Evidence map›Paper›PMID 40418688›Full record

ArticleBrain and behavior2025

MicroRNA Signatures Predict Brain Amyloidosis and Neurodegeneration in Alzheimer's Disease: Insights from [

Parsa Saberian, Afra Darvishi, Delnia Khezragha, Moojan Forouzandegan, Mohammad-Erfan Farhadieh, Shaghayegh Taghizadeh Khorshidi, Mohamad Hatami Nejad, Sara Sedighi, Reza Barati, Seyed Ahmad Reza Safavi and 4 more

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

14 authors.

Parsa SaberianStudent Research Committee, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Afra DarvishiStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0009-0005-0584-8750
Delnia KhezraghaFaculty of Science, University of Tabriz, Tabriz, Iran.
Moojan ForouzandeganStudents' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad-Erfan FarhadiehDepartment of Cell and Molecular Biology and Microbiology, Faculty of Biological Sciences and Technology, University of Isfahan, Isfahan, Iran.
Shaghayegh Taghizadeh KhorshidiInstitute for Cognitive Science Studies, Pardis, Iran.
Mohamad Hatami NejadDepartment of Psychology, Faculty of Psychology and Educational Sciences, University of Tehran, Tehran, Iran.ORCID https://orcid.org/0000-0001-9655-0434
Sara SedighiDepartment of Psychology, Faculty of Psychology and Educational Sciences, University of Tehran, Tehran, Iran.
Reza BaratiSchool of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Seyed Ahmad Reza SafaviPoursina Clinical Research Development Unit, Guilan University of Medical Sciences, Rasht, Iran.
Mohammad SadeghiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
David GulisashviliDepartment of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Mahsa MayeliSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-4656-156X
Shayan ShakeriDepartment of Medical Genetics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0009-0005-7336-1522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlzheimer's disease (AD) is a neurodegenerative disease primarily manifesting with cognitive decline. This study aimed to investigate the alterations in microRNAs in patients across AD continuum as potential biomarkers.

methodData were extracted from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, including microRNA levels in the serum and cerebrospinal fluid (CSF) of patients across AD continuum. We analyzed the associations between microRNA levels and previously known AD biomarkers, such as amyloid beta (Aβ) accumulations in the brain and glucose reuptake values using positron emission tomography ([

findingsThe study found a significant positive correlation between CSF levels of miR-210-3p and Aβ accumulations in the brain (B = 4.69). Conversely, miR-223-3p levels were significantly lower in APOE-ε4 carriers. Significant negative correlations were also observed between glucose reuptake and several miRNAs in the AD group. Specifically, plasma levels of let-7g-5p, mir-423-5p, and mir-660-5p were negatively associated with glucose reuptake in the brain.

conclusionElevated levels of miR-210-3p correlate with Aβ accumulation, supporting previous findings of increased levels of certain microRNAs in patients with MCI and AD. Our findings highlight the potential of microRNAs as biomarkers of AD.

Indexed as

Alzheimer DiseaseAmyloidosisMicroRNAsAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersBrainCognitive DysfunctionFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedPositron-Emission TomographyAmyloid beta-PeptidesBiomarkersFluorodeoxyglucose F18MicroRNAsAlzheimer's diseaseAPOE ε4beta amyloidbiomarkercerebrospinal fluidFDG‐PETmiRNAneurodegeneration

Identifiers

PMID40418688
PMCPMC12105656

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Registered trials

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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.