State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia.
Obesity (Silver Spring). 2023 Aug;31(8):2199-2208. doi: 10.1002/oby.23807. Epub 2023 Jul 6.
This study aimed to evaluate the association of central obesity with retinal neurodegeneration.
Databases from the UK Biobank study and the Chinese Ocular Imaging Project (COIP) were included for cross-sectional and longitudinal analyses, respectively. Retinal ganglion cell-inner plexiform layer thickness (GCIPLT) measured by optical coherence tomography (OCT) was used as a retinal indicator of neurodegeneration. All subjects were divided into six obesity phenotypes according to BMI (normal, overweight, obesity) and waist to hip ratio (WHR; normal, high). Multivariable linear regression models were fitted to investigate the association of obesity phenotypes with GCIPLT.
A total of 22,827 and 2082 individuals from UK Biobank (mean age: 55.06 [SD 8.27] years, women: 53.2%) and COIP (mean age: 63.02 [SD 8.35 years], women: 61.9%) were included, respectively. Cross-sectional analysis showed GCIPLT was significantly thinner in normal BMI/high WHR individuals compared with normal BMI/normal WHR individuals (β = -0.33 μm, 95% CI = -0.61, -0.04, p = 0.045). But thinner GCIPLT was not observed in individuals with obesity/normal WHR. After 2-year follow-up in COIP, normal BMI/high WHR was associated with accelerated GCIPLT thinning (β = -0.28 μm/y, 95% CI = -0.45, -0.10, p = 0.02), whereas obesity/normal WHR was not.
Even with normal weight, central obesity was associated with accelerated GCIPLT thinning cross-sectionally and longitudinally.
本研究旨在评估中心性肥胖与视网膜神经退行性变的关系。
分别纳入英国生物库研究(UK Biobank study)和中国眼部影像学研究(COIP)的数据库进行横断面和纵向分析。使用光学相干断层扫描(OCT)测量的视网膜节细胞-内丛状层厚度(GCIPLT)作为视网膜神经退行性变的指标。所有受试者根据 BMI(正常、超重、肥胖)和腰臀比(WHR;正常、高)分为 6 种肥胖表型。采用多变量线性回归模型探讨肥胖表型与 GCIPLT 的关系。
UK Biobank(平均年龄:55.06±8.27 岁,女性:53.2%)和 COIP(平均年龄:63.02±8.35 岁,女性:61.9%)分别纳入了 22827 人和 2082 人。横断面分析显示,与正常 BMI/正常 WHR 个体相比,正常 BMI/高 WHR 个体的 GCIPLT 明显变薄(β=-0.33μm,95%CI=-0.61,-0.04,p=0.045)。但肥胖/正常 WHR 个体中并未观察到 GCIPLT 变薄。在 COIP 的 2 年随访中,正常 BMI/高 WHR 与 GCIPLT 变薄加速相关(β=-0.28μm/y,95%CI=-0.45,-0.10,p=0.02),而肥胖/正常 WHR 则没有。
即使体重正常,中心性肥胖也与 GCIPLT 变薄的横断面和纵向进展有关。