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Published on: October 26, 2017
Whole Blood Holding Time Prior to Plasma Processing Alters microRNA Expression Profile
Sung Hye Kim1,2, David A MacIntyre1,2, Lynne Sykes1,2
1Parturition Group, Department of Surgery and Cancer, Institute of Reproductive and Developmental Biology, Imperial College London, London, United Kingdom.
Abstract:
MicroRNAs (miRNAs) can exhibit aberrant expression under different physiological and pathological conditions. Therefore, differentially expressed circulating miRNAs have been a focus of biomarker discovery research. However, the use of circulating miRNAs comes with challenges which may hinder the reliability for their clinical application. These include varied sample collection protocols, storage times/conditions, sample processing and analysis methods. This study focused on examining the effect of whole blood holding time on the stability of plasma miRNA expression profiles. Whole blood samples were collected from healthy pregnant women and were held at 4°C for 30 min, 2 h, 6 h or 24 h prior to processing for plasma isolation. Plasma RNA was extracted and the expression of 179 miRNAs were analyzed. Unsupervised principal component analysis demonstrated that whole blood holding time was a major source of variation in miRNA expression profiles with 53 of 179 miRNAs showing significant changes in expression. Levels of specific miRNAs previously reported to be associated with pregnancy-associated complications such as hsa-miR-150-5p, hsa-miR-191-5p, and hsa-miR-29a-3p, as well as commonly used endogenous miRNA controls, hsa-miR-16-5p, hsa-miR-25-3p, and hsa-miR-223-3p were significantly altered with increase in blood holding time. Current protocols for plasma-based miRNA profiling for diagnostics describe major differences in whole blood holding periods ranging from immediately after collection to 26 h after. Our results demonstrate holding time can have dramatic effects on analytical reliability and reproducibility. This highlights the importance of standardization of blood holding time prior to processing for plasma in order to minimize introduction of non-biological variance in miRNA profiles.
Insights
Whole blood holding time significantly impacts plasma microRNA (miRNA) profiles, affecting biomarker reliability. Standardizing blood collection and processing is crucial for accurate diagnostic results.
Area of Science:
- Biochemistry
- Molecular Biology
- Genomics
Background:
- Circulating microRNAs (miRNAs) are promising biomarkers for various conditions.
- Challenges in sample handling, including blood holding time, can affect miRNA stability and reliability.
- Variability in protocols hinders the clinical application of circulating miRNA biomarkers.
Purpose of the Study:
- To investigate the impact of whole blood holding time on plasma miRNA expression profiles.
- To determine the stability of specific pregnancy-associated and control miRNAs under different holding times.
- To assess the influence of blood holding time on the overall miRNA expression landscape.
Main Methods:
- Whole blood samples from healthy pregnant women were collected and held at 4°C for varying durations (30 min, 2 h, 6 h, 24 h).
- Plasma was isolated, and RNA extracted.
- Expression of 179 miRNAs was analyzed using quantitative methods, with unsupervised principal component analysis employed for data interpretation.
Main Results:
- Whole blood holding time was identified as a significant source of variation in plasma miRNA profiles.
- 53 out of 179 analyzed miRNAs showed significant expression changes with increased holding time.
- Key miRNAs, including pregnancy-associated (hsa-miR-150-5p, hsa-miR-191-5p, hsa-miR-29a-3p) and control miRNAs (hsa-miR-16-5p, hsa-miR-25-3p, hsa-miR-223-3p), exhibited altered levels.
Conclusions:
- Blood holding time before plasma processing critically affects plasma miRNA expression profiles.
- This variability can compromise the analytical reliability and reproducibility of miRNA-based diagnostics.
- Standardization of whole blood holding times is essential to minimize non-biological variance and ensure accurate miRNA biomarker discovery and application.

