Evidence map›Paper›PMID 42880920›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2026

[Correlation between trimethylamine-N-oxide and cardiovascular metabolic markers].

Hanyu Zhang, Hexiang Peng, Huangda Guo, Tianjiao Hou, Yixin Li, Yi Zheng, Yinxi Tan, Xinyao Ye, Haodong Zhang, Huan Yu and 9 more

Abstract readEnglish Abstract
PubMed Full text at PMC
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 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

The trial behind it

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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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hanyu ZhangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Hexiang PengDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Huangda GuoDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Tianjiao HouDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Yixin LiDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.
Yi ZhengDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.
Yinxi TanDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.
Xinyao YeDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Haodong ZhangDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.
Huan YuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Xueheng WangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Meng FanDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Yiqun WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Xueying QinDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Jing LiDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Dafang ChenDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Yonghua HuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Tao WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Mengying WangDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the correlation between serum trimethylamine-N-oxide (TMAO) levels and cardiovascular metabolic biomarkers, so as to provide a basis for clarifying the impact of TMAO on cardiovascular metabolic disease.

methodsBased on baseline data from the Beijing Fangshan Family Cohort collected from 2013 to 2017, totally 500 participants from 173 families were selected from the survey subjects. Serum TMAO concentrations were measured using enzyme-linked immunosorbent assay kits. The correlation between TMAO and cardiovascular and metabolic disease indicators was analyzed by a linear mixed effects model.

resultsThe mean age of the participants was (56.52±12.52) years, with 54.20% being male. Serum TMAO levels showed significant positive correlations with systolic blood pressure (SBP) and pulse pressure (PP). Each 1 μmol/L increase in TMAO was associated with a 0.74 mmHg increase in SBP (95%

conclusionThe current study found that high TMAO level was correlated with the increase of SBP and PP, and TMAO might be an influencing factor of blood pressure level. No statistically significant correlation was found between TMAO and blood glucose and lipid indicators.

Indexed as

Cardiovascular DiseasesMethylaminesAdultAgedBiomarkersBlood PressureFemaleHumansMaleMiddle AgedBiomarkersMethylaminestrimethyloxamineBlood pressureCardiovascular metabolic markersTrimethylamine-N-oxide

Identifiers

PMID42880920
PMCPMC13672094

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