Evidence map›Paper›PMID 31035857›Full record

ArticleRNA biology2019

Spring is in the air: seasonal profiles indicate vernal change of miRNA activity.

Nicole Ludwig, Anne Hecksteden, Mustafa Kahraman, Tobias Fehlmann, Thomas Laufer, Fabian Kern, Tim Meyer, Eckart Meese, Andreas Keller, Christina Backes

Open access · bronzeAbstract read
In one paragraph

Article in RNA biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  9. Seasonally variant gene expression in full-term human placenta.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
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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

10 authors at 2 institutions in 1 country.

Nicole Ludwiga Department of Human Genetics , Saarland University Hospital , Homburg , Germany.
Anne Heckstedenc Department of Sports Medicine , Saarland University , Saarbrücken , Germany.
Mustafa Kahramand Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany.
Tobias Fehlmannd Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany.
Thomas Lauferd Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany.
Fabian Kernd Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany.ORCID 0000-0002-8223-3750
Tim Meyerc Department of Sports Medicine , Saarland University , Saarbrücken , Germany.ORCID 0000-0003-3425-4546
Eckart Meesea Department of Human Genetics , Saarland University Hospital , Homburg , Germany.
Andreas Kellerd Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany.
Christina Backesd Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany.
Saarland University · DEHummingbird Diagnostics (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The envisioned application of miRNAs as diagnostic or prognostic biomarkers calls for an in-depth understanding of their distribution and variability in different physiological states. While effects with respect to ethnic origin, age, or gender are known, the inter-individual variability of miRNAs across the four seasons remained largely hidden. We sequentially profiled the complete repertoire of blood-borne miRNAs for 25 physiologically normal individuals in spring, summer, fall, and winter (altogether 95 samples) and validated the results on 292 individuals (919 samples collected with the Mitra home sampling device) by RT-qPCR. Principal variance component analysis suggests that the largest variability observed in miRNA expression is due to individual variability and the individuals' gender. But the results also highlight a deviation of miRNA activity in samples collected during spring time. Following adjustment for multiple testing, remarkable differences are observed between spring and fall (77 miRNAs). The two most dys-regulated miRNAs were miR-181c-5p and miR-106b-5p (adjusted p-value of 0.007). Other significant miRNAs include miR-140-3p, miR-21-3p, and let-7c-5p. The dys-regulation was validated by RT-qPCR. Systems biology analysis further provides strong evidence for the immunological origin of the signals: dys-regulated miRNAs are enriched in CD56 cells and belong to various signalling and immune-system-related pathways. Our data suggest that besides known confounding factors such as age and sex, also the season in which a test is conducted might have a considerable influence on the expression of blood-borne miRNAs and subsequently might interfere with diagnosis based on such signatures.

Indexed as

SeasonsAdultCD56 AntigenFemaleGene Expression Regulation, NeoplasticHumansMaleMicroRNAsPrincipal Component AnalysisCD56 AntigenMicroRNAsMIRN106 microRNA, humanMirn140 microRNA, humanMIrn181 microRNA, humanMIRN21 microRNA, humanmirnlet7 microRNA, humanmiRNA expressionseasonal changes

Identifiers

PMID31035857
PMCPMC6602417
OpenAlexW2943322035

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.