Literature DB >> 33993490

Caspases and therapeutic potential of caspase inhibitors in moderate-severe SARS-CoV-2 infection and long COVID.

Matthew Plassmeyer1, Oral Alpan1, Michael J Corley2, Thomas A Premeaux2, Kimberleigh Lillard1, Paige Coatney1, Tina Vaziri1, Suzan Michalsky1, Alina P S Pang2, Zaheer Bukhari3, Stephen T Yeung2, Teresa H Evering2, Gail Naughton4, Martin Latterich4, Philip Mudd5, Alfred Spada4, Nicole Rindone4, Denise Loizou4, Søren Ulrik Sønder1, Lishomwa C Ndhlovu2, Raavi Gupta3.   

Abstract

BACKGROUND: COVID-19 can present with lymphopenia and extraordinary complex multiorgan pathologies that can trigger long-term sequela. AIMS: Given that inflammasome products, like caspase-1, play a role in the pathophysiology of a number of co-morbid conditions, we investigated caspases across the spectrum of COVID-19 disease. MATERIALS &
METHODS: We assessed transcriptional states of multiple caspases and using flow cytometry, the expression of active caspase-1 in blood cells from COVID-19 patients in acute and convalescent stages of disease. Non-COVID-19 subject presenting with various comorbid conditions served as controls.
RESULTS: Single-cell RNA-seq data of immune cells from COVID-19 patients showed a distinct caspase expression pattern in T cells, neutrophils, dendritic cells, and eosinophils compared with controls. Caspase-1 was upregulated in CD4+ T-cells from hospitalized COVID-19 patients compared with unexposed controls. Post-COVID-19 patients with lingering symptoms (long-haulers) also showed upregulated caspase-1activity in CD4+ T-cells that ex vivo was attenuated with a select pan-caspase inhibitor. We observed elevated caspase-3/7levels in red blood cells from COVID-19 patients compared with controls that was reduced following caspase inhibition. DISCUSSION: Our preliminary results suggest an exuberant caspase response in COVID-19 that may facilitate immune-related pathological processes leading to severe outcomes. Further clinical correlations of caspase expression in different stages of COVID-19 will be needed.
CONCLUSION: Pan-caspase inhibition could emerge as a therapeutic strategy to ameliorate or prevent severe COVID-19.
© 2021 European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.

Entities:  

Keywords:  COVID-19; T-helper cell; caspase; emricasan; red blood cell

Mesh:

Substances:

Year:  2021        PMID: 33993490      PMCID: PMC8222863          DOI: 10.1111/all.14907

Source DB:  PubMed          Journal:  Allergy        ISSN: 0105-4538            Impact factor:   14.710


INTRODUCTION

Coronavirus Disease 2019 (COVID‐19) is the latest global health threat and, as in two preceding instances of the emergence of coronavirus respiratory disease, poses critical challenges for the public health, research, and medical communities. , Although the pathology of COVID‐19 is now well described, the mechanisms underlying disease progression remain unclear. While a robust vaccination campaign and the further development of vaccines against SARS‐CoV‐2, the causal agent of COVID‐19, are underway, a variety of investigational therapeutic approaches are also being explored. Dexamethasone, plitidepsin, and monoclonal antibody therapies, such astoclilizumab and eculizumab, have shown promise in lowering soluble inflammatory markers part of the cytokine storm and reducing severe outcomes inCOVID‐19. , , , Further elucidating effector molecules responsible for disease progression to determine effective interventions earlier in the course of the disease is needed to help design effective therapies to ameliorate disease manifestations and its complications. , , The scope and severity of COVID‐19 vary among those infected. Some patients exhibit no or minor flu‐like symptoms and quick recovery, some have sustained fever and have persistent fatigue with a postviral syndrome, while others experience serious lung involvement that requires hospitalization that may lead to death. Although the respiratory and the gastrointestinal system are initial targets for SARS‐CoV‐2, there clearly is a systemic nature to this disease in severe cases that may be driven by micro‐emboli and inflammatory processes. , While follow‐up in natural history studies will likely uncover additional postinfection sequelae, the notable impairment in type‐I interferon responses, neutrophils, chemokines and the rapid lymphopenia clearly plays a role in disease severity , , highlighting the need for novel therapeutics that take into consideration the mechanism(s) of infection, viral replication, and effector pathways that lead to COVID‐19‐associated pathologies. , Inflammasome activation in peripheral immune cells and tissues was recently observed in COVID‐19 patients and the level of inflammasome‐derived products, including active caspase‐1, associated with disease severity and poor outcomes. We recently reported that caspase‐1 expression in lymphocytes and serum IL‐18 levels are increased in liver transplant patients acutely ill with SARS‐CoV‐2 infection, suggesting that pyroptosis mechanisms may play a role in severe COVID‐19. A recent study showed that SARS‐CoV‐2 infection of rhesus macaques led to an upregulation of caspase‐1molecular signature in peripheral blood cells as early as day 2 post‐inoculation. Pyroptosis, also known as caspase‐1‐dependent cell death, is inherently inflammatory, triggered by various pathological stimuli (i.e., stroke, heart attack, and cancer), crucial for controlling microbial infections, , , and characterized by rapid plasma‐membrane rupture and the release of proinflammatory intracellular contents, , a marked contrast to the regulated death process of apoptosis. Insights into the complex activation and regulation of the inflammasome complex and the way in which COVID‐19 intersects with this pathway are an area of significant investigation Thus, strategies targeting the inflammasome/pyroptosis pathway upstream of the production of the effector cytokines may be a novel approach to reverse COVID‐19‐induced immune perturbations Building on our previous findings, we sought to expand our analysis to investigate caspase‐1 activity in SARS‐CoV‐2 infection, as well as the role of other caspases, including in red blood cells (RBCs) given the significance of COVID‐19‐associated coagulopathies ,

METHODS

Subjects

COVID‐19 patient blood samples used for immunophenotyping were obtained during patients’ visit or hospitalizations at SUNY Downstate Medical Center in New York from May through to July 2020. Patients were defined as (1) non‐hospitalized, with and without presentation of COVID‐19 symptoms and (2) hospitalized with presentation of COVID‐19 symptoms. Total of 10 ml peripheral blood from venipuncture was drawn into EDTA and Heparin‐coated vacutainer tubes for immunophenotyping and processed within 48 h of blood draw. Control blood samples from healthy volunteers without SARS‐CoV‐2 infection or comorbid conditions were collected after obtaining written informed consent. Demographics of the patients are shown in Tables 1 and 2. None of the patients or controls were HIV positive. There were no significant differences in demographics and comorbidities of the patients.
TABLE 1

Demographics and comorbidities of COVID‐19 patients and healthy controls

Hospitalized critical/ICUSARS‐CoV‐2 PCR + non‐critical/non‐ICUHealthy SARS‐CoV‐2 Ab Neg
n 181128
Age (median)6671.552
80+515
71–80436
61–70225
51–60334
41–50215
0–40213
Ethnicity
African/American11410
Other7718
Gender
Male9513
Female9614
Mean BMI312926
Comorbid conditions
Asthma330
Autoimmune disease320
Cancer130
COPD830
Coronary artery disease760
Congestive heart failure650
CKD without dialysis240
CKD/ESRD with dialysis720
Diabetes mellitus640
Hyperlipidemia450
Hypertension1150
Immune suppression320
TABLE 2

Demographics of post‐COVID‐19 healthcare workers (HCWs)

HCWComorbidities*
n 36
Age (median)64
71–803 (8)2 (67)
61–704 (11)2 (50)
51–6016 (44)8 (50)
41–504 (11)1 (25)
18–409 (25)2 (22)
Ethnicity
African/American12 (33)7 (58)
Other24 (67)8 (33)
Gender
Male15 (42)9 (60)
Female21 (58)6 (28)

(*) Comorbidities are the same as listed in Table 1. Age group, ethnicity, and gender percentages of the total HCW numbers are shown in parenthesis in the second column. Number of comorbidities for each age group, ethnicity, and gender are shown in the third column, along with the respective percentages in parenthesis.

Demographics and comorbidities of COVID‐19 patients and healthy controls Demographics of post‐COVID‐19 healthcare workers (HCWs) (*) Comorbidities are the same as listed in Table 1. Age group, ethnicity, and gender percentages of the total HCW numbers are shown in parenthesis in the second column. Number of comorbidities for each age group, ethnicity, and gender are shown in the third column, along with the respective percentages in parenthesis.

Flow cytometry

Whole blood was stained as per the clinical standard immunophenotyping protocols (Amerimmune LLC, Fairfax, VA). The samples were stained with the multiple antibody combinations for 30 min at 4°C. RBCs were lyzed using BD FACS lysis solution (BD Bioscience, San Jose, CA) as per manufacturer's directions. In brief, freshly obtained peripheral blood mononuclear cells (PBMC) were separated from 2 ml of whole blood within 24 h of collection and diluted 1:1 with phosphate‐buffered saline pH 7.2 (PBS) (Thermo Fisher Scientific, Carlsbad, CA) using Lymphoprep (Stem cell Technologies, Cambridge, MA) and Accuspin tubes (Sigma‐Aldrich, St. Louis, MO) as per manufacturer's directions. PBMCs were washed in PBS and resuspended in 0.5 ml PBS; 100 µl of the PBMCs was immunostained with a mixture of antibodies at 4℃ for 1 h. Cells were washed and resuspended in PBS prior to acquisition. Antibodies used for the immune phenotyping of patient samples are detailed in the Appendix S1 section of the manuscript (Appendix S1). Apoptosis (caspase 3/7) and pyroptosis (caspase‐1) were measured by flow cytometry using fluorescent‐labeled inhibitors of caspase probe assay (FLICA; Immunochemistry Technologies, Minneapolis, MN). As a control, PBMCs were stimulated with nigericin for 2 h. FAM‐FLICA probes specific for caspase‐1 or caspase 3/7 were added to 50 µl PBMC or whole blood and incubated for 1 h at 37℃. Cells were subsequently washed and stained with a cocktail of fluorescently conjugated antibodies against CD45 PE‐CY7 [HI30], CD3 AF700 [UCHT1], CD4 PE [RPA‐T4], CD45RO PerCP‐EF710 [UCHL1], and Viability Dye 780 (Thermo Fisher Scientific, Carlsbad, CA). Red blood cells were identified as CD235‐positive cells in the experiments where caspase3/7 activity was measured. Samples were acquired on a 3 laser BD FACS Canto 10. CS&T beads (BD Bioscience, San Jose, CA) were acquired daily to ensure consistent performance of the BD FACS Canto 10 Canto10. The BD FACS Canto 10 utilized for this study has been validated for T, B, NK and dendritic cell immunophenotyping clinical diagnostic testing. Denovo FCS Express v6 clinical edition (De Novo Software, Pasadena, CA) was used for flow cytometric analyses.

Plasma experiments

Plasma was separated from whole blood following centrifugation at 960 RCF. Cells (RBC and WBC) were either incubated at 37°C alone or in the presence of trypsin for 1 h, then washed with 10 packed cell volumes of RPMI 1640 incomplete medium. Plasma was either held at room temperature (18–25°C) or heat inactivated at 56°C for 1 h. Plasma was added back to the RBC/WBC in a 1:1 ratio and incubated overnight, rocking at room temperature. RBC caspase 3/7 activity was measured as described under flow cytometry.

Public SARS‐CoV‐2 and COVID‐19 transcriptome analyses

Single‐cell RNA‐Seq data from three COVID‐19 participants that were ventilated and diagnosed with acute respiratory distress syndrome at 2–16 days after symptom onset and from 6 healthy controls were accessed from GEO RNA‐Seq data from cell lines infected in vitro with SARS‐CoV‐2 was accessed from GEO: GSE147507 Expression values for caspase genes were normalized by DESeq2.

Ex vivo stimulation studies

Active caspase‐1 in COVID‐19 infected patient samples. Whole blood from a COVID‐19‐positive patient was either (A) untreated or (B) treated with the pan‐caspase inhibitor emricasan, EMR (Sigma Aldrich, MO, SML2227‐5MG) or selective caspase‐1 inhibitor VX765 overnight at 37 degrees in a water bath at 1 and 5 μM concentrations. Subsequently, PBMCs were purified (Accuspin System – Histopaque 1077; Sigma Aldrich, MO, A6929) and incubated with nigericin (Immunochemistry Technologies, MN) for 2 h. A Fam‐FLICA probe specific for active caspase‐1 was added to 50 µl PBMC and incubated for 1 h at 37℃. PMBCs were washed with cell wash buffer (Immunochemistry Technologies, MN) and stained with a cocktail of fluorescently conjugated antibodies against CD45 PE‐CY7 [HI30], CD3 AF700 [UCHT1], CD4 PE [RPA‐T4], CD45RO PerCP‐EF710 [UCHL1], and Viability Dye 780 (Thermo Fisher Scientific, Carlsbad, CA). Lymphocytes were identified using a standard gating schematic, which incorporated gating of lymphocytes on an FSC/SSC plot and singlets on a FSC‐A/FSC‐H plot. Lymphocytes were further identified as CD45+ on a CD45/SSC plot and subsequent CD3‐, CD3+ and CD3+CD4+ cells were identified on a CD45+ CD3/CD4 plot.

Statistical analysis

Demographic and HIV‐related characteristics were described using the median, first quartile (Q1) and third quartile (Q3) for continuous variables and frequency for categorical variables. Differences among continuous variables were evaluated by either the Mann–Whitney, student t test or Kruskal–Wallis test with Dunn's multiple comparisons. Relationships among parameters were examined by Pearson correlation for continuous variables. All statistical tests were performed with GraphPad Prism version 8.0 (Graphpad Software Inc., CA, USA). Statistical significance is indicated as *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001. p‐values ≤0.100, but not significant, are noted as statistical trends.

Study approval

All clinical investigations were conducted according to Declaration of Helsinki principles. All human studies were approved by institutional review boards (IRB 269846‐10 and 1285028 protocols from State University of New York Downstate Medical Center and Amerimmune respectively). Written informed consent was received from participants prior to inclusion in the study.

RESULTS

Changes in intracellular active Caspase‐1 levels in immune cells in hospitalized patients with COVID‐19 disease

Transcriptional support of our previous findings showing increased gene expression of caspase‐1 in CD4+ T cells was observed using a published single‐cell RNA‐Seq immune profiling dataset of patients with moderate–severe COVID‐19 (Figure S1). , CD4+ T cells also showed an upregulation of caspase‐7 and ‐9 upon IFN stimulation. Interestingly, there were altered caspase gene expression in other cellular subsets, including neutrophils (all inflammatory and apoptotic caspases), plasmacytoid dendritic cells (caspases 7 and 9), and eosinophils (caspase 6). Examination of caspase gene expression levels in public transcriptome profiling datasets of in vitro SARS‐CoV‐2 infection models (Figure S2) shows further evidence of caspase gene expression upregulation upon SARS‐CoV‐2 infection in target cells. To follow up on our previous findings of increased T‐cell caspase‐1 expression in COVID‐19, we analyzed intracellular active caspase‐1 in CD4+ T cells of non‐ICU and ICU patients with COVID‐19 and healthy individuals for comparison (Table 1) using our laboratory‐developed test (LDT) that has been analytically validated in a CLIA‐certified and CAP‐accredited flow cytometry laboratory. Frequency of caspase‐1+ CD4+ T cells was significantly elevated at baseline in hospitalized (both ICU and non‐ICU) COVID‐19 patients compared with healthy participants (Figure 1A–D; all p‐value <0.0001). Nigericin was used as a positive control, as it is crucial for oligomerization of the NLRP3 inflammasome and activation of caspase‐1, and we found that with nigericin stimulation, hospitalized COVID‐19 patients still had a higher frequency of active caspase‐1 in CD4+ T cells compared with controls (all p‐value <0.0001; Figure 1A–D). Similar findings were obtained for CD8T cells (Figure S3). However, we also found that the levels of pannexin‐1, an intermediatory protein involved in nigericin signaling‐induced caspase‐1 activation and IL‐1ß processing and release, were also elevated in COVID‐19 patients (Figure S4). Variation in the expression levels of pannexin‐1 between individual healthy and COVID‐19 subjects may explain the differences in the nigericin response to upregulate T‐cell caspase‐1.
FIGURE 1

Caspase‐1 expression in immune cells. Caspase‐1 expression is shown for total (CD3+) T cells, CD4+ T cells, non‐CD3+ T‐cell lymphocytes, and myeloid cells (A‐D). Caspase‐1 expression in CD4+ T cells is correlated with γ/δ T cells, NK cells (CD3‐CD56/16+), and CRTH2+ CD4+ T cells (E‐G). Individual patient data are shown and the frequency of caspase‐1+ CD4+ T cells is significantly elevated at baseline in COVID‐19 patients (n = 29) compared with healthy (n = 28) participants with and without nigericin stimulation. All p‐values are by unpaired and 2‐tailed Student's t test or linear regression analysis. *p < 0.05, ***p < 0.001, ****p < 0.0001

Caspase‐1 expression in immune cells. Caspase‐1 expression is shown for total (CD3+) T cells, CD4+ T cells, non‐CD3+ T‐cell lymphocytes, and myeloid cells (A‐D). Caspase‐1 expression in CD4+ T cells is correlated with γ/δ T cells, NK cells (CD3‐CD56/16+), and CRTH2+ CD4+ T cells (E‐G). Individual patient data are shown and the frequency of caspase‐1+ CD4+ T cells is significantly elevated at baseline in COVID‐19 patients (n = 29) compared with healthy (n = 28) participants with and without nigericin stimulation. All p‐values are by unpaired and 2‐tailed Student's t test or linear regression analysis. *p < 0.05, ***p < 0.001, ****p < 0.0001 We next correlated active caspase‐1 with cellular subsets and cytokines associated with its activation. We observed that active caspase‐1 expression is predominant in the CD45RO+ memory population and showed a weak but statistically significant correlation with older age, a finding that might potentially explain advanced age as one of the biggest risk factors for poor outcomes in COVID‐19 (Table S1). Furthermore, our preliminary data show that CD4+ T‐cell active caspase‐1 levels in patients with COVID‐19 were correlated with CRTH2+ T‐cells, γ/δT‐cells, CD3‐CD16+/CD56+ lymphocytes, and plasmacytoid dendritic cells (Figure 1E–G and Table S1). CD4+ T‐cell active caspase‐1 expression directly correlated with elevated serum levels of IL‐18 in hospitalized COVID‐19 individuals (Figure S5). Next, we wanted to determine if elevated active caspase‐1 activity in CD4+ T cells is unique to COVID‐19 patients. We assessed caspase‐1 activity in pediatric or adult non‐COVID‐19 patients (n = 104), including those who presented chronic sinusitis, asthma, common variable immune deficiency, or chronic idiopathic urticaria based on ICD‐10 diagnosis codes indicated in the patient's chart, in which T‐cell caspase‐1 measurement was performed as a part of patient care during immunological work‐up (Figure 2). Among adults, there was a statistically significant elevation of baseline CD4 T‐cell caspase‐1 in only asthmatics (p < 0.001), and nigericin stimulated CD4 T‐cell caspase in asthmatics (p < 0.0001) and chronic rhinosinusitis (p < 0.05). There was no elevation of baseline CD4 T‐cell caspase‐1 in any of the disease categories in the pediatric population; however, nigericin stimulated CD4 T‐cell caspase was elevated in pediatric asthma and common variable immune deficiency (p < 0.001), further providing preliminary evidence on the role of active caspase‐1 in this high‐risk population.
FIGURE 2

Caspase‐1 expression in CD4+ T cells of non‐COVID‐19 patients (unexposed and uninfected adult and pediatric patients with allergic/immunological disorders). Open symbols are resting nonstimulated CD4+ T cells. Closed symbols represent caspase‐1 expression in nigericin‐stimulated CD4+ T cells. Different symbols represent different disease states. Adults (>18 years) are represented with an A (n = 65) and pediatric subjects (<18 years) represented with a P (n = 39) in the bottom of the graph. CRS; chronic rhinosinusitis, CVID; common variable immune deficiency, and CIU; chronic idiopathic urticaria. The diagnosis and T‐cell caspase‐1 data are retrospective data from medical records of patients presenting to an allergy immunology clinic for an immunological evaluation. Control patient data were generated during clinical assay validation of T‐helper cell caspase‐1 assay (n = 45 for adults and n = 39 for pediatrics). All p‐values are by unpaired and 2‐tailed Student's t test. *p < 0.05, ***p < 0.001, ****p < 0.0001

Caspase‐1 expression in CD4+ T cells of non‐COVID‐19 patients (unexposed and uninfected adult and pediatric patients with allergic/immunological disorders). Open symbols are resting nonstimulated CD4+ T cells. Closed symbols represent caspase‐1 expression in nigericin‐stimulated CD4+ T cells. Different symbols represent different disease states. Adults (>18 years) are represented with an A (n = 65) and pediatric subjects (<18 years) represented with a P (n = 39) in the bottom of the graph. CRS; chronic rhinosinusitis, CVID; common variable immune deficiency, and CIU; chronic idiopathic urticaria. The diagnosis and T‐cell caspase‐1 data are retrospective data from medical records of patients presenting to an allergy immunology clinic for an immunological evaluation. Control patient data were generated during clinical assay validation of T‐helper cell caspase‐1 assay (n = 45 for adults and n = 39 for pediatrics). All p‐values are by unpaired and 2‐tailed Student's t test. *p < 0.05, ***p < 0.001, ****p < 0.0001

Caspase‐1 upregulation is not limited to the acute stage of COVID‐19 disease

Up to 87% of inpatients and 35% of outpatients who recover from COVID‐19 report persistence of at least 1 symptom, particularly fatigue and dyspnea , Although preliminary reports describe this new feature as “post‐COVID‐19 syndrome” [also known as long COVID or Post‐Acute Sequelae of SARS‐CoV‐2 infection (PASC)], its mechanisms and natural history remain unknown. We assayed caspase‐1 activity inCD4+ T cells of healthcare workers (HCWs) with persistent respiratory and/or neurological (fatigue) symptoms at least 90 days post‐SARS‐CoV‐2 infection (Table 2). There was a statistically significant upregulation of baseline as well as nigericin‐stimulated CD4 T‐cell caspase‐1 levels only in symptomatic “post‐COVID‐19” HCWs, also known as long haulers (Figure 3). An asymptomatic group of patients with history of PCR+virus infection and no flu‐like illness preceding the PCR test and absent seroconversion showed elevated CD4 T‐cell caspase‐1 expression. Interestingly, PCR‐negative symptomatic HCWs with history of flu‐like illness in early 2020 as well as those with positive IgG to SARS‐CoV‐2 also had increase caspase‐1 expression. The level of expression of nigericin‐stimulated caspase‐1 was comparable to those with active infection as seen in Figure 2, although the baseline caspase‐1 levels are lower in long haulers. Non‐exposed control subjects showed no T‐cell caspase‐1 overexpression. The non‐exposed subjects were identified from a different geographical area (Fairfax, Virginia, USA) at a time when the pandemic was at its lowest numbers (August–September 2020). These subjects were also exercising strict self‐isolation.
FIGURE 3

Caspase‐1 expression on CD4+T cells in post‐COVID‐19 Health Care Workers. Blood samples were analyzed at least 90 days after SARS‐CoV‐2 exposure in healthcare workers. Patients with no exposure history and negative PCR to SARS‐CoV‐2 were used as controls. Solid black circles represent symptomatic patients and green circles represent nonsymptomatic patients. Exposure indicates being in close proximity to SARS‐CoV‐2‐infected patients in the absence of personal protection equipment. Persistent post‐COVID19 symptoms correlated with elevated caspase‐1 expression in T‐helper cells (p < 0.05)

Caspase‐1 expression on CD4+T cells in post‐COVID‐19 Health Care Workers. Blood samples were analyzed at least 90 days after SARS‐CoV‐2 exposure in healthcare workers. Patients with no exposure history and negative PCR to SARS‐CoV‐2 were used as controls. Solid black circles represent symptomatic patients and green circles represent nonsymptomatic patients. Exposure indicates being in close proximity to SARS‐CoV‐2‐infected patients in the absence of personal protection equipment. Persistent post‐COVID19 symptoms correlated with elevated caspase‐1 expression in T‐helper cells (p < 0.05)

Pan‐caspase inhibitor suppresses elevated caspase‐1 activity in CD4+T cells derived from moderate–severe COVID‐19 patients

To assess whether CD4+Tcell caspase‐1 activity can be suppressed by small‐molecule caspase inhibitors, we incubated whole‐blood samples with either the oral pan‐caspase inhibitor emricasan (EMR) or the selective orally active ICE/caspase‐1 inhibitor VX765, followed 24 h later with or without nigericin stimulation. We found that EMR suppressed CD4+ T‐cell caspase‐1 activity in COVID‐19 samples or prevented its upregulation in healthy subjects (Figure 4), while VX765 showed only minimal suppressive effect.
FIGURE 4

Effect of caspase inhibition on CD4+ T cells in COVID‐19 patients. Samples from healthy and COVID‐19 subjects incubated with caspase inhibitors: EMR or VX765. Activated caspase‐1 was measured by flow cytometry using a Fam‐FLICA probe. Emricasan (EMR) at 1 μM concentration induces the strongest suppression of CD4+ T‐cell caspase‐1 in unstimulated cells (p < 0.01), whereas the selective caspase‐1 inhibitor VX‐765 does not induce a similar effect. Kruskal–Wallis ANOVA test with Tukey multiple comparisons for >2 group comparisons was used. p values are as follows: *p < 0.05, **p < 0.01. Experiments represent n = 3

Effect of caspase inhibition on CD4+ T cells in COVID‐19 patients. Samples from healthy and COVID‐19 subjects incubated with caspase inhibitors: EMR or VX765. Activated caspase‐1 was measured by flow cytometry using a Fam‐FLICA probe. Emricasan (EMR) at 1 μM concentration induces the strongest suppression of CD4+ T‐cell caspase‐1 in unstimulated cells (p < 0.01), whereas the selective caspase‐1 inhibitor VX‐765 does not induce a similar effect. Kruskal–Wallis ANOVA test with Tukey multiple comparisons for >2 group comparisons was used. p values are as follows: *p < 0.05, **p < 0.01. Experiments represent n = 3

Red Blood cells show increased caspase‐3/7 activity in COVID‐19 disease which is suppressed by a pan‐caspase inhibitor

Recent reports suggest abnormalities in the RBCs in patients with COVID‐19. , , In the process of Ficoll separation, we observed a layer of RBCs contaminating the PBMC layer that was universally present in all samples from COVID‐19 individuals (Figure 5A). Although we did not quantify the degree of RBC contamination, this finding was also present in up to 80% of COVID‐19 convalescent subjects. Plasma from acutely infected COVID‐19 subjects induced a similar finding when incubated overnight with plasma‐depleted whole blood of healthy patients. Treatment of the plasma samples with trypsin, DNAse, or heat inactivation did not abolish this effect (data not shown), suggesting a cell intrinsic process rather than cell surface changes. Cellular caspases are not limited to immune cells. RBCs do not express caspase‐1, but have been shown to have detectable caspase‐3 that increases with various disorders. We found that RBCs from acute COVID‐19 subjects showed upregulation of caspase‐3/7 activity compared with healthy controls (Figure 5B). Plasma from these patients also upregulated caspase‐3 in healthy subjects’ RBCs. When healthy subjects’ RBCs were incubated with plasma from influenza‐infected patients, this effect was not observed, although a similar RBC contamination was observed in these samples after Ficoll separation. Furthermore, EMR suppressed the caspase‐3 upregulation in samples incubated with COVID‐19 patient‐derived plasma, but did not change the baseline expression levels in influenza‐plasma incubated samples.
FIGURE 5

Caspase 3/7 activity in red blood cells (RBC) derived from COVID‐19 patients. Blood samples were analyzed from hospitalized patients with SARS‐CoV‐2 infection. (A) RBC contamination of the PBMC layer after Ficoll separation. (B) Analysis of caspase 3/7 activity in COVID‐19 patients and healthy controls. Some experiments were performed using plasma from COVID‐19 or subjects with influenza incubated with RBCs from healthy uninfected donors as indicated. COVID‐19 patients’ RBCs show elevated caspase 3/7 (p < 0.01) and EMR has a significant suppressive activity on this expression (p < 0.05). Plasma from hospitalized COVID‐19 patients induces caspase 3/7 in healthy RBCs on overnight incubation (p < 0.01). Kruskal–Wallis ANOVA test with Tukey multiple comparisons for >2 group comparisons was used. p‐values are as follows: *p < 0.05, **p < 0.01. Experiments represent n = 3. The photos are representative and have been reproduced in the relevant patient categories

Caspase 3/7 activity in red blood cells (RBC) derived from COVID‐19 patients. Blood samples were analyzed from hospitalized patients with SARS‐CoV‐2 infection. (A) RBC contamination of the PBMC layer after Ficoll separation. (B) Analysis of caspase 3/7 activity in COVID‐19 patients and healthy controls. Some experiments were performed using plasma from COVID‐19 or subjects with influenza incubated with RBCs from healthy uninfected donors as indicated. COVID‐19 patients’ RBCs show elevated caspase 3/7 (p < 0.01) and EMR has a significant suppressive activity on this expression (p < 0.05). Plasma from hospitalized COVID‐19 patients induces caspase 3/7 in healthy RBCs on overnight incubation (p < 0.01). Kruskal–Wallis ANOVA test with Tukey multiple comparisons for >2 group comparisons was used. p‐values are as follows: *p < 0.05, **p < 0.01. Experiments represent n = 3. The photos are representative and have been reproduced in the relevant patient categories

DISCUSSION

While COVID‐19 disease presents primarily with respiratory symptoms, for many patients including children, it is a systemic disease with a wide range of effects on many organs. , , In this report, we show preliminary evidence for association of caspase molecules that play a role in cell death and immunity, not only in the acute phase but also in late stages of COVID19. The changes are seen in multiple caspase molecules, and a number of different circulating blood cells, a finding that will further lead to exploration of the systemic nature of this disease. Caspase‐1 has been proposed to play a role in the pathophysiology of COVID‐19. In addition to leading to a lytic form of cell death called pyroptosis, caspase‐1 induces the formation of biologically active IL‐18 and IL‐1β. , IL‐18 induces an IFN‐γ response, while IL‐1β induces neutrophil influx and activation, T‐ and B‐cell activation, cytokine and antibody production, and promotes Th17 differentiation. , , , Elevated levels of IL‐18, IL‐1β, and other proinflammatory cytokines were observed from the lungs and sera of COVID‐19 patients. Although activation of the inflammasome enhances immunity against pathogens, the accompanying danger and inflammatory signals originating from pyroptosing immune system cells (e.g., T‐cell and macrophage/dendritic cells) can be damaging to the host in several ways. First, it will result in immune cell lymphopenia, such as that observed with T cells, a pathognomonic feature for SARS‐CoV‐2, creating an adaptive immune defect. Second, the host will have difficulty controlling the inflammation created in the setting of this immune deficiency as the “danger signals” would also be originating from dying immune system cells. , , The end result is likely a self‐damaging shut down of the immune system, resulting in acute virus‐induced immune deficiency (AVID). Preventing the pyroptotic lymphocyte death by using caspase inhibitors may lead to better success rather than inhibition of the inflammatory response from the cell death itself. The failure of cytokine‐targeted therapies could be as a result of that adaptive immune dysfunction caused by AVID weighing more heavily than an inflammatory response in disease progression. In our activeCD4 T‐cell caspase‐1 assay, we analyzed the sensitivity to nigericin stimulation. This provided further information on the cell surface pannexin‐1 expression, which is upregulated by cellular caspases and can play a role in disease pathogenesis. Also, cell surface expression level of pannexin‐1 can vary between healthy controls, which can explain the differences in response to nigericin. We also found that EMR is effective in reducing active caspase‐1 CD4 T cells from COVID‐19 patients, while VX765 failed to significantly do so. VX765 is a prodrug that needs hydrolyzation to form into its active form and is a reversible inhibitor of caspase‐1, as opposed to EMR which is an irreversible inhibitor. Furthermore, EMR is transported into cells via active transport with cell membrane channels, whereas VX765 is internalized by passive diffusion. All these factors may explain the differences we see between these two caspase inhibitors. Further studies are needed to explain the differences in inhibition between the two molecules, particularly in the context of SARS‐CoV‐2 infection. The changes in caspase expression are not only limited to CD4 T cells, as we show changes in caspase‐3 in RBCs and caspase‐5 in neutrophils. Caspase activation has been shown to induce changes in the RBC morphology, , , which can explain the contamination of the PBMC layer during cell separation as a result of a reduction in their density. Furthermore, their overexpression of caspase 3/7 can subsequently contribute to the formation or advancement of inflammatory microvascular thrombi, which is prominently found in the lung, kidney, and heart of patients with COVID‐19. , Although viral illnesses typically will impact the function or the life cycle of lymphocytes, presenting with either lymphocytosis, such as in CMV, influenza, varicella, or more rarely, lymphopenia, as in H5N1, H1N1, HIV, the finding of neutrophilia in the setting of moderate‐to‐severe COVID‐19 has been a common, but intriguing finding. In the absence of significant overexpression of apoptotic caspases, the increase in the inflammatory caspase‐5 in neutrophils may play a part in the neutrophilia observed with COVID‐19. Furthermore, the production of IL‐10 by neutrophils with increase caspase activity, can further suppress the proliferation of T‐lymphocytes, hence contributing to the adaptive immune deficiency. The differential expression of caspases and their interplay in different blood and/or tissue cells need further identification, as it may impact the acute and chronic complications from this disease. Caspase molecules have been studied extensively in many forms of inflammatory conditions, such as obesity, diabetes and nonalcoholic statohepatitis (NASH). , , Caspase‐1‐dependent inflammasome activation has been shown to have a crucial function in the establishment of diabetic nephropathy. In an animal model of hypertension, apoptosis of myocardial cells was demonstrated, and the apoptosis becomes more serious with the constantly elevated level and prolonged duration of hypertension. The activity of caspase‐3 was shown to have a close correlation with cardiomyocyte apoptosis. Our data showing increased expression of active caspase‐1 in T‐helper cells of patients with asthma and immune deficiencies correlate with their high‐risk classification for severe COVID‐19 as provided by the centers for disease control (CDC). Perhaps, the changes in cellular caspases seen in COVID‐19 may not only explain the multisystem involvement in this disease, but may allow for identification for those at risk for complications, including long haulers, based on caspase expression in blood cells. Our findings suggest a novel alternate therapeutic approach against COVID‐19 through the use of caspase inhibition early on in the course of infection to alleviate or prevent disease progression. As an oral formulation, EMR has been shown to reduce serum markers of apoptosis (caspase‐3/7), liver enzymes, function (e.g., reducing alanine aminotransferase, model for end‐stage liver disease & Child‐Pugh scores, international normalized ratio, and total bilirubin), and inflammatory biomarkers (CK‐18) in patients w/ hepatitis C virus and NASH. Although there was no improvement in liver histology, it is possible that the pathology of this disease has mechanisms that are caspase‐independent or with the timing of therapy. , Although SARS‐CoV‐2 does not seem to infect immune system cells (with the possible exception of macrophage or dendritic cells), the outcome of T‐cell depletion in severe forms of the disease seems to be through caspase‐1 activation, a mechanism also proposed in HIV. A better understanding of the impact of different comorbid conditions on T‐cell caspase expression at baseline, before exposure to SARS‐CoV‐2, may identify those who are at highest risk for developing severe disease. There is a large body of evidence pointing out an activated inflammasome in a wide variety of disorders that overlap with high‐risk conditions for severe COVID‐19. , , , Ultimately in vivo clinical data are necessary to test the hypothesis of whether pan‐caspase inhibition can prevent inflammasome activation in early onset SARS‐CoV‐2 patients and subsequent lymphopenia and sequelae development. Furthermore, the pan‐caspase inhibitor, EMR, has been shown in a bioinformatics computational screen to bind to the COVID‐19 receptor ACE2, suggesting a potential block to cell entry. In a separate unrelated study, a screening of ~6,070 drugs with a known 28 previous history of use in humans was conducted to identify compounds that inhibit the activity of SARS‐CoV‐2 main protease Mpro in vitro. EMR was shown to be among 50 compounds with activity against Mpro with an overall hit rate <0.75%. Preliminary evidence on this multimodal therapeutic effect of EMR raises a relevant key question that will need to be answered through a randomized clinical trial in the setting of COVID‐19 (Graphical Abstract). Caspase plays important role in the initiation of immune responses. The interplay of caspases during the acute stage of a viral infection, however, involves a complex set of events that can have a positive or a negative impact on the immunity against the infection as well as the damage created on the host. There are a number of mouse model studies suggesting that CD8+ T cells early on involve a number of cell expansion cycles that are under control of caspase 8. At the same time, caspase‐1 is a key component in inflammasome, strongly promoting severe inflammation, while the proapoptotic caspases, such as caspase 3/6/7/9, lead to cell death, including that of WBCs. The latter mechanisms may be responsible for the leukopenia seen on severe COVID‐19. While the ultimate answer lies in a carefully monitored clinical study of caspase inhibitors, such as emricasan, in mild COVID‐19 patients, there are a number of clinical studies with emricasan in liver disease, including hepatitis patients that suggest otherwise. These studies hint that even in severe liver and kidney function compromised patients, emricasan treatment was well tolerated and even after prolonged treatment and at high doses did not result in an elevated infection risk. An important aspect of our study is the demonstration of caspase‐1 expression well past the acute stage of COVID‐19, suggesting a role in the convalescent phase or disease sequelae. Such persistent changes cannot only be limited to immune system cells but also can be seen in tissues such as endothelial cells, which could be a causal impact on multiple organ systems. , , Assessing the sequelae, such as fatigue, dyspnea, cough, joint pain, anosmia, among others, , in correlation with the changes in caspase molecules in natural history studies, is warranted. Sequelae targeting populations where caspase elevations are more common, such as the elderly, and those with other comorbid conditions, such as heart disease, diabetes, hypertension, provide further evidence for the association of caspases with poor outcomes from COVID‐19. Dampening the inflammatory response with a caspase inhibitor early in the disease process may be a strategy to prevent sequelae, such as in rheumatic fever, where treating streptococcus early on in the disease through the co‐treatment of penicillin and antiinflammatories can prevent severe disease sequelae. Currently, as of April 2021, a phase 1 clinical trial, the PACE study, on the safety and tolerability of the pan‐caspase inhibitor emricasan, is enrolling patients with mild COVID‐19 (NCT04803227).

AUTHOR CONTRIBUTIONS

MP, TV, KL and PC conducted experiments and acquired data. MP, OA, TAP, and ZB analyzed the data. MP, OA, MJC, KL, PC, TV, SM, TAP, APSP, ZB, STY, THE, GN, ML, PM, AS, NR, DL, LCN, and RG wrote the manuscript. OA, MP, LCN and RG contributed to the study design and concept. All authors reviewed the manuscript. App S1 Click here for additional data file.
  78 in total

1.  Effect of Remdesivir vs Standard Care on Clinical Status at 11 Days in Patients With Moderate COVID-19: A Randomized Clinical Trial.

Authors:  Christoph D Spinner; Robert L Gottlieb; Gerard J Criner; José Ramón Arribas López; Anna Maria Cattelan; Alex Soriano Viladomiu; Onyema Ogbuagu; Prashant Malhotra; Kathleen M Mullane; Antonella Castagna; Louis Yi Ann Chai; Meta Roestenberg; Owen Tak Yin Tsang; Enos Bernasconi; Paul Le Turnier; Shan-Chwen Chang; Devi SenGupta; Robert H Hyland; Anu O Osinusi; Huyen Cao; Christiana Blair; Hongyuan Wang; Anuj Gaggar; Diana M Brainard; Mark J McPhail; Sanjay Bhagani; Mi Young Ahn; Arun J Sanyal; Gregory Huhn; Francisco M Marty
Journal:  JAMA       Date:  2020-09-15       Impact factor: 56.272

2.  Caspase-8 restricts antiviral CD8 T cell hyperaccumulation.

Authors:  Yanjun Feng; Lisa P Daley-Bauer; Linda Roback; Hongyan Guo; Heather S Koehler; Marc Potempa; Lewis L Lanier; Edward S Mocarski
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-08       Impact factor: 11.205

3.  A Controllable Inflammatory Response and Temporary Abnormal Coagulation in Moderate Disease of COVID-19 in Wuhan, China.

Authors:  Yuchen Liu; Xiaohong Zhang; Jialu Qiao; Ruyu Gong; Qiang You; Jian Sun; Wei Liu; Binlian Sun
Journal:  J Clin Med Res       Date:  2020-08-15

Review 4.  Mechanism and Regulation of NLRP3 Inflammasome Activation.

Authors:  Yuan He; Hideki Hara; Gabriel Núñez
Journal:  Trends Biochem Sci       Date:  2016-09-23       Impact factor: 13.807

5.  A randomized, placebo-controlled trial of emricasan in patients with NASH and F1-F3 fibrosis.

Authors:  Stephen A Harrison; Zachary Goodman; Abdul Jabbar; Ravi Vemulapalli; Ziad H Younes; Bradley Freilich; Muhammad Y Sheikh; Jörn M Schattenberg; Zeid Kayali; Adam Zivony; Aasim Sheikh; Javier Garcia-Samaniego; Sanjaya K Satapathy; George Therapondos; Edward Mena; Detlef Schuppan; James Robinson; Jean L Chan; David T Hagerty; Arun J Sanyal
Journal:  J Hepatol       Date:  2019-12-27       Impact factor: 25.083

6.  Increased caspase-3 immunoreactivity of erythrocytes in STZ diabetic rats.

Authors:  Uğur Fırat; Savaş Kaya; Abdullah Cim; Hüseyin Büyükbayram; Osman Gökalp; Mehmet Sinan Dal; Mehmet Numan Tamer
Journal:  Exp Diabetes Res       Date:  2012-04-26

Review 7.  Recent Advances in the Molecular Mechanisms Underlying Pyroptosis in Sepsis.

Authors:  Yu-Lei Gao; Jian-Hua Zhai; Yan-Fen Chai
Journal:  Mediators Inflamm       Date:  2018-03-07       Impact factor: 4.711

8.  Heightened Innate Immune Responses in the Respiratory Tract of COVID-19 Patients.

Authors:  Zhuo Zhou; Lili Ren; Li Zhang; Jiaxin Zhong; Yan Xiao; Zhilong Jia; Li Guo; Jing Yang; Chun Wang; Shuai Jiang; Donghong Yang; Guoliang Zhang; Hongru Li; Fuhui Chen; Yu Xu; Mingwei Chen; Zhancheng Gao; Jian Yang; Jie Dong; Bo Liu; Xiannian Zhang; Weidong Wang; Kunlun He; Qi Jin; Mingkun Li; Jianwei Wang
Journal:  Cell Host Microbe       Date:  2020-05-04       Impact factor: 21.023

9.  Dexamethasone in Hospitalized Patients with Covid-19.

Authors:  Peter Horby; Wei Shen Lim; Jonathan R Emberson; Marion Mafham; Jennifer L Bell; Louise Linsell; Natalie Staplin; Christopher Brightling; Andrew Ustianowski; Einas Elmahi; Benjamin Prudon; Christopher Green; Timothy Felton; David Chadwick; Kanchan Rege; Christopher Fegan; Lucy C Chappell; Saul N Faust; Thomas Jaki; Katie Jeffery; Alan Montgomery; Kathryn Rowan; Edmund Juszczak; J Kenneth Baillie; Richard Haynes; Martin J Landray
Journal:  N Engl J Med       Date:  2020-07-17       Impact factor: 91.245

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  15 in total

1.  The role of IL-1 family of cytokines and receptors in pathogenesis of COVID-19.

Authors:  Shima Makaremi; Ali Asgarzadeh; Hamed Kianfar; Alireza Mohammadnia; Vahid Asghariazar; Elham Safarzadeh
Journal:  Inflamm Res       Date:  2022-06-25       Impact factor: 6.986

2.  Gene Networks of Hyperglycemia, Diabetic Complications, and Human Proteins Targeted by SARS-CoV-2: What Is the Molecular Basis for Comorbidity?

Authors:  Olga V Saik; Vadim V Klimontov
Journal:  Int J Mol Sci       Date:  2022-06-29       Impact factor: 6.208

3.  Longitudinal Study of DNA Methylation and Epigenetic Clocks Prior to and Following Test-Confirmed COVID-19 and mRNA Vaccination.

Authors:  Alina P S Pang; Albert T Higgins-Chen; Florence Comite; Ioana Raica; Christopher Arboleda; Hannah Went; Tavis Mendez; Michael Schotsaert; Varun Dwaraka; Ryan Smith; Morgan E Levine; Lishomwa C Ndhlovu; Michael J Corley
Journal:  Front Genet       Date:  2022-06-03       Impact factor: 4.772

4.  Molecular Profiling Reveals Characteristic and Decisive Signatures in Patients after Allogeneic Stem Cell Transplantation Suffering from Invasive Pulmonary Aspergillosis.

Authors:  Tamara Zoran; Bastian Seelbinder; Philip Lewis White; Jessica Sarah Price; Sabrina Kraus; Oliver Kurzai; Joerg Linde; Antje Häder; Claudia Loeffler; Goetz Ulrich Grigoleit; Hermann Einsele; Gianni Panagiotou; Juergen Loeffler; Sascha Schäuble
Journal:  J Fungi (Basel)       Date:  2022-02-10

Review 5.  Postacute Sequelae of Severe Acute Respiratory Syndrome Coronavirus 2 Infection.

Authors:  Aluko A Hope; Teresa H Evering
Journal:  Infect Dis Clin North Am       Date:  2022-02-15       Impact factor: 5.905

6.  Caspases and therapeutic potential of caspase inhibitors in moderate-severe SARS-CoV-2 infection and long COVID.

Authors:  Matthew Plassmeyer; Oral Alpan; Michael J Corley; Thomas A Premeaux; Kimberleigh Lillard; Paige Coatney; Tina Vaziri; Suzan Michalsky; Alina P S Pang; Zaheer Bukhari; Stephen T Yeung; Teresa H Evering; Gail Naughton; Martin Latterich; Philip Mudd; Alfred Spada; Nicole Rindone; Denise Loizou; Søren Ulrik Sønder; Lishomwa C Ndhlovu; Raavi Gupta
Journal:  Allergy       Date:  2021-06-02       Impact factor: 14.710

Review 7.  Dysregulation in erythrocyte dynamics caused by SARS-CoV-2 infection: possible role in shuffling the homeostatic puzzle during COVID-19.

Authors:  Michelle Mendanha Mendonça; Kellen Rosa da Cruz; Denise da Silva Pinheiro; Gean Carlos Alves Moraes; Patricia Maria Ferreira; Marcos Luiz Ferreira-Neto; Eduardo Sérgio da Silva; Reggiani Vilela Gonçalves; Gustavo Rodrigues Pedrino; James O Fajemiroye; Carlos Henrique Xavier
Journal:  Hematol Transfus Cell Ther       Date:  2022-01-25

Review 8.  Emerging Insights on Caspases in COVID-19 Pathogenesis, Sequelae, and Directed Therapies.

Authors:  Thomas A Premeaux; Stephen T Yeung; Zaheer Bukhari; Scott Bowler; Oral Alpan; Raavi Gupta; Lishomwa C Ndhlovu
Journal:  Front Immunol       Date:  2022-02-21       Impact factor: 7.561

9.  NSAIDs and Kelleni's protocol as potential early COVID-19 treatment game changer: could it be the final countdown?

Authors:  Mina T Kelleni
Journal:  Inflammopharmacology       Date:  2021-11-25       Impact factor: 5.093

10.  The Effect of Natural-Based Formulation (NBF) on the Response of RAW264.7 Macrophages to LPS as an In Vitro Model of Inflammation.

Authors:  Sheelu Monga; Basem Fares; Rami Yashaev; Dov Melamed; Meygal Kahana; Fuad Fares; Abraham Weizman; Moshe Gavish
Journal:  J Fungi (Basel)       Date:  2022-03-21
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