Modelling the endocrine pancreas in health and disease

内分泌疾病 医学 疾病 胰腺 生物信息学 梅德林 内分泌系统 生物 重症监护医学 内科学 激素 政治学 法学
作者
Mostafa Bakhti,Anika Böttcher,Heiko Lickert
出处
期刊:Nature Reviews Endocrinology [Nature Portfolio]
卷期号:15 (3): 155-171 被引量:96
标识
DOI:10.1038/s41574-018-0132-z
摘要

Diabetes mellitus is a multifactorial disease affecting increasing numbers of patients worldwide. Progression to insulin-dependent diabetes mellitus is characterized by the loss or dysfunction of pancreatic β-cells, but the pathomechanisms underlying β-cell failure in type 1 diabetes mellitus and type 2 diabetes mellitus are still poorly defined. Regeneration of β-cell mass from residual islet cells or replacement by β-like cells derived from stem cells holds great promise to stop or reverse disease progression. However, the development of new treatment options is hampered by our limited understanding of human pancreas organogenesis due to the restricted access to primary tissues. Therefore, the challenge is to translate results obtained from preclinical model systems to humans, which requires comparative modelling of β-cell biology in health and disease. Here, we discuss diverse modelling systems across different species that provide spatial and temporal resolution of cellular and molecular mechanisms to understand the evolutionary conserved genotype–phenotype relationship and translate them to humans. In addition, we summarize the latest knowledge on organoids, stem cell differentiation platforms, primary micro-islets and pseudo-islets, bioengineering and microfluidic systems for studying human pancreas development and homeostasis ex vivo. These new modelling systems and platforms have opened novel avenues for exploring the developmental trajectory, physiology, biology and pathology of the human pancreas. Loss or dysfunction of β-cells is a characteristic of insulin-dependent diabetes mellitus. Regeneration of β-cells might stop or reverse the progression of the disease. This Review discusses the different modelling systems and technologies currently used to study β-cell biology in health and disease.
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