The sclerotic component of metabolic syndrome: Fibroblast activities may be the central common denominator driving organ function loss and death

纤维化 成纤维细胞 器官功能障碍 医学 细胞外基质 肝病 病理 心力衰竭 内分泌学 内科学 生物 细胞生物学 生物化学 体外 败血症
作者
Alexander Lynge Reese‐Petersen,Signe Holm Nielsen,Jannie Marie Bülow Sand,Jörn M. Schattenberg,Elisabetta Bugianesi,M.A. Karsdal
出处
期刊:Diabetes, Obesity and Metabolism [Wiley]
卷期号:26 (7): 2554-2566 被引量:5
标识
DOI:10.1111/dom.15615
摘要

Abstract Fibrosis is a common feature of more than 50 different diseases and the cause of more than 35% of deaths worldwide, of which liver, kidney, skin, heart and, recently, lungs are receiving the most attention. Tissue changes, resulting in loss of organ function, are both a cause and consequence of disease and outcome. Fibrosis is caused by an excess deposition of extracellular matrix proteins, which over time results in impaired organ function and organ failure, and the pathways leading to increased fibroblast activation are many. This narrative review investigated the common denominator of fibrosis, fibroblasts, and the activation of fibroblasts, in response to excess energy consumption in liver, kidney, heart, skin and lung fibrosis. Fibroblasts are the main drivers of organ function loss in lung, liver, skin, heart and kidney disease. Fibroblast activation in response to excess energy consumption results in the overproduction of a range of collagens, of which types I, III and VI seem to be the essential drivers of disease progression. Fibroblast activation may be quantified in serum, enabling profiling and selection of patients. Activation of fibroblasts results in the overproduction of collagens, which deteriorates organ function. Patient profiling of fibroblast activities in serum, quantified as collagen production, may identify an organ death trajectory, better enabling identification of the right treatment for use in different metabolic interventions. As metabolically activated patients have highly elevated risk of kidney, liver and heart failure, it is essential to identify which organ to treat first and monitor organ status to correct treatment regimes. In direct alignment with this, it is essential to identify the right patients with the right organ deterioration trajectory for enrolment in clinical studies.
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