Evidence map›Paper›PMID 36054529›Full record

ArticlePediatric obesity2022

Peripheral blood mononuclear cells-expressed miRNA profiles derived from children with metabolic-associated fatty liver disease and insulin resistance.

Maddi Oses, María Medrano, Javier Margareto Sanchez, Maria P Portillo, Concepcion Maria Aguilera, Signe Altmäe, Idoia Labayen

Open access · hybridAbstract read
In one paragraph

Article in Pediatric obesity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Observational
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  8. Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2023
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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

7 authors at 3 institutions in 1 country.

Maddi OsesInstitute for Sustainability & Food Chain Innovation (ISFOOD), Navarra Institute for Health Research (IdiSNA), Department of Health Sciences, Public University of Navarra, Pamplona, Spain.ORCID 0000-0001-7815-7583
María MedranoInstitute for Sustainability & Food Chain Innovation (ISFOOD), Navarra Institute for Health Research (IdiSNA), Department of Health Sciences, Public University of Navarra, Pamplona, Spain.ORCID 0000-0001-7048-642X
Javier Margareto SanchezTECNALIA, Basque Research and Technology Alliance (BRTA), Parque Tecnológico de Alava, Miñano, Spain.
Maria P PortilloNutrition and Obesity Group, Department of Nutrition and Food Science, University of the Basque Country (UPV/EHU), BIOARABA Institute of Health, CIBEROBN Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), Vitoria-Gasteiz, Spain.
Concepcion Maria AguileraInstituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.ORCID 0000-0002-1451-4788
Signe AltmäeInstituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.ORCID 0000-0002-0708-1865
Idoia LabayenInstitute for Sustainability & Food Chain Innovation (ISFOOD), Navarra Institute for Health Research (IdiSNA), Department of Health Sciences, Public University of Navarra, Pamplona, Spain.ORCID 0000-0002-4334-3287
Navarre Institute of Health Research · ESUniversidad de Granada · ESUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundmiRNA have been proposed as potential biomarkers of metabolic diseases.

objectivesTo identify potential miRNA biomarkers of early metabolic-associated fatty liver disease (MAFLD) and/or insulin resistance (IR) in preadolescent children.

methodsA total of 70 preadolescents, aged 8.5-12 years old participated in the study. Hepatic fat was assessed by magnetic resonance imaging. Fasting blood biochemical parameters were measured and HOMA-IR calculated. Peripheral blood mononuclear cells (PBMC)-derived miRNA profiles associated with MAFLD (≥5.5% hepatic fat) and IR (HOMA-IR ≥2.5) were identified using untargeted high-throughput miRNAs sequencing (RNA-seq).

resultsA total of 2123 PBMC-derived miRNAs were identified in children with (21.4%) or without MAFLD. Among them, hsa-miR-143-3p, hsa-miR-142-5p and hsa-miR-660-5p were up-regulated, and p-hsa-miR-247, hsa-let-7a-5p and hsa-miR-6823-3p down-regulated. Importantly, children with MAFLD had consistently higher miR-660-5p expression levels than their peers without it (p < 0.01), regardless of weight status. A total of 2124 PBMC-derived miRNA were identified in children with IR (28.6%) versus children without IR, where thirteen of them were dysregulated (p < 0.05) in children with IR. In addition, children with IR showed higher levels of miR-374a-5p and miR-190a-5p (p < 0.01) and lower levels of miR-4284 and miR-4791 (p < 005), than their peers without IR in both the whole sample and in those with overweight or obesity.

conclusionsOur study results suggest circulating miR-660-5p as a potential biomarker of the presence of MAFLD in preadolescent children while circulating miR-320a, miR-142-3p, miR-190a-5p, miR-374a-5p and let-7 family miRNAs could serve as potential biomarkers of IR in children.

Indexed as

Insulin ResistanceLiver DiseasesMicroRNAsBiomarkersChildHumansLeukocytes, MononuclearBiomarkersMicroRNAsMIRN660 microRNA, humanchildrenfatty liverinsulin resistancemetabolic diseasesMiRNAobesity

Identifiers

PMID36054529
PMCPMC9787576
OpenAlexW4293768129

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.