Rakhee K Ramakrishnan1,2, Khuloud Bajbouj1,2, Mahmood Y Hachim3, Andrea K Mogas4, Bassam Mahboub1,5, Ronald Olivenstein4, Rifat Hamoudi1,2, Rabih Halwani1,2, Qutayba Hamid1,4. 1. College of Medicine, University of Sharjah, Sharjah, United Arab Emirates. 2. Sharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates. 3. College of Medicine, Mohammed Bin Rashid University, Dubai, United Arab Emirates. 4. Meakins-Christie Laboratories, McGill University, Montreal, QC, Canada. 5. Rashid Hospital, Dubai Health Authority, Dubai, United Arab Emirates.
Abstract
BACKGROUND: Sub-epithelial fibrosis is a characteristic feature of airway remodeling in asthma which correlates with disease severity. Current asthma medications are ineffective in treating fibrosis. In this study, we aimed to investigate the mitochondrial phenotype in fibroblasts isolated from airway biopsies of non-asthmatic and severe asthmatic subjects by examining mitophagy as a mechanism contributing to fibroblast persistence and thereby, fibrosis in severe asthma. METHODS: Bioinformatics analysis of publicly available transcriptomic data was performed to identify the top enriched pathways in asthmatic fibroblasts. Endogenous expression of mitophagy markers in severe asthmatic and non-asthmatic fibroblasts was determined using qRT-PCR, western blot and immunofluorescence. Mitophagy flux was examined by using lysosomal protease inhibitors, E64d and pepstatin A. Mitochondrial membrane potential and metabolic activity were also evaluated using JC-1 assay and MTT assay, respectively. RESULTS: Bioinformatics analysis revealed the enrichment of Pink/Parkin-mediated mitophagy in asthmatic fibroblasts compared to healthy controls. In severe asthmatic fibroblasts, the differential expression of mitophagy genes, PINK1 and PRKN, was accompanied by the accumulation of PINK1, Parkin and other mitophagy proteins at baseline. The further accumulation of endogenous LC3BII, p62 and PINK1 in the presence of E64d and pepstatin A in severe asthmatic fibroblasts reinforced their enhanced mitophagy flux. Significantly reduced mitochondrial membrane potential and metabolic activity were also demonstrated at baseline confirming the impairment in mitochondrial function in severe asthmatic fibroblasts. Interestingly, these fibroblasts displayed neither an apoptotic nor senescent phenotype but a pro-fibrotic phenotype with an adaptive survival mechanism triggered by increased AMPKα phosphorylation and mitochondrial biogenesis. CONCLUSIONS: Our results demonstrated a role for mitophagy in the pathogenesis of severe asthma where the enhanced turnover of damaged mitochondria may contribute to fibrosis in severe asthma by promoting the persistence and pro-fibrotic phenotype of fibroblasts.
BACKGROUND:Sub-epithelial fibrosis is a characteristic feature of airway remodeling in asthma which correlates with disease severity. Current asthma medications are ineffective in treating fibrosis. In this study, we aimed to investigate the mitochondrial phenotype in fibroblasts isolated from airway biopsies of non-asthmatic and severe asthmatic subjects by examining mitophagy as a mechanism contributing to fibroblast persistence and thereby, fibrosis in severe asthma. METHODS: Bioinformatics analysis of publicly available transcriptomic data was performed to identify the top enriched pathways in asthmatic fibroblasts. Endogenous expression of mitophagy markers in severe asthmatic and non-asthmatic fibroblasts was determined using qRT-PCR, western blot and immunofluorescence. Mitophagy flux was examined by using lysosomal protease inhibitors, E64d and pepstatin A. Mitochondrial membrane potential and metabolic activity were also evaluated using JC-1 assay and MTT assay, respectively. RESULTS: Bioinformatics analysis revealed the enrichment of Pink/Parkin-mediated mitophagy in asthmatic fibroblasts compared to healthy controls. In severe asthmatic fibroblasts, the differential expression of mitophagy genes, PINK1 and PRKN, was accompanied by the accumulation of PINK1, Parkin and other mitophagy proteins at baseline. The further accumulation of endogenous LC3BII, p62 and PINK1 in the presence of E64d and pepstatin A in severe asthmatic fibroblasts reinforced their enhanced mitophagy flux. Significantly reduced mitochondrial membrane potential and metabolic activity were also demonstrated at baseline confirming the impairment in mitochondrial function in severe asthmatic fibroblasts. Interestingly, these fibroblasts displayed neither an apoptotic nor senescent phenotype but a pro-fibrotic phenotype with an adaptive survival mechanism triggered by increased AMPKα phosphorylation and mitochondrial biogenesis. CONCLUSIONS: Our results demonstrated a role for mitophagy in the pathogenesis of severe asthma where the enhanced turnover of damaged mitochondria may contribute to fibrosis in severe asthma by promoting the persistence and pro-fibrotic phenotype of fibroblasts.
Sub-epithelial fibrosis is a characteristic feature of airway remodeling documented across all degrees of asthma severity [1, 2]. In addition to being the prime source of extracellular matrix (ECM) proteins [3], fibroblasts are important in maintaining a state of chronic pulmonary inflammation through the production of a variety of cytokines, chemokines, proteases and lipid mediators [4]. Current asthma therapy, including inhaled corticosteroids, leukotriene antagonists and long-acting beta-agonists, have shown limited effectiveness in arresting or reversing sub-epithelial fibrosis [5], necessitating the identification of novel fibrotic mechanisms.Mitochondrial dysfunction is suggested to have downstream consequences on key aspects of asthma pathophysiology, including fibrosis, proliferation, apoptosis, response to oxidative stress, calcium regulation and airway contractility [6]. Mitochondrial dysfunction in the different airway cell populations, including alveolar epithelial cells (AECs), fibroblasts and immune cells, can contribute towards the fibrotic process [7], by stimulating AEC-derived cytokines leading to activation of myofibroblasts [8].Mitochondrial homeostasis is ensured by the coordinated operations of quality control (QC) mechanisms including mitophagy and mitochondrial biogenesis. PTEN-induced putative kinase 1 (PINK1) and E3 ubiquitin ligase Parkin are well known regulators of mitophagy. Their coordinated activities are capable of sensing and triggering the removal of damaged mitochondria [9]. While the defective mitochondria are selectively recycled via mitophagy, new functional mitochondria are replenished into the pool through biogenesis in order to maintain a functional mitochondrial network under stressful environments.Mitophagy is usually enhanced as an early protective response to promote cell survival. Emerging evidence suggests that autophagy and mitophagy can play both protective as well as detrimental roles in humanpulmonary diseases albeit in a cell type-specific manner [10, 11]. Disruptions in mitochondrial QC have been extensively studied in the pathogenesis of other chronic lung diseases, including chronic obstructive pulmonary disease (COPD) and idiopathic pulmonary fibrosis (IPF) [12, 13], but comparatively less explored in asthma.In fact, oxidative stress and mitochondrial dysfunction have been implicated in the development and progression of asthma [14, 15]. Microscopic analysis of bronchial epithelium from asthmatic children revealed abnormal ultrastructural changes in the mitochondria providing one of the early evidences of mitochondrial abnormality in asthma [16]. Mechanistically, oxidative damage-induced mitochondrial dysfunction drives the molecular processes responsible for the development of allergic airway inflammation implying that mitochondrial defects could pose as risk factors for severe allergic disorders in atopic individuals [15].Previous work by our group had demonstrated the involvement of autophagy in asthma pathogenesis. Increased number of autophagosomes were detected in fibroblasts within bronchial biopsy tissue from a moderately severe asthmatic [17]. We also showed a positive correlation between ATG5 gene expression and collagen deposition in the airways of refractory moderate-to-severe asthmatics suggesting that dysregulation of autophagy may promote sub-epithelial fibrosis in severe asthmatic airways [18]. The aim of this study was to analyze the mitochondrial QC mechanism of mitophagy in bronchial fibroblasts from severe asthmatic (S-As) patients. These fibroblasts demonstrated increased mitophagy flux, however, with enhanced mitochondrial turnover. This may contribute to increased persistence of these fibroblasts despite their mitochondrial damage and hence, the aberrant pro-fibrotic phenotype observed in severe asthma.
Materials and methods
Bioinformatics analysis
In order to identify the top enriched pathways in asthmatic fibroblasts compared to their healthy counterparts, we explored publicly available gene expression databases. We searched datasets where pulmonary fibroblasts were compared between asthmatic and healthy controls. One of the few studies that fulfilled the criteria was GSE27335 [19], where both parenchymal and bronchial fibroblasts were taken into consideration. Microarray analysis was performed on 12 different matched pairs of fibroblasts (4 pairs from normal subjects and 8 pairs from asthmatics). The normalized gene expression of all the samples was extracted and subjected to differential expression analysis to identify the top upregulated and downregulated genes in asthmatic fibroblasts compared to healthy controls. Differential gene expression analysis and Gene Ontology enrichment analysis using reactome database were performed using the BioJupies tool [20].
Fibroblast cell culture
Human primary bronchial fibroblasts derived from endobronchial tissue specimens were obtained from the Quebec Respiratory Health Research Network Tissue Bank (McGill University Health Centre (MUHC)/ Meakins-Christie Laboratories Tissue Bank, Montreal, Canada), as described previously [21]. The original study was approved by the MUHC Research Ethics Board (2003–1879) and the subjects had provided written informed consent. Fibroblasts used in this study were age-matched and chosen from subjects who were non-smokers. The mean age of the subjects was 43.7 ± 12.5 years for the healthy controls and 43.3 ± 8.3 years for the severe asthmatics. Bronchial fibroblasts isolated from three severe asthmatic and three non-asthmatic healthy control subjects were maintained in Dulbecco’s Modified Eagle’s Medium (DMEM) supplemented with 10% Fetal Bovine Serum (FBS) and 1% Penicillin-Streptomycin in a humidified 5% CO2/37°C incubator. For experiments, the cells were seeded into 12- or 96-well plates at a cellular density of 5x104 and 2x103 cells/well, respectively. At ~70% confluency, they were serum-starved in FBS-free DMEM complete medium for 24 hours, and cultured in DMEM complete medium thereafter for the specified amount of time. The primary fibroblasts included in this study exhibited doubling times varying from 30–48 hours. Therefore, serum starvation was performed prior to all experiments in order to synchronize the population of proliferating cells and to provide a more reproducible experimental condition [22]. In order to investigate the lysosomal turnover of mitophagy markers, the fibroblasts were co-incubated with 10μg/ml of E64d (Santa Cruz, Cat. No. sc-201280A) and 10μg/ml of Pepstatin A (Santa Cruz, Cat. No. sc-45036). In order to inhibit autophagy, the cells were treated with 1mM 3-methyl adenine (3-MA) (R&D Systems, Cat. No. 3977) for 48 hours. The cells were used within passage 8 in the experiments described below. All cell culture reagents were purchased from Sigma-Aldrich.
Quantitative real time-polymerase chain reaction (qRT-PCR)
Total RNA was extracted from cell pellets using the RNeasy Mini Kit (Qiagen, Cat. No. 74106). RNA quality and concentrations were determined by Nanodrop (Thermo Scientific) spectrophotometric measurements. cDNA synthesis was performed from 300ng of RNA using the FIREScript RT cDNA Synthesis Kit (Solis Biodyne, Cat. No. 06-15-00050) in the Veriti Thermal Cycler (Applied Biosystems). qRT-PCR reactions were set up using the 5x Hot FirePol EvaGreen qRT-PCR SuperMix (Solis Biodyne, Cat. No. 08-36-00001) in QuantStudio 3 Real-Time PCR System (Applied Biosystems). The primers used are listed in Table 1. Gene expression was analyzed using the Comparative CT (ΔΔ CT) method after normalization to the housekeeping gene 18s rRNA. All results are presented as fold expression change compared to non-asthmatic healthy controls.
Table 1
Sequence list of primers used for qRT-PCR.
Genes
Forward Primer Sequence (5'-3')
Reverse Primer Sequence (5'-3')
COL1A1
GATTGACCCCAACCAAGGCTG
GCCGAACCAGACATGCCTC
COL3A1
GATCAGGCCAGTGGAAATG
GTGTGTTTCGTGCAACCATC
COL5A1
GTCGATCCTAACCAAGGATGC
GAACCAGGAGCCCGGGTTTTC
FN1
CTGGGAACACTTACCGAGTGGG
CCACCAGTCTCATGTGGTCTCC
IL6
GAAAGCAGCAAAGAGGCAC
GCACAGCTCTGGCTTGTTCC
IL11
GTGGCCAGATACAGCTGTCGC
GGTAGGACAGTAGGTCCGCTC
IL8
CCACACTGCGCCAACACAG
CTTCTCCACAACCCTCTGC
GROα
CTGCAGGGAATTCACCCCAAG
GATGCAGGATTGAGGCAAGC
ATG5
GACCAGTTTTGGGCCATCAATC
GTGCAACTGTCCATCTGCAGC
LC3B
GAACGGACACAGCATGGTCAGC
ACGTCTCCTGGGAGGCATAG
p62
TTGTACCCACATCTCCCGCCA
TACTGGATGGTGTCCAGAGCCG
LAMP2
AACTTCAACAGTGGCACCCACC
AGTGATGTTCAGCTGCAGCCCC
PINK1
CCTGCGCCAGTACCTTTGTGT
TGGGTCCAGCTCCACAAGGATG
PRKN
CTCCAGCCATGGTTTCCCAGTG
CCAGGTCACAATTCTGCACAGTC
18s
TGACTCAACACGGGAAACC
TCGCTCCACCAACTAAGAAC
Western blot
The cell pellets were lysed in RIPA lysis buffer (50mM Tris, 150mM NaCl, 1% sodium deoxycholate, 0.1% sodium-dodecyl-sulphate (SDS), 1% Triton X-100, pH7.5) supplemented with 1x Protease Inhibitor Cocktail (Sigma-Aldrich, Cat. No. P2714) and 1mM phenylmethylsulfonyl fluoride (Sigma-Aldrich, Cat. No. P7626). The protein lysates were quantified using the Protein Assay Kit II (Bio-Rad, Cat. No. 5000002). After routine electrophoresis and blotting steps, the primary and secondary antibody-probed blots were developed using the Clarity Western ECL Substrate (Bio-Rad, Cat. No. 170–5060) in the ChemiDoc Touch Gel and Western Blot Imaging System (Bio-Rad). The following antibodies were used in this study–anti-LC3B (abcam, Cat. No. ab51520, 1:5000 dilution), Mitophagy Antibody Sampler Kit (Cell Signaling Technology, Cat. No. 43110T, 1:1000 dilution), anti-LAMP2A (abcam, Cat. No. ab125068, 1:2000 dilution), phospho-AMPKα (Thr172) (Cell Signaling Technology, Cat. No. 2535T, 1:1000 dilution), anti-AMPKα2 (abcam, Cat. No. ab3760, 1:1000 dilution), anti-SIRT1 (Cell Signaling Technology, Cat. No. 8469s, 1:2000 dilution) and anti-PGC1α (Novus Biologicals, Cat. No. NBP1-04676, 1:2000 dilution). Anti-β-actin (Sigma-Aldrich, Cat. No. A5441, 1:10000 dilution) was used as the loading control. Anti-rabbit IgG, HRP-linked (Cell Signaling Technology, Cat. No. 7074S, 1:3000 dilution) and anti-mouse IgG, HRP-linked (Cell Signaling Technology, Cat. No. 7076S, 1:3000 dilution) secondary antibodies were used. Image Lab software (Bio-Rad) was used to detect and quantify the protein bands.
Autophagy assay
Autophagosomal levels were assessed in the bronchial fibroblasts using the Autophagy Assay Kit (Sigma-Aldrich, Cat. No. MAK138). Autophagy detection was performed as per kit instructions. Briefly, the fibroblasts were stained with the Autophagosome Detection Reagent for 30 minutes at 37°C in the dark. The fluorescence intensity was measured at an excitation of 360nm and emission of 520nm in Synergy HTX fluorescence reader (BioTek) and imaged using Olympus BX51 fluorescence microscope.
Immunofluorescence assays
Mitophagy tracking was performed using fibroblasts transduced with Premo Autophagy Sensor LC3B-GFP (Invitrogen, Cat. No. P36235) and stained thereafter for PINK1. Cells were transduced with LC3B-GFP as per manufacturer instructions, cultured for 24 hours and stained with anti-PINK1 (Novus Biologicals, Cat. No. BC100-494, 1:500 dilution) primary antibody and PE-conjugated secondary antibody (Molecular Probes, Cat. No. P-2771MP, 1:500 dilution).Mitochondria and lysosomes were tracked by staining fibroblasts using MitoTracker Green (Invitrogen, Cat. No. M7514) and LysoTracker Deep Red (Invitrogen, Cat. No. L12492) fluorescent probes, respectively. Cells were stained with 200nM Mitotracker Green and 100nM Lyostracker Deep Red for 15 min at 37°C before imaging. Images were taken by the Nikon Eclipse Ti confocal microscope.
Mitochondrial membrane potential assay
Mitochondrial membrane potential was measured using the cationic dye tetraethylbenzimidazolylcarbocyanine iodide (JC-1; abcam, Cat. No. ab113850) that aggregates in energized mitochondria, in accordance with manufacturer’s instructions. Briefly, the fibroblasts were stained with 10μM JC-1 solution for 10 minutes at 37°C in the dark. The microplate was read in the Varioskan Flash multi-mode plate reader (Thermo Scientific) at an excitation wavelength of 475nm and emission wavelength of 590nm to measure the JC-1 aggregate signal, which is an indicator of energized mitochondria.
Mitochondrial metabolic activity assay
After the desired incubation period, the cells were incubated with MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) solution (5mg/ml in PBS; Sigma-Aldrich, Cat. No. M5655) for 3 hours at 37°C and dimethylsulfoxide (DMSO; Sigma-Aldrich, Cat. No. D8418) was used to solubilize the formazan crystals. The absorbance was read at 570nm in Synergy H1 multi-mode microplate reader (BioTek).
Annexin V apoptosis assay
Apoptosis was measured in fibroblasts using the PEAnnexin V Apoptosis Detection Kit with 7-AAD (Biolegend, Cat. No. 640934), according to manufacturer instructions. Briefly, the cells were labelled with Annexin V-PE and 7-AAD for 20 minutes at room temperature in the dark. The cells were then analyzed using the BD FACSAria III flow cytometer and the acquired data analyzed using FlowJo v10 software.
β-galactosidase senescence assay
Cellular senescence was measured in fibroblasts using the β-galactosidase staining kit (abcam, Cat. No. ab102534) as per kit protocol. In brief, the cells were fixed and incubated in X-gal staining solution overnight at 37°C inside a sealable bag. Images were taken using a bright-field microscope (Olympus BX51).
Statistical analysis
All results are presented as mean ± standard error of the mean (SEM) from 2–4 independent experiments using GraphPad Prism 6.0 software. Statistical comparisons between the groups (severe asthmatic and non-asthmatic control fibroblasts) were performed using unpaired Student t-test. Unpaired t-test with multiple comparisons using the Holm-Sidak method was used to ascertain statistical significance in the presence of treatments. A p value < 0.05 was considered statistically significant.
Results
1. Mitophagy related pathways are among the top enriched pathways in asthmatic fibroblasts
To investigate the differential regulation of genes related to autophagy and mitophagy in asthmatic fibroblasts, we explored the publicly available gene expression database GSE27335; which compared fibroblasts from asthmatics versus healthy controls. Differential gene expression analysis (Fig 1A and 1B) followed by Gene Ontology enrichment analysis using reactome database (Fig 1C) indicated that Pink/Parkin Mediated Mitophagy pathway was among the top upregulated pathways in asthmatic fibroblasts when compared to healthy. This implicated the dysregulation of mitophagy in the pathogenesis of asthma and we decided to explore further the mechanism of this dysregulation and its contribution to fibrosis.
Fig 1
PINK/Parkin mediated mitophagy is among the top enriched pathways in asthmatic fibroblasts.
(A) Heatmap of differentially expressed genes (DEG) between asthmatic and healthy fibroblasts. (B) The log2-fold change and statistical significance of each gene was calculated by performing differential gene expression analysis. Each point in the plot represents a gene. Red points indicate significantly up-regulated genes and blue points indicate significantly down-regulated genes (logFC threshold = 1.5 and p-value threshold = 0.05). (C) Gene Ontology enrichment analysis was generated using Enrichr tool. The x-axis indicates the -log10(p-value) for each term. Significant terms are highlighted in bold. Only pathways with False Discovery Rate (FDR) less than 0.05 were selected.
PINK/Parkin mediated mitophagy is among the top enriched pathways in asthmatic fibroblasts.
(A) Heatmap of differentially expressed genes (DEG) between asthmatic and healthy fibroblasts. (B) The log2-fold change and statistical significance of each gene was calculated by performing differential gene expression analysis. Each point in the plot represents a gene. Red points indicate significantly up-regulated genes and blue points indicate significantly down-regulated genes (logFC threshold = 1.5 and p-value threshold = 0.05). (C) Gene Ontology enrichment analysis was generated using Enrichr tool. The x-axis indicates the -log10(p-value) for each term. Significant terms are highlighted in bold. Only pathways with False Discovery Rate (FDR) less than 0.05 were selected.
2. Increase in basal autophagy in severe asthmatic fibroblasts
Previously, we reported the dysregulation of autophagy in asthmatic airway tissues [17, 18]. Therefore, we first examined the basal autophagy levels in severe asthmatic (S-As) and control fibroblasts. The primary fibroblasts used in this study were previously described [21]. A significant increase in autophagic vacuoles was observed in the S-As fibroblasts compared to the control fibroblasts (Fig 2A). A 1.35-fold increase in autophagosomal fluorescence intensity was detected in S-As fibroblasts in comparison to control (p = 0.0314), suggesting an increase in the number of autophagosomes at baseline in S-As fibroblasts.
Fig 2
Increase in basal autophagy in severe asthmatic fibroblasts.
The control and severe asthmatic (S-As) fibroblasts were cultured in DMEM complete medium for 4 hours post serum-starvation to measure autophagy at baseline. (A) To measure autophagosomal levels, the fibroblasts were stained with Autophagosome Detection Reagent for 30 minutes at 37°C in the dark and fluorescent readings were taken using a fluorescence microscope and plate reader. Representative images showing fluorescent staining of autophagosomal vacuoles (blue) in control and S-As fibroblasts (left panel). Quantitative representation of autophagosomal levels in relative fluorescence units (RFU) (right panel). (B) Under basal conditions, mRNA expression of autophagy markers, ATG5, LC3B, SQSTM1/p62 and LAMP2, in control and S-As fibroblasts was analysed by qRT-PCR and expressed as fold expression change relative to control fibroblasts post normalization to housekeeping gene 18s rRNA. (C) Representative immunoblots depicting protein levels of LC3B, p62 and LAMP2A in control and S-As fibroblasts. β-actin was used as loading control. (D) Densitometric analysis of LC3B lipidation represented as the ratio of LC3BII to LC3BI, p62 and LAMP2A levels in control and S-As fibroblasts. (E) The fibroblasts were cultured in DMEM complete medium for 48 hours post serum-starvation for immunofluorescence measurements at baseline. Representative images depicting fluorescent staining of autophagosomes using LC3B-GFP (green) and lysosomes using LysoTracker Deep Red (red). (F) The fibroblasts were cultured in the presence of lysosomal protease inhibitors, E64d and pepstatin A, for 6 hours post serum-starvation. Cell lysates were subjected to immunoblot analysis of autophagy proteins LC3B and p62. β-actin was used as loading control (top panel). Densitometric analysis of LC3B lipidation represented as the ratio of LC3BII to LC3BI and p62 levels in control and S-As fibroblasts upon treatment with E64d and pepstatin A (bottom panel). Graphical data are represented as mean ± SEM from 2–4 independent experiments with at least 3 unique donors in each group. *p < 0.05, determined by unpaired two-tailed Student t-test (Control vs Severe Asthma) or unpaired t-test with multiple comparisons using the Holm-Sidak method (Cmplt vs Cmplt+E64d+PepA).
Increase in basal autophagy in severe asthmatic fibroblasts.
The control and severe asthmatic (S-As) fibroblasts were cultured in DMEM complete medium for 4 hours post serum-starvation to measure autophagy at baseline. (A) To measure autophagosomal levels, the fibroblasts were stained with Autophagosome Detection Reagent for 30 minutes at 37°C in the dark and fluorescent readings were taken using a fluorescence microscope and plate reader. Representative images showing fluorescent staining of autophagosomal vacuoles (blue) in control and S-As fibroblasts (left panel). Quantitative representation of autophagosomal levels in relative fluorescence units (RFU) (right panel). (B) Under basal conditions, mRNA expression of autophagy markers, ATG5, LC3B, SQSTM1/p62 and LAMP2, in control and S-As fibroblasts was analysed by qRT-PCR and expressed as fold expression change relative to control fibroblasts post normalization to housekeeping gene 18s rRNA. (C) Representative immunoblots depicting protein levels of LC3B, p62 and LAMP2A in control and S-As fibroblasts. β-actin was used as loading control. (D) Densitometric analysis of LC3B lipidation represented as the ratio of LC3BII to LC3BI, p62 and LAMP2A levels in control and S-As fibroblasts. (E) The fibroblasts were cultured in DMEM complete medium for 48 hours post serum-starvation for immunofluorescence measurements at baseline. Representative images depicting fluorescent staining of autophagosomes using LC3B-GFP (green) and lysosomes using LysoTracker Deep Red (red). (F) The fibroblasts were cultured in the presence of lysosomal protease inhibitors, E64d and pepstatin A, for 6 hours post serum-starvation. Cell lysates were subjected to immunoblot analysis of autophagy proteins LC3B and p62. β-actin was used as loading control (top panel). Densitometric analysis of LC3B lipidation represented as the ratio of LC3BII to LC3BI and p62 levels in control and S-As fibroblasts upon treatment with E64d and pepstatin A (bottom panel). Graphical data are represented as mean ± SEM from 2–4 independent experiments with at least 3 unique donors in each group. *p < 0.05, determined by unpaired two-tailed Student t-test (Control vs Severe Asthma) or unpaired t-test with multiple comparisons using the Holm-Sidak method (Cmplt vs Cmplt+E64d+PepA).The gene expression levels of autophagy markers, autophagy related 5 (ATG5), microtubule-associated protein 1 light chain 3B (LC3B), sequestosome-1 (SQSTM1/p62) and lysosomal-associated membrane protein 2 (LAMP2), were then determined. The autophagy related genes, ATG5, LC3B and SQSTM1, did not appear to be differentially expressed between the S-As and control fibroblasts (Fig 2B). However, we detected an upregulation in the gene expression of LAMP2 (p = 0.0357) (Fig 2B), that encodes a lysosomal protein responsible for lysosomal stability and lysosomal degradation of autophagic vacuoles [23, 24].We next performed western blot analysis to determine the levels of autophagy proteins at baseline. Upon activation of autophagy, the cytosolic LC3BI is converted to the autophagosomal membrane-bound LC3BII, which serves as an early indicator of autophagosomal formation. The LC3BII levels as well as LC3B lipidation (conversion of LC3BI to LC3BII represented as LC3BII/LC3BI ratio) were increased in S-As fibroblasts compared to control (p = 0.0234) (Fig 2C and 2D). Additionally, the p62 levels also showed an increased trend, but it did not reach statistical significance (Fig 2C and 2D).LC3BII and p62 accumulation can signify either enhanced autophagy initiation or defective clearance of autophagic vacuoles by lysosomes. To exclude lysosomal defect, we determined the LAMP2A protein levels using western blot analysis and used the LysoTracker probe that stains lysosomes. LAMP2A was significantly increased in S-As fibroblasts (p = 0.0304) (Fig 2C and 2D) in agreement with the increased LAMP2 gene expression (Fig 2B). Enhanced LysoTracker fluorescence was also detected in these fibroblasts (Fig 2E), suggesting increased lysosomal activity and thus, excluding the possibility of defective autophagy clearance. We further, transduced the fibroblasts with LC3B-GFP to assess the co-localization of autophagosomes and lysosomes. Increased co-localization of LC3B and LysoTracker probes was indicated in S-As fibroblasts when compared to control fibroblasts (Fig 2E), suggesting increased autophagy flux in S-As fibroblasts.Autophagy being a dynamic process requires the use of multiple assays to monitor the entire process as well as to appropriately interpret the results [25]. The lysosomal turnover of LC3BII and p62 reportedly provides a more accurate indication of autophagic activity than its baseline levels [26]. We, therefore, cultured the fibroblasts in the presence of two lysosomal protease inhibitors, E64d and pepstatin A, for a period of 6 hours to monitor the kinetics of autophagy turnover. LC3BII was the predominant form in S-As fibroblasts when compared to control (Fig 2F). In the presence of E64d and pepstatin A, accumulation of LC3BII was observed in both group of fibroblasts (Fig 2F). p62 also showed further accumulation upon treatment with E64d and pepstatin A in S-As fibroblasts (Fig 2F), indicating their lysosomal turnover through autophagy. The above findings suggest an increase in basal autophagosome formation as well as autophagy flux in S-As fibroblasts when compared to their healthy counterparts.
3. Accumulation of endogenous full-length PINK1 in severe asthmatic fibroblasts
We next aimed to determine if the increased autophagy exhibited by S-As fibroblasts was linked to their mitochondrial phenotype as the mitochondrial QC mechanism of mitophagy uses the autophagy machinery for completion. Since the bioinformatics analysis indicated enrichment of Pink/Parkin-mediated mitophagy genes in asthmatic fibroblasts, we first examined the gene expression of mitophagy markers, PINK1 and PRKN, by qRT-PCR. The mRNA expression of PINK1 (p = 0.0820) and PRKN (p = 0.0055) was upregulated in S-As fibroblasts when compared to control (Fig 3A). The differential expression of PINK1 and PRKN genes thus, supported the bioinformatics analysis and indicated the activation of Pink/Parkin-mediated mitophagy pathway in S-As fibroblasts.
Fig 3
Stabilization of PINK1 in severe asthmatic fibroblasts.
(A) The fibroblasts were cultured in DMEM complete medium for 4 hours post serum-starvation. Under basal conditions, mRNA expression of mitophagy markers, PINK1 and PRKN, in control and S-As fibroblasts was analysed by qRT-PCR and expressed as fold expression change relative to control fibroblasts post normalization to housekeeping gene 18s rRNA. (B) The fibroblasts were cultured in complete medium for the indicated time points post serum-starvation. Whole cell lysates were subjected to immunoblot analysis of PINK1 protein. β-actin was used as loading control. (C) Representative immunoblots depicting mitophagy related proteins, PINK1, Parkin, BNIP3, BNIP3L, NDP52, and optineurin in control and S-As fibroblasts. β-actin was used as loading control. (D) The fibroblasts were cultured in the presence of lysosomal protease inhibitors, E64d and pepstatin A, for 6 hours post serum-starvation. Cell lysates were subjected to immunoblot analysis of PINK1. β-actin was used as loading control. (E) The fibroblasts were cultured in DMEM complete medium for 48 hours post serum-starvation for immunofluorescence measurements at baseline. Representative images depicting control and S-As fibroblasts transduced with LC3B-GFP (green) and immunostained with PINK1-PE (red). (F) Representative images depicting fluorescent staining of mitochondria using MitoTracker Green (green) and lysosomes using LysoTracker Deep Red (red). Graphical data are represented as mean ± SEM from 3–4 independent experiments with at least 3 unique donors in each group. *p < 0.05, **p < 0.01, determined by unpaired two-tailed Student t-test.
Stabilization of PINK1 in severe asthmatic fibroblasts.
(A) The fibroblasts were cultured in DMEM complete medium for 4 hours post serum-starvation. Under basal conditions, mRNA expression of mitophagy markers, PINK1 and PRKN, in control and S-As fibroblasts was analysed by qRT-PCR and expressed as fold expression change relative to control fibroblasts post normalization to housekeeping gene 18s rRNA. (B) The fibroblasts were cultured in complete medium for the indicated time points post serum-starvation. Whole cell lysates were subjected to immunoblot analysis of PINK1 protein. β-actin was used as loading control. (C) Representative immunoblots depicting mitophagy related proteins, PINK1, Parkin, BNIP3, BNIP3L, NDP52, and optineurin in control and S-As fibroblasts. β-actin was used as loading control. (D) The fibroblasts were cultured in the presence of lysosomal protease inhibitors, E64d and pepstatin A, for 6 hours post serum-starvation. Cell lysates were subjected to immunoblot analysis of PINK1. β-actin was used as loading control. (E) The fibroblasts were cultured in DMEM complete medium for 48 hours post serum-starvation for immunofluorescence measurements at baseline. Representative images depicting control and S-As fibroblasts transduced with LC3B-GFP (green) and immunostained with PINK1-PE (red). (F) Representative images depicting fluorescent staining of mitochondria using MitoTracker Green (green) and lysosomes using LysoTracker Deep Red (red). Graphical data are represented as mean ± SEM from 3–4 independent experiments with at least 3 unique donors in each group. *p < 0.05, **p < 0.01, determined by unpaired two-tailed Student t-test.PINK1 protein has a short half-life and its processing depends on the state of mitochondrial membrane potential (ΔΨm). Rapid and constitutive voltage-dependent degradation of PINK1 occurs in healthy cells whereas a loss in ΔΨm stabilizes the mitochondrial accumulation of full-length PINK1 [27]. In order to assess PINK1 processing and its stability in severe asthma, the levels of PINK1 protein was determined in S-As and control fibroblasts at 12 and 24 hours using western blot analysis. Interestingly, the full-length precursor form of PINK1 (~60kDa) was predominant in the S-As fibroblasts with faintly detectable bands of ~30-50kDa cleaved fragments (Fig 3B). In contrast, both full-length PINK1 and its cleaved isoforms were detected in the control fibroblasts at 12 hours, while the cleaved forms predominated at 24 hours (Fig 3B). Since mitochondrial integrity is critical for PINK1 processing, accumulation of endogenous full-length PINK1 at steady state in S-As fibroblasts reflects the dissipation of ΔΨm.Since the mitophagy machinery involves the coordinated activities of multiple proteins, including PINK1, Parkin, BCL2/adenovirus E1B-interacting protein 3-like (BNIP3L)/Nix, BNIP3, Optineurin and NDP52 [28], we also assessed their expression by western blot analysis. In addition to PINK1 and Parkin, the protein expression of several other mitophagy markers, including BNIP3, BNIP3L, Optineurin and NDP52 was also increased in S-As fibroblasts in comparison to control fibroblasts (Fig 3C), suggesting the activation of the PINK1/Parkin-mediated mitophagy machinery that delivers the damaged mitochondria to autophagosomes.To confirm the observed increase in mitophagy in S-As fibroblasts, we studied the lysosomal turnover of PINK1 by culturing the fibroblasts in the presence of E64d and pepstatin A for 6 hours. In contrast to control fibroblasts, significant accumulation of the full-length precursor form of PINK1 was observed in S-As fibroblasts upon treatment with E64d and pepstatin A (Fig 3D), indicating their lysosomal turnover through autophagy. The fibroblasts were further transduced with LC3B-GFP and stained for PINK1 to ascertain PINK1 co-localization with autophagosomes. The intensity of LC3B and PINK1 immunofluorescence was brighter in the S-As fibroblasts when compared to control (Fig 3E). Moreover, higher co-localization of PINK1 with LC3B was indicated proving increased mitophagy levels in these fibroblasts. This was further confirmed using MitoTracker Green which specifically stains mitochondria and LysoTracker Deep Red that stains lysosomes. A large proportion of the mitochondria in S-As fibroblasts was found to co-localize with lysosomes indicating their degradation via the lysosomal pathway (Fig 3F). Taken together, these findings reflect the presence of damaged mitochondria in S-As fibroblasts that triggers the stabilization of PINK1 and subsequent activation of PINK1/Parkin-mediated mitophagy machinery.
4. Enhanced mitochondrial depolarization in severe asthmatic fibroblasts
The observed increase in mitophagy flux in severe asthmatic fibroblasts is suggestive of mitochondrial depolarization. The state of mitochondrial polarization in bronchial fibroblasts was therefore, determined using the fluorescent JC-1 probe. Mitochondrial JC-1 aggregate fluorescence was reduced by 25% in S-As fibroblasts when compared to control fibroblasts (p = 0.0248) (Fig 4A) indicating that the ΔΨm is partially depolarized in these fibroblasts.
Fig 4
Mitochondrial function is impeded in severe asthmatic fibroblasts.
(A) The control and S-As fibroblasts were labelled with JC-1 dye for 10 minutes and cultured thereafter for 4 hours. (B) The control and S-As fibroblasts were cultured in complete medium for up to 48 hours post serum-starvation. MTT reagent was added at the indicated time points and spectrophotometric readings were taken after 3 hours of incubation. Graphical data are represented as mean ± SEM relative to the control and representative of two independent experiments with each condition performed in triplicate. *p < 0.05, **p < 0.01, determined using unpaired two-tailed Student t-test.
Mitochondrial function is impeded in severe asthmatic fibroblasts.
(A) The control and S-As fibroblasts were labelled with JC-1 dye for 10 minutes and cultured thereafter for 4 hours. (B) The control and S-As fibroblasts were cultured in complete medium for up to 48 hours post serum-starvation. MTT reagent was added at the indicated time points and spectrophotometric readings were taken after 3 hours of incubation. Graphical data are represented as mean ± SEM relative to the control and representative of two independent experiments with each condition performed in triplicate. *p < 0.05, **p < 0.01, determined using unpaired two-tailed Student t-test.The ability of mitochondrial dehydrogenases in metabolically active cells to convert MTT to a colored formazan product could be used as an index of mitochondrial activity [29, 30]. Across both 24 and 48 hours, the S-As fibroblasts displayed significantly reduced mitochondrial metabolic activity compared to the control fibroblasts (Fig 4B). Taken together, the concomitant reduction in ΔΨm and mitochondrial metabolic activity suggest compromised mitochondrial function in the severe asthmatic fibroblasts.
5. Metabolic adaptation of severe asthmatic fibroblasts through activation of AMPKα
Mitochondrial dysfunction is known to induce adaptive changes to overcome adverse cellular consequences and cell death [31, 32]. Mitochondrial dysfunction in primary human fibroblasts triggered an adaptive survival mechanism requiring AMP-activated protein kinase (AMPK)-α activation and glucose supply [33]. We, therefore, assessed the phosphorylation status of AMPKα in S-As fibroblasts. The S-As fibroblasts displayed remarkable amplification in the p-AMPKα/AMKPα ratio (p = 0.0029) (Fig 5A) indicating an active coping mechanism in these fibroblasts in response to mitochondrial insult.
Fig 5
Adaptive fibroblast persistence through AMPKα phosphorylation, SIRT1 and PGC1α expression in severe asthmatic fibroblasts.
(A) The fibroblasts were cultured in complete medium for 24 hours post serum-starvation. Whole cell lysates were subjected to immunoblot analysis of AMPKα and p-AMPKα (top panel). Densitometric analysis of AMPKα phosphorylation represented as the ratio of p-AMPKα to AMPKα (bottom panel). (B) Representative immunoblots depicting protein levels of SIRT1 and PGC1α in control and S-As fibroblasts. β-actin was used as loading control. (C) Densitometric analysis of SIRT1 and PGC1α in control and S-As fibroblasts. (D) The fibroblasts were cultured in complete medium for 48 hours post serum-starvation. Quantitative representation of MitoTracker Green fluorescence showing mitochondrial content in mean fluorescent intensity (MFI). (E) The levels of Annexin-V positive cells and (F) the levels of β-gal positive cells in control and S-As fibroblasts. Graphical data are represented as mean ± SEM from 2–4 independent experiments with at least 3 unique donors in each group. *p < 0.05, **p < 0.01, determined by unpaired two-tailed Student t-test.
Adaptive fibroblast persistence through AMPKα phosphorylation, SIRT1 and PGC1α expression in severe asthmatic fibroblasts.
(A) The fibroblasts were cultured in complete medium for 24 hours post serum-starvation. Whole cell lysates were subjected to immunoblot analysis of AMPKα and p-AMPKα (top panel). Densitometric analysis of AMPKα phosphorylation represented as the ratio of p-AMPKα to AMPKα (bottom panel). (B) Representative immunoblots depicting protein levels of SIRT1 and PGC1α in control and S-As fibroblasts. β-actin was used as loading control. (C) Densitometric analysis of SIRT1 and PGC1α in control and S-As fibroblasts. (D) The fibroblasts were cultured in complete medium for 48 hours post serum-starvation. Quantitative representation of MitoTracker Green fluorescence showing mitochondrial content in mean fluorescent intensity (MFI). (E) The levels of Annexin-V positive cells and (F) the levels of β-gal positive cells in control and S-As fibroblasts. Graphical data are represented as mean ± SEM from 2–4 independent experiments with at least 3 unique donors in each group. *p < 0.05, **p < 0.01, determined by unpaired two-tailed Student t-test.Moreover, AMPK triggers the activation of NAD+-dependent type III deacetylase sirtuin 1 (SIRT1) and its downstream peroxisome proliferator-activated receptor-γ coactivator 1α (PGC1α) leading to induction of mitochondrial gene expression [34, 35]. The increased AMPKα phosphorylation was accompanied by an increase in the expression of SIRT1 (p = 0.0303) and PGC1α (p = 0.0035) in the S-As fibroblasts when compared to control (Fig 5B and 5C), indicating an upregulation in mitochondrial biogenesis. Furthermore, the mitochondrial mass within the two group of fibroblasts was measured using the MitoTracker probe and comparable mitochondrial content was observed between the severe asthmatic and control fibroblast population (Fig 5D), suggesting an efficient turnover of depolarized mitochondria in the severe asthmatic fibroblasts.In order to ensure the turnover of defective mitochondria in S-As fibroblasts, we further measured cellular apoptosis and senescence in these fibroblasts by Annexin V and β-galactosidase staining, respectively. No signs of cellular apoptosis or senescence were observed in these cells (Fig 5E and 5F). These results demonstrated that mitochondrial depolarization in S-As fibroblasts induced an adaptive survival mechanism through AMPKα phosphorylation, and SIRT1 and PGC1α activation.
6. Increased pro-fibrotic and pro-inflammatory signaling in severe asthmatic fibroblasts
In the presence of these mitochondrial alterations, we next wanted to determine the functional phenotype of these bronchial fibroblasts. Fibroblasts from asthmatic airways are known to exhibit a pro-fibrotic and pro-inflammatory phenotype with excessive secretion of ECM proteins, cytokines and chemokines when compared to non-asthmatics [36-38]. Therefore, we characterized their baseline expression of ECM proteins, including collagen types I, III and V (COL1A1, COL3A1 and COL5A1) and fibronectin (FN1), cytokines, including IL-6 and IL-11, and chemokines, including IL-8 and GROα (CXCL1), by qRT-PCR. The two groups of fibroblasts were distinct in their basal expression of ECM as well as cytokines. The S-As fibroblasts demonstrated increased basal expression of COL1A1 (p = 0.0024), COL3A1 (p = 0.0027) and COL5A1 (p = 0.0249), compared to the healthy controls (Fig 6A). Although the S-As fibroblasts showed an increased trend in the mRNA expression of IL-6 and GROα, it did not reach statistical significance (Fig 6B and 6C). However, the S-As fibroblasts demonstrated enhanced expression of IL-11 (p = 0.0259) and IL-8 (p = 0.0231) (Fig 6B and 6C). Consistent with previous reports [37, 38], the severe asthmatic fibroblasts demonstrated increased expression of pro-fibrotic and pro-inflammatory mediators and cytokines. Taken together, our results suggest that the heightened mitochondrial QC mechanisms of mitophagy and biogenesis promote a pro-fibrotic and pro-inflammatory phenotype in S-As fibroblasts.
Fig 6
Pro-fibrotic and pro-inflammatory signaling is increased in severe asthmatic fibroblasts.
The fibroblasts were cultured in DMEM complete medium for 2 hours post serum-starvation. Under basal conditions, mRNA expression of (A) ECM components COL1A1, COL3A1, COL5A1 and FN1, (B) cytokines IL-6 and IL-11, and (C) chemokines IL-8 and GROα, in control and S-As fibroblasts was analysed by qRT-PCR and expressed as fold expression change relative to control fibroblasts post normalization to housekeeping gene 18s rRNA. (D) The fibroblasts were treated with autophagy inhibitor, 3-MA (1mM), for 48 hours, and the mRNA expression of ECM components COL1A1, COL3A1, COL5A1 and FN1, in control and S-As fibroblasts was analysed by qRT-PCR and expressed as fold expression change relative to control fibroblasts post normalization to housekeeping gene 18s rRNA. Data are represented as mean ± SEM from at least 2 independent experiments. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, determined by unpaired two-tailed Student t-test (Control vs Severe Asthma) or unpaired t-test with multiple comparisons using the Holm-Sidak method (Complete Medium vs 3-MA).
Pro-fibrotic and pro-inflammatory signaling is increased in severe asthmatic fibroblasts.
The fibroblasts were cultured in DMEM complete medium for 2 hours post serum-starvation. Under basal conditions, mRNA expression of (A) ECM components COL1A1, COL3A1, COL5A1 and FN1, (B) cytokines IL-6 and IL-11, and (C) chemokines IL-8 and GROα, in control and S-As fibroblasts was analysed by qRT-PCR and expressed as fold expression change relative to control fibroblasts post normalization to housekeeping gene 18s rRNA. (D) The fibroblasts were treated with autophagy inhibitor, 3-MA (1mM), for 48 hours, and the mRNA expression of ECM components COL1A1, COL3A1, COL5A1 and FN1, in control and S-As fibroblasts was analysed by qRT-PCR and expressed as fold expression change relative to control fibroblasts post normalization to housekeeping gene 18s rRNA. Data are represented as mean ± SEM from at least 2 independent experiments. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001, determined by unpaired two-tailed Student t-test (Control vs Severe Asthma) or unpaired t-test with multiple comparisons using the Holm-Sidak method (Complete Medium vs 3-MA).Since autophagy has previously been reported to be a critical regulator of pro-fibrotic signaling in primary human atrial myofibroblasts [39], we targeted autophagy using the pharmacological agent, 3-MA, to block autophagosomal formation. Treatment with 3-MA effectively suppressed COL1A1, COL3A1, COL5A1, and FN1 gene expression in both group of fibroblasts (Fig 6D). This indicated autophagy as a potentially targetable pathway to ameliorate fibrotic signaling in severe asthmatic fibroblasts.
Discussion
In light of the increasing evidence of mitochondrial dysfunction in asthma, we investigated the role of mitophagy in enhancing fibroblast persistence in severe asthma. Here, by using an ex vivo cell culture approach, we provide evidence that fibroblasts from severe asthmatic patients exhibit substantial mitochondrial defects at baseline that is accompanied by increased mitophagy flux in comparison to healthy control fibroblasts. Nevertheless, these fibroblasts demonstrated cellular adaptation to mitochondrial insult by upregulating AMPKα phosphorylation, SIRT1 and PGC1α expression which prevented cellular apoptosis or senescence. Furthermore, the severe asthmatic fibroblasts exhibited a pro-fibrotic and pro-inflammatory phenotype despite their intrinsic mitochondrial alterations. These results have important implications in understanding the role of mitochondrial QC in promoting sub-epithelial fibrosis in severe asthma.Autophagy acts as a sentinel responsible for organelle quality control [40]. Constant turnover of damaged mitochondria is a prerequisite for the establishment of functional mitochondrial network. Since the mitochondria in severe asthma are constantly exposed to oxidative damage [41, 42], enhanced mitophagy levels may serve as a stress adaptation mechanism to avoid cell death. Bioinformatics analysis indicated enrichment of genes associated with the mitophagy pathway in asthmatic fibroblasts (Fig 1C) and in accordance, the mitophagy genes, PINK1 and PRKN, were upregulated in severe asthmatic fibroblasts (Fig 3A).PINK1 processing depends on the mitochondrial membrane potential and its accumulation in the precursor form is indicative of enhanced mitophagy [27]. PINK1 was detectable in the full-length and cleaved forms in control fibroblasts, while the full-length precursor was predominant in severe asthmatic fibroblasts (Fig 3B). The expression of a variety of mitophagy related proteins, including Parkin, BNIP3, BNIP3L, Optineurin and NDP52, that are involved in varying stages of mitophagy [43, 44], was also upregulated in severe asthmatic fibroblasts (Fig 3C). Increased LC3B lipidation and p62 levels were also observed (Fig 2C and 2D), indicating enhanced mitophagy levels in severe asthmatic fibroblasts.Generally, p62 levels are inversely correlated to the activation of autophagy [25]. The increased p62 protein expression noted in severe asthmatic fibroblasts in comparison to control fibroblasts (Fig 2C), however, aligns with some other studies where upregulation of p62 levels was observed with an increase in autophagy flux [45-47]. This could perhaps be explained by the fact that p62 is not specific only to the autophagy pathway and may be dispensable for the execution of parkin-mediated mitophagy [48]. Furthermore, p62 expression levels were found to depend on the rate of autophagic degradation, transcriptional upregulation, and availability of lysosomal-derived amino acids, indicating that they may not always inversely correlate with autophagic activity [49]. Hence, we looked at multiple autophagy and mitophagy markers in this study. The elevated gene and protein expression of LAMP2 (Fig 2B–2D), which is essential for the fusion between autophagic vacuoles and lysosomes [50], further implied constitutive activation of autophagy in these fibroblasts. Increased formation of autophagosomes and increased lysosomal activity (Fig 2A–2E) were also observed using immunofluorescent staining confirming the lysosomal delivery of autophagic vacuoles in severe asthmatic fibroblasts.Static levels of LC3B provide an incomplete assessment of autophagy without the evaluation of autophagy flux. The accumulation of LC3BII and p62 in the presence of E64d and pepstatin A, which inhibit lysosomal proteolytic activity [25], was more prominent in severe asthmatic fibroblasts (Fig 2F). In control fibroblasts, while an accumulation of LC3BII was noted with E64d and pepstatin A treatment, the lack of p62 accumulation with treatment may be explained by the short incubation time of 6 hours, further stressing on the distinct phenotypes exhibited by the control and severe asthmatic fibroblasts. This differential kinetic regulation of LC3B and p62 by small molecules has been reported previously where a faster LC3B response to treatment was observed following which p62 levels increased at a later time point [51]. However, their increase in severe asthmatic fibroblasts indicates their transcriptional upregulation as well confirming an increase in autophagy flux in severe asthmatic fibroblasts when compared to control fibroblasts. Additionally, treatment with E64d and pepstatin A also led to increased accumulation of the full-length precursor form of PINK1 in the severe asthmatic fibroblasts (Fig 3D) confirming active turnover of these proteins through mitophagy. Furthermore, the increased co-localizations of mitochondria with autophagosomes as well as lysosomes substantiated the increase in mitophagy flux in S-As fibroblasts (Fig 3E and 3F).Dissipation of ΔΨm is a sign of mitochondrial damage leading to the accumulation of PINK1 in severe asthmatic fibroblasts. In comparison with control fibroblasts, severe asthmatic fibroblasts were observed with a 25% reduction in ΔΨm (Fig 4A) and a reduction in mitochondrial metabolic activity (Fig 4B). Despite their intrinsic mitochondrial defects, the severe asthmatic fibroblasts demonstrated increased pro-fibrotic ECM (Fig 6A), cytokine (Fig 6B) and chemokine (Fig 6C) gene expression. The ability of these severe asthmatic fibroblasts to increasingly produce ECM proteins as well as pro-fibrotic and pro-inflammatory cytokines support their active role in promoting remodeling and inflammation, two key processes involved in the pathogenesis of asthma. Our observations were in line with previous reports showing that oxidative stress-induced mitochondrial dysfunction drives inflammation and airway smooth muscle remodeling in COPDpatients [52]. Additionally, autophagy was recently reported to be a critical regulator of asthmatic airway remodeling [53]. In agreement, treatment of bronchial fibroblasts with well-known autophagy inhibitor 3-MA significantly reduced COL1A1, COL3A1, COL5A1 and FN1 gene expression in both non-asthmatic and S-As fibroblasts (Fig 6D). Autophagy was previously shown to regulate TGF-β1-induced fibrotic response in primary human airway smooth muscle cells [54], indicating autophagy as a critical pathway for ECM secretion in airway smooth muscle cells. The positive correlation between the gene expression of ATG5 and COL5A1 in the airways of refractory asthmatic subjects further suggests that dysregulation of autophagy may contribute to fibrosis in asthmatic airways, particularly in difficult-to-treat refractory asthmatic individuals [18].At the cellular level, mitochondrial dysfunction triggers adaptive changes to overcome unfavorable cellular consequences and escape cell death [31, 32]. These adaptive mechanisms include induction of mitophagy and mitochondrial biogenesis, alterations in mitochondrial dynamics and morphology, upregulation of glycolysis and alterations in anti-oxidant responses [55]. AMPK is a key nutrient and energy sensor that is central to the regulation of cellular energy homeostasis [56]. AMPK is usually activated as a rescue mechanism when the intracellular AMP to ATP ratio is high [56]. AMPK impacts metabolism and growth by regulating a number of pathways including glucose and lipid metabolism, autophagy and cell polarity. In a study by Distelmaier et al., primary human fibroblasts exhibiting Complex I-associated mitochondrial dysfunction was found to heavily rely on extracellular glucose and AMPKα phosphorylation to initiate an adaptive cell survival response [33]. The mitochondrial depolarization exhibited by the severe asthmatic fibroblasts was accompanied by the increased phosphorylation of AMPKα (Fig 5A) which enabled the cells to metabolically adapt to the innate mitochondrial damage without any induction of cellular apoptosis or senescence (Fig 5E and 5F). Furthermore, elevation in NAD+ levels also activate SIRT1 that in coordination with AMPK regulates mitochondrial mass, ATP production and nutrient oxidation, with the help of transcription co-factor, PGC1α [35, 57]. Accordingly, increased SIRT1 and PGC1α expression was noted in the severe asthmatic fibroblasts (Fig 5B and 5C). Furthermore, there was no significant change in the mitochondrial content between the severe asthmatic and control fibroblasts (Fig 5D). Taking into consideration the increased mitophagy levels in severe asthmatic fibroblasts, the comparable mitochondrial content within the two groups suggest unimpeded mitochondrial turnover in the diseased fibroblasts.AMPKα deficiency has previously been reported to compromise SIRT1 activity resulting in impaired PGC1α deacetylation, thereby impeding mitochondrial gene expression [35]. Similarly, AMPK inhibition was also found to induce cell cycle arrest and apoptosis [58]. Since mitochondrial dysfunction in primary human fibroblasts triggered an adaptive survival mechanism requiring AMPKα activation [33], the activation of the AMPKα/Sirt1/PGC1α signaling axis in severe asthmatic fibroblasts led us to conclude that AMPK appears to act as the trigger for mitochondrial damage-induced metabolic adaptation in severe asthmatic fibroblasts.Generally, cells rely on the highly efficient mitochondrial oxidative phosphorylation (OXPHOS) as the primary source of cellular energy. However, humancancer cells switch the core cellular energy source from mitochondrial OXPHOS to aerobic glycolysis, a phenomenon termed Warburg effect. A metabolic shift to aerobic glycolysis was shown to predispose fibroblasts to a pro-fibrotic phenotype [59, 60]. TGF-β1-induced mitochondrial biogenesis and aerobic glycolysis regulated myofibroblast contractility and differentiation [59]. Likewise, glycolytic reprogramming contributed to the pathogenesis of lung fibrosis by promoting myofibroblast differentiation [60]. It would, therefore, be interesting to compare the glycolytic potential and oxidative phosphorylation capacity in these severe asthmatic fibroblasts in future studies.Although the precise mechanistic signaling of the observed mitophagy levels remain elusive, it is plausible that in the presence of depolarized mitochondria in severe asthmatic fibroblasts, mitophagy is elevated as a rescue mechanism against mitochondrial oxidative stress to prevent apoptosis and senescence in bronchial fibroblasts. This, in turn, may exacerbate the pathophysiology of severe asthma through the persistence of these fibroblasts. Further studies are necessary to elucidate the molecular events driven by these mitochondrial defects in severe asthmatic fibroblasts that lead to their persistent activation and fibrotic behavior.
Conclusions
In summary, we show that increased mitophagy flux is associated with increased mitochondrial biogenesis and improved survival in S-As fibroblasts. As shown in Fig 7, we propose the following model of mitochondrial homeostasis in severe asthmatic fibroblasts. In the increased presence of oxidative stressors such as allergens, pollutants or cigarette smoke, the mitochondria are increasingly prone to damage in severe asthmatic fibroblasts. These damaged mitochondria are effectively cleared by increased mitophagy. To compensate for the mitochondrial loss, new functional mitochondria are generated which eventually become vulnerable to the mitochondrial stressors. This reflects a vicious pathological cycle ensuring the increased persistence of severe asthmatic fibroblasts. Restoring mitochondrial integrity may help maintain a normal fibroblast phenotype and thus, attenuate the development of sub-epithelial fibrosis in severe asthmatic patients.
Fig 7
Graphical abstract–schematic representation of mitochondrial homeostasis in control and severe asthmatic bronchial fibroblasts.
In control fibroblasts, mitochondrial homeostasis is ensured by basal levels of mitophagy and mitochondrial biogenesis. With exposure of hyperresponsive airways in severe asthma to stressors such as allergens, pollutants or cigarette smoke, the mitochondria are increasingly prone to damage in S-As fibroblasts. The damaged mitochondria are effectively recycled by increased mitophagy and biogenesis. The new mitochondria eventually become vulnerable to the mitochondrial stressors reflecting a vicious pathological cycle ensuring the increased persistence of S-As fibroblasts.
Graphical abstract–schematic representation of mitochondrial homeostasis in control and severe asthmatic bronchial fibroblasts.
In control fibroblasts, mitochondrial homeostasis is ensured by basal levels of mitophagy and mitochondrial biogenesis. With exposure of hyperresponsive airways in severe asthma to stressors such as allergens, pollutants or cigarette smoke, the mitochondria are increasingly prone to damage in S-As fibroblasts. The damaged mitochondria are effectively recycled by increased mitophagy and biogenesis. The new mitochondria eventually become vulnerable to the mitochondrial stressors reflecting a vicious pathological cycle ensuring the increased persistence of S-As fibroblasts.(PDF)Click here for additional data file.26 Jun 2020PONE-D-20-12146Enhanced mitophagy in bronchial fibroblasts from severe asthmatic patientsPLOS ONEDear Dr. Hamid,Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.In addition to considering the reviewers’ comments displayed below, the authors need to resolve the following issues:1. It is standard for RT-qPCR that at least two different reference genes are used. What precautions have been taken to ensure that 18sRNA is indeed a valid reference gene in this particular experimental setting?2. It is mentioned in figure legends that the fibroblasts were serum starved before incubated in the complete cell culture medium. The rationale for this approach should be clearly stated and the complete protocol for fibroblast cultivation should be described in Materials and methods.3. The autophagic flux experiments in Fig. 1 are not convincing. Namely, the increase in SQSTM1/p62 protein levels in the absence of transcriptional upregulation actually supports the inhibition, rather than increase in autophagic flux. The results obtained with E64/pepstatin further add to the confusion, as they seem to reduce SQSTM1/p62 levels, which does not make sense if its proteolysis was efficiently blocked. Finally, the small increase in LC3-II levels in E64/pepstatin-incubated asthmatic fibroblast compared to untreated ones seems to correlate with the increased protein loading (as judging from actin levels), which is again incompatible with the increase in autophagic flux. The statistical analysis of the Fig. 2F should help in resolving these issues.4. The phospho-AMPK/AMPK immunoblots should be shown.Reviewer 1:Rakhee et al describe a role for mitophagy in bronchial fibroblasts from severe asthmatic patients. Enhanced mitophage may contribute to fibrosis in the fibrosis of severe asthma. The data presented are convincing and the story is integrated. There are however several issues that need to be addressed.1. For bioinformatics analysis in Fig 1, the authors should show the heatmap of differential gene expression.2. In the analysis of co-localization in Fig 2 and 3, showing the merged image will be more convincing. In Fig 3B,the total PINK1 in control seems to be more than that in S-As. The authors should explain this result. Since the Pink/Parkin signal enhanced in S-As, is there a difference in the ubiquitination of mitochondrial proteins? If the ubiquitination of mitochondrial proteins enhances in S-As, Parkin, as an E3 ubiquitinligase, what is the target protein.3. In Fig 5,activation of AMPKa induced the upregulation of SIRT1 and PGC1a in S-As. The authors should inhibit AMPKα to assess the change of SIRT1, PGC1α and the apoptosis of fibroblast in S-As, thus providing more solid evidence to support their conclusion.4. In Fig 6, the authors suggest that the enhanced turnover of damaged mitochondria in S-As may contribute to fibrosis in severe asthma by promoting the persistence and pro-fibrotic phenotype of fibroblasts. The evidence is not sufficient. The author should show whether inhibitors of mitophagy/autophagy or the blocking of Pink/Parkin signaling affects these pro-fibrotic phenotype of fibroblasts.Reviewer 2:I have reviewed your manuscript “Enhanced mitophagy in bronchial fibroblasts from severe asthmatic patients”. It is of interest, and I am able to consider it for publication in its current form. The authors report that in severe asthmatic fibroblasts, the differential expression of mitophagy genes, PINK1 and PRKN, were accompanied by the accumulation of PINK1, Parkin and other mitophagy proteins. Also, accumulation of endogenous LC3B-Ⅱ, p62 and PINK1 in severe asthmatic fibroblasts was observed. These fibroblasts displayed neither an apoptotic nor senescent phenotype but a pro-fibrotic phenotype. Interestingly, whether these pro-fibrotic fibroblasts are able reverse to pre-epithelial mesenchymal transformation state by improving mitophagy flux. Study needs to clearly demonstrate the relationship between turnover of damaged mitochondria and epithelial mesenchymal transformation, which supports the hypothesis that a role for mitophagy can be attributed to bronchial remodeling in severe asthmatic patients.Please submit your revised manuscript by Aug 08 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. 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Please see the following video for instructions on linking an ORCID iD to your Editorial Manager account: https://www.youtube.com/watch?v=_xcclfuvtxQ8. Your ethics statement must appear in the Methods section of your manuscript. If your ethics statement is written in any section besides the Methods, please move it to the Methods section and delete it from any other section. Please also ensure that your ethics statement is included in your manuscript, as the ethics section of your online submission will not be published alongside your manuscript.[Note: HTML markup is below. Please do not edit.]Reviewers' comments:Reviewer's Responses to QuestionsComments to the Author1. Is the manuscript technically sound, and do the data support the conclusions?The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.Reviewer #1: YesReviewer #2: Yes**********2. Has the statistical analysis been performed appropriately and rigorously?Reviewer #1: YesReviewer #2: Yes**********3. Have the authors made all data underlying the findings in their manuscript fully available?The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.Reviewer #1: YesReviewer #2: Yes**********4. Is the manuscript presented in an intelligible fashion and written in standard English?PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.Reviewer #1: YesReviewer #2: Yes**********5. Review Comments to the AuthorPlease use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)Reviewer #1: Rakhee et al describe a role for mitophagy in bronchial fibroblasts from severe asthmatic patients. Enhanced mitophage may contribute to fibrosis in the fibrosis of severe asthma. The data presented are convincing and the story is integrated. There are however several issues that need to be addressed.1. For bioinformatics analysis in Fig 1, the authors should show the heatmap of differential gene expression.2. In the analysis of co-localization in Fig 2 and 3, showing the merged image will be more convincing. In Fig 3B,the total PINK1 in control seems to be more than that in S-As. The authors should explain this result. Since the Pink/Parkin signal enhanced in S-As, is there a difference in the ubiquitination of mitochondrial proteins? If the ubiquitination of mitochondrial proteins enhances in S-As, Parkin, as an E3 ubiquitinligase, what is the target protein.3. In Fig 5,activation of AMPKa induced the upregulation of SIRT1 and PGC1a in S-As. The authors should inhibit AMPKα to assess the change of SIRT1, PGC1α and the apoptosis of fibroblast in S-As, thus providing more solid evidence to support their conclusion.4. In Fig 6, the authors suggest that the enhanced turnover of damaged mitochondria in S-As may contribute to fibrosis in severe asthma by promoting the persistence and pro-fibrotic phenotype of fibroblasts. The evidence is not sufficient. The author should show whether inhibitors of mitophage or the blocking of Pink/Parkin signaling affects these pro-fibrotic phenotype of fibroblasts.Reviewer #2: There was no other concerns about research ethics, publication ethics and others.**********6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.If you choose “no”, your identity will remain anonymous but your review may still be made public.Do you want your identity to be public for this peer review? 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Please note that Supporting Information files do not need this step.9 Sep 2020Editor:We would like to thank the Academic Editor and Editorial Office for their valuable comments and suggestions to help improve our manuscript. We hope we have addressed these concerns appropriately. Please find below our response to the queries.1. It is standard for RT-qPCR that at least two different reference genes are used. What precautions have been taken to ensure that 18sRNA is indeed a valid reference gene in this particular experimental setting?We agree that some studies use two or more housekeeping genes, however, in this case we wanted to select housekeeping genes that show minimum variation and also, have high expression across the samples. We tried different genes, including GAPDH, but they showed higher variation or naturally had low expression. Therefore, we stayed with 18s rRNA alone, based on the following criteria:1) 18S rRNA gave consistently low Ct values (in the range of 8.7-9 across the fibroblasts included in this study) with stable high expression.2) 18S rRNA had the least expression variability across samples.3) 18S is not involved in mitochondrial function and is therefore, a non-biased and reliable housekeeping gene in this study.Literature search also indicated a study comparing the various commonly used housekeeping genes, including ACTB, GAPDH, 18S rRNA, and mitochondrial genes, that identified 18S rRNA as the most stable reference gene to normalize qRT-PCR data in primary human bronchial epithelial cells (Kuchipudi SV et al, 2012).2. It is mentioned in figure legends that the fibroblasts were serum starved before incubated in the complete cell culture medium. The rationale for this approach should be clearly stated and the complete protocol for fibroblast cultivation should be described in Materials and methods.Thank you for this suggestion. Since we used primary fibroblasts in our study, we noticed differences in their growth pattern irrespective of their diseased state. For instance, the primary bronchial fibroblasts exhibited doubling times varying from 30-48 hours. Therefore, in order to provide a more reproducible experimental condition and synchronize the population of proliferating cells across all the fibroblast cell types included in this study, serum-starvation was done prior to all experiments. We have made the appropriate changes in line 125.3. The autophagic flux experiments in Fig. 1 are not convincing. Namely, the increase in SQSTM1/p62 protein levels in the absence of transcriptional upregulation actually supports the inhibition, rather than increase in autophagic flux. The results obtained with E64/pepstatin further add to the confusion, as they seem to reduce SQSTM1/p62 levels, which does not make sense if its proteolysis was efficiently blocked. Finally, the small increase in LC3-II levels in E64/pepstatin-incubated asthmatic fibroblast compared to untreated ones seems to correlate with the increased protein loading (as judging from actin levels), which is again incompatible with the increase in autophagic flux. The statistical analysis of the Fig. 2F should help in resolving these issues.In addition to the increased LC3BII levels and LC3B lipidation in S-As fibroblasts (Fig. 2C), the concomitant increase in p62 levels prompted us to investigate the lysosomal function to exclude the possibility of lysosomal defect. This has been discussed in line 304. The observation of increased LAMP2 mRNA and protein expression coupled with enhanced LysoTracker fluorescence suggested increased lysosomal activity and thus, ruling out the possibility of defective autophagy clearance. The increased p62 protein expression noted in S-As fibroblasts in comparison to control fibroblasts (Fig. 2C), however, aligns with some other studies where upregulation of p62 levels was observed with an increase in autophagy flux (Colosetti P et al, 2009;Toepfer N et al, 2011; Zheng Q et al, 2011). This could also perhaps be explained by the fact that p62 is not specific only to the autophagy pathway and hence, we looked at multiple autophagy and mitophagy markers in this study. We have added this to line 530.Further, we have also added the densitometric analysis of the blots in Fig. 2F to ascertain that the observed increase in LC3B, p62 and LAMP2 levels indicates increased autophagy flux in S-As fibroblasts.4. The phospho-AMPK/AMPK immunoblots should be shown.The immunoblots have been included in Fig. 5A.Thank you again for your comments and we hope that we have satisfactorily addressed your concerns in the revised manuscript.Reviewer 1:We would like to thank you for your comments and suggestions. Due to the current restrictions posed by the COVID-19, we have tried our best in performing the required experiments. We believe we have addressed your concerns appropriately.There are however several issues that need to be addressed.1. For bioinformatics analysis in Fig 1, the authors should show the heatmap of differential gene expression.Thank you for this suggestion. The heatmap has been added as Fig. 1A.2. In the analysis of co-localization in Fig 2 and 3, showing the merged image will be more convincing. In Fig 3B, the total PINK1 in control seems to be more than that in S-As. The authors should explain this result. Since the Pink/Parkin signal enhanced in S-As, is there a difference in the ubiquitination of mitochondrial proteins? If the ubiquitination of mitochondrial proteins enhances in S-As, Parkin, as an E3 ubiquitin ligase, what is the target protein.As requested, please find the merged images added to Figs. 2E, 3E and 3F.Diseases such as asthma, COPD and IPF are known to possess phenotypically different fibroblasts that are responsible for the loss of the typical airway architecture and known to impair airway function. Therefore, we would expect the kinetics and stability of PINK1 processing to vary between the control and S-As fibroblasts. We believe this expression pattern is due to this difference. However, the accumulation of full-length PINK1 is a sign of mitochondrial damage and this distinct pattern was noticed only in S-As fibroblasts. Further, the PINK1 blots were repeated multiple times to ensure the greater accumulation of full-length PINK1 in S-As fibroblasts in comparison to controls.PINK1 is known to phosphorylate Parkin activating its E3 ubiquitin ligase activity. The activated Parkin then poly-ubiquitylates mitochondrial substrates on the outer mitochondrial membrane (OMM), including mitofusin-1, -2, and VDAC1, thereby tagging the mitochondria for autophagic degradation (Gegg ME et al, 2010; Glauser S et al, 2011; Geisler S et al, 2010). Although we did not look at the ubiquitination status of these proteins per se, we investigated the expression of multiple adaptor proteins that serve as mitophagy receptors downstream of the ubiquitination to facilitate PINK1/Parkin-mediated mitophagy, including BNIP3L/Nix, BNIP3, p62, Optineurin and NDP52, which was found to be elevated in S-As fibroblasts in comparison to controls (Fig. 3C).3. In Fig 5, activation of AMPKa induced the upregulation of SIRT1 and PGC1a in S-As. The authors should inhibit AMPKα to assess the change of SIRT1, PGC1α and the apoptosis of fibroblast in S-As, thus providing more solid evidence to support their conclusion.The AMPK/Sirt1/PGC1α signaling axis is a well-known master regulator of metabolic/energetic homeostasis and is fine-tuned in response to different metabolic situations. We completely agree that the effects of AMPKα inhibition on SIRT1 and PGC1α signaling would provide us with more definitive answers, however, due to the current COVID-19 associated delays we were unable to perform this additional experiment. Nevertheless, we have discussed this more in line 592.4. In Fig 6, the authors suggest that the enhanced turnover of damaged mitochondria in S-As may contribute to fibrosis in severe asthma by promoting the persistence and pro-fibrotic phenotype of fibroblasts. The evidence is not sufficient. The author should show whether inhibitors of mitophagy/autophagy or the blocking of Pink/Parkin signaling affects these profibrotic phenotype of fibroblasts.Thank you for this recommendation. As suggested, we pharmacologically inhibited autophagy in these fibroblasts using the well-known inhibitor 3-MA and this inhibition was found to significantly downregulate the expression of ECM markers. This has been added to the Results section in line 497 and Fig. 6D, and appropriately discussed thereafter in line 560.Thank you again for your comments and we hope that we have satisfactorily addressed your concerns in the revised manuscript.Reviewer 2:I have reviewed your manuscript “Enhanced mitophagy in bronchial fibroblasts from severe asthmatic patients”. It is of interest, and I am able to consider it for publication in its current form. The authors report that in severe asthmatic fibroblasts, the differential expression of mitophagy genes, PINK1 and PRKN, were accompanied by the accumulation of PINK1, Parkin and other mitophagy proteins. Also, accumulation of endogenous LC3B-Ⅱ, p62 and PINK1 in severe asthmatic fibroblasts was observed. These fibroblasts displayed neither an apoptotic nor senescent phenotype but a profibrotic phenotype. Interestingly, whether these pro-fibrotic fibroblasts are able reverse to pre-epithelial mesenchymal transformation state by improving mitophagy flux. Study needs to clearly demonstrate the relationship between turnover of damaged mitochondria and epithelial mesenchymal transformation, which supports the hypothesis that a role for mitophagy can be attributed to bronchial remodeling in severe asthmatic patients.We would like to thank you for your comments and suggestions. Due to the current restrictions posed by the COVID-19, we have tried our best in performing some additional experiments. We hope we have addressed your concerns appropriately.We agree that you have put forward an interesting line of thought. While mitochondrial dysfunction has been implicated as an important driver of EMT in cancer (Guerra F et al, 2017), autophagy is emerging as an important player in EMT-associated airway remodeling in asthma (Liu T et al, 2017). Previous work by our group has reported neutrophil driven inflammation in severe asthmatic patients to induce EMT in healthy bronchial epithelial cells (Haddad A et al, 2019), suggesting increased EMT in severe asthmatics as well. Therefore, it would definitely be interesting to investigate in future studies the involvement of mitophagy in driving this process in severe asthma. Nevertheless, we performed additional experiments using autophagy inhibitor, 3-MA, which was found to effectively diminish ECM expression across both control and S-As fibroblasts (Fig. 6D), highlighting the pathological role of autophagy in promoting subepithelial fibrosis in S-As patients. This has been added to the Results section in line 497 and Fig. 6D, and appropriately discussed thereafter in line 560.Thank you again for your comments and we hope that we have satisfactorily addressed your concerns in the revised manuscript.Journal Requirements:When submitting your revision, we need you to address these additional requirements.1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found athttps://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdfandhttps://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdfThe manuscript has been adequately formatted.2. Thank you for including your ethics statement: "The primary bronchial fibroblasts used in our study were obtained from the Quebec Respiratory Health Research Network Tissue Bank (McGill University Health Centre/ Meakins-Christie Laboratories Tissue Bank, Montreal, Canada). The original study was approved by institutional review board (2017-2581) and the subjects had provided written informed consent."Please amend your current ethics statement to include the full name of the ethics committee/institutional review board(s) that approved your specific study.Once you have amended this/these statement(s) in the Methods section of the manuscript, please add the same text to the “Ethics Statement” field of the submission form (via “Edit Submission”).For additional information about PLOS ONE ethical requirements for human subjects research, please refer tohttp://journals.plos.org/plosone/s/submission-guidelines#loc-human-subjects-research.The ethics statement has been amended and included in the Methods section in line 118.3. Please provide the catalog numbers of the cell lines, dilutions of all antibodies, and information on secondary antibodies used in your study.The required information has been included.4. We noted in your submission details that a portion of your manuscript may have been presented or published elsewhere."This work was accepted as a poster presentation at the CHEST Congress 2019."Please clarify whether this [conference proceeding or publication] was peer-reviewed and formally published. If this work was previously peer-reviewed and published, in the cover letter please provide the reason that this work does not constitute dual publication and should be included in the current manuscript.The preliminary part of this study was accepted as an abstract for poster presentation at the CHEST Congress 2019. The work was, however, not peer-reviewed as the submission included an abstract alone. The abstract was published in the CHEST website and can be accessed using the below link:https://journal.chestnet.org/article/S0012-3692(19)30215-6/fulltextThe current submitted manuscript includes increased sample size and additional experiments was performed to develop a more detailed understanding of the role of mitophagy in S-As bronchial fibroblasts.5. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. 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It is “0000-0002-1107-190X”.Submitted filename: Response to Reviewers 2.docxClick here for additional data file.14 Oct 2020PONE-D-20-12146R1Enhanced mitophagy in bronchial fibroblasts from severe asthmatic patientsPLOS ONEDear Dr. Hamid,Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.==============================ACADEMIC EDITOR: While the study has been improved, the interpretation of p62 data needs additional attention. Namely, the unexpected finding that p62 levels were not increased in the presence of pepstatin/E64 could be explained by the relatively short incubation time (6 h). Also, the further increase in p62 levels in the presence of lysosomal proteolysis inhibitors indicates its transcriptional upregulation, which is consistent with its role in delivering autophagic cargo. The authors should briefly address these issues.==============================Please submit your revised manuscript by Nov 28 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.Please include the following items when submitting your revised manuscript:A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocolsWe look forward to receiving your revised manuscript.Kind regards,Vladimir TrajkovicAcademic EditorPLOS ONE[Note: HTML markup is below. Please do not edit.]Reviewers' comments:Reviewer's Responses to QuestionsComments to the Author1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.Reviewer #1: All comments have been addressed**********2. Is the manuscript technically sound, and do the data support the conclusions?The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.Reviewer #1: Yes**********3. Has the statistical analysis been performed appropriately and rigorously?Reviewer #1: Yes**********4. Have the authors made all data underlying the findings in their manuscript fully available?The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.Reviewer #1: Yes**********5. Is the manuscript presented in an intelligible fashion and written in standard English?PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.Reviewer #1: Yes**********6. Review Comments to the AuthorPlease use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)Reviewer #1: The manuscript by Rakhee et al. provides the key role of mitochondrial homeostasis in severe asthmatic fibroblasts. Enhanced mitophagy in bronchial fibroblasts from severe asthmatic patients stimulates the development of subepithelial fibrosis.The manuscript is novel, and the experimental approaches are adequate, and the results shown support the authors´main conclusion, which deserves publication in Plos ONE, thanks!**********7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.If you choose “no”, your identity will remain anonymous but your review may still be made public.Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.Reviewer #1: No[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.22 Oct 2020ACADEMIC EDITOR: While the study has been improved, the interpretation of p62 data needs additional attention. Namely, the unexpected finding that p62 levels were not increased in the presence of pepstatin/E64 could be explained by the relatively short incubation time (6 h). Also, the further increase in p62 levels in the presence of lysosomal proteolysis inhibitors indicates its transcriptional upregulation, which is consistent with its role in delivering autophagic cargo. The authors should briefly address these issues.We would like to thank the Academic Editor for his comments. We have addressed these points appropriately in lines 533 and 551.We would further like to thank both the reviewers for their guidance in improving our manuscript content and endorsing it for publication.Submitted filename: Response to Reviewers 3.docxClick here for additional data file.9 Nov 2020Enhanced mitophagy in bronchial fibroblasts from severe asthmatic patientsPONE-D-20-12146R2Dear Dr. Hamid,We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.An invoice for payment will follow shortly after the formal acceptance. 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For more information, please contact onepress@plos.org.Kind regards,Vladimir TrajkovicAcademic EditorPLOS ONEAdditional Editor Comments (optional):Reviewers' comments:17 Nov 2020PONE-D-20-12146R2Enhanced mitophagy in bronchial fibroblasts from severe asthmatic patientsDear Dr. Hamid:I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. 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Authors: Stefan W Ryter; Ivan O Rosas; Caroline A Owen; Fernando J Martinez; Mary E Choi; Chun Geun Lee; Jack A Elias; Augustine M K Choi Journal: Ann Am Thorac Soc Date: 2018-12
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Authors: A Panariti; C J Baglole; V Sanchez; D H Eidelman; S Hussain; R Olivenstein; J G Martin; Q Hamid Journal: Clin Exp Allergy Date: 2018-02-20 Impact factor: 5.018
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Jin Hyoung Kim; Kwang Woon Kim; Michael D Kim; Moon-Moo Kim; Peter K Kim; Seong Who Kim; Soo-Youl Kim; Yong-Sun Kim; Yonghyun Kim; Adi Kimchi; Alec C Kimmelman; Tomonori Kimura; Jason S King; Karla Kirkegaard; Vladimir Kirkin; Lorrie A Kirshenbaum; Shuji Kishi; Yasuo Kitajima; Katsuhiko Kitamoto; Yasushi Kitaoka; Kaio Kitazato; Rudolf A Kley; Walter T Klimecki; Michael Klinkenberg; Jochen Klucken; Helene Knævelsrud; Erwin Knecht; Laura Knuppertz; Jiunn-Liang Ko; Satoru Kobayashi; Jan C Koch; Christelle Koechlin-Ramonatxo; Ulrich Koenig; Young Ho Koh; Katja Köhler; Sepp D Kohlwein; Masato Koike; Masaaki Komatsu; Eiki Kominami; Dexin Kong; Hee Jeong Kong; Eumorphia G Konstantakou; Benjamin T Kopp; Tamas Korcsmaros; Laura Korhonen; Viktor I Korolchuk; Nadya V Koshkina; Yanjun Kou; Michael I Koukourakis; Constantinos Koumenis; Attila L Kovács; Tibor Kovács; Werner J Kovacs; Daisuke Koya; Claudine Kraft; Dimitri Krainc; Helmut Kramer; Tamara Kravic-Stevovic; Wilhelm Krek; Carole Kretz-Remy; Roswitha Krick; Malathi Krishnamurthy; Janos Kriston-Vizi; Guido Kroemer; Michael C Kruer; Rejko Kruger; Nicholas T Ktistakis; Kazuyuki Kuchitsu; Christian Kuhn; Addanki Pratap Kumar; Anuj Kumar; Ashok Kumar; Deepak Kumar; Dhiraj Kumar; Rakesh Kumar; Sharad Kumar; Mondira Kundu; Hsing-Jien Kung; Atsushi Kuno; Sheng-Han Kuo; Jeff Kuret; Tino Kurz; Terry Kwok; Taeg Kyu Kwon; Yong Tae Kwon; Irene Kyrmizi; Albert R La Spada; Frank Lafont; Tim Lahm; Aparna Lakkaraju; Truong Lam; Trond Lamark; Steve Lancel; Terry H Landowski; Darius J R Lane; Jon D Lane; Cinzia Lanzi; Pierre Lapaquette; Louis R Lapierre; Jocelyn Laporte; Johanna Laukkarinen; Gordon W Laurie; Sergio Lavandero; Lena Lavie; Matthew J LaVoie; Betty Yuen Kwan Law; Helen Ka-Wai Law; Kelsey B Law; Robert Layfield; Pedro A Lazo; Laurent Le Cam; Karine G Le Roch; Hervé Le Stunff; Vijittra Leardkamolkarn; Marc Lecuit; Byung-Hoon Lee; Che-Hsin Lee; Erinna F Lee; Gyun Min Lee; He-Jin Lee; Hsinyu Lee; Jae Keun Lee; Jongdae Lee; Ju-Hyun Lee; Jun Hee Lee; Michael Lee; Myung-Shik Lee; Patty J Lee; Sam W Lee; Seung-Jae Lee; Shiow-Ju Lee; Stella Y Lee; Sug Hyung Lee; Sung Sik Lee; Sung-Joon Lee; Sunhee Lee; Ying-Ray Lee; Yong J Lee; Young H Lee; Christiaan Leeuwenburgh; Sylvain Lefort; Renaud Legouis; Jinzhi Lei; Qun-Ying Lei; David A Leib; Gil Leibowitz; Istvan Lekli; Stéphane D Lemaire; John J Lemasters; Marius K Lemberg; Antoinette Lemoine; Shuilong Leng; Guido Lenz; Paola Lenzi; Lilach O Lerman; Daniele Lettieri Barbato; Julia I-Ju Leu; Hing Y Leung; Beth Levine; Patrick A Lewis; Frank Lezoualc'h; Chi Li; Faqiang Li; Feng-Jun Li; Jun Li; Ke Li; Lian Li; Min Li; Min Li; Qiang Li; Rui Li; Sheng Li; Wei Li; Wei Li; Xiaotao Li; Yumin Li; Jiqin Lian; Chengyu Liang; Qiangrong Liang; Yulin Liao; Joana Liberal; Pawel P Liberski; Pearl Lie; Andrew P Lieberman; Hyunjung Jade Lim; Kah-Leong Lim; Kyu Lim; Raquel T Lima; Chang-Shen Lin; Chiou-Feng Lin; Fang Lin; Fangming Lin; Fu-Cheng Lin; Kui Lin; Kwang-Huei Lin; Pei-Hui Lin; Tianwei Lin; Wan-Wan Lin; Yee-Shin Lin; Yong Lin; Rafael Linden; Dan Lindholm; Lisa M Lindqvist; Paul Lingor; Andreas Linkermann; Lance A Liotta; Marta M Lipinski; Vitor A Lira; Michael P Lisanti; Paloma B Liton; Bo Liu; Chong Liu; Chun-Feng Liu; Fei Liu; Hung-Jen Liu; Jianxun Liu; Jing-Jing Liu; Jing-Lan Liu; Ke Liu; Leyuan Liu; Liang Liu; Quentin Liu; Rong-Yu Liu; Shiming Liu; Shuwen Liu; Wei Liu; Xian-De Liu; Xiangguo Liu; Xiao-Hong Liu; Xinfeng Liu; Xu Liu; Xueqin Liu; Yang Liu; Yule Liu; Zexian Liu; Zhe Liu; Juan P Liuzzi; Gérard Lizard; Mila Ljujic; Irfan J Lodhi; Susan E Logue; Bal L Lokeshwar; Yun Chau Long; Sagar Lonial; Benjamin Loos; Carlos López-Otín; Cristina López-Vicario; Mar Lorente; Philip L Lorenzi; Péter Lõrincz; Marek Los; Michael T Lotze; Penny E Lovat; Binfeng Lu; Bo Lu; Jiahong Lu; Qing Lu; She-Min Lu; Shuyan Lu; Yingying Lu; Frédéric Luciano; Shirley Luckhart; John Milton Lucocq; Paula Ludovico; Aurelia Lugea; Nicholas W Lukacs; Julian J Lum; Anders H Lund; Honglin Luo; Jia Luo; Shouqing Luo; Claudio Luparello; Timothy Lyons; Jianjie Ma; Yi Ma; Yong Ma; Zhenyi Ma; Juliano Machado; Glaucia M Machado-Santelli; Fernando Macian; Gustavo C MacIntosh; Jeffrey P MacKeigan; Kay F Macleod; John D MacMicking; Lee Ann MacMillan-Crow; Frank Madeo; Muniswamy Madesh; Julio Madrigal-Matute; Akiko Maeda; Tatsuya Maeda; Gustavo Maegawa; Emilia Maellaro; Hannelore Maes; Marta Magariños; Kenneth Maiese; Tapas K Maiti; Luigi Maiuri; Maria Chiara Maiuri; Carl G Maki; Roland Malli; Walter Malorni; Alina Maloyan; Fathia Mami-Chouaib; Na Man; Joseph D Mancias; Eva-Maria Mandelkow; Michael A Mandell; Angelo A Manfredi; Serge N Manié; Claudia Manzoni; Kai Mao; Zixu Mao; Zong-Wan Mao; Philippe Marambaud; Anna Maria Marconi; Zvonimir Marelja; Gabriella Marfe; Marta Margeta; Eva Margittai; Muriel Mari; Francesca V Mariani; Concepcio Marin; Sara Marinelli; Guillermo Mariño; Ivanka Markovic; Rebecca Marquez; Alberto M Martelli; Sascha Martens; Katie R Martin; Seamus J Martin; Shaun Martin; Miguel A Martin-Acebes; Paloma Martín-Sanz; Camille Martinand-Mari; Wim Martinet; Jennifer Martinez; Nuria Martinez-Lopez; Ubaldo Martinez-Outschoorn; Moisés Martínez-Velázquez; Marta Martinez-Vicente; Waleska Kerllen Martins; Hirosato Mashima; James A Mastrianni; Giuseppe Matarese; Paola Matarrese; Roberto Mateo; Satoaki Matoba; Naomichi Matsumoto; Takehiko Matsushita; Akira Matsuura; Takeshi Matsuzawa; Mark P Mattson; Soledad Matus; Norma Maugeri; Caroline Mauvezin; Andreas Mayer; Dusica Maysinger; Guillermo D Mazzolini; Mary Kate McBrayer; Kimberly McCall; Craig McCormick; Gerald M McInerney; Skye C McIver; Sharon McKenna; John J McMahon; Iain A McNeish; Fatima Mechta-Grigoriou; Jan Paul Medema; Diego L Medina; Klara Megyeri; Maryam Mehrpour; Jawahar L Mehta; Yide Mei; Ute-Christiane Meier; Alfred J Meijer; Alicia Meléndez; Gerry Melino; Sonia Melino; Edesio Jose Tenorio de Melo; Maria A Mena; Marc D Meneghini; Javier A Menendez; Regina Menezes; Liesu Meng; Ling-Hua Meng; Songshu Meng; Rossella Menghini; A Sue Menko; Rubem Fs Menna-Barreto; Manoj B Menon; Marco A Meraz-Ríos; Giuseppe Merla; Luciano Merlini; Angelica M Merlot; Andreas Meryk; Stefania Meschini; Joel N Meyer; Man-Tian Mi; Chao-Yu Miao; Lucia Micale; Simon Michaeli; Carine Michiels; Anna Rita Migliaccio; Anastasia Susie Mihailidou; Dalibor Mijaljica; Katsuhiko Mikoshiba; Enrico Milan; Leonor Miller-Fleming; Gordon B Mills; Ian G Mills; Georgia Minakaki; Berge A Minassian; Xiu-Fen Ming; Farida Minibayeva; Elena A Minina; Justine D Mintern; Saverio Minucci; Antonio Miranda-Vizuete; Claire H Mitchell; Shigeki Miyamoto; Keisuke Miyazawa; Noboru Mizushima; Katarzyna Mnich; Baharia Mograbi; Simin Mohseni; Luis Ferreira Moita; Marco Molinari; Maurizio Molinari; Andreas Buch Møller; Bertrand Mollereau; Faustino Mollinedo; Marco Mongillo; Martha M Monick; Serena Montagnaro; Craig Montell; Darren J Moore; Michael N Moore; Rodrigo Mora-Rodriguez; Paula I Moreira; Etienne Morel; Maria Beatrice Morelli; Sandra Moreno; Michael J Morgan; Arnaud Moris; Yuji Moriyasu; Janna L Morrison; Lynda A Morrison; Eugenia Morselli; Jorge Moscat; Pope L Moseley; Serge Mostowy; Elisa Motori; Denis Mottet; Jeremy C Mottram; Charbel E-H Moussa; Vassiliki E Mpakou; Hasan Mukhtar; Jean M Mulcahy Levy; Sylviane Muller; Raquel Muñoz-Moreno; Cristina Muñoz-Pinedo; Christian Münz; Maureen E Murphy; James T Murray; Aditya Murthy; Indira U Mysorekar; Ivan R Nabi; Massimo Nabissi; Gustavo A Nader; Yukitoshi Nagahara; Yoshitaka Nagai; Kazuhiro Nagata; Anika Nagelkerke; Péter Nagy; Samisubbu R Naidu; Sreejayan Nair; Hiroyasu Nakano; Hitoshi Nakatogawa; Meera Nanjundan; Gennaro Napolitano; Naweed I Naqvi; Roberta Nardacci; Derek P Narendra; Masashi Narita; Anna Chiara Nascimbeni; Ramesh Natarajan; Luiz C Navegantes; Steffan T Nawrocki; Taras Y Nazarko; Volodymyr Y Nazarko; Thomas Neill; Luca M Neri; Mihai G Netea; Romana T Netea-Maier; Bruno M Neves; Paul A Ney; Ioannis P Nezis; Hang Tt Nguyen; Huu Phuc Nguyen; Anne-Sophie Nicot; Hilde Nilsen; Per Nilsson; Mikio Nishimura; Ichizo Nishino; Mireia Niso-Santano; Hua Niu; Ralph A Nixon; Vincent Co Njar; Takeshi Noda; Angelika A Noegel; Elsie Magdalena Nolte; Erik Norberg; Koenraad K Norga; Sakineh Kazemi Noureini; Shoji Notomi; Lucia Notterpek; Karin Nowikovsky; Nobuyuki Nukina; Thorsten Nürnberger; Valerie B O'Donnell; Tracey O'Donovan; Peter J O'Dwyer; Ina Oehme; Clara L Oeste; Michinaga Ogawa; Besim Ogretmen; Yuji Ogura; Young J Oh; Masaki Ohmuraya; Takayuki Ohshima; Rani Ojha; Koji Okamoto; Toshiro Okazaki; F Javier Oliver; Karin Ollinger; Stefan Olsson; Daniel P Orban; Paulina Ordonez; Idil Orhon; Laszlo Orosz; Eyleen J O'Rourke; Helena Orozco; Angel L Ortega; Elena Ortona; Laura D Osellame; Junko Oshima; Shigeru Oshima; Heinz D Osiewacz; Takanobu Otomo; Kinya Otsu; Jing-Hsiung James Ou; Tiago F Outeiro; Dong-Yun Ouyang; Hongjiao Ouyang; Michael Overholtzer; Michelle A Ozbun; P Hande Ozdinler; Bulent Ozpolat; Consiglia Pacelli; Paolo Paganetti; Guylène Page; Gilles Pages; Ugo Pagnini; Beata Pajak; Stephen C Pak; Karolina Pakos-Zebrucka; Nazzy Pakpour; Zdena Palková; Francesca Palladino; Kathrin Pallauf; Nicolas Pallet; Marta Palmieri; Søren R Paludan; Camilla Palumbo; Silvia Palumbo; Olatz Pampliega; Hongming Pan; Wei Pan; Theocharis Panaretakis; Aseem Pandey; Areti Pantazopoulou; Zuzana Papackova; Daniela L Papademetrio; Issidora Papassideri; Alessio Papini; Nirmala Parajuli; Julian Pardo; Vrajesh V Parekh; Giancarlo Parenti; Jong-In Park; Junsoo Park; Ohkmae K Park; Roy Parker; Rosanna Parlato; Jan B Parys; Katherine R Parzych; Jean-Max Pasquet; Benoit Pasquier; Kishore Bs Pasumarthi; Daniel Patschan; Cam Patterson; Sophie Pattingre; Scott Pattison; Arnim Pause; Hermann Pavenstädt; Flaminia Pavone; Zully Pedrozo; Fernando J Peña; Miguel A Peñalva; Mario Pende; Jianxin Peng; Fabio Penna; Josef M Penninger; Anna Pensalfini; Salvatore Pepe; Gustavo Js Pereira; Paulo C Pereira; Verónica Pérez-de la Cruz; María Esther Pérez-Pérez; Diego Pérez-Rodríguez; Dolores Pérez-Sala; Celine Perier; Andras Perl; David H Perlmutter; Ida Perrotta; Shazib Pervaiz; Maija Pesonen; Jeffrey E Pessin; Godefridus J Peters; Morten Petersen; Irina Petrache; Basil J Petrof; Goran Petrovski; James M Phang; Mauro Piacentini; Marina Pierdominici; Philippe Pierre; Valérie Pierrefite-Carle; Federico Pietrocola; Felipe X Pimentel-Muiños; Mario Pinar; Benjamin Pineda; Ronit Pinkas-Kramarski; Marcello Pinti; Paolo Pinton; Bilal Piperdi; James M Piret; Leonidas C Platanias; Harald W Platta; Edward D Plowey; Stefanie Pöggeler; Marc Poirot; Peter Polčic; Angelo Poletti; Audrey H Poon; Hana Popelka; Blagovesta Popova; Izabela Poprawa; Shibu M Poulose; Joanna Poulton; Scott K Powers; Ted Powers; Mercedes Pozuelo-Rubio; Krisna Prak; Reinhild Prange; Mark Prescott; Muriel Priault; Sharon Prince; Richard L Proia; Tassula Proikas-Cezanne; Holger Prokisch; Vasilis J Promponas; Karin Przyklenk; Rosa Puertollano; Subbiah Pugazhenthi; Luigi Puglielli; Aurora Pujol; Julien Puyal; Dohun Pyeon; Xin Qi; Wen-Bin Qian; Zheng-Hong Qin; Yu Qiu; Ziwei Qu; Joe Quadrilatero; Frederick Quinn; Nina Raben; Hannah Rabinowich; Flavia Radogna; Michael J Ragusa; Mohamed Rahmani; Komal Raina; Sasanka Ramanadham; Rajagopal Ramesh; Abdelhaq Rami; Sarron Randall-Demllo; Felix Randow; Hai Rao; V Ashutosh Rao; Blake B Rasmussen; Tobias M Rasse; Edward A Ratovitski; Pierre-Emmanuel Rautou; Swapan K Ray; Babak Razani; Bruce H Reed; Fulvio Reggiori; Markus Rehm; Andreas S Reichert; Theo Rein; David J Reiner; Eric Reits; Jun Ren; Xingcong Ren; Maurizio Renna; Jane Eb Reusch; Jose L Revuelta; Leticia Reyes; Alireza R Rezaie; Robert I Richards; Des R Richardson; Clémence Richetta; Michael A Riehle; Bertrand H Rihn; Yasuko Rikihisa; Brigit E Riley; Gerald Rimbach; Maria Rita Rippo; Konstantinos Ritis; Federica Rizzi; Elizete Rizzo; Peter J Roach; Jeffrey Robbins; Michel Roberge; Gabriela Roca; Maria Carmela Roccheri; Sonia Rocha; Cecilia Mp Rodrigues; Clara I Rodríguez; Santiago Rodriguez de Cordoba; Natalia Rodriguez-Muela; Jeroen Roelofs; Vladimir V Rogov; Troy T Rohn; Bärbel Rohrer; Davide Romanelli; Luigina Romani; Patricia Silvia Romano; M Isabel G Roncero; Jose Luis Rosa; Alicia Rosello; Kirill V Rosen; Philip Rosenstiel; Magdalena Rost-Roszkowska; Kevin A Roth; Gael Roué; Mustapha Rouis; Kasper M Rouschop; Daniel T Ruan; Diego Ruano; David C Rubinsztein; Edmund B Rucker; Assaf Rudich; Emil Rudolf; Ruediger Rudolf; Markus A Ruegg; Carmen Ruiz-Roldan; Avnika Ashok Ruparelia; Paola Rusmini; David W Russ; Gian Luigi Russo; Giuseppe Russo; Rossella Russo; Tor Erik Rusten; Victoria Ryabovol; Kevin M Ryan; Stefan W Ryter; David M Sabatini; Michael Sacher; Carsten Sachse; Michael N Sack; Junichi Sadoshima; Paul Saftig; Ronit Sagi-Eisenberg; Sumit Sahni; Pothana Saikumar; Tsunenori Saito; Tatsuya Saitoh; Koichi Sakakura; Machiko Sakoh-Nakatogawa; Yasuhito Sakuraba; María Salazar-Roa; Paolo Salomoni; Ashok K Saluja; Paul M Salvaterra; Rosa Salvioli; Afshin Samali; Anthony Mj Sanchez; José A Sánchez-Alcázar; Ricardo Sanchez-Prieto; Marco Sandri; Miguel A Sanjuan; Stefano Santaguida; Laura Santambrogio; Giorgio Santoni; Claudia Nunes Dos Santos; Shweta Saran; Marco Sardiello; Graeme Sargent; Pallabi Sarkar; Sovan Sarkar; Maria Rosa Sarrias; Minnie M Sarwal; Chihiro Sasakawa; Motoko Sasaki; Miklos Sass; Ken Sato; Miyuki Sato; Joseph Satriano; Niramol Savaraj; Svetlana Saveljeva; Liliana Schaefer; Ulrich E Schaible; Michael Scharl; Hermann M Schatzl; Randy Schekman; Wiep Scheper; Alfonso Schiavi; Hyman M Schipper; Hana Schmeisser; Jens Schmidt; Ingo Schmitz; Bianca E Schneider; E Marion Schneider; Jaime L Schneider; Eric A Schon; Miriam J Schönenberger; Axel H Schönthal; Daniel F Schorderet; Bernd Schröder; Sebastian Schuck; Ryan J Schulze; Melanie Schwarten; Thomas L Schwarz; Sebastiano Sciarretta; Kathleen Scotto; A Ivana Scovassi; Robert A Screaton; Mark Screen; Hugo Seca; Simon Sedej; Laura Segatori; Nava Segev; Per O Seglen; Jose M Seguí-Simarro; Juan Segura-Aguilar; Ekihiro Seki; Christian Sell; Iban Seiliez; Clay F Semenkovich; Gregg L Semenza; Utpal Sen; Andreas L Serra; Ana Serrano-Puebla; Hiromi Sesaki; Takao Setoguchi; Carmine Settembre; John J Shacka; Ayesha N Shajahan-Haq; Irving M Shapiro; Shweta Sharma; Hua She; C-K James Shen; Chiung-Chyi Shen; Han-Ming Shen; Sanbing Shen; Weili Shen; Rui Sheng; Xianyong Sheng; Zu-Hang Sheng; Trevor G Shepherd; Junyan Shi; Qiang Shi; Qinghua Shi; Yuguang Shi; Shusaku Shibutani; Kenichi Shibuya; Yoshihiro Shidoji; Jeng-Jer Shieh; Chwen-Ming Shih; Yohta Shimada; Shigeomi Shimizu; Dong Wook Shin; Mari L Shinohara; Michiko Shintani; Takahiro Shintani; Tetsuo Shioi; Ken Shirabe; Ronit Shiri-Sverdlov; Orian Shirihai; Gordon C Shore; Chih-Wen Shu; Deepak Shukla; Andriy A Sibirny; Valentina Sica; Christina J Sigurdson; Einar M Sigurdsson; Puran Singh Sijwali; Beata Sikorska; Wilian A Silveira; Sandrine Silvente-Poirot; Gary A Silverman; Jan Simak; Thomas Simmet; Anna Katharina Simon; Hans-Uwe Simon; Cristiano Simone; Matias Simons; Anne Simonsen; Rajat Singh; 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Keiji Tanaka; Masaki Tanaka; Daolin Tang; Dingzhong Tang; Guomei Tang; Isei Tanida; Kunikazu Tanji; Bakhos A Tannous; Jose A Tapia; Inmaculada Tasset-Cuevas; Marc Tatar; Iman Tavassoly; Nektarios Tavernarakis; Allen Taylor; Graham S Taylor; Gregory A Taylor; J Paul Taylor; Mark J Taylor; Elena V Tchetina; Andrew R Tee; Fatima Teixeira-Clerc; Sucheta Telang; Tewin Tencomnao; Ba-Bie Teng; Ru-Jeng Teng; Faraj Terro; Gianluca Tettamanti; Arianne L Theiss; Anne E Theron; Kelly Jean Thomas; Marcos P Thomé; Paul G Thomes; Andrew Thorburn; Jeremy Thorner; Thomas Thum; Michael Thumm; Teresa Lm Thurston; Ling Tian; Andreas Till; Jenny Pan-Yun Ting; Vladimir I Titorenko; Lilach Toker; Stefano Toldo; Sharon A Tooze; Ivan Topisirovic; Maria Lyngaas Torgersen; Liliana Torosantucci; Alicia Torriglia; Maria Rosaria Torrisi; Cathy Tournier; Roberto Towns; Vladimir Trajkovic; Leonardo H Travassos; Gemma Triola; Durga Nand Tripathi; Daniela Trisciuoglio; Rodrigo Troncoso; Ioannis P Trougakos; Anita C Truttmann; Kuen-Jer Tsai; Mario P Tschan; Yi-Hsin Tseng; Takayuki Tsukuba; Allan Tsung; Andrey S Tsvetkov; Shuiping Tu; Hsing-Yu Tuan; Marco Tucci; David A Tumbarello; Boris Turk; Vito Turk; Robin Fb Turner; Anders A Tveita; Suresh C Tyagi; Makoto Ubukata; Yasuo Uchiyama; Andrej Udelnow; Takashi Ueno; Midori Umekawa; Rika Umemiya-Shirafuji; Benjamin R Underwood; Christian Ungermann; Rodrigo P Ureshino; Ryo Ushioda; Vladimir N Uversky; Néstor L Uzcátegui; Thomas Vaccari; Maria I Vaccaro; Libuše Váchová; Helin Vakifahmetoglu-Norberg; Rut Valdor; Enza Maria Valente; Francois Vallette; Angela M Valverde; Greet Van den Berghe; Ludo Van Den Bosch; Gijs R van den Brink; F Gisou van der Goot; Ida J van der Klei; Luc Jw van der Laan; Wouter G van Doorn; Marjolein van Egmond; Kenneth L van Golen; Luc Van Kaer; Menno van Lookeren Campagne; Peter Vandenabeele; Wim Vandenberghe; Ilse Vanhorebeek; Isabel Varela-Nieto; M Helena Vasconcelos; Radovan Vasko; Demetrios G Vavvas; Ignacio Vega-Naredo; Guillermo Velasco; 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Authors: Mahmood Yaseen Hachim; Noha Mousaad Elemam; Rakhee K Ramakrishnan; Khuloud Bajbouj; Ronald Olivenstein; Ibrahim Yaseen Hachim; Saba Al Heialy; Qutayba Hamid; Hauke Busch; Rifat Hamoudi Journal: Front Cell Dev Biol Date: 2021-03-15
Authors: Seung Han Baek; Dinah Foer; Katherine N Cahill; Elliot Israel; Enrico Maiorino; Annika Röhl; Joshua A Boyce; Scott T Weiss Journal: J Pers Med Date: 2021-03-25