Evidence map›Paper›PMID 31169972›Full record

ArticleLiver international : official journal of the International Association for the Study of the Liver2019

Serum coding and non-coding RNAs as biomarkers of NAFLD and fibrosis severity.

Stefania Di Mauro, Alessandra Scamporrino, Salvatore Petta, Francesca Urbano, Agnese Filippello, Marco Ragusa, Maria T Di Martino, Francesca Scionti, Stefania Grimaudo, Rosaria M Pipitone and 11 more

Abstract read
In one paragraph

Article in Liver international : official journal of the International Association for the Study of the Liver, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
–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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Epigenetic Mechanisms in Type 2 Diabetes Retinopathy: A Systematic Review.International journal of molecular sciences · 2021
    Pooled it
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  15. Serum non-coding RNAs for diagnosis and stage of liver fibrosis.Journal of clinical laboratory analysis · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Long Noncoding RNAs and Human Liver Disease.Annual review of pathology · 2022
    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

21 authors.

Stefania Di MauroDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, Catania, Italy.
Alessandra ScamporrinoDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, Catania, Italy.ORCID 0000-0003-4483-3365
Salvatore PettaSection of Gastroenterology, Di.Bi.M.I.S, University of Palermo, Palermo, Italy.ORCID 0000-0002-0822-9673
Francesca UrbanoDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, Catania, Italy.
Agnese FilippelloDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, Catania, Italy.
Marco RagusaDepartment of BioMedical Sciences and BioTechnology, Section of Biology and Genetics Giovanni Sichel, Unit of Molecular, Genome and Complex Systems BioMedicine, Catania, Italy.
Maria T Di MartinoDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy.
Francesca SciontiDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy.
Stefania GrimaudoSection of Gastroenterology, Di.Bi.M.I.S, University of Palermo, Palermo, Italy.
Rosaria M PipitoneSection of Gastroenterology, Di.Bi.M.I.S, University of Palermo, Palermo, Italy.
Graziella PriviteraDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, Catania, Italy.
Antonino Di PinoDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, Catania, Italy.
Roberto ScicaliDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, Catania, Italy.
Luca ValentiTranslational Medicine, University of Milan, Fondazione IRCCS Ca' Granda Pad Marangoni, Milan, Italy.ORCID 0000-0001-8909-0345
Paola DongiovanniDepartment of Pathophysiology and Transplantation, Section of Internal Medicine, University of Milan, Fondazione Ca' Granda IRCCS Ospedale Maggiore Policlinico, Milan, Italy.
Anna FracanzaniDepartment of Pathophysiology and Transplantation, Section of Internal Medicine, University of Milan, Fondazione Ca' Granda IRCCS Ospedale Maggiore Policlinico, Milan, Italy.ORCID 0000-0001-5918-0171
Agata M RabuazzoDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, Catania, Italy.
Antonio CraxìSection of Gastroenterology, Di.Bi.M.I.S, University of Palermo, Palermo, Italy.
Michele PurrelloDepartment of BioMedical Sciences and BioTechnology, Section of Biology and Genetics Giovanni Sichel, Unit of Molecular, Genome and Complex Systems BioMedicine, Catania, Italy.
Francesco PurrelloDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, Catania, Italy.
Salvatore PiroDepartment of Clinical and Experimental Medicine, Internal Medicine, Garibaldi-Nesima Hospital, University of Catania, Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsIn patients with non-alcoholic fatty liver disease (NAFLD), liver biopsy is the gold standard to detect non-alcoholic steatohepatitis (NASH) and stage liver fibrosis. We aimed to identify differentially expressed mRNAs and non-coding RNAs in serum samples of biopsy-diagnosed mild and severe NAFLD patients with respect to controls and to each other.

methodsWe first performed a whole transcriptome analysis through microarray (n = 12: four Control: CTRL; four mild NAFLD: NAS ≤ 4 F0; four severe NAFLD NAS ≥ 5 F3), followed by validation of selected transcripts through real-time PCRs in an independent internal cohort of 88 subjects (63 NAFLD, 25 CTRL) and in an external cohort of 50 NAFLD patients. A similar analysis was also performed on liver biopsies and HepG2 cells exposed to oleate:palmitate or only palmitate (cellular model of NAFL/NASH) at intracellular/extracellular levels. Transcript correlation with histological/clinical data was also analysed.

resultsWe identified several differentially expressed coding/non-coding RNAs in each group of the study cohort. We validated the up-regulation of UBE2V1, BNIP3L mRNAs, RP11-128N14.5 lncRNA, TGFB2/TGFB2-OT1 coding/lncRNA in patients with NAS ≥ 5 (vs NAS ≤ 4) and the up-regulation of HBA2 mRNA, TGFB2/TGFB2-OT1 coding/lncRNA in patients with Fibrosis stages = 3-4 (vs F = 0-2). In in vitro models: UBE2V1, RP11-128N14.5 and TGFB2/TGFB2-OT1 had an increasing expression trend ranging from CTRL to oleate:palmitate or only palmitate-treated cells both at intracellular and extracellular level, while BNIP3L was up-regulated only at extracellular level. UBE2V1, RP11-128N14.5, TGFB2/TGFB2-OT1 and HBA2 up-regulation was also observed at histological level. UBE2V1, RP11-128N14.5, BNIP3L and TGFB2/TGFB2-OT1 correlated with histological/biochemical data. Combinations of TGFB2/TGFB2-OT1 + Fibrosis Index based on the four factors (FIB-4) showed an Area Under the Curve (AUC) of 0.891 (P = 3.00E-06) or TGFB2/TGFB2-OT1 + Fibroscan (AUC = 0.892, P = 2.00E-06) improved the detection of F = 3-4 with respect to F = 0-2 fibrosis stages.

conclusionsWe identified specific serum coding/non-coding RNA profiles in severe and mild NAFLD patients that possibly mirror the molecular mechanisms underlying NAFLD progression towards NASH/fibrosis. TGFB2/TGFB2-OT1 detection improves FIB-4/Fibroscan diagnostic performance for advanced fibrosis discrimination.

Indexed as

AdultBiomarkersBiopsyCohort StudiesDisease ProgressionFemaleGene Expression ProfilingHumansLiverLiver CirrhosisMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePredictive Value of TestsRNA, UntranslatedROC CurveBiomarkersRNA, Untranslatedfibrosisliquid-biopsyNAFLDNASHRNAs

Identifiers

PMID31169972
PMCPMC6771597

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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.