Smoking, Corneal Biomechanics, and Glaucoma: Results From Two Large Population-Based Cohorts

被引:5
作者
Stuart, Kelsey V. [1 ,2 ]
Madjedi, Kian M. [1 ,2 ,3 ]
Luben, Robert N. [1 ,2 ,4 ]
Biradar, Mahantesh I. [1 ,2 ]
Wagner, Siegfried K. [1 ,2 ]
Warwick, Alasdair N. [5 ]
Sun, Zihan [1 ,2 ]
Hysi, Pirro G. [6 ,7 ]
Simcoe, Mark J. [1 ,2 ,6 ,7 ]
Foster, Paul J. [1 ,2 ]
Khawaja, Anthony P. [1 ,2 ]
机构
[1] Moorfields Eye Hosp NHS Fdn Trust, NIHR Biomed Res Ctr, London, England
[2] UCL Inst Ophthalmol, 11-43 Bath St, London EC1V 9EL, England
[3] Univ Calgary, Dept Ophthalmol, Calgary, AB, Canada
[4] Univ Cambridge, MRC Epidemiol Unit, Cambridge, England
[5] UCL, UCL Inst Cardiovasc Sci, London, England
[6] Kings Coll London, Dept Ophthalmol, St Thomas Hosp, London, England
[7] Kings Coll London, Dept Twin Res & Genet Epidemiol, St Thomas Hosp, London, England
基金
英国科研创新办公室;
关键词
smoking; corneal biomechanics; glaucoma; intraocular pressure; epidemiology; OPEN-ANGLE GLAUCOMA; INTRAOCULAR-PRESSURE; CIGARETTE-SMOKING; MENDELIAN RANDOMIZATION; CROSS-LINKING; ASSOCIATION; INSTRUMENTS; PREVALENCE; RISK; BIAS;
D O I
10.1167/iovs.65.1.11
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
PURPOSE. Smoking may influence measured IOP through an effect on corneal biomechanics, but it is unclear whether this factor translates into an increased risk for glaucoma. This study aimed to examine the association of cigarette smoking with corneal biomechanical properties and glaucoma-related traits, and to probe potential causal effects using Mendelian randomization (MR). METHODS. Cross-sectional analyses within the UK Biobank (UKB) and Canadian Longitudinal Study on Aging (CLSA) cohorts. Multivariable linear and logistic regression models were used to assess associations of smoking (status, intensity, and duration) with corneal hysteresis (CH), corneal resistance factor, IOP, inner retinal thicknesses, and glaucoma. Two-sample MR analyses were performed. RESULTS. Overall, 68,738 UKB (mean age, 56.7 years; 54.7% women) and 22 845 CLSA (mean age, 62.7 years; 49.1% women) participants were included. Compared with nonsmokers, smokers had a higher CH (UKB, +0.48 mm Hg; CLSA, +0.57 mm Hg; P < 0.001) and corneal resistance factor (UKB, +0.47 mm Hg; CLSA, +0.60 mm Hg; P < 0.001) with evidence of a dose-response effect in both studies. Differential associations with Goldmann-correlated IOP (UKB, +0.25 mm Hg; CLSA, +0.36 mm Hg; P < 0.001) and corneal-compensated IOP (UKB, -0.28 mm Hg; CLSA, -0.32 mm Hg; P <= 0.001) were observed. Smoking was not associated with inner retinal thicknesses or glaucoma status in either study. MR provided evidence for a causal effect of smoking on corneal biomechanics, especially higher CH. CONCLUSIONS. Cigarette smoking seems to increase corneal biomechanical resistance to deformation, but there was little evidence to support a relationship with glaucoma. This outcome may result in an artefactual association with measured IOP and could account for discordant results with glaucoma in previous epidemiological studies.
引用
收藏
页数:11
相关论文
共 54 条
  • [1] A global reference for human genetic variation
    Altshuler, David M.
    Durbin, Richard M.
    Abecasis, Goncalo R.
    Bentley, David R.
    Chakravarti, Aravinda
    Clark, Andrew G.
    Donnelly, Peter
    Eichler, Evan E.
    Flicek, Paul
    Gabriel, Stacey B.
    Gibbs, Richard A.
    Green, Eric D.
    Hurles, Matthew E.
    Knoppers, Bartha M.
    Korbel, Jan O.
    Lander, Eric S.
    Lee, Charles
    Lehrach, Hans
    Mardis, Elaine R.
    Marth, Gabor T.
    McVean, Gil A.
    Nickerson, Deborah A.
    Wang, Jun
    Wilson, Richard K.
    Boerwinkle, Eric
    Doddapaneni, Harsha
    Han, Yi
    Korchina, Viktoriya
    Kovar, Christie
    Lee, Sandra
    Muzny, Donna
    Reid, Jeffrey G.
    Zhu, Yiming
    Chang, Yuqi
    Feng, Qiang
    Fang, Xiaodong
    Guo, Xiaosen
    Jian, Min
    Jiang, Hui
    Jin, Xin
    Lan, Tianming
    Li, Guoqing
    Li, Jingxiang
    Li, Yingrui
    Liu, Shengmao
    Liu, Xiao
    Lu, Yao
    Ma, Xuedi
    Tang, Meifang
    Wang, Bo
    [J]. NATURE, 2015, 526 (7571) : 68 - +
  • [2] Origin and use of the 100 cigarette criterion in tobacco surveys
    Bondy, S. J.
    Victor, J. C.
    Diemert, L. M.
    [J]. TOBACCO CONTROL, 2009, 18 (04) : 317 - 323
  • [3] Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic
    Bowden, Jack
    Del Greco, Fabiola M.
    Minelli, Cosetta
    Smith, George Davey
    Sheehan, Nuala A.
    Thompson, John R.
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2016, 45 (06) : 1961 - 1974
  • [4] Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
    Bowden, Jack
    Smith, George Davey
    Haycock, Philip C.
    Burgess, Stephen
    [J]. GENETIC EPIDEMIOLOGY, 2016, 40 (04) : 304 - 314
  • [5] Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
    Bowden, Jack
    Smith, George Davey
    Burgess, Stephen
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2015, 44 (02) : 512 - 525
  • [6] Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
    Burgess, Stephen
    Butterworth, Adam
    Thompson, Simon G.
    [J]. GENETIC EPIDEMIOLOGY, 2013, 37 (07) : 658 - 665
  • [7] Avoiding bias from weak instruments in Mendelian randomization studies
    Burgess, Stephen
    Thompson, Simon G.
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2011, 40 (03) : 755 - 764
  • [8] The UK Biobank resource with deep phenotyping and genomic data
    Bycroft, Clare
    Freeman, Colin
    Petkova, Desislava
    Band, Gavin
    Elliott, Lloyd T.
    Sharp, Kevin
    Motyer, Allan
    Vukcevic, Damjan
    Delaneau, Olivier
    O'Connell, Jared
    Cortes, Adrian
    Welsh, Samantha
    Young, Alan
    Effingham, Mark
    McVean, Gil
    Leslie, Stephen
    Allen, Naomi
    Donnelly, Peter
    Marchini, Jonathan
    [J]. NATURE, 2018, 562 (7726) : 203 - +
  • [9] Associations with Intraocular Pressure in a Large Cohort Results from the UK Biobank
    Chan, Michelle P. Y.
    Grossi, Carlota M.
    Khawaja, Anthony P.
    Yip, Jennifer L. Y.
    Khaw, Kay-Tee
    Patel, Praveen J.
    Khaw, Peng T.
    Morgan, James E.
    Vernon, Stephen A.
    Foster, Paul J.
    [J]. OPHTHALMOLOGY, 2016, 123 (04) : 771 - 782
  • [10] Cohort profile: design and methods in the eye and vision consortium of UK Biobank
    Chua, Sharon Yu Lin
    Thomas, Dhanes
    Allen, Naomi
    Lotery, Andrew
    Desai, Parul
    Patel, Praveen
    Muthy, Zaynah
    Sudlow, Cathie
    Peto, Tunde
    Khaw, Peng Tee
    Foster, Paul J.
    Aslam, Tariq
    Barman, Sarah A.
    Barrett, Jenny H.
    Bishop, Paul
    Blows, Peter
    Bunce, Catey
    Carare, Roxana O.
    Chakravarthy, Usha
    Chan, Michelle
    Chua, Sharon Y. L.
    Crabb, David P.
    Cumberland, Philippa M.
    Day, Alexander
    Desai, Parul
    Dhillon, Bal
    Dick, Andrew D.
    Egan, Cathy
    Ennis, Sarah
    Foster, Paul
    Fruttiger, Marcus
    Gallacher, John E. J.
    Garway-Heath, David F.
    Gibson, Jane
    Gore, Dan
    Guggenheim, Jeremy A.
    Hammond, Chris J.
    Hardcastle, Alison
    Harding, Simon P.
    Hogg, Ruth E.
    Hysi, Pirro
    Keane, Pearse A.
    Khaw, Peng T.
    Khawaja, Anthony P.
    Lascaratos, Gerassimos
    Lotery, Andrew J.
    Gillivray, TomMac
    Mackie, Sarah
    Martin, Keith
    McGaughey, Michelle
    [J]. BMJ OPEN, 2019, 9 (02):