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. 2021 Aug 18;599e0028821. doi Epub 2021 Aug 18. Affiliations PMID 34260272 PMCID PMC8373017 DOI Free PMC article Performance of the Abbott SARS-CoV-2 IgG II Quantitative Antibody Assay Including the New Variants of Concern, VOC 202012/V1 United Kingdom and VOC 202012/V2 South Africa, and First Steps towards Global Harmonization of COVID-19 Antibody Methods Emma English et al. J Clin Microbiol. 2021. Free PMC article Abstract In the initial stages of the severe acute respiratory syndrome coronavirus 2 SARS-CoV-2 COVID-19 pandemic, a plethora of new serology tests were developed and introduced to the global market. Many were not evaluated rigorously, and there is a significant lack of concordance in results across methods. To enable meaningful clinical decisions to be made, robustly evaluated, quantitative serology methods are needed. These should be harmonized to a primary reference material, allowing for the comparison of trial data and improved clinical decision making. A comprehensive evaluation of the new Abbott IgG II anti-SARS-CoV-2 IgG method was undertaken using CLSI-based protocols. Two different candidate primary reference materials and verification panels were assessed with a goal to move toward harmonization. The Abbott IgG II method performed well across a wide range of parameters with excellent imprecision < and was linear throughout the positive range tested to 38,365 AU/ml. The sensitivity based on ≥14-day post-positive reverse transcription-PCR [RT-PCR] samples and specificity were to and to 100%, respectively. The candidate reference materials showed poor correlation across methods, with mixed responses noted in methods that use the spike protein versus the nucleocapsid proteins as their binding antigen. The Abbott IgG II anti-SARS-CoV-2 measurement appears to be the first linear method potentially capable of monitoring the immune response to natural infection, including from new emerging variants. The candidate reference materials assessed did not generate uniform results across several methods, and further steps are needed to enable the harmonization process. Keywords COVID-19; SARS-CoV-2; analytical performance; antibody assay; evaluation; harmonization; serology; variants. Figures FIG 1 Linearity of method over the complete working range of the Abbott IgG II assay using a range of dilutions of a high positive mean, 38,365 AU/ml in the Abbott diluent. Dash-dot line indicates the identity line. The darker dotted line represents the 95% likelihood asymmetrical CI of the slope. FIG 2 Cohen’s kappa concordance analysis of the assays and overall all samples included agreement of results given as percent. Equivocal results were considered negative. FIG 3 Representative examples of the quantitative immune response in three different variants of the SARS-CoV-2 virus, including the “UK” and “South Africa” variants. The days post-PCR do not necessarily correlate to the day of onset of symptoms or the day of hospitalization. FIG 4 Comparison graphs of the values obtained for the Technopath positive panel with different methods A Abbott IgG II versus DiaSorin Liaison XL; B Abbott IgG II versus EDI; C Abbott IgG II quantitative S versus Abbott IgG qualitative R. Only the Abbott quantitative assay showed linearity r2 = and was plotted against DiaSorin, quadratic r2 = A, EDI, 4-PL r2 = B, and Abbott qualitative, 4-PL r2 = C. FIG 5 Dilution of NIBSC working standard 20/162 using the Abbott diluent. Dash-dot line indicates the identity line. The darker dotted line represents the 95% likelihood asymmetrical CI of the slope. Similar articles Clinical and analytical evaluation of the Abbott AdviseDx quantitative SARS-CoV-2 IgG assay and comparison with two other serological tests. Maine GN, Krishnan SM, Walewski K, Trueman J, Sykes E, Sun Q. Maine GN, et al. J Immunol Methods. 2022 Apr;503113243. doi Epub 2022 Feb 16. J Immunol Methods. 2022. PMID 35181288 Free PMC article. SARS-CoV-2 Antibody Testing in Health Care Workers A Comparison of the Clinical Performance of Three Commercially Available Antibody Assays. Allen N, Brady M, Carrion Martin AI, Domegan L, Walsh C, Houlihan E, Kerr C, Doherty L, King J, Doheny M, Griffin D, Molloy M, Dunne J, Crowley V, Holmes P, Keogh E, Naughton S, Kelly M, O'Rourke F, Lynagh Y, Crowley B, de Gascun C, Holder P, Bergin C, Fleming C, Ni Riain U, Conlon N; PRECISE Study Steering Group. Allen N, et al. Microbiol Spectr. 2021 Oct 31;92e0039121. doi Epub 2021 Sep 29. Microbiol Spectr. 2021. PMID 34585976 Free PMC article. A Qualitative Comparison of the Abbott SARS-CoV-2 IgG II Quant Assay against Commonly Used Canadian SARS-CoV-2 Enzyme Immunoassays in Blood Donor Retention Specimens, April 2020 to March 2021. Abe KT, Rathod B, Colwill K, Gingras AC, Tuite A, Robbins NF, Orjuela G, Jenkins C, Conrod V, Yi QL, O'Brien SF, Drews SJ. Abe KT, et al. Microbiol Spectr. 2022 Jun 29;103e0113422. doi Epub 2022 Jun 2. Microbiol Spectr. 2022. PMID 35652636 Free PMC article. Efficacy of frontline chemical biocides and disinfection approaches for inactivating SARS-CoV-2 variants of concern that cause coronavirus disease with the emergence of opportunities for green eco-solutions. Rowan NJ, Meade E, Garvey M. Rowan NJ, et al. Curr Opin Environ Sci Health. 2021 Oct;23100290. doi Epub 2021 Jul 3. Curr Opin Environ Sci Health. 2021. PMID 34250323 Free PMC article. Review. Recapping the Features of SARS-CoV-2 and Its Main Variants Status and Future Paths. Ortega MA, García-Montero C, Fraile-Martinez O, Colet P, Baizhaxynova A, Mukhtarova K, Alvarez-Mon M, Kanatova K, Asúnsolo A, Sarría-Santamera A. Ortega MA, et al. J Pers Med. 2022 Jun 18;126995. doi J Pers Med. 2022. PMID 35743779 Free PMC article. Review. Cited by The changing profile of SARS-CoV-2 serology in Irish blood donors. Coyne D, Butler D, Meehan A, Keogh E, Williams P, Carterson A, Hervig T, O'Flaherty N, Waters A. Coyne D, et al. Glob Epidemiol. 2023 Dec;5100108. doi Epub 2023 Apr 21. Glob Epidemiol. 2023. PMID 37122774 Free PMC article. Mix-and-match COVID-19 vaccines trigger high antibody response after the third dose vaccine in Moroccan health care workers. Amellal H, Assaid N, Akarid K, Maaroufi A, Ezzikouri S, Sarih M. Amellal H, et al. Vaccine X. 2023 Aug;14100288. doi Epub 2023 Mar 25. Vaccine X. 2023. PMID 37008956 Free PMC article. Impact of MERS-CoV and SARS-CoV-2 Viral Infection on Immunoglobulin-IgG Cross-Reactivity. AlKhalifah JM, Seddiq W, Alshehri MA, Alhetheel A, Albarrag A, Meo SA, Al-Tawfiq JA, Barry M. AlKhalifah JM, et al. Vaccines Basel. 2023 Feb 26;113552. doi Vaccines Basel. 2023. PMID 36992136 Free PMC article. Dynamics of Anti-S IgG Antibodies Titers after the Second Dose of COVID-19 Vaccines in the Manual and Craft Worker Population of Qatar. Bansal D, Atia H, Al Badr M, Nour M, Abdulmajeed J, Hasan A, Al-Hajri N, Ahmed L, Ibrahim R, Zamel R, Mohamed A, Pattalaparambil H, Daraan F, Chaudhry A, Oraby S, El-Saleh S, El-Shafie SS, Al-Farsi AF, Paul J, Ismail A, Al-Romaihi HE, Al-Thani MH, Doi SAR, Zughaier SM, Cyprian F, Farag E, Farooqui HH. Bansal D, et al. Vaccines Basel. 2023 Feb 21;113496. doi Vaccines Basel. 2023. PMID 36992080 Free PMC article. Quantification of Severe Acute Respiratory Syndrome Coronavirus 2 Binding Antibody Levels To Assess Infection and Vaccine-Induced Immunity Using WHO Standards. Pernet O, Balog S, Kawaguchi ES, Lam CN, Anthony P, Simon P, Kotha R, Sood N, Hu H, Kovacs A. Pernet O, et al. Microbiol Spectr. 2023 Feb 14;111e0370922. doi Epub 2023 Jan 23. Microbiol Spectr. 2023. PMID 36688648 Free PMC article. References Worldometer. 2021. COVID-19 coronavirus pandemic. Dover, DE, USA. Accessed 10 January 2021. World Health Organization. 2021. Weekly epidemiological update on COVID-19 – 16 March 2021. World Health Organization, Geneva, Switzerland. Krammer F. 2020. SARS-CoV-2 vaccines in development. Nature 586516–527. - DOI - PubMed Department of Health and Social Care. 2021. UK COVID-19 vaccines delivery plan. Department of Health and Social Care, London, United Kingdom. Khoury DS, Wheatley AK, Ramuta MD, Reynaldi A, Cromer D, Subbarao K, O'Connor DH, Kent SJ, Davenport MP. 2020. Measuring immunity to SARS-CoV-2 infection comparing assays and animal models. Nat Rev Immunol 20727–738. - DOI - PMC - PubMed Publication types MeSH terms Substances LinkOut - more resources Full Text Sources Atypon Europe PubMed Central PubMed Central Medical Genetic Alliance MedlinePlus Health Information Miscellaneous NCI CPTAC Assay Portal

ProteinS pada SARS-CoV-2 memiliki ikatan yang kuat dengan reseptor ACE2 pada manusia, (Wan et al., 2020), sehingga virus tersebut mudah menginfeksi manusia. Kode PDB Reseptor ACE2 yang digunakan adalah 1r42 (Gambar 3). Pemilihan ligan terbaik yang dapat menghambat interaksi antara Protein S dari SARS-CoV-2 dengan

Dear Editor,The Coronavirus disease 2019 COVID-19 pandemic has caused over 670 million cases and million deaths worldwide, many of which are attributed to cardiovascular complications. Virus-induced endothelial damage, endothelial barrier dysfunction, thrombosis, and cytokine storm are implicated in heart and multi-organ failure. The prognosis is worsened by comorbidities, including diabetes and arterial hypertension, characterized by an inflammatory and pro-thrombotic milieu and upregulation of total and glycosylated Angiotensin-Converting Enzyme 2 ACE2 in pericytes represent a preferential target of SARS-CoV-2 These perivascular cells preserve vascular integrity through physical and paracrine crosstalk with capillary endothelial cells. Pericyte dysfunction and detachment favor the SARS-CoV-2 to spread from the bloodstream and damage the infection starts with the engagement of the Spike S-protein with its cellular ACE-2 and CD147 receptors. Due to the homology with human proteins, the S-protein also acts as a natural ligand activating the ERK1/2 MAPK signaling pathway in cardiac Some evidence suggests that the S-protein, CD147, cyclophilin, and MAPK axis are essential in triggering the cytokine However, an in vivo demonstration of the S-protein’s direct damaging effect on cardiac pericytes is present study investigated the acute effects of intravenously injected S-protein on the heart microvasculature of otherwise healthy mice. Moreover, we analyzed the expressional changes caused by the S-protein in primary cultures of human cardiac pericytes using bulk RNA-Sequencing. Finally, the RNA-Sequencing data were cross-referenced with single-nuclei sn-RNA-Sequencing datasets of COVID-19 patients’ hearts to determine how expressional changes after SARS-CoV-2 infection overlap with those caused by the S-protein healthy CD1 mice 6 male, 6 female were randomized to receive either 10 µg endotoxin-free S-protein resuspended in 100 µL sterile PBS or PBS only, intravenously. They were culled three days later for molecular and histological analyses Fig. 1a. S-protein immunoreactive levels in the circulation were like those reported in COVID-19 patients early after infection and before seroconversion ± ng/mL.7 Immunohistochemistry of the hearts demonstrated that the S-protein, although not altering the capillary density, increased the fraction that expresses ICAM-1, an adhesion molecule implicated in leucocyte-endothelial interactions Fig. 1b and remarkably reduced the pericyte density, coverage, and viability Fig. 1c–e. SARS-CoV-2 can trigger direct or indirect activation of all three complement Here, we show that the in vivo administration of S-protein increased complement-activated C5a protein levels in peripheral blood and the heart Fig. 1f, g. Moreover, the S-protein increased the heart’s abundance of CD45+ immune cells ± cells/mm2 vs. ± cell/mm2 in PBS-treated mice, specifically Ly6G/6C+ neutrophils/monocytes Fig. 1h and F4/80+ macrophages Fig. 1i. Leucocytes can crawl along pericyte processes to enlarged gaps between adjacent pericytes in an ICAM-1-dependent manner during inflammation. Controls for immunohistochemistry stainings are provided in Supplementary Fig. 1a–i Injection of S-protein in vivo in mice. a Experimental design of the in vivo study in mice. b Representative immunofluorescence images of mice hearts showing capillaries IB4, green and activated endothelium ICAM-1, red. Bar graphs summarize the quantitative analysis of capillaries positive for ICAM-1, expressed as a percentage of total vessels. c Representative immunofluorescence images showing capillaries IB4, green and pericytes PDGFRβ, red. Bar graphs summarize the quantitative analysis of pericyte density. d Representative immunofluorescence images showing longitudinal capillaries IB4, green covered by pericytes PDGFRβ, red. Bar graphs report the quantitative analysis of pericyte coverage. e Representative immunofluorescence images of mice hearts showing endothelial cells IB4, green, pericytes PDGFRβ, red, and TUNEL-positive nuclei apoptotic nuclei, magenta. Bar graphs report the quantification of TUNEL+ pericytes. f Measurement of C5a in mice plasma using ELISA. g Immunohistochemistry/DAB staining and a bar graph showing the accumulation of the activated complement factor C5a in the mice hearts. Nuclei are shown in blue Haematoxylin. The graph reports the integrated optical density IOD values. Representative immunofluorescence images of mice hearts showing the presence of neutrophils/monocytes h—Ly6G/6 C, green and macrophages i—F4/80, green. Cardiomyocytes are labeled with α-Sarcomeric Actin red. Bar graphs report the density of Ly6G/6 C+ neutrophils/monocytes and F4/80+ macrophages. In all immunofluorescence images, DAPI labels nuclei in blue. For all images, the scale bar is 50 μm. For all analyses, n = 6 per group. All data are presented as individual values and means ± SEM. Statistical tests after a normality test, an unpaired t-Test was applied. j–l RNA-Sequencing analysis of human cardiac pericytes challenged with the S-protein in vitro. n = 3 patients. j Experimental design and volcano plot showing transcripts differentially expressed in S-protein-treated nM human cardiac pericytes vs. PBS vehicle-treated pericytes. The terms of the most relevant genes were reported. k Bar graph indicating all differentially expressed KEGG pathways. l Bar graphs indicating the most relevant differentially expressed Reactome pathways. FDR = false discovery rate. Genes were considered differentially expressed for FDR ≤ m–p Sn-RNA-Sequencing analysis of pericytes from COVID-19 patients’ hearts. n = 22 COVID patients, n = 25 controls. m Plots show the ordering of pericytes in pseudo-time. The starting point of pseudo-time is from the pericytes of healthy donors. n A heatmap summarizing the mean expression of normalized unique molecular identifiers UMIs of genes in the modules resulting from the pseudo-time analysis. o A volcano plot showing fold-change of module expression COVID-19 compared to healthy donors and enrichment significance of each module and differentially expressed genes from bulk RNA-Sequencing comparing PBS-vehicle and Spike. p A plot summarising overlapped/similar Reactome and Gene Ontology terms overrepresented in each module and differentially expressed genes in bulk RNA-Sequencing. q Schematic summarizing major findings and candidate mechanisms underpinning the S-protein damaging action. Left panel We provide novel evidence that S-protein alone can damage the heart microvasculature of otherwise healthy mice. On one side, the S-protein acts as a ligand activating intracellular pericyte signaling, which results in pericyte detachment, death, and decreased vascular coverage, thus disrupting the coronary microcirculation. On the other, the S-protein triggers endothelial activation ICAM-1+ endothelial cells, resulting in increased homing of leukocytes to the heart and accumulation of activated complement protein C5a. Right panel A comparison between the expressional changes induced by the S-protein in primary human cardiac pericytes in vitro and single-nuclei sn-RNA-Sequencing pseudo-time trajectories analysis in pericytes extracted from the heart of deceased COVID-19 patients revealed overlapping expressional responses as indicated. These findings suggest that at least some of the in vivo effects of SARS-CoV-2 on human cardiac pericytes may be due to the modulation of inflammatory and epigenetic pathways triggered by the S-protein interaction with its cell surface receptors. The drawing was created with size imageTo further validate the theory of the S-protein acting as a direct transcriptomic influencer, we added it or the PBS vehicle to human primary cardiac pericytes in vitro for 48 h. RNA-Sequencing analysis indicated the differential modulation of 309 RNA transcripts, with 201 genes being up-regulated and 108 genes down-regulated by the S-protein at FDR < Fig. 1j. KEGG pathway analysis showed an overrepresentation of inflammatory pathways, for example, TNF, IL-17, and NF-kappa B signaling pathways, cytokine-cytokine receptor interaction, and cell adhesion molecules CAMs. Moreover, there was an enrichment for pathways associated with infectious diseases, including Legionellosis, Pertussis, Malaria, Herpes virus, and Epstein-Barr virus infection Fig. 1k. An overview of the pathway analysis based on the Reactome database further pinpointed the transcriptional induction of cytokine signaling pathways, such as IL-10, IL-4, and IL-13 signaling and Toll-like receptor cascade Fig. 1l and Supplementary Fig. S2, and the downregulation of pathways implicated in histone deacetylation and methylation and chromatin modification, and RNA polymerase-related mechanisms controlling promoter opening and clearance, transcription, and chain elongation Fig. 1l and Supplementary Fig. S2. The analysis of modulated biological processes confirmed the upregulation of cellular responses to stress and the downregulation of homeostatic responses associated with healing and angiogenesis processes Supplementary Fig. S3. A comprehensive list of regulated pathways is provided in Supplementary Dataset to dissect clinically relevant targets further, we cross-interrogated the transcriptional landscape of pericytes exposed in vitro to the recombinant S-protein and pericytes from the hearts of COVID-19 patients. Additionally, we employed a pseudo-time inference approach to probe individual genes’ expression dynamics along with the progression of the disease. To this aim, we extracted pericytes from the integrated Seurat, R object downloaded from Delorey et al., 20219 using marker genes followed by a pseudo-time analysis of pericytes collected from the heart of COVID-19 patients Fig. 1m. The pseudo-time analysis allowed the identification of pericyte genes that are differential and co-expressed along the trajectory. This resulted in the recognition of 37 gene clusters Fig. 1n. Next, to identify common signals between ex vivo and in vivo datasets, we tested for the overrepresentation of expressional changes in pericytes exposed to S-protein and gene clusters in the human heart. We observed that seven gene clusters 1, 2, 6, 13, 15, 20, and 27, FDR < significantly overlapped with the expressional changes observed in pericytes exposed to the S-protein experiment Fig. 1o. Cluster 15 was enriched for cytokine-related pathways, metallothioneins, and regulation of histone acetylation, while clusters 1, 6 and 27 were overrepresented for extracellular matrix organization, elastic fibre formation, and integrin cell surface interactions Fig. 1p and Supplementary Dataset 2. Studies have reported that COVID-19 can cause cardiovascular complications due to impaired extracellular matrix organisation and reduced elastic fibre levels, potentially leading to blood These findings suggest a convergence of signals that proteins of the virion envelope mediate at least part of the transcriptional changes induced by the virus in the hearts of infected people. Therefore, some of the in vivo effects of SARS-CoV-2 on human cardiac pericytes may be attributable to the interaction between the S-protein and the host’s transcriptomic program modulating inflammatory and epigenetic we performed drug target enrichment analysis using the LINCS L1000CDS and DrugBank databases. This analysis allowed us to identify drugs that reverse the expressional changes induced by the S-protein in pericytes Supplementary Dataset 3 and 4. Among the top fifty compounds, we found a prevalence of anti-tumoral, pro-apoptotic, anti-viral, anti-inflammatory and anti-thrombotic drugs, some of which have already been trialed in COVID-19 patients. Although more research is needed to determine if pharmacological interference with the signaling emanating from the S-protein can alleviate COVID-19 outcomes, these data suggest a competitive effect of anti-inflammatory and anti-tumoral drugs. In addition, several compounds like Quercetin or ubiquitin-conjugating enzyme inhibitors may help moderate inflammation by eliminating S-Protein-induced senescent summarized in Fig. 1q provide novel evidence of the SARS-CoV-2 S-protein’s direct pathogenic action on cardiac pericytes and the heart’s microvasculature. It is plausible that the harmful effects observed in healthy mice three days after a single systemic injection of the S-protein might be intensified in the presence of cardiovascular risk factors and prolonged exposure. These possibilities merit further investigation. Moreover, we showed that the S-protein modifies the transcriptional program of human cells to the virus’ advantage. This new information could have significant implications for the treatment of COVID-19, for instance, using anti-S-protein engineering approaches to protect vascular cells. Data availabilityThe article’s data can be obtained as reasonably required from the corresponding author. The main datasets underlying transcriptomic analyses are provided as supplementary datasets Dataset 1–4. The bulk RNA-Seq raw data have been deposited in NCBI’s Gene Expression Omnibus and are accessible through GEO Series accession number N. et al. Glycated ACE2 receptor in diabetes open door for SARS-COV-2 entry in cardiomyocyte. Cardiovasc. Diabetol. 20, 99 2021.Article PubMed PubMed Central Google Scholar Sardu, C. et al. Could Anti-Hypertensive Drug Therapy Affect the Clinical Prognosis of Hypertensive Patients With COVID-19 Infection? 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The SARS-CoV-2 Spike protein disrupts human cardiac pericytes function through CD147 receptor-mediated signalling a potential non-infective mechanism of COVID-19 microvascular disease. Clin. Sci. 135, 2667–2689 2021.Article CAS Google Scholar Afzali, B., Noris, M., Lambrecht, B. N. & Kemper, C. The state of complement in COVID-19. Nat. Rev. Immunol. 22, 77–84 2022.Article CAS PubMed Google Scholar Delorey, T. M. et al. COVID-19 tissue atlases reveal SARS-CoV-2 pathology and cellular targets. Nature 595, 107–113 2021.Article CAS PubMed PubMed Central Google Scholar Shi, S. et al. Association of Cardiac Injury With Mortality in Hospitalized Patients With COVID-19 in Wuhan, China. JAMA Cardiol. 5, 802–810 2020.Article PubMed PubMed Central Google Scholar Download referencesAcknowledgementsThe authors wish to acknowledge the members of the University of Bristol COVID-19 Emergency Research Group UNCOVER for their scientific support. Drawings were generated with work was supported by the British Heart Foundation BHF project grant “Targeting the SARS-CoV-2 S-protein binding to the ACE2 receptor to preserve human cardiac pericytes function in COVID-19” PG/20/10285 to and European Commission H2020 CORDIS project COVIRNA project/id/101016072 to and and BHF Chair award CH/15/1/31199 to In addition, it was supported by a grant from the National Institute for Health Research NIHR Biomedical Research Centre at University Hospitals Bristol NHS Foundation Trust and the University of Bristol. is a postdoctoral researcher supported by the Heart Research UK translational project grant “Targeting pericytes for halting pulmonary hypertension in infants with congenital heart disease” RG2697/21/23 to and is an investigator of the Wellcome Trust 106115/Z/14/Z.Author informationAuthor notesThese authors contributed equally Elisa Avolio, Prashant K SrivastavaAuthors and AffiliationsBristol Medical School, Translational Health Sciences, University of Bristol, Bristol, UKElisa Avolio, Michele Carrabba, Christopher T. W. Tsang, Yue Gu, Anita C. Thomas & Paolo MadedduNational Heart & Lung Institute, Imperial College, London, UKPrashant K. Srivastava, Jiahui Ji & Costanza EmanueliSchool of Biochemistry, University of Bristol, Bristol, UKKapil Gupta & Imre BergerAuthorsElisa AvolioYou can also search for this author in PubMed Google ScholarPrashant K. SrivastavaYou can also search for this author in PubMed Google ScholarJiahui JiYou can also search for this author in PubMed Google ScholarMichele CarrabbaYou can also search for this author in PubMed Google ScholarChristopher T. W. TsangYou can also search for this author in PubMed Google ScholarYue GuYou can also search for this author in PubMed Google ScholarAnita C. ThomasYou can also search for this author in PubMed Google ScholarKapil GuptaYou can also search for this author in PubMed Google ScholarImre BergerYou can also search for this author in PubMed Google ScholarCostanza EmanueliYou can also search for this author in PubMed Google ScholarPaolo MadedduYou can also search for this author in PubMed Google research conception and design. manuscript writing. histological analyses of mice hearts. cellular and molecular biology experiments. transcriptomic analyses in pericytes. in vivo procedures with mice. production and provision of Spike protein. funding, supervision of transcriptomic studies, and manuscript editing. funding provision. study supervision. All authors data interpretation and manuscript revision. All authors approved the authorship and the final version of the manuscript for authorCorrespondence to Paolo declarations Competing interests The authors declare no competing interests. Ethics declarations The animal study was covered by a license from the British Home Office PPL 1377882 and complied with EU Directive 2010/63/EU. Procedures were carried out according to the principles in the Guide for the Care and Use of Laboratory Animals The Institute of Laboratory Animal Resources, 1996. Termination was conducted according to humane methods outlined in the Guidance on the Operation of the Animals Scientific Procedures Act 1986 Home Office 2014. The collection of human patients’ cardiac waste tissue was covered by the ethical approval number 15/LO/1064 from the North Somerset and South Bristol Research Ethics Committee. Patients gave informed written consent. Supplementary informationRights and permissions Open Access This article is licensed under a Creative Commons Attribution International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit Reprints and PermissionsAbout this articleCite this articleAvolio, E., Srivastava, Ji, J. et al. Murine studies and expressional analyses of human cardiac pericytes reveal novel trajectories of SARS-CoV-2 Spike protein-induced microvascular damage. Sig Transduct Target Ther 8, 232 2023. citationReceived 11 January 2023Revised 28 April 2023Accepted 08 May 2023Published 02 June 2023DOI

Sumber Kementerian Kesehatan RI. Panduan teknis pelayanan Rumah Sakit pada masa adaptasi kebiasaan baru.. ALUR DAN ZONASI COVID-19.. Sumber: Kementerian Kesehatan RI. . 2021 Dec;93126813-6817. doi Epub 2021 Aug 5. Affiliations PMID 34314037 PMCID PMC8427121 DOI Free PMC article The dynamics of quantitative SARS-CoV-2 antispike IgG response to BNT162b2 vaccination Shun Kaneko et al. J Med Virol. 2021 Dec. Free PMC article Abstract Vaccination for SARS-CoV-2 is necessary to overcome coronavirus disease 2019 COVID-19. However, the time-dependent vaccine-induced immune response is not well understood. This study aimed to investigate the dynamics of SARS-CoV-2 antispike immunoglobulin G IgG response. Medical staff participants who received two sequential doses of the BNT162b2 vaccination on days 0 and 21 were recruited prospectively from the Musashino Red Cross Hospital between March and May 2021. The quantitative antispike receptor-binding domain RBD IgG antibody responses were measured using the Abbott SARS-CoV-2 IgGII Quant assay cut off ≥50 AU/ml. A total of 59 participants without past COVID-19 history were continuously tracked with serum samples. The median age was 41 22-75 years, and 14 participants were male The median antispike RBD IgG and seropositivity rates were 0 AU/ml, AU/ml, AU/ml, 18, AU/ml, and 0%, 0%, and 100% on days 0, 3, 14, and 28 after the first vaccination, respectively. The antispike RBD IgG levels were significantly increased after day 14 from vaccination p < The BNT162b2 vaccination led almost all participants to obtain serum antispike RBD IgG 14 days after the first dose. Keywords COVID-19; SARS-Cov-2; mRNA vaccine; quantitative antispike RBD IgG. © 2021 Wiley Periodicals LLC. Conflict of interest statement The authors declare that there are no conflict of interests. Figures Figure 1 Dynamics of SARS‐CoV‐2 antispike RBD IgG response after vaccination. A Schema of the schedule for vaccination and blood test. B Antispike RBD IgG titer AU/ml and seropositive rate of antispike RBD IgG and antinucleocapsid IgG in a time‐dependent manner. RBD, receptor‐binding domain Similar articles Evaluation of Humoral Immune Response after SARS-CoV-2 Vaccination Using Two Binding Antibody Assays and a Neutralizing Antibody Assay. Nam M, Seo JD, Moon HW, Kim H, Hur M, Yun YM. Nam M, et al. Microbiol Spectr. 2021 Dec 22;93e0120221. doi Epub 2021 Nov 24. Microbiol Spectr. 2021. PMID 34817223 Free PMC article. Healthcare Workers in South Korea Maintain a SARS-CoV-2 Antibody Response Six Months After Receiving a Second Dose of the BNT162b2 mRNA Vaccine. Choi JH, Kim YR, Heo ST, Oh H, Kim M, Lee HR, Yoo JR. Choi JH, et al. Front Immunol. 2022 Jan 31;13827306. doi eCollection 2022. Front Immunol. 2022. PMID 35173736 Free PMC article. Evaluation of Seropositivity Following BNT162b2 Messenger RNA Vaccination for SARS-CoV-2 in Patients Undergoing Treatment for Cancer. Massarweh A, Eliakim-Raz N, Stemmer A, Levy-Barda A, Yust-Katz S, Zer A, Benouaich-Amiel A, Ben-Zvi H, Moskovits N, Brenner B, Bishara J, Yahav D, Tadmor B, Zaks T, Stemmer SM. Massarweh A, et al. JAMA Oncol. 2021 Aug 1;781133-1140. doi JAMA Oncol. 2021. PMID 34047765 Free PMC article. Evaluation of the SARS-CoV-2 Antibody Response to the BNT162b2 Vaccine in Patients Undergoing Hemodialysis. Yau K, Abe KT, Naimark D, Oliver MJ, Perl J, Leis JA, Bolotin S, Tran V, Mullin SI, Shadowitz E, Gonzalez A, Sukovic T, Garnham-Takaoka J, de Launay KQ, Takaoka A, Straus SE, McGeer AJ, Chan CT, Colwill K, Gingras AC, Hladunewich MA. Yau K, et al. JAMA Netw Open. 2021 Sep 1;49e2123622. doi JAMA Netw Open. 2021. PMID 34473256 Free PMC article. Review of SARS-CoV-2 Antigen and Antibody Testing in Diagnosis and Community Surveillance. Nerenz RD, Hubbard JA, Cervinski MA. Nerenz RD, et al. Clin Lab Med. 2022 Dec;424687-704. doi Clin Lab Med. 2022. PMID 36368790 Free PMC article. Review. No abstract available. Cited by Higher Immunological Response after BNT162b2 Vaccination among COVID-19 Convalescents-The Data from the Study among Healthcare Workers in an Infectious Diseases Center. Skrzat-Klapaczyńska A, Kowalska JD, Paciorek M, Puła J, Bieńkowski C, Krogulec D, Stengiel J, Pawełczyk A, Perlejewski K, Osuch S, Radkowski M, Horban A. Skrzat-Klapaczyńska A, et al. Vaccines Basel. 2022 Dec 15;10122158. doi Vaccines Basel. 2022. PMID 36560567 Free PMC article. Measurements of Anti-SARS-CoV-2 Antibody Levels after Vaccination Using a SH-SAW Biosensor. Cheng CH, Peng YC, Lin SM, Yatsuda H, Liu SH, Liu SJ, Kuo CY, Wang RYL. Cheng CH, et al. Biosensors Basel. 2022 Aug 4;128599. doi Biosensors Basel. 2022. PMID 36004995 Free PMC article. Relationship between changes in symptoms and antibody titers after a single vaccination in patients with Long COVID. Tsuchida T, Hirose M, Inoue Y, Kunishima H, Otsubo T, Matsuda T. Tsuchida T, et al. J Med Virol. 2022 Jul;9473416-3420. doi Epub 2022 Mar 8. J Med Virol. 2022. PMID 35238053 Free PMC article. The Comparability of Anti-Spike SARS-CoV-2 Antibody Tests is Time-Dependent a Prospective Observational Study. Perkmann T, Mucher P, Perkmann-Nagele N, Radakovics A, Repl M, Koller T, Schmetterer KG, Bigenzahn JW, Leitner F, Jordakieva G, Wagner OF, Binder CJ, Haslacher H. Perkmann T, et al. Microbiol Spectr. 2022 Feb 23;101e0140221. doi Epub 2022 Feb 23. Microbiol Spectr. 2022. PMID 35196824 Free PMC article. References Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382181708‐1720. - PMC - PubMed Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID‐19 in Wuhan, China a retrospective cohort study. Lancet. 2020;395102291054‐1062. - PMC - PubMed Zheng Z, Peng F, Xu B, et al. Risk factors of critical & mortal COVID‐19 cases a systematic literature review and meta‐analysis. J Infect. 2020;8116. - PMC - PubMed Hu Y, Sun J, Dai Z, et al. Prevalence and severity of corona virus disease 2019 COVID‐19 a systematic review and meta‐analysis. J Clin Virol. 2020;127104371. - PMC - PubMed World Health Organization . Coronavirus disease COVID‐19. Situation report. Accessed, May 17th, MeSH terms Substances LinkOut - more resources Full Text Sources Europe PubMed Central Ovid Technologies, Inc. PubMed Central Wiley Medical Genetic Alliance MedlinePlus Health Information Miscellaneous NCI CPTAC Assay Portal

Tesantibodi kuantitatif untuk covid-19 ini dilakukan agar dapat mengetahui jumlah antibodi yang spesifik yang ada didalam tubuh. Antibodi tersebut dapat dikatakan dengan SARS-COV-2, kemudian tes ini juga dapat menunjukan hasil dari respon kekebalan tubuh seseorang terhadap virus sars-cov-2 ini. Tes Serologi Covid-19

Petugas memeriksa beberapa sampel PCR COVID-19 ilustrasi. JAKARTA - Pendistribusian vaksin SARS-CoV-2 alias Covid-19 tengah berlangsung. Di tengah kondisi itu, banyak pertanyaan bermunculan terkait seberapa besar kekebalan tubuh seseorang yang pernah terpapar Covid-19. Menurut Muhammad Irhamsyah, dokter spesialis patologi di Klinik Primaya Hospital Bekasi Barat dan Bekasi Timur, ada metode untuk memeriksanya. Kekebalan tubuh terhadap Covid-19 bisa diketahui melalui tes antibodi SARS-CoV-2 kuantitatif. "Pemeriksaan ini dapat dilakukan pada orang-orang yang pernah terinfeksi Covid-19, orang yang sudah mendapatkan vaksinasi, serta dapat digunakan untuk mengukur antibodi pada donor plasma konvalesen yang akan ditransfusikan," ujar Irhamsyah. Tes mendeteksi protein yang disebut antibodi, khususnya antibodi spesifik terhadap SARS-CoV-2. Prinsipnya menggunakan pemeriksaan laboratorium imunoserologi pada sebuah alat automatik autoanalyzer untuk mendeteksi antibodi itu. Pemeriksaan ini biasa disebut dengan ECLIA Electro chemiluminescence immunoassay. ECLIA mendeteksi, mengikat, serta mengukur antibodi netralisasi, yaitu antibodi yang berikatan spesifik pada struktur protein Spike SARS-CoV-2. Protein itu terdapat pada permukaan virus Covid-19 sebelum memasuki sel-sel pada tubuh. Pengukuran menggunakan label-label yang berikatan spesifik dengan antibodi netralisasi. Jenis sampel yang digunakan yakni sampel serum dan plasma. BACA JUGA Ikuti News Analysis News Analysis Isu-Isu Terkini Perspektif Klik di Sini

Memang benar, sengaja kami melakukan tes serologi kuantitatif sehingga mendapatkan angka untuk melihat perkembangan setelah dua kali dilakukan penyuntikan vaksin ini dan hasilnya serum anti

Ao longo da pandemia de Covid-19, muitos nomes que não costumavam fazer parte da nossa vida se tornaram comuns. Boa parte dessas palavras novas são semelhantes e até parecem sinônimos, mas se referem a conceitos diferentes. Entender exatamente o que quer dizer cada novo termo da pandemia é importante para evitar a propagação de informações falsas ou incompletas. A diretora do Laboratório de Biotecnologia Viral do Instituto Butantan, Soraia Attie Calil Jorge, explica alguns desses conceitos e mostra por que é tão importante entendê-los. Vírus x Bactérias Vírus seres que dependem de outros para se reproduzir, ou seja, que precisam infectar células humanas, de plantas e até de bactérias para dar origem a seus descendentes. Não possuem células por isso se discute se são seres vivos ou não, apenas material genético e proteína. Às vezes, levam consigo parte da membrana da célula que infectaram; por isso, existem vírus envelopados e vírus não-envelopados, sendo que o envelopado é aquele que passou a ter em sua formação parte da membrana da célula invadida. Quando entram em nosso corpo, rompendo a membrana para se multiplicar, geralmente estouram nossas células, causando sua lise dissolução. Bactéria organismos mais independentes do que os vírus. São células que possuem material genético e diversos mecanismos para se desenvolver e multiplicar, sem precisar de outra célula. Por mais que algumas sejam prejudiciais ao nosso corpo, existem certas bactérias em nosso organismo que são benéficas e não causam doença alguma, geralmente fornecem substâncias importantes ou regulam parte do nosso metabolismo. Coronavírus X SARS-CoV-2 X Covid-19 Coronavírus nome dado a uma extensa família de vírus que se assemelham. Muitos deles já nos infectaram diversas vezes ao longo da história da humanidade. Dentro dessa família há vários tipos de coronavírus, inclusive os chamados SARS-CoVs a síndrome respiratória aguda grave, conhecida pela sigla SARS, que há alguns anos começou na China e se espalhou para países da Ásia, também é causada por um coronavírus. SARS-CoV-2 vírus da família dos coronavírus que, ao infectar humanos, causa uma doença chamada Covid-19. Por ser um microrganismo que até pouco tempo não era transmitido entre humanos, ele ficou conhecido, no início da pandemia, como “novo coronavírus”. Covid-19 doença que se manifesta em nós, seres humanos, após a infecção causada pelo vírus SARS-CoV-2. Prevalência x Incidência Prevalência visão geral de uma doença, ou seja, quantos casos ou mortes aquela doença provocou em sua totalidade. No Brasil, já temos mais de 21 milhões de casos e mais de 588 mil mortes por Covid-19, então esse número equivale à prevalência da doença. Incidência é um indicador mais fechado, que não olha em âmbito geral para uma doença, mas traça um recorte em determinado período de tempo. Em agosto, o Brasil registrou a menor incidência mensal de mortes por Covid-19 em 2021, com pouco mais de 24 mil óbitos. Mortalidade x Letalidade Mortalidade É o tanto de pessoas que adoeceram e morreram em relação a toda a população de uma região. Tem relação com um cenário geral, como a totalidade de mortos por determinada doença em uma população inteira durante uma pandemia, epidemia ou surto. Letalidade está ligada ao patógeno o vírus SARS-CoV-2, no caso e avalia o número de mortes em relação às pessoas que apresentam a doença ativa, e não em relação à população toda. Em outras palavras, mede a porcentagem de pessoas infectadas que evoluem para óbito. O SARS-CoV-2 não tem uma alta letalidade 2,9%, pois muitas pessoas que contraem o vírus ficam assintomáticas, às vezes sem nem mesmo saber que estão infectadas.

Introduction Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), was discovered following an outbreak of viral pneumonia (COVID-19) cases in Wuhan in 2019 [].This outbreak quickly spread all over China and then to more than 20 other countries [].Coronavirus is a large family of viruses whose members are known to cause fever, Middle East respiratory syndrome The development timeline of COVID-19 vaccines is unprecedented, with more than 300 vaccine developers active worldwide. Vaccine candidates developed with various technology platforms targeting different epitopes of SARS-CoV-2 are in the pipeline. Vaccine developers are using a range of immunoassays with different readouts to measure immune responses after vaccination, making comparisons of the immunogenicity of different COVID-19 vaccine candidates April, 2020, in a joint effort, the Coalition for Epidemic Preparedness Innovations CEPI, the National Institute for Biological Standards and Control NIBSC, and WHO provided vaccine developers and the entire scientific community with a research reagent for an anti-SARS-CoV-2 antibody. The availability of this material was crucial for facilitating the development of diagnostics, vaccines, and therapeutic preparations. This effort was an initial response when NIBSC, in its capacity as a WHO collaborating centre, was working on the preparation of the WHO International Standards. This work included a collaborative study that was launched in July, 2020, to test serum samples and plasma samples sourced from convalescent patients with the aim of selecting the most suitable candidate material for the WHO International Standards for anti-SARS-CoV-2 immunoglobulin. The study involved 44 laboratories from 15 countries and the use of live and pseudotype-based neutralisation assays, ELISA, rapid tests, and other methods. The outcomes of the study were submitted to WHO in November, 2020. The inter-laboratory variation was reduced more than 50 times for neutralisation and 2000 times for ELISA when assay values were reported relative to the International International Standard and International Reference Panel for anti-SARS-CoV-2 immunoglobulins were adopted by the WHO Expert Committee on Biological Standardization on Dec 10, WHO International Standard for anti-SARS-CoV-2 Scholar The International Standard allows the accurate calibration of assays to an arbitrary unit, thereby reducing inter-laboratory variation and creating a common language for reporting data. The International Standard is based on pooled human plasma from convalescent patients, which is lyophilised in ampoules, with an assigned unit of 250 international units IU per ampoule for neutralising activity. For binding assays, a unit of 1000 binding antibody units BAU per mL can be used to assist the comparison of assays detecting the same class of immunoglobulins with the same specificity eg, anti-receptor-binding domain IgG, anti-N IgM, etc The International Standard is available in the NIBSC have been launched for the harmonisation of immune response assessment across COVID-19 vaccine candidates, including the CEPI Global Centralised Laboratory for Epidemic Preparedness InnovationsCEPI establishes global network of laboratories to centralise assessment of COVID-19 vaccine Scholar CEPI centralised laboratories will achieve harmonisation of the results from different vaccine clinical trials with the use of common standard operating procedures and the same crucial reagents, including a working standard calibrated to the international basic tool for any harmonisation is the global use of an International Standard and IU to which assay data need to be calibrated with the use of a reliable method. It is therefore crucial that the International Standard is properly used by all vaccine developers, national reference laboratories, and academic groups worldwide, and that immunogenicity results are reported as an international standard unit IU/mL for neutralising antibodies and BAU/mL for binding assay formats.In this manner, the results from clinical trials expressed in IU would allow for the comparison of the immune responses after natural infection and induced by various vaccine candidates. This comparison is particularly important for the identification of correlates of protection against COVID-19; should neutralising antibodies be further supported as a component of the protective response, the expression of antibody responses in IU/mL is essential to gather a consensus from several clinical trials and other studies on the titre required for the correlate of protection against SARS-2-CoV has not yet been unequivocally defined, antibodies are likely to be at least part of the protective response. The effect of new variants on the evaluation of antibodies is obvious and unequivocal comparisons are required. Reporting the immunological responses from vaccine clinical trials against the International Standard is essential for the evaluation of clinical data submitted to national regulatory authorities as well as to WHO for emergency use listing, especially as placebo-controlled efficacy studies become operationally unfeasible. There will be a substantial effect on the use of the International Standard if regulatory authorities worldwide request data in IU/mL or BAU/mL. We also encourage journal editors and peer reviewers to ensure that the international standard is used as the benchmark in publications and that data from serology assays are reported in International Standard declare no competing TT Cramer JP Chen R Mayhew S Evolution of the COVID-19 vaccine development Rev Drug Discov. 2020; 19 WHO International Standard for anti-SARS-CoV-2 for Epidemic Preparedness InnovationsCEPI establishes global network of laboratories to centralise assessment of COVID-19 vaccine infoPublication historyPublished March 23, 2021IdentificationDOI Copyright © 2021 Published by Elsevier Ltd. All rights this article on ScienceDirectView Large ImageDownload Hi-res image Download .PPT

vektorpQE80L. Konstruksi plasmid pengekspresi spike dan nukleokapsid SARS-CoV-2 telah berhasil dilakukan untuk mengembangkan uji deteksi antibodi anti-SARS–CoV-2 baik kualitatif maupun kuantitatif. Kata kunci: spike, nukleokapsid, SARS-CoV-2,

Estimates of SARS-CoV-2 Seroprevalence and Incidence of Primary SARS-CoV-2 Infections Among Blood Donors, by COVID-19 Vaccination Status — United States, April 2021–September 2022 Jefferson M. Jones, MD1; Irene Molina Manrique, MS2; Mars S. Stone, PhD3; Eduard Grebe, PhD3; Paula Saa, PhD4; Clara D. Germanio, PhD3; Bryan R. Spencer, PhD4; Edward Notari, MPH4; Marjorie Bravo, MD3; Marion C. Lanteri, PhD5; Valerie Green, MS5; Melissa Briggs-Hagen, MD1; Melissa M. Coughlin, PhD1; Susan L. Stramer, PhD4; Jean Opsomer, PhD2; Michael P. Busch, MD, PhD3 View author affiliations View suggested citationSummary What is already known about this topic? SARS-CoV-2 hybrid immunity immunity derived from both previous infection and vaccination has been reported to provide better protection than that from infection or vaccination alone. What is added by this report? By the third quarter of 2022, an estimated of persons aged ≥16 years in a longitudinal blood donor cohort had SARS-CoV-2 antibodies from previous infection or vaccination, including from infection alone and from vaccination alone; had hybrid immunity. Hybrid immunity prevalence was lowest among adults aged ≥65 years. What are the implications for public health practice? Low prevalence of infection-induced and hybrid immunity among older adults, who are at increased risk for severe disease if infected, reflects the success of public health infection prevention efforts while also highlighting the importance of this group staying up to date with recommended COVID-19 vaccination, including at least 1 bivalent dose. Altmetric Citations Views Views equals page views plus PDF downloads Changes in testing behaviors and reporting requirements have hampered the ability to estimate the SARS-CoV-2 incidence 1. Hybrid immunity immunity derived from both previous infection and vaccination has been reported to provide better protection than that from infection or vaccination alone 2. To estimate the incidence of infection and the prevalence of infection- or vaccination-induced antibodies or both, data from a nationwide, longitudinal cohort of blood donors were analyzed. During the second quarter of 2021 April–June, an estimated of persons aged ≥16 years had infection- or vaccination-induced SARS-CoV-2 antibodies, including from vaccination alone, from infection alone, and from both. By the third quarter of 2022 July–September, had SARS-CoV-2 antibodies from previous infection or vaccination, including from infection alone and from vaccination alone; had hybrid immunity. Prevalence of hybrid immunity was lowest among persons aged ≥65 years the group with the highest risk for severe disease if infected, and was highest among those aged 16–29 years Low prevalence of infection-induced and hybrid immunity among older adults reflects the success of public health infection prevention efforts while also highlighting the importance of older adults staying up to date with recommended COVID-19 vaccination, including at least 1 bivalent dose.*,† Since July 2020, SARS-CoV-2 seroprevalence in the United States has been estimated by testing blood donations 3. CDC, in collaboration with Vitalant, American Red Cross, Creative Testing Solutions, and Westat, established a nationwide cohort of 142,758 blood donors in July 2021; the cohort included persons who had donated blood two or more times in the preceding year.§ All blood donations collected during April–June 2021 were tested for antibodies against the spike S and nucleocapsid N proteins. Beginning in 2022, up to one blood donation sample per donor was randomly selected each quarter and tested using the Ortho VITROS SARS-CoV-2 Quantitative S immunoglobulin G¶ and total N antibody** tests. Both SARS-CoV-2 infection and COVID-19 vaccination result in production of anti-S antibodies, whereas anti-N antibodies only result from infection. At each donation, blood donors were asked if they had received a COVID-19 vaccine. Using vaccination history and results of antibody testing, the prevalence of the population aged ≥16 years with vaccine-induced, infection-induced, or hybrid immunity was estimated for four 3-month periods April–June 2021, January–March 2022, April–June 2022, and July–September 2022; in addition, the proportion of persons who transitioned from one immune status to another by quarter was estimated. Analysis was limited to 72,748 donors for whom it was possible to ascertain immune status during each period using their prior classification previously infected or vaccinated, antibody testing results, and their vaccination status at the time of each donation.†† The sample data were weighted to account for selection into the study cohort, for nonresponse during the four analysis periods, and for demographic differences between the blood donor population and the overall population. The weights were obtained through a combination of stratification and raking, an iterative weighting adjustment procedure 4. Rates of infection among those previously uninfected were estimated for each period by determining the percentage of anti-N–negative persons seroconverting to anti-N–positive from one 3-month period included in the study to the next. Estimates were stratified by age group 16–29, 30–49, 50–64, and ≥65 years and race and ethnicity§§ Asian, Black or African American [Black], White, Hispanic or Latino [Hispanic], and other. SAS version SAS Institute was used to compute the final weights, and R version R Foundation was used to calculate all the estimates and create the plots.¶¶ Seroprevalence and infection rates were estimated as weighted means and compared by demographic group and vaccination status using two-sided t-tests with a significance level of α = This activity was reviewed by CDC and conducted consistent with applicable federal law and CDC policy.*** During the first quarter examined April–June 2021, an estimated 95% CI = of persons aged ≥16 years had SARS-CoV-2 antibodies from previous infection or vaccination, including 95% CI = from vaccination alone, 95% CI = from infection alone, and 95% CI = from both Figure 1 Supplementary Figure 1, During January–March 2022, 95% CI = of persons aged ≥16 years had antibodies from previous infection or vaccination, including 95% CI = from vaccination alone, 95% CI = from infection alone, and 95% CI = from both. During July–September 2022, 95% CI = of persons had antibodies from previous infection or vaccination, including 95% CI = with vaccine-induced immunity alone, 95% CI = with infection-induced immunity alone, and 95% CI = with hybrid immunity. During July–September 2022, the prevalence of infection-induced immunity was 95% CI = among unvaccinated persons and 95% CI = among vaccinated persons. During July–September 2022, the lowest prevalence of hybrid immunity, 95% CI = was observed in persons aged ≥65 years, and the highest, 95% CI = in adolescents and young adults aged 16–29 years Figure 2 Supplementary Figure 2, During all periods, higher prevalences of hybrid immunity were observed among Black and Hispanic populations than among White and Asian populations Supplementary Figure 3, Among persons with no previous infection, the incidence of first infections during the study period conversion from anti-N–negative to anti-N–positive was higher among unvaccinated persons Table. From April–June 2021 through January–March 2022, the incidence of first SARS-CoV-2 infections among unvaccinated persons was compared with among vaccinated persons p< From January–March 2022 through April–June 2022, the incidence among unvaccinated persons was and was among vaccinated persons. Between April–June 2022 and July–September 2022, the incidence among unvaccinated persons was compared with among vaccinated persons p< Incidence of first SARS-CoV-2 infections was higher among younger than among older persons and was lower among Asian persons than among other racial and ethnic populations, but the differences among groups narrowed over time. Discussion Both infection-induced and hybrid immunity increased during the study period. By the third quarter of 2022, approximately two thirds of persons aged ≥16 years had been infected with SARS-CoV-2 and one half of all persons had hybrid immunity. Compared with vaccine effectiveness against any infection and against severe disease or hospitalization, the effectiveness of hybrid immunity against these outcomes has been shown to be higher and wane more slowly 2. This increase in seroprevalence, including hybrid immunity, is likely contributing to lower rates of severe disease and death from COVID-19 in 2022–2023 than during the early pandemic.††† The prevalence of hybrid immunity is lowest in adults aged ≥65 years, likely due to higher vaccination coverage and earlier availability of COVID-19 vaccines for this age group, as well as to higher prevalences of behavioral practices to avoid infection 5. However, lower prevalences of infection-induced and hybrid immunity could further increase the risk for severe disease in this group, highlighting the importance for adults aged ≥65 years to stay up to date with COVID-19 vaccination and have easy access to antiviral medications. COVID-19 vaccine efficacy studies have reported reduced effectiveness against SARS-CoV-2 infection during the Omicron-predominant period compared with earlier periods and have shown that protection against infection wanes more rapidly than does protection against severe disease 6,7. In this study, unvaccinated persons had higher rates of infection as evidenced by N antibody seroconversion than did vaccinated persons, indicating that vaccination provides some protection against infection. The differences in incidence could also be due to systematic differences between vaccinated and unvaccinated persons in terms of the prevalence of practicing prevention behaviors such as masking and physical distancing. The relative difference in infection rates narrowed during the most recent months, possibly because of waning of vaccine-induced protection against infection in the setting of increased time after vaccination or immune evasion by the SARS-CoV-2 Omicron variant. The narrowing of difference in infection rates might also be attributable to increasing similarities in behavior among vaccinated and unvaccinated persons during late 2022 8. The findings in this report are subject to at least six limitations. First, although COVID-19 booster vaccine doses and reinfections can strengthen immunity 9,10, this analysis did not account for these effects because blood donor vaccination history did not include the number of doses received, and data on reinfections were not captured. Second, immunity wanes over time, but time since vaccination or infection was not included in the analysis 2. Third, vaccination status was self-reported, potentially leading to misclassification. Fourth, although the results were adjusted based on differences in blood donor and general population demographics, estimates from blood donors might not be representative of the general population; thus, these results might not be generalizable. Fifth, vaccinated and unvaccinated persons might differ in other ways not captured by this analysis 8, nor can causality be inferred from the results on relative infection incidence. Finally, if both vaccination and infection occurred between blood donations included in the study, the order of occurrence could not be determined, and some unvaccinated donors might have been vaccinated before infection and thus misclassified; in 2022, this was uncommon and occurred in < of donors during any 3-month period. This report found that the incidence of first-time SARS-CoV-2 infection was lower among persons who had received COVID-19 vaccine than among unvaccinated persons and that infection-induced and hybrid immunity have increased but remain lowest in adults aged ≥65 years. These adults have consistently had a higher risk for severe disease compared with younger age groups, underscoring the importance of older adults staying up to date with recommended COVID-19 vaccination, including at least 1 bivalent dose. Acknowledgments Brad Biggerstaff, Matthew McCullough, CDC; Roberta Bruhn, Brian Custer, Xu Deng, Zhanna Kaidarova, Kathleen Kelly, Anh Nguyen, Graham Simmons, Hasan Sulaeman, Elaine Yu, Karla Zurita-Gutierrez, Vitalant Research Institute; Akintunde Akinseye, Jewel Bernard-Hunte, Robyn Ferg, Rebecca Fink, Caitlyn Floyd, Isaac Lartey, Sunitha Mathews, David Wright, Westat; Jamel Groves, James Haynes, David Krysztof, American Red Cross; Ralph Vassallo, Vitalant; Sherri Cyrus, Phillip Williamson, Creative Testing Solutions; Paul Contestable, QuidelOrtho; Steve Kleinman, University of British Columbia; CDC, Vitalant Research Institute, Westat, American Red Cross, and Creative Testing Solutions staff members; blood donors whose samples were analyzed and who responded to surveys for this study. Corresponding author Jefferson M. Jones, ioe8 Center for Immunization and Respiratory Diseases, CDC; 2Westat, Rockville, Maryland; 3Vitalant Research Institute, San Francisco, California; 4American Red Cross, Washington, DC; 5Creative Testing Solutions, Tempe, authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed. * † § Blood donors who donated at least twice during the year before July 2021 were included in the cohort, because they might represent persons who were more likely to donate frequently. Among donors who donated more than once during a quarter, one sample was selected at random for testing. ¶ ** †† §§ Persons of Hispanic origin might be of any race but are categorized as Hispanic; all racial groups are non-Hispanic. ¶¶ Jackknife replication was used to compute replicate weights. Weights were adjusted for nonresponse using adjustment cells created by age category, vaccination and previous infection status, and blood collection organization Vitalant or American Red Cross. Raking was used to further adjust the weights to account for demographic differences between the blood donor population and population. The demographic variables used for raking were sex female and male, age group 16–24, 25–34, 35–44, 45–54, 55–64, and ≥65 years, and race and ethnicity Asian, Black, White, Hispanic, and other. *** 45 part 46, 21 part 56; 42 Sect. 241d; 5 Sect. 552a; 44 Sect. 3501 et seq. ††† Accessed May 25, 2023. References Rader B, Gertz A, Iuliano AD, et al. Use of at-home COVID-19 tests—United States, August 23, 2021–March 12, 2022. MMWR Morb Mortal Wkly Rep 2022;71489–94. PMID35358168 Bobrovitz N, Ware H, Ma X, et al. Protective effectiveness of previous SARS-CoV-2 infection and hybrid immunity against the Omicron variant and severe disease a systematic review and meta-regression. Lancet Infect Dis 2023;23556–67. PMID36681084 Jones JM, Stone M, Sulaeman H, et al. Estimated US infection- and vaccine-induced SARS-CoV-2 seroprevalence based on blood donations, July 2020–May 2021. JAMA 2021;3261400–9. PMID34473201 Deville J-C, Särndal C-E, Sautory O. Generalized raking procedures in survey sampling. J Am Stat Assoc 1993;881013–20. Steele MK, Couture A, Reed C, et al. Estimated number of COVID-19 infections, hospitalizations, and deaths prevented among vaccinated persons in the US, December 2020 to September 2021. JAMA Netw Open 2022;5e2220385. PMID35793085 Higdon MM, Wahl B, Jones CB, et al. A systematic review of coronavirus disease 2019 vaccine efficacy and effectiveness against severe acute respiratory syndrome coronavirus 2 infection and disease. Open Forum Infect Dis 2022;9ofac138. PMID35611346 Feikin DR, Higdon MM, Abu-Raddad LJ, et al. Duration of effectiveness of vaccines against SARS-CoV-2 infection and COVID-19 disease results of a systematic review and meta-regression. Lancet 2022;399924–44. PMID35202601 Thorpe A, Fagerlin A, Drews FA, Shoemaker H, Scherer LD. Self-reported health behaviors and risk perceptions following the COVID-19 vaccination rollout in the USA an online survey study. Public Health 2022;20868–71. PMID35717747 Sette A, Crotty S. Immunological memory to SARS-CoV-2 infection and COVID-19 vaccines. Immunol Rev 2022;31027–46. PMID35733376 Atti A, Insalata F, Carr EJ, et al.; SIREN Study Group and the Crick COVID Immunity Pipeline Consortium. Antibody correlates of protection from SARS-CoV-2 reinfection prior to vaccination a nested case-control within the SIREN study. J Infect 2022;85545–56. PMID36089104 FIGURE 1. Prevalences of vaccine-induced, infection-induced, and hybrid* immunity† against SARS-CoV-2 among blood donors aged ≥16 years — United States, April 2021–September 2022 * Immunity derived from a combination of vaccination and infection. † Ascertained by the presence of anti-spike antibodies present in both COVID-19–vaccinated and SARS-CoV-2–infected persons and anti-nucleocapsid antibodies present only in previously infected persons and self-reported history of vaccination. FIGURE 2. Prevalences of vaccine-induced, infection-induced, and hybrid* immunity† against SARS-CoV-2 among blood donors aged ≥16 years, by age group — United States, April 2021–September 2022 * Immunity derived from a combination of vaccination and infection. † Ascertained by the presence of anti-spike antibodies present in both COVID-19–vaccinated and SARS-CoV-2–infected persons and anti-nucleocapsid antibodies present only in previously infected persons and self-reported history of vaccination. TABLE. Estimated percentage* of persons infected with SARS-CoV-2 for the first time among blood donors, by analysis quarter, sociodemographic characteristics, and vaccination status — United States, April 2021–September 2022 Characteristic Period, % 95% CI Apr–Jun 2021 to Jan–Mar 2022 Jan–Mar 2022 to Apr–Jun 2022 Apr–Jun 2022 to Jul–Sep 2022 Overall Total Unvaccinated Vaccinated Age group, yrs 16–29 Total Unvaccinated Vaccinated 30–49 Total Unvaccinated Vaccinated 50–64 Total Unvaccinated Vaccinated ≥65 Total Unvaccinated Vaccinated Race and ethnicity§ Asian Total Unvaccinated Vaccinated Black or African American Total Unvaccinated Vaccinated White Total Unvaccinated Vaccinated Hispanic or Latino Total Unvaccinated Vaccinated Other and multiple races¶ Total Unvaccinated Vaccinated * Percentage of uninfected persons anti-nucleocapsid–negative in the previous 3-month period seroconverting to anti-nucleocapsid–positive. If both vaccination and infection occurred between donations included in the study, the order could not be determined, and some unvaccinated donors might have been vaccinated before infection and thus misclassified. † If donors who transitioned from no antibodies to hybrid immunity between April–June 2021 and January–March 2022 were excluded, an estimated 95% CI = of unvaccinated donors were infected. For other periods, exclusion did not substantially change results. Between January–March and April–June 2022, of persons shifted from no antibodies to hybrid immunity. Between April–June and July–September 2022, of persons shifted from no antibodies to hybrid immunity. § Persons of Hispanic or Latino Hispanic origin might be of any race but are categorized as Hispanic; all racial groups are non-Hispanic. ¶ Includes American Indian or Alaska Native and non-Hispanic persons of other races. Suggested citation for this article Jones JM, Manrique IM, Stone MS, et al. Estimates of SARS-CoV-2 Seroprevalence and Incidence of Primary SARS-CoV-2 Infections Among Blood Donors, by COVID-19 Vaccination Status — United States, April 2021–September 2022. MMWR Morb Mortal Wkly Rep 2023;72601–605. DOI MMWR and Morbidity and Mortality Weekly Report are service marks of the Department of Health and Human Services. Use of trade names and commercial sources is for identification only and does not imply endorsement by the Department of Health and Human Services. References to non-CDC sites on the Internet are provided as a service to MMWR readers and do not constitute or imply endorsement of these organizations or their programs by CDC or the Department of Health and Human Services. CDC is not responsible for the content of pages found at these sites. URL addresses listed in MMWR were current as of the date of publication. All HTML versions of MMWR articles are generated from final proofs through an automated process. 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IntroductionIt has been more than one year since the first reported case of the novel coronavirus disease 2019 COVID-19, which has already cost more than 2 million lives Fortunately, vaccines against severe acute respiratory syndrome coronavirus 2 SARS-CoV-2 have been developed with record-breaking speed and vaccine programs are ongoing worldwide to take the pandemic under During this expansion of research focus from treatment to prevention of COVID-19, the immune evasion mechanism and immunopathogenic nature of SARS-CoV-2 adds uncertainty to the efficacy of this global vaccination During natural infection, SARS-CoV-2 could avoid the innate antiviral response mediated by interferons IFNs via an array of possible strategies,4,5 which not only leads to viral replication and spreading but also could delay or impair the adaptive immune response including T cell and antibody The significant prevalence of SARS-CoV-2 RNA re-positive cases among discharged patients further raises the concern about the effectiveness and persistency of immune responses after natural Recent long-term follow-up surveys report significant decrease of SARS-CoV-2 antibody titers 5 to 8 months after infection,10,11,12 but its correlation with reduced capacity of SARS-CoV-2 neutralization and immune memory is still vaccination, equally important is the recovery and rehabilitation of COVID-19 Mild cases usually do not require hospitalization but may share similar long-lasting symptoms or discomforts with severe cases, which may reduce life quality after recovery from Also, cardiac magnet resonance imaging cMRI screening revealed surprisingly high prevalence of subclinical myocardial inflammation and fibrosis in recently recovered Due to the overloading of medical systems and the fear of in-hospital transmission, long-term follow-up studies of the structural and functional recovery of COVID-19-involved organs are still this prospective cohort study of recovered COVID-19 patients from Xiangyang, China, we aimed to assess long-term antibody response at 12 months after infection and comprehensively evaluate the structural and functional recovery of the lung and cardiovascular systems. We also attempted to identify potential risk factors associated with those long-term January 15 through 31 March 2020, a total of 307 patients were diagnosed with COVID-19 at Xiangyang Central Hospital, which represented of 549 cases in the downtown and of 1175 cases city-wide. During hospitalization, 12 patients succumbed to COVID-19-induced respiratory distress or lethal infection, which translated to a mortality rate of in line with the citywide mortality rate of 40/1175. All 295 survivors were invited to participate in this study and the final cohort consisted of 121 survivors including 19 recovered from severe COVID-19 Supplementary Fig. 1. Clinical procedures were performed at Xiangyang Central Hospital between 25 December 2020 and 29 January and clinical features of participantsDemographic-wise, this cohort consisted of middle-aged Chinese population with an overall comorbidity prevalence of including hypertension and diabetes as the most common preexisting conditions, which was typical for the local agricultural and industrial population with a preference of high-salt diets Table 1. The participants of this study were among the earliest confirmed COVID-19 patients with virological confirmation dates as early as January 19, 2020. Standard of care consisted of antivirals, antibiotics, immunomodulants and supplemental oxygen was given to participants following CDC guidelines Supplementary Table 1. Only 1 in this cohort received invasive ventilation Supplementary Table 1, which reflected the dismal mortality rate among critically ill patients relying on respiratory Of note, the basic characteristics of this cohort were comparable with the entire population of COVID-19 survivors treated at this hospital Supplementary Table 2.Table 1 Characteristics of participants by COVID-19 severityFull size tableAfter stratifying the cohort by severity graded according to the guideline,21 severe groups had higher ages, less females, and more comorbidities Table 1. Severe group also presented more symptoms at admission, and received more aggressive immunomodulatory therapies, supplemental oxygen, and ICU care during hospitalization Supplementary Table 1. Both severe and non-severe groups share similar lengths since symptom onset, while the severe group had shorter periods since recovery because of longer hospitalization Table 1.Long-lasting SARS-CoV-2 antibody response 1-year after infectionFirst, blood samples were screened by colloidal gold-based immunochromatographic assays GICA separately detecting IgM and IgG against At a median of 11 months post- infection, only 4% 95% CI, 2–10% participants returned positive IgM results, which included both positive and weakly positive results, while 62% 95% CI, 54–71% were IgG positive Table 1, comparing to prevalence of IgM among pre-discharge samples from the same Severe group showed higher prevalence of IgG, while the prevalence of IgM was equally low in both groups Table 1.Next, the concentration of total antibodies against the receptor-binding domain of SARS-CoV-2 spike protein RBD was quantitatively measured by chemiluminescence microparticle immunoassays CMIA.24 Although signal/cutoff S/CO ratios were lower in non-severe group, all but 1 of the results were above the positive diagnostic threshold of S/CO = when all 100 samples of unexposed individuals, which were randomly chosen from sera of in-hospital patients who had negative results from multiple PCR and serological tests for SARS-CoV-2 before and after the date of serum collection, had S/CO values participants were exposed to SARS-CoV-2 and diagnosed with COVID-19 during January to March 2020. During their COVID-19 disease courses, they have received combinations of therapies including antivirals, immunomodulatory agents, antibiotics, supplemental oxygen, and ICU outcomes of this study were immunity against SARS-CoV-2 and functional recovery of the lung and other involved organs. Immunity against SARS-CoV-2 was assessed by multiple antibody assays. The colloidal gold-based test kit gave positive, weak positive, and negative readout of anti-SARS-CoV-2 IgM and IgG separately. The quantitative chemiluminescence microparticle immunoassay for antibodies against SARS-CoV-2 RBD was performed according to manufacturer’s protocol and previous publication,24 and the results were deemed positive if the signal/cutoff S/CO ratio ≥1. For ELISA tests, results were recorded and analyzed as continuous variables and the limit of sensitivity was calculated as mean + 2 × SD of 20 serum samples negative for SARS-CoV-2 antibodies in chemiluminescence assays. Functional recovery of the lung was assessed based on 1 current CT images comparing to images taken before discharge and during earlier follow-ups, 2 pulmonary function test results, and 3 six-minute walk test results. Recovery of the heart was assessed based on ECG, echocardiogram, and cardiac MRI scans. Recovery of other potentially involved organs were assessed by laboratory tests Roche Diagnostics.Sample sizeAn initial target sample size of 108 was determined based on the assumption of a 15 ratio of severe and non-severe COVID-19 patient enrollment and α = This sample size was calculated to have 90% power to detect a 10% difference of antibody concentrations. The final sample size exceeded the target in both analysisQuantitative data were presented in violin plots with all data points shown. Patient characteristics and clinical data were summarized as incidence with prevalence or median with IQR and were assessed with Fisher’s exact test dichotomous variables or χ2 test variables with more than two categories for categorical variables and Mann–Whitney U test for continuous variables. Antibody concentrations were log-transformed before being analyzed as continuous variables. The difference of antibody concentrations between groups were assessed by the Mann–Whitney U test two groups or Kruskal–Wallis test with post hoc comparisons more than two groups. Special tests were mentioned in figure legends. Correlation was assessed by Spearman’s ρ test. Linearity between two factors was assessed by simple linear regression. Generalized linear models were used to assess factors associated with antibody titers. Analyses were performed using SPSS 26 IBM or Prism 9 GraphPad. Missing data were excluded pairwise from analyses. 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Care Med. 200, e70–e88 2019.Article PubMed PubMed Central Google Scholar Milanese, M. et al. Suggestions for lung function testing in the context of COVID-19. Respir. Med. 177, 106292 2020.Article PubMed PubMed Central Google Scholar Download referencesAcknowledgementsWe thank Chun Mao Xiangyang Central Hospital and Juan Xiao Hubei University of Arts and Science for organization and administrative support of patient recruitments and clinical examinations. We also thank Rongjie Zhao, Zhangli Li Thermo Fisher Scientific China, Shanghai, China, and GenScript Nanjing, China for technical support and protocol optimization. This work was supported by Xiangyang Science and Technology Bureau 2020YL10, 2020YL14, 2020YL17, and 2020YL39, National Natural Science Foundation of China 31501116, Shenzhen Science and Technology Innovation Commission JCYJ20190809100005672, Shenzhen Sanming Project of Medicine SZSM201911013, and US Department of Veterans Affairs 5I01BX001353.Author informationAuthor notesThese authors contributed equally Yan Zhan, Yufang Zhu, Shanshan Wang, Shijun Jia, Yunling Gao, Yingying LuAuthors and AffiliationsDepartment of Rehabilitation Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, 441021, ChinaYan Zhan, Shanshan Wang, Peng Du, Hao Yu, Chang Liu & Peijun LiuDepartment of Laboratory Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, 441021, ChinaYufang Zhu, Caili Zhou & Ran LiangDepartment of Radiology and Medical Imaging, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, 441021, ChinaShijun Jia & Feng WuDepartment of Research Affairs, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, 441021, ChinaYunling Gao & Jin ChengDepartment of Nephrology, Center of Nephrology and Urology, Sun Yat-sen University Seventh Hospital, Shenzhen, Guangdong, 518107, ChinaYingying Lu, Zhihua Zheng & Peng HongDepartment of Biomedical Science, Shenzhen Research Institute, City University of Hong Kong, Kowloon Tong, Hong Kong, ChinaYingying LuDepartment of Rehabilitation Medicine, Xiangzhou District People’s Hospital, Xiangyang, Hubei, 441000, ChinaDingwen SunDepartment of Rehabilitation Medicine, Gucheng People’s Hospital, Affiliated Gucheng Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, 441700, ChinaXiaobo WangDivision of Quality Control, Xiangyang Central Blood Station, Xiangyang, Hubei, 441000, ChinaZhibing HouDepartment of Respiratory and Critical Care Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, 441021, ChinaQiaoqiao Hu & Yulan ZhengDepartment of Pathology, Mount Sinai St. Luke’s Roosevelt Hospital Center, New York, NY, 10025, USAMiao CuiDepartment of Oncology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, 518036, ChinaGangling TongDepartment of Dermatology, Sun Yat-sen University Seventh Hospital, Shenzhen, Guangdong, 518107, ChinaYunsheng Xu & Linyu ZhuDivision of Research and Development, US Department of Veterans Affairs New York Harbor Healthcare System, Brooklyn, NY, 11209, USAPeng HongDepartment of Cell Biology, State University of New York Downstate Health Sciences University, Brooklyn, NY, 11203, USAPeng HongAuthorsYan ZhanYou can also search for this author in PubMed Google ScholarYufang ZhuYou can also search for this author in PubMed Google ScholarShanshan WangYou can also search for this author in PubMed Google ScholarShijun JiaYou can also search for this author in PubMed Google ScholarYunling GaoYou can also search for this author in PubMed Google ScholarYingying LuYou can also search for this author in PubMed Google ScholarCaili ZhouYou can also search for this author in PubMed Google ScholarRan LiangYou can also search for this author in PubMed Google ScholarDingwen SunYou can also search for this author in PubMed Google ScholarXiaobo WangYou can also search for this author in PubMed Google ScholarZhibing HouYou can also search for this author in PubMed Google ScholarQiaoqiao HuYou can also search for this author in PubMed Google ScholarPeng DuYou can also search for this author in PubMed Google ScholarHao YuYou can also search for this author in PubMed Google ScholarChang LiuYou can also search for this author in PubMed Google ScholarMiao CuiYou can also search for this author in PubMed Google ScholarGangling TongYou can also search for this author in PubMed Google ScholarZhihua ZhengYou can also search for this author in PubMed Google ScholarYunsheng XuYou can also search for this author in PubMed Google ScholarLinyu ZhuYou can also search for this author in PubMed Google ScholarJin ChengYou can also search for this author in PubMed Google ScholarFeng WuYou can also search for this author in PubMed Google ScholarYulan ZhengYou can also search for this author in PubMed Google ScholarPeijun LiuYou can also search for this author in PubMed Google ScholarPeng HongYou can also search for this author in PubMed Google ScholarContributionsY. Zhan and conceptualized the study; Y. Zhan, and recruited patients, performed physical examinations, and abstracted historic data; Y. Zhu, and performed laboratory tests and interpreted results; and conducted sonographic and radiological examinations and interpreted results; and Y. Zheng conducted PFT and interpreted results; Y. Zhan, and conducted functional tests, assessed rehabilitation status and interpreted data; and interpreted metabolic and immunological findings; Y. Zhan, and conducted data quality checks and performed statistical analyses; Y. Zhan and wrote the manuscript. All authors read and approved the final authorsCorrespondence to Feng Wu, Yulan Zheng, Peijun Liu or Peng declarations Competing interests The authors declare no competing interests. Supplementary informationRights and permissions Open Access This article is licensed under a Creative Commons Attribution International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit Reprints and PermissionsAbout this articleCite this articleZhan, Y., Zhu, Y., Wang, S. et al. SARS-CoV-2 immunity and functional recovery of COVID-19 patients 1-year after infection. Sig Transduct Target Ther 6, 368 2021. citationReceived 06 March 2021Revised 16 September 2021Accepted 20 September 2021Published 13 October 2021DOI

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