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Wang M, Zhang D, Lei T, Zhou Y, Qin H, Wu Y, Liu S, Zhang L, Jia K, Dong Y, Wang S, Li Y, Fan Y, Gui L, Dong Y, Zhang W, Li Z, Hou J. Interferon-responsive neutrophils and macrophages extricate SARS-CoV-2 Omicron critical patients from the nasty fate of sepsis. J Med Virol 2024; 96:e29889. [PMID: 39206862 DOI: 10.1002/jmv.29889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 07/24/2024] [Accepted: 08/18/2024] [Indexed: 09/04/2024]
Abstract
The SARS-CoV-2 Omicron variant is characterized by its high transmissibility, which has caused a worldwide epidemiological event. Yet, it turns ominous once the disease progression degenerates into severe pneumonia and sepsis, presenting a horrendous lethality. To elucidate the alveolar immune or inflammatory landscapes of Omicron critical-ill patients, we performed single-cell RNA-sequencing (scRNA-seq) of bronchoalveolar lavage fluid (BALF) from the patients with critical pneumonia caused by Omicron infection, and analyzed the correlation between the clinical severity scores and different immune cell subpopulations. In the BALF of Omicron critical patients, the alveolar violent myeloid inflammatory environment was determined. ISG15+ neutrophils and CXCL10+ macrophages, both expressed the interferon-stimulated genes (ISGs), were negatively correlated with clinical pulmonary infection score, while septic CST7+ neutrophils and inflammatory VCAN+ macrophages were positively correlated with sequential organ failure assessment. The percentages of ISG15+ neutrophils were associated with more protective alveolar epithelial cells, and may reshape CD4+ T cells to the exhaustive phenotype, thus preventing immune injuries. The CXCL10+ macrophages may promote plasmablast/plasma cell survival and activation as well as the production of specific antibodies. As compared to the previous BALF scRNA-seq data from SARS-CoV-2 wild-type/Alpha critical patients, the subsets of neutrophils and macrophages with pro-inflammatory and immunoregulatory features presented obvious distinctions, suggesting an immune disparity in Omicron variants. Overall, this study provides a BALF single-cell atlas of Omicron critical patients, and suggests that alveolar interferon-responsive neutrophils and macrophages may extricate SARS-CoV-2 Omicron critical patients from the nasty fate of sepsis.
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Affiliation(s)
- Mu Wang
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Dingji Zhang
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Ting Lei
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Ye Zhou
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Hao Qin
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Second Military Medical University, Shanghai, China
| | - Yanfeng Wu
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Shuxun Liu
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Liyuan Zhang
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Kaiwei Jia
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Yue Dong
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Suyuan Wang
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Yunhui Li
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Yiwen Fan
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Liangchen Gui
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Yuchao Dong
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Second Military Medical University, Shanghai, China
| | - Wei Zhang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Second Military Medical University, Shanghai, China
| | - Zhixuan Li
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
| | - Jin Hou
- National Key Laboratory of Immunity and Inflammation, Institute of Immunology, Second Military Medical University, Shanghai, China
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Liu S, Wang B, Chen T, Wang H, Liu J, Zhao X, Zhang Y. Two new and effective food-extracted immunomodulatory agents exhibit anti-inflammatory response activity in the hACE2 acute lung injury murine model of COVID-19. Front Immunol 2024; 15:1374541. [PMID: 38807598 PMCID: PMC11130445 DOI: 10.3389/fimmu.2024.1374541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 04/25/2024] [Indexed: 05/30/2024] Open
Abstract
Objective The coronavirus disease 2019 (COVID-19) spread rapidly and claimed millions of lives worldwide. Acute respiratory distress syndrome (ARDS) is the major cause of COVID-19-associated deaths. Due to the limitations of current drugs, developing effective therapeutic options that can be used rapidly and safely in clinics for treating severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infections is necessary. This study aims to investigate the effects of two food-extracted immunomodulatory agents, ajoene-enriched garlic extract (AGE) and cruciferous vegetables-extracted sulforaphane (SFN), on anti-inflammatory and immune responses in a SARS-CoV-2 acute lung injury mouse model. Methods In this study, we established a mouse model to mimic the SARS-CoV-2 infection acute lung injury model via intratracheal injection of polyinosinic:polycytidylic acid (poly[I:C]) and SARS-CoV-2 recombinant spike protein (SP). After the different agents treatment, lung sections, bronchoalveolar lavage fluid (BALF) and fresh faeces were harvested. Then, H&E staining was used to examine symptoms of interstitial pneumonia. Flow cytometry was used to examine the change of immune cell populations. Multiplex cytokines assay was used to examine the inflammatory cytokines.16S rDNA high-throughput sequencing was used to examine the change of gut microbiome. Results Our results showed that AGE and SFN significantly suppressed the symptoms of interstitial pneumonia, effectively inhibited the production of inflammatory cytokines, decreased the percentage of inflammatory cell populations, and elevated T cell populations in the mouse model. Furthermore, we also observed that the gut microbiome of genus Paramuribaculum were enriched in the AGE-treated group. Conclusion Here, for the first time, we observed that these two novel, safe, and relatively inexpensive immunomodulatory agents exhibited the same effects on anti-inflammatory and immune responses as neutralizing monoclonal antibodies (mAbs) against interleukin 6 receptor (IL-6R), which have been suggested for treating COVID-19 patients. Our results revealed the therapeutic ability of these two immunomodulatory agents in a mouse model of SARS-CoV-2 acute lung injury by promoting anti-inflammatory and immune responses. These results suggest that AGE and SFN are promising candidates for the COVID-19 treatment.
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Affiliation(s)
- Shasha Liu
- Biotherapy Center and Cancer Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Baiqiao Wang
- The First Clinical Medical College, Henan University of Chinese Medicine, Zhengzhou, China
| | - Tianran Chen
- Biotherapy Center and Cancer Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Wang
- Biotherapy Center and Cancer Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jinbo Liu
- School of Life Sciences, Zhengzhou University, Zhengzhou, China
| | - Xuan Zhao
- Biotherapy Center and Cancer Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yi Zhang
- Biotherapy Center and Cancer Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, China
- School of Public Health, Zhengzhou University, Zhengzhou, China
- Engineering Key Laboratory for Cell Therapy of Henan Province, Zhengzhou, China
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3
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Poisson J, El-Sissy C, Serret-Larmande A, Smith N, Lebraud M, Augy JL, Conti C, Gonnin C, Planquette B, Arlet JB, Hermann B, Charbit B, Pastre J, Devaux F, Ladavière C, Lim L, Ober P, Cannovas J, Biard L, Gulczynski MC, Blumenthal N, Péré H, Knosp C, Gey A, Benhamouda N, Murris J, Veyer D, Tartour E, Diehl JL, Duffy D, Paillaud E, Granier C. Increased levels of GM-CSF and CXCL10 and low CD8 + memory stem T Cell count are markers of immunosenescence and severe COVID-19 in older people. Immun Ageing 2024; 21:28. [PMID: 38715114 PMCID: PMC11075216 DOI: 10.1186/s12979-024-00430-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 04/18/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Ageing leads to altered immune responses, resulting in higher susceptibility to certain infections in the elderly. Immune ageing is a heterogeneous process also associated with inflammaging, a low-grade chronic inflammation. Altered cytotoxic T cell responses and cytokine storm have previously been described in severe COVID-19 cases, however the parameters responsible for such immune response failures are not well known. The aim of our study was to characterize CD8+ T cells and cytokines associated with ageing, in a cohort of patients aged over 70 years stratified by COVID-19 severity. RESULTS One hundred and four patients were included in the study. We found that, in older people, COVID-19 severity was associated with (i) higher level of GM-CSF, CXCL10 (IP-10), VEGF, IL-1β, CCL2 (MCP-1) and the neutrophil to lymphocyte ratio (NLR), (ii) increased terminally differentiated CD8+T cells, and (ii) decreased early precursors CD8+ T stem cell-like memory cells (TSCM) and CD27+CD28+. The cytokines mentioned above were found at higher concentrations in the COVID-19+ older cohort compared to a younger cohort in which they were not associated with disease severity. CONCLUSIONS Our results highlight the particular importance of the myeloid lineage in COVID-19 severity among older people. As GM-CSF and CXCL10 were not associated with COVID-19 severity in younger patients, they may represent disease severity specific markers of ageing and should be considered in older people care.
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Affiliation(s)
- Johanne Poisson
- Université Paris Cité, Paris, France
- Department of Geriatric Medicine, Hôpital Europeen Georges Pompidou, AP-HP, Paris, France
- Inserm U1149, Center for Research on Inflammation, Paris, France
| | - Carine El-Sissy
- INSERM, Laboratory of Integrative Cancer Immunology, Paris, France
- Cordeliers Research Center, Sorbonne University, University Paris Cité, Paris, France
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France
| | - Arnaud Serret-Larmande
- ECSTRRA Team, UMR-1153, Université Paris Cité, INSERM, AP-HP, Saint Louis Hospital, Paris, France
| | - Nikaïa Smith
- Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Morgane Lebraud
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France
| | - Jean-Loup Augy
- Medical intensive care unit, Hopital Delafontaine, 2 rue du Dr Delafontaine, Saint-Denis, 93200, France
| | - Catherine Conti
- Université Paris Cité, Paris, France
- Department of Geriatric Medicine, Hôpital Europeen Georges Pompidou, AP-HP, Paris, France
| | - Cécile Gonnin
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France
- Université Paris Cité, INSERM, PARCC, Paris, France
| | - Benjamin Planquette
- Service de Pneumologie Et Soins Intensifs, Hôpital Européen Georges Pompidou, AP-HP, Paris, France
| | - Jean-Benoît Arlet
- Internal Medicine Department, Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
- Faculty of Medicine, Université Paris Cité, Paris, 75006, France
| | - Bertrand Hermann
- Medical Intensive Care Unit, AP-HP. Centre Université Paris Cité, Georges Pompidou European Hospital, Paris, 75015, France
- INSERM UMR 1266, Institut de Psychiatrie Et Neurosciences de Paris (IPNP), Université Paris Cité, Paris, France
| | - Bruno Charbit
- Institute of Ophthalmology, University College London (UCL), London, UK
| | - Jean Pastre
- Service de Pneumologie Et Soins Intensifs, Hôpital Européen Georges Pompidou, AP-HP, Paris, France
| | - Floriane Devaux
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France
| | - Cyrielle Ladavière
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France
| | - Lydie Lim
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France
| | - Pauline Ober
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France
| | - Johanna Cannovas
- Department of Geriatric Medicine, Hôpital Europeen Georges Pompidou, AP-HP, Paris, France
| | - Lucie Biard
- ECSTRRA Team, UMR-1153, Université Paris Cité, INSERM, AP-HP, Saint Louis Hospital, Paris, France
| | - Marie-Christelle Gulczynski
- Gérontologie 1, GHU AP-HP. Centre Université Paris Cité, Corentin Celton Hospital, Issy-Les-Moulineaux, 92130, France
| | - Noémie Blumenthal
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France
| | - Hélène Péré
- Virology Laboratory, Hôpital Européen Georges-Pompidou, APHP.Centre - Université Paris Cité, Paris, France
- Centre de Recherche Des Cordeliers, Sorbonne Université, Inserm, Université de Paris, Functional Genomics of Solid Tumors Laboratory, Équipe Labellisée Ligue Nationale Contre Le Cancer, Labex OncoImmunology, Paris, France
- Université Paris Cité, Faculté de Santé, UFR de Médecine, Paris, France
| | | | - Alain Gey
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France
| | - Nadine Benhamouda
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France
| | - Juliette Murris
- HeKA, Inria Paris, Inserm, Université Paris Cité, Paris, France
| | - David Veyer
- Virology Laboratory, Hôpital Européen Georges-Pompidou, APHP.Centre - Université Paris Cité, Paris, France
- Centre de Recherche Des Cordeliers, Sorbonne Université, Inserm, Université de Paris, Functional Genomics of Solid Tumors Laboratory, Équipe Labellisée Ligue Nationale Contre Le Cancer, Labex OncoImmunology, Paris, France
| | - Eric Tartour
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France
| | - Jean-Luc Diehl
- Medical Intensive Care Unit, AP-HP. Centre Université Paris Cité, Georges Pompidou European Hospital, Paris, 75015, France
- University Paris Cité, Innovative Therapies in Hemostasis, INSERM, Paris, 75006, France
| | - Darragh Duffy
- Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Elena Paillaud
- Université Paris Cité, Paris, France.
- Department of Geriatric Medicine, Hôpital Europeen Georges Pompidou, AP-HP, Paris, France.
- Univ. Paris Est Créteil, Inserm U955, IMRB, Créteil, France.
| | - Clémence Granier
- Department of Immunology, APHP, Hôpital Européen Georges Pompidou (HEGP), Paris, France.
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Li YY, Yuan MM, Li YY, Li S, Wang JD, Wang YF, Li Q, Li J, Chen RR, Peng JM, Du B. Cell-free DNA methylation reveals cell-specific tissue injury and correlates with disease severity and patient outcomes in COVID-19. Clin Epigenetics 2024; 16:37. [PMID: 38429730 PMCID: PMC10908074 DOI: 10.1186/s13148-024-01645-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 02/16/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND The recently identified methylation patterns specific to cell type allows the tracing of cell death dynamics at the cellular level in health and diseases. This study used COVID-19 as a disease model to investigate the efficacy of cell-specific cell-free DNA (cfDNA) methylation markers in reflecting or predicting disease severity or outcome. METHODS Whole genome methylation sequencing of cfDNA was performed for 20 healthy individuals, 20 cases with non-hospitalized COVID-19 and 12 cases with severe COVID-19 admitted to intensive care unit (ICU). Differentially methylated regions (DMRs) and gene ontology pathway enrichment analyses were performed to explore the locus-specific methylation difference between cohorts. The proportion of cfDNA derived from lung and immune cells to a given sample (i.e. tissue fraction) at cell-type resolution was estimated using a novel algorithm, which reflects lung injuries and immune response in COVID-19 patients and was further used to evaluate clinical severity and patient outcome. RESULTS COVID‑19 patients had globally reduced cfDNA methylation level compared with healthy controls. Compared with non-hospitalized COVID-19 patients, the cfDNA methylation pattern was significantly altered in severe patients with the identification of 11,156 DMRs, which were mainly enriched in pathways related to immune response. Markedly elevated levels of cfDNA derived from lung and more specifically alveolar epithelial cells, bronchial epithelial cells, and lung endothelial cells were observed in COVID-19 patients compared with healthy controls. Compared with non-hospitalized patients or healthy controls, severe COVID-19 had significantly higher cfDNA derived from B cells, T cells and granulocytes and lower cfDNA from natural killer cells. Moreover, cfDNA derived from alveolar epithelial cells had the optimal performance to differentiate COVID-19 with different severities, lung injury levels, SOFA scores and in-hospital deaths, with the area under the receiver operating characteristic curve of 0.958, 0.941, 0.919 and 0.955, respectively. CONCLUSION Severe COVID-19 has a distinct cfDNA methylation signature compared with non-hospitalized COVID-19 and healthy controls. Cell type-specific cfDNA methylation signature enables the tracing of COVID-19 related cell deaths in lung and immune cells at cell-type resolution, which is correlated with clinical severities and outcomes, and has extensive application prospects to evaluate tissue injuries in diseases with multi-organ dysfunction.
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Affiliation(s)
- Yuan-Yuan Li
- Medical ICU, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Beijing, 100730, China
| | - Ming-Ming Yuan
- Geneplus-Beijing, Floor 9, Building 6, Medical Park Road, Zhongguancun Life Science Park, Changping District, Beijing, 102206, China
| | - Yuan-Yuan Li
- Medical ICU, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Beijing, 100730, China
| | - Shan Li
- Medical ICU, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Beijing, 100730, China
| | - Jing-Dong Wang
- Geneplus-Shenzhen, Building B, First Branch, Zhongcheng Life Science Park, Zhongxing Road, Kengzi Street, Pingshan District, Shenzhen, 518000, China
| | - Yu-Fei Wang
- Geneplus-Shenzhen, Building B, First Branch, Zhongcheng Life Science Park, Zhongxing Road, Kengzi Street, Pingshan District, Shenzhen, 518000, China
| | - Qian Li
- Geneplus-Beijing, Floor 9, Building 6, Medical Park Road, Zhongguancun Life Science Park, Changping District, Beijing, 102206, China
| | - Jun Li
- Geneplus-Shenzhen, Building B, First Branch, Zhongcheng Life Science Park, Zhongxing Road, Kengzi Street, Pingshan District, Shenzhen, 518000, China
| | - Rong-Rong Chen
- Geneplus-Beijing, Floor 9, Building 6, Medical Park Road, Zhongguancun Life Science Park, Changping District, Beijing, 102206, China
| | - Jin-Min Peng
- Medical ICU, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Beijing, 100730, China.
| | - Bin Du
- Medical ICU, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No.1 Shuaifuyuan, Beijing, 100730, China.
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Valencia I, Lumpuy-Castillo J, Magalhaes G, Sánchez-Ferrer CF, Lorenzo Ó, Peiró C. Mechanisms of endothelial activation, hypercoagulation and thrombosis in COVID-19: a link with diabetes mellitus. Cardiovasc Diabetol 2024; 23:75. [PMID: 38378550 PMCID: PMC10880237 DOI: 10.1186/s12933-023-02097-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/14/2023] [Indexed: 02/22/2024] Open
Abstract
Early since the onset of the COVID-19 pandemic, the medical and scientific community were aware of extra respiratory actions of SARS-CoV-2 infection. Endothelitis, hypercoagulation, and hypofibrinolysis were identified in COVID-19 patients as subsequent responses of endothelial dysfunction. Activation of the endothelial barrier may increase the severity of the disease and contribute to long-COVID syndrome and post-COVID sequelae. Besides, it may cause alterations in primary, secondary, and tertiary hemostasis. Importantly, these responses have been highly decisive in the evolution of infected patients also diagnosed with diabetes mellitus (DM), who showed previous endothelial dysfunction. In this review, we provide an overview of the potential triggers of endothelial activation related to COVID-19 and COVID-19 under diabetic milieu. Several mechanisms are induced by both the viral particle itself and by the subsequent immune-defensive response (i.e., NF-κB/NLRP3 inflammasome pathway, vasoactive peptides, cytokine storm, NETosis, activation of the complement system). Alterations in coagulation mediators such as factor VIII, fibrin, tissue factor, the von Willebrand factor: ADAMST-13 ratio, and the kallikrein-kinin or plasminogen-plasmin systems have been reported. Moreover, an imbalance of thrombotic and thrombolytic (tPA, PAI-I, fibrinogen) factors favors hypercoagulation and hypofibrinolysis. In the context of DM, these mechanisms can be exacerbated leading to higher loss of hemostasis. However, a series of therapeutic strategies targeting the activated endothelium such as specific antibodies or inhibitors against thrombin, key cytokines, factor X, complement system, the kallikrein-kinin system or NETosis, might represent new opportunities to address this hypercoagulable state present in COVID-19 and DM. Antidiabetics may also ameliorate endothelial dysfunction, inflammation, and platelet aggregation. By improving the microvascular pathology in COVID-19 and post-COVID subjects, the associated comorbidities and the risk of mortality could be reduced.
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Affiliation(s)
- Inés Valencia
- Molecular Neuroinflammation and Neuronal Plasticity Research Laboratory, Hospital Universitario Santa Cristina, IIS Hospital Universitario de La Princesa, 28009, Madrid, Spain.
| | - Jairo Lumpuy-Castillo
- Laboratory of Diabetes and Vascular Pathology, IIS-Fundación Jiménez Díaz, 28040, Madrid, Spain
- Spanish Biomedical Research Centre On Diabetes and Associated Metabolic Disorders (CIBERDEM) Network, Madrid, Spain
| | - Giselle Magalhaes
- Department of Pharmacology, School of Medicine, Universidad Autónoma de Madrid, 28029, Madrid, Spain
| | - Carlos F Sánchez-Ferrer
- Department of Pharmacology, School of Medicine, Universidad Autónoma de Madrid, 28029, Madrid, Spain
- Vascular Pharmacology and Metabolism (FARMAVASM), IdiPAZ, Madrid, Spain
| | - Óscar Lorenzo
- Laboratory of Diabetes and Vascular Pathology, IIS-Fundación Jiménez Díaz, 28040, Madrid, Spain.
- Spanish Biomedical Research Centre On Diabetes and Associated Metabolic Disorders (CIBERDEM) Network, Madrid, Spain.
| | - Concepción Peiró
- Department of Pharmacology, School of Medicine, Universidad Autónoma de Madrid, 28029, Madrid, Spain.
- Vascular Pharmacology and Metabolism (FARMAVASM), IdiPAZ, Madrid, Spain.
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6
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Fanelli M, Petrone V, Maracchioni C, Chirico R, Cipriani C, Coppola L, Malagnino V, Teti E, Sorace C, Zordan M, Vitale P, Iannetta M, Balestrieri E, Rasi G, Grelli S, Malergue F, Sarmati L, Minutolo A, Matteucci C. Persistence of circulating CD169+monocytes and HLA-DR downregulation underline the immune response impairment in PASC individuals: the potential contribution of different COVID-19 pandemic waves. CURRENT RESEARCH IN MICROBIAL SCIENCES 2023; 6:100215. [PMID: 38187999 PMCID: PMC10767315 DOI: 10.1016/j.crmicr.2023.100215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024] Open
Abstract
The use of CD169 as a marker of viral infection has been widely discussed in the context of COVID-19, and in particular, its crucial role in the early detection of SARS-CoV-2 infection and its association with the severity and clinical outcome of COVID-19 were demonstrated. COVID-19 patients show relevant systemic alteration and immunological dysfunction that persists in individuals with post-acute sequelae of SARS-CoV-2 infection (PASC). It is critical to implement the characterization of the disease, focusing also on the possible impact of the different COVID-19 waves and the consequent effects found after infection. On this basis, we evaluated by flow cytometry the expression of CD169 and HLA-DR on monocytes from COVID-19 patients and PASC individuals to better elucidate their involvement in immunological dysfunction, also evaluating the possible impact of different pandemic waves. The results confirm CD169 RMFI is a good marker of viral infection. Moreover, COVID-19 patients and PASC individuals showed high percentage of CD169+ monocytes, but low percentage of HLA-DR+ monocytes and the alteration of systemic inflammatory indices. We have also observed alterations of CD169 and HLA-DR expression and indices of inflammation upon different COVID-19 waves. The persistence of specific myeloid subpopulations suggests a role of CD169+ monocytes and HLA-DR in COVID-19 disease and chronic post-infection inflammation, opening new opportunities to evaluate the impact of specific pandemic waves on the immune response impairment and systemic alterations with the perspective to provide new tools to monitoring new variants and diseases associated to emerging respiratory viruses.
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Affiliation(s)
- Marialaura Fanelli
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Vita Petrone
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Christian Maracchioni
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Rossella Chirico
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Chiara Cipriani
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Luigi Coppola
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Vincenzo Malagnino
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Elisabetta Teti
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Chiara Sorace
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Marta Zordan
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Pietro Vitale
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Marco Iannetta
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Emanuela Balestrieri
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Guido Rasi
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Sandro Grelli
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
- Virology Unit, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Fabrice Malergue
- Global Research Organization, Beckman Coulter Life Sciences, Marseille, 13009, France
| | - Loredana Sarmati
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, 00133, Italy
- Infectious Diseases Clinic, Policlinic of Tor Vergata, Rome, 00133, Italy
| | - Antonella Minutolo
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
| | - Claudia Matteucci
- Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier, 1 - 00133, Rome, 00133, Italy
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7
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Liu Y, Xiang C, Que Z, Li C, Wang W, Yin L, Chu C, Zhou Y. Neutrophil heterogeneity and aging: implications for COVID-19 and wound healing. Front Immunol 2023; 14:1201651. [PMID: 38090596 PMCID: PMC10715311 DOI: 10.3389/fimmu.2023.1201651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/02/2023] [Indexed: 12/18/2023] Open
Abstract
Neutrophils play a critical role in the immune response to infection and tissue injury. However, recent studies have shown that neutrophils are a heterogeneous population with distinct subtypes that differ in their functional properties. Moreover, aging can alter neutrophil function and exacerbate immune dysregulation. In this review, we discuss the concept of neutrophil heterogeneity and how it may be affected by aging. We then examine the implications of neutrophil heterogeneity and aging for COVID-19 pathogenesis and wound healing. Specifically, we summarize the evidence for neutrophil involvement in COVID-19 and the potential mechanisms underlying neutrophil recruitment and activation in this disease. We also review the literature on the role of neutrophils in the wound healing process and how aging and neutrophil heterogeneity may impact wound healing outcomes. Finally, we discuss the potential for neutrophil-targeted therapies to improve clinical outcomes in COVID-19 and wound healing.
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Affiliation(s)
| | | | | | | | - Wen Wang
- Department of Hematology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China; Medical Cosmetic Center, Chengdu Second People's Hospital; Minhang Hospital, Fudan University, Shanghai, China
| | - Lijuan Yin
- Department of Hematology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China; Medical Cosmetic Center, Chengdu Second People's Hospital; Minhang Hospital, Fudan University, Shanghai, China
| | - Chenyu Chu
- Department of Hematology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China; Medical Cosmetic Center, Chengdu Second People's Hospital; Minhang Hospital, Fudan University, Shanghai, China
| | - Yin Zhou
- Department of Hematology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China; Medical Cosmetic Center, Chengdu Second People's Hospital; Minhang Hospital, Fudan University, Shanghai, China
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8
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Du T, Gao C, Lu S, Liu Q, Yang Y, Yu W, Li W, Qiao Sun Y, Tang C, Wang J, Gao J, Zhang Y, Luo F, Yang Y, Yang YG, Peng X. Differential Transcriptomic Landscapes of SARS-CoV-2 Variants in Multiple Organs from Infected Rhesus Macaques. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:1014-1029. [PMID: 37451436 PMCID: PMC10928377 DOI: 10.1016/j.gpb.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 04/27/2023] [Accepted: 06/04/2023] [Indexed: 07/18/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused the persistent coronavirus disease 2019 (COVID-19) pandemic, which has resulted in millions of deaths worldwide and brought an enormous public health and global economic burden. The recurring global wave of infections has been exacerbated by growing variants of SARS-CoV-2. In this study, the virological characteristics of the original SARS-CoV-2 strain and its variants of concern (VOCs; including Alpha, Beta, and Delta) in vitro, as well as differential transcriptomic landscapes in multiple organs (lung, right ventricle, blood, cerebral cortex, and cerebellum) from the infected rhesus macaques, were elucidated. The original strain of SARS-CoV-2 caused a stronger innate immune response in host cells, and its VOCs markedly increased the levels of subgenomic RNAs, such as N, Orf9b, Orf6, and Orf7ab, which are known as the innate immune antagonists and the inhibitors of antiviral factors. Intriguingly, the original SARS-CoV-2 strain and Alpha variant induced larger alteration of RNA abundance in tissues of rhesus monkeys than Beta and Delta variants did. Moreover, a hyperinflammatory state and active immune response were shown in the right ventricles of rhesus monkeys by the up-regulation of inflammation- and immune-related RNAs. Furthermore, peripheral blood may mediate signaling transmission among tissues to coordinate the molecular changes in the infected individuals. Collectively, these data provide insights into the pathogenesis of COVID-19 at the early stage of infection by the original SARS-CoV-2 strain and its VOCs.
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Affiliation(s)
- Tingfu Du
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China; State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Chunchun Gao
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuaiyao Lu
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China
| | - Qianlan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yun Yang
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China
| | - Wenhai Yu
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China
| | - Wenjie Li
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Yong Qiao Sun
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Cong Tang
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China
| | - Junbin Wang
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China
| | - Jiahong Gao
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China
| | - Yong Zhang
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China
| | - Fangyu Luo
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China
| | - Ying Yang
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China; Institute of Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China.
| | - Yun-Gui Yang
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China; Institute of Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China.
| | - Xiaozhong Peng
- National Kunming High-level Biosafety Primate Research Center, Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, China; State Key Laboratory of Medical Molecular Biology, Department of Molecular Biology and Biochemistry, Institute of Basic Medical Sciences, Medical Primate Research Center, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China; Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
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9
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Andalib KMS, Ahmed A, Habib A. Omics data analysis reveals common molecular basis of small cell lung cancer and COVID-19. J Biomol Struct Dyn 2023:1-16. [PMID: 37708006 DOI: 10.1080/07391102.2023.2257803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/23/2023] [Indexed: 09/16/2023]
Abstract
The impact of COVID-19 infection on individuals with small cell lung cancer (SCLC) poses a serious threat. Unfortunately, the molecular basis of this severe comorbidity has yet to be elucidated. The present study addresses this gap utilizing publicly available omics data of COVID-19 and SCLC to explore the key molecules and associated pathways involved in the convergence of these diseases. Findings revealed 402 genes, that exhibited differential expression patterns in SCLC patients and also play a pivotal role in COVID-19 pathogenesis. Subsequent functional enrichment analyses identified relevant ontologies and pathways that are significantly associated with these genes, revealing important insights into their potential biological, molecular and cellular functions. The protein-protein interaction network, constructed under four combinatorial topological assessments, highlighted SMAD3, CAV1, PIK3R1, and FN1 as the primary components to this comorbidity. Our results suggest that these components significantly regulate this cross-talk triggering the PI3K-AKT and TGF-β signaling pathways. Lastly, this study made a multi-step computational attempt and identified corylifol A and ginkgetin from natural sources that can potentially inhibit these components. Therefore, the outcomes of this study offer novel perspectives on the common molecular mechanisms underlying SCLC and COVID-19 and present future opportunities for drug development.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- K M Salim Andalib
- Biotechnology and Genetic Engineering Discipline, Life Science School, Khulna University, Khulna, Bangladesh
| | - Asif Ahmed
- Biotechnology and Genetic Engineering Discipline, Life Science School, Khulna University, Khulna, Bangladesh
| | - Ahsan Habib
- Biotechnology and Genetic Engineering Discipline, Life Science School, Khulna University, Khulna, Bangladesh
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10
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Ren JX, Gao Q, Zhou XC, Chen L, Guo W, Feng KY, Lu L, Huang T, Cai YD. Identification of Gene Markers Associated with COVID-19 Severity and Recovery in Different Immune Cell Subtypes. BIOLOGY 2023; 12:947. [PMID: 37508378 PMCID: PMC10376631 DOI: 10.3390/biology12070947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 06/20/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023]
Abstract
As COVID-19 develops, dynamic changes occur in the patient's immune system. Changes in molecular levels in different immune cells can reflect the course of COVID-19. This study aims to uncover the molecular characteristics of different immune cell subpopulations at different stages of COVID-19. We designed a machine learning workflow to analyze scRNA-seq data of three immune cell types (B, T, and myeloid cells) in four levels of COVID-19 severity/outcome. The datasets for three cell types included 403,700 B-cell, 634,595 T-cell, and 346,547 myeloid cell samples. Each cell subtype was divided into four groups, control, convalescence, progression mild/moderate, and progression severe/critical, and each immune cell contained 27,943 gene features. A feature analysis procedure was applied to the data of each cell type. Irrelevant features were first excluded according to their relevance to the target variable measured by mutual information. Then, four ranking algorithms (last absolute shrinkage and selection operator, light gradient boosting machine, Monte Carlo feature selection, and max-relevance and min-redundancy) were adopted to analyze the remaining features, resulting in four feature lists. These lists were fed into the incremental feature selection, incorporating three classification algorithms (decision tree, k-nearest neighbor, and random forest) to extract key gene features and construct classifiers with superior performance. The results confirmed that genes such as PFN1, RPS26, and FTH1 played important roles in SARS-CoV-2 infection. These findings provide a useful reference for the understanding of the ongoing effect of COVID-19 development on the immune system.
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Affiliation(s)
- Jing-Xin Ren
- School of Life Sciences, Shanghai University, Shanghai 200444, China
| | - Qian Gao
- Department of Pharmacy, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Xiao-Chao Zhou
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Lei Chen
- College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
| | - Wei Guo
- Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine (SJTUSM) & Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai 200030, China
| | - Kai-Yan Feng
- Department of Computer Science, Guangdong AIB Polytechnic College, Guangzhou 510507, China
| | - Lin Lu
- Department of Radiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Tao Huang
- Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yu-Dong Cai
- School of Life Sciences, Shanghai University, Shanghai 200444, China
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11
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Qian J, Liao J, Liu Z, Chi Y, Fang Y, Zheng Y, Shao X, Liu B, Cui Y, Guo W, Hu Y, Bao H, Yang P, Chen Q, Li M, Zhang B, Fan X. Reconstruction of the cell pseudo-space from single-cell RNA sequencing data with scSpace. Nat Commun 2023; 14:2484. [PMID: 37120608 PMCID: PMC10148590 DOI: 10.1038/s41467-023-38121-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 04/17/2023] [Indexed: 05/01/2023] Open
Abstract
Tissues are highly complicated with spatial heterogeneity in gene expression. However, the cutting-edge single-cell RNA-seq technology eliminates the spatial information of individual cells, which contributes to the characterization of cell identities. Herein, we propose single-cell spatial position associated co-embeddings (scSpace), an integrative method to identify spatially variable cell subpopulations by reconstructing cells onto a pseudo-space with spatial transcriptome references (Visium, STARmap, Slide-seq, etc.). We benchmark scSpace with both simulated and biological datasets, and demonstrate that scSpace can accurately and robustly identify spatially variated cell subpopulations. When employed to reconstruct the spatial architectures of complex tissue such as the brain cortex, the small intestinal villus, the liver lobule, the kidney, the embryonic heart, and others, scSpace shows promising performance on revealing the pairwise cellular spatial association within single-cell data. The application of scSpace in melanoma and COVID-19 exhibits a broad prospect in the discovery of spatial therapeutic markers.
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Affiliation(s)
- Jingyang Qian
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Jie Liao
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China.
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China.
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China.
| | - Ziqi Liu
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
| | - Ying Chi
- DAMO Academy, Alibaba group, 310052, Hangzhou, China
| | - Yin Fang
- College of Computer Science and Technology, Zhejiang University, 310013, Hangzhou, China
| | - Yanrong Zheng
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 310053, Hangzhou, China
| | - Xin Shao
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, 310006, Hangzhou, China
| | - Bingqi Liu
- School of Mathematical Sciences, Zhejiang University, 310058, Hangzhou, China
| | - Yongjin Cui
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Wenbo Guo
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Yining Hu
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Hudong Bao
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
| | - Penghui Yang
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Qian Chen
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China
| | - Mingxiao Li
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029, Beijing, China
| | - Bing Zhang
- DAMO Academy, Alibaba group, 310052, Hangzhou, China.
- iMedicine Lab, Alibaba-Zhejiang University Joint Research Center for Future Digital Healthcare, 310058, Hangzhou, China.
- Alibaba Cloud, Alibaba Group, 310052, Hangzhou, China.
| | - Xiaohui Fan
- College of Pharmaceutical Sciences, Zhejiang University, 310058, Hangzhou, China.
- Future Health Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314102, Jiaxing, China.
- National Key Laboratory of Modern Chinese Medicine Innovation and Manufacturing, 310058, Hangzhou, China.
- iMedicine Lab, Alibaba-Zhejiang University Joint Research Center for Future Digital Healthcare, 310058, Hangzhou, China.
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12
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Affiliation(s)
- Furong Qi
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, School of Medicine, The Second Affiliated Hospital Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Dapeng Li
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, School of Medicine, The Second Affiliated Hospital Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - Zheng Zhang
- Institute for Hepatology, National Clinical Research Center for Infectious Disease, School of Medicine, The Second Affiliated Hospital Southern University of Science and Technology, Shenzhen, Guangdong Province, China.
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13
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Palma Medina LM, Babačić H, Dzidic M, Parke Å, Garcia M, Maleki KT, Unge C, Lourda M, Kvedaraite E, Chen P, Muvva JR, Cornillet M, Emgård J, Moll K, Michaëlsson J, Flodström-Tullberg M, Brighenti S, Buggert M, Mjösberg J, Malmberg KJ, Sandberg JK, Gredmark-Russ S, Rooyackers O, Svensson M, Chambers BJ, Eriksson LI, Pernemalm M, Björkström NK, Aleman S, Ljunggren HG, Klingström J, Strålin K, Norrby-Teglund A. Targeted plasma proteomics reveals signatures discriminating COVID-19 from sepsis with pneumonia. Respir Res 2023; 24:62. [PMID: 36829233 PMCID: PMC9950694 DOI: 10.1186/s12931-023-02364-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 02/10/2023] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND COVID-19 remains a major public health challenge, requiring the development of tools to improve diagnosis and inform therapeutic decisions. As dysregulated inflammation and coagulation responses have been implicated in the pathophysiology of COVID-19 and sepsis, we studied their plasma proteome profiles to delineate similarities from specific features. METHODS We measured 276 plasma proteins involved in Inflammation, organ damage, immune response and coagulation in healthy controls, COVID-19 patients during acute and convalescence phase, and sepsis patients; the latter included (i) community-acquired pneumonia (CAP) caused by Influenza, (ii) bacterial CAP, (iii) non-pneumonia sepsis, and (iv) septic shock patients. RESULTS We identified a core response to infection consisting of 42 proteins altered in both COVID-19 and sepsis, although higher levels of cytokine storm-associated proteins were evident in sepsis. Furthermore, microbiologic etiology and clinical endotypes were linked to unique signatures. Finally, through machine learning, we identified biomarkers, such as TRIM21, PTN and CASP8, that accurately differentiated COVID-19 from CAP-sepsis with higher accuracy than standard clinical markers. CONCLUSIONS This study extends the understanding of host responses underlying sepsis and COVID-19, indicating varying disease mechanisms with unique signatures. These diagnostic and severity signatures are candidates for the development of personalized management of COVID-19 and sepsis.
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Affiliation(s)
- Laura M. Palma Medina
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Haris Babačić
- grid.4714.60000 0004 1937 0626Science for Life Laboratory, Department of Oncology and Pathology, Karolinska Institute, Stockholm, Sweden
| | - Majda Dzidic
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Åsa Parke
- grid.4714.60000 0004 1937 0626Department of Medicine Huddinge, Karolinska Institute, Stockholm, Sweden ,grid.24381.3c0000 0000 9241 5705Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Marina Garcia
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Kimia T. Maleki
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Christian Unge
- grid.4714.60000 0004 1937 0626Department of Medicine Huddinge, Karolinska Institute, Stockholm, Sweden ,grid.24381.3c0000 0000 9241 5705Functional Area of Emergency Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Magda Lourda
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden ,grid.4714.60000 0004 1937 0626Childhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
| | - Egle Kvedaraite
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden ,grid.24381.3c0000 0000 9241 5705Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Puran Chen
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Jagadeeswara Rao Muvva
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Martin Cornillet
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Johanna Emgård
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Kirsten Moll
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | | | - Jakob Michaëlsson
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Malin Flodström-Tullberg
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Susanna Brighenti
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Marcus Buggert
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Jenny Mjösberg
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Karl-Johan Malmberg
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Johan K. Sandberg
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Sara Gredmark-Russ
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden ,grid.24381.3c0000 0000 9241 5705Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden ,The Laboratory for Molecular Infection Medicine Sweden (MIMS), Umeå, Sweden
| | - Olav Rooyackers
- grid.24381.3c0000 0000 9241 5705Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden ,grid.4714.60000 0004 1937 0626Division for Anesthesiology and Intensive Care, Department of Clinical Interventions and Technology CLINTEC, Karolinska Institutet, Stockholm, Sweden
| | - Mattias Svensson
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Benedict J. Chambers
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Lars I. Eriksson
- grid.24381.3c0000 0000 9241 5705Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
| | - Maria Pernemalm
- grid.4714.60000 0004 1937 0626Science for Life Laboratory, Department of Oncology and Pathology, Karolinska Institute, Stockholm, Sweden
| | - Niklas K. Björkström
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Soo Aleman
- grid.4714.60000 0004 1937 0626Department of Medicine Huddinge, Karolinska Institute, Stockholm, Sweden ,grid.24381.3c0000 0000 9241 5705Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Hans-Gustaf Ljunggren
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Jonas Klingström
- grid.24381.3c0000 0000 9241 5705Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden
| | - Kristoffer Strålin
- grid.4714.60000 0004 1937 0626Department of Medicine Huddinge, Karolinska Institute, Stockholm, Sweden ,grid.24381.3c0000 0000 9241 5705Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Norrby-Teglund
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52, Stockholm, Sweden.
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14
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Karki R, Kanneganti TD. Innate immunity, cytokine storm, and inflammatory cell death in COVID-19. J Transl Med 2022; 20:542. [PMID: 36419185 PMCID: PMC9682745 DOI: 10.1186/s12967-022-03767-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 11/09/2022] [Indexed: 11/24/2022] Open
Abstract
The innate immune system serves as the first line of defense against invading pathogens; however, dysregulated innate immune responses can induce aberrant inflammation that is detrimental to the host. Therefore, careful innate immune regulation is critical during infections. The coronavirus disease 2019 (COVID-19) pandemic is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has resulted in global morbidity and mortality as well as socio-economic stresses. Innate immune sensing of SARS-CoV-2 by multiple host cell pattern recognition receptors leads to the production of various pro-inflammatory cytokines and the induction of inflammatory cell death. These processes can contribute to cytokine storm, tissue damage, and acute respiratory distress syndrome. Here, we discuss the sensing of SARS-CoV-2 to induce innate immune activation and the contribution of this innate immune signaling in the development and severity of COVID-19. In addition, we provide a conceptual framework for innate immunity driving cytokine storm and organ damage in patients with severe COVID-19. A better understanding of the molecular mechanisms regulated by innate immunity is needed for the development of targeted modalities that can improve patient outcomes by mitigating severe disease.
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Affiliation(s)
- Rajendra Karki
- Department of Immunology, St. Jude Children's Research Hospital, MS #351, 262 Danny Thomas Place, Memphis, TN, 38105-3678, USA
| | - Thirumala-Devi Kanneganti
- Department of Immunology, St. Jude Children's Research Hospital, MS #351, 262 Danny Thomas Place, Memphis, TN, 38105-3678, USA.
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15
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Wang C, Yu R, Zhang S, Zhao Y, Qi C, Zhu Z, Chen X, Bi J, Xu P, Cheng L, Zhang X. Genome-wide Mendelian randomization and single-cell RNA sequencing analyses identify the causal effects of COVID-19 on 41 cytokines. Brief Funct Genomics 2022; 21:423-432. [PMID: 36281737 DOI: 10.1093/bfgp/elac033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 09/08/2022] [Accepted: 09/21/2022] [Indexed: 12/15/2022] Open
Abstract
The elevated levels of inflammatory cytokines have attracted much attention during the treatment of COVID-19 patients. The conclusions of current observational studies are often controversial in terms of the causal effects of COVID-19 on various cytokines because of the confounding factors involving underlying diseases. To resolve this problem, we conducted a Mendelian randomization analysis by integrating the GWAS data of COVID-19 and 41 cytokines. As a result, the levels of 2 cytokines were identified to be promoted by COVID-19 and had unsignificant pleiotropy. In comparison, the levels of 10 cytokines were found to be inhibited and had unsignificant pleiotropy. Among down-regulated cytokines, CCL2, CCL3 and CCL7 were members of CC chemokine family. We then explored the potential molecular mechanism for a significant causal association at a single cell resolution based on single-cell RNA data, and discovered the suppression of CCL3 and the inhibition of CCL3-CCR1 interaction in classical monocytes (CMs) of COVID-19 patients. Our findings may indicate that the capability of COVID-19 in decreasing the chemotaxis of lymphocytes by inhibiting the CCL3-CCR1 interaction in CMs.
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Affiliation(s)
- Chao Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081
| | - Rui Yu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081
| | - Sainan Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081
| | - Yue Zhao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081
| | - Changlu Qi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081
| | - Zijun Zhu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081
| | - Xinyu Chen
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081
| | - Jianxing Bi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081
| | - Peigang Xu
- Chongqing Research Institute of Harbin Institute of Technology
| | - Liang Cheng
- NHC and CAMS Key Laboratory of Molecular Probe and Targeted Theranostics, Harbin Medical University, Harbin, Heilongjiang, China, 150028.,College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China, 150081
| | - Xue Zhang
- NHC and CAMS Key Laboratory of Molecular Probe and Targeted Theranostics, Harbin Medical University, Harbin, Heilongjiang, China, 150028.,McKusick-Zhang Center for Genetic Medicine, Peking Union Medical College, Beijing, China, 100005
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16
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Qin R, Kurz E, Chen S, Zeck B, Chiribogas L, Jackson D, Herchen A, Attia T, Carlock M, Rapkiewicz A, Bar-Sagi D, Ritchie B, Ross TM, Mahal LK. α2,6-Sialylation is Upregulated in Severe COVID-19 Implicating the Complement Cascade. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.06.06.22275981. [PMID: 35702159 PMCID: PMC9196116 DOI: 10.1101/2022.06.06.22275981] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Better understanding of the mechanisms of COVID-19 severity is desperately needed in current times. Although hyper-inflammation drives severe COVID-19, precise mechanisms triggering this cascade and what role glycosylation might play therein is unknown. Here we report the first high-throughput glycomic analysis of COVID-19 plasma samples and autopsy tissues. We find α2,6-sialylation is upregulated in plasma of patients with severe COVID-19 and in the lung. This glycan motif is enriched on members of the complement cascade, which show higher levels of sialylation in severe COVID-19. In the lung tissue, we observe increased complement deposition, associated with elevated α2,6-sialylation levels, corresponding to elevated markers of poor prognosis (IL-6) and fibrotic response. We also observe upregulation of the α2,6-sialylation enzyme ST6GAL1 in patients who succumbed to COVID-19. Our work identifies a heretofore undescribed relationship between sialylation and complement in severe COVID-19, potentially informing future therapeutic development.
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Affiliation(s)
- Rui Qin
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
| | - Emma Kurz
- Department of Cell Biology, NYU Grossman School of Medicine, 550 1st Avenue, New York, New York, USA
| | - Shuhui Chen
- Department of Chemistry, Biomedical Research Institute, New York University, New York, New York, USA
| | - Briana Zeck
- Center for Biospecimen Research and Development, NYU Langone, New York, New York, USA
| | - Luis Chiribogas
- Center for Biospecimen Research and Development, NYU Langone, New York, New York, USA
| | - Dana Jackson
- University of Alberta Hospital, Edmonton, Alberta, Canada
| | - Alex Herchen
- University of Alberta Hospital, Edmonton, Alberta, Canada
| | - Tyson Attia
- University of Alberta Hospital, Edmonton, Alberta, Canada
| | - Michael Carlock
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, USA
| | - Amy Rapkiewicz
- Department of Pathology, NYU Long Island School of Medicine, Mineola, NY, USA
| | - Dafna Bar-Sagi
- Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, New York, USA
| | - Bruce Ritchie
- University of Alberta Hospital, Edmonton, Alberta, Canada
| | - Ted M. Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, USA
| | - Lara K. Mahal
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
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