Evidence map›Paper›PMID 25386083›Full record

ArticleWorld journal of gastroenterology2014

Elevated miR-33a and miR-224 in steatotic chronic hepatitis C liver biopsies.

Gabor Lendvai, Katalin Jármay, Gizella Karácsony, Tünde Halász, Ilona Kovalszky, Kornélia Baghy, Tibor Wittmann, Zsuzsa Schaff, András Kiss

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 23% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Gabor LendvaiGabor Lendvai, Zsuzsa Schaff, MTA-SE Tumor Progression Research Group, Semmelweis University, 1091 Budapest, Hungary.
Katalin JármayGabor Lendvai, Zsuzsa Schaff, MTA-SE Tumor Progression Research Group, Semmelweis University, 1091 Budapest, Hungary.
Gizella KarácsonyGabor Lendvai, Zsuzsa Schaff, MTA-SE Tumor Progression Research Group, Semmelweis University, 1091 Budapest, Hungary.
Tünde HalászGabor Lendvai, Zsuzsa Schaff, MTA-SE Tumor Progression Research Group, Semmelweis University, 1091 Budapest, Hungary.
Ilona KovalszkyGabor Lendvai, Zsuzsa Schaff, MTA-SE Tumor Progression Research Group, Semmelweis University, 1091 Budapest, Hungary.
Kornélia BaghyGabor Lendvai, Zsuzsa Schaff, MTA-SE Tumor Progression Research Group, Semmelweis University, 1091 Budapest, Hungary.
Tibor WittmannGabor Lendvai, Zsuzsa Schaff, MTA-SE Tumor Progression Research Group, Semmelweis University, 1091 Budapest, Hungary.
Zsuzsa SchaffGabor Lendvai, Zsuzsa Schaff, MTA-SE Tumor Progression Research Group, Semmelweis University, 1091 Budapest, Hungary.
András KissGabor Lendvai, Zsuzsa Schaff, MTA-SE Tumor Progression Research Group, Semmelweis University, 1091 Budapest, Hungary.
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo assess the expression of selected microRNAs (miRNA) in hepatitis C, steatotic hepatitis C, noninfected steatotic and normal liver tissues.

methodsThe relative expression levels of miR-21, miR-33a, miR-96, miR-122, miR-125b, miR-221 and miR-224 were determined in 76 RNA samples isolated from 18 non-steatotic and 28 steatotic chronic hepatitis C (CHC and CHC-Steatosis, respectively) cases, 18 non-infected, steatotic liver biopsies of metabolic origin (Steatosis) and 12 normal formalin-fixed paraffin-embedded liver tissues using TaqMan MicroRNA Assays. All CHC biopsy samples were obtained prior to initiating therapy. Patients' serum biochemical values, which included glucose, triglyceride, cholesterol, alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl-transferase (GGT), alkaline phosphatase (AP), were obtained and correlated with relative miRNA expression.

resultsWhen compared with control non-infected liver samples, miR-122 and miR-221 levels were reduced in CHC-Steatosis (P < 0.03) and in CHC, CHC-Steatosis and Steatosis (P < 0.01). Alternatively, the expression of miR-33a and miR-224 were elevated in CHC-Steatosis and Steatosis in comparison to control tissue (P < 0.01). The levels of miR-33a and miR-224 in CHC-Steatosis (P < 0.02) and miR-224 in Steatosis (P < 0.001) were increased in comparison to CHC samples. By contrast, the expression of miR-21 did not differ statistically between diseased and normal liver samples. Levels of miR-33a correlated negatively with serum AST and AP levels in Steatosis as well as with necroinflammatory grade in CHC, whereas miR-21 correlated positively with AST in Steatosis and displayed negative correlation with triglyceride level in CHC-Steatosis. In contrast, miRNA levels were not correlated with ALT, GGT, cholesterol levels or fibrosis stage.

conclusionDifferences in miRNA expression were observed between CHC and steatotic CHC, CHC and steatotic liver, but not between steatotic CHC and steatotic liver of metabolic origin.

Indexed as

AdultAlanine TransaminaseAlkaline PhosphataseAspartate AminotransferasesBiopsyCase-Control StudiesFemalegamma-GlutamyltransferaseGenetic MarkersHepatitis C, ChronicHumansLiverMaleMicroRNAsMiddle AgedNon-alcoholic Fatty Liver DiseaseAlanine TransaminaseAlkaline PhosphataseAspartate Aminotransferasesgamma-Glutamyltransferasegamma-glutamyltransferase, humanGenetic MarkersMicroRNAsMIRN224 microRNA, humanMIRN33a microRNA, humanChronic hepatitis CExpressionMicroRNAmiR-224miR-33aSteatosis

Identifiers

PMID25386083
PMCPMC4223268
OpenAlexW1973525450

What OpenQuestion holds

Textmetadata
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.