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Osteoarthritis (OA) represents a degenerative joint disease which advances through cartilage breakdown, synovial inflammation, and subchondral bone transformation until it causes persistent pain and mobility loss. The scientific community lacks complete knowledge about OA disease mechanisms and post-operative healing processes despite arthroplasty surgery providing effective symptom relief. This study investigated plasma proteomic changes in OA patients before and after arthroplasty. The cohort included eight OA patients undergoing knee or hip arthroplasty and ten age-, sex-, and body mass index-matched healthy controls. Plasma proteins were analyzed using liquid chromatography–tandem mass spectrometry following enzymatic digestion and depletion of high-abundance components. The bioinformatic analysis together with quantitative methods showed that OA patients experienced changes in inflammatory pathways, extracellular matrix remodeling, immune system regulation and coagulation processes. A total of 93 proteins were differentially abundant in the pre-operative comparison. Among these, 63 proteins were consistently up-regulated and 23 were consistently down-regulated across both pre- and post-operative time points. In addition, 20 proteins exhibited post-operative-specific changes. These findings highlight both persistent disease-associated alterations and transient proteomic shifts linked to post-operative recovery. Overall, this study identifies candidate plasma proteomic signatures associated with OA and surgical intervention, providing exploratory insights into disease monitoring and potential personalized therapeutic strategies.

Diabetic nephropathy (DN) is a leading cause of end-stage renal disease, characterized by progressive kidney dysfunction. Early detection and targeted therapies remain key challenges in managing DN. This study aims to identify proteomic alterations in DN patients compared to healthy controls, focusing on proteins involved in inflammation, oxidative stress, immune response, and metabolic dysregulation. Using mass spectrometry and advanced bioinformatics, we identified significant upregulation of proteins associated with platelet activation, immune regulation, and extracellular matrix remodeling, as well as downregulation of proteins linked to lipid metabolism, immune regulation, and structural stability. These findings highlight the molecular complexity of DN and suggest that altered protein expression plays a critical role in the progression of kidney damage. The identified proteins may serve as potential biomarkers for early diagnosis and therapeutic targets for DN. Our results underline the importance of proteomic analyses in advancing the understanding of DN pathogenesis and in developing strategies for personalized treatment to improve patient outcomes. Future research should focus on further elucidating these molecular mechanisms and their implications for clinical management.

Este estudio busca determinar cómo el panorama de servicios sociales influye en la imagen y satisfacción de los clientes de restaurantes. Se analizó a los restaurantes en el distrito de Bahçelievler en Estambul con el Certificado de Gestión Turística del Ministerio de Cultura y Turismo de Türkiye. Se recopilaron datos de 360 visitantes de los restaurantes. Se utilizaron los Modelos de Ecuaciones Estructurales (MES) para examinar las relaciones entre las variables. Los resultados muestran que las dimensiones del panorama de servicios sociales, como empleados, otros clientes y relaciones, impactan positivamente en la imagen del restaurante. Sin embargo, la aglomeración social tiene un efecto negativo en la imagen. Además, se encontró que la imagen del restaurante influye positivamente en la satisfacción del cliente.

Este estudio busca determinar cómo el panorama de servicios sociales influye en la imagen y satisfacción de los clientes de restaurantes. Se analizó a los restaurantes en el distrito de Bahçelievler en Estambul con el Certificado de Gestión Turística del Ministerio de Cultura y Turismo de Türkiye. Se recopilaron datos de 360 visitantes de los restaurantes. Se utilizaron los Modelos de Ecuaciones Estructurales (MES) para examinar las relaciones entre las variables. Los resultados muestran que las dimensiones del panorama de servicios sociales, como empleados, otros clientes y relaciones, impactan positivamente en la imagen del restaurante. Sin embargo, la aglomeración social tiene un efecto negativo en la imagen. Además, se encontró que la imagen del restaurante influye positivamente en la satisfacción del cliente.