Evidence map›Paper›PMID 34107113›Full record

ArticleInternational journal of clinical practice2021

Changes of serum IL-10, IL-1β, IL-6, MCP-1, TNF-α, IP-10 and IL-4 in COVID-19 patients.

Qingqing Lu, Zhenhua Zhu, Chaochao Tan, Hui Zhou, Yan Hu, Ge Shen, Pan Zhu, Gang Yang, Xiaobing Xie

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
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  14. Predictive Role and Clinical Value of Serum Cytokines in COVID-19.Infectious diseases & clinical microbiology · 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

9 authors at 4 institutions in 1 country.

Qingqing LuThe First Clinical College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China.ORCID https://orcid.org/0000-0001-5602-0148
Zhenhua ZhuMedical Laboratory and Pathology Center, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.
Chaochao TanClinical laboratory, Hunan Provincial People's Hospital, Changsha, China.
Hui ZhouMedical Laboratory and Pathology Center, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.
Yan HuMedical Laboratory and Pathology Center, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.
Ge ShenLoudi Center for Disease Control and Prevention, Loudi, China.
Pan ZhuLoudi Center for Disease Control and Prevention, Loudi, China.
Gang YangLoudi Center for Disease Control and Prevention, Loudi, China.
Xiaobing XieMedical Laboratory and Pathology Center, The First Hospital of Hunan University of Chinese Medicine, Changsha, China.
First Affiliated Hospital of Hunan University of Traditional Chinese Medicine · CNLoudi Central Hospital · CNHunan Provincial People's Hospital · CNHunan University of Traditional Chinese Medicine · CN

Funding

Novel Coronavirus Pneumonia Emergency Project of Hunan Province Science and Technology Department 2020SK3009Novel Coronavirus Pneumonia Emergency Project of Hunan Province Science and Technology Department 2020SK3018Novel Coronavirus Pneumonia Emergency Project of Hunan Province Science and Technology Department 2020SK3042the First-class Discipline Open Fund Project of Hunan University of Chinese Medicine 2018YXJS02
6 · The paper itself

Abstract

background and purposeStudies have shown that some cytokines in COVID-19 patients were elevated. This study aims to assess whether IL-10, IL-1β, IL-6, MCP-1, TNF-α, IP-10 and IL-4 serve as potential diagnostic biomarkers of COVID-19.

methodsThe above serum cytokines in COVID-19 patients and non-COVID-19 patients were detected by ELISA and SARS-CoV-2 IgM and IgG were detected by the chemiluminescence method. The independent-sample Mann-Whitney U test was utilised to compare cytokine levels in different groups and courses, the Levene T-test and T'-test were utilised to compare they in different genders and the Spearman correlation test was utilised to analyse the correlation between the cytokine levels with ages and SARS-CoV-2 IgG and IgM.

resultsSerum levels of IL-10, IL-1β, MCP-1, TNF-α and IL-4 in COVID-19 patients were significantly higher than those in non-COVID-19 patients, while IL-6 were only significantly higher than in healthy people, IP-10 were significantly lower than in other diseases patients. AUCs of COVID-19 diagnosed by IL-10, IL-1β, IL-6, MCP-1, TNF-α, IP-10 and IL-4 were 0.735, 0.775, 0.595, 0.821, 0.848, 0.38 and 0.682, respectively. In the COVID-19 patients' serum, the levels of IL-10 and MCP-1 of male were noticeably higher than those of female, and all cytokines were significantly positively correlated with age, IL-1β and IL-4 were significantly negatively correlated with SARS-CoV-2 IgM, while IL-10, IL-1β, IL-6, TNF- and IP-10 were significantly negatively correlated with SARS-CoV-2 IgG. IL-10 on 43-56 days was significantly lower than at 29-42 days, TNF-α at 15-42 days was significantly higher than at 0-14 days, IP-10 at 0-14 days was the highest and IL-4 at 29-42 days was significantly higher than at 0-14 days.

conclusionsThe detection of IL-10, IL-1 β, IL-6, MCP-1, TNF-α and IL-4 would assist the clinical study of COVID-19, and IP-10 may be the cytokine of early elevation in COVID-19 patients.

Indexed as

COVID-19Tumor Necrosis Factor-alphaChemokine CXCL10CytokinesFemaleHumansInterleukin-10Interleukin-1betaInterleukin-4Interleukin-6MaleSARS-CoV-2Chemokine CXCL10CytokinesInterleukin-10Interleukin-1betaInterleukin-4Interleukin-6Tumor Necrosis Factor-alpha

Identifiers

PMID34107113
PMCPMC8237069
OpenAlexW3172510702

What OpenQuestion holds

Textmetadata
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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.