| Literature DB >> 35371599 |
Ling-Bing Meng1,2, Hong-Xuan Xu1, Meng-Jie Shan2,3, Gai-Feng Hu4, Long-Teng Liu5, Yu-Hui Chen6, Yun-Qing Liu1, Li Wang6, Zuoguan Chen7, Yong-Jun Li7, Tao Gong6, De-Ping Liu1,2.
Abstract
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. Copyright:Entities:
Keywords: Atherosclerosis; artery; cardio-cerebrovascular diseases; clinical sample; tropomyosin 2
Year: 2022 PMID: 35371599 PMCID: PMC8947840 DOI: 10.14336/AD.2021.0926
Source DB: PubMed Journal: Aging Dis ISSN: 2152-5250 Impact factor: 6.745
Figure 1.Expression level of TPM2 via immunohistochemistry, immunofluorescence, and RT-qPCR; correlation analysis of the intima-media thickness, TPM2, and α-SMA; and expression of TPM2 and α-SMA at the western blotting level. (A) A comparison of the H-scores of TPM2 in the two groups. (B) Relative expression of TPM2 by RT-qPCR analysis. (C) Correlation analysis of the intima-media thickness, TPM2, and α-SMA. (D) A heatmap showing the strong correlations among the intima-media thickness, TPM2, and α-SMA. (E) ROC curves were constructed to determine the effect of TPM2 and α-SMA on the intima-media thickness. (F) Expression of TPM2 and α-SMA at the western blotting level. *P< 0.05, compared with the normal group.
Correlative parameters’ effect on atherosclerosis based on univariate logistic proportional regression analysis
| Parameters | Atherosclerosis
| ||||
|---|---|---|---|---|---|
| OR | 95% CI | P | |||
| Sex | Male | 27 | 1 | 0.672 | |
| Female | 7 | 0.696 | 0.130-3.724 | ||
| Age | <60 | 4 | 1 | 1.000 | |
| ≥60 | 30 | 1.000 | 0.124-8.057 | ||
| Diabetes | No | 25 | 1 | 0.251 | |
| Yes | 9 | 2.545 | 0.516-12.546 | ||
| Hypertension | No | 11 | 1 | 0.276 | |
| Yes | 23 | 2.275 | 0.518-9.989 | ||
| Smoking | No | 31 | 1 | 0.553 | |
| Yes | 3 | 2.133 | 0.175-26.033 | ||
| Hematencephalon | No | 30 | 1 | 0.309 | |
| Yes | 4 | 0.292 | 0.027-3.133 | ||
| Cerebral infarction | No | 19 | 1 | 0.730 | |
| Yes | 15 | 1.270 | 0.327-4.930 | ||
| CHD | No | 24 | 1 | 0.454 | |
| Yes | 10 | 1.773 | 0.396-7.932 | ||
| TPM2 | Low | 10 | 1 | 0.034* | |
| High | 24 | 0.150 | 0.026-0.868 | ||
| α-SMA | Low | 12 | 1 | 0.038* | |
| High | 22 | 0.190 | 0.040-0.915 | ||
OR, odds ratio; 95% CI, 95% confidence interval. CHD: Coronary heart disease; TPM2: Tropomyosin 2; α-SMA: α-smooth muscle actin. *P<0.05.
Figure 2.The neural network model for prediction of the intima-media thickness and thin-plate spline interpolation. (A) The best training performance was 0.02744 at epoch 3000. (B) The final training model of the neural network prediction model, with a relativity of 0.94434. (C, D) The model verified the result, and there were no significant differences between the predicted and actual values. (E) Using thin-plate spline interpolation, a high-risk warning indicator of the intima-media thickness was developed: 0 < TPM2 < 80, and 0 < α-SMA < 40.