Adrenal SGLT1 or SGLT2 as predictors of atherosclerosis under chronic stress based on a computer algorithm
Background Chronic stress promotes the development of atherosclerosis, causing disruptions in the body’s hormone levels and changes in the structural function of organs. Objective The purpose of this study was to investigate the pathological changes in the adrenal gland in a model of atherosclerosis...
| الحاوية / القاعدة: | PeerJ |
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| التنسيق: | مقال |
| اللغة: | الإنجليزية |
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PeerJ Inc.
2023-08-01
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| الوصول للمادة أونلاين: | https://peerj.com/articles/15647.pdf |
| _version_ | 1852664041448669184 |
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| author | Jianyi Li Lingbing Meng Dishan Wu Hongxuan Xu Xing Hu Gaifeng Hu Yuhui Chen Jiapei Xu Tao Gong Deping Liu |
| author_facet | Jianyi Li Lingbing Meng Dishan Wu Hongxuan Xu Xing Hu Gaifeng Hu Yuhui Chen Jiapei Xu Tao Gong Deping Liu |
| author_sort | Jianyi Li |
| collection | DOAJ |
| container_title | PeerJ |
| description | Background Chronic stress promotes the development of atherosclerosis, causing disruptions in the body’s hormone levels and changes in the structural function of organs. Objective The purpose of this study was to investigate the pathological changes in the adrenal gland in a model of atherosclerosis under chronic stress and to verify the expression levels of Sodium-glucose cotransporter (SGLT) 1 and SGLT2 in the adrenal gland and their significance in the changes of adrenal gland. Methods The model mice were constructed by chronic unpredictable stress, high-fat diet, and Apoe-/- knockout, and they were tested behaviorally at 0, 4, 8 and 12 weeks. The state of the abdominal artery was examined by ultrasound, and the pathological changes of the aorta and adrenal glands were observed by histological methods, and the expression levels and distribution of SGLT1 and SGLT2 in the adrenal gland were observed and analyzed by immunofluorescence and immunohistochemistry. The predictive value of SGLT1 and SGLT2 expression levels on intima-media thickness, internal diameter and adrenal abnormalities were verified by receiver operating characteristic (ROC) curves, support vector machine (SVM) and back-propagation (BP) neural network. Results The results showed that chronic stress mice had elevated expression levels of SGLT1 and SGLT2. The model mice developed thickening intima-media and smaller internal diameter in the aorta, and edema, reticular fiber rupture, increased adrenal glycogen content in the adrenal glands. More importantly, analysis of ROC, SVM and BP showed that SGLT1 and SGLT2 expression levels in the adrenal glands could predict the above changes in the aorta and were also sensitive and specific predictors of adrenal abnormalities. Conclusion SGLT1 and SGLT2 could be potential biomarkers of adrenal injury in atherosclerosis under chronic stress. |
| format | Article |
| id | doaj-art-e062fbd16150419a962bb91f2fa6e239 |
| institution | Directory of Open Access Journals |
| issn | 2167-8359 |
| language | English |
| publishDate | 2023-08-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| spelling | doaj-art-e062fbd16150419a962bb91f2fa6e2392025-08-19T21:35:48ZengPeerJ Inc.PeerJ2167-83592023-08-0111e1564710.7717/peerj.15647Adrenal SGLT1 or SGLT2 as predictors of atherosclerosis under chronic stress based on a computer algorithmJianyi Li0Lingbing Meng1Dishan Wu2Hongxuan Xu3Xing Hu4Gaifeng Hu5Yuhui Chen6Jiapei Xu7Tao Gong8Deping Liu9Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Neurology, Beijing Hospital, National Center of Gerontology, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Neurology, Beijing Hospital, National Center of Gerontology, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, ChinaBackground Chronic stress promotes the development of atherosclerosis, causing disruptions in the body’s hormone levels and changes in the structural function of organs. Objective The purpose of this study was to investigate the pathological changes in the adrenal gland in a model of atherosclerosis under chronic stress and to verify the expression levels of Sodium-glucose cotransporter (SGLT) 1 and SGLT2 in the adrenal gland and their significance in the changes of adrenal gland. Methods The model mice were constructed by chronic unpredictable stress, high-fat diet, and Apoe-/- knockout, and they were tested behaviorally at 0, 4, 8 and 12 weeks. The state of the abdominal artery was examined by ultrasound, and the pathological changes of the aorta and adrenal glands were observed by histological methods, and the expression levels and distribution of SGLT1 and SGLT2 in the adrenal gland were observed and analyzed by immunofluorescence and immunohistochemistry. The predictive value of SGLT1 and SGLT2 expression levels on intima-media thickness, internal diameter and adrenal abnormalities were verified by receiver operating characteristic (ROC) curves, support vector machine (SVM) and back-propagation (BP) neural network. Results The results showed that chronic stress mice had elevated expression levels of SGLT1 and SGLT2. The model mice developed thickening intima-media and smaller internal diameter in the aorta, and edema, reticular fiber rupture, increased adrenal glycogen content in the adrenal glands. More importantly, analysis of ROC, SVM and BP showed that SGLT1 and SGLT2 expression levels in the adrenal glands could predict the above changes in the aorta and were also sensitive and specific predictors of adrenal abnormalities. Conclusion SGLT1 and SGLT2 could be potential biomarkers of adrenal injury in atherosclerosis under chronic stress.https://peerj.com/articles/15647.pdfSGLT1SGLT2Adrenal glandAtherosclerosisChronic stressPredictors |
| spellingShingle | Jianyi Li Lingbing Meng Dishan Wu Hongxuan Xu Xing Hu Gaifeng Hu Yuhui Chen Jiapei Xu Tao Gong Deping Liu Adrenal SGLT1 or SGLT2 as predictors of atherosclerosis under chronic stress based on a computer algorithm SGLT1 SGLT2 Adrenal gland Atherosclerosis Chronic stress Predictors |
| title | Adrenal SGLT1 or SGLT2 as predictors of atherosclerosis under chronic stress based on a computer algorithm |
| title_full | Adrenal SGLT1 or SGLT2 as predictors of atherosclerosis under chronic stress based on a computer algorithm |
| title_fullStr | Adrenal SGLT1 or SGLT2 as predictors of atherosclerosis under chronic stress based on a computer algorithm |
| title_full_unstemmed | Adrenal SGLT1 or SGLT2 as predictors of atherosclerosis under chronic stress based on a computer algorithm |
| title_short | Adrenal SGLT1 or SGLT2 as predictors of atherosclerosis under chronic stress based on a computer algorithm |
| title_sort | adrenal sglt1 or sglt2 as predictors of atherosclerosis under chronic stress based on a computer algorithm |
| topic | SGLT1 SGLT2 Adrenal gland Atherosclerosis Chronic stress Predictors |
| url | https://peerj.com/articles/15647.pdf |
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