Literature DB >> 33115945

PD-1 inhibitor inducing exosomal miR-34a-5p expression mediates the cross talk between cardiomyocyte and macrophage in immune checkpoint inhibitor-related cardiac dysfunction.

Wenzheng Xia1,2, Hanbin Chen3, Didi Chen3, Congying Xie4, Meng Hou4, Yijia Ye3.   

Abstract

BACKGROUND: Immune checkpoint inhibitors (ICIs) have been an important therapeutic advancement in the field of cancer medicine. Recent reports provided greater insights into the cardiovascular adverse events, which prohibited the use of ICIs. Cardiovascular adverse events occur in different forms, such as myocarditis and cardiomyopathy, myocardial fibrosis, heart failure and pericardial disease. Cardiac aging overlapped with the occurrence of some cardiac diseases. Exosomes mediate cell-cell cross talk in cardiac diseases by transferring a variety of biomolecules, including microRNAs (miRs). miR-34a-5p is a well-known miR associated with the cardiac senescence. This study aimed to investigate whether cardiovascular adverse effects of the programmed cell death 1 (PD-1) inhibitor, a widely used ICI, were related to exosomal-transferred miR-34a-5p in cardiac senescence in a mouse model. METHODS AND
RESULTS: The upregulation of miR-34a-5p in cardiomyocytes induced by exosomes derived from PD-1 inhibitor-treated macrophages, accompanied by cardiac senescence, caused cardiac injury in mouse hearts. miR-34a-5p was identified as an exosomal transfer RNA to induce cardiac senescence-related injury. Inhibiting miR-34a-5p in macrophages attenuated the exosomePD-1 inhibitor-induced pro-senescent effect in cardiomyocytes. TargetScan and luciferase assay showed that miR-34a-5p targeted the serine/threonine-protein phosphatase 1 regulatory subunit 10 (PNUTS) 3'-untranslated region.
CONCLUSIONS: Exosomes derived from PD-1 inhibitor-treated macrophages exerted a pro-senescent effect by modulating the miR-34a-5p/PNUTS signaling pathway. The findings might supply new targets to ameliorate cardiac injury in patients with cancer receiving PD-1 inhibitor treatment. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  cellular; cytotoxicity; immunity; immunologic; immunotherapy; macrophages

Year:  2020        PMID: 33115945      PMCID: PMC7594538          DOI: 10.1136/jitc-2020-001293

Source DB:  PubMed          Journal:  J Immunother Cancer        ISSN: 2051-1426            Impact factor:   13.751


Introduction

Immune checkpoint inhibitors (ICIs) stand out as a significant advancement in the treatment of patients with cancer.1 These therapies are approved for a large variety of cancers in metastatic and late stages, and more recently in the adjuvant setting.2 They work by modulating immune-related cells.3 During approval, the activation of the immune system resulted in immune-related adverse effects (irAEs).4 Cardiac adverse events are likely one of the most uncommon irAEs, but with high fatality.5 The reporting of ICI-related cardiac adverse events has increased.6 However, the understanding of ICI-related cardiac adverse events is limited and needs to be improved as ICIs are being tested broadly in additional adjuvant settings and in combination with targeted and traditional cytotoxic therapies.1 Aging is the major risk factor for the decline in cardiovascular physiological functions and the development of cardiovascular diseases.7 Scientists have realized in the last few decades that the immune system contributes to cardiac senescence.8 Immune cells infiltrate the heart at gestation and remain in the myocardium, where they participate in essential functions throughout life.9 Under some circumstances, immune cells can cause irreversible damage, contributing to age-related heart failure.10 Among different kinds of immune cells, macrophages stand out for multiple mechanisms modulating the senescence process.11 Resident macrophages are also joined by recruited cells, which are produced in greater numbers during the senescence process and development of heart failure.12 A previous study revealed that macrophage infiltration in the myocardium is typically observed in ICI-associated cardiac injury.13 This study aimed to explore whether cardiac macrophage–induced cardiac senescence takes effect in the ICI-related cardiac injury. Exosomes are cell-derived vesicles, which contain proteins, lipids, growth factors, microRNAs (miRNAs), and proinflammatory cytokines released through exocytosis.14 The recent literature suggests that condition-modified exosomes induce cardiac injury.15 Macrophage-derived exosomes in patients with diabetes showed proinflammation function, leading to cardiac fibrosis.16 Meanwhile, exosomes derived from modified macrophages showed a pro-DNA damaging effect, thus leading to senescence.17 However, whether macrophage-derived exosomes also play a role in cardiac senescence in the ICI-induced cardiotoxicity remains to be established. The transcription of the miR-34 family of microRNAs is activated in cardiac injury.18 In cell-based studies, miR-34a is found to promote cardiac senescence.19 Extracellular vehicles (EVs) can transfer microRNA between cells.20 Recent findings have also suggested that EVs and microRNAs are involved in the communication between macrophages and resident cells, causing resident cell damage.21 Therefore, this study investigated the role of miR-34a-5p, macrophages, and PD-1 inhibitor, and explored whether exosomes could indeed transfer miR-34a-5p from macrophages to resident cardiomyocytes, thus causing cardiac cellular senescence.

Materials and methods

Animals

Eight-week-old male C57/Bl6 mice were maintained in accordance with the guidelines published by the US National Institutes of Health (NIH). This study was conducted in compliance with the Guide for the Care and Use of Laboratory Animals published by the National Academy Press (NIH, revised in 1996). During the animal experiment, the investigator was blinded to the group allocation.

Treatment using a PD-1 inhibitor in vivo

Eight-week-old male C57/Bl6 mice were treated with an InVivoPlus anti-mouse PD-1 inhibitor (Bioxcell, West Lebanon, USA), at a concentration of 5 mg/kg, intraperitoneally, on days 1 and 14 (cycle: 28 days). After the experiments, mice were sacrificed by CO2 inhalation.

Echocardiographic evaluation

For echocardiography, 28 days after the first treatment of PD-1 inhibitor, mice were anesthetized with 1.5%–2% isoflurane and kept warm on a heated platform. During echo process, the vital signs were monitored. Vevo 2100 was applied to observe the echocardiographic parameters in mice to assess the cardiac functions (Vevo 2100, Visual Sonics, Canada). Short axis was applied to measure left ventricular internal diameter; diastole (LVID;d), left ventricular internal diameter; systole (LVID;s), left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV). The values of ejection fraction (EF) and fractional shortening (FS) were calculated.

Quantitative reverse transcription–PCR (qRT-PCR)

RNA was isolated using TRIzol reagent (Invitrogen, Carlsbad, USA), and cDNA was synthesized using an Improm II reverse transcription kit (Promega, Wisconsin, USA). qRT-PCR was performed with SYBR Green to detect mRNA levels. The mRNA levels were calculated relative to the control Gapdh (for mRNA) or U6 (for miRNA) using the 2-ΔΔCq method. The primers for target genes are listed in table 1.
Table 1

Primer sequences

GenesSequences
p16F: 5′-TTG GCC CAA GAG CGG GGA CA-3′
R: 5′-GCG GGC TGA GGC CGG ATT TA-3′
p21F: 5′-TCCACAGCGATATCCAGACA-3′
R: 5′-GGACATCACAGGATTGGAC-3′
PNUTSF: 5′-AGGTACTATCGCCGACTGCT-3′
R: 5′-GGGCGGTCCGTGTCCATGGG-3′
miR-34a-5pF: 5′-GGCCAGCTGTGAGTGTTTCTTTGG-3′
R: 5′-CTCGCTTCATCTTCCCTCTTGGG-3′
telomere lengthF: 5′-TGA AAG TAG AGG ATT GCC ACT G-3′
R: 5′-AGC CAG AAC AGG AAC GTA GC-3′
GAPDHF: 5′-GGA GCC AAA AGG GTC ATC AT-3′
R: 5′-GTG ATG GCA TGG ACT GTG GT-3′
U6F: 5′-CTCGCTTCGGCAGCACA-3′
R: 5′-AACGCTTCACGAATTTGCGT-3′
Primer sequences

Immunofluorescence staining

Deparaffinized tissue sections were stained with antibodies for sarcomeric-α-actin (SAA; 1:30, Abcam, ab9465). Thereafter, the p16INK4a was used to detect cellular senescence (1:50; Abcam, ab211542). Blocked using 10% goat serum, the sections were incubated with the antibody overnight at 4°C. Following primary incubation, the slides were incubated with Alexa Fluor 488 (1:50; Invitrogen, Cat No A32731) or Alexa Fluor 594 (1:50; Invitrogen, Cat No A32744) for 1 hour at room temperature. The sections were counterstained with 4,6-diamino-2-phenyl indole (DAPI). Fluorescence was detected under a microscope.

Cardiomyocyte isolation and culture

Mouse ventricular myocytes were isolated from C57BL/6 mice. The animals were euthanized by cervical dislocation. A digestion solution containing 0.25% trypsin and collagenase I was applied to digest heart. After 3 hours of differential sedimentation and adhesion, the myocytes were separated. They were then cultured in low-glucose Dulbecco’s modified Eagle’s medium containing 10% fetal bovine serum (FBS).

Senescence-associated β-galactosidase assay

The senescence-associated β-galactosidase (SA-β-gal) assay (Cell Signaling Technology, Massachusetts, USA) was applied to assess cellular senescence. Briefly, the cells at the density of 2×104 were fixed with 2% paraformaldehyde and incubated with SA-β-gal staining solution as previously reported.22

Western blot analysis

Western blot analysis was conducted as previously described.23 Primary antibodies, including Flotillin-1 (ab41927), Tsg101 (ab125011), CD63 (ab217345), p21 (ab188224), p16INK4a (ab211542), and β-actin (ab179467) were purchased from Abcam. PNUTS (14171) was purchased from Cell Signaling Technology.

Antagomir studies

Chemically modified antisense oligonucleotides were designed to target miR-34a-5p. Eight-week-old C57/Bl6 mice were subjected to sham or PD-1 inhibitor treatment. Then, the mice were injected (intraperitoneally) with antagomir-34a-5p (80 mg/kg) or control antagomir (80 mg/kg) for three consecutive days as previously reported.24

Cell culture and cell treatment

HL-1 murine cardiomyocytes were maintained in fibronectin-coated flasks, supplemented with 10% FBS, 100 U/mL penicillin, 100 mg/mL streptomycin, and 2 mM L-glutamine. The cell culture was exposed to 5 µg/mL of the treatment solution for short durations.25

Cell proliferation assay

The rate of cell proliferation was assessed using the cell counting kit-8 (CCK-8) assay, performed following the manufacturer’s protocol. Briefly, the cells grown in a 96-well plate were incubated with the CCK-8 solution for 1 hour at 37°C, and the absorbance of each well at 450 nm was recorded.

Cell cycle assay

Cold anhydrous ethanol (70%) fixed cells were treated with propidium iodide (PI) (Sigma, St. Louis, Missouri, USA) and RNase A. A flow cytometer equipped with Cell Quest software was used to detect the cell cycle distribution.

Flow cytometric analysis of cell apoptosis

Cellular apoptosis was detected using an Annexin V fluorescein isothiocyanate (FITC) and PI kit. Briefly, washed cells were resuspended in Annexin V binding buffer, then stained with Annexin V and PI at room temperature and then analyzed by bivariate flow cytometry using a BD FACS Canto II equipped with BD FACSDiva Software (Becton-Dickinson, San Jose, California, USA).

Isolation of cardiac macrophages

Cardiac macrophages were isolated as previously described.26 Briefly, the excised hearts were washed with warmed Hanks’ balanced salt solution. Then the hearts were placed in warm digestion buffer containing Liberase TH (5 mg/mL, Roche) and DNase1 (2000 units, Sigma) for 5 min, triturated with a pipette, and passed through a 40 µm filter. To isolate macrophages, the centrifuged cells were incubated with 50 µL of anti-CD45 magnetic beads for 30 min. The cells were then allowed to flow through the MACS magnetic column with a magnet in place.

Isolation and characterization of exosomes

The exosomes were isolated and purified from the supernatants of normal macrophages and 5 µg/mL PD-1 inhibitor–treated macrophages. Briefly, the supernatants were collected after 48 hours culture. The exosome quick extraction solution was added to the filtered solution at a 1:5 ratio and stored at 4°C for at least 12 hours. The morphology of exosomes was observed by transmission electron microscopy (TEM, JEM-1400plus). The size and concentration were determined by nanoparticle tracking analysis (NTA). Western blot analysis was used for detecting exosomal markers Flotillin-1, Tsg101, and CD63. At meanwhile, β-actin in the whole-cell lysate was used as control.

miR-34a-5p inhibition in vitro

Macrophages were seeded into six-well plates at a density of 1×105 cells per well. To induce the inhibition of miR-34a-5p, the cells were transfected with an miR-34a-5p inhibitor or a negative control (NC) inhibitor (pre-miR miRNA Precursors, Life Technologies, Karlsruhe, Germany) using X-treme transfection reagent (Roche Applied Science, Penzberg, Germany). The cells were harvested for further analysis 48 hours after transfection, and qRT-PCR was applied to quantify the transfection efficiency.

Relative telomere length measurement

Relative telomere length quantification in cardiomyocytes was performed using the PCR approach based on a previously established method,27 using Gapdh as the normalizing gene. The primer pairs used to detect the telomere length are listed in table 1.

Relative telomerase activity measurement

The telomerase activity of cardiomyocytes was examined using a Telo TAGGG Telomerase PCR ELISA Plus kit according to the manufacturer’s protocols as described previously.28

Luciferase reporter assay

The 3′-UTRs of PNUTS were synthesized, annealed, and inserted into the SacI and HindIII sites of the pmiR-reporter luciferase vector (Ambion), downstream of the luciferase stop codon to induce the mutagenesis of PNUTS. The cardiomyocytes were seeded into a 24-well plate for luciferase assay. After overnight culture, the cells were co-transfected with a wild-type (WT) or mutated plasmid and equal amounts of miR-34a-5p mimic or miR-NC mimic. Luciferase assays were performed using a dual-luciferase reporter assay system (Promega) 24 hours after transfection.

Transient transfection

For the overexpression of PNUTS, the cardiomyocytes were transduced with adenoviral PNUTS (Ad-PNUTS) or adenoviral control (Ad-Ctrl) as described previously.29 The transfection efficiency was confirmed by qRT-PCR and western blot analysis.

Statistical analysis

Data were expressed as mean±SD. Statistical significance of differences among groups was tested by one-way analysis of variance (ANOVA) or repeated measures ANOVA. Comparisons between two groups were done using Student’s t-test or paired t-test. A value of p<0.05 was considered statistically significant.

Results

PD-1 inhibitor–induced cardiac injury increased with heart senescence

Whether a PD-1 inhibitor impaired heart function by increasing heart senescence was investigated in a murine model. Echocardiography showed a significant decrease in left ventricular EF and FS in the PD-1 inhibitor group compared with the sham group (figure 1A–C). However, neither the ratio of heart weight to body weight nor the lung weight to body weight showed significant difference between control and PD-1 inhibitor treatment group (figure 1D, E).
Figure 1

PD-1 inhibitor–induced cardiac injury increased with heart senescence. (A) Representative images of echocardiography exhibiting changes in cardiac function in each group. Echocardiographic analysis of ejection fraction (EF) (B) and fractional shortening (FS) (C) in week 4 after the first cycle of PD-1 inhibitor treatment or control operation. (D) Ratio of heart weight to body weight. (E) Ratio of lung weight to body weight. (F) Immunofluorescence detected p16INK4a (green) and SAA (red) double-positive cells located in mouse hearts. Scale bar: 100 µm. (G) Cardiomyocytes were isolated from control and PD-1 inhibitor–treated mice. (H) Representative images of senescence-associated β-galactosidase (SA-β-gal) staining. Scale bar: 20 µm. (I) Percentage of β-gal-positive cells. (J, K) p21 and p16 mRNA levels were analyzed using quantitative reverse transcription-PCR. (L–O) p21 and p16 protein levels were analyzed using western blot analysis. *p<0.05 vs control in Student’s t-test, n=6. DAPI, 4,6-diamino-2-phenyl indole; PD-1, programmed cell death 1.

PD-1 inhibitor–induced cardiac injury increased with heart senescence. (A) Representative images of echocardiography exhibiting changes in cardiac function in each group. Echocardiographic analysis of ejection fraction (EF) (B) and fractional shortening (FS) (C) in week 4 after the first cycle of PD-1 inhibitor treatment or control operation. (D) Ratio of heart weight to body weight. (E) Ratio of lung weight to body weight. (F) Immunofluorescence detected p16INK4a (green) and SAA (red) double-positive cells located in mouse hearts. Scale bar: 100 µm. (G) Cardiomyocytes were isolated from control and PD-1 inhibitor–treated mice. (H) Representative images of senescence-associated β-galactosidase (SA-β-gal) staining. Scale bar: 20 µm. (I) Percentage of β-gal-positive cells. (J, K) p21 and p16 mRNA levels were analyzed using quantitative reverse transcription-PCR. (L–O) p21 and p16 protein levels were analyzed using western blot analysis. *p<0.05 vs control in Student’s t-test, n=6. DAPI, 4,6-diamino-2-phenyl indole; PD-1, programmed cell death 1. Immunostaining was conducted to verify whether organ senescence involved cellular senescence of all cell types or a specific cell type. More p16INK4a-positive cells were located on cardiomyocytes, which were also positive for cardiomyocyte marker SAA in the PD-1 inhibitor–treated mice (figure 1F). Cardiomyocytes were isolated from control and PD-1 inhibitor–treated mice (figure 1G). SA-β-gal staining revealed more positive cells in PD-1 inhibitor–treated mouse hearts compared with control mouse hearts (figure 1H, I). qRT-PCR and Western blot analysis confirmed increased expression levels of senescence-related genes p21 and p16 in PD-1 inhibitor–treated cardiomyocytes compared with controls (figure 1J–O).

miR-34a-5p dynamically modulated PD-1 inhibitor–related cardiac senescence

Cardiomyocytes were isolated for the characterization of senescence (figure 2A). Microarray analysis was performed between cardiomyocytes isolated from the control mice and PD-1 inhibitor–treated mice (figure 2B). As shown in figure 2B, miR-34a-5p in heart treated with a PD-1 inhibitor was probably responsible for cardiac injury and cardiac senescence. QRT-PCR further confirmed that miR-34a-5p was more abundant in cardiomyocytes and macrophages isolated from PD-1 inhibitor–treated mouse hearts (figure 2C, D). Meanwhile, miR-34a-5p mRNA levels in the heart tissue from PD-1 inhibitor–treated mice increased in a time-dependent manner (figure 2E). MiR-34a-5p inhibitor transfection was performed in vivo to evaluate whether miR-34a-5p inhibition treatment influenced PD-1 inhibitor–modulated cardiac senescence and cardiac function (figure 2F). Echocardiography data revealed that PD-1 inhibitor–treated mice had significant impairment in cardiac function compared with control mice. However, mice treated with PD-1 inhibitor+miR-34a-5p inhibitor showed recovery in cardiac function (figure 3A–C). Meanwhile, more SA-β-gal-positive cardiomyocytes were found in PD-1 inhibitor–treated mice compared with control mice. However, the miR-34a-5p inhibitor impaired the increase in positive cells (figure 3D, E). As shown in figure 3F, G, the expression levels of senescence-related genes p21 and p16 increased in PD-1 inhibitor–treated mouse cardiomyocytes compared with control mouse cardiomyocytes. However, the expression of senescence-related genes p21 and p16 decreased in the PD-1 inhibitor+miR-34a-5p inhibitor group compared with the PD-1 inhibitor group, but no change was observed in the PD-1 inhibitor+miR NC inhibitor group.
Figure 2

miR-34a-5p was profoundly induced by a PD-1 inhibitor. (A) Cardiomyocytes were isolated from control and PD-1 inhibitor–treated mice. (B) Heat map of microRNAs (miRs) differentially expressed between cardiomyocytes isolated from PD-1 inhibitor–treated mice and control mice. (C–E) MiR-34a-5p expression was validated using quantitative reverse transcription-PCR (qRT-PCR) in isolated cardiomyocytes, macrophages and cardiac tissues from PD-1 inhibitor–treated mice and control mice. *p<0.05 vs control in Student’s t-test, n=6. Mouse hearts were locally transfected with an inhibitor control (miR-NC inhibitor) or miR-34a-5p inhibitor. Untreated mice were used as control. (F) Transfection efficiency was analyzed using qRT-PCR. *p<0.05 vs miR-34a-5p inhibitor in one-way analysis of variance, n=6. NC, negative control; PD-1, programmed cell death 1.

Figure 3

miR-34a-5p dynamically modulated PD-1 inhibitor–related cardiac senescence. Mouse hearts were locally transfected with miR-NC inhibitor or miR-34a-5p inhibitor. The mice were treated with a PD-1 inhibitor. Untreated mice were used as control. (A) Representative images of echocardiography exhibiting changes in cardiac function in each group. Echocardiographic analysis of EF (B) and FS (C) in week 4 after treatment. (D) Representative images of senescence-associated β-galactosidase (SA-β-gal) staining. Scale bar: 20 µm. (E) Percentage of β-galactosidase (β-gal)-positive cells. (F, G) p21 and p16 mRNA levels were analyzed using quantitative reverse transcription-PCR. *p<0.05 vs control; ▲p<0.05 vs PD-1 inhibitor; ○p<0.05 vs PD-1 inhibitor+miR NC inhibitor in one-way analysis of variance, n=6. miR, NC, negative control; microRNA; PD-1, programmed cell death 1

miR-34a-5p was profoundly induced by a PD-1 inhibitor. (A) Cardiomyocytes were isolated from control and PD-1 inhibitor–treated mice. (B) Heat map of microRNAs (miRs) differentially expressed between cardiomyocytes isolated from PD-1 inhibitor–treated mice and control mice. (C–E) MiR-34a-5p expression was validated using quantitative reverse transcription-PCR (qRT-PCR) in isolated cardiomyocytes, macrophages and cardiac tissues from PD-1 inhibitor–treated mice and control mice. *p<0.05 vs control in Student’s t-test, n=6. Mouse hearts were locally transfected with an inhibitor control (miR-NC inhibitor) or miR-34a-5p inhibitor. Untreated mice were used as control. (F) Transfection efficiency was analyzed using qRT-PCR. *p<0.05 vs miR-34a-5p inhibitor in one-way analysis of variance, n=6. NC, negative control; PD-1, programmed cell death 1. miR-34a-5p dynamically modulated PD-1 inhibitor–related cardiac senescence. Mouse hearts were locally transfected with miR-NC inhibitor or miR-34a-5p inhibitor. The mice were treated with a PD-1 inhibitor. Untreated mice were used as control. (A) Representative images of echocardiography exhibiting changes in cardiac function in each group. Echocardiographic analysis of EF (B) and FS (C) in week 4 after treatment. (D) Representative images of senescence-associated β-galactosidase (SA-β-gal) staining. Scale bar: 20 µm. (E) Percentage of β-galactosidase (β-gal)-positive cells. (F, G) p21 and p16 mRNA levels were analyzed using quantitative reverse transcription-PCR. *p<0.05 vs control; ▲p<0.05 vs PD-1 inhibitor; ○p<0.05 vs PD-1 inhibitor+miR NC inhibitor in one-way analysis of variance, n=6. miR, NC, negative control; microRNA; PD-1, programmed cell death 1

Cardiomyocyte senescence and apoptosis did not occur when a PD-1 inhibitor was added in vitro

The proliferation under PD-1 treatment was first examined to investigate the potential pro-senescence effects of a PD-1 inhibitor on cardiomyocytes. No hampering in proliferation was observed when HL-1 cardiomyocytes were exposed to a PD-1 inhibitor (online supplemental figure S1A). Meanwhile, the administration of the PD-1 inhibitor did not affect the cell cycle (online supplemental figure S1B, C). The PD-1 inhibitor did not induce SA-β-gal-positive cells (online supplemental figure SD, E). These results indicated that the PD-1 inhibitor only did not affect the biological activity of cardiomyocytes, thus leading to cellular senescence. Also, the PD-1 inhibitor did not induce cellular apoptosis (online supplemental figure S1F, G). Similarly, we found that miR-34a-5p expression was slightly increased in PD-1 inhibitor–treated cardiomyocytes, however, with no significant difference (online supplemental figure S1H).

Macrophage-derived exosomes pretreated with a PD-1 inhibitor provoked cardiomyocyte senescence

Given the conditioned exosomes isolated from macrophages had a pro-senescent effect, whether exosomes derived from PD-1 inhibitor–pretreated macrophages affected cardiomyocyte senescence was determined. TEM and NTA showed that exosomes isolated from macrophages exhibited a round morphology and size of 50–100 nm. Moreover, the expression of exosome markers Flotillin-1, Tsg101, and CD63 was confirmed by western blot analysis (figure 4A–C). Also, the effects of PD-1 inhibitor–conditioned exosomes on cardiomyocyte senescence was determined. Exosome derived from PD-1 inhibitor–treated macrophages (exosomePD-1 inhibitor) induced cardiomyocyte senescence, showing that more cells were trapped in the G0/G1 phase as measured using flow cytometric analysis cell scan (FACS) (figure 4D, E), with the increased expression levels of cellular senescence–related genes p21 (figure 4F) and p16 (figure 4G), decreased telomere length (figure 4H) and telomerase activity (figure 4I), and a higher percentage of SA-β-gal-positive cells (figure 4J, K). However, exosomes from untreated macrophages showed no significant pro-senescent effect, indicating that the observed pro-senescent effects were PD-1 inhibitor-specific.
Figure 4

Macrophage-derived exosomes pretreated with a PD-1 inhibitor provoked cardiomyocyte senescence. Confirmation of exosomal collection using transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA), and western blot analysis. (A) Representative TEM image. (B) Size range of exosomes checked using NTA analysis. (C) Representative western blot images showing that the exosomal marker Flotillin-1, Tsg101, and CD63 were expressed in exosome and exosomePD-1 inhibitor. β-Actin in macrophages lysate was examined as control. (D, E) Cell cycle distribution was analyzed. *p<0.05 vs exosomePD-1 inhibitor in χ2 analysis, n=6. (F–H) Quantitative reverse transcription-PCR analyzed p21, p16, and telomere length mRNA levels. (I) Relative telomerase activity was measured. (J) Percentage of β-galactosidase (β-gal)-positive cells. (K) Representative images of senescence-associated β-galactosidase (SA-β-gal) staining. Scale bar: 50 µm. *p<0.05 vs exosomePD-1 inhibitor in repeated measures analysis of variance, n=6. PD-1, programmed cell death 1

Macrophage-derived exosomes pretreated with a PD-1 inhibitor provoked cardiomyocyte senescence. Confirmation of exosomal collection using transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA), and western blot analysis. (A) Representative TEM image. (B) Size range of exosomes checked using NTA analysis. (C) Representative western blot images showing that the exosomal marker Flotillin-1, Tsg101, and CD63 were expressed in exosome and exosomePD-1 inhibitor. β-Actin in macrophages lysate was examined as control. (D, E) Cell cycle distribution was analyzed. *p<0.05 vs exosomePD-1 inhibitor in χ2 analysis, n=6. (F–H) Quantitative reverse transcription-PCR analyzed p21, p16, and telomere length mRNA levels. (I) Relative telomerase activity was measured. (J) Percentage of β-galactosidase (β-gal)-positive cells. (K) Representative images of senescence-associated β-galactosidase (SA-β-gal) staining. Scale bar: 50 µm. *p<0.05 vs exosomePD-1 inhibitor in repeated measures analysis of variance, n=6. PD-1, programmed cell death 1

miR-34a-5p transferred by exosomes caused cardiac senescence

Exosomal RNA was extracted from three PD-1 inhibitor–treated macrophages and three control macrophages, and the expression profile was analyzed using the miR array to identify exosomal miRs. As a result, the maximum difference was for miR-34a-5p, a cellular senescence–related miR, which was confirmed by qRT-PCR (figure 5A, B). Exosomes prepared from macrophages were labeled with DiI to confirm whether this miR could be transferred to cardiomyocytes through exosomes. Exosome uptake by cardiomyocytes was observed (figure 5C). Also, miR-34a-5p was detected in cardiomyocytes incubated with exosomePD-1 inhibitor compared with cardiomyocytes without any treatment. As expected, miR-34a-5p had the strongest upregulation in cardiomyocytes incubated with exosomePD-1 inhibitor (figure 5D). Furthermore, the expression of miR-34a-5p in macrophages was silenced. The qRT-PCR results confirmed a significant decrease in the expression level of miR-34a-5p in macrophages even if treated with a PD-1 inhibitor (figure 5E). Macrophages were transfected with an miR-34a-5p inhibitor or an miR-NC inhibitor and were then subjected to a PD-1 inhibitor. Then, exosomes were collected. The qRT-PCR results revealed that the PD-1 inhibitor induced miR-34a-5p accumulation in the exosomes, which was abolished by antago-miR (figure 5F). Exosomes derived from macrophages, which were transfected with an miR-34a-5p inhibitor or an miR-NC inhibitor and then treated with a PD-1 inhibitor or treated only with a PD-1 inhibitor, were added to cardiomyocytes. In parallel experiments, cardiomyocytes without any treatment were used as control. Then, the expression of miR-34a-5p in cardiomyocytes was examined using qRT-PCR. The results revealed that exosomePD-1 inhibitor transferred miR-34a-5p to cardiomyocytes, while this transfer was destroyed by endogenous miR-34a-5p inhibition in macrophages (figure 5G).
Figure 5

miR-34a-5p transferred by macrophage-derived exosomes to cardiomyocytes. (A) Heat map of the microRNAs (miRs) differentially expressed between macrophage-derived exosomes pretreated with a PD-1 inhibitor (exosomePD-1 inhibitor) and macrophage-derived exosomes without any treatment (exosome). (B) Relative miR-34a-5p expression was validated using quantitative reverse transcription-PCR (qRT-PCR) in exosomePD-1 inhibitor and exosome; *p<0.05 vs exosome in paired t-test, n=3; (C) DiI-labeled macrophages are shown. Scale bar: 20 µm. (D) MiR-34a-5p mRNA was examined using qRT-PCR in cardiomyocytes incubated with exosomePD-1 inhibitor or exosome. Cardiomyocytes without any treatment were used as control; *p<0.05 vs exosomePD-1 inhibitor in repeated measures analysis of variance (ANOVA), n=6. (E) miR inhibitor–mediated transfection efficiency in macrophages was demonstrated using qRT-PCR. *p<0.05 vs control; ▲p<0.05 vs PD-1 inhibitor+miR-34a-5p inhibitor in repeated measures ANOVA, n=6. (F) miR-34a-5p mRNA in exosomes was examined using qRT-PCR.*p<0.05 vs control; ▲p<0.05 vs PD-1 inhibitor+miR-34a-5p inhibitor in repeated measures ANOVA, n=6. (G) miR-34a-5p mRNA in cardiomyocytes was examined using qRT-PCR.*p<0.05 vs control; ▲p<0.05 vs exosome; ○p<0.05 vs exosomePD-1 inhibitor+miR-34a-5p inhibitor in repeated measures ANOVA, n=6. PD-1, programmed cell death 1

miR-34a-5p transferred by macrophage-derived exosomes to cardiomyocytes. (A) Heat map of the microRNAs (miRs) differentially expressed between macrophage-derived exosomes pretreated with a PD-1 inhibitor (exosomePD-1 inhibitor) and macrophage-derived exosomes without any treatment (exosome). (B) Relative miR-34a-5p expression was validated using quantitative reverse transcription-PCR (qRT-PCR) in exosomePD-1 inhibitor and exosome; *p<0.05 vs exosome in paired t-test, n=3; (C) DiI-labeled macrophages are shown. Scale bar: 20 µm. (D) MiR-34a-5p mRNA was examined using qRT-PCR in cardiomyocytes incubated with exosomePD-1 inhibitor or exosome. Cardiomyocytes without any treatment were used as control; *p<0.05 vs exosomePD-1 inhibitor in repeated measures analysis of variance (ANOVA), n=6. (E) miR inhibitor–mediated transfection efficiency in macrophages was demonstrated using qRT-PCR. *p<0.05 vs control; ▲p<0.05 vs PD-1 inhibitor+miR-34a-5p inhibitor in repeated measures ANOVA, n=6. (F) miR-34a-5p mRNA in exosomes was examined using qRT-PCR.*p<0.05 vs control; ▲p<0.05 vs PD-1 inhibitor+miR-34a-5p inhibitor in repeated measures ANOVA, n=6. (G) miR-34a-5p mRNA in cardiomyocytes was examined using qRT-PCR.*p<0.05 vs control; ▲p<0.05 vs exosome; ○p<0.05 vs exosomePD-1 inhibitor+miR-34a-5p inhibitor in repeated measures ANOVA, n=6. PD-1, programmed cell death 1 Subsequently, exosomes derived from macrophages, which were transfected with miR-34a-5p inhibitor or an miR-NC inhibitor and then treated with a PD-1 inhibitor or treated only with a PD-1 inhibitor, were added to cardiomyocytes. ExosomePD-1 inhibitor induced cardiac senescence, while miR-34a-5p inhibition in macrophages significantly reduced the percentage of G0/G1-phase cells (figure 6A), the number of SA-β-gal-positive cells (figure 6B, C), and the expression of classical senescence-associated genes (figure 6D, E), while recovered the telomere length and telomerase activity (figure 6F, G). These results strongly supported that macrophage-derived exosomes with a PD-1 inhibitor exerted a pro-senescent effect partially through direct miR-34a-5p transfer.
Figure 6

miR-34a-5p transferred by exosomes caused cardiac senescence. (A) Cell cycle distribution was analyzed, *p<0.05 vs control; ▲p<0.05 vs exosomePD-1 inhibitor+miR-34a-5p inhibitor in χ2 analysis, n=6. (B) Percentage of β-galactosidase (β-gal)-positive cells. (C) Representative images of senescence-associated β-galactosidase (SA-β-gal) staining. Scale bar: 50 µm. (D–F) Quantitative reverse transcription-PCR analyzed p21, p16, and telomere length mRNA levels. (G) Relative telomerase activity was measured. Each column represents the mean±SD of six independent experiments. *p<0.05 vs control; ▲p<0.05 vs exosomePD-1 inhibitor+miR-34a-5p inhibitor in repeated measures analysis of variance, n=6. NC, negative control; miR, microRNA; PD-1, programmed cell death 1.

miR-34a-5p transferred by exosomes caused cardiac senescence. (A) Cell cycle distribution was analyzed, *p<0.05 vs control; ▲p<0.05 vs exosomePD-1 inhibitor+miR-34a-5p inhibitor in χ2 analysis, n=6. (B) Percentage of β-galactosidase (β-gal)-positive cells. (C) Representative images of senescence-associated β-galactosidase (SA-β-gal) staining. Scale bar: 50 µm. (D–F) Quantitative reverse transcription-PCR analyzed p21, p16, and telomere length mRNA levels. (G) Relative telomerase activity was measured. Each column represents the mean±SD of six independent experiments. *p<0.05 vs control; ▲p<0.05 vs exosomePD-1 inhibitor+miR-34a-5p inhibitor in repeated measures analysis of variance, n=6. NC, negative control; miR, microRNA; PD-1, programmed cell death 1.

Exosomal miR-34a-5p sponged PNUTS to induce cardiac senescence

To identify the target genes of miR-34a-5p regulation, the bioinformatics database was used to speculate a putative binding site between miR-34a-5p and PNUTS (online supplemental figure S2A), which was confirmed by the dual-luciferase gene reporter assay. The relative luciferase activity was significantly weakened in the WT PNUTS+miR-34a-5p mimic group (online supplemental figure S2B). The cardiomyocytes were treated with exosomePD-1 inhibitor to investigate the regulatory effect of exosomal-delivered miR-34a-5p on PNUTS expression in cardiomyocytes; the untreated cardiomyocytes were used as control. As expected, exosomePD-1 inhibitor markedly inhibited PNUTS expression in cardiomyocytes, while the inhibition of miR-34a-5p in macrophages rescued the expression of PNUTS (online supplemental figure S2C, D). These data suggested that PNUTS were genuine targets of miR-34a-5p in cardiomyocytes. Ad-PNUTS transfection enforced PNUTS overexpression in cardiomyocytes to explore the role of PNUTS in exosomePD-1 inhibitor -induced senescence, which was confirmed by qRT-PCR (figure 7A) and western blot analysis (figure 7B, C). Cardiomyocytes were transfected with Ad- PNUTS or Ad-Ctrl as control, and treated with exosomePD-1 inhibitor. In parallel, cardiomyocytes were treated with exosomePD-1 inhibitor. The untreated cardiomyocytes were used as control. PNUTS overexpression restrained the pro-senescent effects of exosomePD-1 inhibitor, decreasing the percentage of G0/G1-phase cells (figure 7D), the number of SA-β-gal-positive cells (figure 7E, F), and the expression of classical senescence-associated genes p21 and p16 (figure 7G, H). Meanwhile, it increased the telomere length and telomerase activity (figure 7I, J).
Figure 7

Exosomal miR-34a-5p sponged PNUTS to induce cardiac senescence. (A–C) Cardiomyocytes were transfected with Ad-PNUTS or Ad-Ctrl as control. Transfection efficiency was determined using quantitative reverse transcription-PCR (qRT-PCR) (A) and Western blot analysis (B and C). *p<0.05, vs Ad-PNUTS in repeated measures analysis of variance (ANOVA), n=6 (qRT-PCR), n=3 (western blot). (D) Cell cycle distribution was analyzed. *p<0.05 vs control; ▲p<0.05 vs exosomePD-1 inhibitor+Ad-PNUTS in χ2 analysis, n=6. (E) Percentage of β-galactosidase (β-gal)-positive cells. (F) Representative images of senescence-associated β-galactosidase (SA-β-gal) staining. Scale bar: 50 µm. (G–I) qRT-PCR analyzed p21, p16, and telomere length mRNA levels. (J) Relative telomerase activity was measured. *p<0.05 vs control; ▲p<0.05 vs exosomePD-1 inhibitor+Ad-PNUTS in repeated measures ANOVA, n=6.

Exosomal miR-34a-5p sponged PNUTS to induce cardiac senescence. (A–C) Cardiomyocytes were transfected with Ad-PNUTS or Ad-Ctrl as control. Transfection efficiency was determined using quantitative reverse transcription-PCR (qRT-PCR) (A) and Western blot analysis (B and C). *p<0.05, vs Ad-PNUTS in repeated measures analysis of variance (ANOVA), n=6 (qRT-PCR), n=3 (western blot). (D) Cell cycle distribution was analyzed. *p<0.05 vs control; ▲p<0.05 vs exosomePD-1 inhibitor+Ad-PNUTS in χ2 analysis, n=6. (E) Percentage of β-galactosidase (β-gal)-positive cells. (F) Representative images of senescence-associated β-galactosidase (SA-β-gal) staining. Scale bar: 50 µm. (G–I) qRT-PCR analyzed p21, p16, and telomere length mRNA levels. (J) Relative telomerase activity was measured. *p<0.05 vs control; ▲p<0.05 vs exosomePD-1 inhibitor+Ad-PNUTS in repeated measures ANOVA, n=6.

Discussion

One of the most exciting developments in cancer treatment is immunotherapy, which activates the immune system of patients to attack malignancies.30 Among the immunotherapy armamentarium are ICIs, which have shown promising results.31 In parallel with the increased use, the recognition of irAEs has also improved. Recently, cardiac injury has gained the attention of researchers.2 3 The indications for their use in cancer treatment continue to expand for an increasing number of malignancies, and in some as first-line therapy. Thus, increased awareness is needed to explore the mechanism of ICI-related cardiac injury. Our research results revealed that the cardiac function decreased apparently in mice 4 weeks after the first treatment (two cycles) of PD-1 inhibitor, in terms of both systolic function and diastolic function, which was consistent with previous clinical findings.32 As an independent risk factor for cardiovascular diseases, cardiac senescence contributes to elevated cardiovascular morbidity and mortality.33 Senescence leads to increased cellular senescence in a number of tissues and is frequently associated with increased expression levels of the senescence biomarker, p16Ink4a, impaired proliferation, and tissue regeneration.34 This study found that p16Ink4a was localized mainly in cardiomyocytes, indicating that cardiomyocytes were most susceptible to senescence during PD-1 inhibitor–induced cardiac senescence. In tumor cells, ICIs promoted telomere dysfunction and suppressed tumor progression by the activation of DNA damage checkpoints, which induced cell cycle arrest.35 The present study evaluated the effect of a PD-1 inhibitor on cardiac dysfunction and explored potential mechanisms. The results indicated that the PD-1 inhibitor induced cardiac dysfunction, accompanied by cell cycle arrest and telomere shortening. Exosomes are vesicles of endocytic origin released by many cells. These vesicles can mediate communication between cells, facilitating processes such as proinflammation, pro-senescence, and miR transfer.36 Indeed, only PD-1 inhibitor treatment did not induce cellular senescence in cardiomyocytes in vitro. However, opposite effects were found in vivo. Hence, it was speculated that another kind of cells might take part in PD-1 inhibitor–related cardiac dysfunction. The histopathological evaluation revealed that macrophages infiltrated in the cardiac tissue after ICIs treatment.37 Macrophages are important cells that modulate inflammation. Indeed, under some circumstance, macrophages promote inflammation and extend injury, thus leading to cardiac senescence–related injury.38 Previous studies suggested that exogenous stimuli–activated M1 macrophages induced resident cell injury through exosomal miR delivery.21 This study showed that treatment with exosomes from PD-1 inhibitor–treated macrophages increased the levels of miR-34a-5p in cardiomyocytes. The results showed a correlation between the levels of miR-34a-5p transferred to cardiomyocytes and cellular senescence. These results confirmed the hypothesis that the PD-1 inhibitor induced cardiac injury through macrophage-derived exosome transfer. miRs, short endogenous strands of RNAs of ∼18–24 nucleotides in length, are post-transcriptional regulators of gene expression.39 Microarray profiling analyses in our present study identified differentially expressed miRs in PD-1 inhibitor treated and normal mice hearts, most of which has been identified with crucial role in cardiac function. The miR-221/222 family is one of the first miRNA families found to be associated with cardiac fibrosis and immune-related cardiomyopathy.40 41 Researchers also identify a heart failure–dependent increase in miR-145 expression in human hearts and uncover the role of miR-145 in promoting cell senescence.42 The role of miR-34a in regulating cell senescence, development, and vitality has been extensively highlighted in a variety of cells.43 Also, miR-34a can be profoundly impacted by immune signaling.44 This study found that ICIs induced the accumulation of miR-34a-5p in the exosomes and its transfer to cardiomyocytes, thus leading to cardiac senescence. miR-34 has been reported to promote cell cycle arrest,45 coincident with the finding of the present study that exosomal-delivered miR-34a-5p inhibited cell cycle in the G0/G1 phase. miR-34a triggers senescence partly through the genetic inhibition of PNUTS in cardiomyocytes.46 This observation led to the exploration of the potential role of a PD-1 inhibitor in modulating miR-34a-dependent PNUTS expression in cardiomyocytes. The results showed that exosomePD-1 inhibitor significantly promoted miR-34a-5p transfer but inhibited PNUTS in cardiomyocytes. A study of the mechanistic role of miR-34a in regulating cardiac function unveiled PNUTS as a target of miR-34a, which was downregulated with age.47 PNUTS has emerged as a component of the DNA damage response that is recruited to DNA damage sites and inhibits cell cycle arrest,48 which was consistent with the findings of the present study that enforcing PNUTS expression relieved the cell cycle arrest caused by exosomePD-1 inhibitor. PNUTS interacted with telomere regulator, alleviating DNA damage–related telomere shortening and thus conferring a protective effect.49 Interestingly, the downregulation of the expression of PNUTS gene and protein induced by exosomePD-1 inhibitor was accompanied by telomere length shortening in cardiomyocytes. Some limitations existed in the current study. PD-1 inhibitor–related cardiotoxicity was only explored in animal model. Clinical experiments to demonstrate relationship between the miR-34a-5p levels and immunotherapy-related cardiotoxicity will carry on in the future. Meanwhile, miR-34a-5p knock-out (KO) animal will be applied to confirm our findings in the future study.

Conclusions

This study provided compelling evidence for the role of a PD-1 inhibitor in inducing cardiac senescence that accounted for cardiac injury. The exosomes derived from PD-1 inhibitor–treated macrophages markedly promoted cardiomyocyte senescence. The associated mechanism was also deciphered; specifically, exosomes transferred miR-34a-5p, leading to the inhibition of PNUTS in cardiomyocytes, thereby resulting in cardiac senescence. These findings might provide a new target in ameliorating cardiac injury in patients receiving immunotherapy.
  49 in total

1.  Keep PNUTS in your heart.

Authors:  Francesco S Loffredo; James R Pancoast; Richard T Lee
Journal:  Circ Res       Date:  2013-07-05       Impact factor: 17.367

Review 2.  Role of telomeres and telomerase in cancer.

Authors:  Jerry W Shay; Woodring E Wright
Journal:  Semin Cancer Biol       Date:  2011-10-17       Impact factor: 15.707

3.  Myocarditis in Patients Treated With Immune Checkpoint Inhibitors.

Authors:  Syed S Mahmood; Michael G Fradley; Justine V Cohen; Anju Nohria; Kerry L Reynolds; Lucie M Heinzerling; Ryan J Sullivan; Rongras Damrongwatanasuk; Carol L Chen; Dipti Gupta; Michael C Kirchberger; Magid Awadalla; Malek Z O Hassan; Javid J Moslehi; Sachin P Shah; Sarju Ganatra; Paaladinesh Thavendiranathan; Donald P Lawrence; John D Groarke; Tomas G Neilan
Journal:  J Am Coll Cardiol       Date:  2018-03-19       Impact factor: 24.094

4.  Myocardial aging as a T-cell-mediated phenomenon.

Authors:  Gustavo Campos Ramos; Anne van den Berg; Vânia Nunes-Silva; Johannes Weirather; Laura Peters; Matthias Burkard; Mike Friedrich; Jürgen Pinnecker; Marco Abeßer; Katrin G Heinze; Kai Schuh; Niklas Beyersdorf; Thomas Kerkau; Jocelyne Demengeot; Stefan Frantz; Ulrich Hofmann
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-02       Impact factor: 11.205

5.  Human kallikrein overexpression alleviates cardiac aging by alternatively regulating macrophage polarization in aged rats.

Authors:  Danli Hu; Ruolan Dong; Yan Yang; Zhihui Chen; Ying Tang; Menglu Fu; Dao Wen Wang; Xizhen Xu; Ling Tu
Journal:  FASEB J       Date:  2019-04-17       Impact factor: 5.191

6.  The microRNA-221/-222 cluster balances the antiviral and inflammatory response in viral myocarditis.

Authors:  Maarten F Corsten; Ward Heggermont; Anna-Pia Papageorgiou; Sophie Deckx; Aloys Tijsma; Wouter Verhesen; Rick van Leeuwen; Paolo Carai; Hendrik-Jan Thibaut; Kevin Custers; Georg Summer; Mark Hazebroek; Fons Verheyen; Johan Neyts; Blanche Schroen; Stephane Heymans
Journal:  Eur Heart J       Date:  2015-07-22       Impact factor: 29.983

Review 7.  Immune Checkpoint Blockade in Cancer Therapy.

Authors:  Michael A Postow; Margaret K Callahan; Jedd D Wolchok
Journal:  J Clin Oncol       Date:  2015-01-20       Impact factor: 44.544

8.  miR-34 Modulates Innate Immunity and Ecdysone Signaling in Drosophila.

Authors:  Xiao-Peng Xiong; Krishna Kurthkoti; Kung-Yen Chang; Jian-Liang Li; Xingjie Ren; Jian-Quan Ni; Tariq M Rana; Rui Zhou
Journal:  PLoS Pathog       Date:  2016-11-28       Impact factor: 6.823

9.  MiR-34b-3p represses cell proliferation, cell cycle progression and cell apoptosis in non-small-cell lung cancer (NSCLC) by targeting CDK4.

Authors:  Hongxiang Feng; Feixiang Ge; Lanfang Du; Zhenrong Zhang; Deruo Liu
Journal:  J Cell Mol Med       Date:  2019-06-14       Impact factor: 5.310

10.  Lipotoxic Hepatocyte-Derived Exosomal MicroRNA 192-5p Activates Macrophages Through Rictor/Akt/Forkhead Box Transcription Factor O1 Signaling in Nonalcoholic Fatty Liver Disease.

Authors:  Xiao-Lin Liu; Qin Pan; Hai-Xia Cao; Feng-Zhi Xin; Ze-Hua Zhao; Rui-Xu Yang; Jing Zeng; Huiping Zhou; Jian-Gao Fan
Journal:  Hepatology       Date:  2020-05-16       Impact factor: 17.298

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  10 in total

1.  A four-miRNA signature in serum as a biomarker for bladder cancer diagnosis.

Authors:  Rongkang Li; Xuan Chen; Xinji Li; Guocheng Huang; Chong Lu; Zhenyu Wen; Zebo Chen; Yongqing Lai
Journal:  Am J Transl Res       Date:  2022-07-15       Impact factor: 3.940

Review 2.  Extracellular vesicles and particles impact the systemic landscape of cancer.

Authors:  Serena Lucotti; Candia M Kenific; Haiying Zhang; David Lyden
Journal:  EMBO J       Date:  2022-09-02       Impact factor: 14.012

Review 3.  Emerging Role of Non-Coding RNAs in Senescence.

Authors:  Soudeh Ghafouri-Fard; Tayyebeh Khoshbakht; Bashdar Mahmud Hussen; Aria Baniahmad; Wojciech Branicki; Mohammad Taheri; Ahmad Eghbali
Journal:  Front Cell Dev Biol       Date:  2022-07-05

Review 4.  The role of non-coding RNAs in myocarditis: a narrative review.

Authors:  Wenhu Liu; Jing Hu; Shuai Lu; Zhaohui Wang
Journal:  Ann Transl Med       Date:  2022-09

Review 5.  PD-1/PD-L1 Inhibitor-Associated Myocarditis: Epidemiology, Characteristics, Diagnosis, Treatment, and Potential Mechanism.

Authors:  Hao Dong; Yihang Qi; Xiangyi Kong; Zhongzhao Wang; Yi Fang; Jing Wang
Journal:  Front Pharmacol       Date:  2022-04-19       Impact factor: 5.988

6.  Prevotellaceae produces butyrate to alleviate PD-1/PD-L1 inhibitor-related cardiotoxicity via PPARα-CYP4X1 axis in colonic macrophages.

Authors:  Yaxin Chen; Yanzhuo Liu; Yang Wang; Xuewei Chen; Chenlong Wang; Xuehan Chen; Xi Yuan; Lilong Liu; Jing Yang; Xiaoyang Zhou
Journal:  J Exp Clin Cancer Res       Date:  2022-01-03

7.  Serum miR-34a-5p and miR-199a-3p as new biomarkers of neonatal sepsis.

Authors:  Omayma O Abdelaleem; Shereen Rashad Mohammed; Hassan S El Sayed; Sherin Khamis Hussein; Doaa Y Ali; Mostafa Y Abdelwahed; Sylvana N Gaber; Nada F Hemeda; Rehab G Abd El-Hmid
Journal:  PLoS One       Date:  2022-01-06       Impact factor: 3.240

8.  Identification of a hippocampal lncRNA-regulating network in a natural aging rat model.

Authors:  Li Qi; Xiao Li; Shi-Min Liu; Dan-Li Jiao; Dan Hu; Xin-Yao Ju; Shu-Yu Zhao; Shu-Han Si; Li Hu; Guo-Na Li; Bing-Zhe Ma; Shuang Zhou; Chen Zhao
Journal:  BMC Neurosci       Date:  2022-09-28       Impact factor: 3.264

Review 9.  Overcoming the cardiac toxicities of cancer therapy immune checkpoint inhibitors.

Authors:  Omoruyi Credit Irabor; Nicolas Nelson; Yash Shah; Muneeb Khan Niazi; Spencer Poiset; Eugene Storozynsky; Dinender K Singla; Douglas Craig Hooper; Bo Lu
Journal:  Front Oncol       Date:  2022-09-16       Impact factor: 5.738

Review 10.  How Are Epigenetic Modifications Related to Cardiovascular Disease in Older Adults?

Authors:  Mojgan Gharipour; Arya Mani; Mona Amini Baghbahadorani; Camila Kellen de Souza Cardoso; Shayesteh Jahanfar; Nizal Sarrafzadegan; Cesar de Oliveira; Erika Aparecida Silveira
Journal:  Int J Mol Sci       Date:  2021-09-14       Impact factor: 5.923

  10 in total

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