■本研究调查了12种醛浓度对心血管疾病(CVD)的个体和累积影响。
■纳入了2013-2014年全国健康和营养检查调查的1529人。我们评估了12种醛的血清浓度,包括苯甲醛,丁醛,巴豆醛,癸醛,庚醛,己醛,异芬太尼醛,壬醛,辛醛,邻甲甲醛,戊醛,还有丙醛.根据问卷调查的自我报告的疾病史确定CVD患者。贝叶斯核机回归用于评估12醛浓度对CVD的累积影响。加权和非加权逻辑回归用于评估血清醛浓度与CVD的关系,将效应大小表示为比值比(OR),95%置信区间(CI)。此外,还进行了有限的三次样条分析,以探讨苯甲醛与CVD之间的关系。
■在参与者中,111(7.3%)被鉴定为患有CVD。与没有CVD的患者相比,CVD患者的异芬太尼醛浓度明显更高。贝叶斯核机回归表明醛对CVD没有累积作用。非加权逻辑回归分析显示,校正年龄和性别后,苯甲醛与CVD呈正相关(OR=1.12,95%CI=1.03-1.21)。这种关联在调整了年龄后仍然存在,性别,种族,教育,高血压,糖尿病,酒精消费,吸烟,OR为1.12(95%CI=1.02-1.22)。有限的三次样条显示苯甲醛和CVD之间的线性关联。在加权逻辑模型中,苯甲醛与CVD之间的相关性仍然显着(OR=1.17,95%CI=1.06-1.29)。然而,其他醛与CVD之间未发现显著关联.
■我们的研究揭示了苯甲醛对CVD的潜在作用。未来的研究应该在不同的人群中进一步验证这些发现,并阐明潜在的生物学机制。
UNASSIGNED: This study investigates the individual and cumulative effects of 12 aldehydes concentrations on cardiovascular disease (CVD).
UNASSIGNED: A total of 1529 individuals from the 2013-2014 National Health and Nutrition Examination Survey were enrolled. We assessed serum concentrations of 12 aldehydes, including benzaldehyde, butyraldehyde, crotonaldehyde, decanaldehyde, heptanaldehyde, hexanaldehyde, isopentanaldehyde, nonanaldehyde, octanaldehyde, o-tolualdehyde, pentanaldehyde, and propanaldehyde. CVD patients were identified based on self-reported disease history from questionnaires. The Bayesian kernel machine regression was used to evaluate the cumulative effect of 12
aldehyde concentrations on CVD. Both weighted and unweighted logistic regression were used to assess the association of serum
aldehyde concentrations with CVD, presenting effect sizes as odds ratio (OR) with 95% confidence interval (CI). Additionally, a restricted cubic spline analysis was also conducted to explore the relationship between benzaldehyde and CVD.
UNASSIGNED: Among the participants, 111 (7.3%) were identified as having CVD. Isopentanaldehyde concentrations were notably higher in CVD patients compared to those without CVD. Bayesian kernel machine regression indicated no cumulative effect of aldehydes on CVD. Unweighted logistic regression revealed a positive association between benzaldehyde and CVD when adjusting for age and sex (OR = 1.12, 95% CI = 1.03-1.21). This association persisted after adjusting for age, sex, race, education, hypertension, diabetes, alcohol consumption, and smoking, with an OR of 1.12 (95% CI = 1.02-1.22). The restricted cubic spline showed a linear association between benzaldehyde and CVD. In the weighted logistic model, the association between benzaldehyde and CVD remains significant (OR = 1.17, 95% CI = 1.06-1.29). However, no significant association was found between other aldehydes and CVD.
UNASSIGNED: Our study reveals the potential contributing role of benzaldehyde to CVD. Future studies should further validate these findings in diverse populations and elucidate the underlying biological mechanisms.