Osteoarthritis (OA) is the most prevalent arthritis-type and is a major contributor to chronic joint pain, impaired physical function, and limited mobility. By the end of 2020, a total of 595 million, equal to 7·6% of the global population, had OA; this figure is expected to rise exponentially by 2050. Even while the disorder's intricate pathophysiology is starting to appear intelligible, we are yet to have a cure for the disorder. OA is typically managed with traditional palliative measures, such as topical and systemic analgesics, including non-steroidal anti-inflammatory drugs, therapeutic exercise, and braces. Sometimes, intra-articular glucocorticoids, viscosupplementation, or regenerative interventions provide short-term pain relief and functional improvement; some may require arthroplasty. Researchers continue their efforts to unveil a new therapeutic target to be effective in OA that modifies symptoms and arrests disease progression as well. In the present literature review, insights into new therapeutic strategies in OA, for example, liposome-based dexamethasone, microspore-based triamcinolone, nerve growth factor antagonist, anti-ADAMTS-5 (A Disintegrin And Metalloproteinase Thrombospoidin Motifs - 5), pentosan polysulfate sodium, allogeneic stem cells, C-C chemokine receptor type-4 (CCR4) ligand 17 inhibitor, Wnt-signaling inhibitor, and anti-obesity medications are provided.
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http://dx.doi.org/10.1016/j.jbspin.2024.105739 | DOI Listing |
J Chem Inf Model
January 2025
State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, P.R. China.
The rise of resistance to antiretroviral drugs due to mutations in human immunodeficiency virus-1 (HIV-1) protease is a major obstacle to effective treatment. These mutations alter the drug-binding pocket of the protease and reduce the drug efficacy by disrupting interactions with inhibitors. Traditional methods, such as biochemical assays and structural biology, are crucial for studying enzyme function but are time-consuming and labor-intensive.
View Article and Find Full Text PDFAnal Chem
January 2025
The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310022, China.
Swift and efficient enrichment and isolation of extracellular vesicles (EVs) are crucial for enhancing precise disease diagnostics and therapeutic strategies, as well as elucidating the complex biological roles of EVs. Conventional methods of isolating EVs are often marred by lengthy and laborious processes. In this study, we introduce an innovative approach to enrich and isolate EVs by leveraging the capabilities of DNA nanotechnology.
View Article and Find Full Text PDFNon-alcoholic fatty liver disease (NAFLD) is a chronic condition characterized by hepatic steatosis in the absence of significant alcohol consumption and is increasingly recognized as the hepatic manifestation of metabolic syndrome (MetS). This review aims to explore the molecular mechanisms underlying the interaction between NAFLD, insulin resistance (IR), and MetS, with a focus on identifying therapeutic targets. A comprehensive review of existing literature on NAFLD, IR, and MetS was conducted.
View Article and Find Full Text PDFJ Bone Oncol
February 2025
Unit of Oral Medicine and Dentistry for Frail Patients, Department of Rehabilitation, Fragility, and Continuity of Care, Regional Center for Research and Care of MRONJ, University Hospital Palermo, Palermo, PA, Italy.
Background: Low-doses of bone modifying agents (LD-BMAs) compared to those used to treat bone metastases are used in breast or prostate cancer patients on adjuvant endocrine therapy to prevent Cancer Treatment Induced Bone Loss (CTIBL). Their use is associated with an increased risk of developing Medication-Related Osteonecrosis of the Jaw (MRONJ). However, there is not clarity about strategies aimed to minimize the MRONJ risk in cancer patients at different conditions as low- vs high-doses of BMA.
View Article and Find Full Text PDFAnim Cells Syst (Seoul)
January 2025
Department of Genome Medicine and Science, Gachon University College of Medicine, Incheon, Republic of Korea.
Dynamic modeling of cellular states has emerged as a pivotal approach for understanding complex biological processes such as cell differentiation, disease progression, and tissue development. This review provides a comprehensive overview of current approaches for modeling cellular state dynamics, focusing on techniques ranging from dynamic or static biomolecular network models to deep learning models. We highlight how these approaches integrated with various omics data such as transcriptomics, and single-cell RNA sequencing could be used to capture and predict cellular behavior and transitions.
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