Evidence map›Paper›PMID 38511059›Full record

ArticleNon-coding RNA research2024

Systematic review and meta-analysis of dysregulated microRNAs derived from liquid biopsies as biomarkers for amyotrophic lateral sclerosis.

Hemerson Casado Gama, Mariana A Amorós, Mykaella Andrade de Araújo, Congzhou M Sha, Mirella P S Vieira, Rayssa G D Torres, Gabriela F Souza, Janaína A Junkes, Nikolay V Dokholyan, Daniel Leite Góes Gitaí and 1 more

Open access · goldAbstract read
In one paragraph

Article in Non-coding RNA research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
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

11 authors at 4 institutions in 2 countries.

Hemerson Casado GamaLaboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil.
Mariana A AmorósLaboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil.
Mykaella Andrade de AraújoDepartment of Cellular and Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil.
Congzhou M ShaDepartment of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, PA, 17033, United States.
Mirella P S VieiraLaboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil.
Rayssa G D TorresLaboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil.
Gabriela F SouzaLaboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil.
Janaína A JunkesPostgraduate Program in Society, Technologies and Public Policies, Tiradentes University Centre, AL, 57038-000, Brazil.
Nikolay V DokholyanDepartment of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, PA, 17033, United States.
Daniel Leite Góes GitaíDepartment of Cellular and Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil.
Marcelo DuzzioniLaboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil.
Universidade Federal de Alagoas · BRPenn State Milton S. Hershey Medical Center · USPennsylvania State University · USUniversidade Tiradentes · BR

Funding

Nanoscale programming of cellular and physiological phenotypes: EquipmentR35GM134864 · NIGMS · UNIVERSITY OF VIRGINIA · PI Nikolay Dokholyan · 2020 to 2026
$5.2M
NIGMS NIH HHS R35 GM134864
6 · The paper itself

Abstract

The discovery of disease-specific biomarkers, such as microRNAs (miRNAs), holds the potential to transform the landscape of Amyotrophic Lateral Sclerosis (ALS) by facilitating timely diagnosis, monitoring treatment response, and accelerating drug discovery. Such advancement could ultimately improve the quality of life and survival rates for ALS patients. Despite more than a decade of research, no miRNA biomarker candidate has been translated into clinical practice. We conducted a systematic review and meta-analysis to quantitatively synthesize data from original studies that analyzed miRNA expression from liquid biopsies via PCR and compared them to healthy controls. Our analysis encompasses 807 miRNA observations from 31 studies, stratified according to their source tissue. We identified consistently dysregulated miRNAs in serum (hsa-miR-3665, -4530, -4745-5p, -206); blood (hsa-miR-338-3p, -183-5p); cerebrospinal fluid (hsa-miR-34a-3p); plasma (hsa-miR-206); and neural-enriched extracellular vesicles from plasma (hsa-miR-146a-5p, -151a-5p, -10b-5p, -29b-3p, and -4454). The meta-analyses provided further support for the upregulation of hsa-miR-206, hsa-miR-338-3p, hsa-miR-146a-5p and hsa-miR-151a-5p, and downregulation of hsa-miR-183-5p, hsa-miR-10b-5p, hsa-miR-29b-3p, and hsa-miR-4454 as consistent indicators of ALS across independent studies. Our findings provide valuable insights into the current understanding of miRNAs' dysregulated expression in ALS patients and on the researchers' choices of methodology. This work contributes to the ongoing efforts towards discovering disease-specific biomarkers.

Indexed as

ALSBiomarkersDysregulated expressionLiquid biopsiesmiRNAs

Identifiers

PMID38511059
PMCPMC10950706
OpenAlexW4391578567

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.