Evidence map›Paper›PMID 40599314›Full record

ArticleiScience2025

Metabolomic and microbial insights: Kai-Xin-San's impact on Alzheimer's disease pathology.

Huifen Ma, Zhiyang Yu, Qiong Qiao, Wenpan Wang, Zhonghua Li, Pan Wang, Junying Song, Xiaowei Zhang, Yunfang Su, Yiran Sun and 2 more

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Efficacy and possible mechanism ofFrontiers in pharmacology · 2026
    Pooled it
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

12 authors.

Huifen MaCollaborative Innovation Center of Prevention and Treatment of Major Diseases by Chinese and Western Medicine, Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China.
Zhiyang YuAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China.
Qiong QiaoAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China.
Wenpan WangAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China.
Zhonghua LiCollaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Zhengzhou, Henan 450046, China.
Pan WangCollaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Zhengzhou, Henan 450046, China.
Junying SongCollaborative Innovation Center of Prevention and Treatment of Major Diseases by Chinese and Western Medicine, Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China.
Xiaowei ZhangCollaborative Innovation Center of Prevention and Treatment of Major Diseases by Chinese and Western Medicine, Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China.
Yunfang SuCollaborative Innovation Center of Prevention and Treatment of Major Diseases by Chinese and Western Medicine, Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China.
Yiran SunSchool of Pharmacy, Chengdu Medical College, Chengdu 610500, China.
Zhishen XieCollaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Zhengzhou, Henan 450046, China.
Zhenqiang ZhangCollaborative Innovation Center of Prevention and Treatment of Major Diseases by Chinese and Western Medicine, Henan University of Chinese Medicine, Zhengzhou, Henan 450046, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been increasing interest in the connection between AD, gut microbiota, and metabolites. Kai-Xin-San (KXS) has been commonly employed in ancient and modern Chinese clinical trials for the treatment of dementia; however, whether the protective effect of KXS in AD is related to the gut microbiota remains elusive. APP/PS1 mice were used as the model of AD. 43 key metabolites influenced by KXS were screened using untargeted metabolomics. At the genus level, Clostridium_IV, Eubacterium, Acetatifactor, etc., were identified to be impacted by KXS using 16S rRNA sequencing. Additionally, we identified 9 distinct intestinal floras at the genus level that were correlated with 13 pivotal differential metabolites related to cognitive impairment. KXS also inhibited the neuroinflammation, mostly via regulating the key metabolites. A potential relationship between gut microbiota, metabolites, and neuroinflammation is suggested as a protective mechanism of KXS in AD. These findings provide support for further development of KXS.

Indexed as

MetabolomicsMolecular neuroscience

Identifiers

PMID40599314
PMCPMC12209901

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.