Evidence map›Paper›PMID 41523755›Full record

Trial reportWorld journal of experimental medicine2025

Gas chromatography-mass spectrometry-based plasma metabolomics analysis in hypertensive patients with Yin deficiency and Yang hyperactivity syndrome.

Dinala Jialiken, Jing Dai, Ya-Dong Fan, Hai-Tao Zhang, Jin-Jun Shan, Wei-Chen Xu, Chong Zou

Abstract readClinical Trial
In one paragraph

Trial report in World journal of experimental medicine, 2025. 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. 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

7 authors.

Dinala JialikenDepartment of Cardiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210004, Jiangsu Province, China.
Jing DaiDepartment of Cardiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210004, Jiangsu Province, China.
Ya-Dong FanDepartment of Cardiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210004, Jiangsu Province, China.
Hai-Tao ZhangDepartment of Cardiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210004, Jiangsu Province, China.
Jin-Jun ShanCollege of Traditional Chinese Medicine, Nanjing University of Traditional Chinese Medicine, Nanjing 210004, Jiangsu Province, China.
Wei-Chen XuCollege of Traditional Chinese Medicine, Nanjing University of Traditional Chinese Medicine, Nanjing 210004, Jiangsu Province, China.
Chong ZouDepartment of GCP Research Center, Jiangsu Province Hospital of Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210004, Jiangsu Province, China. yfy105@njucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension is a significant global health concern and serves as a critical risk factor for cardiovascular diseases, stroke, and renal failure. Traditional Chinese Medicine (TCM) has been utilized for an extended period to address hypertension, with the syndrome known as Yin deficiency and Yang hyperactivity syndrome (YDYHS) frequently observed in individuals with elevated blood pressure. This syndrome is characterized by symptoms including dizziness, tinnitus, irritability, and insomnia, which are thought to result from an imbalance between Yin, representing the cooling and nourishing aspects, and Yang, denoting the active and warming aspects of the body. Despite the prevalent application of TCM in clinical settings, the metabolic mechanisms underlying the YDYHS in the context of hypertension remain inadequately elucidated.

aimTo explore the differential plasma metabolites and associated pathways in hypertensive patients with YDYHS using gas chromatography-mass spectrometry (GC-MS) to elucidate the distinctive blood metabolite pattern in this patient population.

methodsGC-MS was used to analyze plasma samples from 51 hypertensive patients with YDYHS and 20 healthy controls. Chemometric methods, including principal component analysis and partial least squares discriminant analysis, were employed to identify potential biochemical patterns. Simultaneously, the high-quality Kyoto Encyclopedia of Genes and Genomes metabolic pathways database was used to identify associated metabolic pathways. Using variable importance in projection and receiver operating characteristic curve analyses, potential biomarkers were extracted to assess their clinical utility.

resultsMetabolomic profiling of hypertensive patients with YDYHS identified 20 potential biomarkers (4-hydroxybenzoic acid, pectin, 1,2,3-trihydroxybenzene, D-ribose, 3-hydroxybutyric acid, quinic acid, L-lysine, oleic acid, 2-hydroxybutyric acid, linoleic acid, citric acid, alpha-tocopherol, D-glucuronic acid, glycerol, N-acetyl-L-aspartic acid, beta-mannosylglycerate, indolelactic acid, L-glutamic acid, D-maltose, L-aspartic acid) and four metabolic pathways (linoleic acid metabolism; alanine, aspartate and glutamate metabolism; D-glutamine and D-glutamate metabolism; arginine biosynthesis). The identified differential metabolites may serve as potential biomarkers for distinguishing hypertensive patients with YDYHS from healthy controls. The area under the curve values ranged from 0.750 to 0.866. Receiver operating characteristic curve analysis showed that these differential metabolites can effectively classify hypertensive patients with YDYHS and healthy individuals.

conclusionThe metabolomic analysis revealed a distinct blood metabolite pattern in hypertensive patients with YDYHS compared to the healthy control group, highlighting the potential role of the identified 20 biomarkers and four metabolic pathways in these patients. These findings may serve as an important material basis for understanding the occurrence and development of the disease, providing a scientific foundation for future clinical diagnosis.

Indexed as

Gas chromatography-mass spectrometryHypertensionMetabolomicsSyndrome differentiationYin deficiency and Yang hyperactivity syndrome

Identifiers

PMID41523755
PMCPMC12781695

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.