Effect on serum metabolomics of rats with premature ovarian insufficiency by Zhibian (BL54) through Shuidao (ST28) acupuncture.

OBJECTIVE: To analyze the serum metabolic targets of the "Zhibian (BL54) through Shuidao (ST28)" acupuncture technique in cyclophosphamide (CTX)-induced premature ovarian insufficiency (POI) model rats and to elucidate the potential molecular mechanism of acupuncture in improving POI. METHODS: We used an intraperitoneal injection of CTX to establish the POI rat model (POI group) and compared serum hormone levels and ovarian histopathological changes to evaluate the effect of the Zhibian (BL54) through Shuidao (ST28) technique (ZS + POI group) on ovarian function. Then, nontargeted metabolomics was performed using rat serum by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS). RESULTS: After acupuncture intervention, the serum hormone levels and ovarian pathological morphology of POI rats were effectively improved. Moreover, UPLC-Q-TOF/MS results showed that the ZS + POI group showed a significant reversal of the levels of 6 differential metabolites. Among them, the levels of four serum metabolic markers, divanillyltetrahydrofuran ferulate, trans-ferulic acid, tryptamine, and neuraminic acid, increased significantly. Further analysis of biological effects showed that all metabolites were involved in the regulation of reproductive hormone levels and antioxidant and antiapoptotic effects. CONCLUSIONS: The "Zhibian (BL54) through Shuidao (ST28)" acupuncture method may improve the ovarian function of POI rats by regulating serum metabolite markers to exert antioxidant and antiapoptotic effects, which provides a theoretical basis for the clinical application of acupuncture in the treatment of POI.

Exploring the oral-gut microbiota during thyroid cancer: Factors affecting the thyroid functions and cancer development.

Thyroid cancer (TC) is categorized into papillary, follicular, medullary, and anaplastic. The TC is increasing in several countries, including China, the United States, the United Kingdom, Canada, France, Australia, Germany, Japan, Spain, and Italy. Thus, this review comprehensively covers the factors that affect thyroid gland function, TC types, risk factors, and symptoms. Lifestyle factors (such as nutrient consumption and smoking) and pollutants (such as chemicals and heavy metals) increased the thyroid-stimulating hormone (TSH) levels which are directly related to TC prevalence. The conventional and recent TC treatments are also highlighted. The role of the oral and gut microbiota as well as the application of probiotics on TC are also discussed. The variations in the composition of oral and gut microbes influence the thyroid function indirectly through alteration in metabolites (such as short-chain fatty acids) that are eminent for cellular energy metabolism. Maintenance of healthy gut and oral microbiota can help in regulating thyroid function by regulating iodine uptake. Oral or gut microbial dysbiosis can be considered as an early diagnosis factor or TC marker. High TSH during TC can increase the oral microbial diversity while disrupting the high ratio of Firmicutes and Bacteroidetes in the gut. Supplementation of probiotics as an adjuvant in TC treatment is beneficial. However, needs more extensive research to explore the direct effect of probiotics on thyroid function.

Predictive value of the red blood cell distribution width-to-platelet ratio for hepatic fibrosis.

AIMS: The red blood cell distribution width-to-platelet ratio (RPR) has been reported to be an indicator of hepatic fibrosis in patients with chronic hepatitis B (HBV), nonalcoholic fatty liver disease (NAFLD) or chronic hepatitis C (HCV). However, no research has explored the RPR in all patients with hepatic fibrosis. There is a recognized need to establish whether the RPR could assess hepatic fibrosis and reflect the severity of fibrosis, regardless of the patient's etiology. METHODS: Quantitative data from 1282 patients who underwent liver biopsy between January 2010 and December 2014 at the Second Affiliated Hospital of Zhejiang University School of Medicine were included. The etiologies included HBV or HCV infection, NAFLD, schistosomiasis, granulomatous liver disease, and vascular abnormalities. Five noninvasive models were calculated for all patients based on laboratory parameters. The degrees of fibrosis severity were evaluated based on the Metavir scoring scale. RESULTS: The RPR demonstrated the best accuracy of predicting hepatic fibrosis among the selected five models (0.75, p < .001) regardless of etiology. In addition, the RPR values increased with advanced hepatic fibrosis progression. Furthermore, combining the RPR with the white blood cell (WBC) count improved the accuracy of grading hepatic fibrosis as reflected by the likelihood ratio (LR + 9.03, LR - 0.49). CONCLUSION: The RPR is a useful indicator for hepatic fibrosis, regardless of etiology, and can reflect the severity of fibrosis. This study supports further clinical development of the RPR both in a stepwise manner or in combination with inflammatory parameters to improve the accuracy of scoring hepatic fibrosis.

MicroRNA-524-5p Functions as a Tumor Suppressor in a Human Pituitary Tumor-Derived Cell Line.

Clinical nonfunctional pituitary adenomas (NFAs) account for about 40% of pituitary adenomas with almost no clinically relevant hormonal symptoms. Increasing evidence shows that many microRNAs are involved in the development and progression of pituitary adenomas. MicroRNA-524-5p (miR-524-5p) has been reported to cause characteristic alterations in various tumors. However, the functional importance of miR-524-5p in NFAs remains unknown. The aim of this study was to explore the effects of overexpressing miR-524-5p on the proliferation, migration, invasion, and tumorigenicity of pituitary-derived folliculostellate (PDFS) cells using lentiviral transfection. Interestingly, the results showed that overexpressing miR-524-5p downregulated pituitary tumor-transforming gene 1 (PTTG1) binding factor (PBF) expression at both mRNA and protein levels and significantly attenuated cell proliferation, clonogenicity, migration, and invasion in vitro. Moreover, enhancing miR-524-5p blocked tumor growth in a nude mouse xenograft model in vivo. These findings suggest that miR-524-5p appears to play a critical role in the regulation of biological properties of PDFS cells, and may represent a potential therapeutic target for NFAs.

Single Image Super-Resolution Using Gaussian Process Regression With Dictionary-Based Sampling and Student- ${t}$ Likelihood.

Gaussian process regression (GPR) is an effective statistical learning method for modeling non-linear mapping from an observed space to an expected latent space. When applying it to example learning-based super-resolution (SR), two outstanding issues remain. One is its high computational complexity restricts SR application when a large data set is available for learning task. The other is that the commonly used Gaussian likelihood in GPR is incompatible with the true observation model for SR reconstruction. To alleviate the above two issues, we propose a GPR-based SR method by using dictionary-based sampling (DbS) and student-t likelihood. Considering that dictionary atoms effectively span the original training sample space, we adopt a DbS strategy by combining all the neighborhood samples of each atom into a compact representative training subset so as to reduce the computational complexity. Based on statistical tests, we statistically validate that student-t likelihood is more suitable to build the observation model for the SR problem. Extensive experimental results show that the proposed method outperforms other competitors and produces more pleasing details in texture regions.

Marburg virus-like particles produced in insect cells induce neutralizing antibodies in rhesus macaques.

Marburg virus (MARV), which is one of the most virulent agents in the world, causes lethal haemorrhagic fever in humans and nonhuman primates (NHPs) with a mortality rate of up to 90%. Currently, there is no effective treatment or approved vaccine for MARV for human use to control disease outbreak and spread. Virus-like particles (VLPs), which are morphologically identical to the native infectious virus particle, are efficacious as vaccines against many viruses, including human papilloma virus (HPV), porcine circovirus (PCV) type 2 and hepatitis B virus (HBV). In this study, we generated MARV virus-like particles (VLPs) by co-expressing a glycoprotein (GP) and matrix protein (VP40) using the baculovirus expression system. Rhesus macaques vaccinated with MARV VLPs mixed with adjuvant Poria cocos polysaccharides (PCP-II) produced a GP-specific IgG titer of up to 1:1280 and virus-neutralizing antibody titers that reached 1:320. MARV VLPs also elicited interferon-γ (IFN-γ) and interleukin-4 (IL-4) secretion associated with T-helper 1 cell (Th1)- and T-helper 2 cell (Th2)-mediated immunity, as detected using enzyme-linked immunospot (ELISpot) assays. These data indicate that MARV VLPs mixed with adjuvant PCP-II have excellent immunogenicity in rhesus macaques and may be a promising candidate vaccine against MARV.

Correlation between standardized death rate for area and LA(50).

In order to investigate the relationship between standardized death rate for area and 50% mortality rate for burn area (LA(50)), correlation analysis, curve estimation and linear regression were performed with the variables. The results showed that: (1) there was a similarity in sort order of standardized death rate in control groups of samples, compared with the experimental group; (2) there were significant differences between the sort order from low to high mortality rate of standardized death rate in control groups for burn area, compared with the sort order in the experimental group; (3) there was a similarity (P<0.05) in low to high sort order for standardized death rate compared with high to low sort order for LA(50) in the experimental group; and (4) there was an extraordinarily significant correlation (P<0.0001) between linear regression analysis and curve estimation for the standardized death rate and LA(50) using a Pearson correlation. The observation that there was a significant relation between the sort orders in standardized death rate and LA(50) shows that the standardized death rate for area can reflect accurately mortality in each of samples.