Evidence map›Paper›PMID 29391006›Full record

ArticleBMC biotechnology2018

Two approaches for estimating the lower limit of quantitation (LLOQ) of microRNA levels assayed as exploratory biomarkers by RT-qPCR.

Russell D Wolfinger, Sudheer Beedanagari, Eric Boitier, Tao Chen, Philippe Couttet, Heidrun Ellinger-Ziegelbauer, Gregory Guillemain, Claire Mariet, Peter Mouritzen, Raegan O'Lone and 5 more

Abstract read
In one paragraph

Article in BMC biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

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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

15 authors.

Russell D WolfingerSAS Institute Inc., Cary, NC, 27513, USA.
Sudheer BeedanagariAlkermes Inc., Waltham, MA, 02451, USA.
Eric BoitierSanofi R&D, Disposition Safety and Animal Research, Vitry-sur-Seine, France.
Tao ChenDivision of Genetic and Molecular Toxicology, National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, 72079, USA.
Philippe CouttetNovartis Pharma AG, CH-4057, Basel, CH, Switzerland.
Heidrun Ellinger-ZiegelbauerToxicology, Bayer Pharma AG, 42096, Wuppertal, Germany.
Gregory GuillemainNovartis Pharma AG, CH-4057, Basel, CH, Switzerland.
Claire MarietSanofi R&D, Disposition Safety and Animal Research, Vitry-sur-Seine, France.
Peter MouritzenExiqon, DK-2950, Vedbaek, Denmark.
Raegan O'LoneILSI Health and Environmental Sciences Institute, 1156 15th NW, 2nd Floor, Washington, DC, 20005, USA. rbolone@gmail.com.
P Scott PineNational Institute of Standards and Technology, Stanford, CA, 94305, USA.
Tatiana SharapovaAbbVie, Abbott Park, IL, 60064, USA.
Jian YanDivision of Genetic and Molecular Toxicology, National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, 72079, USA.
Peter S YuenNIH/NIDDK, Bethesda, MD, 20892, USA.
Karol L ThompsonCenter for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, 20993, USA.

Funding

Early Detection Of Renal InjuryZIADK043400 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI STAR, ROBERT A · 2009 to 2025
$9.5M
6 · The paper itself

Abstract

backgroundCirculating microRNAs are undergoing exploratory use as safety biomarkers in drug development. Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is one common approach used to quantitate levels of microRNAs in samples that includes the use of a standard curve of calibrators fit to a regression model. Guidelines are needed for setting assay quantitation thresholds that are appropriate for this method and to biomarker pre-validation.

resultsIn this report, we develop two workflows for determining a lower limit of quantitation (LLOQ) for RT-qPCR assays of microRNAs in exploratory studies. One workflow is based on an error threshold calculated by a logistic model of the calibration curve data. The second workflow is based on a threshold set by the sample blank, which is the no template control for RT-qPCR. The two workflows are used to set lower thresholds of reportable microRNA levels for an example dataset in which miR-208a levels in biofluids are quantitated in a cardiac injury model. LLOQ thresholds set by either workflow are effective in filtering out microRNA values with large uncertainty estimates.

conclusionsTwo workflows for LLOQ determinations are presented in this report that provide methods that are easy to implement in investigational studies of microRNA safety biomarkers and offer choices in levels of conservatism in setting lower limits of acceptable values that facilitate interpretation of results.

Indexed as

Limit of DetectionAnimalsCalibrationGenetic MarkersMicroRNAsRatsReverse Transcriptase Polymerase Chain ReactionWorkflowGenetic MarkersMicroRNAsAbsolute quantitationLower limit of quantitationmicroRNAQuantitative PCR

Identifiers

PMID29391006
PMCPMC5796571

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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.