Evidence map›Paper›PMID 41427008›Full record

ReviewNeuropsychiatric disease and treatment2025

Research Advances in Multimodal Framework-Based Identification and Therapeutic Management of Post-Stroke Depression via the Microbiota-Gut-Brain Axis.

Mengyue Shen, Penglong Yu, Qian Xiong, Zhongli Sun, Yunhui Zhang, Menglin Yang

Abstract readReview
In one paragraph

Review in Neuropsychiatric disease and treatment, 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

6 authors.

Mengyue ShenDepartment of Traditional Chinese Medicine, Chongqing Three Gorges Medical College, Chongqing, People's Republic of China.ORCID 0009-0004-4821-2624
Penglong YuDepartment of Traditional Chinese Medicine, Chongqing Three Gorges Medical College, Chongqing, People's Republic of China.
Qian XiongDepartment of Traditional Chinese Medicine, Chongqing Three Gorges Medical College, Chongqing, People's Republic of China.
Zhongli SunDepartment of Traditional Chinese Medicine, Chongqing Three Gorges Medical College, Chongqing, People's Republic of China.
Yunhui ZhangDepartment of Traditional Chinese Medicine, Chongqing Three Gorges Medical College, Chongqing, People's Republic of China.
Menglin YangDepartment of Traditional Chinese Medicine, Chongqing Three Gorges Medical College, Chongqing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with post-stroke depression typically present with psychosocial impairments, including depressed mood and pessimism, accompanied by behavioral manifestations such as social withdrawal. These symptoms significantly impede rehabilitation compliance while elevating risks of self-harm and suicidal ideation. Recent advances in microbiota-gut-brain axis research have elucidated bidirectional communication pathways between the gut microbiota-mediated neuroendocrine-immune network and the central nervous system. Dysregulation of microbiota-gut-brain axis homeostasis may precipitate neuroinflammatory cascades and NE metabolic disturbances, potentially driving post-stroke depression pathogenesis. This paper attempts to propose a multimodal precision diagnosis and treatment framework for post-stroke depression based on the microbiota-gut-brain axis mechanism, representing the first effort to integrate perspectives from neurobiology, gut microbiota, and Traditional Chinese Medicine with modern scientific interpretation to construct such a framework. The paper encompasses four levels: mechanism, integration, evidence, and application. At the mechanism level, it explores the bidirectional regulatory mechanisms of the microbiota-gut-brain axis in post-stroke depression to identify potential therapeutic targets. At the integration level, it refines core principles for constructing a multimodal system applicable to post-stroke depression and builds an microbiota-gut-brain axis based multimodal research framework for post-stroke depression. At the evidence level, by integrating neuroimaging, metabolomics, and microbiomics technologies, it discusses the potential of a multimodal identification system, which is expected to aid in identifying molecular-cellular-circuit mechanisms associated with post-stroke depression. At the application level, it reviews research progress in treating post-stroke depression using the central nervous system interventions, gut microbiota modulation, pharmaceuticals, complementary medicine, and lifestyle interventions, summarizing them into multimodal interventional strategies to inform clinical practice for comprehensive treatment. By incorporating the roles of gut microbiota and oxidative stress in stroke-related complications and neuroimmune pathologies, this review offers a more comprehensive theoretical basis for the precise treatment of post-stroke depression. Future research should rely on large-scale cohorts and artificial intelligence to clarify the dynamic interactive networks of multiple biomarkers within critical time windows, ultimately facilitating the translation of this multimodal framework from theory to clinical practice.

Indexed as

identificationinterventionmicrobiota-gut-brain axismultimodal systempost-stroke depression

Identifiers

PMID41427008
PMCPMC12717859

What Socratic 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 Socratic graph.