Background: Noninvasive tests (NITs) to monitor metabolic dysfunction-associated steatohepatitis (MASH) progression and response to interventions are needed because of the risks of liver biopsy. A monocytes-based diagnostic test using perilipin-2 (PLIN2) and Ras-related protein-14 (RAB14) predict the severity of MASH and fibrosis. Here we compared the performances of PLIN2 and RAB14 with cytokeratin-18 (CK18) assessed by Ella™ or M65 ELISA in predicting MASH and fibrosis resolution following bariatric surgery in a longitudinal and histologically characterized cohort of individuals with obesity.
View Article and Find Full Text PDFObjective: To examine the course of interstitial lung disease associated with rheumatoid arthritis (RA-ILD) in France on treatment with Janus kinase inhibitors (JAKis) using the MAJIK-SFR registry.
Methods: Prospective national multicentre observational study identifying patients with RA-ILD from the MAJIK-SFR registry. Pulmonary assessment data were collected at JAKi initiation and follow-up visits (6 months, 12 months and a median of 21 months postinclusion), including chest high-resolution CT (HRCT), pulmonary function tests (forced vital capacity (FVC) and diffusing capacity of the lungs for carbon monoxide (DLCO)), acute exacerbations of ILD, respiratory infections and lung cancers.
There is a new awareness of the widespread nature of metabolic dysfunction-associated steatotic liver disease (MASLD) and its connection to cardiovascular disease (CVD). This has catalyzed collaboration between cardiologists, hepatologists, endocrinologists, and the wider multidisciplinary team to address the need for earlier identification of those with MASLD who are at increased risk for CVD. The overlap in the pathophysiologic processes and parallel prevalence of CVD, metabolic syndrome, and MASLD highlight the multisystem consequences of poor cardiovascular-liver-metabolic health.
View Article and Find Full Text PDFMetabolic dysfunction-associated steatotic liver disease (MASLD) exhibits considerable variability in clinical outcomes. Identifying specific phenotypic profiles within MASLD is essential for developing targeted therapeutic strategies. Here we investigated the heterogeneity of MASLD using partitioning around medoids clustering based on six simple clinical variables in a cohort of 1,389 individuals living with obesity.
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