One of the top-level researches of biopharmaceutics classification system of Chinese materia medica (CMMBCS) is the study on single component in compound Chinese medicine. The medicines shall be classified according to its solubility and intestinal permeability, as well as the ascending degree in multicomponent environment. Based on above, we chose berberine as the main object to explore the change rules of its solubility and intestinal permeability in Gegen Qinlian decoction. Shaking flask-HPLC was used to detect the solubility changes of berberine in compounds. The qualitative investigation of berberine in intestinal absorption was measured by everted gut sac, and the quantitative research of berberine in intestinal absorption was measured by single-pass intestinal perfusion experiment, while the qualitative and quantitative research of berberine absorption into blood was measured by in intestinal perfusion with venous sampling experiment.
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http://dx.doi.org/10.19540/j.cnki.cjcmm.20170223.001 | DOI Listing |
Eur J Obstet Gynecol Reprod Biol
January 2025
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Los Angeles General Medical Center, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA. Electronic address:
Objective: To assess clinical and obstetric characteristics associated with pregnant patients with a diagnosis of attention-deficit hyperactivity disorder (ADHD).
Methods: This serial cross-sectional study queried the Agency of Healthcare Research and Quality's Healthcare Cost and Utilization Project National Inpatient Sample. The study population was 16,759,786 hospital deliveries from 2016 to 2020.
Knee
January 2025
Department of Orthopaedics, Juntendo University, Faculty of Medicine, Bunkyo-ku, Tokyo, Japan.
Purpose: The purpose of this study was to compare the distribution of the coronal plane alignment of the knee (CPAK) phenotype between the healthy population and the arthritic population in Japan.
Methods: The retrospective cross-sectional study included 1049 knees. There were 256 healthy individuals with a total of 512 knees and 310 individuals with a total of 537 arthritic knees who underwent around-knee osteotomy between June 2010 and January 2024.
Knee
January 2025
Department of Radiology, Keio University School of Medicine, Shinjuku, Tokyo, Japan.
Background: Long-leg alignment and joint line obliquity have traditionally been assessed using two-dimensional (2D) radiography, but the accuracy of this measurement has remained unclear. This study aimed to evaluate the accuracy of 2D measurements of lateral distal femoral angle (LDFA) and medial proximal tibial angle (MPTA) using upright three-dimensional (3D) computed tomography (CT).
Methods: This study involved 66 knees from 38 patients (34 women, four men) with knee osteoarthritis (OA), categorized by Kellgren-Lawrence (KL) grade.
Int J Med Inform
January 2025
Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:
Background: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases.
View Article and Find Full Text PDFJMIR Cancer
January 2025
Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging.
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