Evidence map›Paper›PMID 42465547›Full record

ArticleFrontiers in neurology

Blood-activating, depression-relieving formula alleviates post-stroke depression: mechanistic insights from network pharmacology and microglial validation.

Na Zhao, Lumi Zhang, Wei Li, Yiru Wang, Zhengyu Zhu, Zhimin Wu

Abstract read
In one paragraph

Article in Frontiers in neurology. 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
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0citing papers in PubMed
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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

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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

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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

6 authors.

Na ZhaoDepartment of Neurology, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Lumi ZhangDepartment of Neurology, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Wei LiDepartment of Neurology, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Yiru WangDepartment of Neurology, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Zhengyu ZhuDepartment of Neurology, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Zhejiang, China.
Zhimin WuDepartment of Neurology, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Post-stroke depression (PSD) is common and disabling, yet mechanism-based, multi-target therapies that jointly curb neuroinflammation and support cell survival are scarce. We evaluated a Blood-Activating, Depression-Relieving (BADR) herbal formula for effects on PSD-relevant molecular hubs and microglial phenotypes. Methods: BADR constituents from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform were standardised and mapped to human protein targets. Target-disease interaction networks were assembled in Search Tool for the Retrieval of Interacting Genes/Proteins, clustered with Molecular Complex Detection, and functionally annotated via Kyoto Encyclopedia of Genes and Genomes Orthology-Based Annotation System (KEGG/GO). For experimental validation, BV2 microglia were activated with lipopolysaccharide (LPS; 24 h) and co-treated with BADR within a pre-established non-cytotoxic range; dexamethasone (1 μM) served as comparator. Outcomes included cytokines (IL-1β, TNF- Results: Network analysis highlighted two dense modules enriched for PI3K-AKT, JAK-STAT, and neuroactive-ligand signaling. Hubs included EGFR, AKT1, STAT3, JUN, PIK3CA, and BCL2, with EGFR, STAT3, PIK3CA, JUN, and BCL2 prioritised for cellular validation based on topology, pathway relevance, and compound-target connectivity. In BV2 cells, BADR attenuated LPS-induced IL-1β, TNF- Conclusion: By converging network-level predictions with microglial phenotyping, the formula exerts coordinated anti-inflammatory and pro-survival effects centred on the EGFR-STAT3-PI3K nodes in a PSD-relevant context. These data provide a mechanistic rationale for further phosphorylation-level and

Indexed as

EGFR-STAT3microglianetwork pharmacologyPi3k-aktpost-stroke depressiontraditional Chinese medicine

Identifiers

PMID42465547
PMCPMC13372893

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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.