MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1016/j.envres.2024.118523

Медицинская библиотека · Environmental research · 2024

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

Dong Yizhi, Lau Hui Xing, Suaini Noor Hidayatul Aini, Kee Michelle Zhi Ling, Ooi Delicia Shu Qin, Shek Lynette Pei-Chi, Lee Bee Wah, Godfrey Keith M, Tham Elizabeth Huiwen, Ong Marcus Eng Hock, Liu Nan, Wong Limsoon, Tan Kok Hian, Chan Jerry Kok Yen, Yap Fabian Kok Peng, Chong Yap Seng, Eriksson Johan Gunnar, Feng Mengling, Loo Evelyn Xiu Ling

СтатьяПеревод в очереди

Аннотация

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.

Для цитирования: Dong Yizhi, Lau Hui Xing, Suaini Noor Hidayatul Aini, Kee Michelle Zhi Ling, Ooi Delicia Shu Qin, Shek Lynette Pei-Chi, Lee Bee Wah, Godfrey Keith M, Tham Elizabeth Huiwen, Ong Marcus Eng Hock, Liu Nan, Wong Limsoon, Tan Kok Hian, Chan Jerry Kok Yen, Yap Fabian Kok Peng, Chong Yap Seng, Eriksson Johan Gunnar, Feng Mengling, Loo Evelyn Xiu Ling. A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze development.. Environmental research. 2024. DOI: 10.1016/j.envres.2024.118523.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.