| Literature DB >> 24495866 |
Santiago Redondo, Jorge Navarro-Dorado, Marta Ramajo, Úrsula Medina, Pedro Molina-Sanchez, Zaady Garces, Mauricio García-Alonso, Fernando Reguillo, Enrique Rodriguez, Vicente Andres, Teresa Tejerina1.
Abstract
BACKGROUND: Transforming growth factor beta (TGF-β1) is a pleiotropic cytokine, which is deregulated in atherosclerosis; however the role of age in this process is unknown. We aimed to assess whether TGF-β1 signaling is affected by age.Entities:
Mesh:
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Year: 2014 PMID: 24495866 PMCID: PMC3922540 DOI: 10.1186/1749-8090-9-24
Source DB: PubMed Journal: J Cardiothorac Surg ISSN: 1749-8090 Impact factor: 1.637
Clinical and analytical parameters from patients undergoing CABG whose IMA were used for the study
| Number | 4 | 10 | 14 | 8 | |
| Age | 41.25 | 59.90 | 69.43 | 80.63 | P < 0.0001* |
| Sex (% men) | 4 (100%) | 9 (90%) | 13 (92.86%) | 6 (75%) | 0.5129† |
| BMI | 26.99 ± 1.883 | 26.85 ± 0.8519 | 27.14 ± 0.641 | 27.67 ± 0.960 | 0.9396* |
| EF | 57.5 ± 3.379 | 53.60 ± 5.494 | 57.36 ± 4.514 | 60.38 ± 3.407 | 0.8181* |
| Tobacco | 0 (0%) | 5 (50%) | 2 (14.28%) | 0 (0%) | 0.0281† |
| Alcohol | 0 (0%) | 1 (10%) | 0 (0%) | 0 (0%) | 0.4446† |
| Hypertension | 3 (75%) | 5 (50%) | 9 (64.28%) | 6 (75%) | 0.6871† |
| Dyslipemia | 1 (25%) | 5 (50%) | 6 (42.86%) | 5 (62.5%) | 0.6414† |
| DM | 0 (0%) | 3 (30%) | 5 (35.71%) | 4 (50%) | 0.3786† |
| IM < 30 days | 1 (25%) | 5 (50%) | 5 (35.71%) | 3 (37.50%) | 0.7676† |
| Creatinine | 0.9925 ± 0.1291 | 0.9400 ± 0.0718 | 1.065 ± 0.0787 | 1.030 ± 1.004 | 0.7326* |
| Leukocytes | 7800 ± 1476 | 7670 ± 606.3 | 7107 ± 301.2 | 7375 ± 854.6 | 0.8710* |
| Monocytes | 875 ± 232.3 | 730 ± 109.6 | 600.0 ± 43.22 | 600.0 ± 73.19 | 0.2599* |
| Platelets | 244000 ± 38899 | 236800 ± 27110 | 216357 ± 12395 | 183625 ± 2002 | 0.2949* |
*One-way ANOVA. †Chi-squared test.
BMI: body mass index. EF: Ejection fraction. DM: diabetes mellitus. IM < 30 days: myocardial infarction within 30 days before surgery.
Clinical and analytical parameters from patients undergoing CABG whose pre-surgical sera were used for the study
| Number | 23 | 48 | 61 | 31 | |
| Age | 49.61 | 59.75 | 69.08 | 76.77 | P < 0.0001* |
| Sex (% men) | 23 (100%) | 42 (87.5%) | 52 (85.24%) | 17 (56.67%) | 0.0002† |
| BMI | 26.70 ± 0.643 | 27.58 ± 0.504 | 27.60 ± 0.458 | 27.13 ± 0.645 | 0.8639* |
| EF | 58.52 ± 3.311 | 59.83 ± 2.000 | 59.95 ± 1.822 | 59.71 ± 2.049 | 0.4084* |
| Tobacco | 10 (43.48%) | 13 (27.08%) | 12 (17.64%) | 4 (12.90%) | 0.0065† |
| Alcohol | 13 (56.52%) | 29 (60.42%) | 33 (54.10%) | 6 (12.90%) | 0.0023† |
| Hypertension | 7 (30.43%) | 22 (45.83%) | 40 (65.57%) | 20 (64.52%) | 0.012† |
| Dyslipemia | 12 (52.17%) | 30 (62.50%) | 27 (44.26%) | 16 (51.61%) | 0.2871* |
| DM | 5 (23.74%) | 18 (37.50%) | 20 (32.79%) | 17 (54.84%) | 0.0958† |
| IM < 30 days | 11 (47.83%) | 24 (50%) | 35 (57.38%) | 16 (51.61%) | 0.7676† |
| Creatinine | 1.030 ± 0.027 | 1.060 ± 0.024 | 1.130 ± 0.027 | 1.131 ± 0.045 | 0.0765* |
| Leukocytes | 7854 ± 343.3 | 7592 ± 272 | 7466 ± 250.8 | 7120 ± 406.5 | 0.5640* |
| Monocytes | 635.7 ± 41.40 | 612.6 ± 33.45 | 600.0 ± 24.63 | 617.7 ± 33.16 | 0.9078* |
| Platelets | 227000 ± 12379 | 241128 ± 10477 | 224164 ± 7085 | 234452 ± 14260 | 0.5895* |
| TGF-β | 42.21 ± 2.715 | 41.87 ± 2.187 | 36.44 ± 1.669 | 33.35 ± 2.092 | 0.0157* |
| TGF-β/platelet*1000 | 0.1937 ± 0.0129 | 0.1842 ± 0.0121 | 0.1684 ± 0.008 | 0.1583 ± 0.013 | 0.2220* |
*One-way ANOVA. †Chi-squared test.
BMI: body mass index. EF: Ejection fraction. DM: diabetes mellitus. IM < 30 days: myocardial infarction within 30 days before surgery.
Figure 1Age-dependent TGF-β1 concentration. Panel A: Cells were cultured in plates and conditioned media were collected. Panel B: Concentration of TGF-β1 was assessed in the pre-surgical serum of CABG patients according to Methods. *p < 0.05, ***p < 0.001.
Figure 2Age-dependent decreased p27 in IMA from CABG patients. Panel A: Representative Western blot of p27 expression versus ERK in IMA from CABG patients. Panel B: p27 expression and age show a significant inverse correlation. Panel C: age-dependent p27 decrease remains statistically significant when compared among several age groups. *p < 0.05.
Figure 3Effect of age on Smad2 and Smad3 phosphorylation. Top dot blots show the expression of Smad2 and Smad3 as well as their phosphorylated forms. Bottom bars show quantifications among different age groups. No significant differences were found.
Figure 4Correlations among TGF-β1, age and platelets. Panel A: Correlation between pre-surgical serum levels of TGF-β1 and age. Panel B: Correlation between pre-surgical serum levels of TGF-β1 and the number of platelets of the CABG cohort. Panel C: Correlation between the number of platelets and age. Pearson’s correlation tests were run according to Methods.