4.5 Review

Paediatric asthma and non-allergic comorbidities: A review of current risk and proposed mechanisms

期刊

CLINICAL AND EXPERIMENTAL ALLERGY
卷 52, 期 9, 页码 1035-1047

出版社

WILEY
DOI: 10.1111/cea.14207

关键词

anxiety; asthma; children; comorbidity; depression; obesity; sleep

资金

  1. Hjart--Lungfonden
  2. Vetenskapsradet
  3. Swedish Heart-Lung Foundation
  4. Swedish Research Council

向作者/读者索取更多资源

Recent studies have found that children with asthma are at a higher risk of developing other non-allergic concurrent diseases. These comorbidities include obesity, depression and anxiety, neurodevelopmental disorders, sleep disorders, and autoimmune diseases. The studies have identified potential mechanisms such as early life risk factors, common genetic factors, causal relationships, asthma medication, and embryologic origins. Future research should focus on objective measures of asthma, larger genetic analyses, and gene-environment interactions. The findings of these studies have important implications for clinical practice and asthma management.
It is increasingly recognized that children with asthma are at a higher risk of other non-allergic concurrent diseases than the non-asthma population. A plethora of recent research has reported on these comorbidities and progress has been made in understanding the mechanisms for comorbidity. The goal of this review was to assess the most recent evidence (2016-2021) on the extent of common comorbidities (obesity, depression and anxiety, neurodevelopmental disorders, sleep disorders and autoimmune diseases) and the latest mechanistic research, highlighting knowledge gaps requiring further investigation. We found that the majority of recent studies from around the world demonstrate that children with asthma are at an increased risk of having at least one of the studied comorbidities. A range of potential mechanisms were identified including common early life risk factors, common genetic factors, causal relationships, asthma medication and embryologic origins. Studies varied in their selection of population, asthma definition and outcome definitions. Next, steps in future studies should include using objective measures of asthma, such as lung function and immunological data, as well as investigating asthma phenotypes and endotypes. Larger complex genetic analyses are needed, including genome-wide association studies, gene expression-functional as well as pathway analyses or Mendelian randomization techniques; and identification of gene-environment interactions, such as epi-genetic studies or twin analyses, including omics and early life exposure data. Importantly, research should have relevance to clinical and public health translation including clinical practice, asthma management guidelines and intervention studies aimed at reducing comorbidities.

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