RESUMO
Osteoarthritis (OA), a chronic joint degenerative disease, is the significant cause of the loss of joint function in middle-aged and older people. Bone destruction, synovial hyperplasia, osteophyte formation, and subchondral bone sclerosis are the main features of osteoarthritis, and the typical symptom is severe joint pain. Consequent to unprecedented global population aging, osteoarthritis remains a leading cause of disability, and the treatment often comes at a high cost. With an in-depth understanding of related research, osteoarthritis is proven to be a multifactorial disease whose onset is not simply a cartilage lesion, and the immune plays an essential role in the development of the disease. Some studies proposed that chondrocytes are capable of altering gene expression and mediating osteoarthritis progression by regulating immune responses. Previous studies showed that the extent of immune dysregulation significantly correlates with the severity of osteoarthritis, revealing an association between immunity response and clinical manifestations. The study of immune infiltration, genetic alterations, and pathogenesis of osteoarthritis may provide new perspectives and methods for the treatment of osteoarthritis in the future. Therefore, this review, combined with the recent decade of literature, provides an overview of the research progress of the main immune cells and related cytokines in OA, which may provide a new direction of thinking for diagnosing and preventing this disease.
RESUMO
Malnutrition is closely related to clinical outcomes and accurate evaluation of nutritional status is the cornerstone of nutritional therapy. However, consistent diagnostic criteria for malnutrition have been absent for quite a long period. The Global Leadership Initiative on Malnutrition (GLIM) criteria were introduced in September 2018 and served as a consensus-based evaluation tool. As per GLIM criteria, evaluation of malnutrition should follow a two-step approach with nutritional screening as the first step and then malnutrition diagnosis assessment and severity grading based on etiologic as well as phenotypic metrics. Since debut, GLIM criteria have been applied in different countries, healthcare settings and populations, showing good accuracy and prognostic value for outcomes such as complications and survival. However, most of the studies are retrospective in nature and high-quality prospective studies are needed to better validate GLIM criteria. The way to steer nutritional interventions based on GLIM criteria is also worth future investigation.