Evidence mapPaperPMID 41423583Full record

ReviewMolecular neurobiology2025

Unraveling the Significance of Fecal MicroRNA Profile in Alzheimer's Disease.

Kavisha Katuwawala, Prashant Bharadwaj, Ian Martins, B G D N K De Silva, Vincent Ho, Asiri Dissanayake, Ralph N Martins, W M A D Binosha Fernando

Abstract readReview
In one paragraph

Review in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Kavisha KatuwawalaCentre of Excellence for Alzheimer's Disease Research & Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia.
Prashant BharadwajCentre of Excellence for Alzheimer's Disease Research & Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia.
Ian MartinsCentre of Excellence for Alzheimer's Disease Research & Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia.
B G D N K De SilvaGenetics and Molecular Biology Unit, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, 10250, Sri Lanka.
Vincent HoSchool of Medicine, Western Sydney University, Penrith, NSW, 2751, Australia.
Asiri DissanayakePrabhodha Hospitals Pvt Ltd., Ampara, 32000, Sri Lanka.
Ralph N MartinsCentre of Excellence for Alzheimer's Disease Research & Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia.
W M A D Binosha FernandoCentre of Excellence for Alzheimer's Disease Research & Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, 6027, Australia. w.fernando@ecu.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD), a complex neurodegenerative disorder characterised by progressive cognitive decline, affects millions globally. With no current cure, treatment focuses on symptom management and slowing disease progression. Early identification is therefore crucial. Fecal microRNA (miRNA) analysis is emerging as a promising non-invasive diagnostic tool. Evidence suggests that miRNAs present in fecal samples may regulate gene expression linked to AD pathology, impacting cellular functions and disease progression. Dietary factors critically influence gut microbiota composition and diversity, affecting brain health via the gut brain axis. Macronutrients such as carbohydrates, proteins, and fats modulate miRNA expression and gut microbiota, influencing AD risk. High-fat diets can increase inflammation and contribute to AD. This review aims to provide a comprehensive overview of how diet-modulated fecal miRNAs and gut microbiota interplay may serve as novel, non-invasive indicators for early detection and intervention strategies in AD.

Indexed as

Alzheimer DiseaseFecesMicroRNAsAnimalsGastrointestinal MicrobiomeHumansMicroRNAsAlzheimer’s disease (AD)Gut–brain axisGut microbiotaMicroRNAs (miRNAs)

Identifiers

PMID41423583
PMCPMC12719353

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.