Evidence mapPaperPMID 39337694Full record

ArticleInternational journal of molecular sciences2024

Discovery of Novel Biomarkers with Extended Non-Coding RNA Interactor Networks from Genetic and Protein Biomarkers.

Gregor Jezernik, Damjan Glavač, Pavel Skok, Martina Krušič, Uroš Potočnik, Mario Gorenjak

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Gregor JezernikCenter for Human Genetics & Pharmacogenomics, Faculty of Medicine, University of Maribor, Taborska ulica 8, 2000 Maribor, Slovenia.ORCID 0000-0003-1110-5345
Damjan GlavačCenter for Human Genetics & Pharmacogenomics, Faculty of Medicine, University of Maribor, Taborska ulica 8, 2000 Maribor, Slovenia.ORCID 0000-0001-9912-3331
Pavel SkokDepartment of Gastroenterology, Internal Medicine Clinic, University Medical Centre Maribor, Ljubljanska ulica 8, 2000 Maribor, Slovenia.
Martina KrušičCenter for Human Genetics & Pharmacogenomics, Faculty of Medicine, University of Maribor, Taborska ulica 8, 2000 Maribor, Slovenia.ORCID 0000-0001-7921-6565
Uroš PotočnikCenter for Human Genetics & Pharmacogenomics, Faculty of Medicine, University of Maribor, Taborska ulica 8, 2000 Maribor, Slovenia.ORCID 0000-0003-1624-9428
Mario GorenjakCenter for Human Genetics & Pharmacogenomics, Faculty of Medicine, University of Maribor, Taborska ulica 8, 2000 Maribor, Slovenia.ORCID 0000-0003-4208-9683

Funding

Slovenian Research and Innovation Agency I0-0029Slovenian Research and Innovation Agency J3-4497Slovenian Research and Innovation Agency J3-9258Slovenian Research and Innovation Agency P3-0427
6 · The paper itself

Abstract

Curated online interaction databases and gene ontology tools have streamlined the analysis of highly complex gene/protein networks. However, understanding of disease pathogenesis has gradually shifted from a protein-based core to complex interactive networks where non-coding RNA (ncRNA) is thought to play an essential role. As current gene ontology is based predominantly on protein-level information, there is a growing need to analyze networks with ncRNA. In this study, we propose a gene ontology workflow integrating ncRNA using the NPInter V5.0 database. To validate the proposed workflow, we analyzed our previously published curated biomarker datasets for hidden disease susceptibility processes and pharmacogenomics. Our results show a novel involvement of melanogenesis in psoriasis response to biological drugs in general. Hyperpigmentation has been previously observed in psoriasis following treatment with currently indicated biological drugs, thus calling attention to melanogenesis research as a response biomarker in psoriasis. Moreover, our proposed workflow highlights the need to critically evaluate computed ncRNA interactions within databases and a demand for gene ontology analysis of large miRNA blocks.

Indexed as

BiomarkersGene OntologyGene Regulatory NetworksPsoriasisRNA, UntranslatedDatabases, GeneticGenetic MarkersHumansProtein Interaction MapsBiomarkersGenetic MarkersRNA, Untranslateddisease pathogenesisgene ontologynon-coding RNA

Identifiers

PMID39337694
PMCPMC11432684

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.