Tesini dikeluarkan oleh beberapa perusahaan kesehatan, termasuk Roche dari Swiss. Pemeriksaan yang juga dikenal dengan nama Roche Elecsys Anti-SARS-CoV-2 serology test ini dapat mendeteksi antibodi pada pasien yang telah terpapar virus Corona, dan memiliki tingkat akurasi yang tinggi.. Karena tes ini tidak bisa dijadikan sebagai patokan diagnosis, - Seperti diketahui, orang yang sudah pernah terinfeksi Covid-19 akan memiliki kekebalan tubuh atau antibodi terhadap serangan virus SARS-CoV-2 penyebab Covid-19 di masa depan. Namun, seberapa besar kekebalan tubuh orang yang pernah terpapar Covid-19?Mengenai persoalan ini, Dokter Spesialis Patologi Klinik Primaya Hospital Bekasi Barat dan Bekasi Timur, dr Muhammad Irhamsyah SpPK MKes angkat bicara. Irhamsyah menjelaskan bahwa terdapat metode pemeriksaan kekebalan tubuh manusia terhadap Covid-19 melalui pemeriksaan Antibodi SARS-CoV-2 kuantitatif. Baca juga Daftar 5 Kelompok Prioritas Vaksinasi Covid-19 Tahap Kedua, dari Guru hingga Pedagang Pemeriksaan Antibodi SARS-CoV-2 suatu pemeriksaan untuk mendeteksi suatu protein yang disebut antibodi, khususnya antibodi spesifik terhadap SARS-CoV-2 ini."Pemeriksaan ini dapat dilakukan pada orang-orang yang sudah pernah terinfeksi Covid-19, orang yang sudah mendapatkan vaksinasi, serta dapat digunakan untuk mengukur antibodi pada donor plasma konvalesen yang akan ditransfusikan,” kata Irhamsyah. Cara kerja pemeriksaan kuantitatif antibodi ECLIA Dijelaskan dr Irhamsyah, prinsip pemeriksaan kuantitatif antibodi spesifik SARS-CoV-2 ini menggunakan pemeriksaan laboratorium imunoserologi pada sebuah alat automatik autoanalyzer. Alat automatik ini dipergunakan untuk mendeteksi antibodi terhadap SAR-CoV-2. Pemeriksaan ini biasa disebut dengan Electro Chemiluminescence Immunoasssay ECLIA. ECLIA akan mendeteksi, mengikat, serta mengukur antibodi netralisasi. Sebagai informasi, antibodi netralisasi adalah antibodi yang dapat berikatan spesifik pada bagian struktur protein spike SARS-CoV-2. Protein spike adalah protein berbentuk paku yang tersebar di permukaan virus Covid-19, sebelum virus Covid-19 memasuki sel-sel pada tubuh kita dengan menggunakan label-label yang berikatan spesifik dengan antibodi netralisasi tersebut. Adapun, jenis sampel yang dapat digunakan dalam pemeriksaan ini yaitu sampel serum dan plasma dengan cara diambil darah vena. NovelCoronavirus (SARS-Cov-2) Netralisasi Alat Uji Rapid Antibodi Alat Uji Rapid IgG/IgM 2019-nCOV (Getih lengkep/Serum/Plasma) Novel Coronavirus （SARS-Cov Brief Communication Published 29 April 2020 Bai-Zhong Liu2 na1, Hai-Jun Deng ORCID na1, Gui-Cheng Wu3,4 na1, Kun Deng5 na1, Yao-Kai Chen6 na1, Pu Liao7, Jing-Fu Qiu8, Yong Lin ORCID Xue-Fei Cai1, De-Qiang Wang1, Yuan Hu1, Ji-Hua Ren1, Ni Tang1, Yin-Yin Xu2, Li-Hua Yu2, Zhan Mo2, Fang Gong2, Xiao-Li Zhang2, Wen-Guang Tian2, Li Hu2, Xian-Xiang Zhang3,4, Jiang-Lin Xiang3,4, Hong-Xin Du3,4, Hua-Wen Liu3,4, Chun-Hui Lang3,4, Xiao-He Luo3,4, Shao-Bo Wu3,4, Xiao-Ping Cui3,4, Zheng Zhou3,4, Man-Man Zhu5, Jing Wang6, Cheng-Jun Xue6, Xiao-Feng Li6, Li Wang6, Zhi-Jie Li7, Kun Wang7, Chang-Chun Niu7, Qing-Jun Yang7, Xiao-Jun Tang8, Yong Zhang ORCID Xia-Mao Liu9, Jin-Jing Li9, De-Chun Zhang10, Fan Zhang10, Ping Liu11, Jun Yuan1, Qin Li12, Jie-Li Hu ORCID Juan Chen ORCID & …Ai-Long Huang ORCID Nature Medicine volume 26, pages 845–848 2020Cite this article 824k Accesses 5536 Citations 4038 Altmetric Metrics details Subjects AbstractWe report acute antibody responses to SARS-CoV-2 in 285 patients with COVID-19. Within 19 days after symptom onset, 100% of patients tested positive for antiviral immunoglobulin-G IgG. Seroconversion for IgG and IgM occurred simultaneously or sequentially. Both IgG and IgM titers plateaued within 6 days after seroconversion. Serological testing may be helpful for the diagnosis of suspected patients with negative RT–PCR results and for the identification of asymptomatic infections. MainThe continued spread of coronavirus disease 2019 COVID-19 has prompted widespread concern around the world, and the World Health Organization WHO, on 11 March 2020, declared COVID-19 a pandemic. Studies on severe acute respiratory syndrome SARS and Middle East respiratory syndrome MERS showed that virus-specific antibodies were detectable in 80–100% of patients at 2 weeks after symptom onset1,2,3,4,5,6. Currently, the antibody responses against SARS-CoV-2 remain poorly understood and the clinical utility of serological testing is total of 285 patients with COVID-19 were enrolled in this study from three designated hospitals; of these patients, 70 had sequential samples available. The characteristics of these patients are summarized in Supplementary Tables 1 and 2. We validated and used a magnetic chemiluminescence enzyme immunoassay MCLIA for virus-specific antibody detection Extended Data Fig. 1a–d and Supplementary Table 3. Serum samples from patients with COVID-19 showed no cross-binding to the S1 subunit of the SARS-CoV spike antigen. However, we did observe some cross-reactivity of serum samples from patients with COVID-19 to nucleocapsid antigens of SARS-CoV Extended Data Fig. 1e. The proportion of patients with positive virus-specific IgG reached 100% approximately 17–19 days after symptom onset, while the proportion of patients with positive virus-specific IgM reached a peak of approximately 20–22 days after symptom onset Fig. 1a and Methods. During the first 3 weeks after symptom onset, there were increases in virus-specific IgG and IgM antibody titers Fig. 1b. However, IgM showed a slight decrease in the >3-week group compared to the ≤3-week group Fig. 1b. IgG and IgM titers in the severe group were higher than those in the non-severe group, although a significant difference was only observed in IgG titer in the 2-week post-symptom onset group Fig. 1c, P = 1 Antibody responses against Graph of positive rates of virus-specific IgG and IgM versus days after symptom onset in 363 serum samples from 262 patients. b, Levels of antibodies against SARS-CoV-2 in patients at different times after symptom onset. c, Comparison of the level of antibodies against SARS-CoV-2 between severe and non-severe patients. The boxplots in b and c show medians middle line and third and first quartiles boxes, while the whiskers show the interquartile range IQR above and below the box. Numbers of patients N are shown underneath. P values were determined with unpaired, two-sided Mann–Whitney DataFull size imageSixty-three patients with confirmed COVID-19 were followed up until discharge. Serum samples were collected at 3-day intervals. Among these, the overall seroconversion rate was 61/63 over the follow-up period. Two patients, a mother and daughter, maintained IgG- and IgM-negative status during hospitalization. Serological courses could be followed for 26 patients who were initially seronegative and then underwent seroconversion during the observation period. All these patients achieved seroconversion of IgG or IgM within 20 days after symptom onset. The median day of seroconversion for both IgG and IgM was 13 days post symptom onset. Three types of seroconversion were observed synchronous seroconversion of IgG and IgM nine patients, IgM seroconversion earlier than that of IgG seven patients and IgM seroconversion later than that of IgG ten patients Fig. 2a. Longitudinal antibody changes in six representative patients of the three types of seroconversion are shown in Fig. 2b–d and Extended Data Fig. 2a– 2 Seroconversion time of the antibodies against Seroconversion type of 26 patients who were initially seronegative during the observation period. The days of seroconversion for each patient are plotted. b–d, Six representative examples of the three seroconversion type synchronous seroconversion of IgG and IgM b, IgM seroconversion earlier than that of IgG c and IgM seroconversion later than that of IgG c.Full size imageIgG levels in the 19 patients who underwent IgG seroconversion during hospitalization plateaued 6 days after the first positive IgG measurement Extended Data Fig. 3. Plateau IgG levels varied widely more than 20-fold across patients. IgM also showed a similar profile of dynamic changes Extended Data Fig. 4. We found no association between plateau IgG levels and the clinical characteristics of the patients Extended Data Fig. 5a–d. We next analyzed whether the criteria for confirmation of MERS-CoV infection recommended by WHO, including 1 seroconversion or 2 a fourfold increase in IgG-specific antibody titers, are suitable for the diagnosis of COVID-19 using paired samples from 41 patients. The initial sample was collected in the first week of illness and the second was collected 2–3 weeks later. Of the patients whose IgG was initially seronegative in the first week of illness, 21/41 underwent seroconversion. A total of 18 patients were initially seropositive in the first week of illness; of these, eight patients had a fourfold increase in virus-specific IgG titers Extended Data Fig. 6. Overall, 29/41 of the patients with COVID-19 met the criteria of IgG seroconversion and/or fourfold increase or greater in the IgG investigate whether serology testing could help identify patients with COVID-19, we screened 52 suspected cases in patients who displayed symptoms of COVID-19 or abnormal radiological findings and for whom testing for viral RNA was negative in at least two sequential samples. Of the 52 suspected cases, four had virus-specific IgG or IgM in the initial samples Extended Data Fig. 7. Patient 3 had a greater than fourfold increase in IgG titer 3 days after the initial serology testing. Interestingly, patient 3 also tested positive for viral infection by polymerase chain reaction with reverse transcription RT–PCR between the two antibody measurements. IgM titer increased over three sequential samples from patient 1 1 was defined as positive and S/CO ≤ 1 as of IgG and IgM against SARS-CoV-2To measure the level of IgG and IgM against SARS-CoV-2, serum samples were collected from the patients. All serum samples were inactivated at 56 °C for 30 min and stored at −20 °C before testing. IgG and IgM against SARS-CoV-2 in plasma samples were tested using MCLIA kits supplied by Bioscience Co. approved by the China National Medical Products Administration; approval numbers 20203400183IgG and 20203400182IgM, according to the manufacturer’s instructions. MCLIA for IgG or IgM detection was developed based on a double-antibody sandwich immunoassay. The recombinant antigens containing the nucleoprotein and a peptide from the spike protein of SARS-CoV-2 were conjugated with FITC and immobilized on anti-FITC antibody-conjugated magnetic particles. Alkaline phosphatase conjugated anti-human IgG/IgM antibody was used as the detection antibody. The tests were conducted on an automated magnetic chemiluminescence analyzer Axceed 260, Bioscience according to the manufacturer’s instructions. All tests were performed under strict biosafety conditions. The antibody titer was tested once per serum sample. Antibody levels are presented as the measured chemiluminescence values divided by the cutoff S/CO. The cutoff value of this test was defined by receiver operating characteristic curves. Antibody levels in the figures were calculated as log2S/CO + 1.Performance evaluation of the SARS-CoV-2-specific IgG/IgM detection assayThe precision and reproducibility of the MCLIA kits were first evaluated by the National Institutes for Food and Drug Control. Moreover, 30 serum samples from patients with COVID-19 showing different titers of IgG range and IgM range were tested. Each individual sample was tested in three independent experiments, and the coefficient of variation CV was used to evaluate the precision of the assay. Finally, 46 serum samples from patients with COVID-19 were assessed using different batches of the diagnostic kit for SARS-CoV-2-specific IgG or IgM antibody; reproducibility was calculated based on the results from two batch of antigens from SARS-CoV and SARS-CoV-2Two recombinant SARS-CoV nucleocapsid N proteins from two different sources Sino Biological, cat. no. 40143-V08B; Biorbyt, cat. no. orb82478, the recombinant S1 subunit of the SARS-CoV spike Sino Biological, cat. no. 40150-V08B1 and the homemade recombinant N protein of SARS-CoV-2 were used in a chemiluminescence enzyme immunoassay CLEIA, respectively. The concentration of antigens used for plate coating was μg ml−1. The dilution of alkaline phosphatase conjugated goat anti-human IgG antibody was 12,500. Five serum samples from patients with COVID-19 and five serum samples from healthy controls were diluted 150 and tested using CLEIA assays. The binding ability of antibody to antigen in a sample was measured in relative luminescence analysesContinuous variables are expressed as the median IQR and were compared with the Mann–Whitney U-test. Categorical variables are expressed as numbers % and were compared by Fisher’s exact test. A P value of < was considered statistically significant. Statistical analyses were performed using R software, version approvalThe study was approved by the Ethics Commission of Chongqing Medical University ref. no. 2020003. Written informed consent was waived by the Ethics Commission of the designated hospital for emerging infectious SummaryFurther information on research design is available in the Nature Research Reporting Summary linked to this article. Data availabilityRaw data in this study are provided in the Supplementary Dataset. Additional supporting data are available from the corresponding authors on request. All requests for raw and analyzed data and materials will be reviewed by the corresponding authors to verify whether the request is subject to any intellectual property or confidentiality obligations. Source data for Fig. 1 and Extended Data Figs. 1 and 5 are available V. M. et al. Viral shedding and antibody response in 37 patients with Middle East respiratory syndrome coronavirus infection. Clin. Infect. Dis. 62, 477–483 2016.CAS PubMed Google Scholar Li, G., Chen, X. & Xu, A. Profile of specific antibodies to the SARS-associated coronavirus. N. Engl. J. Med. 349, 508–509 2003.Article Google Scholar Hsueh, P. R., Huang, L. M., Chen, P. J., Kao, C. L. & Yang, P. C. Chronological evolution of IgM, IgA, IgG and neutralisation antibodies after infection with SARS-associated coronavirus. Clin. Microbiol. Infect. 10, 1062–1066 2004.Article Google Scholar Park, W. B. et al. Kinetics of serologic responses to MERS coronavirus infection in humans, South Korea. Emerg. Infect. Dis. 21, 2186–2189 2015.Article CAS Google Scholar Drosten, C. et al. Transmission of MERS-coronavirus in household contacts. N. Engl. J. Med. 371, 828–835 2014.Article Google Scholar Meyer, B., Drosten, C. & Muller, M. A. Serological assays for emerging coronaviruses challenges and pitfalls. Virus Res. 194, 175–183 2014.Article CAS Google Scholar Tang, Y. W., Schmitz, J. E., Persing, D. H. & Stratton, C. W. The laboratory diagnosis of COVID-19 infection current issues and challenges. J. Clin. Microbiol. 2020.Zou, L. et al. SARS-CoV-2 viral load in upper respiratory specimens of infected patients. N. Engl. J. Med. 382, 1177–1179 2020.Article Google Scholar Download referencesAcknowledgementsWe thank Yang and Kwan for critical reviewing of the manuscript. This work was supported by the Emergency Project from the Science & Technology Commission of Chongqing and a Major National S&T Program grant 2017ZX10202203 and 2017ZX10302201 from the Science & Technology Commission of informationAuthor notesThese authors contributed equally Quan-Xin Long, Bai-Zhong Liu, Hai-Jun Deng, Gui-Cheng Wu, Kun Deng, Yao-Kai and AffiliationsKey Laboratory of Molecular Biology on Infectious Diseases, Ministry of Education, Chongqing Medical University, Chongqing, ChinaQuan-Xin Long, Hai-Jun Deng, Yong Lin, Xue-Fei Cai, De-Qiang Wang, Yuan Hu, Ji-Hua Ren, Ni Tang, Jun Yuan, Jie-Li Hu, Juan Chen & Ai-Long HuangYongchuan Hospital Affiliated to Chongqing Medical University, Chongqing, ChinaBai-Zhong Liu, Yin-Yin Xu, Li-Hua Yu, Zhan Mo, Fang Gong, Xiao-Li Zhang, Wen-Guang Tian & Li HuChongqing University Three Gorges Hospital, Chongqing, ChinaGui-Cheng Wu, Xian-Xiang Zhang, Jiang-Lin Xiang, Hong-Xin Du, Hua-Wen Liu, Chun-Hui Lang, Xiao-He Luo, Shao-Bo Wu, Xiao-Ping Cui & Zheng ZhouChongqing Three Gorges Central Hospital, Chongqing, ChinaGui-Cheng Wu, Xian-Xiang Zhang, Jiang-Lin Xiang, Hong-Xin Du, Hua-Wen Liu, Chun-Hui Lang, Xiao-He Luo, Shao-Bo Wu, Xiao-Ping Cui & Zheng ZhouThe Third Hospital Affiliated to Chongqing Medical University, Chongqing, ChinaKun Deng & Man-Man ZhuDivision of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, ChinaYao-Kai Chen, Jing Wang, Cheng-Jun Xue, Xiao-Feng Li & Li WangLaboratory Department, Chongqing People’s Hospital, Chongqing, ChinaPu Liao, Zhi-Jie Li, Kun Wang, Chang-Chun Niu & Qing-Jun YangSchool of Public Health and Management, Chongqing Medical University, Chongqing, ChinaJing-Fu Qiu, Xiao-Jun Tang & Yong ZhangThe Second Affiliated Hospital of Chongqing Medical University, Chongqing, ChinaXia-Mao Liu & Jin-Jing LiWanzhou People’s Hospital, Chongqing, ChinaDe-Chun Zhang & Fan ZhangBioScience Co. Ltd, Chongqing, ChinaPing LiuChongqing Center for Disease Control and Prevention, Chongqing, ChinaQin LiAuthorsQuan-Xin LongYou can also search for this author in PubMed Google ScholarBai-Zhong LiuYou can also search for this author in PubMed Google ScholarHai-Jun DengYou can also search for this author in PubMed Google ScholarGui-Cheng WuYou can also search for this author in PubMed Google ScholarKun DengYou can also search for this author in PubMed Google ScholarYao-Kai ChenYou can also search for this author in PubMed Google ScholarPu LiaoYou can also search for this author in PubMed Google ScholarJing-Fu QiuYou can also search for this author in PubMed Google ScholarYong LinYou can also search for this author in PubMed Google ScholarXue-Fei CaiYou can also search for this author in PubMed Google ScholarDe-Qiang WangYou can also search for this author in PubMed Google ScholarYuan HuYou can also search for this author in PubMed Google ScholarJi-Hua RenYou can also search for this author in PubMed Google ScholarNi TangYou can also search for this author in PubMed Google ScholarYin-Yin XuYou can also search for this author in PubMed Google ScholarLi-Hua YuYou can also search for this author in PubMed Google ScholarZhan MoYou can also search for this author in PubMed Google ScholarFang GongYou can also search for this author in PubMed Google ScholarXiao-Li ZhangYou can also search for this author in PubMed Google ScholarWen-Guang TianYou can also search for this author in PubMed Google ScholarLi HuYou can also search for this author in PubMed Google ScholarXian-Xiang ZhangYou can also search for this author in PubMed Google ScholarJiang-Lin XiangYou can also search for this author in PubMed Google ScholarHong-Xin DuYou can also search for this author in PubMed Google ScholarHua-Wen LiuYou can also search for this author in PubMed Google ScholarChun-Hui LangYou can also search for this author in PubMed Google ScholarXiao-He LuoYou can also search for this author in PubMed Google ScholarShao-Bo WuYou can also search for this author in PubMed Google ScholarXiao-Ping CuiYou can also search for this author in PubMed Google ScholarZheng ZhouYou can also search for this author in PubMed Google ScholarMan-Man ZhuYou can also search for this author in PubMed Google ScholarJing WangYou can also search for this author in PubMed Google ScholarCheng-Jun XueYou can also search for this author in PubMed Google ScholarXiao-Feng LiYou can also search for this author in PubMed Google ScholarLi WangYou can also search for this author in PubMed Google ScholarZhi-Jie LiYou can also search for this author in PubMed Google ScholarKun WangYou can also search for this author in PubMed Google ScholarChang-Chun NiuYou can also search for this author in PubMed Google ScholarQing-Jun YangYou can also search for this author in PubMed Google ScholarXiao-Jun TangYou can also search for this author in PubMed Google ScholarYong ZhangYou can also search for this author in PubMed Google ScholarXia-Mao LiuYou can also search for this author in PubMed Google ScholarJin-Jing LiYou can also search for this author in PubMed Google ScholarDe-Chun ZhangYou can also search for this author in PubMed Google ScholarFan ZhangYou can also search for this author in PubMed Google ScholarPing LiuYou can also search for this author in PubMed Google ScholarJun YuanYou can also search for this author in PubMed Google ScholarQin LiYou can also search for this author in PubMed Google ScholarJie-Li HuYou can also search for this author in PubMed Google ScholarJuan ChenYou can also search for this author in PubMed Google ScholarAi-Long HuangYou can also search for this author in PubMed Google ScholarContributionsConceptualization was provided by The methodology was developed by P. Liu, and Investigations were carried out by and The original draft of the manuscript was written by and Review and editing of the manuscript were carried out by and Funding acquisition was performed by and Resources were provided by P. Liao, . and provided authorsCorrespondence to Jie-Li Hu, Juan Chen or Ai-Long declarations Competing interests The authors declare no competing interests. Additional informationPeer review information Saheli Sadanand was the primary editor on this article and managed its editorial process and peer review in collaboration with the rest of the editorial note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional dataExtended Data Fig. 1 The performance evaluation of the SARS-CoV-2 specific IgG/IgM detection Thirty serum sample from COVID-19 patients showing different titers of IgG a range from to and IgM b range from to were tested. Each individual sample was tested in three independent experiment. CVs of titers of certain sample were calculated and presented. c,d. The correlation analysis of IgG and IgM titers serum samples from COVID-19 patients from 2 independent experiment. Forty-six serum samples from COVID-19 patients were detected using different batches of diagnostic kit for SARS-CoV-2 IgG c or IgM d antibody. Pearson correlation coefficients R are depicted in plots. For IgG, r = p = For IgM, r = p = e. The reactivity between COVID-19 patient serums N = 5 and SARS-CoV S1, N two sources and SARS-CoV-2 N protein were measured by ELISA. Serum samples from COVID-19 patients showed no cross-binding to SARS-CoV S1 antigen, while the reactivity between COVID-19 patient serums and SARS-CoV N antigen from different sources was inconsistent. Source Data Extended Data Fig. 2 Three types of Patients with a synchronous seroconversion of IgG and IgM N = 7. b. Seroconversion for IgG occurred later than that for IgMN = 5. c. Seroconversion for IgG occurred earlier than that for IgM N = 8.Extended Data Fig. 3 Dynamic changes of the SARS-CoV-2 specific course of the virus-specific IgG level in 19 patients experienced IgG titer plateau. IgG in each patient reached plateau within 6 days since IgG became Data Fig. 4 Dynamic changes of the SARS-CoV-2 specific course of the virus-specific IgM level in 20 patients experienced IgM titer plateau. IgM in each patient reached plateau within 6 days since IgM became Data Fig. 5 The association between the IgG levels at the plateau and clinical characteristics of the COVID-19 No significant difference in the IgG levels at the plateau was found between < 60 y group N = 11 and ≥ 60 y group N = 9. Unpaired, two-sided Mann-Whitney U test, p = b–d. No association was found between the IgG levels at the plateau and lymphocyte count b or CRP c or hospital stay d of the patients N = 20. Pearson correlation coefficients r and p value are depicted in plots. Source Data Extended Data Fig. 6 The assessment of MERS serological criteria for assessment of MERS serological criteria for COVID-19 confirmation were carried out in 41 patients with sequential samples. All 41 patients were classified into three groups based on IgG change from sequential samples, including 1 seroconversion, 2 fold change ≥ 4-fold in paired samples, 3 Data Fig. 7 Serology testing in identification of COVID-19 from 52 suspected of symptom onset, RT-PCR and serology testing in 4 cases developing positive IgG or/and IgM were Data Fig. 8 Serological survey in close contacts with COVID-19 cluster of 164 close contacts of known COVID-19 patients were tested by RT-PCR followed by serology testing. Serum samples were collected from these 164 individuals for antibody tests approximately 30 days after informationSource dataRights and permissionsAbout this articleCite this articleLong, QX., Liu, BZ., Deng, HJ. et al. Antibody responses to SARS-CoV-2 in patients with COVID-19. Nat Med 26, 845–848 2020. citationReceived 24 March 2020Accepted 22 April 2020Published 29 April 2020Issue Date June 2020DOI This article is cited by
PemeriksaanAnti Sars Cov2 Kuantitatif RBD, Apa Itu? Tahukah Anda? Pemeriksaan RBD (Receptor Binding Domain) ini bertujuan untuk mengukur kemampuan Antibodi melawan SARS COV-2 dan sampel darah Read More. 2021-03-29 04:12:36; Kegiatan Health Talk Bersama PT. Catur Mitra Sejati (Mitra 10)
Evaluation of Three Quantitative Anti-SARS-CoV-2 Antibody Immunoassays Sabine Chapuy-Regaud et al. Microbiol Spectr. 2021. Free PMC article Abstract The severe acute respiratory syndrome coronavirus 2 SARS-CoV-2 emerged in December 2019 and caused a dramatic pandemic. Serological assays are used to check for immunization and assess herd immunity. We evaluated commercially available assays designed to quantify antibodies directed to the SARS-CoV-2 Spike S antigen, either total Wantaï SARS-CoV-2 Ab ELISA or IgG SARS-CoV-2 IgG II Quant on Alinity, Abbott, and Liaison SARS-CoV-2 TrimericS IgG, Diasorin. The specificities of the Wantaï, Alinity, and Liaison assays were evaluated using 100 prepandemic sera and were 98, 99, and 97%, respectively. The sensitivities of all three were around 100% when tested on 35 samples taken 15 to 35 days postinfection. They were less sensitive for 150 sera from late infections >180 days. Using the first WHO international standard NIBSC, we showed that the Wantai results were concordant with the NIBSC values, while Liaison and Alinity showed a proportional bias of and 7, respectively. The results of the 3 immunoassays were significantly globally pairwise correlated and for late infection sera P < They were correlated for recent infection sera measured with Alinity and Liaison P < However, the Wantai results of recent infections were not correlated with those from Alinity or Liaison. All the immunoassay results were significantly correlated with the neutralizing antibody titers obtained using a live virus neutralization assay with the SARS-CoV-2 strain. These assays will be useful once the protective anti-SARS-CoV-2 antibody titer has been determined. IMPORTANCE Standardization and correlation with virus neutralization assays are critical points to compare the performance of serological assays designed to quantify anti-SARS-CoV-2 antibodies in order to identify their optimal use. We have evaluated three serological immunoassays based on the virus spike antigen that detect anti-SARS-CoV-2 antibodies a microplate assay and two chemiluminescent assays performed with Alinity Abbott and Liaison Diasorin analysers. We used an in-house live virus neutralization assay and the first WHO international standard to assess the comparison. This study could be useful to determine guidelines on the use of serological results to manage vaccination and treatment with convalescent plasma or monoclonal antibodies. Keywords COVID; SARS-CoV-2; binding antibodies; immunoassay; neutralizing antibodies. Conflict of interest statement The authors declare no conflict of interest. Figures FIG 1 Distribution of the results. A Wantaï, B Liaison, and C Alinity assays according to patient groups. Black lines = median of each group. Red lines = manufacturer’s negative/positive threshold. Zero 0 values in the Liaison negative group n = 92, the Liaison late infection group n = 15, the Alinity negative group n = 14, and the Alinity late infection group n = 7 are not shown. FIG 2 ROC curves for Wantaï black line, Liaison green line and Alinity red line. Gray line y = x. The AUROCs were Wantaï 95% CI to Liaison 95% CI to and Alinity 95% CI to indicating their capacity to accurately detect anti-SARS-CoV-2 antibodies. FIG 3 Quantification of anti-SARS-CoV-2 antibodies relative to the NIBSC international standard. Serial dilutions of the NIBSC 20/136 standard were assayed with the A Wantaï, B Liaison, and C Alinity assay. Neutralizing antibodies NAb were also determined with a live method D. The black line represents the regression line and the dashed lines its 95% CI. The dashed red line represents the y = x line. AU arbitrary units. BAU binding antibody unit. The equations were y = x − slope 95% CI to y-intercept 95% CI − to for Wantaï; y = x − slope 95% CI to y-intercept 95% CI − to for Liaison; y = x - slope 95% CI to y-intercept 95% CI − to for Alinity and y = x + slope 95% CI to y-intercept 95% CI − to for NAb titers. FIG 4 Correlation between the immunoassay results. Pairwise distribution of the Wantaï, Liaison, and Alinity assays values for all positive results A to C, recent infections D to F, and late infections G to I. When the Spearman rank coefficient r indicated a significant correlation, the regression line was drawn. Dashed lines 95% CI limits. FIG 5 Immunoassays results and neutralizing antibody titers. Distribution of the Wantaï, Liaison, and Alinity assay values and the NAb titers for all positive results A to C The NAb titers were determined in a live virus neutralization assay using the B strain. Spearman’s rank coefficients r and their P value are indicated. The box extends from the 25th to 75th percentiles and whiskers from minimal to maximal values. Similar articles Performance evaluation of three automated quantitative immunoassays and their correlation with a surrogate virus neutralization test in coronavirus disease 19 patients and pre-pandemic controls. Jung K, Shin S, Nam M, Hong YJ, Roh EY, Park KU, Song EY. Jung K, et al. J Clin Lab Anal. 2021 Sep;359e23921. doi Epub 2021 Aug 8. J Clin Lab Anal. 2021. PMID 34369009 Free PMC article. 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. Serological Assays for Assessing Postvaccination SARS-CoV-2 Antibody Response. Mahmoud SA, Ganesan S, Naik S, Bissar S, Zamel IA, Warren KN, Zaher WA, Khan G. Mahmoud SA, et al. Microbiol Spectr. 2021 Oct 31;92e0073321. doi Epub 2021 Sep 29. Microbiol Spectr. 2021. PMID 34585943 Free PMC article. Overview of Neutralization Assays and International Standard for Detecting SARS-CoV-2 Neutralizing Antibody. Liu KT, Han YJ, Wu GH, Huang KA, Huang PN. Liu KT, et al. Viruses. 2022 Jul 18;1471560. doi Viruses. 2022. PMID 35891540 Free PMC article. Review. 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 Diagnostic performance of four lateral flow immunoassays for COVID-19 antibodies in Peruvian population. Calderon-Flores R, Caceres-Cardenas G, Alí K, De Vos M, Emperador D, Cáceres T, Eca A, Villa-Castillo L, Albertini A, Sacks JA, Ugarte-Gil C. Calderon-Flores R, et al. PLOS Glob Public Health. 2023 Jun 2;36e0001555. doi eCollection 2023. PLOS Glob Public Health. 2023. PMID 37267241 Free PMC article. Correlation of Postvaccination Fever With Specific Antibody Response to Severe Acute Respiratory Syndrome Coronavirus 2 BNT162b2 Booster and No Significant Influence of Antipyretic Medication. Tani N, Ikematsu H, Goto T, Gondo K, Inoue T, Yanagihara Y, Kurata Y, Oishi R, Minami J, Onozawa K, Nagano S, Kuwano H, Akashi K, Shimono N, Chong Y. Tani N, et al. Open Forum Infect Dis. 2022 Sep 23;910ofac493. doi eCollection 2022 Oct. Open Forum Infect Dis. 2022. PMID 36267253 Free PMC article. Current immunoassays and detection of antibodies elicited by Omicron SARS-CoV-2 infection. Migueres M, Chapuy-Regaud S, Miédougé M, Jamme T, Lougarre C, Da Silva I, Pucelle M, Staes L, Porcheron M, Diméglio C, Izopet J. Migueres M, et al. J Med Virol. 2023 Jan;951e28200. doi Epub 2022 Oct 17. J Med Virol. 2023. PMID 36207814 Free PMC article. SARS-CoV-2 anti-spike antibodies after a fourth dose of COVID-19 vaccine in adult solid-organ transplant recipients. Perrier Q, Lupo J, Gerster T, Augier C, Falque L, Rostaing L, Pelletier L, Bedouch P, Blanc M, Saint-Raymond C, Boignard A, Bonadona A, Noble J, Epaulard O. Perrier Q, et al. Vaccine. 2022 Oct 19;40446404-6411. doi Epub 2022 Sep 6. Vaccine. 2022. PMID 36184404 Free PMC article. Can the COVID-19 Pandemic Improve the Management of Solid Organ Transplant Recipients? Del Bello A, Marion O, Izopet J, Kamar N. Del Bello A, et al. Viruses. 2022 Aug 24;1491860. doi Viruses. 2022. PMID 36146666 Free PMC article. Review. References Zhou P, Yang X-L, Wang X-G, Hu B, Zhang L, Zhang W, Si H-R, Zhu Y, Li B, Huang C-L, Chen H-D, Chen J, Luo Y, Guo H, Jiang R-D, Liu M-Q, Chen Y, Shen X-R, Wang X, Zheng X-S, Zhao K, Chen Q-J, Deng F, Liu L-L, Yan B, Zhan F-X, Wang Y-Y, Xiao G-F, Shi Z-L. 2020. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 579270–273. doi - DOI - PMC - PubMed Olbrich L, Castelletti N, Schälte Y, Garí M, Pütz P, Bakuli A, Pritsch M, Kroidl I, Saathoff E, Guggenbuehl Noller JM, Fingerle V, Le Gleut R, Gilberg L, Brand I, Falk P, Markgraf A, Deák F, Riess F, Diefenbach M, Eser T, Weinauer F, Martin S, Quenzel E-M, Becker M, Durner J, Girl P, Müller K, Radon K, Fuchs C, Wölfel R, Hasenauer J, Hoelscher M, Wieser A, On Behalf Of The KoCo-Study Group null. 2021. Head-to-head evaluation of seven different seroassays including direct viral neutralisation in a representative cohort for SARS-CoV-2. J Gen Virol 102. doi - DOI - PMC - PubMed Montesinos I, Dahma H, Wolff F, Dauby N, Delaunoy S, Wuyts M, Detemmerman C, Duterme C, Vandenberg O, Martin C, Hallin M. 2021. Neutralizing antibody responses following natural SARS-CoV-2 infection Dynamics and correlation with commercial serologic tests. J Clin Virol 144104988. doi - DOI - PMC - PubMed Favresse J, Cadrobbi J, Eucher C, Elsen M, Laffineur K, Dogné J-M, Douxfils J. 2021. Clinical performance of three fully automated anti-SARS-CoV-2 immunoassays targeting the nucleocapsid or spike proteins. J Med Virol 932262–2269. doi - DOI - PMC - PubMed Liu W, Liu L, Kou G, Zheng Y, Ding Y, Ni W, Wang Q, Tan L, Wu W, Tang S, Xiong Z, Zheng S. 2020. Evaluation of nucleocapsid and spike protein-based enzyme-linked immunosorbent assays for detecting antibodies against SARS-CoV-2. J Clin Microbiol 58e00461-20. doi - 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 PemeriksaanAnti-SARS-CoV-2 Kuantitatif merupakan pemeriksaan yang dapat mengukur titer antibodi atau antibodi penetral dalam tubuh seseorang terhadap virus penyebab COVID-19. Pemeriksaan ini mampu mengevaluasi respons imun seseorang terhadap virus SARS-CoV-2 sehingga memungkinkan dokter menilai perubahan relatif respons imun terhadap virus 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. Nah tes serologi kuantitatif ini memiliki tiga kegunaan, yaitu: 1. Bagi yang telah vaksinasi Covid-19, dapat mengetahui apakah tubuh sudah memiliki imun atau belum memiliki antibodi covid 19. 2. Bagi penyintas Covid-19 bisa mengetahui apakah serologinya dapat memproteksi dirinya atau masih bisa terkena kembali. 3. . 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
PemeriksaanAnti SARS-CoV-2 Kuantitatif dilakukan umumnya 14 hari setelah dosis vaksin terakhir diberikan sudah terjadi serokonversi, lalu secara berkala setiap 3-6 bulan. Untuk penyintas, pemeriksaan dilakukan secara berkala 3-6 bulan. Sementara, pemeriksaan juga dilakukan terhadap individu sebelum memberikan donor plasma konvalesen.
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 KartuTes Antigen COVID Rapid SARS-CoV-2 Kartu Tes Antigen SARS-CoV-2 Cepat. Petunjuk Penggunaan Penyedia Layanan Kesehatan. Hanya untuk penggunaan diagnostik in vitro; Hanya untuk digunakan di bawah Izin Penggunaan Darurat (EUA) Untuk digunakan dengan spesimen usap hidung anterior; Penggunaan yang dimaksudkan

. 2022 Jan;941388-392. doi Epub 2021 Aug 31. Affiliations PMID 34415572 PMCID PMC8426838 DOI Free PMC article Correlation between a quantitative anti-SARS-CoV-2 IgG ELISA and neutralization activity Ramona Dolscheid-Pommerich et al. J Med Virol. 2022 Jan. 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. 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Beritadan foto terbaru Anti SARS-CoV-2 Kuantitatif - Prodia Hadirkan Pemeriksaan Anti SARS-CoV-2 Kuantitatif (S-RBD) Bagi Penyintas Covid-19
. 2021 Mar 19;594e03149-20. doi Print 2021 Mar 19. 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. 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CoronavirusAg Rapid Test Cassette (Swab) adalah ujian imunokromatografi in vitro untuk pengesanan kualitatif antigen rotein nukleokapsid dari SARS-CoV-2 dalam spesimen swab nasofaring (NP) secara langsung atau setelah sapuan tersebut ditambahkan ke media pengangkutan viral dari individu yang disyaki COVID-19 oleh penyedia penjagaan kesihatan
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
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    • anti sars cov 2 kuantitatif