Evidence map›Paper›PMID 39607566›Full record

SynthesisMetabolic brain disease2024

Blood-based microRNAs as the potential biomarkers for Alzheimer's disease: evidence from a systematic review.

Fateme Fattahi, Mohammad Reza Asadi, Samin Abed, Ghazal Kouchakali, Masoumeh Kazemi, Sima Mansoori Derakhshan, Mahmoud Shekari Khaniani

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Metabolic brain disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

7 authors.

Fateme FattahiDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID 0009-0009-2680-1424
Mohammad Reza AsadiDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID 0000-0002-7055-9550
Samin AbedDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Ghazal KouchakaliDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Masoumeh KazemiDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sima Mansoori DerakhshanDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID 0000-0003-3398-941X
Mahmoud Shekari KhanianiDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran. mahmoud.khaniani@gmail.com.ORCID 0000-0003-4660-0530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder that progresses over time and is identified by the development of neurofibrillary tangles and amyloid deposits in the brain. Mounting evidence has revealed that microRNAs (miRNAs) are significantly involved in AD progression, and may be used as promising biomarkers for diagnosis and prognosis. Nevertheless, the existing body of data regarding dysregulated circulating miRNAs in AD and their therapeutic applications are characterized by a lack of consistency. A comprehensive search was performed across various databases (PubMed, EMBASE, Web of Science, Scopus, Google Scholar, Cochrane, and ProQuest), starting from its inception and ending in January 2023. The criteria for inclusion consisted of original research studies written in English, which utilized Real-Time PCR to analyze miRNA expression in the blood, serum, or plasma of AD patients and healthy controls. The extracted data included the miRNA(s) investigated, dysregulation status, study type, human sample(s), and major findings. The search produced 608 records, which after careful examination, resulted in 48 suitable articles for data extraction. The research revealed a wide range of sample types used, with whole blood (39.59%) and serum (27.09%, including serum-exosome at 4.17%) emerging as the most prominent. The compiled dataset featured 4001 AD patients and 3886 healthy controls, revealing intricate regulatory patterns among 83 up-regulated (35.78%), 66 down-regulated (28.44%), and 83 not significantly altered (35.78%) miRNAs. Our results demonstrated that specific circulating miRNAs are consistently dysregulated in AD and could serve as non-intrusive biomarkers for the identification, prognosis, and prediction of cognitive decline. Further large-scale prospective studies are required to validate their clinical applications.

Indexed as

Alzheimer DiseaseBiomarkersMicroRNAsHumansBiomarkersMicroRNAsAlzheimer's diseaseBlood biomarkersDiagnosisMicroRNAsNon-invasive testingSystematic review

Identifiers

PMID39607566

What OpenQuestion holds

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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.