intact exosome separation technology  (Exosome Diagnostics)

Journal: Journal of Nanobiotechnology

Article Title: Non-invasive profiling of exosomal miRNA and protein biomarkers from vaginal discharge for the early detection of preterm labor

doi: 10.1186/s12951-026-04277-6

Figure Lengend Snippet: Overview of the analysis of small extracellular vesicles (sEVs) from the vaginal discharge of pregnant women for the diagnosis of preterm labor. ( A ) Illustration of preterm labor indicating symptoms such as regular contractions, abdominal pain, and changes in vaginal discharge (VD). ( B ) Collection of VD using a swab from pregnant women with asymptomatic term birth (TB) and patients with preterm labor (PTL). ( C ) Isolation of sEVs using the biologically intact exosome separation technology (BEST). ( D ) Analysis of exosomal proteins and miRNAs to identify potential biomarkers for diagnosing preterm labor. ( E ) Particle concentration and size distribution of VD-derived sEVs from TB and PTL measured by nanoparticle tracking analysis. ( F ) Comparison of particle size distributions before and after isolation of sEVs. VD Prep., pretreated vaginal discharge; VD-exo Precipitation, sEVs isolated using the precipitation method from VD Prep.; VD-exo BEST, sEVs isolated using the BEST method from VD Prep. The peaks in size were marked after normalization. ( G ) Concentration of 30–200 nm particles, corresponding to the exosome-enriched population, measured in TB and PTL samples for VD Prep., VD-exo Precipitation, and VD-exo BEST. This analysis was performed to compare particle characteristics across different isolation methods. ( H ) Total protein concentration in TB and PTL samples. Data are presented as mean ± standard error. P- values indicate statistical significance across the isolation methods, analyzed by paired t-test

Article Snippet: The resulting supernatant was then used for isolating sEVs derived from vaginal discharge using the precipitation method and Biologically intact Exosome Separation Technology (BEST) [ ], as depicted in Supplementary Fig. 1B and C. BEST is a microfluidics-based EV isolation platform that enables selective separation of exosome-enriched EVs under mild flow conditions without relying on externally applied physical forces such as ultracentrifugation or high-pressure filtration.

Techniques: Biomarker Discovery, Isolation, Concentration Assay, Derivative Assay, Comparison, Protein Concentration

Journal: Journal of Nanobiotechnology

Article Title: Non-invasive profiling of exosomal miRNA and protein biomarkers from vaginal discharge for the early detection of preterm labor

doi: 10.1186/s12951-026-04277-6

Figure Lengend Snippet: Comparative analysis of protein expression in TB and PTL using different isolation methods. ( A ) Venn diagram displaying the overlap of differentially expressed proteins identified in VD-exo BEST and VD-exo Precipitation from TB and PTL samples. Numbers represent the unique and shared proteins among the groups. ( B ) The PCA plot with 95% confidence ellipse displaying the separation of protein expression profiles among VD Prep., VD-exo BEST, and VD-exo Precipitation from TB and PTL samples. The first two principal components (PC1 and PC2) explain 19.1% and 15.3% of the variance, respectively. ( C ) Heatmap showing the expression levels of significantly differentially expressed proteins across VD Prep., VD-exo Precipitation, and VD-exo BEST for TB and PTL. ( D )–( F ) Volcano plots depicting the differential expression of proteins in PTL compared to TB for ( D ) VD Prep., ( E ) VD-exo Precipitation, and ( F ) VD-exo BEST. Proteins significantly up-regulated in PTL are shown in red, significantly down-regulated proteins in green, and non-significant changes in blue. Selected proteins of interest (HGS, ATL3, APOH, and GUSB) are highlighted and labeled. HGS, hepatocyte growth factor-regulated tyrosine kinase substrate; ATL3, atlastin-3; APOH, apolipoprotein H or beta-2-glycoprotein 1; GUSB, beta-glucuronidase

Article Snippet: The resulting supernatant was then used for isolating sEVs derived from vaginal discharge using the precipitation method and Biologically intact Exosome Separation Technology (BEST) [ ], as depicted in Supplementary Fig. 1B and C. BEST is a microfluidics-based EV isolation platform that enables selective separation of exosome-enriched EVs under mild flow conditions without relying on externally applied physical forces such as ultracentrifugation or high-pressure filtration.

Techniques: Expressing, Isolation, Quantitative Proteomics, Labeling