Evidence map›Paper›PMID 34465797›Full record

ArticleScientific reports2021

TANC1 methylation as a novel biomarker for the diagnosis of patients with anti-tuberculosis drug-induced liver injury.

Dongxue Wu, Yuhong Li, Qi Ren, Shengfei Pei, Lin Wang, Luming Yang, Yingzhi Chong, Shufeng Sun, Jinqi Hao, Fumin Feng

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Dongxue WuSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Yuhong LiSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Qi RenSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Shengfei PeiSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Lin WangSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Luming YangSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Yingzhi ChongSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Shufeng SunCollege of Nursing and Rehabilitation, North China University of Science and Technology, Tangshan, 063210, China.
Jinqi HaoSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Fumin FengSchool of Public Health, North China University of Science and Technology, Tangshan, 063210, China. fm_feng@sina.com.
North China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to elucidate the differences in genomic methylation patterns between ADLI and non-ADLI patients to identify DNA methylation-based biomarkers. Genome-wide DNA methylation patterns were obtained using Infinium MethylationEPIC (EPIC) BeadChip array to analyze 14 peripheral blood samples (7 ADLI cases, 7 non-ADLI controls). Changes in the mRNA and DNA methylation in the target genes of another 120 peripheral blood samples (60 ADLI cases, 60 non-ADLI controls) were analyzed by real-time polymerase chain reaction and pyrosequencing, respectively. A total of 308 hypermethylated CpG sites and 498 hypomethylated CpG sites were identified. Significantly, hypermethylated CpG sites cg06961147 and cg24666046 in TANC1 associated with ADLI was identified by genome-wide DNA methylation profiling. The mRNA expression of TANC1 was lower in the cases compared to the controls. Pyrosequencing validated these two differentially methylated loci, which was consistent with the results from the EPIC BeadChip array. Receiver operating characteristic analysis indicated that the area under the curve of TANC1 (cg06961147, cg24666046, and their combinations) was 0.812, 0.842, and 0.857, respectively. These results indicate that patients with ADLI have different genomic methylation patterns than patients without ADLI. The hypermethylated differentially methylated site cg06961147 combined with cg24666046 in TANC1 provides evidence for the diagnosis of ADLI.

Indexed as

DNA MethylationAdultAntitubercular AgentsBiomarkersCase-Control StudiesChemical and Drug Induced Liver InjuryCpG IslandsEpigenesis, GeneticFemaleHumansMaleMembrane ProteinsMiddle AgedMycobacterium tuberculosisPromoter Regions, GeneticTuberculosisAntitubercular AgentsBiomarkersMembrane ProteinsTANC1 protein, human

Identifiers

PMID34465797
PMCPMC8408132
OpenAlexW3196491846

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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.