肝脏病理学的进化观点。

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Evolutionary Applications Pub Date : 2024-12-22 eCollection Date: 2024-12-01 DOI:10.1111/eva.70059
Katalin Dezső, Sándor Paku, Mária-Manuela Juhász, László Kóbori, Péter Nagy
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引用次数: 0

摘要

进化医学出现于20世纪后期,将自然选择和适应的原则与健康科学相结合。今天,随着智人生物学与其环境之间的差距迅速扩大,在几乎所有疾病中都可以检测到适应不良或适应不良的疾病,包括肝功能障碍。然而,在肝病学中,正如在大多数医学专业中一样,进化的考虑被忽视了,因为大多数医学界不熟悉进化的原理。这篇简短综述的目的是强调一种可能有助于理解各种肝脏疾病的进化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary View of Liver Pathology.

Evolutionary medicine emerged in the late twentieth century, integrating principles of natural selection and adaptation with the health sciences. Today, with a rapidly widening gap between the biology of Homo sapiens and its environment, maladaptation or maladaptive disorders can be detected in almost all diseases, including liver dysfunction. However, in hepatology, as in most medical specialties, evolutionary considerations are neglected because the majority of the medical community is not familiar with evolutionary principles. The aim of this brief review is to highlight an evolutionary approach that may facilitate understanding various liver diseases.

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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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