Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Arthritis Rheumatol. 2023 Nov;75(11):2027-2035. doi: 10.1002/art.42613. Epub 2023 Sep 28.
Although the association between obesity and risk of rheumatic disease is well established, the precise causal relation has not been conclusively proven. Here, we estimate the causal effect of body mass index (BMI) on the risk of developing 5 different rheumatic diseases.
Linear and nonlinear mendelian randomization (MR) were used to estimate the effect of BMI on risk of rheumatic disease, and sex-specific effects were identified. Analyses were performed in 361,952 participants from the UK Biobank cohort for 5 rheumatic diseases: rheumatoid arthritis (n = 8,381 cases), osteoarthritis (n = 87,430), psoriatic arthropathy (n = 933), gout (n = 13,638), and inflammatory spondylitis (n = 4,328).
Using linear MR, we found that 1 SD increase in BMI increases the incidence rate for rheumatoid arthritis (incidence rate ratio [IRR] 1.52 [95% confidence interval (95% CI) 1.36-1.69]), osteoarthritis (IRR 1.49 [95% CI 1.43-1.55]), psoriatic arthropathy (IRR 1.80 [95% CI 1.31-2.48]), gout (IRR 1.73 [95% CI 1.56-1.92]), and inflammatory spondylitis (IRR 1.34 [95% CI 1.14-1.57]) in all individuals. BMI was found to be a stronger risk factor in women compared to men for psoriatic arthropathy (P for sex interaction = 3.3 × 10 ) and gout (P for sex interaction = 4.3 × 10 ), and the effect on osteoarthritis was stronger in premenopausal compared to postmenopausal women (P = 1.8 × 10 ). Nonlinear effects of BMI were identified for osteoarthritis and gout in men, and for gout in women. The nonlinearity for gout was also more extreme in men compared to women (P = 0.03).
Higher BMI causes an increased risk for rheumatic disease, an effect that is more pronounced in women for both gout and psoriatic arthropathy. The novel sex- and BMI-specific causal effects identified here provide further insight into rheumatic disease etiology and mark an important step toward personalized medicine.
尽管肥胖与风湿性疾病风险之间的关联已得到充分证实,但确切的因果关系尚未得到明确证实。在这里,我们估计体重指数(BMI)对 5 种不同风湿性疾病发病风险的因果影响。
使用线性和非线性孟德尔随机化(MR)来估计 BMI 对风湿性疾病风险的影响,并确定性别特异性影响。在英国生物库队列的 361952 名参与者中对 5 种风湿性疾病进行了分析:类风湿关节炎(n=8381 例)、骨关节炎(n=87430 例)、银屑病关节炎(n=933 例)、痛风(n=13638 例)和炎症性脊柱炎(n=4328 例)。
使用线性 MR,我们发现 BMI 每增加 1 个标准差,类风湿关节炎的发病率就会增加(发病率比[IRR]1.52[95%置信区间(95%CI)1.36-1.69])、骨关节炎(IRR 1.49[95%CI 1.43-1.55])、银屑病关节炎(IRR 1.80[95%CI 1.31-2.48])、痛风(IRR 1.73[95%CI 1.56-1.92])和炎症性脊柱炎(IRR 1.34[95%CI 1.14-1.57])在所有个体中。与男性相比,BMI 对女性的影响在银屑病关节炎(P 性别交互作用=3.3×10)和痛风(P 性别交互作用=4.3×10)中更为明显,并且在绝经前女性中对骨关节炎的影响更强(P=1.8×10)。在男性中发现 BMI 对骨关节炎和痛风有非线性影响,在女性中发现对痛风有非线性影响。与女性相比,男性的痛风的非线性程度更为明显(P=0.03)。
更高的 BMI 导致风湿性疾病的风险增加,这种影响在女性中更为明显,无论是痛风还是银屑病关节炎。这里确定的新的性别和 BMI 特异性因果效应为风湿性疾病病因学提供了进一步的见解,并朝着个性化医学迈出了重要的一步。