Meng Ling-Bing, Xu Hong-Xuan, Shan Meng-Jie, Hu Gai-Feng, Liu Long-Teng, Chen Yu-Hui, Liu Yun-Qing, Wang Li, Chen Zuoguan, Li Yong-Jun, Gong Tao, Liu De-Ping
1Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
2Graduate School, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Aging Dis. 2022 Apr 1;13(2):373-378. doi: 10.14336/AD.2021.0926. eCollection 2022 Apr.
Atherosclerosis (AS) is a potential inducer of numerous cardio-cerebrovascular diseases. However, little research has investigated the expression of TPM2 in human atherosclerosis samples. A total of 34 clinical samples were obtained, including 17 atherosclerosis and 17 normal artery samples, between January 2018 and April 2021. Bioinformatics analysis was applied to explore the potential role of TPM2 in atherosclerosis. Immunohistochemistry, immunofluorescence, and western blotting assays were used to detect the expression of TPM2 and α-SMA proteins. The mRNA expression levels of TPM2 and α-SMA were detected using RT-qPCR. A neural network and intima-media thickness model were constructed. A strong relationship existed between the intima-media thickness and relative protein expression of TPM2 (P<0.001, R=-0.579). The expression of TPM2 was lower in atherosclerosis than normal artery (P<0.05). Univariate logistic regression showed that TPM2 (OR=0.150, 95% CI: 0.026-0.868, P=0.034) had clear correlations with atherosclerosis. A neural network model was successfully constructed with a relativity of 0.94434. TPM2 might be an independent protective factor for arteries, and one novel biomarker of atherosclerosis.
动脉粥样硬化(AS)是多种心脑血管疾病的潜在诱因。然而,很少有研究调查TPM2在人类动脉粥样硬化样本中的表达情况。在2018年1月至2021年4月期间,共获取了34份临床样本,包括17份动脉粥样硬化样本和17份正常动脉样本。应用生物信息学分析来探究TPM2在动脉粥样硬化中的潜在作用。采用免疫组织化学、免疫荧光和蛋白质印迹分析来检测TPM2和α-SMA蛋白的表达。使用RT-qPCR检测TPM2和α-SMA的mRNA表达水平。构建了神经网络和内膜中层厚度模型。内膜中层厚度与TPM2的相对蛋白表达之间存在强相关性(P<0.001,R=-0.579)。动脉粥样硬化样本中TPM2的表达低于正常动脉(P<0.05)。单因素逻辑回归显示,TPM2(OR=0.150,95%CI:0.026-0.868,P=0.034)与动脉粥样硬化有明显相关性。成功构建了一个相关性为0.94434的神经网络模型。TPM2可能是动脉的独立保护因子,也是动脉粥样硬化的一种新型生物标志物。