High GNG13 expression is associated with poor survival in epithelial ovarian cancer and breast cancer.

Recently, change in the GNG13 expression has been shown to result in multiple congenital malformations and sexual reversal, and it was also found in the brain. The aim of this study was to measure the expression levels in epithelial ovarian cancer (EOC) and breast cancer (BC) and assess their value as a potential prognostic marker. The correlation of GNG13 protein expression was detected by immunohistochemistry (IHC) in 119 EOC and 125 BC tissues. Assessment of the associations between GNG13 levels and various clinicopathological features was identified, the relationship between GNG13 and prognosis in BC and EOC patients was analyzed using online resources of Oncomine and Kaplan-Meier plotter. Protein expression levels of GNG13 were both significantly lower in BC and EOC compared with normal tissues (p<0.0001 and p<0.001, respectively). Among the clinicopathological characteristics of BC, tumor grade (p=0.001) and TNM stage (p=0.001) were significantly associated with low expression of GNG13. While in EOC, low expression of GNG13 was significantly related to FIGO stage (p=0.001), presence of metastasis (p=0.001), and CA125 (p=0.001). Our data suggest that GNG13 expression maybe as a new inhibitor, which can strongly inhibit metastasis and partially attenuates tumor growth in EOC and BC.

Ruminococcaceae_UCG-013 Promotes Obesity Resistance in Mice.

Alterations in the gut microbiome have been linked to obesity and type 2 diabetes, in epidemiologic studies and studies of fecal transfer effects in germ-free mice. Here, we aimed to identify the effects of specific gut microbes on the phenotype of mice fed a high-fat diet (HFD). After eight weeks of HFD feeding, male C57BL/6J mice in the HFD group ranking in the upper and lower quartiles for body weight gain were considered obese prone and obese resistant, respectively. 16S rRNA gene sequencing was used to determine the composition of the intestinal microbiota, and fecal transplantation (FMT) was conducted to determine whether the microbiota plays a causal role in phenotypic variation. Ruminococcaceae_UCG-013 was more abundant in the gut microbes of mice with a lean phenotype than in those with an obese phenotype. Ruminococcaceae_UCG-013 was identified as the most significant biomarker for alleviating obesity by random forest analysis. In a correlation analysis of serum parameters and body weight, Ruminococcaceae_UCG-013 was positively associated with serum HDL-C levels and negatively associated with serum TC, TG, and LDL-C levels. To conclude, Ruminococcaceae_UCG-013 was identified as a novel microbiome biomarker for obesity resistance, which may serve as a basis for understanding the critical gut microbes responsible for obesity resistance. Ruminococcaceae_UCG-013 may serve as a target for microbiome-based diagnoses and treatments in the future.

Monitor for lactate in perspiration.

Sweat is a noninvasive biological fluid on the surface of human skin and has attracted increasing attention as a diagnostic specimen for disease and biomarker detection. Sweat metabolite quantification is possible due to progress in sweat analysis techniques; nevertheless, the role of sweat monitoring in energy metabolism, physiological or pathological state assessment, health status assessment, and the development and outcome of metabolism-related diseases remains unclear. This review provides a comprehensive overview of the literature on human sweat lactate concentration. The first, second, and third sections of this review present an introduction of sweat lactate, methods for the collection and storage of sweat lactate samples, and methods of detection and analysis of sweat lactate, respectively. The fourth section elaborates upon the current state of clinical application of sweat lactate monitoring and its prospects for health surveillance. The last section focuses on the challenges and future directions of this novel technology for detecting lactate in sweat.