Evidence map›Paper›PMID 35288537›Full record

ArticleCell death & disease2022

Plasma proteomic and metabolomic characterization of COVID-19 survivors 6 months after discharge.

Hongwei Li, Xue Li, Qian Wu, Xing Wang, Zhonghua Qin, Yaguo Wang, Yanbin He, Qi Wu, Li Li, Huaiyong Chen

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
4.9field-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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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  16. Alterations in plasma proteome during acute COVID-19 and recovery.Molecular medicine (Cambridge, Mass.) · 2024
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  17. The Impact of Serum/Plasma Proteomics on SARS-CoV-2 Diagnosis and Prognosis.International journal of molecular sciences · 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

10 authors at 4 institutions in 2 countries.

Hongwei Li *Department of Respiratory Medicine, Haihe Hospital, Tianjin University, Tianjin, China.
Xue Li *Department of Basic Medicine, Haihe Hospital, Tianjin University, Tianjin, China.ORCID http://orcid.org/0000-0003-3040-7912
Qian Wu *Department of Respiratory Medicine, Haihe Hospital, Tianjin University, Tianjin, China.
Xing Wang *Department of Respiratory Medicine, Haihe Hospital, Tianjin University, Tianjin, China.
Zhonghua QinDepartment of Laboratory Medicine, Haihe Hospital, Tianjin University, Tianjin, China.
Yaguo WangKey Laboratory of RNA Biology, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Yanbin HeKey Laboratory of RNA Biology, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Qi WuKey Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin Institute of Respiratory Diseases, Tianjin, China. wq572004@163.com.ORCID http://orcid.org/0000-0002-8172-649X
Li LiDepartment of Respiratory Medicine, Haihe Hospital, Tianjin University, Tianjin, China. lily20060718@163.com.ORCID http://orcid.org/0000-0003-2542-2392
Huaiyong ChenDepartment of Basic Medicine, Haihe Hospital, Tianjin University, Tianjin, China. huaiyong.chen@foxmail.com.ORCID http://orcid.org/0000-0002-1201-0535
Tianjin University · CNTianjin University of Traditional Chinese Medicine · CNChinese Academy of Sciences · CNTiangong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) has gained prominence as a global pandemic. Studies have suggested that systemic alterations persist in a considerable proportion of COVID-19 patients after hospital discharge. We used proteomic and metabolomic approaches to analyze plasma samples obtained from 30 healthy subjects and 54 COVID-19 survivors 6 months after discharge from the hospital, including 30 non-severe and 24 severe patients. Through this analysis, we identified 1019 proteins and 1091 metabolites. The differentially expressed proteins and metabolites were then subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Among the patients evaluated, 41% of COVID-19 survivors reported at least one clinical symptom and 26.5% showed lung imaging abnormalities at 6 months after discharge. Plasma proteomics and metabolomics analysis showed that COVID-19 survivors differed from healthy control subjects in terms of the extracellular matrix, immune response, and hemostasis pathways. COVID-19 survivors also exhibited abnormal lipid metabolism, disordered immune response, and changes in pulmonary fibrosis-related proteins. COVID-19 survivors show persistent proteomic and metabolomic abnormalities 6 months after discharge from the hospital. Hence, the recovery period for COVID-19 survivors may be longer.

Indexed as

COVID-19FemaleHumansMaleMetabolomicsMiddle AgedPatient DischargeProteomicsSevere acute respiratory syndrome-related coronavirusSurvivorsTime Factors

Identifiers

PMID35288537
PMCPMC8919172
OpenAlexW4220961963

What OpenQuestion holds

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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.