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Malik AA, Shariq M, Sheikh JA, Fayaz H, Srivastava G, Thakuri D, Ahuja Y, Ali S, Alam A, Ehtesham NZ, Hasnain SE. Regulation of Type I Interferon and Autophagy in Immunity against Mycobacterium Tuberculosis: Role of CGAS and STING1. Adv Biol (Weinh) 2024:e2400174. [PMID: 38977406 DOI: 10.1002/adbi.202400174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 05/22/2024] [Indexed: 07/10/2024]
Abstract
Mycobacterium tuberculosis (M. tb) is a significant intracellular pathogen responsible for numerous infectious disease-related deaths worldwide. It uses ESX-1 T7SS to damage phagosomes and to enter the cytosol of host cells after phagocytosis. During infection, M. tb and host mitochondria release dsDNA, which activates the CGAS-STING1 pathway. This pathway leads to the production of type I interferons and proinflammatory cytokines and activates autophagy, which targets and degrades bacteria within autophagosomes. However, the role of type I IFNs in immunity against M. tb is controversial. While previous research has suggested a protective role, recent findings from cgas-sting1 knockout mouse studies have contradicted this. Additionally, a study using knockout mice and non-human primate models uncovered a new mechanism by which neutrophils recruited to lung infections form neutrophil extracellular traps. Activating plasmacytoid dendritic cells causes them to produce type I IFNs, which interfere with the function of interstitial macrophages and increase the likelihood of tuberculosis. Notably, M. tb uses its virulence proteins to disrupt the CGAS-STING1 signaling pathway leading to enhanced pathogenesis. Investigating the CGAS-STING1 pathway can help develop new ways to fight tuberculosis.
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Affiliation(s)
- Asrar Ahmad Malik
- Department of Life Sciences, Sharda School of Basic Sciences and Research, Sharda University, Knowledge Park III, Greater Noida, Uttar Pradesh, 201306, India
| | - Mohd Shariq
- ICMR-National Institute of Pathology, Ansari Nagar West, New Delhi, 110029, India
| | - Javaid Ahmad Sheikh
- Department of Biotechnology, School of Chemical and Life Sciences, Jamia Hamdard, Hamdard Nagar, New Delhi, 110062, India
| | - Haleema Fayaz
- Department of Life Sciences, Sharda School of Basic Sciences and Research, Sharda University, Knowledge Park III, Greater Noida, Uttar Pradesh, 201306, India
| | - Gauri Srivastava
- Department of Life Sciences, Sharda School of Basic Sciences and Research, Sharda University, Knowledge Park III, Greater Noida, Uttar Pradesh, 201306, India
| | - Deeksha Thakuri
- Department of Life Sciences, Sharda School of Basic Sciences and Research, Sharda University, Knowledge Park III, Greater Noida, Uttar Pradesh, 201306, India
| | - Yashika Ahuja
- Department of Life Sciences, Sharda School of Basic Sciences and Research, Sharda University, Knowledge Park III, Greater Noida, Uttar Pradesh, 201306, India
| | - Saquib Ali
- Department of Life Sciences, Sharda School of Basic Sciences and Research, Sharda University, Knowledge Park III, Greater Noida, Uttar Pradesh, 201306, India
| | - Anwar Alam
- Department of Life Sciences, Sharda School of Basic Sciences and Research, Sharda University, Knowledge Park III, Greater Noida, Uttar Pradesh, 201306, India
| | - Nasreen Z Ehtesham
- Department of Life Sciences, Sharda School of Basic Sciences and Research, Sharda University, Knowledge Park III, Greater Noida, Uttar Pradesh, 201306, India
| | - Seyed E Hasnain
- Department of Life Sciences, Sharda School of Basic Sciences and Research, Sharda University, Knowledge Park III, Greater Noida, Uttar Pradesh, 201306, India
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology, Delhi (IIT-D), Hauz Khas, New Delhi, 110 016, India
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Silva Junior DDN, de Sousa Mata ÁN, Silva de Medeiros GCB, Marques MV, dos Santos TT, de Sousa Monteiro ME, Costa GG, d´Orsi E, Parra EV, Piuvezam G. Factors associated with mortality of elderly people due to COVID-19: Protocol for systematic review and meta-analysis. PLoS One 2024; 19:e0289576. [PMID: 38635760 PMCID: PMC11025961 DOI: 10.1371/journal.pone.0289576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 03/06/2024] [Indexed: 04/20/2024] Open
Abstract
INTRODUCTION The COVID-19 pandemic has become a significant health crisis, marked by high mortality rates on a global scale, with mortality from the disease being notably concentrated among the elderly due to various factors. OBJECTIVE This study aims to investigate the biological and non-biological factors associated with COVID-19 mortality rates among the elderly worldwide. METHODS The following databases will be consulted: PubMed, Scopus, EMBASE, Web of Science and ScienceDirect. Longitudinal observational studies (cohort and case-control-risk factors) will be included. The risk of bias, defined as low, moderate, high, will be assessed using the National Heart, Lung and Blood Institute (NHLBI) Quality Assessment Tool for observational cohort and cross-sectional studies. Two independent authors will conduct the searches, and any possible disagreements will be resolved by a third author. Heterogeneity between study results will be assessed using a standard X2 test with a significance level of 0.05, and an I2 value will be calculated to further assess heterogeneity. The random effects model for meta-analyses will be adopted to distribute the weight between the studies and standardize their contributions. The meta-analyses will be conducted using RevMan software. DISCUSSION Despite the numerous publications on COVID-19 mortality among the elderly, there is still a gap in knowledge, as there is no systematic review and meta-analysis that summarizes the main biological and non-biological associated factors globally. CONCLUSION The results of this study will consolidate the latest evidence and address gaps in the overall understanding of biological or non-biological associated factors. This knowledge will facilitate the development of appropriate health strategies for this demographic group and pave the way for further research. TRIAL REGISTRATION PROSPERO (CRD42023400873).
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Affiliation(s)
- Danyllo do Nascimento Silva Junior
- Postgraduate Program of Public Health, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil
- Systematic Review and Meta-Analysis Laboratory (Lab-Sys/CNPq), UFRN, Natal, RN, Brazil
| | - Ádala Nayana de Sousa Mata
- Systematic Review and Meta-Analysis Laboratory (Lab-Sys/CNPq), UFRN, Natal, RN, Brazil
- Postgraduate Program in Education, Work and Innovation in Medicine, Federal University of Rio Grande do Norte (PPGETIM), UFRN, Caicó, RN, Brazil
- Multicampi School of Medical Sciences of Rio Grande do Norte, Federal University of Rio Grande do Norte (UFRN), Caicó, RN, Brazil
| | - Gidyenne Christine Bandeira Silva de Medeiros
- Postgraduate Program of Public Health, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil
- Systematic Review and Meta-Analysis Laboratory (Lab-Sys/CNPq), UFRN, Natal, RN, Brazil
- Department of Nutrition, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil
| | - Marilane Vilela Marques
- Postgraduate Program of Public Health, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil
- Systematic Review and Meta-Analysis Laboratory (Lab-Sys/CNPq), UFRN, Natal, RN, Brazil
| | - Thais Teixeira dos Santos
- Postgraduate Program of Public Health, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil
- Systematic Review and Meta-Analysis Laboratory (Lab-Sys/CNPq), UFRN, Natal, RN, Brazil
| | - Maria Eduarda de Sousa Monteiro
- Systematic Review and Meta-Analysis Laboratory (Lab-Sys/CNPq), UFRN, Natal, RN, Brazil
- Multicampi School of Medical Sciences of Rio Grande do Norte, Federal University of Rio Grande do Norte (UFRN), Caicó, RN, Brazil
| | - Gabriela Góis Costa
- Systematic Review and Meta-Analysis Laboratory (Lab-Sys/CNPq), UFRN, Natal, RN, Brazil
- Multicampi School of Medical Sciences of Rio Grande do Norte, Federal University of Rio Grande do Norte (UFRN), Caicó, RN, Brazil
| | - Eleonora d´Orsi
- Department of Public Health, Federal University of Santa Catarina (UFSC), Florianópolis, SC, Brazil
| | - Eva Vegue Parra
- Universidad Católica San Antonio de Murcia (UCAM), Murcia, Spain
| | - Grasiela Piuvezam
- Postgraduate Program of Public Health, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil
- Systematic Review and Meta-Analysis Laboratory (Lab-Sys/CNPq), UFRN, Natal, RN, Brazil
- Department of Public Health, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil
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3
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Mariotti F, Sponchiado F, Lagi F, Moroni C, Paggi R, Kiros ST, Miele V, Bartoloni A, Mencarini J. Latent Tuberculosis Infection and COVID-19: Analysis of a Cohort of Patients from Careggi University Hospital (Florence, Italy). Infect Dis Rep 2023; 15:758-765. [PMID: 38131881 PMCID: PMC10742684 DOI: 10.3390/idr15060068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 11/29/2023] [Accepted: 12/07/2023] [Indexed: 12/23/2023] Open
Abstract
Data regarding the relationship between coronavirus disease (COVID-19) and active or latent tuberculosis (TB) are discordant. We conducted a retrospective study examining the impact of latent tuberculosis infection (LTBI) on the clinical progression of COVID-19 patients. We selected 213 patients admitted with COVID-19 in a tertiary-level Italian hospital (February-December 2020), who underwent a QuantiFERON-TB test (QFT) and/or chest radiological exam. The population was divided into three groups: (i) QFT negative and without radiological TB sequelae (Neg); (ii) QFT positive and without radiological TB sequelae (Pos); (iii) radiological TB sequelae regardless of QFT result (Seq). In-hospital mortality and oro-tracheal intubation (OTI) showed significantly higher results in the Seq group (Seq 50% vs. Pos 13.3% vs. Neg 9.3%, p < 0.001; Seq 16.7% vs. Pos 6.7% vs. Neg 4.9%, p = 0.045). Considering the Pos and Seq groups' patients as the population with defined LTBI, in-hospital mortality (20/51, 39.2%) and OTI risk (7/51, 13.7%) were statistically higher with respect to patients without LTBI (in-hospital mortality: 15/162, 9.3%, p < 0.001; OTI risk: 8/162, 4.9%, p = 0.023), respectively. Multivariate analysis showed that radiological sequelae and the Charlson Comorbidity Index (CCI) were significantly associated with higher mortality rate; despite the higher CCI of Seq population, we cannot exclude the correlation between COVID-19 in-hospital mortality and the presence of radiological TB sequelae.
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Affiliation(s)
- Francesca Mariotti
- Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy (R.P.); (S.T.K.)
| | - Francesco Sponchiado
- Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy (R.P.); (S.T.K.)
| | - Filippo Lagi
- Infectious and Tropical Diseases Unit, Careggi University Hospital, 50134 Florence, Italy (J.M.)
| | - Chiara Moroni
- Emergency Radiology Unit, Careggi University Hospital, 50134 Florence, Italy
| | - Riccardo Paggi
- Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy (R.P.); (S.T.K.)
| | - Seble Tekle Kiros
- Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy (R.P.); (S.T.K.)
| | - Vittorio Miele
- Emergency Radiology Unit, Careggi University Hospital, 50134 Florence, Italy
| | - Alessandro Bartoloni
- Department of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy (R.P.); (S.T.K.)
- Infectious and Tropical Diseases Unit, Careggi University Hospital, 50134 Florence, Italy (J.M.)
| | - Jessica Mencarini
- Infectious and Tropical Diseases Unit, Careggi University Hospital, 50134 Florence, Italy (J.M.)
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Loguercio S, Calverley BC, Wang C, Shak D, Zhao P, Sun S, Budinger GS, Balch WE. Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2. PATTERNS (NEW YORK, N.Y.) 2023; 4:100800. [PMID: 37602209 PMCID: PMC10436005 DOI: 10.1016/j.patter.2023.100800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/22/2023] [Accepted: 06/22/2023] [Indexed: 08/22/2023]
Abstract
We have developed a machine learning (ML) approach using Gaussian process (GP)-based spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving host-pathogen balance in biology. We show how SCV can be applied to understanding the response of evolving covariant relationships linking the variant pattern of virus spread to pathology for the entire SARS-CoV-2 genome on a daily basis. We show that GP-based SCV relationships in conjunction with genome-wide co-occurrence analysis provides an early warning anomaly detection (EWAD) system for the emergence of variants of concern (VOCs). EWAD can anticipate changes in the pattern of performance of spread and pathology weeks in advance, identifying signatures destined to become VOCs. GP-based analyses of variation across entire viral genomes can be used to monitor micro and macro features responsible for host-pathogen balance. The versatility of GP-based SCV defines starting point for understanding nature's evolutionary path to complexity through natural selection.
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Affiliation(s)
| | - Ben C. Calverley
- Department of Molecular Medicine, Scripps Research, La Jolla, CA, USA
| | - Chao Wang
- Department of Molecular Medicine, Scripps Research, La Jolla, CA, USA
| | - Daniel Shak
- Department of Molecular Medicine, Scripps Research, La Jolla, CA, USA
| | - Pei Zhao
- Department of Molecular Medicine, Scripps Research, La Jolla, CA, USA
| | - Shuhong Sun
- Department of Molecular Medicine, Scripps Research, La Jolla, CA, USA
| | - G.R. Scott Budinger
- Division of Pulmonary and Critical Care Medicine, Northwestern University, Chicago, IL, USA
| | - William E. Balch
- Department of Molecular Medicine, Scripps Research, La Jolla, CA, USA
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5
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Shariq M, Malik AA, Sheikh JA, Hasnain SE, Ehtesham NZ. Regulation of autophagy by SARS-CoV-2: The multifunctional contributions of ORF3a. J Med Virol 2023; 95:e28959. [PMID: 37485696 DOI: 10.1002/jmv.28959] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 07/01/2023] [Accepted: 07/04/2023] [Indexed: 07/25/2023]
Abstract
Severe acute respiratory syndrome-coronavirus-1 (SARS-CoV-2) regulates autophagic flux by blocking the fusion of autophagosomes with lysosomes, causing the accumulation of membranous vesicles for replication. Multiple SARS-CoV-2 proteins regulate autophagy with significant roles attributed to ORF3a. Mechanistically, open reading frame 3a (ORF3a) forms a complex with UV radiation resistance associated, regulating the functions of the PIK3C3-1 and PIK3C3-2 lipid kinase complexes, thereby modulating autophagosome biogenesis. ORF3a sequesters VPS39 onto the late endosome/lysosome, inhibiting assembly of the soluble NSF attachement protein REceptor (SNARE) complex and preventing autolysosome formation. ORF3a promotes the interaction between BECN1 and HMGB1, inducing the assembly of PIK3CA kinases into the ER (endoplasmic reticulum) and activating reticulophagy, proinflammatory responses, and ER stress. ORF3a recruits BORCS6 and ARL8B to lysosomes, initiating the anterograde transport of the virus to the plasma membrane. ORF3a also activates the SNARE complex (STX4-SNAP23-VAMP7), inducing fusion of lysosomes with the plasma membrane for viral egress. These mechanistic details can provide multiple targets for inhibiting SARS-CoV-2 by developing host- or host-pathogen interface-based therapeutics.
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Affiliation(s)
- Mohd Shariq
- Inflammation Biology and Cell Signalling Laboratory, ICMR-National Institute of Pathology, New Delhi, India
| | - Asrar A Malik
- Department of Life Sciences, School of Basic Sciences and Research, Sharda University, Greater Noida, Uttar Pradesh, India
| | - Javaid A Sheikh
- Department of Biotechnology, School of Chemical and Life Sciences, Jamia Hamdard, Hamdard Nagar, New Delhi, India
| | - Seyed E Hasnain
- Department of Life Sciences, School of Basic Sciences and Research, Sharda University, Greater Noida, Uttar Pradesh, India
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology, New Delhi, India
| | - Nasreen Z Ehtesham
- Department of Life Sciences, School of Basic Sciences and Research, Sharda University, Greater Noida, Uttar Pradesh, India
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6
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Shariq M, Sheikh JA, Quadir N, Sharma N, Hasnain SE, Ehtesham NZ. COVID-19 and tuberculosis: the double whammy of respiratory pathogens. Eur Respir Rev 2022; 31:31/164/210264. [PMID: 35418488 DOI: 10.1183/16000617.0264-2021] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 02/07/2022] [Indexed: 12/19/2022] Open
Abstract
Prior to coronavirus disease 2019 (COVID-19), tuberculosis (TB) was the worst killer among infectious diseases. The union of these two obnoxious respiratory diseases can be devastating, with severe public health implications. The COVID-19 pandemic has affected all TB-elimination programmes due to the severe burden on healthcare systems and the diversion of funds and attention towards controlling the pandemic. The emerging data show that the COVID-19 pandemic caused a marked decrease in case notifications and bacille Calmette-Guérin immunisations, ultimately promoting disease transmission and increasing the susceptible population. The similarity between the clinical characteristics of TB and COVID-19 adds to the public health complications, with evidence of immune dysregulation in both cases leading to severe consequences. Clinical evidence suggests that severe acute respiratory syndrome coronavirus 2 infection predisposes patients to TB infection or may lead to reactivation of latent disease. Similarly, underlying TB disease can worsen COVID-19. Treatment options are limited in COVID-19; therefore, using immunosuppressive and immunomodulatory regimens that can modulate the concomitant bacterial infection and interaction with anti-TB drugs requires caution. Thus, considering the synergistic impact of these two respiratory diseases, it is crucial to manage both diseases to combat the syndemic of TB and COVID-19.
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Affiliation(s)
- Mohd Shariq
- ICMR-National Institute of Pathology, New Delhi, India.,These authors contributed equally to this work
| | - Javaid A Sheikh
- Dept of Biotechnology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi, India.,These authors contributed equally to this work
| | - Neha Quadir
- ICMR-National Institute of Pathology, New Delhi, India.,Jamia Hamdard-Institute of Molecular Medicine, New Delhi, India
| | - Neha Sharma
- ICMR-National Institute of Pathology, New Delhi, India.,Jamia Hamdard-Institute of Molecular Medicine, New Delhi, India
| | - Seyed E Hasnain
- Dept of Biochemical Engineering and Biotechnology, Indian Institute of Technology, New Delhi, India.,Dept of Life Science, School of Basic Sciences and Research, Sharda University, Greater Noida, India.,These authors contributed equally to this article as lead authors and supervised the work
| | - Nasreen Z Ehtesham
- ICMR-National Institute of Pathology, New Delhi, India .,These authors contributed equally to this article as lead authors and supervised the work
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Dyrbuś M, Oraczewska A, Szmigiel S, Gawęda S, Kluszczyk P, Cyzowski T, Jędrzejek M, Dubik P, Kozłowski M, Kwiatek S, Celińska B, Wita M, Trejnowska E, Swinarew A, Darocha T, Barczyk A, Skoczyński S. Mallampati Score Is an Independent Predictor of Active Oxygen Therapy in Patients with COVID-19. J Clin Med 2022; 11:jcm11112958. [PMID: 35683347 PMCID: PMC9181244 DOI: 10.3390/jcm11112958] [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] [Received: 04/10/2022] [Revised: 05/16/2022] [Accepted: 05/19/2022] [Indexed: 12/16/2022] Open
Abstract
Mallampati score has been identified and accepted worldwide as an independent predictor of difficult intubation and obstructive sleep apnea. We aimed to determine whether Mallampati score assessed on the first patient medical assessment allowed us to stratify the risk of worsening of conditions in patients hospitalized due to COVID-19. A total of 493 consecutive patients admitted between 13 November 2021 and 2 January 2022 to the temporary hospital in Pyrzowice were included in the analysis. The clinical data, chest CT scan, and major, clinically relevant laboratory parameters were assessed by patient-treating physicians, whereas the Mallampati score was assessed on admission by investigators blinded to further treatment. The primary endpoints were necessity of active oxygen therapy (AOT) during hospitalization and 60-day all-cause mortality. Of 493 patients included in the analysis, 69 (14.0%) were in Mallampati I, 57 (11.6%) were in Mallampati II, 78 (15.8%) were in Mallampati III, and 288 (58.9%) were in Mallampati IV. There were no differences in the baseline characteristics between the groups, except the prevalence of chronic kidney disease (p = 0.046). Patients with Mallampati IV were at the highest risk of AOT during the hospitalization (33.0%) and the highest risk of death due to any cause at 60 days (35.0%), which significantly differed from other scores (p = 0.005 and p = 0.03, respectively). Mallampati IV was identified as an independent predictor of need for AOT (OR 3.089, 95% confidence interval 1.65−5.77, p < 0.001) but not of all-cause mortality at 60 days. In conclusion, Mallampati IV was identified as an independent predictor of AOT during hospitalization. Mallampati score can serve as a prehospital tool allowing to identify patients at higher need for AOT.
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Affiliation(s)
- Maciej Dyrbuś
- Pyrzowice Temporary Hospital, Leszek Giec Upper-Silesian Medical Center, 40-635 Katowice, Poland; (A.O.); (T.C.); (M.J.); (M.K.); (T.D.); (S.S.)
- 3rd Department of Cardiology, School of Medical Sciences in Zabrze, Medical University of Silesia, 41-800 Zabrze, Poland
- Correspondence:
| | - Aleksandra Oraczewska
- Pyrzowice Temporary Hospital, Leszek Giec Upper-Silesian Medical Center, 40-635 Katowice, Poland; (A.O.); (T.C.); (M.J.); (M.K.); (T.D.); (S.S.)
- Department of Pneumonology, School of Medicine in Katowice, Medical University of Silesia, 40-752 Katowice, Poland;
| | - Szymon Szmigiel
- Student Scientific Society, Department of Pneumonology, School of Medicine in Katowice, Medical University of Silesia, 40-752 Katowice, Poland; (S.S.); (S.G.); (P.K.)
| | - Szymon Gawęda
- Student Scientific Society, Department of Pneumonology, School of Medicine in Katowice, Medical University of Silesia, 40-752 Katowice, Poland; (S.S.); (S.G.); (P.K.)
| | - Paulina Kluszczyk
- Student Scientific Society, Department of Pneumonology, School of Medicine in Katowice, Medical University of Silesia, 40-752 Katowice, Poland; (S.S.); (S.G.); (P.K.)
| | - Tomasz Cyzowski
- Pyrzowice Temporary Hospital, Leszek Giec Upper-Silesian Medical Center, 40-635 Katowice, Poland; (A.O.); (T.C.); (M.J.); (M.K.); (T.D.); (S.S.)
- Department of Anaesthesiology and Intensive Therapy, Medical University of Silesia, 40-752 Katowice, Poland
| | - Marek Jędrzejek
- Pyrzowice Temporary Hospital, Leszek Giec Upper-Silesian Medical Center, 40-635 Katowice, Poland; (A.O.); (T.C.); (M.J.); (M.K.); (T.D.); (S.S.)
- Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, 40-752 Katowice, Poland
| | - Paweł Dubik
- Department of Anesthesiology and Intensive Therapy, Hospital of the Ministry of the Interior and Administration, 40-061 Katowice, Poland;
| | - Michał Kozłowski
- Pyrzowice Temporary Hospital, Leszek Giec Upper-Silesian Medical Center, 40-635 Katowice, Poland; (A.O.); (T.C.); (M.J.); (M.K.); (T.D.); (S.S.)
- Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, 40-752 Katowice, Poland
| | - Sebastian Kwiatek
- Division of Internal Diseases Oncology, Gastroenterology, Angiology, Department of Cardiology Intensive Care, Hospital of the Ministry of the Interior and Administration, 40-061 Katowice, Poland;
| | - Beata Celińska
- Consultant in Infectious Diseases GCM, Upper Silesian Medical Center, 40-635 Katowice, Poland;
| | - Michał Wita
- First Chair and Department of Cardiology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland;
| | - Ewa Trejnowska
- Department of Cardiac Anaesthesia and Intensive Care, Silesian Centre for Heart Diseases in Zabrze, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-752 Katowice, Poland;
| | - Andrzej Swinarew
- Faculty of Science and Technology, University of Silesia in Katowice, 41-500 Chorzów, Poland;
- Department of Swimming and Water Rescue, Institute of Sport Science, The Jerzy Kukuczka Academy of Physical Education, 40-065 Katowice, Poland
| | - Tomasz Darocha
- Pyrzowice Temporary Hospital, Leszek Giec Upper-Silesian Medical Center, 40-635 Katowice, Poland; (A.O.); (T.C.); (M.J.); (M.K.); (T.D.); (S.S.)
- Department of Anaesthesiology and Intensive Therapy, Medical University of Silesia, 40-752 Katowice, Poland
| | - Adam Barczyk
- Department of Pneumonology, School of Medicine in Katowice, Medical University of Silesia, 40-752 Katowice, Poland;
| | - Szymon Skoczyński
- Pyrzowice Temporary Hospital, Leszek Giec Upper-Silesian Medical Center, 40-635 Katowice, Poland; (A.O.); (T.C.); (M.J.); (M.K.); (T.D.); (S.S.)
- Department of Pneumonology, School of Medicine in Katowice, Medical University of Silesia, 40-752 Katowice, Poland;
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Novello S, Terzolo M, Paola B, Gianetta M, Bianco V, Arizio F, Brero D, Perini AME, Boccuzzi A, Caramello V, Perboni A, Bellavia F, Scagliotti GV. Humoral immune response to SARS-CoV-2 in five different groups of individuals at different environmental and professional risk of infection. Sci Rep 2021; 11:24503. [PMID: 34969967 PMCID: PMC8718534 DOI: 10.1038/s41598-021-04279-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 12/13/2021] [Indexed: 02/08/2023] Open
Abstract
It is partially unknown whether the immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection persists with time. To address this issue, we detected the presence of SARS-CoV-2 antibodies in different groups of individuals previously diagnosed with COVID-19 disease (group 1 and 2), or potentially exposed to SARS-CoV-2 infection (group 3 and 4), and in a representative group of individuals with limited environmental exposure to the virus due to lockdown restrictions (group 5). The primary outcome was specific anti-SARS-CoV-2 antibodies in the different groups assessed by qualitative and quantitative analysis at baseline, 3 and 6 months follow-up. The seroconversion rate at baseline test was 95% in group 1, 61% in group 2, 40% in group 3, 17% in group 4 and 3% in group 5. Multivariate logistic regression analysis revealed male gender, close COVID-19 contact and presence of COVID-19 related symptoms strongly associated with serological positivity. The percentage of positive individuals as assessed by the qualitative and quantitative tests was superimposable. At the quantitative test, the median level of SARS-CoV-2 antibody levels measured in positive cases retested at 6-months increased significantly from baseline. The study indicates that assessing antibody response to SARS-CoV-2 through qualitative and quantitative testing is a reliable disease surveillance tool.
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Affiliation(s)
- Silvia Novello
- Department of Oncology at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Massimo Terzolo
- Department of Clinical & Biological Sciences at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Berchialla Paola
- Department of Clinical & Biological Sciences at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Martina Gianetta
- Department of Oncology at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Valentina Bianco
- Department of Oncology at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Francesca Arizio
- Department of Oncology at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Dalila Brero
- Department of Clinical & Biological Sciences at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Anna Maria Elena Perini
- Department of Clinical & Biological Sciences at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Adriana Boccuzzi
- Emergency Care Division, San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Valeria Caramello
- Emergency Care Division, San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Alberto Perboni
- Respiratory Medicine Division, San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Fabio Bellavia
- Respiratory Medicine Division, San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Torino, Italy
| | - Giorgio Vittorio Scagliotti
- Department of Oncology at San Luigi Hospital, University of Torino, Regione Gonzole 10, 10043, Orbassano, Torino, Italy.
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