Hepatic fibrosis 2022: Unmet needs and a blueprint for the future

医学 临床试验 疾病 纤维化 肝活检 临床前试验 肝纤维化 肝病 药物开发 生物信息学 重症监护医学 病理 药品 内科学 活检 药理学 医学物理学 生物
作者
Scott L. Friedman,Massimo Pinzani
出处
期刊:Hepatology [Lippincott Williams & Wilkins]
卷期号:75 (2): 473-488 被引量:315
标识
DOI:10.1002/hep.32285
摘要

Abstract Steady progress over four decades toward understanding the pathogenesis and clinical consequences of hepatic fibrosis has led to the expectation of effective antifibrotic drugs, yet none has been approved. Thus, an assessment of the field is timely, to clarify priorities and accelerate progress. Here, we highlight the successes to date but, more importantly, identify gaps and unmet needs, both experimentally and clinically. These include the need to better define cell–cell interactions and etiology‐specific elements of fibrogenesis and their link to disease‐specific drivers of portal hypertension. Success in treating viral hepatitis has revealed the remarkable capacity of the liver to degrade scar in reversing fibrosis, yet we know little of the mechanisms underlying this response. Thus, there is an exigent need to clarify the cellular and molecular mechanisms of fibrosis regression in order for therapeutics to mimic the liver’s endogenous capacity. Better refined and more predictive in vitro and animal models will hasten drug development. From a clinical perspective, current diagnostics are improving but not always biologically plausible or sufficiently accurate to supplant biopsy. More urgently, digital pathology methods that leverage machine learning and artificial intelligence must be validated in order to capture more prognostic information from liver biopsies and better quantify the response to therapies. For more refined treatment of NASH, orthogonal approaches that integrate genetic, clinical, and pathological data sets may yield treatments for specific subphenotypes of the disease. Collectively, these and other advances will strengthen and streamline clinical trials and better link histologic responses to clinical outcomes.
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