High-oleic acid peanut oil (HOPO) and extra-virgin olive oil (EVOO) have been reported previously to have an attenuating effect on metabolic syndrome (MS).  This study aimed to evaluate the metabolic effect of HOPO and EVOO supplementation in attenuating MS and the role of gut microbiota in regulating the metabolic profile.  Sprague-Dawley rats were continuously fed with a normal diet, high-fructose and high-fat (HFHF) diet, HFHF diet containing HOPO, or a HFHF diet containing EVOO for 12 weeks.  The metabolomics profiles of feces and serum samples were compared using untargeted metabolomics based on UPLC-Q/TOF-MS.  Partial Least Squares Discriminant Analysis (PLS-DA) was used to identify the potential fecal and serum biomarkers from different groups.  Correlation between gut microbiota and biomarkers was assessed, and pathway analysis of serum biomarkers was conducted.  Differences in metabolic patterns in feces and serum were observed among different groups.  There were 8 and 12 potential biomarkers in feces and 15 and 6 potential biomarkers in serum of HOPO group and EVOO group, respectively, suggesting that HOPO and EVOO supplementation mainly altered amino acids, peptides, and their analogs in feces and serum.  The branched-chain amino acids (BCAAs) biosynthesis pathway was identified as a major pathway regulated by HOPO or EVOO.  This study suggests that HOPO and EVOO supplementation ameliorate diet-induced MS, mainly via modulation of the BCAAs biosynthesis pathway.

Combined with remote sensing data and meteorological data, cold damage risk was assessed for planting area of double cropping rice (DCR) in Hunan Province, China. A new methodology of cold damage risk assessment was built that apply to grid and have clear hazard-affected body. Each station cold damage annual frequency and average annual intensity of cold damage was calculated by using 1951-2010 station daily mean temperature and simple cold damage identification index. On this basis, average annual cold damage risk index was obtained by their product. The spatial analysis models of cold damage risk index about double-season early rice (DSER) and double-season later rice (DSLR) were established respectively by the relation of average annual cold damage risk index and its geographic factors. Critical threshold of level of average annual cold damage risk index for DSER and DSLR were respectively divided by the correlative equation of cold damage annual frequency and average annual intensity of cold damage. 2001-2010 planting area of DCR, acquired by time series analysis of MOD09A1 8-d composite land surface reflectance product, was as target of assessment. The results show average annual intensity of cold damage is exponential function of cold damage annual frequency, average annual cold damage risk index is directly proportional to cold damage cumulant and cold damage annual frequency, and is inversely proportional to happen times of cold damage and the square of statistical time sequence length. Cold damage risk of DSER is higher than DSLR in Hunan Province. In the 10-yr stacking map, DCR planting in low risk area accounted for 11.92% of total extraction area, in moderate risk area accounted for 69.62%, in high risk area accounted for 18.46%. According to the cold damage risk assessment result, DCR production can be guided to reduce cold damage losses.