ArticleMetabolic brain disease2025
Neuroprotective effects of Yangming-Kaixin-Yizhi formula in Alzheimer's disease: dual regulation of PI3K/Akt and p38 MAPK signaling via network pharmacology and experimental approaches.
Article in Metabolic brain disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Elucidating the pharmacological mechanism of Yangming-Kaixin-Yizhi formula in inhibiting neuronal ferroptosis via Nrf2 in Alzheimer's disease: a study combining network pharmacology, transcriptomics, and experimental validation.Metabolic brain disease · 2026Article
- Roles of MAPKs, Including Those Activated by BDNF/TrkB, and Their Contribution in Neurodegenerative Diseases.International journal of molecular sciences · 2026Review
- Neuroprotective effects of Yangming-Kaixin-Yizhi formula in Alzheimer's disease: dual regulation of PI3K/Akt and p38 MAPK signaling via network pharmacology and experimental approaches.Metabolic brain disease · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a neurodegenerative disease characterized by progressive cognitive decline, the pathogenesis of Alzheimer's disease (AD) is still poorly understood, and there is no effective cure currently available. Traditional Chinese medicine (TCM) prescription Yangming-Kaixin-Yizhi formula (YKY) has been clinically applied for the treatment of memory loss related disorders for more than 300 years with remarkable efficacy, but its pharmacological mechanism remains unclear. This study aimed to investigate the therapeutic effects of YKY on AD and its molecular mechanisms. We evaluated YKY's ameliorative effects on the AD phenotype in 3xTg-AD mice using the Morris water maze, histopathological staining, and immunofluorescence assays. The major chemical components of YKY were identified by UPLC-QTOF-MS/MS. Network pharmacology was employed to analyze the molecular mechanisms of YKY in treating AD, followed by validation of its regulatory effects on key pathways through immunofluorescence experiments and molecular docking. The results showed that YKY could significantly improve learning and memory ability, neuronal loss, β-amyloid deposition and glial cell activation in 3xTg-AD mice. 48 chemical components were identified from YKY, and network pharmacology analysis of them showed that YKY may improve AD by regulating apoptosis, PI3K/Akt and MAPK pathways. Immunofluorescence and molecular docking results also confirmed the regulatory effect of YKY on key targets of apoptosis, PI3K/Akt and p38 MAPK pathways. In conclusion, by integrating animal experiments and network pharmacology, the present study revealed the mechanism of YKY in inhibiting neuronal apoptosis by regulating PI3K/Akt and p38 MAPK pathways, which providing modern scientific evidence for the traditional clinical application of YKY.
Indexed as
Identifiers
40879814What OpenQuestion holds
Registered trials
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.