http://localhost:8080/xmlui/handle/123456789/9067 343 - 522 Tue, 14 Apr 2026 20:45:29 GMT 2026-04-14T20:45:29Z http://localhost:8080/xmlui/handle/123456789/9514 Title: Intestinal capillariasis: An indigenous case in Taiwan Sat, 01 Jun 2024 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/9514 2024-06-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/9513 Title: Combination of trimethoprimsulfamethoxazole and clindamycin in the treatment of relapsing toxoplasmic encephalitis Sat, 01 Jun 2024 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/9513 2024-06-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/9512 Title: ProFun: A web server for functional enrichment analysis of parasitic protozoan genes Authors: Huang, Po-Jung; Weng, Yi-Chen; Huang, Kuo-Yang; dkk. Abstract: Background: The initial step to interpreting putative biological functions from comparative multi-omics studies usually starts from a differential expressed gene list followed by functional enrichment analysis (FEA). However, most FEA packages are designed exclusively for humans and model organisms. Although parasitic protozoan is the most important pathogen in the tropics, no FEA package is available for protozoan functional (ProFun) enrichment analysis. To speed up comparative multi-omics research on parasitic protozoans, we constructed ProFun, a web-based, user-friendly platform for the research community. Methods: ProFun utilizes the Docker container, ShinyProxy, and R Shiny to construct a scalable web service with load-balancing infrastructure. We have integrated a series of visual analytic functions, in-house scripts, and custom-made annotation packages to create three analytical modules for 40 protozoan species: (1) Gene Overlaps; (2) Over-representation Analysis (ORA); (3) Gene Set Enrichment Analysis (GSEA). Results: We have established ProFun, a web server for functional enrichment analysis of differentially expressed genes. FEA becomes as simple as pasting a list of gene IDs into the textbox of our website. Users can customize enrichment parameters and results with just one click. The intuitive web interface and publication-ready charts enable users to reveal meaningful biological events and pinpoint potential targets for further studies. Conclusion: ProFun is the first web application that enables gene functional enrichment analysis of parasitic protozoans. In addition to supporting FEA analysis, ProFun also allows the comparison of FEA results across complicated experimental designs. ProFun is freely available at http://dalek.cgu.edu.tw:8080/app/profun. Sat, 01 Jun 2024 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/9512 2024-06-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/9511 Title: The effect of statins on the risk of antituberculosis drug-induced liver injury among patients with active tuberculosis: A cohort study Authors: Huang, Chun-Kai; Huang, Jei-Yie; Chang, Chin-Hao; dkk. Abstract: Background: Tuberculosis (TB) remains prevalent worldwide, and anti-TB drugs are associated with drug-induced liver injury (DILI). Statins have pleiotropic effects which may decrease inflammation and achieve immunomodulation. However, few studies have investigated the pleiotropic effects of statins on the risk of DILI. The purpose of this study was to investigate whether statins prevent anti-tuberculosis DILI among active TB patients on standard anti-TB drug therapy. Methods: We conducted a hospital-based retrospective cohort study using claims data from the Integrated Medical Database of National Taiwan University Hospital (NTUH-iMD). Patients with a positive TB culture were included. The use of statins was defined as a daily equivalent dose >0.5 mg of pitavastatin. Deterioration in liver function was evaluated according to elevated liver enzyme levels. The primary and secondary endpoints were the DILI and the severe DILI. The prognostic value of statins was evaluated by KaplaneMeier analysis, and Cox proportional hazards models. Results: A total of 1312 patients with a diagnosis of TB and receiving anti-TB treatment were included. During the study period, 193 patients had the DILI and 140 patients had the severe DILI. KaplaneMeier analysis showed a significant difference between the usual statin users and controls in the DILI. In multivariable Cox proportional hazards analysis, statins showed a protective effect against the primary and secondary endpoints. In addition, the protective effect of statins showed a doseeresponse relationship against the DILI. Conclusion: Statin treatment had a protective effect against the risk of anti-TB DILI with a positive doseeresponse relationship. Sat, 01 Jun 2024 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/9511 2024-06-01T00:00:00Z