Evidence map›Paper›PMID 38907347›Full record

ArticleRespiratory research2024

Longitudinal metabolomics of human plasma reveal metabolic dynamics and predictive markers of antituberculosis drug-induced liver injury.

Mengjiao Li, Dan Zhang, Qingxin Yang, Zhenzhen Zhao, Chunying Zhang, Yanbing Zhou, Yangjuan Bai, Lu Chen, Xiaoyan Tang, Cuihua Liu and 3 more

Abstract read
In one paragraph

Article in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Mengjiao LiDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Dan ZhangDepartment of Laboratory Medicine, State Key Laboratory of Biotherapy and Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Qingxin YangDepartment of Laboratory Medicine, State Key Laboratory of Biotherapy and Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Zhenzhen ZhaoDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Chunying ZhangDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yanbing ZhouDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yangjuan BaiDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Lu ChenDepartment of Laboratory Medicine, State Key Laboratory of Biotherapy and Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Xiaoyan TangDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Cuihua LiuCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China. liucuihua@im.ac.cn.
Juan ZhouDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China. zhoujuan39@wchscu.cn.
Xuerong ChenDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China. 384481688@qq.com.
Binwu YingDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China. yingbinwu@scu.edu.cn.

Funding

National Natural Science Foundation of China 82102484National Science & Technology Pillar Program 2018ZX10715003Sichuan Natural Science Foundation 2022NSFSC0747
6 · The paper itself

Abstract

Tuberculosis (TB) remains the second leading cause of death from a single infectious agent and long-term medication could lead to antituberculosis drug-induced liver injury (ATB-DILI). We established a prospective longitudinal cohort of ATB-DILI with multiple timepoint blood sampling and used untargeted metabolomics to analyze the metabolic profiles of 107 plasma samples from healthy controls and newly diagnosed TB patients who either developed ATB-DILI within 2 months of anti-TB treatment (ATB-DILI subjects) or completed their treatment without any adverse drug reaction (ATB-Ctrl subjects). The untargeted metabolome revealed that 77 metabolites (of 895 total) were significantly changed with ATB-DILI progression. Among them, levels of multiple fatty acids and bile acids significantly increased over time in ATB-DILI subjects. Meanwhile, metabolites of the same class were highly correlated with each other and pathway analysis indicated both fatty acids metabolism and bile acids metabolism were up-regulated with ATB-DILI progression. The targeted metabolome further validated that 5 fatty acids had prediction capability at the early stage of the disease and 6 bile acids had a better diagnostic performance when ATB-DILI occurred. These findings provide evidence indicating that fatty acids metabolism and bile acids metabolism play a vital role during ATB-DILI progression. Our report adds a dynamic perspective better to understand the pathological process of ATB-DILI in clinical settings.

Indexed as

Antitubercular AgentsBiomarkersChemical and Drug Induced Liver InjuryMetabolomicsAdultBile Acids and SaltsFemaleHumansLongitudinal StudiesMaleMiddle AgedPredictive Value of TestsProspective StudiesTuberculosisAntitubercular AgentsBile Acids and SaltsBiomarkersBiomarkerDrug-induced liver injuryMetabolomicsTuberculosis

Identifiers

PMID38907347
PMCPMC11193241

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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.