Evidence map›Paper›PMID 41530779›Full record

ArticleClinical epigenetics2026

Diet intervention altered DNA methylation of potassium voltage-gated channel subfamily Q member 1 in metabolic dysfunction-associated steatohepatitis.

Xinyu Shi, Hualing Song, Xinying Xiong, Shuang Wei, Lei Zhang, Shengfu You, Wenjun Zhou, Guang Ji, Baocheng Liu, Na Wu

Abstract read
In one paragraph

Article in Clinical epigenetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

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4 · The record

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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.

Xinyu Shi *School of Public Health, Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Hualing Song *School of Public Health, Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Xinying XiongSchool of Public Health, Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Shuang WeiSchool of Public Health, Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Lei ZhangSchool of Public Health, Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Shengfu YouState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Wenjun ZhouState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Guang JiState Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Baocheng LiuSchool of Public Health, Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. baochliu_lab@163.com.
Na WuSchool of Public Health, Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. wuna0308@163.com.

Funding

National Natural Science Foundation of China 82405047Science and Technology Innovation Action Plan" Qi Ming Xing Cultivation 23YF1447700
6 · The paper itself

Abstract

backgroundLifestyle interventions are cornerstones of metabolic dysfunction-associated fatty liver disease (MASLD) management, and differential DNA methylation of potassium voltage-gated channel subfamily Q member 1 (KCNQ1) was involved in MASLD-related diseases. However, little is known about the DNA methylation mechanism of KCNQ1 underlying the effect of lifestyle interventions on the most common liver disease.

objectiveThis study aimed to investigate the role of DNA methylation of KCNQ1 in metabolic dysfunction-associated steatohepatitis (MASH) after diet intervention.

methodsThis study utilized 38 male C57BL/6 mice (9-week-old, SPF grade). Following a 1-week acclimatization period, animals were randomly allocated to receive either a methionine-choline deficient (MCD, n = 23) or methionine-choline sufficient (MCS, n = 15) dietary regimen for 4 weeks. Seven mice per group were subsequently euthanized for MASH model validation. After confirming successful model establishment, remaining MASH mice underwent randomized allocation to four-week interventions: low-fat diet (LFD, n = 8), continued MCD feeding (n = 8), or control MCS maintenance (n = 8). Genomic DNA methylation patterns in hepatic and adipose tissues were analyzed using methylation-sensitive restriction enzyme sequencing (MethylRAD). For LFD-treated MASH specimens, EpiTYPER mass spectrometry and quantitative reverse transcription PCR were employed to assess DNA methylation status and transcriptional expression of KCNQ1, respectively.

resultsHypermethylation in the intron of KCNQ1 was observed after LFD intervention in the liver and adipose tissue of MASH mice (p < 0.05) with MethylRAD sequencing. High DNA methylation and low mRNA expression of KCNQ1 were validated in adipose tissue of MASH mice in response to LFD (p < 0.05) with the EpiTYPER array.

conclusionsThe study reinforced the role of DNA methylation in regulating gene expression of KCNQ1 in response to LFD intervention and highlighted that the DNA methylation of KCNQ1 in MASH adipose tissue could be tissue-specific. All these results contribute to elucidating the molecular mechanisms underlying the activities of DNA methylation in MASH.

Indexed as

DNA MethylationFatty LiverKCNQ1 Potassium ChannelAnimalsCholineDiet, Fat-RestrictedDisease Models, AnimalLiverMaleMethionineMiceMice, Inbred C57BLCholineKCNQ1 Potassium ChannelKcnq1 protein, mouseMethionineDiet interventionDNA methylationKCNQ1MASH

Identifiers

PMID41530779
PMCPMC13200479

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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.