Evidence map›Paper›PMID 33841749›Full record

ArticleComputational and structural biotechnology journal2021

Metabolomics reveals sex-specific metabolic shifts and predicts the duration from positive to negative in non-severe COVID-19 patients during recovery process.

Hong Zheng, Shengwei Jin, Ting Li, Weiyang Ying, Binyu Ying, Dong Chen, Jie Ning, Chanfan Zheng, Yuping Li, Chen Li and 3 more

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Network-based integration of metabolomics data from large-scale repositories.Metabolomics : Official journal of the Metabolomic Society · 2026
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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

13 authors.

Hong ZhengDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325015, China.
Shengwei JinDepartment of Anesthesia and Critical Care, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, China.
Ting LiClinical Research Unit, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China.
Weiyang YingDepartment of Pain Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China.
Binyu YingDepartment of Critical Care Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China.
Dong ChenWenzhou Central Hospital, Wenzhou 325015, China.
Jie NingSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China.
Chanfan ZhengClinical Research Unit, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China.
Yuping LiDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325015, China.
Chen LiSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China.
Chengshui ChenDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325015, China.
Xiaokun LiSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China.
Hongchang GaoDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325015, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic profiling in COVID-19 patients has been associated with disease severity, but there is no report on sex-specific metabolic changes in discharged survivors. Herein we used an integrated approach of LC-MS-and GC-MS-based untargeted metabolomics to analyze plasma metabolic characteristics in men and women with non-severe COVID-19 at both acute period and 30 days after discharge. The results demonstrate that metabolic alterations in plasma of COVID-19 patients during the recovery and rehabilitation process were presented in a sex specific manner. Overall, the levels of most metabolites were increased in COVID-19 patients after the cure relative to acute period. The major plasma metabolic changes were identified including fatty acids in men and glycerophosphocholines and carbohydrates in women. In addition, we found that women had shorter length of hospitalization than men and metabolic characteristics may contribute to predict the duration from positive to negative in non-severe COVID-19 patients. Collectively, this study shed light on sex-specific metabolic shifts in non-severe COVID-19 patients during the recovery process, suggesting a sex bias in prognostic and therapeutic evaluations based on metabolic profiling.

Indexed as

ALT, Alanine aminotransferaseAP, Acute period (AP)APTT, Activated partial thromboplastin timeBCAAs, Branched‐chain amino acidsBP, Blood plateletCA, CarbamideCOVID-19COVID-19, Novel coronavirus disease 2019CRP, C-reactive proteinDAA, Dehydroascorbic acidDD, D-dimerDP, Diastolic pressureFatty acidFIB, FibrinogenFP, Follow-up periodGPCs, GlycerophosphocholinesHGB, HemoglobinLY, LymphocyteMetabolismNG, Neutrophilic granulocyteNK, Natural killerPCT, ProcalcitoninPLS-DA, Partial least squares-discriminant analysisPLSR, Partial least squares regressionPTC, PhosphatidylcholinePT, Prothrombin timeRDW, Red cell distribution widthRR, Respiratory rateS1P, Sphingosine-1-phosphateSARS-CoVSex differenceTBL, Total B lymphocyteTTL, Total T lymphocyteWBC, White blood cell

Identifiers

PMID33841749
PMCPMC8021501

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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.