Literature DB >> 34105079

The Relationship of Morphological-Hemodynamic Characteristics, Inflammation, and Remodeling of Aneurysm Wall in Unruptured Intracranial Aneurysms.

Qingyuan Liu1,2, Yisen Zhang3, Junhua Yang1,2, Yi Yang1,2, Maogui Li1,2, Shanwen Chen1,2, Pengjun Jiang4,5, Nuochuan Wang6, Yanan Zhang6, Jia Liu7, Jun Wu1,2, Shuo Wang8,9.   

Abstract

Aneurysm wall remodeling (AWR) is an important pathological characteristic in aneurysm wall, which was characterized by abnormal histological structure and inflammation infiltration. In the present study, the aim is to determine the relationships of morphological-hemodynamic characteristics, inflammation, and AWR in intracranial aneurysms (IAs), as well as the pathological basis of morphological-hemodynamic predictors to achieve IA development. For this end, 113 unruptured IAs were prospectively collected from 110 cases. In addition, patient-specific computational fluid dynamics and geometry were adopted to determine hemodynamic and morphological parameters. Moreover, Hematoxylin-Eosin staining was performed to identify the AWR. By performing immunofluorescence, the inflammatory markers were detected. Masson staining was conducted to characterize the characteristics of atherosclerosis in aneurysm wall. To demonstrate the parameters regarding the AWR, a multivariate logistic analysis was conducted. Besides, correlation analyses were conducted to verify the relationship between morphological-hemodynamic and pathological characteristics. For 113 unruptured IAs, no difference was identified in baseline information. AWR was demonstrated in 92 (81.4%) IAs. To be specific, the aneurysm size (odds ratio (OR), 2.63; confidence interval (CI), 1.04-6.67; P = 0.041), size ratio (SR; OR, 1.95; CI, 1.38-2.76; P < 0.001), normalized wall shear stress average (NWSSA; OR, 0.05; CI, 0.01-0.15; P = 0.007), and relative resident time (RRT; OR, 1.28; CI, 1.07-1.53; P = 0.007) were proved as the factors of AWR. As revealed from the results of immunofluorescence, aneurysm size, SR, NWSSA, and RRT were significantly correlated with the level of inflammation in IA tissues. Furthermore, Masson staining revealed that atherosclerosis area in IA tissues and NWSSA was correlated with RRT. In this study, SR, NWSSA, and RRT were demonstrated as the risk factors of AWR. The mentioned parameters could also reflect the characteristics of inflammation and atherosclerosis in aneurysm wall as well. This study revealed that biomechanical stress and inflammation in aneurysm wall are correlated, which might suggest the pathological evidence of morphological-hemodynamic predictors for IA development.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Aneurysm wall remodeling; Hemodynamics; Inflammation; Intracranial aneurysm; Morphology

Mesh:

Year:  2021        PMID: 34105079     DOI: 10.1007/s12975-021-00917-1

Source DB:  PubMed          Journal:  Transl Stroke Res        ISSN: 1868-4483            Impact factor:   6.829


  5 in total

1.  Neutrophil-to-Lymphocyte Ratio Is Associated With Circumferential Wall Enhancement of Unruptured Intracranial Aneurysm.

Authors:  Xiao-Bing Wu; Jing-Lian Zhong; Sheng-Wen Wang; Yun Su; Pei-Sheng Chen; Zhong-Jun Li; Chun Xiang; Wang-Qing Cai; Zhong-Song Shi
Journal:  Front Neurol       Date:  2022-05-20       Impact factor: 4.086

2.  Hemodynamic Characteristic Analysis of Aneurysm Wall Enhancement in Unruptured Middle Cerebral Artery Aneurysm.

Authors:  Weiying Zhong; Yiming Du; Hong Kuang; Ming Liu; Feng Xue; Xue Bai; Donghai Wang; Wandong Su; Yunyan Wang
Journal:  Front Neurol       Date:  2022-05-09       Impact factor: 4.086

3.  Serum IL-1, Pyroptosis and Intracranial Aneurysm Wall Enhancement: Analysis Integrating Radiology, Serum Cytokines and Histology.

Authors:  Qingyuan Liu; Yisen Zhang; Chengcheng Zhu; Weiqi Liu; Xuesheng Ma; Jingang Chen; Shaohua Mo; Linggen Dong; Nuochuan Wang; Jun Wu; Peng Liu; Hongwei He; Shuo Wang
Journal:  Front Cardiovasc Med       Date:  2022-01-27

4.  Study on Discrete Dynamic Modeling of College Students' Innovative Employment Security Mechanism under the Environment of Internet of Things.

Authors:  Liming Gu; Xue Chen
Journal:  Comput Intell Neurosci       Date:  2022-04-15

5.  Numerical Assessment of the Risk of Abnormal Endothelialization for Diverter Devices: Clinical Data Driven Numerical Study.

Authors:  Denis Tikhvinskii; Julia Kuianova; Dmitrii Kislitsin; Kirill Orlov; Anton Gorbatykh; Daniil Parshin
Journal:  J Pers Med       Date:  2022-04-18
  5 in total

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