Evidence map›Paper›PMID 25075309›Full record

ArticleBiomarker research2014

Circumventing qPCR inhibition to amplify miRNAs in plasma.

Jordan L Plieskatt, Yanjun Feng, Gabriel Rinaldi, Jason P Mulvenna, Jeffrey M Bethony, Paul J Brindley

Open access · goldAbstract read
In one paragraph

Article in Biomarker research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Guideline
  2. Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients.Translational research : the journal of laboratory and clinical medicine · 2021
    Trial
  3. Circulating levels of miR-20b-5p are associated with survival in cardiogenic shock.Journal of molecular and cellular cardiology plus · 2025
    Article
  4. Review
  5. Observational
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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

6 authors at 2 institutions in 2 countries.

Jordan L PlieskattDepartment of Microbiology, Immunology and Tropical Medicine, and Research Center for the Neglected Diseases of Poverty, School of Medicine and Health Sciences, George Washington University, Washington, D.C., USA.
Yanjun FengDepartment of Microbiology, Immunology and Tropical Medicine, and Research Center for the Neglected Diseases of Poverty, School of Medicine and Health Sciences, George Washington University, Washington, D.C., USA.
Gabriel RinaldiDepartment of Microbiology, Immunology and Tropical Medicine, and Research Center for the Neglected Diseases of Poverty, School of Medicine and Health Sciences, George Washington University, Washington, D.C., USA.
Jason P MulvennaInfectious Disease and Cancer, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia ; The University of Queensland, School of Biomedical Sciences, Brisbane, Queensland, Australia.
Jeffrey M BethonyDepartment of Microbiology, Immunology and Tropical Medicine, and Research Center for the Neglected Diseases of Poverty, School of Medicine and Health Sciences, George Washington University, Washington, D.C., USA.
Paul J BrindleyDepartment of Microbiology, Immunology and Tropical Medicine, and Research Center for the Neglected Diseases of Poverty, School of Medicine and Health Sciences, George Washington University, Washington, D.C., USA.
George Washington University · USQIMR Berghofer Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating microRNAs (c-miRNAs) have be identified in saliva, urine and blood, which has led to increasing interest in their development as biomarkers for diverse diseases including cancers. One of the key advantages of c-miRNAs over other biomarkers is the ability to be amplified and quantified by quantitative PCR (qPCR). However, at phlebotomy when whole blood is dispensed into heparinized tubes, residual levels of the anti-coagulant lithium heparin may remain in the plasma and hence with RNA isolated from the plasma. This can confound the detection of c-miRNAs by qPCR because it inhibits reverse transcriptase (RT). Here we present a procedure, modified from earlier techniques, to detect c-miRNAs in plasma that improves sensitivity and streamlines performance.

findingsTreatment of total RNA isolated from human blood plasma with Bacteroides heparinase I during reverse transcription at 37°C for one hour improved sensitivity and performance of the qPCR. This is in comparison to no treatment or treatment of the RNA prior to RT, which is the current suggested method and exposes plasma to Flavobacterium heparinum heparinase I for up to 2 hours before RT. This modest alteration improved qPCR performance and resulted in lowered threshold cycles (Ct) for detection of the target sequence, candidate c-miRNA biomarkers, and controls. It also reduced the expense and number of processing steps, shortening the duration of the assay and minimizing exposure of RNA to elevated temperatures.

conclusionIncorporating Bacteroides heparinase I treatment into conventional RT protocols targeting c-miRNA in plasma can be expected to expedite the discovery of biomarkers.

Indexed as

Anti-coagulantBacteroides heparinase IBiomarkerEliminaseHeparinHeparinaseInterferencemiRNAPlasmaqPCRReverse transcriptase

Identifiers

PMID25075309
PMCPMC4114091
OpenAlexW2165728881

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.