Evidence map›Paper›PMID 38764769›Full record

ArticleWorld journal of gastroenterology2024

Salivary metabolites are promising noninvasive biomarkers of drug-induced liver injury.

Si-Miao Yu, Hao-Cheng Zheng, Si-Ci Wang, Wen-Ya Rong, Ping Li, Jing Jing, Ting-Ting He, Jia-Hui Li, Xia Ding, Rui-Lin Wang

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Review
  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

10 authors.

Si-Miao YuSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Hao-Cheng ZhengSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Si-Ci WangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Wen-Ya RongSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong Province, China.
Ping LiSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Jing JingDepartment of Hepatology of Traditional Chinese Medicine, The Fifth Medical Center of PLA General Hospital, Beijing 100039, China.
Ting-Ting HeDepartment of Hepatology of Traditional Chinese Medicine, The Fifth Medical Center of PLA General Hospital, Beijing 100039, China.
Jia-Hui LiThe First Clinical Medical College, Henan University of Traditional Chinese Medicine, Zhengzhou 450000, Henan Province, China.
Xia DingSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China.
Rui-Lin WangDepartment of Hepatology of Traditional Chinese Medicine, The Fifth Medical Center of PLA General Hospital, Beijing 100039, China. WRL7905@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrug-induced liver injury (DILI) is one of the most common adverse events of medication use, and its incidence is increasing. However, early detection of DILI is a crucial challenge due to a lack of biomarkers and noninvasive tests.

aimTo identify salivary metabolic biomarkers of DILI for the future development of noninvasive diagnostic tools.

methodsSaliva samples from 31 DILI patients and 35 healthy controls (HCs) were subjected to untargeted metabolomics using ultrahigh-pressure liquid chromatography coupled with tandem mass spectrometry. Subsequent analyses, including partial least squares-discriminant analysis modeling,

resultsWe found 247 differentially expressed salivary metabolites between the DILI group and the HC group. Using WMCNA, we identified a set of 8 DEMs closely related to liver injury for further prediction testing. Interestingly, the distinct separation of DILI patients and HCs was achieved with five metabolites, namely, 12-hydroxydodecanoic acid, 3-hydroxydecanoic acid, tetradecanedioic acid, hypoxanthine, and inosine (area under the curve: 0.733-1).

conclusionSalivary metabolomics revealed previously unreported metabolic alterations and diagnostic biomarkers in the saliva of DILI patients. Our study may provide a potentially feasible and noninvasive diagnostic method for DILI, but further validation is needed.

Indexed as

BiomarkersChemical and Drug Induced Liver InjuryMetabolomicsSalivaAdultAgedCase-Control StudiesChromatography, High Pressure LiquidEarly DiagnosisFemaleHumansMaleMiddle AgedROC CurveTandem Mass SpectrometryBiomarkersBiomarkerDiagnostic methodDrug-Induced liver injuryMachine learningMetabolitesMetabolomicsNoninvasiveSalivaryWeighted metabolite Coexpression network analysis

Identifiers

PMID38764769
PMCPMC11099387

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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.