血管周围脂肪组织在动脉粥样硬化中的研究进展
Research Progress of Perivascular Adipose Tissue in Atherosclerosis
DOI: 10.12677/ACM.2024.141247, PDF,   
作者: 吴 月, 邢 艳*:新疆医科大学第一附属医院影像中心,新疆 乌鲁木齐
关键词: 脂肪组织动脉粥样硬化血管周围脂肪衰减指数影像组学Adipose Tissue Atherosclerosis Perivascular Fat Attenuation Index Imagomics
摘要: 血管周围脂肪组织(PVAT)包围大部分脉管系统,可以调节血管稳态并且影响动脉粥样硬化的过程。最近的研究表明,在血管壁及其PVAT之间存在双向信号通路,这在心血管诊断和治疗中具有深远的意义。血管炎症在动脉粥样硬化进展和斑块破裂中其主要作用,冠状动脉CT血管造影(CCTA)通过分析冠脉周围脂肪组织(PCAT)密度的变化随之提出一种可以检测冠状动脉炎症的生物标记物——血管周围脂肪衰减指数(FAI),由于冠状动脉硬化还与不良纤维化和血管重构有关,通过分析PCAT细微的组织结构变化提出了放射组学特征,其有望最大化CCTA的诊断和预后效果。在本综述中,我们首先阐述了脂肪组织、炎症及动脉粥样硬化之间的关系,随后我们描述了血管周围脂肪组织和心血管系统之间相互作用的双向作用,介绍了基于CCTA的影像学成像用于心血管风险分层的进展。
Abstract: Perivascular adipose tissue (PVAT) surrounds most of the vasculature and can regulate vascular homeostasis and influence the process of atherosclerosis. Recent studies have shown that there is a bidirectional signaling pathway between blood vessel walls and their PVAT, which has profound implications in cardiovascular diagnosis and therapy. Vascular inflammation plays a major role in the progression of atherosclerosis and plaque rupture. Coronary CT angiography (CCTA) proposes a biomarker that can detect coronary inflammation, the perivascular fat attenuation index (FAI), by analyzing the changes in the density of pericoronary adipose tissue (PCAT). Since coronary arterio-sclerosis is also associated with adverse fibrosis and vascular remodeling, radiomic features are proposed by analyzing subtle structural changes in PCAT, which are expected to maximize the di-agnostic and prognostic effects of CCTA. In this review, we first describe the relationship between adipose tissue, inflammation, and atherosclerosis, then we describe the bidirectional interaction between perivascular adipose tissue and the cardiovascular system, and we present advances in CCTA-based imaging for cardiovascular risk stratification.
文章引用:吴月, 邢艳. 血管周围脂肪组织在动脉粥样硬化中的研究进展[J]. 临床医学进展, 2024, 14(1): 1729-1735. https://doi.org/10.12677/ACM.2024.141247

参考文献

[1] Horimatsu, T., Patel, A.S., Prasad, R., et al. (2018) Remote Effects of Transplanted Perivascular Adipose Tissue on En-dothelial Function and Atherosclerosis. Cardiovascular Drugs and Therapy, 32, 503-510. [Google Scholar] [CrossRef] [PubMed]
[2] Ridker, P.M., Everett, B.M., Thuren, T., et al. (2017) Anti-inflammatory Therapy with Canakinumab for Atherosclerotic Disease. The New England Journal of Medicine, 377, 1119-1131. [Google Scholar] [CrossRef
[3] Tawakol, A., Singh, P., Mojena, M., et al. (2015) HIF-1α and PFKFB3 Mediate a Tight Relationship between Proinflammatory Activation and Anerobic Metabolism in Atherosclerotic Macrophages. Arteriosclerosis, Thrombosis, and Vascular Biology, 35, 1463-1471. [Google Scholar] [CrossRef
[4] Baker, A.R., Silva, N.F., Quinn, D.W., et al. (2006) Human Epicardial Adipose Tissue Expresses a Pathogenic Profile of Adipocytokines in Patients with Cardiovascular Disease. Cardiovascular Diabetology, 5, Article No. 1. [Google Scholar] [CrossRef] [PubMed]
[5] Oikonomou, E.K., Williams, M.C., Kotanidis, C.P., et al. (2019) A Novel Machine Learning-Derived Radiotranscriptomic Signature of Perivascular Fat Improves Cardiac Risk Prediction Using Coronary CT Angiography. European Heart Journal, 40, 3529-3543. [Google Scholar] [CrossRef] [PubMed]
[6] Oikonomou, E.K., West, H.W. and Antoniades, C. (2019) Cardiac Computed Tomography: Assessment of Coronary Inflammation and Other Plaque Features. Arteriosclerosis, Throm-bosis, and Vascular Biology, 39, 2207-2219. [Google Scholar] [CrossRef
[7] Li, N., Dong, X., Zhu, C., et al. (2023) Model Development and Validation of Noninvasive Parameters Based on Coronary Computed Tomography Angiography to Predict Culprit Lesions in Acute Coronary Syndromes within 3 Years: Value of Plaque Characteristics, Hemodynamics and Pericoro-nary Adipose Tissue. Quantitative Imaging in Medicine and Surgery, 13, 4325-4338. [Google Scholar] [CrossRef] [PubMed]
[8] Zhang, W.Z., Li, P.L., Gao, Y., et al. (2023) Relationships between the Coronary Fat Attenuation Index for Patients with Heart-Related Disease Measured Automatically on Coronary Computed Tomography Angiography and Coronary Adverse Events and Degree of Coronary Stenosis. Quantitative Imaging in Medicine and Surgery, 13, 8218-8229. [Google Scholar] [CrossRef] [PubMed]
[9] Hubert, H.B., Feinleib, M., McNamara, P.M. and Castelli, W.P. (1983) Obesity as an Independent Risk Factor for Cardiovascular Disease: A 26-Year Follow-Up of Participants in the Fram-ingham Heart Study. Circulation, 67, 968-977. [Google Scholar] [CrossRef
[10] Bastien, M., Poirier, P., Lemieux, I. and Després, J.P. (2014) Over-view of Epidemiology and Contribution of Obesity to Cardiovascular Disease. Progress in Cardiovascular Diseases, 56, 369-381. [Google Scholar] [CrossRef] [PubMed]
[11] Fuster, J.J., Ouchi, N., Gokce, N. and Walsh, K. (2016) Obesi-ty-Induced Changes in Adipose Tissue Microenvironment and Their Impact on Cardiovascular Disease. Circulation Re-search, 118, 1786-1807. [Google Scholar] [CrossRef
[12] Lasar, D., Julius, A., Fromme, T. and Klingenspor, M. (2013) Browning Attenuates Murine White Adipose Tissue Expansion during Postnatal Development. Biochimica et Bi-ophysica Acta (BBA)—Molecular and Cell Biology of Lipids, 1831, 960-968. [Google Scholar] [CrossRef] [PubMed]
[13] Frontini, A., Vitali, A., Perugini, J., et al. (2013) White-to-Brown Transdifferentiation of Omental Adipocytes in Patients Affected by Pheochromocytoma. Biochimica et Biophysica Acta (BBA)—Molecular and Cell Biology of Lipids, 1831, 950-959. [Google Scholar] [CrossRef] [PubMed]
[14] Kershaw, E.E. and Flier, J.S. (2004) Adipose Tissue as an Endo-crine Organ. The Journal of Clinical Endocrinology & Metabolism, 89, 2548-2556. [Google Scholar] [CrossRef] [PubMed]
[15] Frigolet, M.E. and Gutierrez-Aguilar, R. (2020) The Colors of Adipose Tissue. Gaceta Médica de México, 156, 142-149. [Google Scholar] [CrossRef
[16] McGown, C., Birerdinc, A. and Younossi, Z.M. (2014) Adipose Tissue as an Endocrine Organ. Clinics in Liver Disease, 18, 41-58. [Google Scholar] [CrossRef] [PubMed]
[17] Martins, F.F., Souza-Mello, V., Aguila, M.B. and Manda-rim-de-Lacerda, C.A. (2023) Brown Adipose Tissue as an Endocrine Organ: Updates on the Emerging Role of Bato-kines. Hormone Molecular Biology and Clinical Investigation, 44, 219-227. [Google Scholar] [CrossRef] [PubMed]
[18] Langin, D. and Arner, P. (2006) Importance of TNFα and Neutral Lipases in Human Adipose Tissue Lipolysis. Trends in Endocrinology & Metabolism, 17, 314-320. [Google Scholar] [CrossRef] [PubMed]
[19] Kawai, T., Autieri, M.V. and Scalia, R. (2021) Adipose Tissue In-flammation and Metabolic Dysfunction in Obesity. Am J Physiol Cell Physiol, 320, C375-C391. [Google Scholar] [CrossRef] [PubMed]
[20] Marlatt, K.L. and Ravussin, E. (2017) Brown Adipose Tissue: An Update on Recent Findings. Current Obesity Reports, 6, 389-396. [Google Scholar] [CrossRef] [PubMed]
[21] Szasz, T. and Webb, R.C. (2012) Perivascular Adipose Tissue: More than Just Structural Support. Clinical Science, 122, 1-12. [Google Scholar] [CrossRef
[22] Spiroglou, S.G., Kostopoulos, C.G., Varakis, J.N. and Papadaki, H.H. (2010) Adipokines in Periaortic and Epicardial Adipose Tissue: Differential Expression and Relation to Atherosclerosis. Journal of Atherosclerosis and Thrombosis, 17, 115-130. [Google Scholar] [CrossRef] [PubMed]
[23] Libby, P. (2021) The Changing Landscape of Atherosclerosis. Nature, 592, 524-533. [Google Scholar] [CrossRef] [PubMed]
[24] Lin, A., Kolossvary, M., Yuvaraj, J., et al. (2020) Myocardial Infarction Associates with a Distinct Pericoronary Adipose Tissue Radiomic Phenotype: A Prospective Case-Control Study. JACC: Cardiovascular Imaging, 13, 2371-2383. [Google Scholar] [CrossRef] [PubMed]
[25] Margaritis, M., Antonopoulos, A.S., Digby, J., et al. (2013) Inter-actions between Vascular Wall and Perivascular Adipose Tissue Reveal Novel Roles for Adiponectin in the Regulation of Endothelial Nitric Oxide Synthase Function in Human Vessels. Circulation, 127, 2209-2221. [Google Scholar] [CrossRef
[26] Kaptoge, S., Di Angelantonio, E., Lowe, G., et al. (2010) C-Reactive Protein Concentration and Risk of Coronary Heart Disease, Stroke, and Mortality: An Individual Par-ticipant Meta-Analysis. Lancet, 375, 132-140. [Google Scholar] [CrossRef
[27] Ridker, P.M., Buring, J.E., Rifai, N., et al. (2007) Develop-ment and Validation of Improved Algorithms for the Assessment of Global Cardiovascular Risk in Women: The Reyn-olds Risk Score. JAMA, 297, 611-619. [Google Scholar] [CrossRef] [PubMed]
[28] Kaptoge, S., Seshasai, S.R., Gao, P., et al. (2014) Inflammatory Cyto-kines and Risk of Coronary Heart Disease: New Prospective Study and Updated Meta-Analysis. European Heart Jour-nal, 35, 578-589. [Google Scholar] [CrossRef] [PubMed]
[29] Van Tassell, B.W., Toldo, S., Mezzaroma, E. and Abbate, A. (2013) Targeting Interleukin-1 in Heart Disease. Circulation, 128, 1910-1923. [Google Scholar] [CrossRef
[30] Knuuti, J., Wijns, W., Saraste, A., et al. (2020) 2019 ESC Guidelines for the Diagnosis and Management of Chronic Coronary Syndromes. European Heart Journal, 41, 407-477. [Google Scholar] [CrossRef] [PubMed]
[31] Rosenbaum, D., Millon, A. and Fayad, Z.A. (2012) Molecular Imaging in Atherosclerosis: FDG PET. Current Atherosclerosis Reports, 14, 429-437. [Google Scholar] [CrossRef] [PubMed]
[32] Antonopoulos, A.S., Sanna, F., Sabharwal, N., et al. (2017) De-tecting Human Coronary Inflammation by Imaging Perivascular Fat. Science Translational Medicine, 9, eaal2658. [Google Scholar] [CrossRef] [PubMed]
[33] Oikonomou, E.K., Marwan, M., Desai, M.Y., et al. (2018) Non-Invasive Detection of Coronary Inflammation Using Computed Tomography and diction of Residual Cardiovascular Risk (the CRISP CT Study): A Post-Hoc Analysis of Prospective Outcome Data. The Lancet, 392, 929-939. [Google Scholar] [CrossRef
[34] Marwan, M., Hell, M., Schuhback, A., et al. (2017) CT At-tenuation of Pericoronary Adipose Tissue in Normal versus Atherosclerotic Coronary Segments as Defined by Intravas-cular Ultrasound. Journal of Computer Assisted Tomography, 41, 762-767. [Google Scholar] [CrossRef
[35] Goeller, M., Achenbach, S., Cadet, S., et al. (2018) Peri-coronary Adipose Tissue Computed Tomography Attenuation and High-Risk Plaque Characteristics in Acute Coronary Syndrome Compared with Stable Coronary Artery Disease. JAMA Cardiology, 3, 858-863. [Google Scholar] [CrossRef] [PubMed]
[36] Zhang, R., Ju, Z., Li, Y., et al. (2022) Pericoronary Fat Attenua-tion Index Is Associated with Plaque Parameters and Stenosis Severity in Patients with Acute Coronary Syndrome: A Cross-Sectional Study. Journal of Thoracic Disease, 14, 4865-4876. [Google Scholar] [CrossRef] [PubMed]
[37] Gaibazzi, N., Martini, C., Botti, A., et al. (2019) Coronary Inflammation by Computed Tomography Pericoronary Fat Attenuation in MINOCA and Tako-Tsubo Syndrome. Journal of the Amer-ican Heart Association, 8, e13235. [Google Scholar] [CrossRef
[38] Lambin, P., Rios-Velazquez, E., Leijenaar, R., et al. (2012) Radi-omics: Extracting More Information from Medical Images Using Advanced Feature Analysis. European Journal of Cancer, 48, 441-446. [Google Scholar] [CrossRef] [PubMed]
[39] Shang, J., Ma, S., Guo, Y., et al. (2022) Prediction of Acute Coro-nary Syndrome within 3 Years Using Radiomics Signature of Pericoronary Adipose Tissue Based on Coronary Com-puted Tomography Angiography. European Radiology, 32, 1256-1266. [Google Scholar] [CrossRef] [PubMed]
[40] Antoniades, C., Antonopoulos, A.S. and Deanfield, J. (2020) Imaging Residual Inflammatory Cardiovascular Risk. Eur opean Heart Journal, 41, 748-758. [Google Scholar] [CrossRef] [PubMed]