Evidence map›Paper›PMID 29211799›Full record

ArticlePloS one2017

Comparison of miRNA quantitation by Nanostring in serum and plasma samples.

Catherine Foye, Irene K Yan, Waseem David, Neha Shukla, Yacob Habboush, Lori Chase, Kristen Ryland, Vivek Kesari, Tushar Patel

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% 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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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10 more citing papers are in PubMed but not listed here.

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

9 authors at 1 institution in 1 country.

Catherine FoyeDepartment of Transplantation, Mayo Clinic, Jacksonville, Florida, United States of America.
Irene K YanDepartment of Transplantation, Mayo Clinic, Jacksonville, Florida, United States of America.
Waseem DavidDepartment of Transplantation, Mayo Clinic, Jacksonville, Florida, United States of America.
Neha ShuklaDepartment of Transplantation, Mayo Clinic, Jacksonville, Florida, United States of America.
Yacob HabboushDepartment of Transplantation, Mayo Clinic, Jacksonville, Florida, United States of America.
Lori ChaseDepartment of Transplantation, Mayo Clinic, Jacksonville, Florida, United States of America.
Kristen RylandDepartment of Transplantation, Mayo Clinic, Jacksonville, Florida, United States of America.
Vivek KesariDepartment of Transplantation, Mayo Clinic, Jacksonville, Florida, United States of America.
Tushar PatelDepartment of Transplantation, Mayo Clinic, Jacksonville, Florida, United States of America.ORCID http://orcid.org/0000-0001-7021-9532
Mayo Clinic in Florida · US

Funding

Extracellular non-coding RNA biomarkers of hepatocellular cancerUH3TR000884 · NCATS · MAYO CLINIC JACKSONVILLE · PI PATEL, TUSHAR · 2015 to 2017
$3.0M
NCATS NIH HHS UH3 TR000884
6 · The paper itself

Abstract

Circulating microRNAs that are associated with specific diseases have garnered much attention for use in diagnostic assays. However, detection of disease-associated miRNA can be affected by several factors such as release of contaminating cellular miRNA during sample collection, variations due to amplification of transcript for detection, or controls used for normalization for accurate quantitation. We analyzed circulating miRNA in serum and plasma samples obtained concurrently from 28 patients, using a Nanostring quantitative assay platform. Total RNA concentration ranged from 32-125 μg/ml from serum and 30-220 μg/ml from plasma. Of 798 miRNAs, 371 miRNAs were not detected in either serum or plasma samples. 427 were detected in either serum or plasma but not both, whereas 151 miRNA were detected in both serum and plasma samples. The diversity of miRNA detected was greater in plasma than in serum samples. In serum samples, the number of detected miRNA ranged from 3 to 82 with a median of 17, whereas in plasma samples, the number of miRNA detected ranged from 25 to 221 with a median of 91. Several miRNA such as miR451a, miR 16-5p, miR-223-3p, and mir25-3p were highly abundant and differentially expressed between serum and plasma. The detection of endogenous and exogenous control miRNAs varied in serum and plasma, with higher levels observed in plasma. Gene expression stability identified candidate invariant microRNA that were highly stable across all samples, and could be used for normalization. In conclusion, there are significant differences in both the number of miRNA detected and the amount of miRNA detected between serum and plasma. Normalization using miRNA with constant expression is essential to minimize the impact of technical variations. Given the challenges involved, ideal candidates for blood based biomarkers would be those that are indifferent to type of body fluid, are detectable and can be reliably quantitated.

Indexed as

AdultAgedBiomarkersCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMicroRNAsMiddle AgedBiomarkersMicroRNAs

Identifiers

PMID29211799
PMCPMC5718466
OpenAlexW2774156264

What OpenQuestion holds

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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.