临床动脉粥样硬化的潜在靶点：来自TPM2的新见解 数据集（2018-2021）

2018年1月至2021年4月，共获得34例临床样本，其中动脉粥样硬化17例，正常动脉17例。应用生物信息学分析探讨TPM2在动脉粥样硬化中的潜在作用。采用免疫组化、免疫荧光、western blotting检测TPM2和α-SMA蛋白的表达。RT-qPCR检测TPM2和α-SMA mRNA表达水平。建立神经网络和内膜-中膜厚度模型。内膜-中膜厚度与TPM2蛋白相对表达量之间存在较强的相关性（P<0.001, R=-0.579）。动脉粥样硬化组TPM2表达低于正常动脉组（P<0.05）。单因素logistic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。成功构建了神经网络模型，相关性为0.94434。

From January 2018 to April 2021, a total of 34 clinical samples were collected, including 17 atherosclerotic samples and 17 normal arterial samples. Bioinformatic analysis was conducted to explore the potential role of TPM2 in atherosclerosis. Immunohistochemistry (IHC), immunofluorescence (IF) and Western blotting were employed to detect the protein expression levels of TPM2 and α-SMA. RT-qPCR was performed to quantify the mRNA expression levels of TPM2 and α-SMA. Neural network and intima-media thickness (IMT) models were established. A strong correlation was found between intima-media thickness and the relative expression of TPM2 protein (P<0.001, R=-0.579). The expression of TPM2 in the atherosclerotic group was significantly lower than that in the normal arterial group (P<0.05). Univariate logistic regression analysis demonstrated that TPM2 (OR=0.150, 95% CI: 0.026-0.868, P=0.034) was significantly associated with atherosclerosis. The neural network model was successfully constructed, with a correlation coefficient of 0.94434.

搜集汇总

背景与挑战

背景概述

该数据集包含2018年至2021年收集的34例临床样本（17例动脉粥样硬化，17例正常动脉），通过生物信息学分析、免疫组化等方法研究TPM2在动脉粥样硬化中的作用。研究发现TPM2表达与动脉粥样硬化显著相关，并成功构建了神经网络模型。数据包括基因表达数据、临床信息和镜检图片，总大小为80.58 MB。