Evidence map›Paper›PMID 40475967›Full record

SynthesisFrontiers in medicine2025

Mapping arterial stiffness metabolic biomarkers: a bibliometric analysis.

Bangwei Chen, Kent Frederick Wirawan, Li Luo, Jianguo Zhang, Tao Li

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Bangwei ChenBGI Genomics, Shenzhen, China.
Kent Frederick WirawanBGI Genomics, Shenzhen, China.
Li LuoBGI Genomics, Shenzhen, China.
Jianguo ZhangBGI Genomics, Shenzhen, China.
Tao LiBGI Genomics, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolomics enables systematic quantification of small-molecule dynamics underlying cardiovascular pathophysiology, offering mechanistic insights into arterial stiffness. This study aimed to identify the scientific output related to metabolome in arterial stiffness. Methods: This study conducted a bibliometric analysis of publications (2000-March 2025) indexed in the Web of Science Core Collection using VOSviewer and Bibliometrix. Analyses spanned country/institution contributions, authorship networks, journal impact, and keyword/abstract trends. Results: A total of 1,654 original and review papers in English published in 550 different journals by 1,566 institutions were found. Over the past two decades, there has been a significant increase in the number of publications, with seminal work by Maksim et al. demonstrating metabolite associations with arterial stiffness, particularly oxidized low-density lipoprotein. The United States led with 246 articles (14.9%), followed by China (209, 12.6%) and Japan (134, 8.1%). Keyword analysis revealed saturation in advanced vascular aging research (elderly populations, hypertension, stroke), while early vascular aging studies-particularly in youth people-remained underrepresented. A frequency analysis of abstract words identified uric acid, eicosapentaenoic acid, and bile acids as potential metabolic biomarkers. Text-mining identified uric acid, fatty acids and bile acids as priority biomarkers, with unsaturated fatty acids (e.g., eicosapentaenoic acid, arachidonic acid) dominating mechanistic investigations. Conclusion: This first bibliometric profile of arterial stiffness metabolomics highlights fatty acid metabolism as a mature focus, contrasted by emerging opportunities in bile acid and gut microbiota-derived metabolite research. Bridging gaps in early vascular aging cohorts and understudied microbial-host metabolic pathways may unlock novel therapeutic strategies for vascular rejuvenation.

Indexed as

arterial stiffnessbibliometric studybiomarkersfatty acidsmetabolomeuric acid

Identifiers

PMID40475967
PMCPMC12138903

What Socratic 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 Socratic graph.