Cerebral arterial architectonics and CFD simulation in mice with type 1 diabetes mellitus of different duration Научная публикация
Журнал |
Scientific Reports
ISSN: 2045-2322 |
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Вых. Данные | Год: 2021, Том: 11, Номер: 1, Номер статьи : 3969, Страниц : 9 DOI: 10.1038/s41598-021-83484-7 | ||||
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Организации |
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Реферат:
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.
Библиографическая ссылка:
Yankova G.
, Tur D.
, Parshin D.
, Cherevko A.
, Akulov A.
Cerebral arterial architectonics and CFD simulation in mice with type 1 diabetes mellitus of different duration
Scientific Reports. 2021. V.11. N1. 3969 :1-9. DOI: 10.1038/s41598-021-83484-7 WOS Scopus РИНЦ OpenAlex
Cerebral arterial architectonics and CFD simulation in mice with type 1 diabetes mellitus of different duration
Scientific Reports. 2021. V.11. N1. 3969 :1-9. DOI: 10.1038/s41598-021-83484-7 WOS Scopus РИНЦ OpenAlex
Идентификаторы БД:
Web of science: | WOS:000621342600002 |
Scopus: | 2-s2.0-85101113878 |
РИНЦ: | 46754306 |
OpenAlex: | W3132624637 |