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表观遗传学在哮喘多代传递中的作用:基于 NIAID 研讨会报告的叙述性综述。

The role of epigenetics in multi-generational transmission of asthma: An NIAID workshop report-based narrative review.

机构信息

National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, Maryland, USA.

Faculty of Medicine, Human Development and Health, University of Southampton, Southampton, UK.

出版信息

Clin Exp Allergy. 2022 Nov;52(11):1264-1275. doi: 10.1111/cea.14223. Epub 2022 Oct 6.

Abstract

There is mounting evidence that environmental exposures can result in effects on health that can be transmitted across generations, without the need for a direct exposure to the original factor, for example, the effect of grandparental smoking on grandchildren. Hence, an individual's health should be investigated with the knowledge of cross-generational influences. Epigenetic factors are molecular factors or processes that regulate genome activity and may impact cross-generational effects. Epigenetic transgenerational inheritance has been demonstrated in plants and animals, but the presence and extent of this process in humans are currently being investigated. Experimental data in animals support transmission of asthma risk across generations from a single exposure to the deleterious factor and suggest that the nature of this transmission is in part due to changes in DNA methylation, the most studied epigenetic process. The association of father's prepuberty exposure with offspring risk of asthma and lung function deficit may also be mediated by epigenetic processes. Multi-generational birth cohorts are ideal to investigate the presence and impact of transfer of disease susceptibility across generations and underlying mechanisms. However, multi-generational studies require recruitment and assessment of participants over several decades. Investigation of adult multi-generation cohorts is less resource intensive but run the risk of recall bias. Statistical analysis is challenging given varying degrees of longitudinal and hierarchical data but path analyses, structural equation modelling and multilevel modelling can be employed, and directed networks addressing longitudinal effects deserve exploration as an effort to study causal pathways.

摘要

越来越多的证据表明,环境暴露会对健康产生影响,这些影响可以在不直接接触原始因素的情况下传递给后代,例如,祖父母吸烟对孙辈的影响。因此,个体的健康应该在了解跨代影响的情况下进行调查。表观遗传因素是调节基因组活性的分子因素或过程,可能会影响跨代效应。在植物和动物中已经证明了表观遗传的跨代遗传,但这种过程在人类中的存在和程度目前正在研究中。动物的实验数据支持从单一暴露于有害因素到跨代传递哮喘风险的观点,并表明这种传递的性质部分归因于 DNA 甲基化的变化,这是研究最多的表观遗传过程。父亲青春期前暴露与后代哮喘和肺功能缺陷风险之间的关联也可能是由表观遗传过程介导的。多代出生队列是研究跨代疾病易感性转移的存在和影响以及潜在机制的理想选择。然而,多代研究需要在几十年内招募和评估参与者。对成年多代队列的研究资源投入较少,但存在回忆偏倚的风险。由于纵向和层次数据的程度不同,统计分析具有挑战性,但可以采用路径分析、结构方程模型和多层次模型,并且值得探索有向网络来研究纵向效应,以研究因果途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e003/9828153/de146bd550b2/CEA-52-1264-g004.jpg

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