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一种新型指标在代谢疾病临床前模型中药理干预后理解血管健康方面的应用。

Application of a novel index for understanding vascular health following pharmacological intervention in a pre-clinical model of metabolic disease.

作者信息

Menon Nithin J, Halvorson Brayden D, Alimorad Gabrielle H, Frisbee Jefferson C, Lizotte Daniel J, Ward Aaron D, Goldman Daniel, Chantler Paul D, Frisbee Stephanie J

机构信息

Department of Medical Biophysics, London, ON, Canada.

Department of Epidemiology and Biostatistics, London, ON, Canada.

出版信息

Front Pharmacol. 2023 Jan 25;14:1104568. doi: 10.3389/fphar.2023.1104568. eCollection 2023.

DOI:10.3389/fphar.2023.1104568
PMID:36762103
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9905672/
Abstract

While a thorough understanding of microvascular function in health and how it becomes compromised with progression of disease risk is critical for developing effective therapeutic interventions, our ability to accurately assess the beneficial impact of pharmacological interventions to improve outcomes is vital. Here we introduce a novel Vascular Health Index (VHI) that allows for simultaneous assessment of changes to vascular reactivity/endothelial function, vascular wall mechanics and microvessel density within cerebral and skeletal muscle vascular networks with progression of metabolic disease in obese Zucker rats (OZR); under control conditions and following pharmacological interventions of clinical relevance. Outcomes are compared to "healthy" conditions in lean Zucker rats. We detail the calculation of vascular health index, full assessments of validity, and describe progressive changes to vascular health index over the development of metabolic disease in obese Zucker rats. Further, we detail the improvement to cerebral and skeletal muscle vascular health index following chronic treatment of obese Zucker rats with anti-hypertensive (15%-52% for skeletal muscle vascular health index; 12%-48% for cerebral vascular health index; < 0.05 for both), anti-dyslipidemic (13%-48% for skeletal muscle vascular health index; < 0.05), anti-diabetic (12%-32% for cerebral vascular health index; < 0.05) and anti-oxidant/inflammation (41%-64% for skeletal muscle vascular health index; 29%-42% for cerebral vascular health index; < 0.05 for both) drugs. The results present the effectiveness of mechanistically diverse interventions to improve cerebral or skeletal muscle vascular health index in obese Zucker rats and provide insight into the superiority of some pharmacological agents despite similar effectiveness in terms of impact on intended targets. In addition, we demonstrate the utility of including a wider, more integrative approach to the study of microvasculopathy under settings of elevated disease risk and following pharmacological intervention. A major benefit of integrating vascular health index is an increased understanding of the development, timing and efficacy of interventions through greater insight into integrated microvascular function in combination with individual, higher resolution metrics.

摘要

虽然深入了解健康状态下的微血管功能以及随着疾病风险进展其如何受损对于开发有效的治疗干预措施至关重要,但我们准确评估药物干预改善预后的有益影响的能力也至关重要。在此,我们引入一种新型血管健康指数(VHI),它能够在肥胖 Zucker 大鼠(OZR)代谢疾病进展过程中,同时评估脑和骨骼肌血管网络内血管反应性/内皮功能、血管壁力学以及微血管密度的变化;在对照条件下以及进行具有临床相关性的药物干预之后。将结果与瘦 Zucker 大鼠的“健康”状况进行比较。我们详细介绍了血管健康指数的计算方法、有效性的全面评估,并描述了肥胖 Zucker 大鼠代谢疾病发展过程中血管健康指数的渐进性变化。此外,我们详细阐述了用抗高血压药物(骨骼肌血管健康指数提高 15% - 52%;脑血管健康指数提高 12% - 48%;两者均 P < 0.05)、抗血脂异常药物(骨骼肌血管健康指数提高 13% - 48%;P < 0.05)、抗糖尿病药物(脑血管健康指数提高 12% - 32%;P < 0.05)以及抗氧化/抗炎药物(骨骼肌血管健康指数提高 41% - 64%;脑血管健康指数提高 29% - 42%;两者均 P < 0.05)长期治疗肥胖 Zucker 大鼠后,脑和骨骼肌血管健康指数的改善情况。结果表明,在肥胖 Zucker 大鼠中,机制多样的干预措施对改善脑或骨骼肌血管健康指数是有效的,并且尽管在对预期靶点的影响方面效果相似,但能深入了解某些药物的优越性。此外,我们证明了在疾病风险升高以及药物干预的情况下,采用更广泛、更综合的方法研究微血管病变的实用性。整合血管健康指数的一个主要益处是,通过更深入了解综合微血管功能以及个体的高分辨率指标,能更好地理解干预措施的发展、时机和疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c36b/9905672/eddac3d1e13c/fphar-14-1104568-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c36b/9905672/0274b72d40df/fphar-14-1104568-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c36b/9905672/eddac3d1e13c/fphar-14-1104568-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c36b/9905672/0274b72d40df/fphar-14-1104568-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c36b/9905672/fa171b304c2b/fphar-14-1104568-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c36b/9905672/bc9c6ff22021/fphar-14-1104568-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c36b/9905672/38084d3fd1e1/fphar-14-1104568-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c36b/9905672/eddac3d1e13c/fphar-14-1104568-g005.jpg

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本文引用的文献

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Front Physiol. 2022 Dec 6;13:1071813. doi: 10.3389/fphys.2022.1071813. eCollection 2022.
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Effect of Statins on All-Cause Mortality in Adults: A Systematic Review and Meta-Analysis of Propensity Score-Matched Studies.他汀类药物对成人全因死亡率的影响:倾向评分匹配研究的系统评价和荟萃分析
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Use of Multi-Modal Data and Machine Learning to Improve Cardiovascular Disease Care.
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Innovative Approaches to Assess Intermediate Cardiovascular Risk Subjects: A Review From Clinical to Metabolomics Strategies.评估心血管疾病中危风险受试者的创新方法:从临床到代谢组学策略的综述
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