Evidence map›Paper›PMID 41323994›Full record

ArticleFrontiers in nutrition2025

Screening of antidepressant effective active components of

Li Li, Jun-Jie Gao, Min Yan, Li Guan, Ming-Ming Qin, Kai Ye, Tao Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Li Li *Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Jun-Jie Gao *Department of Clinical Laboratory, The Second Affiliated Hospital of Wannan Medical College, Wuhu, China.
Min YanDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Li GuanDepartment of Hepatology, Wuhu Third People's Hospital, Wuhu, China.
Ming-Ming QinDepartment of Clinical Laboratory, The Second Affiliated Hospital of Wannan Medical College, Wuhu, China.
Kai YeDepartment of Clinical Laboratory, The Second Affiliated Hospital of Wannan Medical College, Wuhu, China.
Tao LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is a prevalent mental disorder, with its incidence rising alongside the increasing pressures of modern social life. Although medications remain a cornerstone of treatment, first-line antidepressants are often associated with significant side effects. Methods: This study employed an integrated approach combining network pharmacology, transcriptomics, and machine learning to explore the mechanisms of Results: We identified eight signature genes related to both Conclusion:

Indexed as

depressionmachine learningnetwork pharmacologyneuroprotectionPueraria

Identifiers

PMID41323994
PMCPMC12661168

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.