PaketAntibodi Kuantitatif. 1 Pax. • Harga Rp 229.000 untuk pembelian langsung di seluruh unit Rumah Sakit Siloam Hospitals dan Linktree. • Tes Titer Anti SARS-CoV-2. • Transaksi melalui pembelian online tidak dapat dikembalikan. Kembali. Anda bisa memesan maksimal untuk 8 orang dalam 1 transaksi. HasilTes Antibodi Kuantitatif COVID-19. Tingkat akurasi suatu tes antibodi dipengaruhi oleh seberapa sensitif dan spesifik alat dan metode yang digunakan untuk mendeteksi virus SARS-CoV-2. Berdasarkan uji penelitian yang ada, tes antibodi kuantitatif COVID-19 memiliki tingkat akurasi 99% hingga 100%. Lihatprofil Emy Nurahmi di LinkedIn, komunitas profesional terbesar di dunia. Emy mencantumkan 1 pekerjaan di profilnya. Lihat profil lengkapnya di LinkedIn dan temukan koneksi dan pekerjaan Emy di perusahaan yang serupa. SARSCoV-2-infected individuals was skewed toward those with severe disease. Antibody Responses to SARS-CoV-2 . October 20, 2020 Edition 2020-10-20 Page 2 of 14 Figure: Note: Adapted from Iyer et al. Correlation of SARS-CoV-2 neutralizing antibody titers in symptomatic RT-PCR positive persons with anti-RBD IgG responses at 0 coronavirus2 (SARS-CoV-2) atau lebih umum dikenal dengan corona virus.Virus corona bisa menyebabkan gangguan ringan pada sistem pernapasan, infeksi paru-paru yang berat, hingga kematian (Fadli, 2020). Pada manusia SARS-CoV-2 terutama menginfeksi sel-sel pada saluran napas yang melapisi alveoli (Susilo et al, 2020). Efek Metodeyang digunakan dalam pemeriksaan anti SARS-CoV-2 kuantitatif adalah Electro Chemiluminescence Immunoassay (ECLIA) yang menggunakan protein rekombinan mewakili RBD antigen S, mengukur antibodi spesifik dengan afinitas tinggi terhadap SARS-CoV-2 secara kuantitatif dalam serum pasien dengan satuan U/ml (1 U/ml setara dengan 0.972 . . 2021 Oct;2710 doi Epub 2021 Jun 7. Sheila F Lumley 2 , Jia Wei 3 , Stuart Cox 4 , Tim James 4 , Anita Justice 4 , Gerald Jesuthasan 4 , Denise O'Donnell 3 , Alison Howarth 3 , Stephanie B Hatch 3 , Brian D Marsden 5 , E Yvonne Jones 3 , David I Stuart 3 , Daniel Ebner 6 , Sarah Hoosdally 7 , Derrick W Crook 2 , Tim E A Peto 2 , Timothy M Walker 8 , Nicole E Stoesser 2 , Philippa C Matthews 2 , Koen B Pouwels 9 , A Sarah Walker 7 , Katie Jeffery 4 Affiliations PMID 34111577 PMCID PMC8180449 DOI Free PMC article Quantitative SARS-CoV-2 anti-spike responses to Pfizer-BioNTech and Oxford-AstraZeneca vaccines by previous infection status David W Eyre et al. Clin Microbiol Infect. 2021 Oct. Free PMC article Abstract Objectives We investigated determinants of severe acute respiratory syndrome coronavirus 2 SARS-CoV-2 anti-spike IgG responses in healthcare workers HCWs following one or two doses of Pfizer-BioNTech or Oxford-AstraZeneca vaccines. Methods HCWs participating in regular SARS-CoV-2 PCR and antibody testing were invited for serological testing prior to first and second vaccination, and 4 weeks post-vaccination if receiving a 12-week dosing interval. Quantitative post-vaccination anti-spike antibody responses were measured using the Abbott SARS-CoV-2 IgG II Quant assay detection threshold ≥50 AU/mL. We used multivariable logistic regression to identify predictors of seropositivity and generalized additive models to track antibody responses over time. Results 3570/3610 HCWs were seropositive >14 days post first vaccination and prior to second vaccination 2706/2720 were seropositive after the Pfizer-BioNTech and 864/890 following the Oxford-AstraZeneca vaccines. Previously infected and younger HCWs were more likely to test seropositive post first vaccination, with no evidence of differences by sex or ethnicity. All 470 HCWs tested >14 days after the second vaccination were seropositive. Quantitative antibody responses were higher after previous infection median IQR >21 days post first Pfizer-BioNTech 14 604 7644-22 291 AU/mL versus 1028 564-1985 AU/mL without prior infection p 21 days post second Pfizer vaccination in those not previously infected, 10 058 6408-15 582 AU/mL, were similar to those after prior infection followed by one vaccine dose. Conclusions SARS-CoV-2 vaccination leads to detectable anti-spike antibodies in nearly all adult HCWs. Whether differences in response impact vaccine efficacy needs further study. Keywords Antibody; Quantitative anti-spike antibody; SARS-CoV-2; Serology; Vaccine. Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved. Figures Fig. 1 Anti-spike IgG-positive results by days since first vaccination, by prior infection status and vaccine received. Tests performed after a second dose of vaccine are not included. The number of tests performed and positive and the resulting percentage is shown under each bar. Fig. 2 The relationship between vaccine, age and probability of testing anti-spike IgG seropositive >14 days post first vaccination. Model predictions are shown using reference categories for sex and ethnicity white, female, respectively and in those without prior evidence of infection. Fig. 3 Modelled quantitative anti-spike IgG responses following first vaccination by vaccine and previous infection status. Panels A and B show responses in previously infected healthcare workers HCWs and panels C and D HCWs without evidence of previous infection. Panels A and C show data for those receiving Pfizer–BioNTech vaccine and panels B and D Oxford–AstraZeneca vaccine. Model predictions are shown at three example ages 30, 45, and 60 years. The shaded ribbon shows the 95% confidence interval. Values are plotted from 7 days prior to vaccination to illustrate baseline values models are fitted using data from 28 days prior to vaccination onwards. Fig. 4 Modelled quantitative anti-spike IgG titres following second Pfizer–BioNTech vaccination by previous infection status. Panel A shows those who were previous infected including those previously infected at baseline or testing PCR-positive between vaccines and panel B those who had no evidence of previous infection. Model predictions are shown at three example ages 30, 45, and 60 years. The shaded ribbon shows the 95% confidence interval. Data were included in each model from 7 days before the second vaccination to allow pre-vaccination levels to be fitted correctly. Similar articles Low immunogenicity to SARS-CoV-2 vaccination among liver transplant recipients. Rabinowich L, Grupper A, Baruch R, Ben-Yehoyada M, Halperin T, Turner D, Katchman E, Levi S, Houri I, Lubezky N, Shibolet O, Katchman H. Rabinowich L, et al. J Hepatol. 2021 Aug;752435-438. doi Epub 2021 Apr 21. J Hepatol. 2021. PMID 33892006 Free PMC article. Immunogenicity of COVID-19 Tozinameran Vaccination in Patients on Chronic Dialysis. Schrezenmeier E, Bergfeld L, Hillus D, Lippert JD, Weber U, Tober-Lau P, Landgraf I, Schwarz T, Kappert K, Stefanski AL, Sattler A, Kotsch K, Dörner T, Sander LE, Budde K, Halleck F, Kurth F, Corman VM, Choi M. Schrezenmeier E, et al. Front Immunol. 2021 Jun 30;12690698. doi eCollection 2021. Front Immunol. 2021. PMID 34276681 Free PMC article. Immunogenicity of the BNT162b2 COVID-19 mRNA vaccine and early clinical outcomes in patients with haematological malignancies in Lithuania a national prospective cohort study. Maneikis K, Šablauskas K, Ringelevičiūtė U, Vaitekėnaitė V, Čekauskienė R, Kryžauskaitė L, Naumovas D, Banys V, Pečeliūnas V, Beinortas T, Griškevičius L. Maneikis K, et al. Lancet Haematol. 2021 Aug;88e583-e592. doi Epub 2021 Jul 2. Lancet Haematol. 2021. PMID 34224668 Free PMC article. COVID-19 vaccines comparison of biological, pharmacological characteristics and adverse effects of Pfizer/BioNTech and Moderna Vaccines. Meo SA, Bukhari IA, Akram J, Meo AS, Klonoff DC. Meo SA, et al. Eur Rev Med Pharmacol Sci. 2021 Feb;2531663-1669. doi Eur Rev Med Pharmacol Sci. 2021. PMID 33629336 Review. SARS-CoV-2 Proteins Are They Useful as Targets for COVID-19 Drugs and Vaccines? Mohammed MEA. Mohammed MEA. Curr Mol Med. 2022;22150-66. doi Curr Mol Med. 2022. PMID 33622224 Review. Cited by Tracking Changes in Mobility Before and After the First SARS-CoV-2 Vaccination Using Global Positioning System Data in England and Wales Virus Watch Prospective Observational Community Cohort Study. Nguyen V, Liu Y, Mumford R, Flanagan B, Patel P, Braithwaite I, Shrotri M, Byrne T, Beale S, Aryee A, Fong WLE, Fragaszy E, Geismar C, Navaratnam AMD, Hardelid P, Kovar J, Pope A, Cheng T, Hayward A, Aldridge R; Virus Watch Collaborative. Nguyen V, et al. JMIR Public Health Surveill. 2023 Mar 8;9e38072. doi JMIR Public Health Surveill. 2023. PMID 36884272 Free PMC article. Impact of BNT162b2 Booster Dose on SARS-CoV-2 Anti-Trimeric Spike Antibody Dynamics in a Large Cohort of Italian Health Care Workers. Renna LV, Bertani F, Podio A, Boveri S, Carrara M, Pinton A, Milani V, Spuria G, Nizza AF, Basilico S, Dubini C, Cerri A, Menicanti L, Corsi-Romanelli MM, Malavazos AE, Cardani R. Renna LV, et al. Vaccines Basel. 2023 Feb 17;112463. doi Vaccines Basel. 2023. PMID 36851340 Free PMC article. Robust specific RBD responses and neutralizing antibodies after ChAdOx1 nCoV-19 and CoronaVac vaccination in SARS-CoV-2- seropositive individuals. Fernandes ER, Taminato M, de Souza Apostolico J, Gabrielonni MC, Lunardelli VAS, Maricato JT, Andersen ML, Tufik S, Rosa DS. Fernandes ER, et al. J Allergy Clin Immunol Glob. 2023 May;22100083. doi Epub 2023 Feb 21. J Allergy Clin Immunol Glob. 2023. PMID 36845213 Free PMC article. Durability of ChAdOx1 nCoV-19 Covishield Vaccine Induced Antibody Response in Health Care Workers. Verma A, Goel A, Katiyar H, Tiwari P, Mayank, Sana A, Khetan D, Bhadauria DS, Raja A, Khokher N, Shalimar, Singh RK, Aggarwal A. Verma A, et al. Vaccines Basel. 2022 Dec 30;11184. doi Vaccines Basel. 2022. PMID 36679930 Free PMC article. The Influence of Two Priming Doses of Different Anti-COVID-19 Vaccines on the Production of Anti-SARS-CoV-2 Antibodies After the Administration of the Pfizer/BioNTech Booster. Wolszczak Biedrzycka B, Bieńkowska A, Smolińska-Fijołek E, Biedrzycki G, Dorf J. Wolszczak Biedrzycka B, et al. Infect Drug Resist. 2022 Dec 29;157811-7821. doi eCollection 2022. Infect Drug Resist. 2022. PMID 36600955 Free PMC article. References Folegatti Ewer Aley Angus B., Becker S., Belij-Rammerstorfer S. Safety and immunogenicity of the ChAdOx1 nCoV-19 vaccine against SARS-CoV-2 a preliminary report of a phase 1/2, single-blind, randomised controlled trial. Lancet. 2020;396467–478. - PMC - PubMed Wajnberg A., Amanat F., Firpo A., Altman Bailey Mansour M. Robust neutralizing antibodies to SARS-CoV-2 infection persist for months. Science. 2020;3701227–1230. - PMC - PubMed GeurtsvanKessel Okba Igloi Z., Bogers S., Embregts Laksono An evaluation of COVID-19 serological assays informs future diagnostics and exposure assessment. Nat Commun. 2020;113436. - PMC - PubMed Medicines and Healthcare products Regulatory Agency . 2020. MHRA guidance on coronavirus COVID-19 Walsh Frenck Falsey Kitchin N., Absalon J., Gurtman A. Safety and immunogenicity of two RNA-based Covid-19 vaccine candidates. N Engl J Med. 2020;3832439–2450. - PMC - PubMed MeSH terms Substances LinkOut - more resources Full Text Sources Elsevier Science Europe PubMed Central PubMed Central Medical Genetic Alliance MedlinePlus Health Information Miscellaneous NCI CPTAC Assay Portal Loading metrics Open Access Peer-reviewed Research Article Michael Tu, Jordan Cheng, Fang Wei, Feng Li, David Chia, Omai Garner, Sukantha Chandrasekaran, Richard Bender, Charles M. Strom , David T. W. Wong Development and validation of a quantitative, non-invasive, highly sensitive and specific, electrochemical assay for anti-SARS-CoV-2 IgG antibodies in saliva Samantha H. Chiang, Michael Tu, Jordan Cheng, Fang Wei, Feng Li, David Chia, Omai Garner, Sukantha Chandrasekaran, Richard Bender, Charles M. Strom x Published July 1, 2021 Figures AbstractAmperial™ is a novel assay platform that uses immobilized antigen in a conducting polymer gel followed by detection via electrochemical measurement of oxidation-reduction reaction between H2O2/Tetrametylbenzidine and peroxidase enzyme in a completed assay complex. A highly specific and sensitive assay was developed to quantify levels of IgG antibodies to SARS-CoV-2 in saliva. After establishing linearity and limit of detection we established a reference range of 5 standard deviations above the mean. There were no false positives in 667 consecutive saliva samples obtained prior to 2019. Saliva was obtained from 34 patients who had recovered from documented COVID-19 or had documented positive serologies. All of the patients with symptoms severe enough to seek medical attention had positive antibody tests and 88% overall had positive results. We obtained blinded paired saliva and plasma samples from 14 individuals. The plasma was analyzed using an EUA-FDA cleared ELISA kit and the saliva was analyzed by our Amperial™ assay. All 5 samples with negative plasma titers were negative in saliva testing. Eight of the 9 positive plasma samples were positive in saliva and 1 had borderline results. A CLIA validation was performed as a laboratory developed test in a high complexity laboratory. A quantitative non-invasive saliva based SARS-CoV-2 antibody test was developed and validated with sufficient specificity to be useful for population-based monitoring and monitoring of individuals following vaccination. Citation Chiang SH, Tu M, Cheng J, Wei F, Li F, Chia D, et al. 2021 Development and validation of a quantitative, non-invasive, highly sensitive and specific, electrochemical assay for anti-SARS-CoV-2 IgG antibodies in saliva. PLoS ONE 167 e0251342. Chandrabose Selvaraj, Alagappa University, INDIAReceived January 14, 2021; Accepted April 25, 2021; Published July 1, 2021Copyright © 2021 Chiang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are Availability Data is available on figshare DW is supported by U54HL119893, UCLA Keck Foundation Research Award Program. SC is supported by F30DE027615. This study was partially funded by Liquid Diagnostics, LLC LD. The funder provided reimbursement to MT as a paid consultant. This author contributed to this study by performing some experiments and in manuscript preparation. He did not contribute to the decision to publish, data collection or interests CS in an unpaid CEO of LD. CS, MT, RB, and DW are equity holders in LD. LD is the exclusive license holder for the Amperial™ technology from the University of California and hopes to commercialize products based on this technology. This does not alter our adherence to PLOS ONE policies on sharing data an materials. IntroductionA novel corona virus, severe acute respiratory syndrome coronavirus 2 SARS-CoV-2, has caused a global pandemic causing major disruptions world-wide [1]. Multiple high-throughput PCR based tests have been developed that are reasonably sensitive and specific, however the same cannot be said for antibody testing, prompting The Center for Disease Control CDC to issue guidelines entitled “Interim Guidelines for COVID-19 Antibody Testing” [2]. This publication describes the variability of in-home antibody tests and the lack of specificity required to make home-based antibody testing a valuable tool for epidemiologic surveillance. Having a reliable self-collection antibody test may be of enormous help in epidemiologic studies of background immunity, testing symptomatic individuals without RNA based testing during their acute illness, and screening health care providers and first responders to establish prior COVID-19 infection. Such a test may also be valuable in following vaccinated patients to assess the kinetics of anti-SARS-CoV-2 antibody production following inoculation. Multiple serological tests based on serum or plasma have been developed and marketed, with ELISA and lateral flow methods predominating. However, many methods suffer from low sensitivities and specificities [2–6]. Antibodies begin appearing in the first week following the development of symptoms. IgG, IgM, and IgA are detectable with IgA appearing somewhat earlier than IgG and IgM. Most patients seroconvert by 2 weeks following symptoms. Unlike IgA and IgM, IgG persists for several months following infection [7–9]. In a published study of 1,797 Icelandic individuals recovered from qPCR documented COVID-19 disease, 91% were IgG seropositive and antibody levels remained stable for 4 months after initial symptoms [10]. Notably of individuals quarantined due to exposure but untested for virus, with negative qPCR results, tested positive for IgG antibodies. Of 18,609 patients who were both unexposed and asymptomatic, the seropositivity rate was [11]. Since health care systems are burdened with care for COVID-19 patients, having a test that does not require phlebotomy would be extremely beneficial. To that end, investigations have been carried out using home finger prick blood sampling and even some home blood spot testing lateral flow strips [5–7]. However, home finger stick is invasive and not acceptable to some individuals, and requires a health care professional to administer the test to vulnerable individuals such as the elderly and children. In addition, home blood collection tests are less accurate than phlebotomy, with specificities less than 98%. In a low prevalence disease, the positive predictive value for a test with 98% specificity is less than 50% [7, 11]. Saliva is an oral fluid that is obtained easily and non-invasively. Proteomic studies show that the immunoglobulin profile in saliva is nearly identical to that of plasma [12]. Therefore, saliva is an excellent medium for COVID-19 antibody measurement. There are several commercially available collection devices to facilitate saliva collection, stabilization of IgG, and transport. A recently published study demonstrated excellent correlation between levels of COVID-19 antibodies in serum and saliva [13]. In order to be useful in population-based screening and to determine individual immunity in exposed populations, a SARS-CoV-2 antibody test must be highly specific because of the low seroprevalence rate in the population [2, 14]. In addition, the ability to quantify antibody levels is important for vaccine development and in monitoring for waning immunity [2, 14]. The only published saliva based assay for SARS-CoV-2 antibodies had only 89% sensitivity with 98% specificity [13], leading to a positive predictive value of only 49% in a population with a 2% prevalence of COVID-19 exposure. Our goal was to develop a non-invasive saliva based quantitative test for COVID-19 antibodies with exquisite sensitivity. We reviewed existing literature to find the SARS-CoV-2 antigen domain with the highest specificity and the ability to distinguish between the COVID-19 virus and other related Coronaviruses. The S1 domain is the most specific in terms of cross reactivity with other Corona and other respiratory viruses. As recombinant S1 antigen is readily available from at least 2 vendors, we chose the S1 antigen for our assay development. Levels of IgM and IgA deteriorate rapidly following recovery from COVID-19 infection; IgG levels remain detectable for several weeks to months [10]. Since the intended use of our assay is for population-based screening and vaccine efficacy monitoring, we chose to assay IgG only. The Amperial™ technology, formerly known as Electric Field Induced Release and Measurement EFIRM™, is a novel platform capable of performing quantitation of target molecules in both blood and saliva [15]. The device works by immobilizing capture moieties on the surface of an electrode structure for capturing target analytes and then quantifying the target analyte through electrochemically measuring oxidation-reduction between a hydrogen peroxide and tetramethylbenzidine substrate and peroxidase enzyme in a completed assay sandwich. The assay takes place on electrodes packaged in the format of a traditional 96-well microtiter plate, making the assay technique highly compatible and scalable with existing lab liquid handling instruments. We developed quantitative Amperial™ assays for IgG, IgM, and IgA antibodies to the S1 spike protein antigen of SARS-CoV-2. This test is highly sensitive >88% and specific > for patients with COVID-19 infections and correlates well with plasma ELISA analysis. The unique assay described in this article is completely non-invasive, allows home-collection, is quantitative, and has shown no false positives in 667 unexposed individuals, leading to a specificity of at least The assay has strong utility for clinical laboratories as it does not require purification/extraction of the saliva specimen, but the sample can simply be pipetted out of the collection device, diluted, and pipetted to the assay plate. The turnaround time of the assay is also fast, requiring less than 1 hour for a complete assay to be run. The widespread use of this test may be of great value in identifying individuals with prior exposure to SARS-CoV-2, to follow patients longitudinally to determine the kinetics of diminishing antibody concentration, and may be of special value in the longitudinal monitoring of vaccinated individuals to assess continued serologic immunity. Materials and methodsThe schematic of the Amperial™ SARS-CoV-2 IgG antibody is shown in Fig 1. The principle of the Amperial™ platform is that a biomolecule in this case SARS-CoV-2 Spike protein S1 antigen is added to a liquid pyrrole solution that is then pipetted into the bottom of microtiter wells containing a gold electrode at the bottom of each well. After the solution is added to each well, the plate is placed into the Amperial™ Reader and subjected to an electric current leading to polymerization. This procedure results in each well becoming coated with a conducting polymer gel containing the S1 antigen. Following the polymerization, diluted saliva, plasma, or serum is added to the well. Specific anti-S1 antibodies bind to the S1 antigen in the polymer. After rigorous washing procedures, the bound antibody is detected by using biotinylated anti-human IgG and then the signal is amplified by a standard streptavidin / horseradish peroxidase reaction that produces an electric current measured by the Amperial™ Reader in the nanoampere nA scale. The instrument is capable of accurately measuring current in the picoampere pA range, so the measurement is well within the ability of the instrument [13, 14, 16, 17]. The measurement of current rather than optical absorbance, as is done in the typical ELISA, has two important advantages over standard ELISA. Firstly, it allows precise quantitation of the amount of bound antibody and secondly, the measurement of current rather than optical absorbance allows increased sensitivity. Since antibody levels in saliva are lower than in plasma [13, 16], this increased sensitivity is crucial. The precise details of the assay are described in the next paragraph. COVID-19 Spike-1 Antigen Sanyou-Bio, Shanghai, China was diluted to a concentration of μg / mL, added to each well of the microtiter plate, and co-polymerized with pyrrole Sigma-Aldrich, St. Louis, MO onto the bare gold electrodes by applying a cyclic square wave electric field at 350 mV for 1 second and 1100 mV for 1 second. In total, polymerization proceeded for 4 cycles of 2 seconds each. Following this electro-polymerization procedure, 6 wash cycles were performed using 1x PBS with Tween-20 PBS-T using a 96-channel Biotek 405LS plate washer programmed to aspirate and dispense 400 μL of solution per cycle. Following the application of the polymer layer, 30 μL of saliva diluted at a 110 ratio in Casein/PBS Thermo-Fisher, Waltham, MA was pipetted into each well and incubated for 10 minutes at room temperature. Unbound components were removed by performing 6 wash cycles of PBS-T using the plate washer. Biotinylated anti-human IgG secondary antibody Thermofisher, Waltham, MA at a stock concentration of mg / mL was diluted 1500 in Casein/PBS and 30 μL pipetted to the surface of each well and incubated for 10 minutes at room temperature followed by 6 wash cycles using PBS-T. Subsequently, 30 μL of Poly-HRP80 Fitzgerald Industries, Acton, MA at a stock concentration of 2 μg / mL was diluted 125 in Casein/PBS, added to the wells, and incubated at 10 minutes at room temperature. Following a final wash using 6 cycles of PBS-T, current generation is accomplished by pipetting 60 μL of 1-Step Ultra TMB Thermofisher, Waltham, MA to the surface of the electrode and placing the plate into the Amperial™ reader where current is measured at -200 mV for 60 seconds. The current in nA is measured 3 times for each well. The process for reading the entire 96 well plate requires approximately 3 minutes. Plasma quantitative Amperial™ assay for SARS-CoV-2 IgG The protocol is similar to the Amperial™ SARS-CoV-2 IgG antibody for saliva samples. Following the application of the polymer layer, 30 μL of plasma diluted at a 1100 ratio in Casein/PBS Thermo-Fisher, Waltham, MA was pipetted into each well and incubated for 10 minutes at room temperature. The standard curve for plasma contains the following points 300 ng / ml, 150 ng / ml, 75 ng / ml, ng / ml, ng / ml, and 0 ng / ml. Plasma SARS-CoV-2 ELISA assay We purchased FDA EUA ELISA kits EUROIMMUN Anti-SARS-CoV-2 ELISA Assay for detection of IgG antibodies EUROIMMUN US, Mountain Lakes, NJ, Product ID EI 2606–9601 G, Lot E2001513BK. We processed samples exactly as described in the package insert. Human subjects Volunteers, with prior positive qPCR tests for COVID-19 infection or positive antibody tests using currently available FDA EUA-cleared antibody tests were consented via a written consent. Subjects enrolled were all over the age of 18. Subject participants responded to a questionnaire regarding severity of symptoms, onset of symptoms, and method of diagnosis UCLA IRB 06-05-042. Severity of symptoms were self-graded on the following 7-point scale 0 Asymptomatic 1 Mild Barely noticed, perhaps slight fever and cough 2 Moderate felt moderately ill but did not need to seek medical care 3 Sought medical Care but was not admitted to hospital 4 Hospitalized 5 Admitted to ICU 6 Placed on Ventilator A set of 13 paired saliva and plasma samples were provided by the Orasure™ Company. Saliva collection All COVID-19 samples were obtained using the Orasure™ FDA-cleared saliva collection device and used according to manufacturer instructions. The Orasure™ collection device consists of an absorbent pad on the end of a scored plastic wand. The individual places the pad between cheek and gum for a period of 2–5 minutes. Subsequently the wand and pad are placed into a tube containing transport medium, the top of the stick is broken off, and the tube is sealed for transport. The sealed tube is placed into a zip-lock bag and shipped by any standard method. According to the package insert, samples are stable at ambient temperature for 21 days see results below and Orasure™ website. An alternate sample collection method involves the individual swabbing the pad 4 times in the gingival tooth junction prior to placing the pad between the cheek and gum. This method has been shown to improve IgG yield in some patients with low antibody levels personal communication with Orasure Technologies, Inc.. Participant recruitment method Positive samples determined either through a positive SARS-CoV-2 viral test or antibody test were acquired beginning May 2020 to July 2020 via the described Orasure™ Oral Fluid Collection Device Kit previous described. Subjects were recruited into the study via electronic correspondence during the early stages of the COVID-19 pandemic in regions affected by COVID-19 California, Illinois, New York, New Jersey. Subjects are all over the age of 18. Subjects are not representative of the general population. Samples collected pre-2012 were used as controls. Saliva was collected from healthy individual volunteers at meetings of the American Dental Association between 2006 and 2011. Consent was obtained under IRB approval UCLA IRB 06-05-042. Both male and females, mostly non-smokers, 18–80 years of age, and differing ethnicities were included. All subjects were consented prior to collection. Each subject expectorated ~ 5 mL of whole saliva in a 50cc conical tube set on ice. The saliva was processed within 1/2 hour of collection. Samples were spun in a refrigerated centrifuge at 2600 X g for 15 minutes at 4°C. The supernatant cell-free saliva was then pipetted into two-2 mL cryotubes and μL Superase-In Ambion, Austin, TX was added as a preservative. Each tube was inverted to mix. The samples were frozen in dry ice and later stored in -80°C. Sample size and statistical methods Due to the nature of the pandemic and the evolving nature of EUA diagnostics during the early phases of the pandemic, no power calculations were performed for study size but instead the FDA/EUA recommendation of 30 subjects was followed. For components of work that required comparisons between groups, student’s T-test was conducted. p value, corresponds to a 95% confidence or p value, corresponds to 99% confidence. Data analysis performed was using GraphPad Prism Results Linearity Fig 2 demonstrates the dynamic range and linearity of the assay. In these experiments varying amounts of monoclonal human anti-S1 IgG was added to a saliva sample from a healthy volunteer and subjected to the assay. Fig 2 shows a range of to 6 ng/ml. The Y-axis shows nano-amperage measured nA. The X-axis represents spike-in concentrations of IgG. The assay begins to become saturated at about 3 ng / ml. Fig 3 shows dilutions down to ng / ml to ng / ml and shows linearity in that range. This allows us to create a standard curve containing the following points 3 ng / ml, ng / ml, ng / ml, ng / ml, ng / ml, and 0 ng / ml. Fig 2. Dynamic range and linear range of Amperial™ anti-Spike S1 IgG Amount of spike in anti-SARS-CoV-2 IgG in ng / ml. Y-axis Normalized current in nA. Panel A 0–5 ng / ml Panel B ng / ml. Inhibition assay In order to demonstrate the specificity for the assay on actual clinical samples, we used the saliva from 3 recovered patients who had high levels of SARS-CoV-2 antibodies and added exogenous S1 antigen in varying amounts prior to analysis on the Amperial™ assay. The exogenous S1 antigen should compete for binding sites and therefore extinguish the nA signal. Fig 3 shows the results of this experiment. The red, purple, and green represent 3 different patients. The X-axis demonstrates increasing concentration of exogenous S1 added to the saliva before subjecting it to the assay. As shown, saliva pre-incubated with S1 antigen extinguishes the detectable IgG signal proportionately, therefore demonstrating the specificity of the assay to S1 antigen in clinical samples. Matrix effects Since we are be comparing samples collected by various methods, it is vital to determine if any significant matrix effects could interfere with data interpretation. We examined the 3 different collection methods used in this study Expectoration/centrifugation, Orasure™ without swabbing and Orasure™ with swabbing. Two methods of collection using the Orasure™ Oral Fluid Collection Device were tested. The first method non-swabbing collects saliva by placing an absorbent pad into the lower gum area for 2–5 minutes and then placing the saturated collection pad into a preservative collection tube. The second method swabbing adds the step of first gently rubbing the collection pad along gum line, between the gum and cheek, 5 times, before placing the device in the lower gum area for 2–5 minutes, and then immersing the saturated collection pad into the collection tube. Healthy donors n = 5 collected their saliva using these two different methods. The control pre-2012 samples were collected with an expectoration protocol for whole saliva collection falcon tubes, processing centrifuge, stabilization, and storage. Five samples collected by each of the 3 methods and were analyzed in duplicate. The results are shown in Fig 4 under the heading “No spike in.” There are no differences among 3 sample types. We then added monoclonal human anti-S1 IgG to each sample and again ran them in duplicate Fig 4 above caption Spike-in ng / ml IgG. A non-parametric Student t-test was performed with no significant differences between any of the collection methods. Stability The Orasure™ collector is an FDA-cleared device for the analysis of anti-HIV IgG. The package insert describes a 21-day stability at ambient temperature. We wished to establish the stability of anti-COVID-19 IgG using this collector. Passive whole saliva was collected from four healthy individuals using 50 mL falcon tubes and spiked with anti-Spike S1 IgG to reach a final concentration of 300 ng / ml. Aliquots of mL of saliva were placed into 50 mL tubes and then the sponge of the Orasure™ collector was submerged into the saliva for five minutes and processed as described in Methods. The collected saliva was then aliquoted into PCR tubes and left at ambient temperature 21°C for 0, 1, 3, 7, and 14 days before storage at -80°C. After 14 days, samples were thawed and assayed using the anti-Spike S1 IgG Amperial™ assay to assess stability. At 14 days, 95% of the original signal remained, demonstrating the 14-day stability of anti-SARS-CoV-2 antibodies collected in Orasure™ containers see Fig 5. Fig 5. Stability study performed on spike-in of SARS-CoV-2 IgG into healthy saliva specimen using two different methods a research SOP which involves expectoration into a falcon tube and the Orasure™ Oral Fluid collection device.The collect saliva was aliquoted and left at ambient temp for 0, 1, 3, 7, 14 days. Results were normalized relative to the measured assay signal of a sample at day 0. Results show that the sample is stable with no significant degradation for up to 14 days. Specificity and reference range Once we established no significant differences between the tube collection method and the Orasure™ collector method, we analyzed a series of 667 samples collected between 2006 and 2009 at the annual meeting of the American Dental Association. Scatter plots of these data for both nA and ng / ml are shown in Fig 6A and 6B. We established the mean and standard deviation for both raw nA values and concentration in ng / ml. In order to maximize specificity, we selected a reference range > 5 SD above the mean. A 5 sigma level would lead to a specificity of In fact, we have never seen a healthy sample above the 5 sigma level. As will be seen, the sensitivity of the assay remains greater than 88% even with this rigorous specificity. Fig 6. Healthy reference range of Amperial™ saliva anti-SARS-CoV-2 IgG assay of 667 unexposed subjects in A normalized current ΔnA with mean = and cutoff = and B concentration ng / ml with mean = and cutoff = Recovered COVID-19 patients Fig 7 displays the scatter plot for 667 healthy controls and 34 volunteer patients who recovered from COVID-19 infection. All patients were a minimum of 14 days post onset of symptoms and some patients were as many as 15 weeks post symptoms. The 5 sigma cutoff is shown by the green dotted line. A more detailed discussion of the recovered patients appears in the following section. The data show that all healthy patients are negative and 30 of the 34 recovered patients are positive. These data demonstrate a sensitivity of 88% and a specificity of > It is important to note that not all recovered patients have detectable antibody [10] so the 4 patients with undetectable antibody may be biologically negative and not the result of lack of sensitivity of the assay. Fig 8 demonstrates the relationship of anti-S1 IgG levels to severity of symptoms. Table 1 is a tabular summary of these data. All patients who had severity indexes ≥3 sought medical attention, admitted to hospital, admitted to ICU, on ventilator had positive antibody levels. Although 4 patients with mild symptoms had antibody levels in the normal range, both asymptomatic patients had appreciable antibody levels. These patients were close contacts of more severely affected patients. The highest antibody level recorded is severity index level 2 patient moderate symptoms, did not seek medical care. It is important to note that both asymptomatic patients had easily detectable antibody levels in saliva, suggesting this test may be useful in general population screening. Paired saliva and plasma samples We obtained 14 paired, blinded plasma and saliva samples. The plasma was analyzed by an FDA EUA-cleared ELISA test purchased from EUROIMMUN see Methods. The saliva samples, collected in Orasure™ buffer, were analyzed by the Amperial™ assay described in Methods. After unblinding, we discovered 8 recovered COVID patients and 5 healthy patients in this series. All 5 healthy patients were negative in both the saliva and plasma assays. In 7 of the 8 recovered patients, both plasma and saliva tests were positive. There was one sample with a discrepancy between saliva and plasma, with the plasma positive and the saliva in the indeterminate range. The EUROIMMUNE ELISA assay is a semi-quantitative assay and yields an absorbance ratio rather than a quantity. Fig 9 demonstrates the relationship between the saliva quantitative results and plasma absorbance ratio for the paired plasma and saliva samples. There is a clear relationship between the 2 levels, with the higher plasma absorbance ratios associated with higher saliva quantitation. Fig 9. COVID-19 antibody level in paired saliva and plasma of COVID-19 n = 8 subjects in a blinded randomized antibodies level are measured by EUROIMMUN ELISA reported in ratio proportion of OD of calibrator to OD of sample and saliva antibodies are measured by Amperial™ in pg / ml. Green dashed line indicates 5 SD reference range cutoff of Amperial™ test and red dashed line is reference range for EUROIMMUN ELISA. developed a research quality assay to quantify anti-SARS-CoV-2 IgG levels in plasma see Methods. We analyzed the 13 plasma samples using this assay. The results of this experiment are shown in Fig 10. Panel A shows a log / log plot of plasma versus saliva levels showing a clustering with high plasma levels associated with high saliva levels. Panel B shows the box plot of these values, demonstrating that plasma levels are approximately 50X those of saliva. This observation explains the necessity for an extremely sensitive assay such as the Amperial™ assay in order to detect antibodies in saliva. Of note, the publication regarding saliva SARS-CoV-2 IgG detection reports levels of 25–60 mcg / ml, 1000 times less sensitive than our assay. Fig 10. Relationship of plasma anti-SARS-CoV-2 IgG levels to saliva levels measured by Amperial™ assays.A Panel A shows a log / log plot of plasma versus saliva levels showing a clustering of the positive values with high plasma levels associated with high saliva levels on the Amperial™ platform. B Box plot of COVID-19 n = 8 and healthy n = 5 subjects demonstrating that the normalized plasma levels are approximately 50X those of saliva. Longitudinal tracking of antibody levels Three of our volunteers supplied samples at weekly intervals so we could determine the stability of their antibody levels. Results appear in Fig 11. The 5 standard deviation cutoff is again shown with the dashed green line. All 3 patients continued to have detectable levels for more than 12 weeks, with the longest interval of 15 weeks. All tests were positive in all patients and antibody levels in all 3 patients remained clearly positive during the time interval studied. Patients C1 and C3 seem to have a rise in antibody level between 11 and 12 weeks post initial symptoms followed by a return to baseline level. Patient C2 might also have had a spike in antibody levels at 10 weeks. This may be result of the amnestic B-cell population becoming established. There is insufficient data at this time to determine if this is a generalized pattern. CLIA evaluation We performed a full CLIA laboratory developed test evaluation for the Amperial™ COVID-19 IgG Antibody test. The validation assayed 72 unaffected patients and 30 recovered patients and demonstrated 100% sensitivity and specificity. The intra-assay and inter-assay variability were and respectively. DiscussionWe have developed an exquisitely specific, sensitive, non-invasive saliva based quantitative assay for anti-SARS-CoV-2 IgG antibodies. Our goal was to create a quantitative assay with sufficient positive predictive value to be useful to inform individuals regarding previous infection with COVID-19. By establishing a reference range of 5 sigma above than the mean we have a theoretical analytical specificity of We plan to repeat the analysis of all positive samples to further increase analytical specificity. Since our test is non-invasive with home-collection we can also offer repeat testing on a second sample to further increase specificity. These procedures will minimize the false positives due to purely technical issues. There is still the possibility of biological false positives, however, due to cross reactivity with other infectious or environmental agents. The S1 antigen appears to be specific for SARS-CoV-2 [2, 3, 10] and in our series of 667 samples collected prior to 2019 we observed no false positive results. We cannot predict the eventual clinical specificity of this assay. At a minimum, the specificity is 667 / 668 or assuming the next control sample tested would be a false positive, but the specificity is likely to be higher. Our current sensitivity is 100% for patients with symptoms severe enough to seek medical care. For all patients, including mildly asymptomatic patients, our clinical sensitivity is 88%. Since the Amperial™ assay only requires 6 μL of collection fluid, several assays can be performed from the same sample. This allows all positives to be repeated to confirm the positive results and further increase the specificity of the assay. We will offer testing of a second, independent sample for all patients testing positive. Since saliva collection is easily be performed at home, obtaining a second sample is not difficult. For any laboratory test, the PPV is proportional to the prevalence of positivity in the population. A recent study demonstrated a prevalence of between to 6% in Britain [17]. Using the minimum specificity of and a prevalence of 6% the Amperial™ saliva assay would have a minimum PPV of 96%. In contrast, a published saliva antibody detection assay reported a specificity of 98% with a similar sensitivity 89%. This specificity leads to PPV of only 69% making it an ineffective tool for population screening. Our data demonstrate that the Imperial™ assay is appropriate for longitudinal screening of antibody levels, a particular utility in vaccine trials and in population monitoring following mass immunization. Since this assay is quantitative and levels appear to be stable with time, patients may be monitored from home at frequent intervals. If antibodies raised in response to vaccination do not include IgG antibodies to S1 antigen, it is easy to rapidly develop Amperial™ antibody tests to any antigen. This requires adding the new antigen to the pyrrole solution and does not require significant alteration of assay conditions. A particular advantage of this assay is convenience. The Orasure™ collector is simple and easy to use and does not require professional monitoring for adequate collection. Home collection relieves the burden to an already stressed health care system. Vulnerable populations such as children and the elderly can be guided through the collection process by parents or other adults. It is possible to obtain repeat samples to confirm positives and to perform longitudinal testing since the only requirement for testing is shipping the collecting kit. The Amperial™ IgG test is plate-based and high-throughput. An entire plate is easily processed in 2 hours, leading to rapid turnaround time once the sample enters the laboratory. There is no pre-processing of the sample required; samples are taken directly from the collection vial and placed into the assay. With standard liquid handlers, the assay may be easily automated allowing for extremely high-throughput since the Amperial™ reader is only required for the polymerization step of less than a minute at the beginning of the assay and 3 minutes for the measurement phase at the end of the assay. Published data [13] and our own demonstrate a correlation between blood results and saliva results indicating that the IgG present in saliva is most likely derived from the plasma through filtration. Our data shows that saliva IgG levels are approximately 50-fold less than those in plasma necessitating a highly sensitive assay in order to detect the IgG levels in saliva. There is some discussion in the literature of the role antibody testing may have in managing the COVID-19 epidemic. Alter and Seder published an editorial in the New England Journal of Medicine arguing, “Contrary to recent reports suggesting that SARS-CoV-2 RNA testing alone, in the absence of antibodies, will be sufficient to track and contain the pandemic, the cost, complexity, and transient nature of RNA testing for pathogen detection render it an incomplete metric of viral spread at the population level. Instead, the accurate assessment of antibodies during a pandemic can provide important population-based data on pathogen exposure, facilitate an understanding of the role of antibodies in protective immunity, and guide vaccine development [14]”. ConclusionIn this article, we describe the development of a non-invasive, home collection based, exquisitely specific, and acceptably sensitive test for the presence of anti-SARS-CoV-2 antibodies in saliva. This may be an important tool in controlling the pandemic and facilitating and understanding of the role of antibody production in COVID-19 immunity. Longitudinal monitoring of anti-SARS-CoV-2 IgG levels could also play a valuable role in vaccine development and deployment by allowing longitudinal quantitative assessment of antibody levels. If the presence of detectable anti-COVID-19 IgG is shown to be an indicator of immunity to reinfection, measurement of these antibodies could allow individuals to safely return to work, school and community. The Amperial™ SARS-CoV-2 assay fulfills the requirements for all of these applications. References1. Guan W, Ni Z, Hu Y, Liang W, Ou C, He J, et al. Clinical Characteristics of Coronavirus Disease 2019 in China. New Eng J Med. 2020 Apr;382181708–20. pmid32109013 View Article PubMed/NCBI Google Scholar 2. Interim Guidelines for COVID-19 Antibody Testing. Center for Disease Control and Prevention. 2020 Aug 1. [Cited 2020 Nov 5] 3. 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Free PMC article Abstract In the current COVID-19 pandemic, a better understanding of the relationship between merely binding and functionally neutralizing antibodies is necessary to characterize protective antiviral immunity following infection or vaccination. This study analyzes the level of correlation between the novel quantitative EUROIMMUN Anti-SARS-CoV-2 QuantiVac ELISA IgG and a microneutralization assay. A panel of 123 plasma samples from a COVID-19 outbreak study population, preselected by semiquantitative anti-SARS-CoV-2 IgG testing, was used to assess the relationship between the novel quantitative ELISA IgG and a microneutralization assay. Binding IgG targeting the S1 antigen was detected in 106 samples using the QuantiVac ELISA, while 89 samples showed neutralizing antibody activity. Spearman's correlation analysis demonstrated a strong positive relationship between anti-S1 IgG levels and neutralizing antibody titers rs = p < High and low anti-S1 IgG levels were associated with a positive predictive value of for high-titer neutralizing antibodies and a negative predictive value of for low-titer neutralizing antibodies, respectively. These results substantiate the implementation of the QuantiVac ELISA to assess protective immunity following infection or vaccination. Keywords COVID-19; ELISA; SARS-CoV-2; microneutralization. © 2021 The Authors. Journal of Medical Virology Published by Wiley Periodicals LLC. Conflict of interest statement Sandra Saschenbrecker and Katja Steinhagen are employed by EUROIMMUN Medizinische Labordiagnostika AG, a manufacturer of diagnostic reagents and co‐owner of a patent application pertaining to the detection of antibodies to the SARS‐CoV‐2 S1 antigen. Katja Steinhagen is designated as an inventor. The other authors declare that there are no conflict of interests. Figures Figure 1 Correlation between quantitative ELISA and microneutralization assay. Binding anti‐SARS‐CoV‐2 S1 IgG was determined quantitatively using the QuantiVac ELISA and titers of neutralizing antibodies were determined using the CPE reduction NT assay n = 123. Neutralization titers correspond to reciprocal plasma dilutions protecting 50% of the wells at incubation with 100 TCID50 of SARS‐CoV‐2. Samples with a cytopathic effect CPE equal or similar to the negative control are depicted on the y‐axis. Dotted and dashed lines indicate borderline and positivity cut‐offs, respectively. r s, Spearman rank‐order correlation coefficient Similar articles Inference of SARS-CoV-2 spike-binding neutralizing antibody titers in sera from hospitalized COVID-19 patients by using commercial enzyme and chemiluminescent immunoassays. Valdivia A, Torres I, Latorre V, Francés-Gómez C, Albert E, Gozalbo-Rovira R, Alcaraz MJ, Buesa J, Rodríguez-Díaz J, Geller R, Navarro D. Valdivia A, et al. Eur J Clin Microbiol Infect Dis. 2021 Mar;403485-494. doi Epub 2021 Jan 6. Eur J Clin Microbiol Infect Dis. 2021. PMID 33404891 Free PMC article. SARS-CoV-2 Serologic Assays in Control and Unknown Populations Demonstrate the Necessity of Virus Neutralization Testing. Rathe JA, Hemann EA, Eggenberger J, Li Z, Knoll ML, Stokes C, Hsiang TY, Netland J, Takehara KK, Pepper M, Gale M Jr. Rathe JA, et al. J Infect Dis. 2021 Apr 8;22371120-1131. doi J Infect Dis. 2021. PMID 33367830 Free PMC article. A highly specific and sensitive serological assay detects SARS-CoV-2 antibody levels in COVID-19 patients that correlate with neutralization. Peterhoff D, Glück V, Vogel M, Schuster P, Schütz A, Neubert P, Albert V, Frisch S, Kiessling M, Pervan P, Werner M, Ritter N, Babl L, Deichner M, Hanses F, Lubnow M, Müller T, Lunz D, Hitzenbichler F, Audebert F, Hähnel V, Offner R, Müller M, Schmid S, Burkhardt R, Glück T, Koller M, Niller HH, Graf B, Salzberger B, Wenzel JJ, Jantsch J, Gessner A, Schmidt B, Wagner R. Peterhoff D, et al. Infection. 2021 Feb;49175-82. doi Epub 2020 Aug 21. Infection. 2021. PMID 32827125 Free PMC article. Quantitative SARS-CoV-2 Serology in Children With Multisystem Inflammatory Syndrome MIS-C. Rostad CA, Chahroudi A, Mantus G, Lapp SA, Teherani M, Macoy L, Tarquinio KM, Basu RK, Kao C, Linam WM, Zimmerman MG, Shi PY, Menachery VD, Oster ME, Edupuganti S, Anderson EJ, Suthar MS, Wrammert J, Jaggi P. Rostad CA, et al. Pediatrics. 2020 Dec;1466e2020018242. doi Epub 2020 Sep 2. Pediatrics. 2020. PMID 32879033 Recent Developments in SARS-CoV-2 Neutralizing Antibody Detection Methods. Banga Ndzouboukou JL, Zhang YD, Fan XL. Banga Ndzouboukou JL, et al. Curr Med Sci. 2021 Dec;4161052-1064. doi Epub 2021 Dec 21. Curr Med Sci. 2021. PMID 34935114 Free PMC article. Review. Cited by Impact of Health Workers' Choice of COVID-19 Vaccine Booster on Immunization Levels in Istanbul, Turkey. Ören MM, Canbaz S, Meşe S, Ağaçfidan A, Demir ÖS, Karaca E, Doğruyol AR, Otçu GH, Tükek T, Özgülnar N. Ören MM, et al. Vaccines Basel. 2023 May 3;115935. doi Vaccines Basel. 2023. PMID 37243039 Free PMC article. Development and validity assessment of ELISA test with recombinant chimeric protein of SARS-CoV-2. Fernandez Z, de Arruda Rodrigues R, Torres JM, Marcon GEB, de Castro Ferreira E, de Souza VF, Sarti EFB, Bertolli GF, Araujo D, Demarchi LHF, Lichs G, Zardin MU, Gonçalves CCM, Cuenca V, Favacho A, Guilhermino J, Dos Santos LR, de Araujo FR, Silva MR. Fernandez Z, et al. J Immunol Methods. 2023 May 11;519113489. doi Online ahead of print. J Immunol Methods. 2023. PMID 37179011 Free PMC article. Dynamics of Antibody Responses after Asymptomatic and Mild to Moderate SARS-CoV-2 Infections Real-World Data in a Resource-Limited Country. Sayabovorn N, Phisalprapa P, Srivanichakorn W, Chaisathaphol T, Washirasaksiri C, Sitasuwan T, Tinmanee R, Kositamongkol C, Nimitpunya P, Mepramoon E, Ariyakunaphan P, Woradetsittichai D, Chayakulkeeree M, Phoompoung P, Mayurasakorn K, Sookrung N, Tungtrongchitr A, Wanitphakdeedecha R, Muangman S, Senawong S, Tangjittipokin W, Sanpawitayakul G, Nopmaneejumruslers C, Vamvanij V, Auesomwang C. Sayabovorn N, et al. Trop Med Infect Dis. 2023 Mar 23;84185. doi Trop Med Infect Dis. 2023. PMID 37104311 Free PMC article. Convalescent Plasma Treatment of Patients Previously Treated with B-Cell-Depleting Monoclonal Antibodies Suffering COVID-19 Is Associated with Reduced Re-Admission Rates. Ioannou P, Katsigiannis A, Papakitsou I, Kopidakis I, Makraki E, Milonas D, Filippatos TD, Sourvinos G, Papadogiannaki M, Lydaki E, Chamilos G, Kofteridis DP. Ioannou P, et al. Viruses. 2023 Mar 15;153756. doi Viruses. 2023. PMID 36992465 Free PMC article. Characterisation of the Antibody Response in Sinopharm BBIBP-CorV Recipients and COVID-19 Convalescent Sera from the Republic of Moldova. Ulinici M, Suljič A, Poggianella M, Milan Bonotto R, Resman Rus K, Paraschiv A, Bonetti AM, Todiras M, Corlateanu A, Groppa S, Ceban E, Petrovec M, Marcello A. Ulinici M, et al. Vaccines Basel. 2023 Mar 13;113637. doi Vaccines Basel. 2023. PMID 36992221 Free PMC article. References Krammer F, Simon F. Serology assays to manage COVID‐19. Science. 2020;3681060‐1061. - PubMed Lee CY, Lin RTP, Renia L, Ng LFP. Serological approaches for COVID‐19 Epidemiologic perspective on surveillance and control. 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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. 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Affiliations PMID 33483360 PMCID PMC8092751 DOI Free PMC article Quantitative Measurement of Anti-SARS-CoV-2 Antibodies Analytical and Clinical Evaluation Victoria Higgins et al. J Clin Microbiol. 2021. Free PMC article Abstract The severe acute respiratory syndrome coronavirus 2 SARS-CoV-2 is the causative agent of coronavirus disease 2019 COVID-19. Molecular-based testing is used to diagnose COVID-19, and serologic testing of antibodies specific to SARS-CoV-2 is used to detect past infection. While most serologic assays are qualitative, a quantitative serologic assay was recently developed that measures antibodies against the S protein, the target of vaccines. Quantitative antibody determination may help determine antibody titer and facilitate longitudinal monitoring of the antibody response, including antibody response to vaccines. We evaluated the quantitative Roche Elecsys anti-SARS-CoV-2 S assay. Specimens from 167 PCR-positive patients and 103 control specimens were analyzed using the Elecsys anti-SARS-CoV-2 S assay on the cobas e411 Roche Diagnostics. Analytical evaluation included assessing linearity, imprecision, and analytical sensitivity. Clinical evaluation included assessing clinical sensitivity, specificity, cross-reactivity, positive predictive value PPV, negative predictive value NPV, and serial sampling from the same patient. The Elecsys anti-SARS-CoV-2 S assay exhibited its highest sensitivity at 15 to 30 days post-PCR positivity and exhibited no cross-reactivity, a specificity and PPV of 100%, and an NPV between and at ≥14 days post-PCR positivity, depending on the seroprevalence estimate. Imprecision was 30, 0 to 14, and ≥14 days post-PCR positivity for the quantitative Roche Elecsys anti-SARS-CoV-2 S assay using serum or plasma samples collected from 167 patients confirmed SARS-CoV-2 positive within the previous 0 to 73 days. FIG 2 Anti-SARS-CoV-2 antibody response by days post-PCR positivity in five patients as measured by the quantitative Roche Elecsys anti-SARS-CoV-2 S assay. Similar articles Anti-SARS-CoV-2 IgM improves clinical sensitivity early in disease course. Higgins V, Fabros A, Wang XY, Bhandari M, Daghfal DJ, Kulasingam V. Higgins V, et al. Clin Biochem. 2021 Apr;901-7. doi Epub 2021 Jan 19. Clin Biochem. 2021. PMID 33476578 Free PMC article. Analytical and Clinical Evaluation of the Automated Elecsys Anti-SARS-CoV-2 Antibody Assay on the Roche cobas e602 Analyzer. Chan CW, Parker K, Tesic V, Baldwin A, Tang NY, van Wijk XMR, Yeo KJ. Chan CW, et al. Am J Clin Pathol. 2020 Oct 13;1545620-626. doi Am J Clin Pathol. 2020. PMID 32814955 Free PMC article. Head-to-Head Comparison of Two SARS-CoV-2 Serology Assays. Merrill AE, Jackson JB, Ehlers A, Voss D, Krasowski MD. Merrill AE, et al. J Appl Lab Med. 2020 Nov 1;561351-1357. doi J Appl Lab Med. 2020. PMID 32717056 Free PMC article. 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PMID 37244466 Free PMC article. Variation in antibody titers determined by Abbott and Roche Elecsys SARS-CoV-2 assays in vaccinated healthcare workers. Nakai M, Yokoyama D, Sato T, Sato R, Kojima C, Shimosawa T. Nakai M, et al. Heliyon. 2023 Jun;96e16547. doi Epub 2023 May 22. Heliyon. 2023. PMID 37235203 Free PMC article. Anti-N SARS-CoV-2 assays for evaluation of natural viral infection. Gaeta A, Angeloni A, Napoli A, Pucci B, Cinti L, Roberto P, Colaiacovo F, Berardelli E, Farina A, Antonelli G, Anastasi E. Gaeta A, et al. J Immunol Methods. 2023 Jul;518113486. doi Epub 2023 May 6. J Immunol Methods. 2023. PMID 37156408 Free PMC article. Humoral Immune Response Following SARS-CoV-2 mRNA Vaccination and Infection in Pediatric-Onset Multiple Sclerosis. Breu M, Lechner C, Schneider L, Tobudic S, Winkler S, Siegert S, Baumann M, Seidl R, Berger T, Kornek B. Breu M, et al. Pediatr Neurol. 2023 Jun;14319-25. doi Epub 2023 Mar 2. Pediatr Neurol. 2023. PMID 36966598 Free PMC article. SARS-CoV-2-reactive antibody waning, booster effect and breakthrough SARS-CoV-2 infection in hematopoietic stem cell transplant and cell therapy recipients at one year after vaccination. Piñana JL, Martino R, Vazquez L, López-Corral L, Pérez A, Chorão P, Avendaño-Pita A, Pascual MJ, Sánchez-Salinas A, Sanz-Linares G, Olave MT, Arroyo I, Tormo M, Villalon L, Conesa-Garcia V, Gago B, Terol MJ, Villalba M, Garcia-Gutierrez V, Cabero A, Hernández-Rivas JÁ, Ferrer E, García-Cadenas I, Teruel A, Navarro D, Cedillo Á, Sureda A, Solano C; Spanish Hematopoietic Stem Cell Transplantation and Cell Therapy Group GETH-TC. Piñana JL, et al. Bone Marrow Transplant. 2023 May;585567-580. doi Epub 2023 Feb 28. Bone Marrow Transplant. 2023. PMID 36854892 Free PMC article. References Carter LJ, Garner LV, Smoot JW, Li Y, Zhou Q, Saveson CJ, Sasso JM, Gregg AC, Soares DJ, Beskid TR, Jervey SR, Liu C. 2020. Assay techniques and test development for COVID-19 diagnosis. 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Nature 581379–381. doi - DOI - PubMed MeSH terms Substances LinkOut - more resources Full Text Sources Atypon Europe PubMed Central PubMed Central Other Literature Sources scite Smart Citations Medical Genetic Alliance MedlinePlus Health Information Miscellaneous NCI CPTAC Assay Portal 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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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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