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Osteoarthritis (OA) is a debilitating degenerative disease affecting multiple joint tissues, including cartilage, bone, synovium, and adipose tissues. OA presents diverse clinical phenotypes and distinct molecular endotypes, including inflammatory, metabolic, mechanical, genetic, and synovial variants. Consequently, innovative technologies are needed to support the development of effective diagnostic and precision therapeutic approaches. Traditional analysis of bulk OA tissue extracts has limitations due to technical constraints, causing challenges in the differentiation between various physiological and pathological phenotypes in joint tissues. This issue has led to standardization difficulties and hindered the success of clinical trials. Gaining insights into the spatial variations of the cellular and molecular structures in OA tissues, encompassing DNA, RNA, metabolites, and proteins, as well as their chemical properties, elemental composition, and mechanical attributes, can contribute to a more comprehensive understanding of the disease subtypes. Spatially resolved biology enables biologists to investigate cells within the context of their tissue microenvironment, providing a more holistic view of cellular function. Recent advances in innovative spatial biology techniques now allow intact tissue sections to be examined using various -omics lenses, such as genomics, transcriptomics, proteomics, and metabolomics, with spatial data. This fusion of approaches provides researchers with critical insights into the molecular composition and functions of the cells and tissues at precise spatial coordinates. Furthermore, advanced imaging techniques, including high-resolution microscopy, hyperspectral imaging, and mass spectrometry imaging, enable the visualization and analysis of the spatial distribution of biomolecules, cells, and tissues. Linking these molecular imaging outputs to conventional tissue histology can facilitate a more comprehensive characterization of disease phenotypes. This review summarizes the recent advancements in the molecular imaging modalities and methodologies for in-depth spatial analysis. It explores their applications, challenges, and potential opportunities in the field of OA. Additionally, this review provides a perspective on the potential research directions for these contemporary approaches that can meet the requirements of clinical diagnoses and the establishment of therapeutic targets for OA. [ABSTRACT FROM AUTHOR]

Osteoarthritis is the most prevalent degenerative joint disease and one of the leading causes of physical impairment in the world's aging population. The human lifespan has significantly increased as a result of scientific and technological advancements. According to estimates, the world's elderly population will increase by 20% by 2050. Aging and age-related changes are discussed in this review in relation to the development of OA. We specifically discussed the cellular and molecular changes that occur in the chondrocytes during aging and how these changes may make synovial joints more susceptible to OA development. These changes include chondrocyte senescence, mitochondrial dysfunction, epigenetic modifications, and decreased growth factor response. The age-associated changes occur not only in the chondrocytes but also in the matrix, subchondral bone, and synovium. This review aims to provide an overview of the interplay between chondrocytes and matrix and how age-related changes affect the normal function of cartilage and contribute to OA development. Understanding the alterations that affect the function of chondrocytes will emerge new possibilities for prospective therapeutic options for the treatment of OA. [ABSTRACT FROM AUTHOR]

When repairing cartilage defects a major challenge is achieving high-quality integration between the repair tissue and adjacent native cartilage. Matrix-rich cartilage is not easily remodeled, motivating several studies to trial enzyme treatment of the tissue interface to facilitate remodeling and integration. Studying and optimizing such processes is tedious, as well as potentially expensive, and thus simpler models are needed to evaluate the merits of enzyme treatment on cartilage tissue integration. Herein, we used engineered cartilage microtissues formed from bone marrow-derived stromal cells (BMSC) or expanded articular chondrocytes (ACh) to study the impact of enzyme treatment on cartilage tissue integration and matrix remodeling. A 5-min treatment with collagenase appeared to improve cartilage microtissue integration, while up to 48 h treatment with hyaluronidase did not. Alcian blue and anti-collagen II staining suggested that collagenase treatment did facilitate near seamless integration of cartilage microtissues. Microtissue sections were stained with Picrosirius red and characterized using polarized light microscopy, revealing that individual microtissues contained a collagen network organized in concentric shells. While collagenase treatment appeared to improve tissue integration, assessment of the collagen fibers with polarized light indicated that enzymatically damaged networks were not remodeled nor restored during subsequent culture. This model and these data paradoxically suggest that collagen network disruption is required to improve cartilage tissue integration, but that the disrupted collagen networks are unlikely to subsequently be restored. Future studies should attempt to limit collagen network disruption to the surface of the cartilage, and we recommend using Picrosirius red staining and polarized light to assess the quality of matrix remodeling and integration. [ABSTRACT FROM AUTHOR]