The Effect of Foods Containing Refined Konjac Meal on Human Lipid Metabolism

A total of 110 elderly people with hyperlipidemia were randomly assigned to one of two groups. The experimental group consumed an ordinary diet plus foods containing refined Konjac meal, and the control group consumed only the ordinary diet. The experiment was carried out for 45 days. The results indicate that for the experimental group blood levels of triglyeendes (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) were significantly lowered (P < 0.01) at the end of the trial, whereas high-density lipoprotein cholesterol (HDL-C) and apoprotein (Al) levels were significantly elevated (P<0.01). In contrast, for the control group, the changes in the above parameters were insignificant. The differences in TC. TG, LDL-C, and HDL-C levels between the two groups were statistically significant. The effects of refined Konjac meal on lipid levels in the blood were somewhat different between patients with hyperlipidemia and subjects with risk critical values only. For the former, TG and TC were decreased by 83.8±133.5 mg/dl, and 42.4±23.4 mg/dl. respectively: but for the latter, they are decreased only by -1.1±23.1 mg/dl and 8.3± 18.2 mg/dl, respectively; the difference mentioned above is Statistically significant (P<0.01). 1990 Academic Press. Inc.

DBLiPro:A Database for Lipids and Proteins in Human Lipid Metabolism

To help researchers in the field of biology,medicine,chemistry,and materials science to use lipidomic data conveniently,there is an urgent need to develop a platform that provides a systematic knowledgebase of human lipid metabolism and lipidome-centric omics analysis tools.DBLiPro is a user-friendly webserver allowing for access to human metabolism-related lipids and proteins knowledge database and an interactive bioinformatics integrative analysis workflow for lipidomics,transcriptomics,and proteomics data.In DBLiPro,there are 3109 lipid-associated proteins(LAPs)and 2098 lipid metabolites in the knowledge base section,which were obtained from Uniprot,Kyoto Encyclopedia of Genes and Genomes(KEGG)and were further annotated by information from other public resources in the knowledge base section,such as RaftProt and PubChem.DBLiPro offers a step-by-step interactive analysis workflow for lipidomics,transcriptomics,proteomics,and their integrating multi-omics analysis focusing on the human lipid metabolism.In summary,DBLiPro is capable of helping users discover key molecules(lipids and proteins)in human lipid metabolism and investigate lipid–protein functions underlying mechanisms based on their own omics data.The DBLiPro is freely available at http://lipid.cloud na.cn/home.

Experimental study on the CO2 concentration and age of air distribution inside tiny sleeping spaces

In recent years,rapid urban development has led to capsule hotels,sleep pods,and other tiny sleeping spaces that adapt to people’s fast-paced lives,achieving maximum functionality with a very small footprint.However,due to the small space,human metabolic pollutant(such as CO2)is more likely to accumulate,and the air is not easily circulated.In this paper,a full-size experimental platform is set up with three types of ventilation modes to explore the exclusion efficiency of metabolic pollutants and the overall distribution of age of air under these ventilation modes.The conclusions showed that the mean values of metabolic pollutant exclusion rates for the different ventilation modalities varied very little across the spatial dimensions of the confined space but varied considerably in the area around the head.The double-side attached ventilation method was the most effective in removing human metabolic pollutants,especially in the head region(CN≥0.92),while the single-wall attached ventilation method had the best air exchange efficiency(η≥0.85).This suggests an inconsistent distribution of CO2 and age of air,which is contrary to general common sense.The conclusions of this paper can guide the design of ventilation for tiny sleeping spaces.