AIM: To determine the association between cigarettes smoking, body mass index (BMI) and the risk of age-related cataract (ARC) in middle-aged and elderly men in Northeast China. METHODS: A hospital-based case control ...AIM: To determine the association between cigarettes smoking, body mass index (BMI) and the risk of age-related cataract (ARC) in middle-aged and elderly men in Northeast China. METHODS: A hospital-based case control study was conducted. Cases (n =362) were men who had surgically treated ARC, 45-85 years old; controls frequency-matched (n=362) were men who had been admitted to the same hospital as cases for other diseases not related with eye diseases. Cases and controls were matched with 1:1. The cases and controls were interviewed during their hospital stay, using a structured interviewer-administrated questionnaire that included information on sociodemographic characteristics, socioeconomic, lifestyle habits (tobacco smoking and alcohol consumption, etc.), anthropometric measures, personal medical history, and family history of ARC in first-degree relatives, and simultaneously BMI was calculated. The odds ratios (OR) and 95% confidence intervals (CI) of ARC were estimated using multiple logistic regression models. RESULTS: After adjusting for age and multiple potential confounders, higher BMI was associated with an increased risk of ARC. Cigarette smoking, years smoking or moderate cigarette smoking (1-29 cigarettes per day) had no relation with the risk of ARC (P>0.05), although patients smoking >= 30 cigarettes per day had an elevated risk of ARC as compared with the non-smokers (OR=1.55, 95% CI; 1.16-2.85, P=0.026). Higher BMI was associated with an increased risk of ARC. Both overweight and obesity was associated with an obviously increased risk for surgically ARC (OR=1.55, 95% CI:1.02-1.98, P=0.015 and OR=1.71, 95% CI:1.32-2.39, P=0.013 respectively) compared to normal BMI. Then participants were grouped into quartiles of BMI (Q1 to Q4), compared to controls in the lowest quartile, the ORfor cases in the highest quartile of BMI was 1.54 (OR=1.54, 95% CI: 1.08-2.46, P=0.022). The results of univariate analysis showed cigarette smoking was not associated with ARC formation for men with lower or normal BMI (P >0.05). Compared to the non-smokers, for men of overweight or obesity, cigarette smoking was associated with a significantly increased risk for surgically ARC (OR=2.00, 95% CI: 1.49-6.65, P=0.003 and OR=1.66, 95% CI: 1.63-13.21, P=0.002 respectively). Similarly, smokers in the highest quartile of BMI had approximately 1.5 times the risk of ARC as non-smokers in the lowest quartile (OR =1.46, 95% CI: 1.06-5.29, P<0.001). Followed multivariate models revealed that the association had never changed. CONCLUSION: Current cigarette smoking is positively related to ARC only among those who smoking 30 or more cigarettes per day. For men who are both overweight and obesity, cigarette smoking is associated with a significantly increased risk for ARC.展开更多
At present, research into optical properties of bio-smoke materials mostly concentrates on single band or single germplasm. Herein, we measured the spectral reflectance of three eukaryotic bio-smoke materials and thre...At present, research into optical properties of bio-smoke materials mostly concentrates on single band or single germplasm. Herein, we measured the spectral reflectance of three eukaryotic bio-smoke materials and three prokaryotic bio-smoke materials in the waveband from 0.25 μm to 14μm. Based on the Kramers-Kroning algorithm, the complex refractive index m(λ) was calculated and the Fourier-transform infrared(FTIR) spectra of materials were analyzed. The results show that n(λ) of bio-smoke materials varies between 1.1-2, and n(λ) values in the visible light to near-infrared wavebands are significantly larger than those in other wavebands. The k(λ) of bio-smoke materials varies between 0-0.4.At 6-6.5 μm, k(λ) of prokaryotic materials is 3 times that of eukaryotic materials, which is caused by C=O stretching vibration of amide I and C-N stretching vibration of amide Ⅱ in proteins. At 2.5-3 μm and 9.75 μm, k(λ) values of eukaryotic bio-smoke materials are nearly 2 times that of prokaryotic ones. The absorption peak at 2.5-3 μm is mainly triggered by C-H stretching vibration in lipid and O-H stretching vibration in bound water. The absorption peak at 9.75 μm is mainly caused by symmetric stretching vibration of PO2-in nucleic acids.展开更多
Objective:To investigate whether vitamin D receptor gene(VDR)Bsm I-rs1544410 and Fok I-rs2228570 polymorphisms,smoking duration,and body mass index(BMI)are risk factors for cutaneous melanoma,especially metastatic mel...Objective:To investigate whether vitamin D receptor gene(VDR)Bsm I-rs1544410 and Fok I-rs2228570 polymorphisms,smoking duration,and body mass index(BMI)are risk factors for cutaneous melanoma,especially metastatic melanoma.Methods:We studied 120 cutaneous melanoma cases[68 stage I and II non-metastatic melanoma(NMet M)patients,plus 52Stage III and IV metastatic melanoma(Met M)patients],and 120 matching healthy controls from northeast Italy.VDR polymorphisms were measured by restriction fragment length polymorphism analysis.Absence or presence of Bsm I and Fok I restriction sites was denoted by"B"and"F"or by"b"and"f,"respectively.Results:VDR-Bsm I bb genotype was more frequent among Met M(32.7%)than among NMet M cases(13.2%),with odds ratio(OR)=3.18.Comparison of all melanoma patients vs healthy controls showed that the following biomarkers were at risk:≥20 years of smoking(OR=2.43);≥20 years of smoking combined with bb(OR=4.78),Bb+bb(OR=2.30),Ff(OR=3.04),and Ff+ff(OR=3.08);obesity(BMI>30Conclusions:Risk factors for cutaneous Met M include two VDR polymorphisms combined with smoking duration and obesity.Results suggest gene-environment implications in melanoma susceptibility and severity.Future studies in larger cohorts and in subjects with different genetic background are warranted to extend our findings.展开更多
BACKGROUND: Although the serum carcinoembryonic antigen (CEA) concentration is the well-known prognostic marker of non-small cell lung cancer (NSCLC), serum CEA concentration has been reported to be affected by smokin...BACKGROUND: Although the serum carcinoembryonic antigen (CEA) concentration is the well-known prognostic marker of non-small cell lung cancer (NSCLC), serum CEA concentration has been reported to be affected by smoking status and body mass index (BMI). There are no previous investigations that examined the relationship between BMI and serum CEA concentration in thoracic disease, including NSCLC. METHODS: Consecutive 384 NSCLC patients and 87 patients with benign thoracic disease were enrolled. The relationship between serum CEA concentration and smoking status and BMI in patients with benign thoracic benign disease and NSCLC was examined. RESULTS: In patients with benign thoracic disease, serum CEA concentration significantly increased with smoking status and Brinkman index. However, serum CEA concentration was not related with BMI. Serum CEA concentration of patients with NSCLC was significantly higher than those with benign disease. In NSCLC patients, the relationship between serum CEA concentration and smoking status was also found. A significant relationship between serum CEA concentration and smoking status was also found in patients with adenocarcinoma which is known to have weaker associations with smoking in carcinogenesis. On the other hand, we failed to find the relationship between serum CEA concentration and BMI in NSCLC patients. CONCLUSION: Serum CEA concentration may be affected by smoking status but not BMI in our Japanese patients with thoracic disease.展开更多
基金Science and Technology Planning Project,Liaoning Province Education Administration,China(No.2008424)
文摘AIM: To determine the association between cigarettes smoking, body mass index (BMI) and the risk of age-related cataract (ARC) in middle-aged and elderly men in Northeast China. METHODS: A hospital-based case control study was conducted. Cases (n =362) were men who had surgically treated ARC, 45-85 years old; controls frequency-matched (n=362) were men who had been admitted to the same hospital as cases for other diseases not related with eye diseases. Cases and controls were matched with 1:1. The cases and controls were interviewed during their hospital stay, using a structured interviewer-administrated questionnaire that included information on sociodemographic characteristics, socioeconomic, lifestyle habits (tobacco smoking and alcohol consumption, etc.), anthropometric measures, personal medical history, and family history of ARC in first-degree relatives, and simultaneously BMI was calculated. The odds ratios (OR) and 95% confidence intervals (CI) of ARC were estimated using multiple logistic regression models. RESULTS: After adjusting for age and multiple potential confounders, higher BMI was associated with an increased risk of ARC. Cigarette smoking, years smoking or moderate cigarette smoking (1-29 cigarettes per day) had no relation with the risk of ARC (P>0.05), although patients smoking >= 30 cigarettes per day had an elevated risk of ARC as compared with the non-smokers (OR=1.55, 95% CI; 1.16-2.85, P=0.026). Higher BMI was associated with an increased risk of ARC. Both overweight and obesity was associated with an obviously increased risk for surgically ARC (OR=1.55, 95% CI:1.02-1.98, P=0.015 and OR=1.71, 95% CI:1.32-2.39, P=0.013 respectively) compared to normal BMI. Then participants were grouped into quartiles of BMI (Q1 to Q4), compared to controls in the lowest quartile, the ORfor cases in the highest quartile of BMI was 1.54 (OR=1.54, 95% CI: 1.08-2.46, P=0.022). The results of univariate analysis showed cigarette smoking was not associated with ARC formation for men with lower or normal BMI (P >0.05). Compared to the non-smokers, for men of overweight or obesity, cigarette smoking was associated with a significantly increased risk for surgically ARC (OR=2.00, 95% CI: 1.49-6.65, P=0.003 and OR=1.66, 95% CI: 1.63-13.21, P=0.002 respectively). Similarly, smokers in the highest quartile of BMI had approximately 1.5 times the risk of ARC as non-smokers in the lowest quartile (OR =1.46, 95% CI: 1.06-5.29, P<0.001). Followed multivariate models revealed that the association had never changed. CONCLUSION: Current cigarette smoking is positively related to ARC only among those who smoking 30 or more cigarettes per day. For men who are both overweight and obesity, cigarette smoking is associated with a significantly increased risk for ARC.
基金supported by the National Natural Science Foundation of China(Grant Nos.61271353 and 60908033)the Natural Science Foundation of Anhui Province,China(Grant No.1408085MKL47)
文摘At present, research into optical properties of bio-smoke materials mostly concentrates on single band or single germplasm. Herein, we measured the spectral reflectance of three eukaryotic bio-smoke materials and three prokaryotic bio-smoke materials in the waveband from 0.25 μm to 14μm. Based on the Kramers-Kroning algorithm, the complex refractive index m(λ) was calculated and the Fourier-transform infrared(FTIR) spectra of materials were analyzed. The results show that n(λ) of bio-smoke materials varies between 1.1-2, and n(λ) values in the visible light to near-infrared wavebands are significantly larger than those in other wavebands. The k(λ) of bio-smoke materials varies between 0-0.4.At 6-6.5 μm, k(λ) of prokaryotic materials is 3 times that of eukaryotic materials, which is caused by C=O stretching vibration of amide I and C-N stretching vibration of amide Ⅱ in proteins. At 2.5-3 μm and 9.75 μm, k(λ) values of eukaryotic bio-smoke materials are nearly 2 times that of prokaryotic ones. The absorption peak at 2.5-3 μm is mainly triggered by C-H stretching vibration in lipid and O-H stretching vibration in bound water. The absorption peak at 9.75 μm is mainly caused by symmetric stretching vibration of PO2-in nucleic acids.
文摘Objective:To investigate whether vitamin D receptor gene(VDR)Bsm I-rs1544410 and Fok I-rs2228570 polymorphisms,smoking duration,and body mass index(BMI)are risk factors for cutaneous melanoma,especially metastatic melanoma.Methods:We studied 120 cutaneous melanoma cases[68 stage I and II non-metastatic melanoma(NMet M)patients,plus 52Stage III and IV metastatic melanoma(Met M)patients],and 120 matching healthy controls from northeast Italy.VDR polymorphisms were measured by restriction fragment length polymorphism analysis.Absence or presence of Bsm I and Fok I restriction sites was denoted by"B"and"F"or by"b"and"f,"respectively.Results:VDR-Bsm I bb genotype was more frequent among Met M(32.7%)than among NMet M cases(13.2%),with odds ratio(OR)=3.18.Comparison of all melanoma patients vs healthy controls showed that the following biomarkers were at risk:≥20 years of smoking(OR=2.43);≥20 years of smoking combined with bb(OR=4.78),Bb+bb(OR=2.30),Ff(OR=3.04),and Ff+ff(OR=3.08);obesity(BMI>30Conclusions:Risk factors for cutaneous Met M include two VDR polymorphisms combined with smoking duration and obesity.Results suggest gene-environment implications in melanoma susceptibility and severity.Future studies in larger cohorts and in subjects with different genetic background are warranted to extend our findings.
文摘BACKGROUND: Although the serum carcinoembryonic antigen (CEA) concentration is the well-known prognostic marker of non-small cell lung cancer (NSCLC), serum CEA concentration has been reported to be affected by smoking status and body mass index (BMI). There are no previous investigations that examined the relationship between BMI and serum CEA concentration in thoracic disease, including NSCLC. METHODS: Consecutive 384 NSCLC patients and 87 patients with benign thoracic disease were enrolled. The relationship between serum CEA concentration and smoking status and BMI in patients with benign thoracic benign disease and NSCLC was examined. RESULTS: In patients with benign thoracic disease, serum CEA concentration significantly increased with smoking status and Brinkman index. However, serum CEA concentration was not related with BMI. Serum CEA concentration of patients with NSCLC was significantly higher than those with benign disease. In NSCLC patients, the relationship between serum CEA concentration and smoking status was also found. A significant relationship between serum CEA concentration and smoking status was also found in patients with adenocarcinoma which is known to have weaker associations with smoking in carcinogenesis. On the other hand, we failed to find the relationship between serum CEA concentration and BMI in NSCLC patients. CONCLUSION: Serum CEA concentration may be affected by smoking status but not BMI in our Japanese patients with thoracic disease.
