Evidence map›Paper›PMID 26385553›Full record

ArticleHuman genetics2015

Computational functional genomics based analysis of pain-relevant micro-RNAs.

Jörn Lötsch, Ellen Niederberger, Alfred Ultsch

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Jörn LötschInstitute of Clinical Pharmacology, Goethe-University, Theodor Stern Kai 7, 60590, Frankfurt am Main, Germany. j.loetsch@em.uni-frankfurt.de.
Ellen NiederbergerInstitute of Clinical Pharmacology, Goethe-University, Theodor Stern Kai 7, 60590, Frankfurt am Main, Germany.
Alfred UltschDataBionics Research Group, University of Marburg, Hans-Meerwein-Straße, 35032, Marburg, Germany.
Goethe University Frankfurt · DEPhilipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micro-ribonucleic acids (miRNAs) play a role in pain, based on studies on models of neuropathic or inflammatory pain and clinical evidence. The present analysis made extensive use of computational biology, knowledge discovery methods, publicly available databases and data mining tools to merge results from genetic and miRNA research into an analysis of the systems biological roles of miRNAs in pain. We identified that about one-third of miRNAs detected through nociceptive research have been associated with a mere 18 regulated genes. Substituting the missing genetic information by computational data mining and based on comprehensive current empirical evidence of gene versus miRNA interactions, we have identified a total of 130 pain genes as being probably regulated by a total of 167 different miRNAs. Particularly pain-relevant roles of miRNAs include the control of gene expression at any level and regulation of interleukin-6-related pain entities. Among the miRNAs regulating pain genes are seven that are brain specific, hinting at their therapeutic utility for modulating central nervous mechanisms of pain.

Indexed as

Databases, GeneticData MiningEpistasis, GeneticGene Expression RegulationGene Regulatory NetworksGenomicsHumansMicroRNAsMolecular Sequence AnnotationPainMicroRNAs

Identifiers

PMID26385553
OpenAlexW1946411627

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.