Traditional Chinese medicine (TCM) was the primary source of medical treatment for the people inhabiting East Asia for thousands of years. These ancient practices have incorporated a wide variety of materia medica including plants, animals and minerals. As modern sciences, including natural products chemistry, emerged, there became increasing efforts to explore the chemistry of this materia medica to find molecules responsible for their traditional use. Insects, including beetles have played an important role in TCM. In our survey of texts and review articles on TCM materia medica, we found 48 species of beetles from 34 genera in 14 different families that are used in TCM. This review covers the chemistry known from the beetles used in TCM, or in cases where a species used in these practices has not been chemically studied, we discuss the chemistry of closely related beetles. We also found several documented uses of beetles in Traditional Korean Medicine (TKM), and included them where appropriate. There are 129 chemical constituents of beetles discussed.

In microarray-based cancer classification, gene selection is an important issue owing to the large number of variables and small number of samples as well as its non-linearity. It is difficult to get satisfying results by using conventional linear statistical methods. Recursive feature elimination based on support vector machine (SVM RFE) is an effective algorithm for gene selection and cancer classification, which are integrated into a consistent framework. In this paper, we propose a new method to select parameters of the aforementioned algorithm implemented with Gaussian kernel SVMs as better alternatives to the common practice of selecting the apparently best parameters by using a genetic algorithm to search for a couple of optimal parameter. Fast implementation issues for this method are also discussed for pragmatic reasons. The proposed method was tested on two representative hereditary breast cancer and acute leukaemia datasets. The experimental results indicate that the proposed method performs well in selecting genes and achieves high classification accuracies with these genes.
Algorithms ; Breast Neoplasms ; genetics ; Female ; Genes ; Humans ; Leukemia, Myeloid, Acute ; genetics ; Models, Genetic ; Oligonucleotide Array Sequence Analysis ; methods ; Predictive Value of Tests

Background: Weight loss, though difficult to attain and sustain over time, remains the cornerstone of non-alcoholic fatty liver disease (NAFLD) treatment. We aimed to describe weight changes among NAFLD patients. Methods: This was a retrospective, cohort study of consecutively-identified NAFLD patients with >2 clinic visits from March2007–April2018. Weight changes from baseline were categorized into weight gain, weight loss, and no change. Baseline liver and metabolic biochemistries and non-invasive liver fibrosis tests were correlated with the final weight changes. Succeeding weight changes after the initial follow-up visits were used to determine sustainability of weight loss. Results: Of the 240 patients included, 123 (51.2%), 93 (38.8%), and 24 (10%) had weight gain, weight loss, and no change, respectively. Only 12.5% had >5% weight loss. Duration of follow-up was significantly longer for patients with weight loss (p<0.001). None of the baseline demographic and laboratory data were associated with weight loss. Patients with weight loss also did not have significant changes to their biochemistries and non-invasive liver fibrosis tests compared to patients with weight gain/no change. Compared to patients with weight gain after the initial follow-up, where only 11.8% were able to lose weight on the final visit, 73.1% of patients who lost weight after the initial follow-up were able to sustain their weight loss on the final visit. Conclusions Weight loss is achieved in only a third of NAFLD patients. Although 73% of patients who lost weight initially were able to sustain it, patients who gained weight after the 1st follow-up were unlikely to lose weight on further follow-up.
Non-alcoholic Fatty Liver Disease ; Weight Loss

Background: There is a dearth of data on Filipino patients with autoimmune hepatitis (AIH). We aimed to describe the demographic and clinical profiles of patients with AIH and to characterize clinical outcomes and treatment responses. Methods: A retrospective cohort study involving patients from two tertiary centers diagnosed with AIH from January 1, 2007, to December 31, 2019, was included. Disease remission was defined as the normalization of ALT levels, while failure was defined as an increase in ALT levels over baseline or clinical deterioration. Results: A total of 48 patients were identified between 2007 to 2019. The median age at presentation was 51 (27-79 yrs.). Liver cirrhosis was already present in 37.5% (27.1% decompensated) on diagnosis. Aside from a higher histologic activity index in females (p=0.047), there were no gender-specific differences. Disease remission was achieved in 41.9% of patients at 6 months, while only 9.3% failed. At the final disposition, remission rates had slightly increased to 58%, but failure rates had risen to 12%. Treatment responses at both 6 and 12 months and MELD and Child-Pugh class influenced treatment responses at final disposition. Median overall survival was 102 weeks and was influenced by the presence of liver dysfunction and 12 months and final treatment responses. Conclusion Autoimmune hepatitis remains an important cause of morbidity and mortality. The results of the study highlight the need for immunosuppressive therapy to induce early remission for a higher likelihood of subsequent biochemical remission to reduce the risk of liver-related mortality.
Autoimmune Hepatitis ; Liver Cirrhosis ; Steroids ; Azathioprine