Evidence mapPaperPMID 42538765Full record

ReviewBioMed research international2026

Metabolomic Discoveries for Traditional Chinese Medicine Efficacy in Alzheimer's Disease.

Huimin Sun, Dongxuan Huang, Fang Yang, Pengfei Zhang, Dexin Yang, Changchun Zeng

Abstract readReview
In one paragraph

Review in BioMed research international, 2026. 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

6 authors.

Huimin SunDepartment of Medical Laboratory, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China, glyy.org.ORCID https://orcid.org/0000-0001-6464-3011
Dongxuan HuangDepartment of Respiratory Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China, glyy.org.
Fang YangDepartment of Nephrology, Shenzhen Longhua District Central Hospital, Shenzhen Longhua District Key Laboratory for Diagnosis and Treatment of Chronic Kidney Disease, Shenzhen, Guangdong, China, glyy.org.
Pengfei ZhangDepartment of Medical Laboratory, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China, glyy.org.ORCID https://orcid.org/0000-0002-7109-1419
Dexin YangDepartment of Medical Laboratory, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China, glyy.org.
Changchun ZengDepartment of Medical Laboratory, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China, glyy.org.ORCID https://orcid.org/0000-0002-9489-0627

Funding

Scientific Research Projects of Medical and Health Institutions of Longhua District, Shenzhen 2023008The National Natural Science Foundation of China 82270940
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory impairment, and behavioral alterations. However, the complex etiology and pathogenesis of AD have thus far precluded the development of satisfactory therapeutic agents. Traditional Chinese medicine (TCM) has garnered increasing recognition for its potential in AD management due to its multicomponent, multitarget therapeutic strategy. Metabolomics, an advanced analytical methodology for investigating metabolic alterations in biological systems, has yielded significant insights into both the therapeutic efficacy and mechanistic underpinnings of TCM interventions for AD. This review synthesizes recent metabolomic findings associated with TCM approaches to AD treatment, identifying key metabolic pathways across diverse biological specimens, including brain tissue, blood, urine, and feces. Through systematic elucidation of these metabolic networks, metabolomics offers substantial potential to facilitate the advancement of TCM-derived therapeutics for AD, potentially enhancing global patient outcomes.

Indexed as

Alzheimer DiseaseDrugs, Chinese HerbalMedicine, Chinese TraditionalMetabolomicsAnimalsBrainHumansMetabolic Networks and PathwaysDrugs, Chinese HerbalAlzheimer′s disease (AD)LC-MSmetabolic pathwaymetabolomictraditional Chinese medicine (TCM)

Identifiers

PMID42538765
PMCPMC13428180

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.