Evidence map›Paper›PMID 37653517›Full record

ArticleBMC genomic data2023

Relationship between DNA methylation changes and skeletal muscle mass.

Jeong-An Gim, Sang-Yeob Lee, Seung Chan Kim, Kyung-Wan Baek, Sung Hyo Seo, Jun-Il Yoo

Open access · goldAbstract read
In one paragraph

Article in BMC genomic data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 4 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

6 authors at 4 institutions in 1 country.

Jeong-An Gim *Department of Medical Science Research Center, College of Medicine, Korea University, Seoul, South Korea.
Sang-Yeob Lee *Department of Biomedical Research Institute, Gyeongsang National University Hospital, Jinju, South Korea.
Seung Chan KimDepartment of Biostatistics Cooperation Center, Gyeongsang National University Hospital, Jinju, South Korea.
Kyung-Wan BaekDepartment of Physical Education, Gyeongsang National University, Jinju, South Korea.
Sung Hyo SeoDepartment of Biomedical Research Institute, Gyeongsang National University Hospital, Jinju, South Korea.
Jun-Il YooDepartment of Orthopaedic Surgery, Inha University Hospital, 27 Inhang-ro, Jung-gu, Incheon, 22332, Republic of Korea. furim@daum.net.
Gyeongsang National University · KRGyeongsang National University Hospital · KRInha University Hospital · KRKorea University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is a disease diagnosed in the elderly. In patients with sarcopenia, the muscle mass decreases every year. The occurrence of sarcopenia is greatly affected by extrinsic factors such as eating habits, exercise, and lifestyle. The present study aimed to determine the relationship between muscle mass traits and genes affected by epigenetic factors with three different adjustment methods using Korean Genome and Epidemiology Study (KOGES) data.

resultsWe conducted a demographic study and DNA methylation profiling by three studies according to the muscle mass index (MMI) adjustment methods: appendicular skeletal muscle mass divided by body weight (MMI1); appendicular skeletal muscle mass divided by square of height (MMI2); appendicular skeletal muscle mass divided by BMI (MMI3). We analyzed differentially methylated regions (DMRs) for each group. We then restricted our subjects to be top 30% (T30) and bottom 30% (B30) based on each MMI adjustment method. Additionally, we performed enrichment analysis using PathfindR to evaluate the relationship between identified DMRs and sarcopenia. A total of 895 subjects were included in the demographic study. The values of BMI, waist, and hip showed a significant difference in all three groups. Among 446 participants, 44 subjects whose DNA methylation profiles were investigated were included for DNA methylation analysis. The results of enrichment analysis showed differences between groups. In the women group through MMI1 method, only the glutamatergic synapse pathway showed a significant result. In the men group through MMI2 method, the adherens junction pathway was the most significant. Women group through MMI2 method showed similar results, having an enriched Rap1 signaling pathway. In men group through MMI3 method, the Fc epsilon RI signaling pathway was the most enriched. Particularly, the notch signaling pathway was significantly enriched in women group through MMI3 method.

conclusionThis study presents results about which factor should be concerned first in muscle mass index (MMI) adjustment. The present study suggested that GAB2 and JPH3 in MMI1 method, HLA-DQB1 and TBCD in MMI2 method, GAB2, NDUFB4 and ISPD in MMI3 method are potential genes that can have an impact on muscle mass. It could enable future epigenetic studies of genes based on annotation results. The present study is a nationwide study in Korea with the largest size up to date that compares adjustment indices for MMI in epigenetic research.

Indexed as

DNA MethylationSarcopeniaAdherens JunctionsAgedFemaleHumansMaleMicrotubule-Associated ProteinsMuscle, SkeletalMicrotubule-Associated ProteinsTBCD protein, humanDifferentially methylated regionsDNA methylationEpigeneticsMuscle mass indexSarcopenia

Identifiers

PMID37653517
PMCPMC10472633
OpenAlexW4386332332

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LicenceCC BY
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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.