Evidence map›Paper›PMID 41238714›Full record

ArticleJournal of human hypertension2026

Identification of potential causal-genes-relevant blood pressure: a mitochondria-related genome-wide Mendelian randomization study.

Hongrui Zhang, Xiaoyang Li, Yichen Liu, Zhuoshuai Liang, Ruofei Li, Wenhui Gao, Bo Wang, Yuchen Zhang, Yuyang Tian, Xinmeng Hu and 9 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of human hypertension, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Functional Diversity and Emerging Roles of Human NME/NDPK Group II Proteins.International journal of molecular sciences · 2026
    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

19 authors.

Hongrui ZhangDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Xiaoyang LiDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Yichen LiuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Zhuoshuai LiangDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Ruofei LiDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Wenhui GaoDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Bo WangDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Yuchen ZhangDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Yuyang TianDepartment of Medical Administration, Xiuyan Manchu Autonomous County Health Bureau, Anshan, Liaoning Province, 114300, China.
Xinmeng HuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Huizhen JinDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Shuang QiuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Yong LiDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Yulu GuNHC Key Laboratory of Radiobiology, School of Public Health, Jilin University, Changchun, 130021, China.
Siyu LiuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China.
Yunkai LiuThe Cardiovascular Center, the First Hospital of Jilin University, Changchun, 130021, China.
Yi ChengThe Cardiovascular Center, the First Hospital of Jilin University, Changchun, 130021, China. chengyi@jlu.edu.cn.ORCID http://orcid.org/0000-0002-7352-3641
Jikang ShiDepartment of Clinical Nutrition, Peking University Shenzhen Hospital, Shenzhen PKU-HKUST Medical Center, Shenzhen, 518036, China. jkshi@pkuszh.com.ORCID http://orcid.org/0000-0002-4443-7445
Yawen LiuDepartment of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, 130021, China. ywliu@jlu.edu.cn.ORCID http://orcid.org/0000-0003-2859-4771

Funding

Department of Science and Technology of Jilin Province (Jilin Province Science and Technology Department) 20210101464JCNational Natural Science Foundation of China (National Science Foundation of China) 82373666
6 · The paper itself

Abstract

Hypertension (HTN) is a mitochondrial and metabolic disease. However, cause-effect connections between mitochondrial dysfunction and HTN remains uncharted. we focused on mitochondria-related genes, identifying potential causal-genes-relevant blood pressure (BP) using mitochondria-related genome-wide Mendelian randomization (MR). Through the summary statistics from cis-expression quantitative trait loci (cis-eQTL) datasets (human blood and artery), mitochondrial transcription factor A (TFAM), and genome-wide association studies (GWAS) datasets of BP indices (systolic blood pressure [SBP], diastolic blood pressure [DBP], pulse pressure [PP], and mean arterial pressure [MAP]) and HTN. we conducted a MR analysis to explore the potential causal relationship between mitochondrial-related genes and the BP indices, HTN. Sensitivity analysis and Bayesian colocalization were employed to validate this causal relationship. In aorta, HIBCH expression was negatively associated with SBP; OCIAD1 expression was positively associated with MAP. In tibial artery, HIBCH expression was negatively associated with SBP; OCIAD1 expression was positively associated with SBP, PP, and MAP; SLC25A37 was positively associated with MAP. In blood, LACTB expression was negatively associated with SBP, PP, and MAP; OCIAD1 expression was negatively associated with SBP and PP; and MTX1 expression was negatively associated with MAP. HARS2 expression was positively associated with SBP and PP; RAB24 and PRELID1 expression was positively associated with DBP; and NME6 expression was positively associated with SBP and DBP. In conclusion, the regulation of blood pressure correlates with mitochondria-related genes (HIBCH, SLC25A37 and OCIAD1 in artery; LACTB, OCIAD1, MTX1, HARS2, RAB24, PRELID1 and NME6 in blood). This study provides scientific evidence for specifically regulating BP phenotypes.

Indexed as

Blood PressureHypertensionMitochondriaGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisQuantitative Trait Loci

Identifiers

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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.