Evidence map›Paper›PMID 33310028›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2021

Dynamic anti-spike protein antibody profiles in COVID-19 patients.

Yujie Bao, Yun Ling, Ying-Ying Chen, Di Tian, Guo-Ping Zhao, Xiang-Hui Zhang, Hong Hang, Yu Li, Bing Su, Hong-Zhou Lu and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Yujie BaoDepartment of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Yun LingDepartment of Infectious Disease, Shanghai Public Health Clinical Center, Shanghai, 201052, China.
Ying-Ying ChenShanghai Institute of Immunology, Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Di TianDepartment of Infectious Disease, Shanghai Public Health Clinical Center, Shanghai, 201052, China.
Guo-Ping ZhaoBio-Med Big Data Center, Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200032, China.
Xiang-Hui ZhangWuXi Diagnostics Lab (Shanghai) Co., Shanghai, 200125, China.
Hong HangWuXi Diagnostics Lab (Shanghai) Co., Shanghai, 200125, China.
Yu LiWuXi Diagnostics Lab (Shanghai) Co., Shanghai, 200125, China.
Bing SuShanghai Institute of Immunology, Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Hong-Zhou LuDepartment of Infectious Disease, Shanghai Public Health Clinical Center, Shanghai, 201052, China. Electronic address: luhongzhou@fudan.edu.cn.
Jie XuDepartment of Infectious Disease, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China. Electronic address: xujie@shsmu.edu.cn.
Ying WangShanghai Institute of Immunology, Department of Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. Electronic address: ywang@sibs.ac.cn.
Shanghai Jiao Tong University · CNShanghai Public Health Clinical Center · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study intended to investigate the dynamics of anti-spike (S) IgG and IgM antibodies in COVID-19 patients.

methodsAnti-S IgG/IgM was determined by a semi-quantitative fluorescence immunoassay in the plasma of COVID-19 patients at the manifestation and rehabilitation stages. The immunoreactivity to full-length S proteins, C-terminal domain (CTD), and N-terminal domain (NTD) of S1 fragments were determined by an ELISA assay. Clinical properties at admission and discharge were collected simultaneously.

resultsThe positive rates of anti-S IgG/IgM in COVID-19 patients were elevated after rehabilitation compared to the in-patients. Anti-S IgG and IgM were not apparent until day 14 and day ten, respectively, according to Simple Moving Average analysis with five days' slide window deduction. More than 90% of the rehabilitation patients exhibited IgG and IgM responses targeting CTD-S1 fragments. Decreased total peripheral lymphocytes, CD4

conclusionsAnti-S IgG and IgM do not appear at the onset with the decrease in T cells, making early serological screening less significant. However, the presence of high IgG and IgM to S1-CTD in the recovered patients highlights humoral responses after SARS-CoV-2 infection, which might be associated with efficient immune protection in COVID-19 patients.

Indexed as

AdultAgedAged, 80 and overAntibodies, ViralCOVID-19COVID-19 TestingFemaleHumansImmunoglobulin GImmunoglobulin MMaleMiddle AgedSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, ViralImmunoglobulin GImmunoglobulin MSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19DynamicsIgG and IgMSARS-CoV-2Spike glycoprotein

Identifiers

PMID33310028
PMCPMC7836795
OpenAlexW3112421552

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.