Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Streptozotocin-induced Type 1 and 2 Diabetes Mellitus Mouse Models Show Different Functional, Cellular and Molecular Patterns of Diabetic Cardiomyopathy

ABSTRACT: The main cause of morbidity and mortality in diabetes mellitus (DM) are cardiovascular complications. Diabetic cardiomyopathy (DCM) remains incompletely understood. Animal models have been crucial in exploring DCM pathophysiology while identifying potential therapeutic targets. Streptozotocin (STZ) has been widely used to produce experimental models of both type 1 and type 2 DM (T1DM and T2DM). Here we compared these two models for their effects on cardiac structure, function, and transcriptome. Different doses of STZ and different diet chows were used to generate T1DM and T2DM in C57BL/6J mice. Normal euglycemic and non-obese sex and age-matched mice served as controls (CTRL). Immunohistochemistry, RT-PCR, and RNA-Seq were employed to compare hearts from the three animal groups. STZ-induced T1DM and T2DM differently affect left ventricular function and myocardial performance. T1DM displays an exaggerated apoptotic cardiomyocyte (CM) death and reactive hypertrophy and fibrosis along with increased cardiac oxidative stress, CM DNA damage and senescence when compared to T2DM mice. T1DM and T2DM differently affect whole cardiac transcriptome. In conclusion, STZ-induced T1DM and T2DM mouse models show significant differences in cardiac remodeling, function and whole transcriptome. These differences could be of key relevance when choosing an animal model to study specific features of DCM.

INSTRUMENT(S): Illumina HiSeq 1000

ORGANISM(S): Mus musculus

SUBMITTER: Giorgio Giurato

PROVIDER: E-MTAB-12558 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Type 1 diabetes mellitus (T1DM) results from immune mediated destruction of pancreatic beta cells. However, clinical and immunologic phenotypes of T1DM are variable. Several auto-antibodies including GADA, IA-2A, and ZnT8A, were identified in T1DM, but the prevalence of these auto-antibodies varied for a broad spectrum of T1DM. Here, we systemically profiled auto-antibodies from serum samples of 16 T1DM, 16 type 2 diabetes (T2DM) patients, and 27 healthy controls with normal glucose tolerance (NGT) using protein microarrays containing 9,480 proteins. Among 9,480 different proteins on the array, we identified novel auto-antibody candidates (EEF1A1-AAb and UBE2L3-AAb) by M-test coupled with PLS-DA. These auto-antibodies were highly present in T1DM than controls and detected in 40% of T1DM without GADA. Furthermore, these auto-antibodies might help to differentiate subtype of T1DM when combined with GADA. These novel auto-antibodies provide new diagnostic information of T1DM, as well as new insights into the pathogenesis of T1DM. Auto-antibodies from serum samples were profiled using a high-density, fluorescence-based protein microarray containing duplicate spots of 9,480 human proteins derived from the Ultimate ORF collection The cohort of patients and controls consisted of 16 T1DM, 16 T2DM patients, and 27 healthy controls with NGT. This cohort was used to screen candidate auto-antibodies using protein microarrays (ProtoArray platform version 5.0, Invitrogen Corp., Carlsbad, CA). Serum samples were drawn from T1DM patients who have 1) fasting C-peptide level <0.3 nmol/L or serum C-peptide <0.6 nmol/L after glucagon loading, 2) initiation of insulin treatment within six months after diagnosis, and 3) duration of diabetes M-bM-^IM-$12 months. Mean age of T1DM in the first cohort was 42 M-BM-1 16 years. The control serum samples were obtained from T2DM patients who were treated only with oral anti-diabetic drug at least 5 years and from NGTs who had no history of diabetes, no first-degree relatives with diabetes, a fasting plasma glucose concentration of <6.1 mmol/l, and a HbA1c value of <5.8%.

Dataset Information

Streptozotocin-induced Type 1 and 2 Diabetes Mellitus Mouse Models Show Different Functional, Cellular and Molecular Patterns of Diabetic Cardiomyopathy

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure