A comparative study was made of the effects of beta-sitosterol, estradiol-17 beta and progesterone, individually and in combinations, on certain biochemical parameters important to carbohydrate metabolism in the uteri of adult ovariectomised rats. beta-Sitosterol (SITO), estradiol (E2) and combined treatment (SITO + E2) induced significant increases in glycogen concentration and the activities of glucose-6-phosphate dehydrogenase (G6PDH), phosphohexose isomerase (PHI) and total lactate dehydrogenase (LDH). Progesterone (P) administration however, raised only the uterine PHI and LDH activities. Co-administration of P with beta-sitosterol (P + SITO) suppressed the SITO-induced increase in glycogen concentration and G6PDH activity. On the other hand, combined treatment (P + SITO) augmented total LDH activity.
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http://dx.doi.org/10.1016/0378-8741(92)90060-5 | DOI Listing |
N Engl J Med
January 2025
From Médecins Sans Frontières (L.G., F.V.), Sorbonne Université, INSERM Unité 1135, Centre d'Immunologie et des Maladies Infectieuses (L.G.), Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Universitaire Sorbonne Université, Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux (L.G.), and Epicentre (M.G., E. Baudin), Paris, and Translational Research on HIV and Endemic and Emerging Infectious Diseases, Montpellier Université de Montpellier, Montpellier, Institut de Recherche pour le Développement, Montpellier, INSERM, Montpellier (M.B.) - all in France; Interactive Development and Research, Singapore (U.K.); McGill University, Epidemiology, Biostatistics, and Occupational Health, Montreal (U.K.); UCSF Center for Tuberculosis (G.E.V., P.N., P.P.J.P.) and the Division of HIV, Infectious Diseases, and Global Medicine (G.E.V.), University of California at San Francisco, San Francisco; the National Scientific Center of Phthisiopulmonology (A.A., E. Berikova) and the Center of Phthisiopulmonology of Almaty Health Department (A.K.), Almaty, and the City Center of Phthisiopulmonology, Astana (Z.D.) - all in Kazakhstan; Médecins Sans Frontières (C.B., I.M.), the Medical Research Council Clinical Trials Unit at University College London (I.M.), and St. George's University of London Institute for Infection and Immunity (S.W.) - all in London; MedStar Health Research Institute, Washington, DC (M.C.); Médecins Sans Frontières, Mumbai (V. Chavan), the Indian Council of Medical Research Headquarters-New Delhi, New Delhi (S. Panda), and the Indian Council of Medical Research-National AIDS Research Institute, Pune (S. Patil) - all in India; the Centre for Infectious Disease Epidemiology and Research (V. Cox) and the Department of Medicine (H. McIlleron), University of Cape Town, and the Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine (S.W.) - both in Cape Town, South Africa; the Institute of Tropical Medicine, Antwerp, Belgium (B. C. J.); Médecins Sans Frontières, Geneva (G.F., N.L.); Médecins Sans Frontières, Yerevan, Armenia (O.K.); the National Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia (N.K.); Partners In Health (M.K.) and Jhpiego Lesotho (L.O.) - both in Maseru; Socios En Salud Sucursal Peru (L.L., S.M.-T., J.R., E.S.-G., D.E.V.-V.), Hospital Nacional Sergio E. Bernales, Centro de Investigacion en Enfermedades Neumologicas (E.S.-G.), Hospital Nacional Dos de Mayo (E.T.), Universidad Nacional Mayor de San Marcos (E.T.), and Hospital Nacional Hipólito Unanue (D.E.V.-V.) - all in Lima; Global Health and Social Medicine, Harvard Medical School (L.L., K.J.S., M.L.R., C.D.M.), Partners In Health (L.L., K.J.S., M.L.R., C.D.M.), the Division of Global Health Equity, Brigham and Women's Hospital (K.J.S., M.L.R., C.D.M.), the Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, (L.T.), and Harvard T.H. Chan School of Public Health (L.T.) - all in Boston; and the Indus Hospital and Health Network, Karachi, Pakistan (H. Mushtaque, N.S.).
Background: For decades, poor treatment options and low-quality evidence plagued care for patients with rifampin-resistant tuberculosis. The advent of new drugs to treat tuberculosis and enhanced funding now permit randomized, controlled trials of shortened-duration, all-oral treatments for rifampin-resistant tuberculosis.
Methods: We conducted a phase 3, multinational, open-label, randomized, controlled noninferiority trial to compare standard therapy for treatment of fluoroquinolone-susceptible, rifampin-resistant tuberculosis with five 9-month oral regimens that included various combinations of bedaquiline (B), delamanid (D), linezolid (L), levofloxacin (Lfx) or moxifloxacin (M), clofazimine (C), and pyrazinamide (Z).
Cien Saude Colet
January 2025
Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz. Rio de Janeiro RJ Brasil.
The scope of this study was to determine the diagnostic performance of ABSI for obesity and sarcopenic obesity, compared to the results of bioimpedance analysis (BIA) and BMI, by sex and age group. It involved a cross-sectional study with 12,793 participants in the second round of ELSA-Brasil (Longitudinal Study of Adult Health in Brazil), which obtained measurements of body fat percentage using BIA and anthropometry, verifying the performance of the diagnostic tests in order to compare the indices. The results showed that for obesity in men in all three age groups, the sensitivity was below 49%.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.
Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.
View Article and Find Full Text PDFThe aim of the Research to Practice column is to enhance the research critique abilities of both advanced practice registered nurses and emergency nurses, while also aiding in the translation of research findings into clinical practice. Each column focuses on a specific topic and research study. In this article, we used a scenario of chronic pain exacerbation to explore the study by Eucker et al.
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