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Distinct lipid profiles of radiation-induced carotid plaques from atherosclerotic carotid plaques revealed by UPLC-QTOF-MS and DESI-MSI.

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机构: [a]Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China [b]Department of Neurosurgery, Liaocheng Brain Hospital, China [c]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China [d]National Center for Occupational Safety and Health, NHC (National Center for Occupational Medicine of CoalIndustry, NHC), Beijing, China [e]Zhongguancun Biological and Medical Big Data Center, Beijing, China [f]Bao Feng Key Laboratory of Genetics and Metabolism, Beijing, China [g]Zhongyuanborui Key Laborotory of Genetics and Metabolism, Guangdong-Macao In-depth Cooperation Zone in Hengqin, China [h]National Clinical Research Center for GeriatricDiseases, Beijing, China [i]Department of Interventional Neuroradiology, Xuanwu Hospital, Capital Medical University, Beijing, China [j]China International Neuroscience Institute(China-INI), Beijing, China
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Radiotherapy is a standard treatment for head and neck tumors that significantly increases patients' long-term survival rates. However, late cerebrovascular complications, especially carotid artery stenosis (CAS), have gained increasing attention. Investigation of biomarkers of radiation-induced CAS may help to elucidate the mechanism by which radiation induces damage to blood vessels and identify possible preventive measures against such damage.In this study, we used lipidomics strategy to characterize the lipids present in 8 radiation-induced carotid plaques (RICPs) and 12 atherosclerotic carotid plaques (ASCPs). We also used desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) to map the spatial distribution of the screened lipids from 2 RICPs samples and 2 ASCPs samples.The results showed that 31 metabolites in RICPs were significantly higher than that in ASCPs, 24 of which were triglycerides (TGs). We used four machine learning models to select potential indicators from the 31 metabolites. Six TGs [TG(17:2/17:2/18:0), TG(17:1/17:2/18:0), TG(17:0/17:2/18:0), TG(17:2/17:2/20:0), TG(17:1/17:2/20:0), TG(15:0/22:0/22:2)] were found to be the potential markers for distinguishing RICPs and ASCPs (AUC = 0.83). The DESI-MSI results suggested that the 6 TGs were localized in the collagen fiber regions and confirmed the differences of these TGs between the two kinds of plaques.The 6 TGs primarily localized in the collagen fiber regions of plaques are likely to be potential indicators for the differentiation of RICPs from ASCPs which may have implications in the mechanisms and possible preventive measures against RICPs.Copyright © 2021 Elsevier B.V. All rights reserved.

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出版当年[2021]版:
大类 | 2 区 医学
小类 | 2 区 肿瘤学 2 区 核医学
最新[2023]版:
大类 | 1 区 医学
小类 | 2 区 肿瘤学 2 区 核医学
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出版当年[2020]版:
Q1 ONCOLOGY Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q1 ONCOLOGY Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2020版] 出版当年五年平均 出版前一年[2019版] 出版后一年[2021版]

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第一作者机构: [a]Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China [b]Department of Neurosurgery, Liaocheng Brain Hospital, China [i]Department of Interventional Neuroradiology, Xuanwu Hospital, Capital Medical University, Beijing, China
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通讯机构: [a]Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China [c]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China [d]National Center for Occupational Safety and Health, NHC (National Center for Occupational Medicine of CoalIndustry, NHC), Beijing, China [h]National Clinical Research Center for GeriatricDiseases, Beijing, China [i]Department of Interventional Neuroradiology, Xuanwu Hospital, Capital Medical University, Beijing, China [j]China International Neuroscience Institute(China-INI), Beijing, China [*a]Department of Neurosurgery and Department of Interventional Neuroradiology, Xuanwu Hospital of Capital Medical University, 45 Changchun Street, Beijing, China [*b]Department of Neurology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, 45 Changchun Street, Beijing, China [*c]National Center for Occupational Safety and Health, NHC (National Center for Occupational Medicine of Coal Industry, NHC), 27 Shilong Road, Beijing, China
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