Literature DB >> 18221886

Are the available experimental models of type 2 diabetes appropriate for a gender perspective?

Flavia Franconi1, Giuseppe Seghieri, Silvia Canu, Elisabetta Straface, Ilaria Campesi, Walter Malorni.   

Abstract

Several experimental models have so far been developed to improve our knowledge of the pathogenetic mechanisms of type 2 diabetes mellitus (T2D), to determine the possible pharmacological targets of this disease and to better evaluate diabetes-associated complications, e.g. the cardiovascular disease. In particular, the study of T2D gained the attention of several groups working with different animal species: rodents, cats or pigs, as well as other non-human primate species. Each of these species provided useful and different clues. However, T2D has to be considered as a gender-associated disease: sex differences play in fact a key role in the onset as well as in the progression of the disease and a higher mortality for cardiovascular diseases is detected in diabetic women with respect to men. The results obtained from all the available animal models appear to only partially address this issue so that the search for more precise information in this respect appears to be mandatory. In this review we summarize these concepts and literature in the field and propose a reappraisal of the various animal models for a study of T2D that would take into consideration a gender perspective.

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Year:  2007        PMID: 18221886     DOI: 10.1016/j.phrs.2007.11.007

Source DB:  PubMed          Journal:  Pharmacol Res        ISSN: 1043-6618            Impact factor:   7.658


  30 in total

1.  Gender differences in the association of ELMO1 genetic variants with type 2 diabetes in Tunisian Arabs.

Authors:  A Turki; S Mzoughi; N Mtitaoui; M Khairallah; H Marmouch; S Hammami; T Mahjoub; W Y Almawi
Journal:  J Endocrinol Invest       Date:  2017-07-27       Impact factor: 4.256

2.  Heterogeneity of genetic associations of CDKAL1 and HHEX with susceptibility of type 2 diabetes mellitus by gender.

Authors:  Hyunju Ryoo; Jiyoung Woo; Younyoung Kim; Chaeyoung Lee
Journal:  Eur J Hum Genet       Date:  2011-02-02       Impact factor: 4.246

3.  Brain energy metabolism parameters in an animal model of diabetes.

Authors:  Luciane B Ceretta; Gislaine Z Réus; Gislaine T Rezin; Giselli Scaini; Emílio L Streck; João Quevedo
Journal:  Metab Brain Dis       Date:  2010-11-19       Impact factor: 3.584

4.  The use of animal models in diabetes research.

Authors:  Aileen J F King
Journal:  Br J Pharmacol       Date:  2012-06       Impact factor: 8.739

Review 5.  Obesity and Aging in Humans and Nonhuman Primates: A Mini-Review.

Authors:  Kelli L Vaughan; Julie A Mattison
Journal:  Gerontology       Date:  2016-04-28       Impact factor: 5.140

Review 6.  Pharmacogenomics, pharmacokinetics and pharmacodynamics: interaction with biological differences between men and women.

Authors:  Flavia Franconi; Ilaria Campesi
Journal:  Br J Pharmacol       Date:  2014-02       Impact factor: 8.739

Review 7.  Sex differences in Alzheimer's disease: Understanding the molecular impact.

Authors:  Carlos A Toro; Larry Zhang; Jiqing Cao; Dongming Cai
Journal:  Brain Res       Date:  2019-05-23       Impact factor: 3.252

8.  DBA2J db/db mice are susceptible to early albuminuria and glomerulosclerosis that correlate with systemic insulin resistance.

Authors:  Mette V Østergaard; Vanda Pinto; Kirsty Stevenson; Jesper Worm; Lisbeth N Fink; Richard J M Coward
Journal:  Am J Physiol Renal Physiol       Date:  2016-11-16

9.  The characterization of high-fat diet and multiple low-dose streptozotocin induced type 2 diabetes rat model.

Authors:  Ming Zhang; Xiao-Yan Lv; Jing Li; Zhi-Gang Xu; Li Chen
Journal:  Exp Diabetes Res       Date:  2009-01-04

10.  Relationships between circulating metabolic intermediates and insulin action in overweight to obese, inactive men and women.

Authors:  Kim M Huffman; Svati H Shah; Robert D Stevens; James R Bain; Michael Muehlbauer; Cris A Slentz; Charles J Tanner; Maragatha Kuchibhatla; Joseph A Houmard; Christopher B Newgard; William E Kraus
Journal:  Diabetes Care       Date:  2009-06-05       Impact factor: 19.112

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