Background: An increased frequency of toxoplasma encephalitis, caused by Toxoplasma gondii, has been reported in AIDS patients, especially in those with CD4+ T cell counts <100 cells/μL. Several guidelines recommend the combination of pyrimethamine, sulfadiazine, and leucovorin as the preferred regimen for AIDS-associated toxoplasma encephalitis. However, it is not commonly used in China due to limited access to pyrimethamine and sulfadiazine. The synergistic sulfonamides tablet formulation is a combination of trimethoprim (TMP), sulfadiazine and sulfamethoxazole (SMX), and is readily available in China. Considering its constituent components, we hypothesize that this drug may be used as a substitute for sulfadiazine and TMP-SMX. We have therefore designed the present trial, and propose to investigate the efficacy and safety of synergistic sulfonamides combined with clindamycin for the treatment of toxoplasma encephalitis.
Methods/design: This study will be an open-labeled, multi-center, prospective, randomized, and controlled trial. A total of 200 patients will be randomized into TMP-SMX plus azithromycin group, and synergistic sulfonamides plus clindamycin group at a ratio of 1:1. All participants will be invited to participate in a 48-week follow-up schedule once enrolled. The primary outcomes will be clinical response rate and all-cause mortality at 12 weeks. The secondary outcomes will be clinical response rate and all-cause mortality at 48 weeks, and adverse events at each visit during the follow-up period.
Discussion: We hope that the results of this study will be able to provide reliable evidence for the efficacy and safety of synergistic sulfonamides for its use in AIDS patients with toxoplasma encephalitis.
Trial Registration: This study was registered as one of 12 clinical trials under the name of a general project at chictr.gov on February 1, 2019, and the registration number of the general project is ChiCTR1900021195. This study is still recruiting now, and the first patient was screened on March 22, 2019.
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http://dx.doi.org/10.1097/MD.0000000000020146 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Department of Physics, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan.
The pseudogap phenomena have been a long-standing mystery of the cuprate high-temperature superconductors. The pseudogap in the electron-doped cuprates has been attributed to band folding due to antiferromagnetic (AFM) long-range order or short-range correlation. We performed an angle-resolved photoemission spectroscopy study of the electron-doped cuprates PrLaCeCuO showing spin-glass, disordered AFM behaviors, and superconductivity at low temperatures and, by measurements with fine momentum cuts, found that the gap opens on the unfolded Fermi surface rather than the AFM Brillouin zone boundary.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Laboratory of Precision Medicine and Biopharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Recurrent missense mutations in the human epidermal growth factor receptor 2 (HER2) have been identified across various human cancers. Among these mutations, the active S310F mutation in the HER2 extracellular domain stands out as not only oncogenic but also confers resistance to pertuzumab, an antibody drug widely used in clinical cancer therapy, by impeding its binding. In this study, we have successfully employed computational-aided rational design to undertake directed evolution of pertuzumab, resulting in the creation of an evolved pertuzumab variant named Ptz-SA.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Institute of Data Science, National University of Singapore, 117602, Singapore.
Objectives: This study introduces Smart Imitator (SI), a 2-phase reinforcement learning (RL) solution enhancing personalized treatment policies in healthcare, addressing challenges from imperfect clinician data and complex environments.
Materials And Methods: Smart Imitator's first phase uses adversarial cooperative imitation learning with a novel sample selection schema to categorize clinician policies from optimal to nonoptimal. The second phase creates a parameterized reward function to guide the learning of superior treatment policies through RL.
Objective: The aim of this study is to test the feasibility of a custom 3D-printed guide for performing a minimally invasive cochleostomy for cochlear implantation.
Study Design: Prospective performance study.
Setting: Secondary care.
J Chem Theory Comput
January 2025
Guizhou Provincial Engineering Technology Research Center for Chemical Drug R&D, School of Pharmacy, Guizhou Medical University, Guiyang, Guizhou 550025, P. R. China.
Traditional machine learning methods face significant challenges in predicting the properties of highly symmetric molecules. In this study, we developed a machine learning model based on graph neural networks (GNNs) to accurately and swiftly predict the thermodynamic and photochemical properties of fullerenols, such as C(OH) ( = 1 to 30). First, we established a global method for generating fullerenol isomers through isomer fingerprinting, which can generate all possible isomers or produce diverse structural types on demand.
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