Potential Utilisation of Secretome from Ascorbic Acid-Supplemented Stem Cells in Combating Skin Aging: Systematic Review of A Novel Idea.

The secretome of stem cells consists of a spectrum of bioactive factors secreted by stem cells grown in culture mediacytokines, chemokines, and growth factors in addition to extracellular vesicles (exosomes and microvesicles). Ease of handling and storage of secretomes along with their bioactivity towards processes in skin aging and customizability makes them an appealing prospective therapy for skin aging. This systematic review aims to investigate the potential usage of ascorbic acid (AA)-supplemented stem cell secretomes (SCS) in managing skin aging. We extracted articles from three databases: PubMed, Scopus, and Cochrane. This review includes in vitro, in vivo, and clinical studies published in English that discuss the correlation of AA-supplemented-SCS with skin aging. We identified 1111 articles from database and non-database sources from which nine studies met the inclusion criteria. However, the study results were less specific due to the limited amount of available research that specifically assessed the effects of AAsupplemented SCS in skin aging. Although further studies are necessary, the AA modification of SCS is a promising potential for improving skin health.

Distinctive Microbiome Type Distribution in a Young Adult Balinese Cohort May Reflect Environmental Changes Associated with Modernization.

An important public health question is understanding how changes in human environments can drive changes in the gut microbiota that influence risks associated with human health and wellbeing. It is well-documented that the modernization of societies is strongly correlated with intergenerational change in the frequency of nutrition-related chronic diseases in which microbial dysbiosis is implicated. The population of Bali, Indonesia, is well-positioned to study the interconnection between a changing food environment and microbiome patterns in its early stages, because of a recent history of modernization. Here, we characterize the fecal microbiota and diet history of the young adult women in Bali, Indonesia (n = 41) in order to compare microbial patterns in this generation with those of other populations with different histories of a modern food environment (industrialized supply chain). We found strong support for two distinct fecal microbiota community types in our study cohort at similar frequency: a Prevotella-rich (Type-P) and a Bacteroides-rich (Type-B) community (p < 0.001, analysis of similarity, Wilcoxon test). Although Type-P individuals had lower alpha diversity (p < 0.001, Shannon) and higher incidence of obesity, multivariate analyses with diet data showed that community types significantly influenced associations with BMI. In a multi-country dataset (n = 257), we confirmed that microbial beta diversity across subsistent and industrial populations was significantly associated with Prevotella and Bacteroides abundance (p < 0.001, generalized additive model) and that the prevalence of community types differs between societies. The young adult Balinese microbiota was distinctive in having an equal prevalence of two community types. Collectively, our study showed that the incorporation of community types as an explanatory factor into study design or modeling improved the ability to identify microbiome associations with diet and health metrics.

The Comparison of Simple Anthropometric and Biochemical Parameters for Predicting Liver Steatosis in Obese Balinese Young Women.

BACKGROUND: The prevalence of non-alcoholic fatty liver disease (NAFLD) is increasing globally. Early identification of liver steatosis (LS) status is critical to prevent the development of NAFLD into non-alcoholic steatohepatitis (NASH) fibrosis. AIM: This study aimed at exploring the validity of simple anthropometric and biochemical parameters to predict LS in young obese women. MATERIALS AND METHODS: This is a cross-sectional study involving 132 young obese women. We collected the data of measured waist circumference (WC), body mass index (BMI), serum triglyceride (TG), and gamma-glutamyltransferase (GGT). The lipid accumulation product (LAP) was designed from TG and WC variables. Fatty liver index (FLI) was calculated from TG, BMI, WC, and GGT variables. LS status was measured using ultrasonography assay. Statistical significance was set at p < 0.05. RESULTS: A positive correlation was found between BMI, WC, TG, GGT, LAP, FLI, and LS (p = 0.001). We found that BMI is a better predictor for LS to WC. Our multiple linear regression analysis revealed that BMI, GGT, and TG could predict 41.4% of LS. The validity (specificity, sensitivity, and odds ratio) of simple body fat parameters in predicting LS were as follows: BMI ≥ 30 kg/m2 (69.6%, 74.4%, and 6.21), WC ≥ 90 cm (67.4%, 70.0%, and 4.28), TG ≥ 100 mg/dL (70.6%, 70.0%, and 5.62) and GGT ≥ 20 µg/L (69.6%, 77.5%, and 7.87), as well as LAP ≥ 30 (82.6%, 70.0%, and 11.1), and FLI ≥ 2.5 (79.3%, 72.5%, and 10.1), significantly. CONCLUSION: Simple anthropometric and biochemical parameters (BMI, WC, and TG, GGT), are appropriately predicting LS as well as LAP, and FLI among obese Balinese young women.