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从受孕前到儿童早期特应性皮炎、鼻炎和喘息发展的外显子组的机器学习探索。

A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze development.

机构信息

Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore.

Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.

出版信息

Environ Res. 2024 Jun 1;250:118523. doi: 10.1016/j.envres.2024.118523. Epub 2024 Feb 19.

Abstract

BACKGROUND

Most previous research on the environmental epidemiology of childhood atopic eczema, rhinitis and wheeze is limited in the scope of risk factors studied. Our study adopted a machine learning approach to explore the role of the exposome starting already in the preconception phase.

METHODS

We performed a combined analysis of two multi-ethnic Asian birth cohorts, the Growing Up in Singapore Towards healthy Outcomes (GUSTO) and the Singapore PREconception Study of long Term maternal and child Outcomes (S-PRESTO) cohorts. Interviewer-administered questionnaires were used to collect information on demography, lifestyle and childhood atopic eczema, rhinitis and wheeze development. Data training was performed using XGBoost, genetic algorithm and logistic regression models, and the top variables with the highest importance were identified. Additive explanation values were identified and inputted into a final multiple logistic regression model. Generalised structural equation modelling with maternal and child blood micronutrients, metabolites and cytokines was performed to explain possible mechanisms.

RESULTS

The final study population included 1151 mother-child pairs. Our findings suggest that these childhood diseases are likely programmed in utero by the preconception and pregnancy exposomes through inflammatory pathways. We identified preconception alcohol consumption and maternal depressive symptoms during pregnancy as key modifiable maternal environmental exposures that increased eczema and rhinitis risk. Our mechanistic model suggested that higher maternal blood neopterin and child blood dimethylglycine protected against early childhood wheeze. After birth, early infection was a key driver of atopic eczema and rhinitis development.

CONCLUSION

Preconception and antenatal exposomes can programme atopic eczema, rhinitis and wheeze development in utero. Reducing maternal alcohol consumption during preconception and supporting maternal mental health during pregnancy may prevent atopic eczema and rhinitis by promoting an optimal antenatal environment. Our findings suggest a need to include preconception environmental exposures in future research to counter the earliest precursors of disease development in children.

摘要

背景

大多数关于儿童特应性皮炎、鼻炎和哮喘的环境流行病学的既往研究在研究的危险因素范围内存在局限性。我们的研究采用机器学习方法,探索从受孕前阶段开始的暴露组学的作用。

方法

我们对两个多民族亚洲出生队列,即新加坡儿童健康结局研究(GUSTO)和新加坡受孕前母婴长期结局研究(S-PRESTO)进行了联合分析。通过面访调查员收集人口统计学、生活方式以及儿童特应性皮炎、鼻炎和哮喘发展情况的信息。使用 XGBoost、遗传算法和逻辑回归模型进行数据训练,并确定具有最高重要性的前变量。确定附加解释值并输入最终的多逻辑回归模型。使用母体和儿童血液微量营养素、代谢物和细胞因子进行广义结构方程建模,以解释可能的机制。

结果

最终的研究人群包括 1151 对母婴。我们的研究结果表明,这些儿童疾病可能通过受孕前和孕期的暴露组学通过炎症途径在子宫内编程。我们发现受孕前饮酒和孕期母亲抑郁症状是增加特应性皮炎和鼻炎风险的关键可改变的母体环境暴露。我们的机制模型表明,较高的母体血液新蝶呤和儿童血液二甲氨基甘氨酸可预防儿童早期哮喘。出生后,早期感染是特应性皮炎和鼻炎发展的关键驱动因素。

结论

受孕前和孕期的暴露组学可以在子宫内编程特应性皮炎、鼻炎和哮喘的发展。减少受孕前母亲饮酒量并在孕期支持母亲心理健康,可能通过促进最佳的孕期环境来预防特应性皮炎和鼻炎。我们的研究结果表明,需要将受孕前环境暴露纳入未来的研究中,以应对儿童疾病发展的最早前兆。

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