This review examines India's legal framework governing natural product sales, focusing on challenges and solutions. It analyses key legislation, including the Drugs and Cosmetics Act, Food Safety and Standards Act, and Biological Diversity Act, while addressing jurisdictional overlaps among bodies like FSSAI and CDSCO. Case studies highlight intellectual property disputes, quality control, mislabelling, false advertising, and unauthorised sales, emphasising consumer safety and public health. The article underscores challenges in ethical sourcing, sustainability, and integrating traditional medicine with modern regulations. Proposed solutions include blockchain for traceability, stricter labelling, public-private partnerships, and AI-driven drug discovery and quality control advancements. It emphasises balancing innovation with sustainability, stakeholder collaboration, and protecting traditional knowledge, referencing the Nagoya Protocol's role in biodiversity preservation. Recommendations include ethical sourcing, adaptive regulations, and evidence-based models. Future research calls for evaluating legal measures, harmonising international standards and exploring public-private partnerships in ethical sourcing.
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http://dx.doi.org/10.1080/14786419.2025.2475363 | DOI Listing |
Orthop J Sports Med
February 2025
Clinique du Sport, Paris, France.
Background: While patients receiving workers' compensation (WC) often exhibit lower postoperative functional outcomes after orthopaedic surgery, this has not been completely explored with proximal hamstring avulsion injury (PHAI).
Purpose: To (1) investigate the impact of patients with WC status on the functional outcome of PHAI repair and (2) identify risk factors for worse outcomes after PHAI repair.
Study Design: Cohort study; Level of evidence, 3.
Background: Annually, tropical diseases are a major cause of mortality; for instance, in 2019, neglected tropical diseases (NTDs) caused 150,000 deaths and 19 million DALYs, with sub-Saharan Africa bearing over half the burden and the other concentrations in Asia and South America. Their impact, though significant, is lower than ischemic heart disease and respiratory infections. The World Health Organization is critical in combating these tropical diseases through surveillance, information campaigns and health promotion.
View Article and Find Full Text PDFArthritis Res Ther
March 2025
Department of Rheumatology and Immunology, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Objectives: Takayasu arteritis (TAK) is an inflammatory vasculitis that affects the aorta and its primary branches. The pathogenesis of TAK remains elusive, yet identifying key cell types in the aorta of TAK patients is crucial for uncovering cellular heterogeneity and discovering potential therapeutic targets.
Methods: This study utilized single-cell transcriptome analysis on aortic specimens from three TAK patients, with control data sourced from a publicly available database (GSE155468).
J Anim Sci Biotechnol
March 2025
Department of Theriogenology and Biotechnology, College of Veterinary Medicine and the Research Institute for Veterinary Science, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea.
Background: As the global population increases, the demand for protein sources is expected to increase, driving the demand for cell-based cultivated meat. This study aimed to enhance the productivity of cultivated meat through optimization of the cell source and organization process.
Results: We engineered fibroblasts into myogenic cells via non-viral introduction of the MYOD1 gene, avoiding viral methods for safety.
BMC Med Inform Decis Mak
March 2025
Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Purpose: Assessing risk factors and creating prediction models from real-world medical data is challenging, requiring numerous modelling decisions with clinical guidance. Logistic regression is a common model for such studies, for which we advocate the use of Bayesian methods that can jointly deliver probabilistic risk factor inference and prediction. As an exemplar, we compare Bayesian logistic regression with horseshoe priors and Projective Prediction variable selection with the established frequentist LASSO approach, to predict severe COVID-19 outcomes (death or ICU admittance) from demographic and laboratory biomarker data.
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