ReviewCurrent molecular medicine2026
Hemolysis Analysis and Hemolysis-related MicroRNA Candidates for Serum/Plasma Samples.
Review in Current molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
2 authors.
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Abstract
Hemolysis is a major challenge in the screening and validation of serum or plasma miRNA biomarkers for human diseases. Over the past decade, numerous studies have focused on hemolysis detection at both the pre-analytical and postanalytical stages to minimize bias in miRNA quantification. Both conventional and advanced hemolysis determination methods have played important roles in quality control in hemolysis assessment and risk prediction during the plasma or serum miRNA quantification process. This review discusses the advantages of these methods and provides an interactive summary of prior knowledge on hemolysissensitive miRNAs and their potential applications in disease diagnosis. Furthermore, the review highlights the advancements in machine learning technologies that enhance classifier predictions and hemolysis risk model evaluations, particularly during the post-analytical stage. Finally, it discusses the ongoing development, standardization, and potential applications of these approaches, which will contribute to a more comprehensive and interpretable framework for the discovery and validation of plasma or serum miRNA biomarkers.
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Registered trials
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.