Evidence map›Paper›PMID 42250142›Full record

SynthesisMolecular biology reports2026

Molecular interplay between Non-coding RNAs and BDNF in Neurodegenerative Disorders: a systematic review.

Abbas Jalaiei, Amir Hossein Kiani Darabi, Ehsan Sakkaki, Maryam Rezazadeh, Soudeh Ghafouri-Fard

Abstract readSystematic ReviewReview
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In one paragraph

Synthesis in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
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

The trial behind it

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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

5 authors.

Abbas JalaieiDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Amir Hossein Kiani DarabiDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Ehsan SakkakiDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Maryam RezazadehDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran. rezazadeh.mary@gmail.com.
Soudeh Ghafouri-FardDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran. s.ghafourifard@sbmu.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain-derived neurotrophic factor (BDNF), a member of the neurotrophin family, plays essential roles in nervous system development, neuronal maintenance, and neurogenesis. Aberrant BDNF concentrations, observed both peripherally and within the central nervous system (CNS), have been consistently implicated in the pathogenesis of a spectrum of neurodegenerative disorders (NDDs), including Alzheimer's disease, Parkinson's disease, Amyotrophic lateral sclerosis, Huntington's disease, and Multiple sclerosis. Non-coding RNAs (ncRNAs), such as microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), regulate gene expression and are critical factors in cellular processes relevant to neurodegenerative disease pathobiology. Consequently, ncRNAs are posited as promising biomarkers and potential therapeutic modalities for CNS-related pathologies. However, robust empirical evidence substantiating ncRNA-mediated, post-transcriptional regulation of BDNF expression in the context of neurodegeneration remains relatively scarce. The objective of this systematic review is to provide a critical synthesis of the current literature on the diagnostic and prognostic utility of ncRNAs that modulate BDNF expression, specifically within the scope of neurodegenerative disorders. Furthermore, we will explore innovative therapeutic strategies centered on targeting BDNF-associated miRNAs for the treatment of these disorders.

Indexed as

Brain-Derived Neurotrophic FactorNeurodegenerative DiseasesRNA, UntranslatedAnimalsGene Expression RegulationHumansMicroRNAsRNA, Long NoncodingBDNF protein, humanBrain-Derived Neurotrophic FactorMicroRNAsRNA, Long NoncodingRNA, UntranslatedBDNFCNSNcRNAsNeurodegenerative disorder

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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.