000			03326nam a2200337 i 4500
999			_c398903 _d398903
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003			ES-MaUEC
005			20240315194315.0
006			a|||| o|||| 00| 0
007			cr nn 008mamaa
008			220929s2023 sz | o |||| 0|eng d
020			_a9783031080142
024	7		_a10.1007/978-3-031-08014-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC660 _b2023 EB
245	0	0	_aBiomarkers in Diabetes _cedited by Vinood B. Patel, Victor R. Preedy
250			_a1st ed. 2023.
264		1	_aCham _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aBiomarkers in Disease: Methods, Discoveries and Applications _x2542-3665
505	0		_aBioinformatics and biomarkers for diabetes -- Network analysis of biomarkers un diabetes.-Biomarkers of insulin action .-Circulating and body fluid biomarkers -glucose.-Fructosamine as a glycaemic marker: features and applications.-Postload plasma glucose and oral glucose tolerance tests (OGTT): applications -- Circulating and body fluid biomarkers -impact of diabetes on pathology -- Biomarkers of diet in relation to diabetes: 5-CIS-, trans-and total lycopene -- Fatty Acid Biomarkers and Type 2 Diabetes -- Biomarkers of retina-related disease in diabetes.-Biomarkers of diabetes-induced nephropathy -- Biomarkers of atherosclerosis in diabetes mellitus -- Advanced glycation end products as biomarkers in diabetes -- Biomarkers of vascular injury in diabetes -- Amino acids as a biomarkers in diabetes .-Adiponectin-leptin ratio and diabetes -- Plasma omentin-1 as a biomarker in type 2 diabetes -- Serpin A12 as a type 2 diabetes biomarker.-Circulating Hsp90 as a potential biomarker of beta cell autoimmunity in type 1 diabetes.-CUBN variants, HES1, CDC73 and GRM5 as biomarkers in diabetes.-Biomarker polymorphisms and diabetic patients -- Epigenetics and 5-Hydroxymethylcytosines as a biomarker in type 2 diabetes. - Longevity biomarkers and applications to diabetes. .
520			_aThis handbook focuses specifically on biomarkers in diabetes and provides a comprehensive understanding of this field. Readers will gain deep insights into bioinformatics and network analysis of biomarkers in diabetes, and will learn about circulating biomarkers in body fluids and specific pathological features of diabetes. Various animal models in diabetes research are also presented. In addition, like the previous volumes in this large reference series, the book provides a comprehensive look at genetics, cellular, and histological variables. The goal of this handbook is to provide information on markers of this disease to facilitate diagnosis, introduce new technologies, and ultimately improve health. It is a must for researchers as well as advanced students and physicians in the field of diabetes and biomarker research and application.
988			_aSpringer_BiomedLife_2023
650		7	_2embne _9138582 _aDiabetes
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-08014-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2024 _dz _eb _zSI