Objective: To assess the effects of dextrose prolotherapy in patients with knee osteoarthritis on the levels of serum cartilage oligomeric proteinase and urinary C-terminal telopeptide of type II collagen, and on the Western Ontario McMaster Universities Index and numerical rating scale score for pain. Methods: A randomized controlled trial, in which participants were randomly allocated into 2 groups, receiving injections of either hyaluronic acid or dextrose prolotherapy. The hyaluronic acid group received 5 injections, 1 each on weeks 1, 2, 3, 4 and 5, and the dextrose prolotherapy group received 3 injections, 1 each on weeks 1, 5 and 9. Serum cartilage oligomeric proteinase, urinary C-terminal telopeptide of type II collagen, Western Ontario McMaster Universities Index score, and numerical rating scale score for pain were measured at baseline and 3 weeks after the last injection. Comparative analysis was conducted using Wilcoxon test within groups and analysis of covariance (ANCOVA) test between groups. Results: A total of 47 participants (21 allocated to hyaluronic acid, 26 allocated to dextrose prolotherapy) completed the protocol. Both interventions resulted in significant improvements in numerical rating scale scores for pain, total Western Ontario McMaster Universities Index scores, and its subscales score. However, the dextrose prolotherapy outperformed hyaluronic acid in numerical rating scale score for pain and level of urinary C-terminal telopeptide of type II collagen, with score changes differences of 0.93 (p?=?0.042) and 0.34 (p?=?0.048), respectively. No significant changes in level of serum cartilage oligomeric proteinase were found in either group. Conclusion: Dextrose prolotherapy is an alternative injection therapy for knee osteoarthritis, which was found to be associated with a significant reduction in urinary C-terminal telopeptide of type II collagen compared with hyaluronic acid injection. Neither injection method resulted in reduced serum cartilage oligomeric proteinase.

Introduction Stromal Vascular Fraction cells (SVFs) and Platelet Rich Plasma (PRP) are clinically proven to aid in cell regeneration and wound healing. The healing effects can be measured by the level of Epidermal Growth Factor (EGF). This study aims to investigate the effect of an SVFs and PRP combination on EGF levels in the anal trauma model. Method Twenty-eight adult Wistar rats were divided into 3 groups: Group A consisted of healthy rats as a normal control group; Group B and C underwent modified anal surgical trauma and repair. Group B was treated with saline only and Group C was treated with local injection of a combination of SVFs and PRP after anal surgical repair. The EGF level was subsequently assessed on days 1, 7, and 14. Results EGF levels were generally increased in Group C compared to Group B. A one-way ANOVA test result showed significantly increased EGF levels on days 7 (p = 0.038) and 14 (p = 0.018). Based on the linear regression test results, we found that local injection of PRP and SVFs after anal repair on an anal surgical trauma model can increase the EGF level in group C by 36.9% more than that of group B. Conclusion The combination of PRP and SVFs can increase the EGF level in the wound healing process of anal trauma. EGF is critical in the anal trauma healing process.

Objective:To analyze the role of cancer stem cells (CSC) in ovarian carcinogenesis through the identification of CD133 expression in the normal ovary (NO), serous cystadenoma (SC), borderline serous tumour (BST), lowgrade serous carcinoma (LGSC), and high-grade serous carcinoma (HGSC). Materials and methods: A total of 48 tissue samples contain 5 NO, 10 SC, 5 BST, 8 LGSC, and 20 HGSC were stained with anti-CD133 antibody by immunohistochemical protocol. The difference in the H-score of CD133 expression between groups and their relationship to age, histomorphology, and localization was analyzed. Results: CD133 expression varied among tumor groups, with clinicopathologic parameters showing diverse associations (age p = 0.773; histomorphology p = 0.001; and localization p = 0.026). The comparison of CD133 H-scores differed significantly between each group (p = 0.0031), in which precursor and malignant lesions possessed more robust CD133 expression. Conclusion: The presence of CD133 cellular expression and localization in different types of serous ovarian tumours suggests that these markers are involved in ovarian tumorigenesis.

Background: Obesity is strongly associated with atherogenic dyslipidemia phenotype and is an independent risk factor of cardiovascular disease (CVD). Besides body mass index (BMI), there are various obesity indices, namely waist circumference (WC) to detect central obesity, and percentage of body fat (%BF) using bioimpedance analysis (BIA) to detect peripheral-central obesity. The aim of this study is to determine which obesity index is better in predicting dyslipidemia. Methods:This cross-sectional study involved 99 professionally active doctors working at tertiary hospital, from January to March 2021. Obesity was measured by obesity indices such as BMI, WC, and %BF using BIA. After that, the serum lipid profile was then measured. Dyslipidemia is a disorder of lipoprotein metabolism, including lipoprotein overproduction or deficiency that may be manifested by high total cholesterol, low-density lipoprotein (LDL) cholesterol, triglycerides, and low high-density lipoprotein cholesterol (HDL) cholesterol. Results:Of the total 99 subjects, 49.5% were male, while 50.5% were female. The prevalence of obesity based on BMI, WC, and %BF using BIA was 57.6%, 74.8%, and 72.7%, respectively. Obesity based on BMI has 9.8 times the risk of having low HDL cholesterol levels (odds ratio (OR) = 9.814, 95% confidence interval (CI): 1.213 -79.379) and 4.6 times of having high triglycerides levels (OR = 4.618,). Meanwhile, central obesity based on WC has 3.1 times the risk of having high LDL cholesterol levels (OR = 3.100, 95% CI: 1.170 -8.218). On the contrary, the results of the analysis on obesity based on %BF on lipid profile were not significant.Conclusions: Obesity based on BMI and WC measurements are better than %BF in predicting dyslipidemia.