Evidence map›Paper›PMID 30006517›Full record

ArticleScientific reports2018

Non-invasive prediction of NAFLD severity: a comprehensive, independent validation of previously postulated serum microRNA biomarkers.

Mireia López-Riera, Isabel Conde, Guillermo Quintas, Laia Pedrola, Ángela Zaragoza, Judith Perez-Rojas, Mario Salcedo, Salvador Benlloch, José V Castell, Ramiro Jover

Open access · goldAbstract readValidation Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
8.4field-weighted citation impact, top 2% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Unifying and unique roles of non-coding RNA biomarkers in liver and heart fibrosis.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. The Role of microRNA-22 in Metabolism.International journal of molecular sciences · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Serum miR‑29 is increased in mice with early liver fibrosis.Experimental and therapeutic medicine · 2024
    Article
  13. Review
  14. Liquid Liver Biopsy for Disease Diagnosis and Prognosis.Journal of clinical and translational hepatology · 2023
    Review
  15. [Advances in serological non-invasive diagnosis for metabolic dysfunction-associated fatty liver disease].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

10 authors at 3 institutions in 1 country.

Mireia López-RieraHepatología Experimental, IIS Hospital La Fe, Valencia, Spain.
Isabel CondeHepatología Experimental, IIS Hospital La Fe, Valencia, Spain.
Guillermo QuintasHepatología Experimental, IIS Hospital La Fe, Valencia, Spain.
Laia PedrolaUnidad de Genómica, Servicio de Secuenciación, IIS Hospital La Fe, Valencia, Spain.
Ángela ZaragozaMedicina Digestiva, Sección Hepatología, Hospital La Fe, Valencia, Spain.
Judith Perez-RojasAnatomía Patológica, Sección Hepatología, Hospital La Fe, Valencia, Spain.
Mario SalcedoMedicina Interna, Hospital La Fe, Valencia, Spain.
Salvador BenllochMedicina Digestiva, Sección Hepatología, Hospital La Fe, Valencia, Spain.
José V CastellHepatología Experimental, IIS Hospital La Fe, Valencia, Spain.
Ramiro JoverHepatología Experimental, IIS Hospital La Fe, Valencia, Spain. ramiro.jover@uv.es.ORCID 0000-0002-4914-5804
Instituto de Investigación Sanitaria La Fe · ESUniversitat de València · ESLeitat Technological Center · ES

Funding

Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) FIS: 17/01089
6 · The paper itself

Abstract

Liver biopsy is currently the only reliable method to establish nonalcoholic fatty liver disease (NAFLD) severity. However, this technique is invasive and occasionally associated with severe complications. Thus, non-invasive diagnostic markers for NAFLD are needed. Former studies have postulated 18 different serum microRNA biomarkers with altered levels in NAFLD patients. In the present study, we have re-examined the predictive value of these serum microRNAs and found that 9 of them (miR-34a, -192, -27b, -122, -22, -21, -197, -30c and -16) associated to NAFLD severity in our independent cohort. Moreover, miR-192, -27b, -22, -197 and -30c appeared specific for NAFLD, when compared with patients with drug-induced liver injury. Preliminary serum RNAseq analysis allowed identifying novel potential miRNA biomarkers for nonalcoholic steatohepatitis (NASH). The classification performance of validated miRNAs (and their ratios) for NASH was better than that reached by AST, whereas for advanced fibrosis prediction miRNAs did not perform better than the FIB-4 algorithm. Cross-validated models combining both clinical and miRNA variables showed enhanced predictivity. In conclusion, the circulating microRNAs validated demonstrate a better diagnostic potential than conventional serum markers to identify NASH patients and could complement and improve current fibrosis prediction algorithms. The research in this field is still open.

Indexed as

Severity of Illness IndexAdultAgedBiomarkersCirculating MicroRNACohort StudiesDisease ProgressionFemaleHumansLiquid BiopsyLiverLiver CirrhosisMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePredictive Value of TestsBiomarkersCirculating MicroRNA

Identifiers

PMID30006517
PMCPMC6045608
OpenAlexW2853155602

What OpenQuestion 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 OpenQuestion graph.