Evidence map›Paper›PMID 35886071›Full record

ArticleGenes2022

Haemolysis Detection in MicroRNA-Seq from Clinical Plasma Samples.

Melanie D Smith, Shalem Y Leemaqz, Tanja Jankovic-Karasoulos, Dale McAninch, Dylan McCullough, James Breen, Claire T Roberts, Katherine A Pillman

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  7. Review
  8. Blood Pressure and Late Pregnancy Circulating miRNAs in the MADRES Study.Journal of the American Heart Association · 2025
    Article
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  10. Review
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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

8 authors at 4 institutions in 1 country.

Melanie D SmithFlinders Health and Medical Research Institute, Flinders University, Bedford Park, SA 5042, Australia.ORCID 0000-0001-7016-8245
Shalem Y LeemaqzFlinders Health and Medical Research Institute, Flinders University, Bedford Park, SA 5042, Australia.
Tanja Jankovic-KarasoulosFlinders Health and Medical Research Institute, Flinders University, Bedford Park, SA 5042, Australia.
Dale McAninchAdelaide Medical School, University of Adelaide, Adelaide, SA 5000, Australia.ORCID 0000-0001-9735-6553
Dylan McCulloughFlinders Health and Medical Research Institute, Flinders University, Bedford Park, SA 5042, Australia.ORCID 0000-0002-4510-3797
James BreenIndigenous Genomics, Telethon Kids Institute, Adelaide, SA 5000, Australia.
Claire T RobertsFlinders Health and Medical Research Institute, Flinders University, Bedford Park, SA 5042, Australia.ORCID 0000-0002-9250-2192
Katherine A PillmanCentre for Cancer Biology, University of South Australia/SA Pathology, Adelaide, SA 5000, Australia.ORCID 0000-0002-5869-889X
Flinders University · AUAustralian National University · AUSouth Australia Pathology · AUThe University of Adelaide · AU

Funding

Maternal molecular profiles reflect placental function and development across gestationR01HD089685 · NICHD · UNIVERSITY OF ADELAIDE · PI ROBERTS, CLAIRE · 2016 to 2019
$953k
NICHD NIH HHS R01 HD089685
6 · The paper itself

Abstract

The abundance of cell-free microRNA (miRNA) has been measured in blood plasma and proposed as a source of novel, minimally invasive biomarkers for several diseases. Despite improvements in quantification methods, there is no consensus regarding how haemolysis affects plasma miRNA content. We propose a method for haemolysis detection in miRNA high-throughput sequencing (HTS) data from libraries prepared using human plasma. To establish a miRNA haemolysis signature we tested differential miRNA abundance between plasma samples with known haemolysis status. Using these miRNAs with statistically significant higher abundance in our haemolysed group, we further refined the set to reveal high-confidence haemolysis association. Given our specific context, i.e., women of reproductive age, we also tested for significant differences between pregnant and non-pregnant groups. We report a novel 20-miRNA signature used to identify the presence of haemolysis in silico in HTS miRNA-sequencing data. Further, we validated the signature set using firstly an all-male cohort (prostate cancer) and secondly a mixed male and female cohort (radiographic knee osteoarthritis). Conclusion: Given the potential for haemolysis contamination, we recommend that assays for haemolysis detection become standard pre-analytical practice and provide here a simple method for haemolysis detection.

Indexed as

Circulating MicroRNAMicroRNAsBiomarkersFemaleHemolysisHigh-Throughput Nucleotide SequencingHumansMaleBiomarkersCirculating MicroRNAMicroRNAsbioinformaticsbiomarkerhaemolysismicroRNAplasmaprediction

Identifiers

PMID35886071
PMCPMC9317737
OpenAlexW4286433636

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.