Evidence map›Paper›PMID 34289974›Full record

ArticleThe European respiratory journal2022

Metabolomic analyses reveal new stage-specific features of COVID-19.

Hongling Jia, Chaowu Liu, Dantong Li, Qingsheng Huang, Dong Liu, Ying Zhang, Chang Ye, Di Zhou, Yang Wang, Yanlian Tan and 17 more

Open access · hybridAbstract read
In one paragraph

Article in The European respiratory journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 2 pooled it
7.8field-weighted citation impact, top 2% 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

74 citing papers in PubMed, 2 syntheses or guidelines pooled it, 108 citations in OpenAlex.

  1. Pooled it
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  6. Host metabolic responses to SARS-CoV-2 and influenza viruses: parallels and contrasts.Metabolomics : Official journal of the Metabolomic Society · 2026
    Review
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  10. MTHFR allele and one-carbon metabolic profile predict severity of COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  12. Review
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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 8 institutions in 1 country.

Hongling JiaGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Chaowu LiuGuangdong Institute of Microbiology, Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangzhou, China.
Dantong LiClinical Data Center, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou, China.
Qingsheng HuangClinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Dong LiuBig Data and Machine Learning Laboratory, Chongqing University of Technology, Chongqing, China.
Ying ZhangGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Chang YeClinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Di ZhouMetabo-Profile Biotechnology (Shanghai) Co. Ltd, Shanghai, China.
Yang WangMetabo-Profile Biotechnology (Shanghai) Co. Ltd, Shanghai, China.
Yanlian TanDept of Medical Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, China.
Kuibiao LiGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Fangqin LinClinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Haiqing ZhangDept of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jingchao LinMetabo-Profile Biotechnology (Shanghai) Co. Ltd, Shanghai, China.
Yang XuGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Jingwen LiuGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Qing ZengGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Jian HongDept of Pathophysiology, School of Medicine, Jinan University, Guangzhou, China.
Guobing ChenInstitute of Geriatric Immunology, Dept of Microbiology and Immunology, School of Medicine, Dept of Neurology, Affiliated Huaqiao Hospital, Jinan University, Guangzhou, China.
Hao ZhangInstitute of Precision Cancer Medicine and Pathology, School of Medicine, Jinan University, Guangzhou, China.
Lingling ZhengClinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Xilong DengInstitute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou, China.
Changwen KeGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
Yunfei GaoZhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Jinan University, Zhuhai, China.
Jun FanDept of Medical Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, China.ORCID 0000-0001-6637-9891
Biao DiGuangzhou Center for Disease Control and Prevention, Guangzhou, China.
Huiying LiangClinical Data Center, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou, China lianghuiying@hotmail.com.
Jinan University · CNGuangzhou Center for Disease Control and Prevention · CNGuangzhou Medical University · CNGuangdong Academy of Medical Sciences · CNChongqing University of Technology · CNGuangdong Academy of Sciences · CNGuangdong Provincial Center for Disease Control and Prevention · CNGuangzhou Eighth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current pandemic of coronavirus disease 2019 (COVID-19) has affected >160 million individuals to date, and has caused millions of deaths worldwide, at least in part due to the unclarified pathophysiology of this disease. Identifying the underlying molecular mechanisms of COVID-19 is critical to overcome this pandemic. Metabolites mirror the disease progression of an individual and can provide extensive insights into their pathophysiological significance at each stage of disease. We provide a comprehensive view of metabolic characterisation of sera from COVID-19 patients at all stages using untargeted and targeted metabolomic analysis. As compared with the healthy controls, we observed different alteration patterns of circulating metabolites from the mild, severe and recovery stages, in both the discovery cohort and the validation cohort, which suggests that metabolic reprogramming of glucose metabolism and the urea cycle are potential pathological mechanisms for COVID-19 progression. Our findings suggest that targeting glucose metabolism and the urea cycle may be a viable approach to fight COVID-19 at various stages along the disease course.

Indexed as

COVID-19Cohort StudiesHumansMetabolomicsPandemicsSARS-CoV-2

Identifiers

PMID34289974
PMCPMC8311281
OpenAlexW3185464786

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.