Evidence map›Paper›PMID 34925252›Full record

ArticleFrontiers in microbiology2021

Longitudinal Metabolomics Reveals Ornithine Cycle Dysregulation Correlates With Inflammation and Coagulation in COVID-19 Severe Patients.

Tao Li, Nianzhi Ning, Bo Li, Deyan Luo, Enqiang Qin, Wenjing Yu, Jianxin Wang, Guang Yang, Nan Nan, Zhili He and 17 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

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

  1. Pooled it
  2. Observational
  3. Host metabolic responses to SARS-CoV-2 and influenza viruses: parallels and contrasts.Metabolomics : Official journal of the Metabolomic Society · 2026
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  13. SARS-CoV2 variants differentially impact on the plasma metabolome.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
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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

27 authors at 2 institutions in 1 country.

Tao LiState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Nianzhi NingState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Bo LiDepartment of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Deyan LuoState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Enqiang QinDepartment of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Wenjing YuState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Jianxin WangState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Guang YangDepartment of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Nan NanState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Zhili HeState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Ning YangDepartment of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Saisai GongState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Jiajia LiState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Aixia LiuDepartment of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Yakun SunState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Zhan LiState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Tianye JiaDepartment of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Jie GaoState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Wang ZhangDepartment of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Yanyu HuangState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Jun HouDepartment of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Ying XueState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Deyu LiState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Zhen WeiDepartment of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Liangyan ZhangState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Boan LiDepartment of Clinical Laboratory, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Hui WangState Key Laboratory of Pathogens and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Chinese PLA General Hospital · CNInstitute of Microbiology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is a severe disease in humans, as highlighted by the current global pandemic. Several studies about the metabolome of COVID-19 patients have revealed metabolic disorders and some potential diagnostic markers during disease progression. However, the longitudinal changes of metabolomics in COVID-19 patients, especially their association with disease progression, are still unclear. Here, we systematically analyzed the dynamic changes of the serum metabolome of COVID-19 patients, demonstrating that most of the metabolites did not recover by 1-3 days before discharge. A prominent signature in COVID-19 patients comprised metabolites of amino acids, peptides, and analogs, involving nine essential amino acids, 10 dipeptides, and four N-acetylated amino acids. The levels of 12 metabolites in amino acid metabolism, especially three metabolites of the ornithine cycle, were significantly higher in severe patients than in mild ones, mainly on days 1-3 or 4-6 since onset. Integrating blood metabolomic, biochemical, and cytokine data, we uncovered a highly correlated network, including 6 cytokines, 13 biochemical parameters, and 49 metabolites. Significantly, five ornithine cycle-related metabolites (ornithine, N-acetylornithine, 3-amino-2-piperidone, aspartic acid, and asparagine) highly correlated with "cytokine storms" and coagulation index. We discovered that the ornithine cycle dysregulation significantly correlated with inflammation and coagulation in severe patients, which may be a potential mechanism of COVID-19 pathogenicity. Our study provided a valuable resource for detailed exploration of metabolic factors in COVID-19 patients, guiding metabolic recovery, understanding the pathogenic mechanisms, and creating drugs against SARS-CoV-2 infection.

Indexed as

COVID-19inflammationmetabolomicsornithine cycleSARS-CoV-2

Identifiers

PMID34925252
PMCPMC8678452
OpenAlexW4200282722

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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.