Title |
Associations of autophagy with lung diffusion capacity and oxygen saturation in severe COPD: effects of particulate air pollution
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Published in |
International Journal of Chronic Obstructive Pulmonary Disease, July 2016
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DOI | 10.2147/copd.s108993 |
Pubmed ID | |
Authors |
Kang-Yun Lee, Ling-Ling Chiang, Shu-Chuan Ho, Wen-Te Liu, Tzu-Tao Chen, Po-Hao Feng, Chien-Ling Su, Kai-Jen Chuang, Chih-Cheng Chang, Hsiao-Chi Chuang |
Abstract |
Although traffic exposure has been associated with the development of COPD, the role of particulate matter <10 μm in aerodynamic diameter (PM10) in the pathogenesis of COPD is not yet fully understood. We assessed the 1-year effect of exposure to PM10 on the pathogenesis of COPD in a retrospective cohort study. We recruited 53 subjects with COPD stages III and IV and 15 healthy controls in a hospital in Taiwan. We estimated the 1-year annual mean levels of PM10 at all residential addresses of the cohort participants. Changes in PM10 for the 1-year averages in quintiles were related to diffusion capacity of the lung for carbon monoxide levels (r=-0.914, P=0.029), changes in the pulse oxygen saturation (ΔSaO2; r=-0.973, P=0.005), receptor for advanced glycation end-products (r=-0.881, P=0.048), interleukin-6 (r=0.986, P=0.002), ubiquitin (r=0.940, P=0.017), and beclin 1 (r=0.923, P=0.025) in COPD. Next, we observed that ubiquitin was correlated with ΔSaO2 (r=-0.374, P=0.019). Beclin 1 was associated with diffusion capacity of the lung for carbon monoxide (r=-0.362, P=0.028), ΔSaO2 (r=-0.354, P=0.032), and receptor for advanced glycation end-products (r=-0.471, P=0.004). Autophagy may be an important regulator of the PM10-related pathogenesis of COPD, which could cause deterioration in the lung diffusion capacity and oxygen saturation. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 25% |
Japan | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 15% |
Researcher | 6 | 13% |
Student > Ph. D. Student | 6 | 13% |
Student > Bachelor | 3 | 7% |
Lecturer | 3 | 7% |
Other | 9 | 20% |
Unknown | 12 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 33% |
Nursing and Health Professions | 5 | 11% |
Environmental Science | 5 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Agricultural and Biological Sciences | 2 | 4% |
Other | 4 | 9% |
Unknown | 13 | 28% |