Evidence map›Paper›PMID 33121429›Full record

ArticleMolecular medicine (Cambridge, Mass.)2020

IP-10 and MCP-1 as biomarkers associated with disease severity of COVID-19.

Yu Chen, Jinglan Wang, Chenxi Liu, Longxiang Su, Dong Zhang, Junping Fan, Yanli Yang, Meng Xiao, Jing Xie, Yingchun Xu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
187citing papers in PubMed, 3 pooled it
5.3field-weighted citation impact, top 3% 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

187 citing papers in PubMed, 3 syntheses or guidelines pooled it, 292 citations in OpenAlex.

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  19. Frontiers in immunology · 2026
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127 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Yu ChenDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuaifuyuan Road, Beijing, 100730, China.
Jinglan WangDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Chenxi LiuDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuaifuyuan Road, Beijing, 100730, China.
Longxiang SuDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Dong ZhangDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuaifuyuan Road, Beijing, 100730, China.
Junping FanDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Yanli YangDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Meng XiaoDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuaifuyuan Road, Beijing, 100730, China.
Jing XieDepartment of Infectious Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Yingchun XuDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuaifuyuan Road, Beijing, 100730, China.
Yongzhe LiDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuaifuyuan Road, Beijing, 100730, China. yongzhelipumch@126.com.ORCID 0000-0002-0046-5276
Shuyang ZhangDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, 1 Shuaifuyuan Road, Beijing, 100730, China. shuyangzhang103@163.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

CAMS Innovation Fund for Medical Sciences CIFMS 017-I2M-B&R-01CAMS Innovation Fund for Medical Sciences CIFMS 2017-I2M-3-001the National Natural Science Foundation of China 81671618the National Natural Science Foundation of China 81871302
6 · The paper itself

Abstract

backgroundCOVID-19 is a viral respiratory disease caused by the severe acute respiratory syndrome-Coronavirus type 2 (SARS-CoV-2). Patients with this disease may be more prone to venous or arterial thrombosis because of the activation of many factors involved in it, including inflammation, platelet activation and endothelial dysfunction. Interferon gamma inducible protein-10 (IP-10), monocyte chemoattractant protein-1 (MCP-1) and macrophage inflammatory protein 1-alpha (MIP1α) are cytokines related to thrombosis. Therefore, this study focused on these three indicators in COVID-19, with the hope to find biomarkers that are associated with patients' outcome.

methodsThis is a retrospective single-center study involving 74 severe and critically ill COVID-19 patients recruited from the ICU department of the Tongji Hospital in Wuhan, China. The patients were divided into two groups: severe patients and critically ill patients. The serum IP-10, MCP-1 and MIP1α level in both groups was detected using the enzyme-linked immunosorbent assay (ELISA) kit. The clinical symptoms, laboratory test results, and the outcome of COVID-19 patients were retrospectively analyzed.

resultsThe serum IP-10 and MCP-1 level in critically ill patients was significantly higher than that in severe patients (P < 0.001). However, no statistical difference in MIP1α between the two groups was found. The analysis of dynamic changes showed that these indicators remarkably increased in patients with poor prognosis. Since the selected patients were severe or critically ill, no significant difference was observed between survival and death.

conclusionsIP-10 and MCP-1 are biomarkers associated with the severity of COVID-19 disease and can be related to the risk of death in COVID-19 patients.

Indexed as

Adaptor Proteins, Signal TransducingAgedBetacoronavirusBiomarkersChemokine CCL2Chemokine CXCL10Coronavirus InfectionsCOVID-19Critical IllnessCytokine Release SyndromeDisseminated Intravascular CoagulationFemaleHumansMaleMiddle AgedPandemicsAdaptor Proteins, Signal TransducingBiomarkersCCL2 protein, humanChemokine CCL2Chemokine CXCL10CXCL10 protein, humanMAPKAP1 protein, humanCOVID-19Critically ill patientsIP-10MCP-1

Identifiers

PMID33121429
PMCPMC7594996
OpenAlexW3096383810

What OpenQuestion holds

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LicenceCC BY
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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.