Evidence map›Paper›PMID 37751044›Full record

ArticleMolecular neurobiology2024

Effects of Chaihu Shugan San on Brain Functional Network Connectivity in the Hippocampus of a Perimenopausal Depression Rat Model.

Ruiting Huang, Min Gong, Xue Tan, Jianying Shen, You Wu, Xiaoshi Cai, Suying Wang, Li Min, Lin Gong, Wenna Liang

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 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. Trial
  2. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
  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

10 authors.

Ruiting Huang *School of Traditional Chinese Medicine, Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, 1 Qiuyang Road, Fuzhou, 350122, People's Republic of China.
Min Gong *College of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, People's Republic of China.
Xue Tan *Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, People's Republic of China.
Jianying ShenSchool of Traditional Chinese Medicine, Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, 1 Qiuyang Road, Fuzhou, 350122, People's Republic of China.
You WuSchool of Traditional Chinese Medicine, Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, 1 Qiuyang Road, Fuzhou, 350122, People's Republic of China.
Xiaoshi CaiSchool of Traditional Chinese Medicine, Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, 1 Qiuyang Road, Fuzhou, 350122, People's Republic of China.
Suying WangSchool of Traditional Chinese Medicine, Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, 1 Qiuyang Road, Fuzhou, 350122, People's Republic of China.
Li MinSchool of Traditional Chinese Medicine, Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, 1 Qiuyang Road, Fuzhou, 350122, People's Republic of China.
Lin GongSchool of Traditional Chinese Medicine, Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, 1 Qiuyang Road, Fuzhou, 350122, People's Republic of China.
Wenna LiangSchool of Traditional Chinese Medicine, Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, 1 Qiuyang Road, Fuzhou, 350122, People's Republic of China. liangwenna1979@163.com.ORCID http://orcid.org/0009-0005-8716-380X

Funding

the National Natural Science Foundation of China 82174248the National Natural Science Foundation of China 82274409the Natural Science Foundation of Fujian Province 2023J01868
6 · The paper itself

Abstract

In this study, we used Chaihu Shugan San (CSS), a traditional Chinese herbal formula, as a probe to investigate the involvement of brain functional network connectivity and hippocampus energy metabolism in perimenopausal depression. A network pharmacology approach was performed to discover the underlying mechanisms of CSS in improving perimenopausal depression, which were verified in perimenopausal depression rat models. Network pharmacology analysis indicated that complex mechanisms of energy metabolism, neurotransmitter metabolism, inflammation, and hormone metabolic processes were closely associated with the anti-depressive effects of CSS. Thus, the serum concentrations of estradiol (E

Indexed as

DepressionPerimenopauseAnimalsBrainChromatography, LiquidDisease Models, AnimalFemaleHippocampusRatsSerotoninTandem Mass SpectrometrySerotoninChaihu Shugan SanHippocampusPerimenopausal depressionResting-state fMRITricarboxylic acid cycle

Identifiers

What OpenQuestion holds

Textmetadata
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.