Evidence map›Paper›PMID 35248063›Full record

ArticleImmunity & ageing : I & A2022

Association between inflammatory cytokines and anti-SARS-CoV-2 antibodies in hospitalized patients with COVID-19.

Xixi Jing, Min Xu, Deye Song, Tingting Yue, Yali Wang, Pan Zhang, Yanjun Zhong, Min Zhang, Tommy Tsan-Yuk Lam, Nuno Rodrigues Faria and 2 more

Open access · goldAbstract read
In one paragraph

Article in Immunity & ageing : I & A, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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  11. Pathogens (Basel, Switzerland) · 2024
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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 5 institutions in 4 countries.

Xixi Jing *Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Min Xu *Department of Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, China.
Deye Song *Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Tingting YueHunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Yali WangHunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Pan ZhangHunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Yanjun ZhongDepartment of Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, China.
Min ZhangInstitute of Hepatology and Department of Infectious Diseases, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Tommy Tsan-Yuk LamState Key Laboratory of Emerging Infectious Diseases, School of Public Health, The University of Hong Kong, Hong Kong, SAR, China.
Nuno Rodrigues FariaDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
Erik De ClercqDepartment of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, 3000, Leuven, Belgium.
Guangdi LiHunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, 410078, China. liguangdi.research@gmail.com.
Central South University · CNSecond Xiangya Hospital of Central South University · CNRega Institute for Medical Research · BEUniversity of Hong Kong · HKUniversity of Oxford · GB

Funding

Medical Research Council MR/R015600/1Medical Research Council MR/S019510/1
6 · The paper itself

Abstract

backgroundCOVID-19 patients may experience "cytokine storm" when human immune system produces excessive cytokines/chemokines. However, it remains unclear whether early responses of inflammatory cytokines would lead to high or low titers of anti-SARS-CoV-2 antibodies.

methodsThis retrospective study enrolled a cohort of 272 hospitalized patients with laboratory-confirmed SARS-CoV-2. Laboratory assessments of serum cytokines (IL-2R, IL-6, IL-8, IL-10, TNF-α), anti-SARS-CoV-2 IgG/IgM antibodies, and peripheral blood biomarkers were conducted during hospitalization.

resultsAt hospital admission, 36.4% patients were severely ill, 51.5% patients were ≥ 65 years, and 60.3% patients had comorbidities. Higher levels of IL-2R and IL-6 were observed in older patients (≥65 years). Significant differences of IL-2R (week 2 to week ≥5 from symptom onset), IL-6 (week 1 to week ≥5), IL-8 (week 2 to week ≥5), and IL-10 (week 1 to week 3) were observed between moderately-ill and severely ill patients. Anti-SARS-CoV-2 IgG titers were significantly higher in severely ill patients than in moderately ill patients, but such difference was not observed for IgM. High titers of early-stage IL-6, IL-8, and TNF-α (≤2 weeks after symptom onset) were positively correlated with high titers of late-stage IgG (≥5 weeks after symptom onset). Deaths were mostly observed in severely ill older patients (45.9%). Survival analyses revealed risk factors of patient age, baseline COVID-19 severity, and baseline IL-6 that affected survival time, especially in severely ill older patients.

conclusionEarly responses of elevated cytokines such as IL-6 reflect the active immune responses, leading to high titers of IgG antibodies against COVID-19.

Indexed as

COVID-19Cytokine dynamicsIgGIgMSARS-CoV-2

Identifiers

PMID35248063
PMCPMC8897556
OpenAlexW4220681574

What OpenQuestion holds

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Registered trials

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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.