Evidence mapPaperPMID 40419532Full record

ArticleScientific reports2025

Identification of serum metabolic markers in non-obese hypertensive patients using non-targeted metabolomics.

Yifan Xu, Yilin Jiang, Jia Lu, Chen Xu, Qing Li, Hongjun Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Yifan Xu *Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine: Wuxi Hospital of Traditional Chinese Medicine, No.8 Zhong Nan Xi Road, Binhu District, Wuxi, 214000, China.
Yilin Jiang *Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine: Wuxi Hospital of Traditional Chinese Medicine, No.8 Zhong Nan Xi Road, Binhu District, Wuxi, 214000, China.
Jia Lu *Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine: Wuxi Hospital of Traditional Chinese Medicine, No.8 Zhong Nan Xi Road, Binhu District, Wuxi, 214000, China.
Chen XuWuxi Affiliated Hospital of Nanjing University of Chinese Medicine: Wuxi Hospital of Traditional Chinese Medicine, No.8 Zhong Nan Xi Road, Binhu District, Wuxi, 214000, China.
Qing LiWuxi Affiliated Hospital of Nanjing University of Chinese Medicine: Wuxi Hospital of Traditional Chinese Medicine, No.8 Zhong Nan Xi Road, Binhu District, Wuxi, 214000, China.
Hongjun ZhuWuxi Affiliated Hospital of Nanjing University of Chinese Medicine: Wuxi Hospital of Traditional Chinese Medicine, No.8 Zhong Nan Xi Road, Binhu District, Wuxi, 214000, China. wxzy004@njucm.edu.cn.

Funding

Jiangsu Province Traditional Chinese Medicine leading talent training project Su Zhong Yi Ke Jiao [2023] No. 17
6 · The paper itself

Abstract

The future of hypertension management lies in distinguishing disease subtypes for precise control. The underlying drivers and pathology of non-obese hypertension (J-HTN) remain unclear. There is a lack of biomarkers for the early identification of J-HTN. The aim of this study was to identify circulating metabolomic profiles that facilitate the early detection of J-HTN patients, thereby providing valuable insights for more targeted and precision-based therapies. A non-targeted metabolomics approach was used to quantify serum metabolites in 120 patients with newly diagnosed hypertension, and to determine the metabolomic characteristics of J-HTN and two types of obese hypertension (fat-dominant and muscle-dominant). 4 metabolites unique to J-HTN were identified, with lysophosphatidylcholine 22:6 (LysoPC(22:6/0:0)) standing out as the marker showing the most pronounced difference. Using the serum metabolome alone, we were able to distinguish J-HTN from other hypertensive patients. In a secondary validation with an independent cohort of 60 medically treated J-HTN patients, 3 metabolites, including LysoPC(22:6/0:0), remained significantly altered. The serum metabolic profiles identified in this study enable the early detection of J-HTN, with LysoPC(22:6/0:0) emerging as a highly promising biomarker. This metabolite may also correlate with the clinical efficacy of J-HTN treatments.

Indexed as

BiomarkersHypertensionMetabolomeMetabolomicsAdultAgedFemaleHumansMaleMiddle AgedObesityBiomarkersBiomarkerLysophosphatidylcholine 22:6 (LysoPC(22:6/0:0))MetabolomicsNon-obese hypertension

Identifiers

PMID40419532
PMCPMC12106809

What Socratic holds

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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 Socratic graph.