Evidence map›Paper›PMID 39596356›Full record

ArticleInternational journal of molecular sciences2024

Exosomal mRNA Signatures as Predictive Biomarkers for Risk and Age of Onset in Alzheimer's Disease.

Daniel A Bolívar, María I Mosquera-Heredia, Oscar M Vidal, Ernesto Barceló, Ricardo Allegri, Luis C Morales, Carlos Silvera-Redondo, Mauricio Arcos-Burgos, Pilar Garavito-Galofre, Jorge I Vélez

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

10 authors.

Daniel A BolívarDepartment of Industrial Engineering, Universidad del Norte, Barranquilla 081007, Colombia.ORCID 0000-0002-9664-3400
María I Mosquera-HerediaDepartment of Medicine, Universidad del Norte, Barranquilla 081007, Colombia.ORCID 0000-0002-9662-2925
Oscar M VidalDepartment of Medicine, Universidad del Norte, Barranquilla 081007, Colombia.ORCID 0000-0002-7807-1242
Ernesto BarcelóInstituto Colombiano de Neuropedagogía, Barranquilla 080020, Colombia.
Ricardo AllegriInstitute for Neurological Research FLENI, Montañeses 2325, Buenos Aires C1428AQK, Argentina.
Luis C MoralesDepartment of Medicine, Universidad del Norte, Barranquilla 081007, Colombia.
Carlos Silvera-RedondoDepartment of Medicine, Universidad del Norte, Barranquilla 081007, Colombia.
Mauricio Arcos-BurgosGrupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Instituto de Investigaciones Médicas, Facultad de Medicina, Universidad de Antioquia, Medellín 050010, Colombia.
Pilar Garavito-GalofreDepartment of Medicine, Universidad del Norte, Barranquilla 081007, Colombia.
Jorge I VélezDepartment of Industrial Engineering, Universidad del Norte, Barranquilla 081007, Colombia.ORCID 0000-0002-3146-7899

Funding

Ministery of Science, Technology and Innovation of Colombia (MINCIENCIAS) code 121584468097, grant 844/2019, contract 416-2020
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and memory loss. While the precise causes of AD remain unclear, emerging evidence suggests that messenger RNA (mRNA) dysregulation contributes to AD pathology and risk. This study examined exosomal mRNA expression profiles of 15 individuals diagnosed with AD and 15 healthy controls from Barranquilla, Colombia. Utilizing advanced bioinformatics and machine learning (ML) techniques, we identified differentially expressed mRNAs and assessed their predictive power for AD diagnosis and AD age of onset (ADAOO). Our results showed that ENST00000331581 (

Indexed as

Age of OnsetAlzheimer DiseaseBiomarkersExosomesRNA, MessengerAgedAged, 80 and overCase-Control StudiesFemaleGene Expression ProfilingHumansMachine LearningMaleMiddle AgedBiomarkersRNA, MessengerAlzheimer’s diseaseexosomesmachine learningmRNApersonalized medicine

Identifiers

PMID39596356
PMCPMC11594294

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.