Methodological challenges in utilizing mi RNA s as circulating biomarkers
Open accessAbstract
Micro RNA s (mi RNA s) have emerged as important regulators in the post‐transcriptional control of gene expression. The discovery of their presence not only in tissues but also in extratissular fluids, including blood, urine and cerebro‐spinal fluid, together with their changes in expression in various pathological conditions, has implicated these extracellular mi RNA s as informative biomarkers of disease. However, exploiting mi RNA s in this capacity requires methodological rigour. Here, we report several key procedural aspects of mi RNA isolation from plasma and serum, as exemplified by research in cardiovascular and pulmonary diseases. We also highlight the advantages and disadvantages of various profiling methods to determine the expression levels of plasma‐ and serum‐derived mi RNA s. Attention to such methodological details is critical, as circulating mi RNA s become diagnostic tools for various human diseases.
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Inconsistent results among CSF microRNA studies have been attributed in part to various technical limitations and demographic diversity between sample cohorts.
“Obviously, various technical limitations and demographic diversity between sample cohorts may have contributed, in part, to such conflicting results20–22.”
From Intra- and Inter-individual Variability of microRNA Levels in Human Cerebrospinal Fluid: Critical Implications for Biomarker Discovery (2017) · cites this paper as [21]
The Introduction (page unavailable) says differences in extraction methods and analysis platforms can produce inconsistent or contradictory miRNA results. The paper focuses on plasma and serum; our copy does not attribute conflicting CSF study results to those limitations or to demographic differences between cohorts. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThere has been a lack of consistent findings and even conflicting data among miRNA biomarker studies.
“Although the expression profiles of circulating miRNAs have been extensively studied under various disease conditions, it is noteworthy that there has been a lack of consistent finding and even conflicting data among miRNA biomarker studies16,20–22.”
From Intra- and Inter-individual Variability of microRNA Levels in Human Cerebrospinal Fluid: Critical Implications for Biomarker Discovery (2017) · cites this paper as [21]
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Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
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- Authors
- Moldovan, L., Batte, K. E., Trgovcich, J., Wisler, J., Marsh, C. B., & Piper, M.
- Affiliations
- The Ohio State University (US)
- Corresponding author
- Marsh, Clay B.
- Venue
- Journal of Cellular and Molecular Medicine
- Publisher
- Wiley
- Published
- 2014-02-18
- Volume
- 18
- Issue
- 3
- Pages
- 371-390
- ISSN
- 1582-1838 (ISSN-L)
- 1582-4934
- PMC
- PMC3943687
- OpenAlex
- W2092913756
- Cited by
- 436
- References
- 4
- Citations by year
- 2026: 23 · 2025: 34 · 2024: 16 · 2023: 18 · 2022: 40 · 2021: 29 · 2020: 47 · 2019: 40 · 2018: 44 · 2017: 43 · 2016: 55 · 2015: 35 · 2014: 12
- FWCI
- 4.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Cellular and Molecular Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- American Thoracic Society
- National Institutes of Health (UL1TR001070, NHLBI R01)
- U.S. Public Health Service (NHLBI R01 HL067176)
- National Heart, Lung, and Blood Institute (R01HL067176, R01HL109481, R01HL102464)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
- Keywords
- microRNA, circulating biomarkers, extracellular miRNAs, plasma, serum, miRNA expression profiling, cardiovascular disease, lung disease, diagnostic biomarkers, post-transcriptional regulation
- MeSH terms
- Animals, Humans, Biomarkers, Gene Expression Profiling, RNA Stability, MicroRNAs
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