Evidence map›Paper›PMID 34630079›Full record

ArticleFrontiers in pharmacology2021

Screening for Susceptibility-Related Biomarkers of Diclofenac-Induced Liver Injury in Rats Using Metabolomics.

Can Tu, Yuan Gao, Di Song, Ming Niu, Run-Ran Ma, Ming-Xi Zhou, Xian He, Xiao-He Xiao, Jia-Bo Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. A newFrontiers in toxicology · 2026
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  7. Investigation ofFrontiers in microbiology · 2022
    Article
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

9 authors at 4 institutions in 1 country.

Can TuBeijing Research Institute of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Yuan GaoSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Di SongChina Military Institute of Chinese Medicine, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Ming NiuChina Military Institute of Chinese Medicine, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Run-Ran MaSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Ming-Xi ZhouSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Xian HeSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Xiao-He XiaoChina Military Institute of Chinese Medicine, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Jia-Bo WangSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Capital Medical University · CNChinese People's Liberation Army · CNChinese PLA General Hospital · CNBeijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early identification of individuals susceptible to idiosyncratic drug-induced liver injury (IDILI) is a challenging unmet demand. Diclofenac, one of the most widely available over-the-counter drugs for pain management worldwide, may induce liver dysfunction, acute liver failure, and death. Herein, we report that diclofenac-related hepatobiliary adverse reactions occurred more frequently in cases with immune activation. Furthermore, experiments with rats demonstrated divergent hepatotoxicity responses in individuals exposed to diclofenac, and modest inflammation potentiated diclofenac-induced liver injury. Susceptible rats had unique plasma metabolomic characteristics, and as such, the metabolomic approach could be used to distinguish susceptible individuals. The 23 identified susceptibility-related metabolites were enriched by several metabolic pathways related to acute-phase reactions of immunocytes and inflammatory responses, including sphingolipid, tyrosine, phenylalanine, tryptophan, and lipid metabolism pathways. This finding implies a mechanistic role of metabolic and immune disturbances affects susceptibility to diclofenac-IDILI. Further nine metabolite biomarkers with potent diagnostic capabilities were identified using receiver operating characteristic curves. These findings elucidated the potential utility of metabolomic biomarkers to identify individuals susceptible to drug hepatotoxicity and the underlying mechanism of metabolic and immune disturbances occurring in IDILI.

Indexed as

biomarkerdiclofenacidiosyncratic drug-induced liver injurymetabolomicssusceptible individual

Identifiers

PMID34630079
PMCPMC8494976
OpenAlexW3203101307

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.