Evidence map›Paper›PMID 40943539›Full record

ReviewInternational journal of molecular sciences2025

The Emerging Role of the Gut Microbiome in Cerebral Cavernous Malformation: A New Novel Therapeutic Strategy?

Hamidreza Sadegh, Jaesung P Choi

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Hamidreza SadeghCentre for Inflammation, Faculty of Science, School of Life Sciences, Centenary Institute and University of Technology Sydney, Sydney, NSW 2007, Australia.ORCID 0000-0003-2503-8737
Jaesung P ChoiCentre for Inflammation, Faculty of Science, School of Life Sciences, Centenary Institute and University of Technology Sydney, Sydney, NSW 2007, Australia.ORCID 0000-0002-0135-8632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral cavernous malformation (CCM) is a cluster of abnormal blood vessels in the brain that leads to severe neurological deficits, seizures, and fatal hemorrhagic stroke. Currently, there is no available drug treatment for CCM. Most CCMs are conservatively managed by observing change in appearance (MRI), recent hemorrhage, or any clinical symptoms. Neurosurgery is the only current treatment option, but it is only effective in a few cases. Since most CCM lesions are surgically inaccessible, when left untreated they lead to severe neurological deficits, seizures, and fatal hemorrhagic stroke. Hence, new non-invasive, safe, and effective treatment strategies are urgently needed. Recent research has identified gut microbiome dysbiosis and its innate immune response as the critical stimulus in experimental CCM pathogenesis, demonstrating the importance of the gut-brain axis in CCM. Importantly, CCM patients also manifest gut microbiome dysbiosis and gut barrier health can impact CCM disease course. This review highlights the emerging involvement of the gut microbiome in CCM pathogenesis and its potential as a therapeutic target. While preclinical data suggest mechanistic links, the lack of clinical intervention studies limits current applicability and underscores the need for translational research.

Indexed as

Gastrointestinal MicrobiomeHemangioma, Cavernous, Central Nervous SystemAnimalsDysbiosisHumansCCMcerebral cavernous malformationdietgut–brain axisgut microbiomeprebioticprobioticsynbiotic

Identifiers

PMID40943539
PMCPMC12429385

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.