Metabolomics Analysis of Nutrient Metabolism in β-Cells

التفاصيل البيبلوغرافية
العنوان: Metabolomics Analysis of Nutrient Metabolism in β-Cells
المؤلفون: Hindrik Mulder, Peter Spégel
المصدر: Journal of Molecular Biology
بيانات النشر: Elsevier BV, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Anabolism, medicine.medical_treatment, Enteroendocrine cell, Biology, Mass Spectrometry, Islets of Langerhans, 03 medical and health sciences, 0302 clinical medicine, Metabolomics, Structural Biology, Insulin-Secreting Cells, medicine, Animals, Humans, Insulin, Secretion, Molecular Biology, 030304 developmental biology, 0303 health sciences, Catabolism, Nutrients, Metabolism, Cell biology, Diabetes Mellitus, Type 2, Metabolome, 030217 neurology & neurosurgery, Hormone
الوصف: The islets of Langerhans harbor multiple endocrine cell types that continuously respond to circulating nutrient levels in order to adjust their secretion of catabolic and anabolic hormones. Stimulus-secretion coupling in these cells is largely of metabolic nature; that is, metabolism of nutrient fuels yields signals that trigger and amplify secretion of hormones. Hence, metabolism in this micro-organ is in a major way in control of whole-body metabolism. Therefore, insights into islet metabolism are critical to understand how secretion of insulin is regulated and why it is perturbed in type 2 diabetes. Metabolomics aims at characterizing a wide spectrum of metabolites in cells, tissues and body fluids. For this reason, this technique is well suited to supply information on stimulus-secretion coupling. Here, we summarize metabolomics studies in islets and β-cells, highlight important discoveries that would have been difficult to make without this technology but also raise awareness of challenges and bottlenecks that curtail its use in metabolic research.
تدمد: 0022-2836
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::645e003bfd27a6c320dee7b364ef270aTest
https://doi.org/10.1016/j.jmb.2019.07.020Test
حقوق: CLOSED
رقم الانضمام: edsair.doi.dedup.....645e003bfd27a6c320dee7b364ef270a
قاعدة البيانات: OpenAIRE