| Literature DB >> 35592594 |
Yuqin Zeng1,2,3, Yiyang Zhao1,2,3, Yan Chen1,2,3, Shan Cai1,2,3, Ping Chen1,2,3.
Abstract
INTRODUCTION: Endothelial microparticles (EMPs) are partly associated with the progress of chronic obstructive pulmonary disease (COPD). We sought to measure the levels of EMPs in COPD patients and in human pulmonary microvascular endothelial cells (HPMECs) exposed to cigarette smoking extract (CSE) to elucidate the potential mechanisms of their action.Entities:
Keywords: Akt signal pathway; PECAM EMPs; apoptosis; chronic obstructive pulmonary disease
Year: 2022 PMID: 35592594 PMCID: PMC9059265 DOI: 10.18332/tid/146959
Source DB: PubMed Journal: Tob Induc Dis ISSN: 1617-9625 Impact factor: 2.600
The baseline clinical characteristics of COPD patients and non-COPD volunteers
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| Age (year) | 68.9 ± 5.6 | 69.2 ± 6.7 | 0.869 |
| Male, n (%) | 14 (70) | 25 (83) | 0.221 |
| BMI (kg/m2) | 28.63 ± 5.21 | 26.89 ± 5.55 | 0.271 |
| Smoking (pack-years) | 0 | 32.91 ± 10.45 | - |
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| FEV1, % predicted | 91.42 ± 7.11 | 68.50 ± 8.69 | <0.001 |
| FEV1/FVC (%) | 80.51 ± 8.63 | 64.31 ± 11.93 | <0.001 |
| WBC (×109/L) | 6.23 ± 1.82 | 6.99 ± 2.61 | 0.264 |
| CRP (mg/L) | 3.01 ± 1.24 | 4.35 ± 3.12 | 0.041 |
BMI: body mass index. FEV1: forced expiratory volume in 1 second. FVC: forced vital capacity. WBC: white blood cell. CRP: C-reactive protein. T-test was used to compare the difference between groups.
Compared with the non-COPD volunteers, p<0.01.
Relationships between EMP numbers and various variables in COPD patients and non-COPD volunteers (univariable analysis)
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| Age (years) | 0.174 | 0.067 | 0.160 | 0.080 | 0.163 | 0.076 |
| BMI (kg/m2) | -0.128 | 0.097 | -0.101 | 0.169 | -0.122 | 0.101 |
| Smoking (pack-years) | 0.149 | 0.082 | 0.210 |
| 0.197 | 0.069 |
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| FEV1/Pre (%) | -0.613 |
| -0.479 |
| -0.523 |
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| FEV1/FVC (%) | -0.470 |
| -0.577 |
| -0.507 |
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| WBC (×109/L) | 0.107 | 0.168 | 0.027 | 0.309 | 0.128 | 0.159 |
| CRP (mg/L) | 0.024 | 0.317 | 0.025 | 0.313 | 0.019 | 0.322 |
BMI: body mass index. FEV1: forced expiratory volume in 1 second. FVC: forced vital capacity. WBC: white blood cell. CRP: C-reactive protein. Univariate logistic regression analysis was used,
p<0.05.
Because of abnormal distribution in EMPs, log-transformation was used.
The multiple logistic regression analysis of EMPs
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| Age (years) | 0.010 | (-0.077 – 0.079) | 0.836 | 0.034 | (-0.065 – 0.134) | 0.566 | 0.011 | (-0.088 – 0.109) | 0.692 |
| Smoking (pack-years) | 0.049 | (-0.026 – 0.124) | 0.263 | -0.065 | (-0.029 – -0.110) |
| 0.044 | (-0.045 – 0.127) | 0.303 |
| FEV1/Pre (%) | -0.147 | (-0.233 – -0.060) |
| -0.135 | (-0.196 – -0.072) |
| -0.263 | (-0.332 – -0.193) |
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| FEV1/FVC (%) | -0.067 | (-0.086 – -0.048) |
| -0.123 | (-0.185 – -0.061) |
| -0.231 | (-0.301 – -0.161) |
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FEV1: forced expiratory volume in 1 second. FVC: forced vital capacity. WBC: white blood cell. CRP: C-reactive protein. Multiple logistic regression analysis was used,
p<0.05.
Because of abnormal distribution in EMPs, log-transformation was used.
Figure 1The effect of EMPs numbers released by HPMECs after exposure to CSE
Figure 2The mechanisms