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Polycystic ovary syndrome (PCOS) was known as the common endocrine disease in women, featured as hyperandrogenism, ovulation disorders, etc. Fat mass and obesity-associated protein (FTO), a m6A demethylase, is abnormal in the occurrence of ovarian diseases. However, the mechanism of FTO in the pathogenesis of PCOS is still unclear. The level of FTO in clinical samples, PCOS rat with hyperandrogenism and granulosa cells (GCs) lines effected by DHT were investigated by ELISA, qRT-PCR, WB, and IHC, while m6A RNA methylation level was studied by m6A Colorimetric and androgen level was tested through ELISA. Changes in steroid hormone synthetase and androgen receptor (AR)/prostate-specific antigen (PSA) levels in vitro were visualized by WB after transient transfection silenced FTO. The effect of DHT combined with FTO inhibitor meclofenamic acid (MA) on FTO, AR/PSA, and AKT phosphorylation were also demonstrated by WB. The co-localization of FTO and AR in KGN cells was analyzed by confocal microscopy, and the physiological interaction between FTO and AR was studied by Co-IP assay. The effect of FTO-specific inhibitor MA, AKT phosphorylation inhibitor LY294002, and the combined them on GCs proliferation and cell cycle were evaluated by drug combination index, EDU assay, and flow cytometry analysis. FTO expression was upregulated in follicular fluid and GCs in PCOS patients clinically. The high FTO expression in patients was negative with the level of m6A, but positive with the level of androgen. The upregulation of FTO was accompanied with a decrease in the level of m6A in PCOS rat with hyperandrogenism. Dihydrotestosterone (DHT) promoted the FTO expression and inhibited m6A content as a dose-dependent way in vitro. In contrast, suppression of FTO with siRNA attenuated the expression of steroid hormone synthetase such as CYP11A1, CYP17A1, HSD11B1, HSD3B2 except CYP19A1 synthetase, ultimately inducing the decrease of androgen level. Suppression of FTO also decreased the biological activity of androgen through downregulation AR/PSA. MA treatment as the specific FTO antagonist decreased cell survival in time- and dose-dependent way in GCs lines. Correspondingly, MA treatment decreased the expression of FTO, AR/PSA expression, and AKT phosphorylation in the presence of DHT stimulation. Additionally, we also speculate there is a potential relation between FTO and AR according to FTO was co-localized and interacted with AR in KGN cells. Compared with AKT phosphorylation inhibitor LY294002 or MA alone, LY294002 combined with MA synergistically inhibited cell survival and increased G2/M phase arrest in GC line. We first evaluated the correlation of FTO and m6A in PCOS clinically, and further explored the mechanism between FTO and hyperandrogenism in PCOS animal and cell models. These findings contributed the potential therapy by targeting the FTO for hyperandrogenism in PCOS. [ABSTRACT FROM AUTHOR]

A new edible coating was developed based on pectin and honey at various ratios with or without blanching pretreatment, which was done by an emerging thermal technology. The results showed that the water activity and the total bacterial count were the lowest in samples coated by a combination of pectin + honey as compared with the control group, indicating the former's effectiveness in improving the storage of dried fruit. The antioxidant properties of the dried pineapple samples were increased after coating. As for furaneol, results indicated similar quantitative data between all coated samples and the control. Furthermore, it was found that blanching could maintain the color of the fresh product and improve the antioxidative activity but reduce its yellowness when exposed to drying. In conclusion, this new edible coating approach could keep the flavor, color, texture, and also increase the antioxidant and antibacterial activities. Furthermore, this study is the first research combining edible coating with electrical blanching on fruit processing. Novelty impact statement: Coating pectin and honey could extend shelf life and keep quality of fruit.Combined group of coating polysaccharide and electrical blanching had a better impact than coating polysaccharide‐only group.Pretreatments of coating polysaccharide and electrical blanching showed great potential in fruit processing. [ABSTRACT FROM AUTHOR]

Pancreatic adenocarcinoma (PAAD) is a malignant tumor with one of the highest associated mortality rates worldwide, and a 5-year survival rate of <5%. Fibroblast growth factors (FGFs) serve important roles in numerous cellular functions, and dysregulation of FGFs contributes to various cancer types. However, there are few reports on the function of FGFs in PAAD. The Assistant for Clinical Bioinformatics database, Gene Expression Profiling Interactive Analysis, Kaplan-Meier plotter and Tumor Immune Estimation Resource were utilized to perform the protein-protein interaction network, functional enrichment, univariate Cox regression, least absolute shrinkage and selection operator (LASSO) Cox, differential expression, prognostic value and immune cell infiltration analyses of FGFs in patients with PAAD. Immunohistochemistry (IHC) was used to verify the predictive value of the model. A total of 22 FGF genes were identified. Based on the results of LASSO Cox regression analysis, a total of six genes, including FGF2, FGF8, FGF9, FGF13, FGF17 and FGF22, were selected for the establishment of the prognostic gene signature. High transcriptional levels of FGF17 and FGF22 were significantly associated with long overall survival. The expression of FGFs was associated with the infiltration of various immune cells. According to univariate and multivariate analyses, FGF2 and FGF8 may be useful independent prognostic biomarkers for the prognosis of patients with PAAD. IHC demonstrated that FGF2 and FGF8 were more highly expressed in PAAD tissues compared with that in normal tissues. The present findings offer a novel understanding for the selection of FGF prognostic biomarkers in PAAD. [ABSTRACT FROM AUTHOR]

Focusing on the problem of high efficiency resource scheduling in cloud computing environment, since current re source scheduling algorithm had been less given consideration to the shortest completion time and the least cost of the services, this paper designed the fitness function which could comprehensive response the time and cost, and proposed an estimation of distribution-shuffled frog leaping algorithm (EDSFLA). This algorithm redefined the evolutional operators of shuffled frog lea ping algorithm (SFLA), utilizing the cross operators of genetic algorithm, targeted in applying to scheduling problem with integer-coded. EDSFLA introduced evolutionary strategy of estimation of distribution to break the confine of search pattern in the standard SFLA, ad made the learning ability of this algorithm more comprehensive. Experimental results show that this algorithm has more capability in convergence and searching ability compared with the standard SFLA and EDA in solving cloud resource scheduling problems. [ABSTRACT FROM AUTHOR]