| Literature DB >> 35203490 |
Dana Mihaela Ciobanu1, Cornelia Bala1, Adriana Rusu1, Gabriel Cismaru2, Gabriela Roman1.
Abstract
E-selectin is an endothelial cell adhesion molecule involved in vascular inflammation. Elevated E-selectin has been reported in patients with high blood pressure and diabetes. Given the increasing clinical relevance of parameters derived from ambulatory blood pressure monitoring, further investigation of their relationships with E-selectin is of interest. In this study, we aimed to investigate the association between serum E-selectin, office blood pressure and 24 h ambulatory blood pressure parameters in patients with type 2 diabetes. Blood pressure variability was assessed by computing the standard deviation of mean systolic and diastolic blood pressure separately for daytime and nighttime during 24 h ambulatory blood pressure monitoring in a cohort of patients with type 2 diabetes (n = 132). Additionally, were assessed nighttime systolic dipping and pulse pressure separately for daytime, nighttime, and 24 h. Serum E-selectin was measured using the enzyme-linked immunosorbent assay technique. We found that E-selectin was consistently associated with 24 h diastolic blood pressure variability (r = 0.238; p = 0.019) and daytime diastolic blood pressure variability (r = 0.258; p = 0.012), after adjustment for confounding factors. No association of E-selectin with office blood pressure and other 24 h ambulatory blood pressure parameters was observed. In conclusion, endothelial activation indicated by elevated serum E-selectin is associated with increased ambulatory diastolic blood pressure variability in patients with type 2 diabetes.Entities:
Keywords: 24 h ambulatory blood pressure monitoring; E-selectin; blood pressure variability; type 2 diabetes mellitus
Year: 2022 PMID: 35203490 PMCID: PMC8869192 DOI: 10.3390/biomedicines10020279
Source DB: PubMed Journal: Biomedicines ISSN: 2227-9059
Clinical and laboratory characteristics of the study sample.
| Parameters | Patients |
|---|---|
| Men, n (%) | 60 (45.5%) |
| Age, years | 60.1 ± 8.0 |
| Smokers, n (%) | 16 (12.1%) |
| Waist circumference, cm | 111.0 ± 11.6 |
| Body mass index, kg/m2 | 32.6 ± 5.3 |
| Total cholesterol, mg/dL | 197.6 ± 45.7 |
| HDL cholesterol, mg/dL | 43.0 (38.0; 51.5) |
| Tryglicerides, mg/dL | 189.0 (124.0; 248.0) |
| Creatinine, mg/dL | 0.9 (0.8; 1.1) |
| Diabetes duration, years | 8.0 (3.0; 13.5) |
| HbA1c, % | 9.2 (8.2; 11.2) |
| Fasting glycemia, mg/dL | 156.5 (132.0; 197.0) |
| Diabetic retinopathy, n (%) | 41 (31.1%) |
| Diabetic polineuropathy, n (%) | 76 (57.6%) |
| Chronic kidney disease, n (%) | 46 (34.8%) |
| Atherosclerotic cardiovascular disease, n (%) | 55 (41.7%) |
| Hypertension, n (%) | 117 (88.6%) |
| Hypertension duration, years | 8.0 (4.0; 13.0) |
| Office systolic blood pressure, mmHg | 136.5 (128.5; 148.5) |
| Office diastolic blood pressure, mmHg | 82.6 ± 12.5 |
| E-selectin, ng/mL | 2.5 (1.4; 4.8) |
N/n, number; %, percentage; HbA1c, glycated hemoglobin.
24 h ambulatory blood pressure parameters.
| Blood Pressure | Patients |
|---|---|
| Systolic Mean, mmHg | |
| Daytime | 130.8 (123.2; 141.0) |
| Nighttime | 125.0 ± 15.8 |
| 24 h | 122.1 (115.1; 130.0) |
| Systolic Variability, mmHg | |
| Daytime | 3.0 ± 0.6 |
| Nighttime | 3.0 ± 0.6 |
| 24 h | 3.0 ± 0.5 |
| Diastolic Mean, mmHg | |
| Daytime | 82.6 ± 10.8 |
| Nighttime | 72.0 (64.7; 79.1) |
| 24 h | 78.0 ± 7.8 |
| Diastolic Variability, mmHg | |
| Daytime | 2.8 ± 0.4 |
| Nighttime | 2.7 ± 0.5 |
| 24 h | 2.7 ± 0.4 |
| Nocturnal Systolic Dipping, % | 5.3 ± 6.1 |
| Non-dippers, n (%) | 97 (73.5%) |
| Pulse pressure, mmHg | |
| Daytime | 49.5 (42.9; 60.1) |
| Nighttime | 49.8 (41.2; 60.8) |
| 24 h | 49.7 (43.1; 60.0) |
n/N, number; %, percentage.
Figure 1The relationship of E-selectin with office systolic (A) and diastolic (B) blood pressure.
Univariate linear regression analysis for the dependent variable lgE-Selectin using office blood pressure parameters as predictors.
| Blood Pressure (mmHg) | LgE-Selectin | |
|---|---|---|
| Beta Standardized Coefficients | ||
| Unadjusted regression | ||
| Office systolic blood pressure | −0.067 | 0.449 |
| Office diastolic blood pressure | −0.002 | 0.984 |
| Adjusted regression * | ||
| Office systolic blood pressure | −0.164 | 0.107 |
| Office diastolic blood pressure | −0.102 | 0.312 |
* Model adjusted for age, sex, smoking status, fasting glycemia and HbA1c, diabetes and hyper-tension duration, body mass index.
Figure 2The relationship of lgE-selectin with daytime (A) and 24 h (B) BP variability. SD, standard deviation.
Univariate linear regression analysis for the dependent variable lgE-Selectin using 24 h ambulatory blood pressure parameters as predictors.
| Blood Pressure (mmHg) | LgE-Selectin | |
|---|---|---|
| Beta Standardized Coefficients | ||
| Unadjusted regression | ||
| Systolic Variability | ||
| Daytime | 0.119 | 0.174 |
| Nighttime | 0.115 | 0.190 |
| 24 h | 0.141 | 0.106 |
| Diastolic Variability | ||
| Daytime | 0.283 | 0.001 |
| Nighttime | 0.087 | 0.321 |
| 24 h | 0.279 | 0.001 |
| Systolic Mean | ||
| Daytime | 0.115 | 0.189 |
| Nighttime | 0.147 | 0.092 |
| 24 h | 0.124 | 0.157 |
| Diastolic Mean | ||
| Daytime | 0.046 | 0.604 |
| Nighttime | 0.034 | 0.699 |
| 24 h | −0.012 | 0.890 |
| Nocturnal Systolic Dipping | 0.080 | 0.364 |
| Systolic Dipping Status | −0.064 | 0.468 |
| Pulse Pressure | ||
| Daytime | 0.099 | 0.257 |
| Nighttime | 0.137 | 0.118 |
| 24 h | 0.112 | 0.203 |
| Adjusted regression * | ||
| Systolic Variability | ||
| Daytime | 0.093 | 0.364 |
| Nighttime | 0.126 | 0.181 |
| 24 h | 0.133 | 0.190 |
| Diastolic Variability | ||
| Daytime | 0.258 | 0.012 |
| Nighttime | 0.043 | 0.656 |
| 24 h | 0.238 | 0.019 |
| Systolic Mean | ||
| Daytime | 0.078 | 0.439 |
| Nighttime | 0.134 | 0.170 |
| 24 h | 0.098 | 0.323 |
| Diastolic Mean | ||
| Daytime | −0.013 | 0.896 |
| Nighttime | 0.011 | 0.915 |
| 24 h | −0.022 | 0.822 |
| Nocturnal Systolic Dipping Index | −0.109 | 0.236 |
| Systolic Dipping Status | −0.055 | 0.559 |
| Pulse Pressure | ||
| Daytime | 0.137 | 0.227 |
| Nighttime | 0.183 | 0.101 |
| 24 h | 0.154 | 0.175 |
* Model adjusted for age, sex, smoking status, fasting glycemia and HbA1c, diabetes and hypertension duration, body mass index.