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Analysis of Neat Biofluids Obtained During Cardiac Surgery Using Nanoparticle Tracking Analysis: Methodological
Andrew I U Shearn1, Sezin Aday1, Soumaya Ben-Aicha2
1Bristol Heart Institute, Bristol Royal Infirmary, University of Bristol, Bristol, United Kingdom.
Frontiers in Cell and Developmental Biology
|June 13, 2020
Summary
Nanoparticle tracking analysis (NTA) for quantifying small extracellular vesicles (sEVs) requires careful sample handling and consistent protocols. Optimizing parameters like lipoprotein contamination and freeze-thaw cycles is crucial for reliable sEV biomarker discovery.
Area of Science:
- Biotechnology
- Nanomedicine
- Biomarker Discovery
Background:
- Small extracellular vesicles (sEVs) are key in cell signaling and disease diagnostics.
- Nanoparticle tracking analysis (NTA) is a common method for sEV quantification in biofluids.
- NTA accuracy can be compromised by sample handling, machine settings, and lipoprotein interference.
Purpose of the Study:
- To provide methodological insights into NTA measurements for sEVs.
- To investigate factors affecting the reliability and repeatability of NTA in biofluid analysis.
- To identify critical parameters for accurate sEV quantification in clinical applications.
Main Methods:
- Systematic investigation of NTA parameters using human serum and pericardial fluid.
- Analysis of variables including lipoprotein contamination, freeze-thaw cycles, filtration, diluents, video length, and particle count.
- Comparison of critical versus less critical NTA settings.
Main Results:
- Lipoprotein contamination, freeze-thaw cycles, filtration, diluents, and video length significantly impact NTA results.
- Focus and "Maximum Jump" settings are less critical if appropriate, but multiple videos are recommended.
- Consistent protocols are essential for reproducible sEV quantification.
Conclusions:
- NTA is a valuable, though perfectible, tool for sEV analysis.
- Robust and consistent sample handling protocols are vital for reliable sEV quantification.
- Standardized NTA methods can facilitate the development of clinical biomarkers for cardiovascular disease.
Keywords:
NTA (nanoparticle tracking analysis)cardiac surgeryexosomal biomarkersexosome (vesicle)nanopartcicles
