Evidence map›Paper›PMID 39669488›Full record

ArticleHeliyon2024

Integrated network pharmacology and brain metabolomics to analyze the mechanism of Dihuang Yinzi intervention in Alzheimer's disease.

Jian Zhang, Quan Li, Bowen Yan, Qi Wang, Yanyan Zhou

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

5 authors.

Jian ZhangSchool of Basic Medicine, Heilongjiang University Of Chinese Medicine, Harbin, 150040, China.
Quan LiSchool of Basic Medicine, Heilongjiang University Of Chinese Medicine, Harbin, 150040, China.
Bowen YanSchool of Basic Medicine, Heilongjiang University Of Chinese Medicine, Harbin, 150040, China.
Qi WangSchool of Basic Medicine, Heilongjiang University Of Chinese Medicine, Harbin, 150040, China.
Yanyan ZhouSchool of Basic Medicine, Heilongjiang University Of Chinese Medicine, Harbin, 150040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ethnopharmacological relevance: Alzheimer's disease (AD) is an incurable neurodegenerative disease that has become one of the most important diseases threatening global public health security. Dihuang Yinzi (DHYZ) is a traditional Chinese medicine that has been widely used for the treatment of AD and has significant therapeutic effects, but its specific mechanism of action is still unclear.The aim of the study is to investigate the specific mechanism of DHYZ in treating AD based on brain metabolomics and network pharmacology. Materials and methods: In this study, the classic APPswe/PS1E9 (APP/PS1) mice were selected as the AD animal model, and the mechanism of DHYZ was studied. The learning and memory ability of mice was detected by Y-maze test, and the ultrastructure of neural cells in the brain of the mice was observed by transmission electron microscope (TEM). Then, the mechanism of DHYZ intervention in AD was analyzed by constructing network pharmacology, and combined with brain metabolomics based on ultra performance liquid chromatography-mass spectrometry (UPLC-MS) to detect differential metabolic markers and their metabolic pathways. In addition, a joint analysis of differential metabolites and potential targets for DHYZ treatment of AD is conducted to deeply explore the relationship between key targets, differential metabolites, and metabolic pathways. Results: After 30 days of DHYZ treatment, the spatial work and reference memory ability of APP/PS1 mice were significantly improved, the structure of mitochondria and synapses in the neurons of the brain were basically normal. 202 potential targets for DHYZ treatment of AD were screened through network pharmacology, and after enrichment analysis, these targets showed correlation with redox reactions, mitochondrial and synaptic functional pathways. And 7 differential metabolites were identified in brain metabolomics are Nicotinic acid, N-Formyl-L-glutamic acid, 5-(2-Hydroxyethyl)-4-methylthiazole, D-Gulono-1,4-lactone, Norepinephrine, 3-Methylotrophicacid, Palmitic acid. These differential metabolites mainly involve nicotinite and nicotinamide metabolism, pertussis, cAMP signaling pathway, cysteine and methionine metabolism. Notablely, through matching analysis of targets and metabolites, a total of 20 genes were found to match Nicotinic acid, 51 genes were found to match norepinephrine, and 14 genes intersected with the two metabolites, enrichment analysis of the intersected genes showed that neuroactive light receptor interaction, serotonergic synapse, and cAMP signaling were significantly affected, which is consistent with previous network pharmacology results. Conclusion: This study identified the main chemical ingredients of DHYZ intervention in AD may originated from

Indexed as

Alzheimer's diseaseBrain metabolomicscAMP signaling pathwayDihuang YinziNetwork pharmacologyNicotinate and nicotinamide metabolism

Identifiers

PMID39669488
PMCPMC11636838

What OpenQuestion 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 OpenQuestion graph.