Evidence map›Paper›PMID 40950576›Full record

ArticleFrontiers in molecular biosciences2025

Toxicological analysis of metabolites in ischemic stroke based on salivary metabolomics.

Yan-Song Liu, Yu-Yan Long, Jie Liu, Yu-Chen Liu, Shuang Zhang, Yi-Jia Xu, Shu-Yue Fu, Hua Li, Wang-Hua Liu

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 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
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

9 authors.

Yan-Song LiuProvincial Key Laboratory of TCM Diagnostics, Hunan University of Chinese Medicine, Changsha, China.
Yu-Yan LongProvincial Key Laboratory of TCM Diagnostics, Hunan University of Chinese Medicine, Changsha, China.
Jie LiuKey Laboratory of TCM Heart and Lung Syndrome Differentiation & Medicated Diet and Dietotherapy, Changsha, China.
Yu-Chen LiuProvincial Key Laboratory of TCM Diagnostics, Hunan University of Chinese Medicine, Changsha, China.
Shuang ZhangThe First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
Yi-Jia XuThe First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China.
Shu-Yue FuProvincial Key Laboratory of TCM Diagnostics, Hunan University of Chinese Medicine, Changsha, China.
Hua LiProvincial Key Laboratory of TCM Diagnostics, Hunan University of Chinese Medicine, Changsha, China.
Wang-Hua LiuProvincial Key Laboratory of TCM Diagnostics, Hunan University of Chinese Medicine, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To elucidate the characteristic patterns of salivary metabolic network instability in IS patients, reveal the association mechanism between amino acid-lipid-nucleotide metabolic cascade imbalance and stroke progression, and provide experimental basis and translational pathway for the development of diagnostic and therapeutic strategies based on metabolic microenvironment regulation. Methods: This study focused on salivary metabolomics. A prospective cohort design (40 IS patients and 30 healthy controls) was combined with high-resolution liquid chromatography-mass spectrometry (LC-MS/MS) to systematically analyze the molecular characteristics and toxicological mechanisms of metabolic disorders in stroke. Orthogonal partial least squares discriminant analysis (OPLS-DA) and game theory feature weighting method were used to screen differential metabolites, and toxicity evaluation was performed by integrating ADMETlab and ProTox databases. Finally, molecular docking technology was used to verify the metabolite-target interaction network. Results: A total of 488 salivary metabolites were identified, of which 167 showed significant differences between groups, including 4.3-fold increase in arginine, 3.5-fold increase in xanthine, and 2.1-fold increase in lipoxin A4. Toxicity prediction showed that xanthine has potential neurotoxicity and blood-brain barrier penetration ability (BBB = 0.90). Its molecular docking with targets such as XDH and PNP showed stable binding energy, suggesting that it participates in the pathological process of stroke by regulating purine metabolism and oxidative stress. Conclusion: A panoramic analysis framework of salivary metabolomics in ischemic stroke was constructed, and the cascade disorder of the amino acid-lipid-nucleotide metabolic network was elucidated. The screened core metabolite markers and their regulatory pathways not only provide highly specific tools for early diagnosis of stroke, but also provide research basis for the development of innovative therapies based on metabolic microenvironment regulation.

Indexed as

biomarkersischemic strokemetabolic cascademetabolic toxicitysalivary metabolomicstoxicity prediction

Identifiers

PMID40950576
PMCPMC12425714

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.