Miao Shuchuan, Wang Xiaoyan, Ma Lu, You Chao
Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
Department of Neurosurgery, Chengdu Seventh People's Hospital, Chengdu, China.
PLoS One. 2024 Aug 1;19(8):e0308301. doi: 10.1371/journal.pone.0308301. eCollection 2024.
Current evidence linking sedentary behavior (SB), physical activity (PA), and inflammation raises questions about their causal relationships, prompting concerns about potential residual confounding or reverse causation.
A bidirectional Mendelian randomization (MR) analysis was conducted. SB data (n = 408,815) from "computer use," "television watching," and "driving" were included. The PA data encompassed nine types of PA (n = 460,376) over the last four weeks and included data on the frequency of vigorous PA (n = 440,512) and moderate PA (n = 440,266) for over 10 min. Additionally, three genome-wide association study datasets (n = 64,949) on light, moderate, and vigorous exercise were included to minimize potential bias from changes in exercise intensity. Inflammation data included levels of C-reactive protein (CRP) (n = 575,531), glycoprotein acetyl (GlycA) (n = 115,082), interleukin (IL)-8, IL-6, IL-6 receptor (IL-6R), and soluble IL-6R (sIL-6R) (n = 35,278). All datasets represented participants of European ancestry.
Television watching as an SB showed significant positive causal effects on GlycA and CRP (inverse variance weighted (IVW), odds ratios (OR): 1.34, 95% confidence intervals (CI): 1.25-1.44, p = 3.570 × 10-17; IVW, OR: 1.21, 95% CI: 1.16-1.26, p = 1.500 × 10-19, respectively), with more robust evidence for GlycA. In the direction from inflammation to PA, a negative causal relationship between CRP and"number of days/week of moderate PA 10+ minutes"was observed (IVW, OR: 0.92, 95% CI: 0.89-0.96, p = 3.260 × 10-5). Sensitivity analyses were used to verify the robustness and reliability of the results. However, other initially observed associations ceased to be significant after controlling for obesity-related confounders.
Our MR analysis suggested a potential causal relationship between television watching and chronic low-grade inflammation, with more substantial evidence for GlycA. Additionally, different types of SB may have varying effects on inflammation. Obesity-related traits could partly or entirely influence the relationship between SB, PA, and inflammatory markers. Furthermore, Our findings indicate that SB is an independent risk factor for inflammation, separate from PA, and highlight the different mechanisms by which SB and PA affect disease.
目前将久坐行为(SB)、身体活动(PA)与炎症联系起来的证据引发了关于它们因果关系的问题,引发了对潜在残余混杂因素或反向因果关系的担忧。
进行了双向孟德尔随机化(MR)分析。纳入了来自“电脑使用”“看电视”和“开车”的SB数据(n = 408,815)。PA数据涵盖过去四周内的九种PA类型(n = 460,376),并包括了持续10分钟以上的剧烈PA(n = 440,512)和中度PA(n = 440,266)的频率数据。此外,纳入了三个关于轻度、中度和剧烈运动的全基因组关联研究数据集(n = 64,949),以尽量减少运动强度变化带来的潜在偏差。炎症数据包括C反应蛋白(CRP)水平(n = 575,531)、糖蛋白乙酰化产物(GlycA)(n = 115,082)、白细胞介素(IL)-8、IL-6、IL-6受体(IL-6R)和可溶性IL-6R(sIL-6R)(n = 35,278)。所有数据集均代表欧洲血统的参与者。
看电视作为一种SB行为,对GlycA和CRP显示出显著的正向因果效应(逆方差加权(IVW),优势比(OR):1.34,95%置信区间(CI):1.25 - 1.44,p = 3.570×10 - 17;IVW,OR:1.21,95% CI:1.16 - 1.26,p = 1.500×10 - 19),对GlycA的证据更充分。在从炎症到PA的方向上,观察到CRP与“每周进行10分钟以上中度PA的天数”之间存在负向因果关系(IVW,OR:0.92,95% CI:0.89 - 0.96,p = 3.260×10 - 5)。采用敏感性分析来验证结果的稳健性和可靠性。然而,在控制了与肥胖相关的混杂因素后,其他最初观察到的关联不再显著。
我们的MR分析表明,看电视与慢性低度炎症之间可能存在因果关系,对GlycA的证据更充分。此外,不同类型的SB行为对炎症可能有不同影响。与肥胖相关的特征可能部分或完全影响SB、PA与炎症标志物之间的关系。此外,我们的研究结果表明,SB是炎症的独立危险因素,与PA无关,并突出了SB和PA影响疾病的不同机制。