Evidence map›Paper›PMID 38911515›Full record

ArticleFrontiers in cardiovascular medicine2024

Causal association between blood metabolites and risk of hypertension: a Mendelian randomization study.

Tao Cheng, Zhangjun Yun, Shaowei Fan, Huan Wang, Wenjing Xue, Xuesong Zhang, Bochao Jia, Yuanhui Hu

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Watercress (Life (Basel, Switzerland) · 2025
    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

8 authors.

Tao Cheng *Department of Cardiological Medicine, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China.
Zhangjun Yun *Clinical Medical College, Beijing University of Chinese Medicine, Beijing, China.
Shaowei Fan *Department of Cardiological Medicine, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China.
Huan WangDepartment of Cardiological Medicine, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China.
Wenjing XueDepartment of Cardiological Medicine, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China.
Xuesong ZhangDepartment of Cardiological Medicine, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China.
Bochao JiaDepartment of Cardiological Medicine, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China.
Yuanhui HuDepartment of Cardiological Medicine, China Academy of Chinese Medical Sciences Guang'anmen Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have indicated a strong link between blood metabolites and hypertension, however the causality of metabolites and hypertension is unknown. Methods: Two-sample Mendelian randomization (MR) analysis was performed to assess the causal relationship between 486 blood metabolites and essential hypertension (EHT). Blood metabolite GWAS data was utilized as the exposure, with EHT GWAS data as the outcome. To further verify the results, another different source of EHT GWAS data was repeatedly analyzed. The major MR analytic approach used to determine causality was inverse variance weighted (IVW), with MR-Egger, Weighted Median, and MR-PRESSO models serving as supplements. We used the Cochran Q test to examine heterogeneity. Horizontal pleiotropy was examined using MR-Egger intercept and MR-PRESSO global test. The MR Steiger test confirmed the causal relationship between blood metabolites and EHT. Results: In this study, nine blood metabolites associated with EHT were preliminarily identified by MR analysis, including four known metabolites (N-acetylornithine, X-12510-2-aminooctanoic acid, creatine, hexadecanedioate) and five unknown metabolites. Then another source of EHT GWAS data was repeatedly analyzed for further verification, and two overlapped metabolites (N-acetylornithine, X-12510-2-aminooctanoic acid) were found. There was a negative correlation between N-acetylornithine and EHT (OR = 0.987, 95% CI = 0.980-0.993, Conclusion: The study discovered some blood metabolites causally linked to EHT, which might lead to new understandings of the pathophysiology of hypertension.

Indexed as

causalityessential hypertensionmendelian randomizationmetabolitesN-acetylornithine

Identifiers

PMID38911515
PMCPMC11190327

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.