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Poudineh M, Mansoori A, Sadooghi Rad E, Hosseini ZS, Salmani Izadi F, Hoseinpour M, Mahmoudi Zo M, Ghoflchi S, Tanbakuchi D, Nazar E, Ferns G, Effati S, Esmaily H, Ghayour-Mobarhan M. Platelet distribution widths and white blood cell are associated with cardiovascular diseases: data mining approaches. Acta Cardiol 2023; 78:1033-1044. [PMID: 37694924 DOI: 10.1080/00015385.2023.2246199] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 06/12/2023] [Accepted: 08/03/2023] [Indexed: 09/12/2023]
Abstract
OBJECTIVE To investigate the association between cardiovascular diseases (CVDs) and haematologic factors in a cohort of Iranian adults. METHOD For a total population of 9,704 aged 35 to 65, a prospective study was designed. Haematologic factors and demographic characteristics (such as gender, age, and smoking status) were completed for all participants. The association between haematologic factors and CVDs was assessed through logistic regression (LR) analysis, decision tree (DT), and bootstrap forest (BF). RESULTS Almost all of the included factors were significantly associated with CVD (p<.001). Among the included factors, were: age, white blood cell (WBC), and platelet distribution width (PDW) had the strongest correlation with the development of CVD. For unit OR interpretation, WBC has been represented as the most remarkable risk factor for CVD (OR: 1.22 (CI 95% (1.18, 1.27))). Also, age is associated with an increase in the odds of CVD + occurrence (OR: 1.12 (CI 95% (1.11, 1.13))). Moreover, males are times more likely to develop CVD than females (OR: 1.39 (CI 95% (1.22, 1.58))). In DT model, age is the best classifier factor in CVD development, followed by WBC and PDW. Furthermore, based on the BF algorithm, the most crucial factors correlated with CVD are age, WBC, PDW, sex, and smoking status. CONCLUSION The obtained result from LR, DT, and BF models confirmed that age, WBC, and PDW are the most crucial factors for the development of CVD.
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Affiliation(s)
- Mohadeseh Poudineh
- Student Research Committee, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Amin Mansoori
- International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Elias Sadooghi Rad
- Student Research Committee, School of Medicine, Birjand University of Medical Sciences, Birjand, Iran
| | | | - Faezeh Salmani Izadi
- Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mahdieh Hoseinpour
- Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mostafa Mahmoudi Zo
- Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sahar Ghoflchi
- International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Davoud Tanbakuchi
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Eisa Nazar
- International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Gordon Ferns
- Brighton and Sussex Medical School, Division of Medical Education, Brighton, United Kingdom
| | - Sohrab Effati
- Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Habibollah Esmaily
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Majid Ghayour-Mobarhan
- International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
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Guyatt A, John C, Williams AT, Shrine N, Reeve NF, Sayers I, Hall I, Wain LV, Sheehan N, Dudbridge F, Tobin MD. Mendelian randomisation of eosinophils and other cell types in relation to lung function and disease. Thorax 2023; 78:496-503. [PMID: 35537820 PMCID: PMC10176352 DOI: 10.1136/thoraxjnl-2021-217993] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 03/09/2022] [Indexed: 11/04/2022]
Abstract
RATIONALE Eosinophils are associated with airway inflammation in respiratory disease. Eosinophil production and survival is controlled partly by interleukin-5: anti-interleukin-5 agents reduce asthma and response correlates with baseline eosinophil counts. However, whether raised eosinophils are causally related to chronic obstructive pulmonary disease (COPD) and other respiratory phenotypes is not well understood. OBJECTIVES We investigated causality between eosinophils and: lung function, acute exacerbations of COPD, asthma-COPD overlap (ACO), moderate-to-severe asthma and respiratory infections. METHODS We performed Mendelian randomisation (MR) using 151 variants from genome-wide association studies of blood eosinophils in UK Biobank/INTERVAL, and respiratory traits in UK Biobank/SpiroMeta, using methods relying on different assumptions for validity. We performed multivariable analyses using eight cell types where there was possible evidence of causation by eosinophils. MEASUREMENTS AND MAIN RESULTS Causal estimates derived from individual variants were highly heterogeneous, which may arise from pleiotropy. The average effect of raising eosinophils was to increase risk of ACO (weighted median OR per SD eosinophils, 1.44 (95%CI 1.19 to 1.74)), and moderate-severe asthma (weighted median OR 1.50 (95%CI 1.23 to 1.83)), and to reduce forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) and FEV1 (weighted median estimator, SD FEV1/FVC: -0.054 (95% CI -0.078 to -0.029), effect only prominent in individuals with asthma). CONCLUSIONS Broad consistency across MR methods may suggest causation by eosinophils (although of uncertain magnitude), yet heterogeneity necessitates caution: other important mechanisms may be responsible for the impairment of respiratory health by these eosinophil-raising variants. These results could suggest that anti-IL5 agents (designed to lower eosinophils) may be valuable in treating other respiratory conditions, including people with overlapping features of asthma and COPD.
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Affiliation(s)
- Anna Guyatt
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Catherine John
- Department of Health Sciences, University of Leicester, Leicester, UK
| | | | - Nick Shrine
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Nicola F Reeve
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Ian Sayers
- Division of Respiratory Medicine, University of Nottingham, Nottingham, UK
- NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Ian Hall
- Division of Respiratory Medicine, University of Nottingham, Nottingham, UK
- NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Louise V Wain
- Department of Health Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Nuala Sheehan
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Martin D Tobin
- Department of Health Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
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Pongdee T, Bielinski SJ, Decker PA, Kita H, Larson NB. White blood cells and chronic rhinosinusitis: a Mendelian randomization study. Allergy Asthma Clin Immunol 2022; 18:98. [PMID: 36419128 PMCID: PMC9682667 DOI: 10.1186/s13223-022-00739-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 11/04/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Risk factors for the pathogenesis of chronic rhinosinusitis (CRS) remain largely undetermined, which is likely due to the heterogeneity of the disease. White blood cell counts have been largely unexplored as a risk factor for CRS even though different types of white blood cells are involved in the inflammatory process of CRS. OBJECTIVE To investigate causal associations between different types of white blood cells on risk of CRS utilizing a Mendelian randomization (MR) analysis. METHODS A two-sample MR analysis was performed using respective GWAS summary statistics for the exposure traits (neutrophil count, eosinophil count, basophil count, lymphocyte count, and monocyte count) and outcome trait (CRS). For the exposure traits, the European Bioinformatics Institute database of complete GWAS summary data was used. For the outcome trait, summary statistics for CRS GWAS were obtained from FinnGen. Primary analysis for MR was performed using inverse-variance weighted two-sample MR. Sensitivity analyses included weighted median, MR-Egger, and MR-PRESSO (raw and outlier-corrected). RESULTS Eosinophils were associated with CRS (OR = 1.55 [95% CI 1.38, 1.73]; p = 4.3E-14). Eosinophil results were similar across additional MR methods. MR results did not demonstrate significant causal relationships between neutrophils, lymphocytes, monocytes, or basophils with CRS. No significant pleiotropic bias was observed. CONCLUSIONS In a two-sample MR analysis, a potential causal link between blood eosinophil counts and CRS has been demonstrated. In addition, causal relationships between blood counts among other white blood cell types and CRS were not found. Further studies involving genetic variation in CRS are needed to corroborate genetic causal effects for CRS.
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Affiliation(s)
- Thanai Pongdee
- grid.66875.3a0000 0004 0459 167XDivision of Allergic Diseases, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA
| | - Suzette J. Bielinski
- grid.66875.3a0000 0004 0459 167XDivision of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA
| | - Paul A. Decker
- grid.66875.3a0000 0004 0459 167XDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA
| | - Hirohito Kita
- grid.417468.80000 0000 8875 6339Division of Allergy, Asthma and Clinical Immunology, Mayo Clinic, Scottsdale, AZ USA ,grid.66875.3a0000 0004 0459 167XDepartment of Immunology, Mayo Clinic, Rochester, MN USA
| | - Nicholas B. Larson
- grid.66875.3a0000 0004 0459 167XDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN USA
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Mikkelsen H, Landt EM, Benn M, Nordestgaard BG, Dahl M. Causal risk factors for asthma in Mendelian randomization studies: A systematic review and meta-analysis. Clin Transl Allergy 2022; 12:e12207. [PMID: 36434743 PMCID: PMC9640961 DOI: 10.1002/clt2.12207] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 05/23/2022] [Accepted: 10/13/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Several risk factors for asthma have been proposed; however, the causality of these associations is sometimes unclear. Mendelian randomization is a powerful epidemiological approach that can help elucidate the causality of risk factors. The aim of the present study was to identify causal risk factors for asthma through Mendelian Randomization studies. METHODS A systematic search of PubMed and EMBASE was conducted, to identify studies investigating risk factors for asthma or respiratory allergies through Mendelian Randomization. When two or more studies investigated the same risk factor a meta-analysis was conducted. Of 239 studies initially identified, 41 were included. RESULTS A causal association between adiposity and adult asthma risk was found in 10 out of 12 studies with a summary risk ratio of 1.05 per kg/m2 increase in BMI (95% CI: 1.03-1.07). Puberty timing (n = 3), alcohol (n = 2), and linoleic acid (n = 1) had causal effects on asthma risk, while vitamins/minerals (n = 6) showed no consistent effect on asthma. The effect of smoking on adult asthma conflicted between studies. Several of the significant associations of asthma with immune related proteins (n = 5) and depression (n = 2) investigated through multiple traits analyses could generally benefit from replications in independent datasets. CONCLUSION This systematic review and meta-analysis found evidence for causal effects of adiposity, puberty timing, linoleic acid, alcohol, immune related proteins, and depression on risk of asthma.
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Affiliation(s)
- Heidi Mikkelsen
- Department of Clinical BiochemistryZealand University HospitalKøgeDenmark
- Department of Clinical Medicine, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Eskild Morten Landt
- Department of Clinical BiochemistryZealand University HospitalKøgeDenmark
- Department of Clinical Medicine, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
| | - Marianne Benn
- Department of Clinical Medicine, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
- Department of Clinical BiochemistryRigshospitaletCopenhagen University HospitalCopenhagenDenmark
| | - Børge Grønne Nordestgaard
- Department of Clinical Medicine, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
- Department of Clinical BiochemistryHerlev and Gentofte HospitalCopenhagen University HospitalHerlevDenmark
| | - Morten Dahl
- Department of Clinical BiochemistryZealand University HospitalKøgeDenmark
- Department of Clinical Medicine, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
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5
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Wu X, Wang C, Li H, Meng H, Jie J, Fu M, Bai Y, Li G, Wei W, Feng Y, Li M, Guan X, He M, Zhang X, Guo H. Circulating white blood cells and lung function impairment: the observational studies and Mendelian randomization analysis. Ann Med 2021; 53:1118-1128. [PMID: 34259107 PMCID: PMC8280897 DOI: 10.1080/07853890.2021.1948603] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 06/22/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Circulating white blood cell (WBC) counts have been related to lung function impairment, but causal relationship was not established. We aimed to evaluate independent effects and causal relationships of WBC subtypes with lung function. METHODS The 19,159 participants from NHANES 2011-2012 (n = 3570), coke-oven workers (COW, n = 1762) and Dongfeng-Tongji (DFTJ, n = 13,827) cohorts were included in the observational studies. The associations between circulating counts of WBC subtypes and prebronchodilator lung function were evaluated by linear regression models and LASSO regression was used to select effective WBC subtypes. Summary statistics for WBC-associated SNPs were extracted from literature, and Mendelian randomization (MR) analysis with inverse-variance weighted (IVW) method was applied to estimate the causal effects of total WBC and subtypes on lung function among 4012 subjects from COW (n = 1126) and DFTJ cohorts (n = 2886). RESULTS Total WBC counts were negatively associated with lung function among three populations and their pooled analysis indicated that per 1 × 109 cells/L increase in total WBC was associated with 36.13 (95% CI: 30.35, 41.91) mL and 25.23 (95% CI: 19.97, 30.50) mL decrease in FVC and FEV1, respectively. Independent associations with lung function were found for neutrophils, monocytes, eosinophils and basophils (all p < .05), except lymphocytes. Besides, IVW MR analysis showed that genetically predicted total WBC and neutrophil counts were associated with reduced FVC (p = .017 and .021, respectively) and FEV1 (p = .048 and .043, respectively). CONCLUSIONS WBC subtypes were independently associated with lower lung function except lymphocytes. Our findings suggest that circulating neutrophils may be causal factors in lung function impairment.KEY MESSAGESWhite blood cell (WBC) subtypes were negatively associated with lung function level except lymphocytes in the observational studies.Associations of WBC subtypes with lung function may be modified by sex and smoking.Mendelian randomization analysis shows that neutrophils may be causal factors in lung function impairment.
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Affiliation(s)
- Xiulong Wu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chenming Wang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hang Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hua Meng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiali Jie
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ming Fu
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yansen Bai
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guyanan Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Wei
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yue Feng
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengying Li
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xin Guan
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meian He
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huan Guo
- Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Zhang SS, Yang XJ, Ma QH, Xu Y, Chen X, Wang P, Pan CW. Leukocyte related parameters in older adults with metabolically healthy and unhealthy overweight or obesity. Sci Rep 2021; 11:4652. [PMID: 33633339 PMCID: PMC7907258 DOI: 10.1038/s41598-021-84367-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 01/27/2021] [Indexed: 11/18/2022] Open
Abstract
It remains unclear whether leukocyte-related parameters could be used as biomarkers to differentiate metabolically unhealthy overweight/obesity (MUO) from metabolically healthy overweight/obesity (MHO). We aimed to examine the differences in the distribution of leukocyte-related parameters between older adults with MHO and MUO and the correlations of leukocyte-related parameters with individual components of metabolic abnormality. In the Weitang Geriatric Diseases Study on older Chinese adults aged 60 years or above, 404 individuals with MHO and 480 with MUO contributed to the analysis. Overweight/obesity was defined as body mass index (BMI) of 25 kg/m2 or more. MHO and MUO were discriminated based on the Adult Treatment Panel III (ATP III) criteria. Leukocyte-related parameters were assessed using an automated hematology analyzer. All leukocyte-related parameters except monocytes were elevated in MUO group compared with MHO group (all P < 0.05). The prevalence of MUO increased by 24% with each 109/L increase of leukocytes after adjusting for confounders in the multiple-adjusted model (P < 0.01) and each unit elevation of other parameters except lymphocytes and monocytes were significantly associated with the presence of MUO (all P < 0.01). Trend tests revealed a linear trend for the association between MUO and all the leukocyte-related parameters (all P for trend < 0.05). Significant interactions between leukocyte-related parameters and sex on the presence of MUO were observed (all P value for interaction < 0.05). Higher leukocyte-related parameters were found in patients with MUO than those with MHO and were associated with higher prevalence of MUO which seems to be sex-dependent. Further studies are needed to see whether these parameters could be used as biomarkers for the screening or diagnosis for MUO in clinical or public health practice.
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Affiliation(s)
- Shan-Shan Zhang
- School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, 215123, China
| | - Xue-Jiao Yang
- School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, 215123, China
| | - Qing-Hua Ma
- The 3rd People's Hospital of Xiangcheng District, Suzhou, 215134, China
| | - Yong Xu
- School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, 215123, China
| | - Xing Chen
- Department of Children Health Care, Affiliated Suzhou Hospital of Nanjing Medical University, No.26, Dao Qian Road, Suzhou, 215000, China.
| | - Pei Wang
- Department of Health Economics, School of Public Health,, Fudan University, 130 Dong An Road, Shanghai, 200032, China. .,Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, 200032, China.
| | - Chen-Wei Pan
- School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, 215123, China.
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Milne S, Li X, Hernandez Cordero AI, Yang CX, Cho MH, Beaty TH, Ruczinski I, Hansel NN, Bossé Y, Brandsma CA, Sin DD, Obeidat M. Protective effect of club cell secretory protein (CC-16) on COPD risk and progression: a Mendelian randomisation study. Thorax 2020; 75:934-943. [PMID: 32839289 DOI: 10.1136/thoraxjnl-2019-214487] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 06/25/2020] [Accepted: 07/10/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND The anti-inflammatory pneumoprotein club cell secretory protein-16 (CC-16) is associated with the clinical expression of chronic obstructive pulmonary disease (COPD). We aimed to determine if there is a causal effect of serum CC-16 level on the risk of having COPD and/or its progression using Mendelian randomisation (MR) analysis. METHODS We performed a genome-wide association meta-analysis for serum CC-16 in two COPD cohorts (Lung Health Study (LHS), n=3850 and ECLIPSE, n=1702). We then used the CC-16-associated single-nucleotide polymorphisms (SNPs) as instrumental variables in MR analysis to identify a causal effect of serum CC-16 on 'COPD risk' (ie, case status in the International COPD Genetics Consortium/UK-Biobank dataset; n=35 735 COPD cases, n=222 076 controls) and 'COPD progression' (ie, annual change in forced expiratory volume in 1 s in LHS and ECLIPSE). We also determined the associations between SNPs associated with CC-16 and gene expression using n=1111 lung tissue samples from the Lung Expression Quantitative Trait Locus Study. RESULTS We identified seven SNPs independently associated (p<5×10-8) with serum CC-16 levels; six of these were novel. MR analysis suggested a protective causal effect of increased serum CC-16 on COPD risk (MR estimate (SE) -0.11 (0.04), p=0.008) and progression (LHS only, MR estimate (SE) 7.40 (3.28), p=0.02). Five of the SNPs were also associated with gene expression in lung tissue (at false discovery rate <0.1) of several genes, including the CC-16-encoding gene SCGB1A1. CONCLUSION We have identified several novel genetic variants associated with serum CC-16 level in COPD cohorts. These genetic associations suggest a potential causal effect of serum CC-16 on the risk of having COPD and its progression, the biological basis of which warrants further investigation.
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Affiliation(s)
- Stephen Milne
- Centre for Heart Lung Innovation, St Paul's Hospital, The University of British Columbia, Vancouver, British Columbia, Canada .,Division of Respiratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Xuan Li
- Centre for Heart Lung Innovation, St Paul's Hospital, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Ana I Hernandez Cordero
- Centre for Heart Lung Innovation, St Paul's Hospital, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Chen Xi Yang
- Centre for Heart Lung Innovation, St Paul's Hospital, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Michael H Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Terri H Beaty
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Nadia N Hansel
- Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec, Department of Molecular Medicine, Laval University, Québec City, Québec, Canada
| | - Corry-Anke Brandsma
- University of Groningen Department of Pathology and Medical Biology, University Medical Centre Groningen, Groningen, The Netherlands
| | - Don D Sin
- Centre for Heart Lung Innovation, St Paul's Hospital, The University of British Columbia, Vancouver, British Columbia, Canada.,Division of Respiratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Maen Obeidat
- Centre for Heart Lung Innovation, St Paul's Hospital, The University of British Columbia, Vancouver, British Columbia, Canada
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8
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Faruque MO, Vonk JM, Bültmann U, Boezen HM. Airborne occupational exposures and inflammatory biomarkers in the Lifelines cohort study. Occup Environ Med 2020; 78:82-85. [PMID: 32769140 PMCID: PMC7873411 DOI: 10.1136/oemed-2020-106493] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 06/29/2020] [Accepted: 07/18/2020] [Indexed: 11/29/2022]
Abstract
Introduction Inflammatory biomarkers are associated with negative health outcomes. In this study, we investigated the associations between airborne occupational exposures and levels and changes in inflammatory biomarkers. Methods We included 79 604 adults at baseline from the Lifelines cohort of which 48 403 (60.8%) subjects were followed for a median of 4.5 years. Airborne occupational exposures at the current or last-held job at baseline were estimated with the occupational asthma-specific job-exposure matrix. Both in cross-sectional and longitudinal analyses, we used linear regression models (adjusted for age, sex, education, monthly income, body mass index, smoking, pack-years, asthma and anti-inflammatory medication) to investigate the associations between airborne occupational exposures (allergens, reactive chemicals, pesticides and micro-organisms) and inflammatory biomarkers (C reactive protein (CRP), eosinophils and neutrophils). Results In the cross-sectional analyses, exposure to allergens, reactive chemicals and micro-organisms was associated with a lower (Log) CRP level (B(95% CI)=−0.05 (−0.08 to −0.02),–0.05(−0.08 to −0.02) and −0.09(−0.16 to −0.02), respectively). Likewise, exposure to allergens, reactive chemicals, pesticides and micro-organisms was associated with a lower (log) neutrophils count (−0.01 (−0.02 to −0.01), −0.01 (−0.02 to −0.01),–0.02 (−0.04 to −0.01) and −0.02(−0.03 to −0.01), respectively). No association between airborne occupational exposures and eosinophils count was found. In the longitudinal analyses, no association between airborne occupational exposures and changes in inflammatory biomarkers was found. Conclusions At baseline, airborne occupational exposures are inversely associated with inflammation; no effect of occupational exposures on inflammation was found at follow-up. In the future studies, details of occupational exposures, such as duration of exposures and cumulative exposures, need to be included to investigate the airborne occupational exposures and inflammatory biomarkers.
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Affiliation(s)
- Md Omar Faruque
- University Medical Center Groningen, Department of Epidemiology, University of Groningen, Groningen, The Netherlands.,University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, Groningen, The Netherlands
| | - Judith M Vonk
- University Medical Center Groningen, Department of Epidemiology, University of Groningen, Groningen, The Netherlands.,University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, Groningen, The Netherlands
| | - Ute Bültmann
- Department of Health Sciences, Community and Occupational Medicine, University of Groningen, Groningen, The Netherlands
| | - H Marike Boezen
- University Medical Center Groningen, Department of Epidemiology, University of Groningen, Groningen, The Netherlands .,University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, Groningen, The Netherlands
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