Literature DB >> 27605421

Absolute Measurement of Cardiac Injury-Induced microRNAs in Biofluids across Multiple Test Sites.

Karol L Thompson1, Eric Boitier2, Tao Chen3, Philippe Couttet4, Heidrun Ellinger-Ziegelbauer5, Manuela Goetschy4, Gregory Guillemain4, Masayuki Kanki6, Janet Kelsall7, Claire Mariet2, Catherine de La Moureyre-Spire8, Peter Mouritzen9, Rounak Nassirpour10, Raegan O'Lone11, P Scott Pine12, Barry A Rosenzweig1, Tatiana Sharapova13, Aaron Smith14, Hidefumi Uchiyama15, Jian Yan3, Peter S Yuen16, Russ Wolfinger17.   

Abstract

Extracellular microRNAs (miRNAs) represent a promising new source of toxicity biomarkers that are sensitive indicators of site of tissue injury. In order to establish reliable approaches for use in biomarker validation studies, the HESI technical committee on genomics initiated a multi-site study to assess sources of variance associated with quantitating levels of cardiac injury induced miRNAs in biofluids using RT-qPCR. Samples were generated at a central site using a model of acute cardiac injury induced in male Wistar rats by 0.5 mg/kg isoproterenol. Biofluid samples were sent to 11 sites for measurement of 3 cardiac enriched miRNAs (miR-1-3p, miR-208a-3p, and miR-499-5p) and 1 miRNA abundant in blood (miR-16-5p) or urine (miR-192-5p) by absolute quantification using calibration curves of synthetic miRNAs. The samples included serum and plasma prepared from blood collected at 4 h, urine collected from 6 to 24 h, and plasma prepared from blood collected at 24 h post subcutaneous injection. A 3 parameter logistic model was utilized to fit the calibration curve data and estimate levels of miRNAs in biofluid samples by inverse prediction. Most sites observed increased circulating levels of miR-1-3p and miR-208a-3p at 4 and 24 h after isoproterenol treatment, with no difference seen between serum and plasma. The biological differences in miRNA levels and sample type dominated as sources of variance, along with outlying performance by a few sites. The standard protocol established in this study was successfully implemented across multiple sites and provides a benchmark method for further improvements in quantitative assays for circulating miRNAs. Published by Oxford University Press on behalf of the Society of Toxicology 2016. This work is written by US Government employees and is in the public domain in the US.

Entities:  

Keywords:  biomarker; interlaboratory; microRNA; variance

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Year:  2016        PMID: 27605421     DOI: 10.1093/toxsci/kfw143

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  6 in total

Review 1.  Urinary MicroRNAs in Environmental Health: Biomarkers of Emergent Kidney Injury and Disease.

Authors:  Alison H Harrill; Alison P Sanders
Journal:  Curr Environ Health Rep       Date:  2020-06

2.  Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR.

Authors:  Takuma Iguchi; Noriyo Niino; Satoshi Tamai; Ken Sakurai; Kazuhiko Mori
Journal:  J Vis Exp       Date:  2018-02-12       Impact factor: 1.355

3.  Methodological considerations for measuring biofluid-based microRNA biomarkers.

Authors:  Brian N Chorley; Elnaz Atabakhsh; Graeme Doran; Jean-Charles Gautier; Heidrun Ellinger-Ziegelbauer; David Jackson; Tatiana Sharapova; Peter S T Yuen; Rachel J Church; Philippe Couttet; Roland Froetschl; James McDuffie; Victor Martinez; Parimal Pande; Lauren Peel; Conor Rafferty; Frank J Simutis; Alison H Harrill
Journal:  Crit Rev Toxicol       Date:  2021-05-26       Impact factor: 6.184

4.  Urinary miRNA Biomarkers of Drug-Induced Kidney Injury and Their Site Specificity Within the Nephron.

Authors:  Brian N Chorley; Heidrun Ellinger-Ziegelbauer; Michael Tackett; Frank J Simutis; Alison H Harrill; James McDuffie; Elnaz Atabakhsh; Rounak Nassirpour; Laurence O Whiteley; Jean-François Léonard; Gleta K Carswell; Ernie Harpur; Connie L Chen; Jean-Charles Gautier
Journal:  Toxicol Sci       Date:  2021-02-26       Impact factor: 4.849

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

Authors:  Russell D Wolfinger; Sudheer Beedanagari; Eric Boitier; Tao Chen; Philippe Couttet; Heidrun Ellinger-Ziegelbauer; Gregory Guillemain; Claire Mariet; Peter Mouritzen; Raegan O'Lone; P Scott Pine; Tatiana Sharapova; Jian Yan; Peter S Yuen; Karol L Thompson
Journal:  BMC Biotechnol       Date:  2018-02-02       Impact factor: 2.563

Review 6.  microRNAs Make the Call in Cancer Personalized Medicine.

Authors:  Simone Detassis; Margherita Grasso; Valerio Del Vescovo; Michela A Denti
Journal:  Front Cell Dev Biol       Date:  2017-09-22
  6 in total

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