Comparison of Hydrostatic Filtration Dialysis with Ultracentrifugation Methods for the Identification and Proteomic Profiling of Urinary Extracellular Vesicles.

BACKGROUND: Urinary extracellular vesicles (UEVs) carry rich markers of their parent cells, so they can serve as possible biomarkers of kidney diseases. METHODS: In this study, we isolated urinary extracellular vesicles from five individuals using a simple, clinically applicable method called hydrostatic filtration dialysis (HFD) and compared it to the gold-standard ultracentrifuga-tion (UC) with transmission electron microscopy (TEM). We also employed a proteomic approach using pooled human urine samples from the same five individuals to profile the protein composition of UEVs to evaluate the effectiveness of these two methods. RESULTS: Notably, using TEM, we found that all isolations contained 0 - 400 nm vesicles with the traditionally reported morphology, although the TEM results showed that the UEVs isolated from HFD compared to those from UC are larger and more extensive. We obtained a total of 2,564 UEV proteins in the two methods. We showed a large overlap (2,185 > 85%) between the proteins identified by both isolation methods. The result also showed that the obtained proteins in extracellular vesicles, which are isolated with these methods, are consistent with the results in currently available databases. However, in the associated gene ontologies, the enriched proteins found by the two methods showed some differences. CONCLUSIONS: The HFD method is clinically feasible and allows large-scale protein profiling of UEV biomarkers. The results of this study also provide valuable UEV protein data from the methodological comparison, which might be valuable to other researchers.

Visceral Adiposity Index and Chronic Kidney Disease in a Non-Diabetic Population: A Cross-Sectional Study.

PURPOSE: To investigate the correlation between visceral obesity and pathogenesis of chronic kidney disease (CKD) among non-diabetic individuals, and to evaluate the potential of visceral adiposity index (VAI) as a predictor of CKD. PATIENTS AND METHODS: From December 2017 to March 2018, 1877 non-diabetic participants (male n=699, female n=1208) in southern China were recruited for a cross-sectional survey. Males and females were divided into four groups according to gender-specific quartiles of VAI scores. A logistic regression model was established to analyze the correlation between visceral adiposity index and CKD. RESULTS: Visceral adiposity index was positively correlated with CKD and was negatively associated with estimated glomerular filtration rate (eGFR). Using group one as the control, odds ratios (ORs) were calculated to determine the risk of developing CKD as VAI increased (male: group four 2.73 [P<0.005]; female: Group three 1.76 [P<0.05], Group four 2.88 [P<0.005]). When related factors such as history of hypertension, smoking, alcohol use, and physical inactivity were normalized in the logistic model before calculation, ORs became 2.73 (male: P<0.05), and 2.18 (female: P<0.05), respectively. The results differed after normalizing further for systolic blood pressure (SBP), diastolic blood pressure (DBP), hypersensitive c-reactive protein (hsCRP), interleukin-6 (IL-6), homocysteine (Hcy), superoxide dismutase (SOD), and retinol-binding protein (RBP). There were no significant differences in ORs among the female groups. CONCLUSION: Visceral adiposity index was significantly associated with CKD in non-diabetic individuals. It may be a good predictor of the pathogenesis of CKD and was dependent on hsCRP, IL-6, Hcy, SOD, RBP, and blood pressure levels in females and males with VAI scores of 1.41 and higher. Visceral adiposity index may be used to predict CKD in males with VAI less than 0.983.

Lymphocyte To High-Density Lipoprotein Ratio As A New Indicator Of Inflammation And Metabolic Syndrome.

PURPOSE: Metabolic syndrome (MetS), which is a global public health problem, is a state of chronic low-grade inflammation. This study looked at the changes in hematological parameters and the predictive value of the lymphocyte to high-density lipoprotein cholesterol (HDL-C) ratio (LHR) as a new index in subjects with and without MetS in coastal cities in southern China. PATIENTS AND METHODS: In this cross-sectional study, there were 852 participants (n = 598 with MetS and n = 254 without MetS). MetS was defined in accordance with the National Cholesterol Education Program, Adult Treatment Panel III (NCEP-ATP III) criteria. RESULTS: MetS was positively correlated with white blood cell count, total lymphocyte count, neutrophil count, red blood cell count, hematocrit, hemoglobin, and high-sensitivity C-reactive protein levels (p<0.05). In addition, there was a positive correlation between LHR and the number of metabolic risk factors for MetS. In a logistic regression analysis, LHR (odds ratio: 4.117; 95% CI: 2.766-6.309; p<0.001) was an independent predictor of MetS. When a receiver operating characteristic (ROC) curve analysis was used to assess the value of LHR for predicting MetS, the area under the curve yielded a cut-off value of 1.657, with a sensitivity of 65% and a specificity of 64% (p<0.0001). CONCLUSION: In summary, MetS can involve changes in blood parameters, and LHR may be a useful marker of inflammation to assess the presence and severity of MetS.