Evidence map›Paper›PMID 38767715›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2025

Assessing the joint effects of mitochondrial genes and physical activity on the psychiatric phenotype of subjective well-being based on the UK Biobank data.

Panxing Shi, Bingyi Wang, Sirong Shi, Xiaoge Chu, Chen Liu, Meijuan Kang, Jingni Hui, Yifan Gou, Ruixue Zhou, Ye Liu and 3 more

Abstract read
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In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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. Article
  2. Review
  3. Aerobic exercise therapy in severe mental disorders: from methods to underlying mechanisms.European archives of psychiatry and clinical neuroscience · 2025
    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

13 authors.

Panxing ShiNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Bingyi WangNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Sirong ShiNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Xiaoge ChuNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Chen LiuNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Meijuan KangNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Jingni HuiNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Yifan GouNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Ruixue ZhouNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Ye LiuNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Yumeng JiaNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Feng ZhangNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China.
Yan WenNHC Key Laboratory of Environment and Endemic Diseases, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China. wenyan@xjtu.edu.cn.ORCID http://orcid.org/0000-0001-5317-4387

Funding

National Natural Science Foundation of China 81922059National Natural Science Foundation of China 82273753Natural Science Basic Research Program of Shaanxi Province 2021JCW-08
6 · The paper itself

Abstract

Subjective well-being (SWB) is an important measure for mental health status. Previous research has shown that physical activity can affect an individual's well-being, yet the underlying molecular mechanism remains to be clarified. In this study, we aim to evaluate the potential interactions between mitochondrial genes and physical activity (PA) as well as their combined effects on individual well-being. SWB phenotype data in UK Biobank were enrolled for this study including nine aspects such as work/job satisfaction, health satisfaction, family relationship satisfaction, friendships satisfaction, financial situation satisfaction, ever depressed for a whole week, general happiness, general happiness with own health and belief that own life is meaningful. We made analysis for each aspects separately. Firstly, mitochondria-wide association studies (MiWAS) was conducted to assess the association of mitochondrial Single Nucleotide Polymorphisms SNP with each aspect of SWB. Then an interaction analysis of mitochondrial DNA (mtDNA) mutation and PA was performed to evaluate their joint effect on SWB status. Meanwhile, these two analysis were made for female and male group separately as well as the total samples, all under the control of possible confounding factors including gender, age, Townsend Deprivation Index (TDI), education, alcohol consumption, smoking habits, and 10 principal components. MiWAS analysis identified 45 mtSNPs associated with 9 phenotypes of SWB. For example, m.15218A > G on MT-CYB in the health satisfaction phenotype of the total subjects. Gender-specific analyses found 30 mtSNPs in females and 58 in males, involving 13 mtGenes. In mtDNA-PA interaction analysis, we also identified 10 significant mtDNA-PA interaction sets for SWB. For instance, m.13020 T > C (MT-ND5) was associated with the SWB financial situation satisfaction phenotype in all subjects (P = 0.00577). In addition, MiWAS analysis identified 12 mtGene variants associated with SWB, as MT-ND1 and MT-ND2. However, in mtDNA-PA interactions we detected 7 mtDNA affecting psychiatric disorders occurring, as in the friendships satisfaction phenotype (m.3394 T > C on MT-ND1). Our study results suggest an implication of the interaction between mitochondrial function and physical activity in the risk of psychiatric disorder development.

Indexed as

DNA, MitochondrialExerciseGenes, MitochondrialPersonal SatisfactionAdultAgedBiological Specimen BanksFemaleHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotideUK BiobankUnited KingdomDNA, MitochondrialMental disordersMitochondrial DNA (mtDNA)Mitochondria-wide association (MiWAS)Physical activity (PA)Subjective well-being (SWB)

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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.