Association of different components and combinations of metabolic syndrome with hyperuricemia in community residents / 中华全科医师杂志

Objective:To explore the relationship between different components of metabolic syndrome (MS) and their combinations with hyperuricemia (HUA) in community residents.Methods:A cross-sectional survey was conducted from March to November 2020 among 10% residents aged 18 and above selected by cluster sampling method from Nanzhai Community of Taiyuan City. According to serum uric acid levels, the selected individuals were divided into HUA group and non HUA group. The general clinical data of the selected subjects was collected, and routine physical examination and laboratory tests were performed. The serum uric acid levels were detected in fasting blood samples. The association of 5 components (hypertension, hyperglycemia, abdominal obesity, hypertriglyceridemia (TG), and low high-density lipoprotein cholesterol (HDL-C)) of MS and their combinations with HUA was analyzed by multivariate logistic regression model.Results:A total of 2 167 community residents were included in the survey, there were 385 cases of HUA with the age of (49.1±15.8) years old, and 297 males (77.1%); 1 782 subjects without HUA and with the age of (48.2±16.2) years old, and 695 males (39.0%). Compared with the non HUA group, the HUA group had a higher proportion of males, smoking, alcohol consumption, and gout attacks, higher abdominal circumference and body mass index (all P<0.05). The proportion of hypertension, hypertriglyceridemia, and abdominal obesity of MS patients in the HUA group was higher, while the proportion of low HDL-C syndrome was lower (all P<0.05). However, there was no significant difference in the proportion of hyperglycemia between the two groups ( P>0.05). After adjusting for smoking, drinking alcohol, taking antihypertensive and hypoglycemic drugs, multivariate logistic regression analysis showed that except for hyperglycemia, all other components of MS were independently associated with HUA. low HDL-C was negatively associated with HUA ( OR=0.408, 95% CI: 0.231-0.721, P=0.002), and high TG was strongly associated with HUA ( OR=1.834, 95% CI: 1.339-2.513, P<0.001). Multivariate logistic regression analysis also showed that 9 out of 31 combinations of MS components were associated with HUA (all P<0.05), and abdominal obesity+hypertriglyceridemia had the strongest association with HUA ( OR=4.379, 95% CI: 2.184-8.780, P<0.001). Conclusion:Except hyperglycemia, all components of MS and their combinations are significantly associated with HUA, the association between hyper-TG and HUA is the strongest one.

Progress on community management models of hyperuricemia / 中华全科医师杂志

Hyperuricemia is the second largest metabolic disease next to the diabetes and is an independent risk factor for other chronic diseases. With the increase of incidence rate, it has become one of the common chronic diseases in general practice. For the implementation of hierarchical medical system, it is necessary to establish a sound and effective community model for the management of hyperuricemia in China. This article reviews the literature at home and abroad to provide information for building a community management model of hyperuricemic patients.

Training the computational thinking of medical students in the process of data processing / 中华医学教育探索杂志

Basic Requirements of Teaching Basic Courses of Computer in Universities proposed pro-moting reforms to universities' computer basic education, whose core was to cultivate the students' computational thinking ability, infiltrating the essential thinking method of computational science in content and design of the course. Tianjin Medical University distinguished different levels of students according to a proficiency test, implemented graded teaching, introduced MATLAB in the course of program design, and performed modular teaching according to the students' specialties. All courses implemented small class teaching to strengthen the students' ability to apply computational thinking and computer technology to medical practice and introduced network-based test, in order to provide ideas for the teaching reform of computer basic courses in medical col-leges and universities.

Metabolic profiling analysis associated with acquired erlotinib resistance of lung adenocarcinoma cells based on liquid chromatography–high resolution mass spectrometry / 上海交通大学学报（医学版）

Objective · To explore the change of metabolomic profiling after erlotinib (anepithelial growth factor receptor tyrosine kinase inhibitor)resistance of lung adenocarcinoma cells (PC9-ER), and find the differential metabolome associated witherlotinib resistance. Methods · Metabolic profiling of PC9-ER cells and homologous parent PC9 cells was acquired by the ultraperformance liquid chromatography tandem quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS). The data were analyzed by multi-dimensional statistical methods, such as partial least squares projection to latent structures-discriminant analysis (PLS-DA), to select and identify differential metabolites associated with erlotinib resistance. Results · A total of 14 differential metabolites were identified in PC9-ER cells. Seven up-regulated metabolites included N-acetylspermidine, phosphatidylethanolamine, AMP, pantothenic acid,proline, glutamate, and histidine, while seven down-regulated metabolites included citrulline, phosphorylcholine, glutathione, cysteinylglycine, glutathione oxidized, NAD, and S-adenosylmethionine, mainly participating in glutathione metabolism, glutamate metabolism, ammonia recycling, and protein biosynthesis. Conclusion · Metabolic profiling of erlotinib-resistant lung adenocarcinoma cells was changed. The information of differential metabolites associated with erlotinib resistance could provide clues for new resistance mechanisms and potential metabolism-related drug targets.