NIH, National Cancer Institute, Division of Cancer Treatment and Diagnosis (DCTD) NIH - National Institutes of Health National Cancer Institute DCTD - Division of Cancer Treatment and Diagnosis

Quantification of microRNA levels in plasma - Impact of preanalytical and analytical conditions.

Author(s): Binderup HG, Madsen JS, Heegaard NHH, Houlind K, Andersen RF, Brasen CL

Publication: PLoS One, 2018, Vol. 13, Page e0201069

PubMed ID: 30024941 PubMed Review Paper? No

Purpose of Paper

This paper investigated the effects of draw order, centrifugation steps, and normalization method on the measurement of microRNA (miRNA, miR) levels in plasma from a single patient and compared levels of miRNA in standard and platelet-poor plasma (PPP).

Conclusion of Paper

Draw order had no effect on the levels of miRNA in specimens from a single patient, regardless of normalization method. Levels of miR-92a, miR-126, and miR-16 were comparable in plasma obtained by dual centrifugation and prolonged single centrifugation when normalized to cel-miR-39, but levels of miR126 were higher in plasma obtained by dual centrifugation than that obtained by a single prolonged centrifugation step when normalized to miR-16. Centrifugation protocol was found to account for 64-73% of the intra-assay variability when normalized to cel-miR-39, 39-66% when normalized to miR-16, and 55-61% when normalized to both cel-miR-39 and miR-16. Correlations between PPP and standard plasma were miRNA- and normalizer-dependent. Levels of miR-92a were not correlated between individual TaqMan assays and TaqMan low density arrays (TLDA) assays, but modest correlations between methods were observed for miR-16. miRNA levels were very strongly correlated between real-time (q)PCR and droplet digital (dd)PCR when normalized to cel-miR-39, but only modest to very strong when normalized to miR-16 alone or in combination with cel-miR-39.

Studies

  1. Study Purpose

    This study investigated the effects of draw order, centrifugation steps, and normalization method on the measurement of miRNA levels in plasma from a single patient and compared levels of miRNA in standard plasma and PPP. Blood was collected using 21-gauge needles into K2EDTA tubes with intermittent claudication after discarding the first 3 mL. PPP was obtained from 30 blood specimens from a single healthy patient using a standard dual centrifugation protocol (two steps at 3000 x g for 15 min) and by a prolonged single centrifugation (3000 x g for 30 min). Blood from 50 healthy patients was used to obtain standard plasma by centrifugation at 2000 x g for 10 min and PPP by the standard dual centrifugation protocol. Plasma was thawed and recentrifuged at 3000 x g for 15 min and miRNA was purified using the NucleoSpin miRNA Plasma kit. Levels of miR-92a, miR-126, and miR-16 were quantified by TaqMan real-time PCR assays, after preamplification using the TaqMan PreAmp Master kit using TaqMan low density arrays, and by ddPCR.

    Summary of Findings:

    Draw order had no effect on the levels miRNA in specimens from a single patient, regardless of normalization method. Levels of miR-92a, miR-126, and miR-16 were comparable in plasma obtained by dual centrifugation and prolonged single centrifugation when normalized to cel-miR-39, but levels of miR126 were higher in plasma obtained by dual centrifugation than that obtained by a single prolonged centrifugation step when normalized to miR-16 (P<0.02). The coefficients of variation depended on the normalization method and was highest when normalized to cel-miR-39 (10.9-21.1%) and lower when normalized to miR-16 alone (9.5-14.2%) or in combination with cel-miR-39 (9.2-13.3%). Centrifugation protocol was found to account for 64-73% of the intra-assay variability when normalized to cel-miR-39, 39-66% when normalized to miR-16, and 55-61% when normalized to both cel-miR-39 and miR-16.

    Cel-miR-39 normalized miRNA levels in PPP were not correlated to those in standard plasma, but miR-92a and miR-126 levels in PPP were modestly correlated to those in standard plasma when normalized to miR-16 (ρ=0.42, P=0.0024 and ρ=0.48, P=0.0004, respectively). Further, levels of miR-126 were modestly correlated in standard and PPP when normalized to cel-miR-39 in combination with miR-16, but there was no correlation observed for miR-92a levels normalized to cel-miR-39 with miR-16.

    Levels of miR-92a were not correlated between individual TaqMan assays and TLDA assays, but modest correlations between methods were observed for miR-16 (ρ=0.47, P=0.0005). Inter-assay precision was slightly higher for qPCR than ddPCR, but intra-assay precision was significantly higher with ddPCR.  miRNA levels were very strongly correlated between qPCR and ddPCR when normalized to cel-miR-39 (ρ≥0.92, P<0.0001), but only modest to very strong when normalized to miR-16 alone or in combination with cel-miR-39 (ρ=0.57-0.94, P<0.0001).

    Biospecimens
    Preservative Types
    • Frozen
    Diagnoses:
    • Normal
    Platform:
    AnalyteTechnology Platform
    RNA Low density array
    RNA Real-time qRT-PCR
    Pre-analytical Factors:
    ClassificationPre-analytical FactorValue(s)
    Biospecimen Aliquots and Components Aliquot sequential collection 1st collection
    2nd collection
    3rd collection
    4th collection
    5th collection
    6th collection
    7th collection
    8th collection
    9th collection
    10th collection
    Real-time qRT-PCR Specific Data handling Normalized to cel-miR-39
    Normalized to miR-16
    Normalized to cel-miR-39 and miR-16
    Real-time qRT-PCR Specific Technology platform ddPCR
    Single TaqMan assay
    TLDA
    Biospecimen Aliquots and Components Centrifugation Different number of centrifugation steps compared
    Biospecimen Aliquots and Components Blood and blood products Plasma
    Platelet-poor plasma

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