Evidence map›Paper›PMID 27475403›Full record

ArticleGenomics, proteomics & bioinformatics2016

Absent MicroRNAs in Different Tissues of Patients with Acquired Cardiomyopathy.

Christine S Siegismund, Maria Rohde, Uwe Kühl, Felicitas Escher, Heinz Peter Schultheiss, Dirk Lassner

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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 at 1 institution in 1 country.

Christine S SiegismundInstitute for Cardiac Diagnostics and Therapy (IKDT), 12203 Berlin, Germany.
Maria RohdeInstitute for Cardiac Diagnostics and Therapy (IKDT), 12203 Berlin, Germany.
Uwe KühlInstitute for Cardiac Diagnostics and Therapy (IKDT), 12203 Berlin, Germany; Department of Cardiology, Campus Virchow, Charité - University Hospital Berlin, 13353 Berlin, Germany.
Felicitas EscherInstitute for Cardiac Diagnostics and Therapy (IKDT), 12203 Berlin, Germany; Department of Cardiology, Campus Virchow, Charité - University Hospital Berlin, 13353 Berlin, Germany.
Heinz Peter SchultheissInstitute for Cardiac Diagnostics and Therapy (IKDT), 12203 Berlin, Germany.
Dirk LassnerInstitute for Cardiac Diagnostics and Therapy (IKDT), 12203 Berlin, Germany. Electronic address: info@ikdt.de.
CS Diagnostics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) can be found in a wide range of tissues and body fluids, and their specific signatures can be used to determine diseases or predict clinical courses. The miRNA profiles in biological samples (tissue, serum, peripheral blood mononuclear cells or other body fluids) differ significantly even in the same patient and therefore have their own specificity for the presented condition. Complex profiles of deregulated miRNAs are of high interest, whereas the importance of non-expressed miRNAs was ignored. Since miRNAs regulate gene expression rather negatively, absent miRNAs could indicate genes with unaltered expression that therefore are normally expressed in specific compartments or under specific disease situations. For the first time, non-detectable miRNAs in different tissues and body fluids from patients with different diseases (cardiomyopathies, Alzheimer's disease, bladder cancer, and ocular cancer) were analyzed and compared in this study. miRNA expression data were generated by microarray or TaqMan PCR-based platforms. Lists of absent miRNAs of primarily cardiac patients (myocardium, blood cells, and serum) were clustered and analyzed for potentially involved pathways using two prediction platforms, i.e., miRNA enrichment analysis and annotation tool (miEAA) and DIANA miRPath. Extensive search in biomedical publication databases for the relevance of non-expressed miRNAs in predicted pathways revealed no evidence for their involvement in heart-related pathways as indicated by software tools, confirming proposed approach.

Indexed as

AlgorithmsCardiomyopathiesCerebrospinal FluidHumansLeukocytes, MononuclearMicroRNAsNucleic Acid Amplification TechniquesOligonucleotide Array Sequence AnalysisMicroRNAsAbsent miRNAsCardiomyopathyHeart muscle biopsyPeripheral blood mononuclear cellSerum

Identifiers

PMID27475403
PMCPMC4996855
OpenAlexW2494062624

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.