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Cerebral arterial architectonics and CFD simulation in mice with type 1 diabetes mellitus of different duration.

ABSTRACT: Type 1 diabetes is a chronic autoimmune disease that affects tens of millions of people. Diabetes mellitus is one of the strongest factors in the development of cerebrovascular diseases. In this study we used NOD.CB17 Prkdcscid mice and the pharmacological model of type 1 diabetes mellitus of different duration to study changes in the cerebral vasculature. We used two combined approaches using magnetic resonance angiography both steady and transient CFD blood flow modeling. We identified the influence of type 1 diabetes on the architectonics and hemodynamics of the large blood vessels of the brain as the disease progresses. For the first time, we detected a statistically significant change in angioarchitectonics (the angles between the vessels of the circle of Willis, cross-sections areas of vessels) and hemodynamic (maximum blood flow rate, hydraulic resistance) in animals with diabetes duration of 2 months, that is manifested by the development of asymmetry of cerebral blood flow. The result shows the negative effect of diabetes on cerebral circulation as well as the practicability of CFD modeling. This may be of extensive interest, in pharmacological and preclinical studies.

SUBMITTER: Yankova G

PROVIDER: S-EPMC7889636 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Cerebral arterial architectonics and CFD simulation in mice with type 1 diabetes mellitus of different duration.

Yankova Galina G Tur Darya D Parshin Daniil D Cherevko Alexander A Akulov Andrey A

Scientific reports 20210217 1

Type 1 diabetes is a chronic autoimmune disease that affects tens of millions of people. Diabetes mellitus is one of the strongest factors in the development of cerebrovascular diseases. In this study we used NOD.CB17 Prkdcscid mice and the pharmacological model of type 1 diabetes mellitus of different duration to study changes in the cerebral vasculature. We used two combined approaches using magnetic resonance angiography both steady and transient CFD blood flow modeling. We identified the inf ...[more]

PMID: 33597584

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Project description:Purpose:The objective of our cross-sectional study is to explore the adherence behavior of patients with type 2 diabetes mellitus (T2DM) by examining the association between the various types of adherence. The success of diabetic therapy partly relies on patient motivation, psych-odemographic variables (self-efficacy, health literacy, and health locus of control [HLOC]), and adherence. The aim of our research was to explore the attitudes of T2DM patients toward medication and lifestyle therapy, thus gaining a deeper insight into the role of adherence-determining parameters in disease management. Patients and methods:The sample for the present study consisted of 113 T2DM inpatients (75 women and 38 men) with a mean age of 60.56 years (SD=12.94, range: 20-85 years) diagnosed with T2DM for an average of 13 years (SD=8.23). Participants completed the Diabetes Adherence Questionnaire conceptualized by the research team in accordance with the mapping of psychological and psychosocial parameters. We examined the associations between variables using Spearman's rank correlation. Multivariate regression analysis was used to examine predictive variables for adherent behavior. In addition, we attempted to examine factors with a negative effect on adherence using factor analysis. Results:Based on our results, a high level of medication adherence negatively correlated with lifestyle adherence. Multivariate regression analysis showed that blood glucose monitoring adherence is mostly predicted by social-external HLOC, diabetes self-efficacy, and internal HLOC, while dietary adherence is predicted by the patient's self-efficacy and duration of the illness. Additionally, understanding and following the diabetes treatment were significantly associated with dietary adherence and high levels of patient self-efficacy, while health literacy was mostly predicted by internal HLOC. Conclusion:Adherence to medication, diet, glucose monitoring, and physical exercise showed different levels in T2DM patients and were in association with psychodemographic factors.

Dataset Information

Cerebral arterial architectonics and CFD simulation in mice with type 1 diabetes mellitus of different duration.

Publications

Cerebral arterial architectonics and CFD simulation in mice with type 1 diabetes mellitus of different duration.

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