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Tsukalov I, Sánchez-Cerrillo I, Rajas O, Avalos E, Iturricastillo G, Esparcia L, Buzón MJ, Genescà M, Scagnetti C, Popova O, Martin-Cófreces N, Calvet-Mirabent M, Marcos-Jimenez A, Martínez-Fleta P, Delgado-Arévalo C, de Los Santos I, Muñoz-Calleja C, Calzada MJ, González Álvaro I, Palacios-Calvo J, Alfranca A, Ancochea J, Sánchez-Madrid F, Martin-Gayo E. NFκB and NLRP3/NLRC4 inflammasomes regulate differentiation, activation and functional properties of monocytes in response to distinct SARS-CoV-2 proteins. Nat Commun 2024; 15:2100. [PMID: 38453949 PMCID: PMC10920883 DOI: 10.1038/s41467-024-46322-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 02/22/2024] [Indexed: 03/09/2024] Open
Abstract
Increased recruitment of transitional and non-classical monocytes in the lung during SARS-CoV-2 infection is associated with COVID-19 severity. However, whether specific innate sensors mediate the activation or differentiation of monocytes in response to different SARS-CoV-2 proteins remain poorly characterized. Here, we show that SARS-CoV-2 Spike 1 but not nucleoprotein induce differentiation of monocytes into transitional or non-classical subsets from both peripheral blood and COVID-19 bronchoalveolar lavage samples in a NFκB-dependent manner, but this process does not require inflammasome activation. However, NLRP3 and NLRC4 differentially regulated CD86 expression in monocytes in response to Spike 1 and Nucleoprotein, respectively. Moreover, monocytes exposed to Spike 1 induce significantly higher proportions of Th1 and Th17 CD4 + T cells. In contrast, monocytes exposed to Nucleoprotein reduce the degranulation of CD8 + T cells from severe COVID-19 patients. Our study provides insights in the differential impact of innate sensors in regulating monocytes in response to different SARS-CoV-2 proteins, which might be useful to better understand COVID-19 immunopathology and identify therapeutic targets.
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Affiliation(s)
- Ilya Tsukalov
- Medicine Faculty, Universidad Autónoma de Madrid, Madrid, Spain
| | - Ildefonso Sánchez-Cerrillo
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
- CIBER Infectious Diseases (CIBERINFECC), Instituto de Salud Carlos III, Madrid, Spain
| | - Olga Rajas
- Pneumology Unit from Hospital Universitario La Princesa, Madrid, Spain
| | - Elena Avalos
- Pneumology Unit from Hospital Universitario La Princesa, Madrid, Spain
| | | | - Laura Esparcia
- Medicine Faculty, Universidad Autónoma de Madrid, Madrid, Spain
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
| | - María José Buzón
- Infectious Diseases Department, Institut de Recerca Hospital Univesritari Vall d'Hebrón (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Meritxell Genescà
- Infectious Diseases Department, Institut de Recerca Hospital Univesritari Vall d'Hebrón (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Camila Scagnetti
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
| | - Olga Popova
- Medicine Faculty, Universidad Autónoma de Madrid, Madrid, Spain
| | - Noa Martin-Cófreces
- Medicine Faculty, Universidad Autónoma de Madrid, Madrid, Spain
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
| | - Marta Calvet-Mirabent
- Medicine Faculty, Universidad Autónoma de Madrid, Madrid, Spain
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
| | - Ana Marcos-Jimenez
- Medicine Faculty, Universidad Autónoma de Madrid, Madrid, Spain
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
| | - Pedro Martínez-Fleta
- Medicine Faculty, Universidad Autónoma de Madrid, Madrid, Spain
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
| | - Cristina Delgado-Arévalo
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
| | - Ignacio de Los Santos
- CIBER Infectious Diseases (CIBERINFECC), Instituto de Salud Carlos III, Madrid, Spain
- Infectious Diseases Unit from Hospital Universitario La Princesa, Madrid, Spain
| | - Cecilia Muñoz-Calleja
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
- CIBER Infectious Diseases (CIBERINFECC), Instituto de Salud Carlos III, Madrid, Spain
| | - María José Calzada
- Medicine Faculty, Universidad Autónoma de Madrid, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Isidoro González Álvaro
- Rheumatology Department from Hospital Universitario La Princesa. Instituto de Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
| | - José Palacios-Calvo
- Department of Pathology, Hospital Universitario Ramón y Cajal. Instituto Ramón y Cajal de Investigaciones Sanitarias (IRYCIS), Universidad de Alcalá. Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Arantzazu Alfranca
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
- CIBER Cardiovascular, Instituto de Salud Carlos III, Madrid, Spain
| | - Julio Ancochea
- Pneumology Unit from Hospital Universitario La Princesa, Madrid, Spain
| | - Francisco Sánchez-Madrid
- Medicine Faculty, Universidad Autónoma de Madrid, Madrid, Spain
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain
- CIBER Cardiovascular, Instituto de Salud Carlos III, Madrid, Spain
| | - Enrique Martin-Gayo
- Medicine Faculty, Universidad Autónoma de Madrid, Madrid, Spain.
- Immunology Unit from Hospital Universitario La Princesa, Instituto Investigación Sanitaria-Princesa IIS-IP, Madrid, Spain.
- CIBER Infectious Diseases (CIBERINFECC), Instituto de Salud Carlos III, Madrid, Spain.
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2
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Naik N, Patel M, Sen R. Developmental Impacts of Epigenetics and Metabolism in COVID-19. J Dev Biol 2024; 12:9. [PMID: 38390960 PMCID: PMC10885083 DOI: 10.3390/jdb12010009] [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: 12/31/2023] [Revised: 02/04/2024] [Accepted: 02/06/2024] [Indexed: 02/24/2024] Open
Abstract
Developmental biology is intricately regulated by epigenetics and metabolism but the mechanisms are not completely understood. The situation becomes even more complicated during diseases where all three phenomena are dysregulated. A salient example is COVID-19, where the death toll exceeded 6.96 million in 4 years, while the virus continues to mutate into different variants and infect people. Early evidence during the pandemic showed that the host's immune and inflammatory responses to COVID-19 (like the cytokine storm) impacted the host's metabolism, causing damage to the host's organs and overall physiology. The involvement of angiotensin-converting enzyme 2 (ACE2), the pivotal host receptor for the SARS-CoV-2 virus, was identified and linked to epigenetic abnormalities along with other contributing factors. Recently, studies have revealed stronger connections between epigenetics and metabolism in COVID-19 that impact development and accelerate aging. Patients manifest systemic toxicity, immune dysfunction and multi-organ failure. Single-cell multiomics and other state-of-the-art high-throughput studies are only just beginning to demonstrate the extent of dysregulation and damage. As epigenetics and metabolism directly impact development, there is a crucial need for research implementing cutting-edge technology, next-generation sequencing, bioinformatics analysis, the identification of biomarkers and clinical trials to help with prevention and therapeutic interventions against similar threats in the future.
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Affiliation(s)
- Noopur Naik
- Department of Molecular, Cellular & Developmental Biology, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Mansi Patel
- Institute of Genomics and Integrative Biology, Delhi 110007, India
| | - Rwik Sen
- Active Motif, Inc., Carlsbad, CA 92008, USA
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3
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Hurst JH, Mohan AA, Dalapati T, George IA, Aquino JN, Lugo DJ, Pfeiffer TS, Rodriguez J, Rotta AT, Turner NA, Burke TW, McClain MT, Henao R, DeMarco CT, Louzao R, Denny TN, Walsh KM, Xu Z, Mejias A, Ramilo O, Woods CW, Kelly MS. Differential host responses within the upper respiratory tract and peripheral blood of children and adults with SARS-CoV-2 infection. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.31.23293337. [PMID: 37577568 PMCID: PMC10418569 DOI: 10.1101/2023.07.31.23293337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Age is among the strongest risk factors for severe outcomes from SARS-CoV-2 infection. We sought to evaluate associations between age and both mucosal and systemic host responses to SARS-CoV-2 infection. We profiled the upper respiratory tract (URT) and peripheral blood transcriptomes of 201 participants (age range of 1 week to 83 years), including 137 non-hospitalized individuals with mild SARS-CoV-2 infection and 64 uninfected individuals. Among uninfected children and adolescents, young age was associated with upregulation of innate and adaptive immune pathways within the URT, suggesting that young children are primed to mount robust mucosal immune responses to exogeneous respiratory pathogens. SARS-CoV-2 infection was associated with broad induction of innate and adaptive immune responses within the URT of children and adolescents. Peripheral blood responses among SARS-CoV-2-infected children and adolescents were dominated by interferon pathways, while upregulation of myeloid activation, inflammatory, and coagulation pathways was observed only in adults. Systemic symptoms among SARS-CoV-2-infected subjects were associated with blunted innate and adaptive immune responses in the URT and upregulation of many of these same pathways within peripheral blood. Finally, within individuals, robust URT immune responses were correlated with decreased peripheral immune activation, suggesting that effective immune responses in the URT may promote local viral control and limit systemic immune activation and symptoms. These findings demonstrate that there are differences in immune responses to SARS-CoV-2 across the lifespan, including between young children and adolescents, and suggest that these varied host responses contribute to observed differences in the clinical presentation of SARS-CoV-2 infection by age. One Sentence Summary Age is associated with distinct upper respiratory and peripheral blood transcriptional responses among children and adults with SARS-CoV-2 infection.
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Wilcox DR, Rudmann EA, Ye E, Noori A, Magdamo C, Jain A, Alabsi H, Foy B, Triant VA, Robbins GK, Westover MB, Das S, Mukerji SS. Cognitive concerns are a risk factor for mortality in people with HIV and coronavirus disease 2019. AIDS 2023; 37:1565-1571. [PMID: 37195278 PMCID: PMC10355333 DOI: 10.1097/qad.0000000000003595] [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: 12/05/2022] [Accepted: 05/03/2023] [Indexed: 05/18/2023]
Abstract
BACKGROUND Data supporting dementia as a risk factor for coronavirus disease 2019 (COVID-19) mortality relied on ICD-10 codes, yet nearly 40% of individuals with probable dementia lack a formal diagnosis. Dementia coding is not well established for people with HIV (PWH), and its reliance may affect risk assessment. METHODS This retrospective cohort analysis of PWH with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) PCR positivity includes comparisons to people without HIV (PWoH), matched by age, sex, race, and zipcode. Primary exposures were dementia diagnosis, by International Classification of Diseases (ICD)-10 codes, and cognitive concerns, defined as possible cognitive impairment up to 12 months before COVID-19 diagnosis after clinical review of notes from the electronic health record. Logistic regression models assessed the effect of dementia and cognitive concerns on odds of death [odds ratio (OR); 95% CI (95% confidence interval)]; models adjusted for VACS Index 2.0. RESULTS Sixty-four PWH were identified out of 14 129 patients with SARS-CoV-2 infection and matched to 463 PWoH. Compared with PWoH, PWH had a higher prevalence of dementia (15.6% vs. 6%, P = 0.01) and cognitive concerns (21.9% vs. 15.8%, P = 0.04). Death was more frequent in PWH ( P < 0.01). Adjusted for VACS Index 2.0, dementia [2.4 (1.0-5.8), P = 0.05] and cognitive concerns [2.4 (1.1-5.3), P = 0.03] were associated with increased odds of death. In PWH, the association between cognitive concern and death trended towards statistical significance [3.92 (0.81-20.19), P = 0.09]; there was no association with dementia. CONCLUSION Cognitive status assessments are important for care in COVID-19, especially among PWH. Larger studies should validate findings and determine long-term COVID-19 consequences in PWH with preexisting cognitive deficits.
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Affiliation(s)
- Douglas R. Wilcox
- Department of Neurology, Massachusetts General Hospital
- Department of Neurology, Brigham and Women's Hospital
- Department of Neurology, Harvard Medical School
| | - Emily A. Rudmann
- Neuroimmunology and Neuro-Infectious Diseases Division, Department of Neurology, Massachusetts General Hospital, Boston
- Division of Infectious Diseases, Vaccine and Immunotherapy Center, Massachusetts General Hospital, Charlestown
| | - Elissa Ye
- Department of Neurology, Massachusetts General Hospital
| | - Ayush Noori
- Department of Neurology, Massachusetts General Hospital
| | - Colin Magdamo
- Department of Neurology, Massachusetts General Hospital
| | - Aayushee Jain
- Department of Neurology, Massachusetts General Hospital
| | - Haitham Alabsi
- Department of Neurology, Massachusetts General Hospital
- Department of Neurology, Harvard Medical School
| | - Brody Foy
- Center for Systems Biology, Massachusetts General Hospital, and Department of Systems Biology, Harvard Medical School
| | - Virginia A. Triant
- Division of Infectious Diseases
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | - M. Brandon Westover
- Department of Neurology, Massachusetts General Hospital
- Department of Neurology, Harvard Medical School
| | - Sudeshna Das
- Department of Neurology, Massachusetts General Hospital
- Department of Neurology, Harvard Medical School
| | - Shibani S. Mukerji
- Neuroimmunology and Neuro-Infectious Diseases Division, Department of Neurology, Massachusetts General Hospital, Boston
- Division of Infectious Diseases, Vaccine and Immunotherapy Center, Massachusetts General Hospital, Charlestown
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5
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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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6
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Luo J, Lu J, Zeng J, Ma Y, Gong Q, Wang Z, Zhang X, Quan J. Single-cell RNA analysis of chemokine expression in heterogeneous CD14 + monocytes with lipopolysaccharide-induced bone resorption. Exp Cell Res 2022; 420:113343. [PMID: 36088998 DOI: 10.1016/j.yexcr.2022.113343] [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: 04/10/2022] [Revised: 08/31/2022] [Accepted: 09/04/2022] [Indexed: 11/27/2022]
Abstract
Lipopolysaccharide (LPS)-induced bone resorption has normally been found in inflammatory bone diseases, but the underlying mechanism is currently unclear. Since LPS binds to CD14 and activates Toll-like receptor 4 (TLR4) in monocytes, the present study focused on CD14+ monocytes and observed their responses after LPS treatment during the progression of local bone destruction. CD14+ monocytes were obtained from human peripheral blood mononuclear cells (PBMCs) by magnetic cell separation (MACS), and their classification was confirmed by fluorescence-activated cell sorting (FACS). Single-cell RNA sequencing (scRNA-seq) was further utilized to analyze their subpopulations, and the results showed that physiological CD14+ monocytes were heterogeneous and divided into 6 subsets, that could be easily agitated. After priming with a suitable concentration of LPS, heterogeneous CD14+ monocytes became pathological and expressed a large number of chemokines as a "cascade effect". Some of these chemokines have been validated in an animal model of mouse calvarial bone invasion. Taken together, our research has linked enhanced chemokine expression with stimulation of heterogeneous CD14+ monocytes, and indicated that inflammatory responses caused by microbiome infection are responsible for the recruitment and mobilization of CD14+ monocytes into bone resorption sites, which may explain the pathogenesis of LPS-associated bone diseases.
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Affiliation(s)
- Junpan Luo
- Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University and Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510080, PR China
| | - Jiarui Lu
- Department of Stomatology, The Eighth Affiliated Hospital, Sun Yat-sen University, 3025 Shennan Middle Road, Shenzhen, Guangdong, 518033, PR China
| | - Jie Zeng
- Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuanyuan Ma
- Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University and Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510080, PR China
| | - Qimei Gong
- Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University and Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510080, PR China
| | - Zhuyu Wang
- Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University and Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510080, PR China
| | - Xiaolei Zhang
- Department of Stomatology, The Eighth Affiliated Hospital, Sun Yat-sen University, 3025 Shennan Middle Road, Shenzhen, Guangdong, 518033, PR China.
| | - Jingjing Quan
- Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University and Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510080, PR China.
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7
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Strohl WR, Ku Z, An Z, Carroll SF, Keyt BA, Strohl LM. Passive Immunotherapy Against SARS-CoV-2: From Plasma-Based Therapy to Single Potent Antibodies in the Race to Stay Ahead of the Variants. BioDrugs 2022; 36:231-323. [PMID: 35476216 PMCID: PMC9043892 DOI: 10.1007/s40259-022-00529-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/21/2022] [Indexed: 12/15/2022]
Abstract
The COVID-19 pandemic is now approaching 2 years old, with more than 440 million people infected and nearly six million dead worldwide, making it the most significant pandemic since the 1918 influenza pandemic. The severity and significance of SARS-CoV-2 was recognized immediately upon discovery, leading to innumerable companies and institutes designing and generating vaccines and therapeutic antibodies literally as soon as recombinant SARS-CoV-2 spike protein sequence was available. Within months of the pandemic start, several antibodies had been generated, tested, and moved into clinical trials, including Eli Lilly's bamlanivimab and etesevimab, Regeneron's mixture of imdevimab and casirivimab, Vir's sotrovimab, Celltrion's regdanvimab, and Lilly's bebtelovimab. These antibodies all have now received at least Emergency Use Authorizations (EUAs) and some have received full approval in select countries. To date, more than three dozen antibodies or antibody combinations have been forwarded into clinical trials. These antibodies to SARS-CoV-2 all target the receptor-binding domain (RBD), with some blocking the ability of the RBD to bind human ACE2, while others bind core regions of the RBD to modulate spike stability or ability to fuse to host cell membranes. While these antibodies were being discovered and developed, new variants of SARS-CoV-2 have cropped up in real time, altering the antibody landscape on a moving basis. Over the past year, the search has widened to find antibodies capable of neutralizing the wide array of variants that have arisen, including Alpha, Beta, Gamma, Delta, and Omicron. The recent rise and dominance of the Omicron family of variants, including the rather disparate BA.1 and BA.2 variants, demonstrate the need to continue to find new approaches to neutralize the rapidly evolving SARS-CoV-2 virus. This review highlights both convalescent plasma- and polyclonal antibody-based approaches as well as the top approximately 50 antibodies to SARS-CoV-2, their epitopes, their ability to bind to SARS-CoV-2 variants, and how they are delivered. New approaches to antibody constructs, including single domain antibodies, bispecific antibodies, IgA- and IgM-based antibodies, and modified ACE2-Fc fusion proteins, are also described. Finally, antibodies being developed for palliative care of COVID-19 disease, including the ramifications of cytokine release syndrome (CRS) and acute respiratory distress syndrome (ARDS), are described.
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Affiliation(s)
| | - Zhiqiang Ku
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Sciences Center, Houston, TX USA
| | - Zhiqiang An
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Sciences Center, Houston, TX USA
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8
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Schimke LF, Marques AHC, Baiocchi GC, de Souza Prado CA, Fonseca DLM, Freire PP, Rodrigues Plaça D, Salerno Filgueiras I, Coelho Salgado R, Jansen-Marques G, Rocha Oliveira AE, Peron JPS, Cabral-Miranda G, Barbuto JAM, Camara NOS, Calich VLG, Ochs HD, Condino-Neto A, Overmyer KA, Coon JJ, Balnis J, Jaitovich A, Schulte-Schrepping J, Ulas T, Schultze JL, Nakaya HI, Jurisica I, Cabral-Marques O. Severe COVID-19 Shares a Common Neutrophil Activation Signature with Other Acute Inflammatory States. Cells 2022; 11:cells11050847. [PMID: 35269470 PMCID: PMC8909161 DOI: 10.3390/cells11050847] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 02/24/2022] [Accepted: 02/25/2022] [Indexed: 02/06/2023] Open
Abstract
Severe COVID-19 patients present a clinical and laboratory overlap with other hyperinflammatory conditions such as hemophagocytic lymphohistiocytosis (HLH). However, the underlying mechanisms of these conditions remain to be explored. Here, we investigated the transcriptome of 1596 individuals, including patients with COVID-19 in comparison to healthy controls, other acute inflammatory states (HLH, multisystem inflammatory syndrome in children [MIS-C], Kawasaki disease [KD]), and different respiratory infections (seasonal coronavirus, influenza, bacterial pneumonia). We observed that COVID-19 and HLH share immunological pathways (cytokine/chemokine signaling and neutrophil-mediated immune responses), including gene signatures that stratify COVID-19 patients admitted to the intensive care unit (ICU) and COVID-19_nonICU patients. Of note, among the common differentially expressed genes (DEG), there is a cluster of neutrophil-associated genes that reflects a generalized hyperinflammatory state since it is also dysregulated in patients with KD and bacterial pneumonia. These genes are dysregulated at the protein level across several COVID-19 studies and form an interconnected network with differentially expressed plasma proteins that point to neutrophil hyperactivation in COVID-19 patients admitted to the intensive care unit. scRNAseq analysis indicated that these genes are specifically upregulated across different leukocyte populations, including lymphocyte subsets and immature neutrophils. Artificial intelligence modeling confirmed the strong association of these genes with COVID-19 severity. Thus, our work indicates putative therapeutic pathways for intervention.
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Affiliation(s)
- Lena F. Schimke
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
- Correspondence: (L.F.S.); (O.C.-M.); Tel.: +55-11-943661555 (L.F.S.); +55-11-974642022 (O.C.-M.)
| | - Alexandre H. C. Marques
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
| | - Gabriela Crispim Baiocchi
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
| | - Caroline Aliane de Souza Prado
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (C.A.d.S.P.); (D.L.M.F.); (D.R.P.); (A.E.R.O.); (H.I.N.)
| | - Dennyson Leandro M. Fonseca
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (C.A.d.S.P.); (D.L.M.F.); (D.R.P.); (A.E.R.O.); (H.I.N.)
| | - Paula Paccielli Freire
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
| | - Desirée Rodrigues Plaça
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (C.A.d.S.P.); (D.L.M.F.); (D.R.P.); (A.E.R.O.); (H.I.N.)
| | - Igor Salerno Filgueiras
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
| | - Ranieri Coelho Salgado
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
| | - Gabriel Jansen-Marques
- Information Systems, School of Arts, Sciences and Humanities, University of Sao Paulo, São Paulo 03828-000, Brazil;
| | - Antonio Edson Rocha Oliveira
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (C.A.d.S.P.); (D.L.M.F.); (D.R.P.); (A.E.R.O.); (H.I.N.)
| | - Jean Pierre Schatzmann Peron
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
| | - Gustavo Cabral-Miranda
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
| | - José Alexandre Marzagão Barbuto
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
- Laboratory of Medical Investigation in Pathogenesis, Targeted Therapy in Onco-Immuno-Hematology (LIM-31), Department of Hematology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-000, Brazil
| | - Niels Olsen Saraiva Camara
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
| | - Vera Lúcia Garcia Calich
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
| | - Hans D. Ochs
- Department of Pediatrics, Seattle Children’s Research Institute, University of Washington School of Medicine, Seattle, WA 98101, USA;
| | - Antonio Condino-Neto
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
| | - Katherine A. Overmyer
- National Center for Quantitative Biology of Complex Systems, Madison, WI 53562, USA; (K.A.O.); (J.J.C.)
- Morgridge Institute for Research, Madison, WI 53562, USA
| | - Joshua J. Coon
- National Center for Quantitative Biology of Complex Systems, Madison, WI 53562, USA; (K.A.O.); (J.J.C.)
- Morgridge Institute for Research, Madison, WI 53562, USA
- Department of Biomolecular Chemistry, University of Wisconsin, Madison, WI 53506, USA
- Department of Chemistry, University of Wisconsin, Madison, WI 53506, USA
| | - Joseph Balnis
- Division of Pulmonary and Critical Care Medicine, Albany Medical Center, Albany, NY 12208, USA; (J.B.); (A.J.)
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA
| | - Ariel Jaitovich
- Division of Pulmonary and Critical Care Medicine, Albany Medical Center, Albany, NY 12208, USA; (J.B.); (A.J.)
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA
| | - Jonas Schulte-Schrepping
- Life and Medical Sciences (LIMES) Institute, University of Bonn, 53115 Bonn, Germany; (J.S.-S.); (J.L.S.)
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), University of Bonn, 53127 Bonn, Germany;
| | - Thomas Ulas
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), University of Bonn, 53127 Bonn, Germany;
- German Center for Neurodegenerative Diseases (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE, University of Bonn, 53127 Bonn, Germany
| | - Joachim L. Schultze
- Life and Medical Sciences (LIMES) Institute, University of Bonn, 53115 Bonn, Germany; (J.S.-S.); (J.L.S.)
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), University of Bonn, 53127 Bonn, Germany;
- German Center for Neurodegenerative Diseases (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE, University of Bonn, 53127 Bonn, Germany
| | - Helder I. Nakaya
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (C.A.d.S.P.); (D.L.M.F.); (D.R.P.); (A.E.R.O.); (H.I.N.)
- Hospital Israelita Albert Einstein, São Paulo 05652-900, Brazil
- Scientific Platform Pasteur, University of São Paulo, São Paulo 05508-020, Brazil
| | - Igor Jurisica
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute and Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada;
- Departments of Medical Biophysics and Computer Science, Faculty of Dentistry, University of Toronto, Toronto, ON M5G 1L7, Canada
- Institute of Neuroimmunology, Slovak Academy of Sciences, 845 10 Bratislava, Slovakia
| | - Otávio Cabral-Marques
- Department of Imunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (A.H.C.M.); (G.C.B.); (P.P.F.); (I.S.F.); (R.C.S.); (J.P.S.P.); (G.C.-M.); (J.A.M.B.); (N.O.S.C.); (V.L.G.C.); (A.C.-N.)
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-000, Brazil; (C.A.d.S.P.); (D.L.M.F.); (D.R.P.); (A.E.R.O.); (H.I.N.)
- Network of Immunity in Infection, Malignancy, Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), São Paulo 05508-000, Brazil
- Correspondence: (L.F.S.); (O.C.-M.); Tel.: +55-11-943661555 (L.F.S.); +55-11-974642022 (O.C.-M.)
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