Steroid Hormone Biosynthesis and Dietary Related Metabolites associated with Excessive Daytime Sleepiness

Tariq Faquih, Kaitlin S Potts, Bing Yu, Robert Kaplan, Carmen R. Isasi, Qibin Qi, Kent Taylor, Peter Y. Liu, Russell Tracy, Craig Johnson, Steve Rich, Clary B Clish, Robert E Gerszten, Jerome Rotter, Susan Redline, Tamar Sofer, Heming Wang
{"title":"Steroid Hormone Biosynthesis and Dietary Related Metabolites associated with Excessive Daytime Sleepiness","authors":"Tariq Faquih, Kaitlin S Potts, Bing Yu, Robert Kaplan, Carmen R. Isasi, Qibin Qi, Kent Taylor, Peter Y. Liu, Russell Tracy, Craig Johnson, Steve Rich, Clary B Clish, Robert E Gerszten, Jerome Rotter, Susan Redline, Tamar Sofer, Heming Wang","doi":"10.1101/2024.09.12.24313561","DOIUrl":null,"url":null,"abstract":"Background\nExcessive daytime sleepiness (EDS) is a complex sleep problem that affects approximately 33% of the United States population. Although EDS usually occurs in conjunction with insufficient sleep, and other sleep and circadian disorders, recent studies have shown unique genetic markers and metabolic pathways underlying EDS. Here, we aimed to further elucidate the biological profile of EDS using large scale single- and pathway-level metabolomics analyses. Methods\nMetabolomics data were available for 877 metabolites in 6,071 individuals from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and EDS was assessed using the Epworth Sleepiness Scale (ESS) questionnaire. We performed linear regression for each metabolite on continuous ESS, adjusting for demographic, lifestyle, and physiological confounders, and in sex specific groups. Subsequently, gaussian graphical modelling was performed coupled with pathway and enrichment analyses to generate a holistic interactive network of the metabolomic profile of EDS associations. Findings\nWe identified seven metabolites belonging to steroids, sphingomyelin, and long chain fatty acids sub-pathways in the primary model associated with EDS, and an additional three metabolites in the male-specific analysis. The identified metabolites particularly played a role in steroid hormone biosynthesis. Interpretation\nOur findings indicate that an EDS metabolomic profile is characterized by endogenous and dietary metabolites within the steroid hormone biosynthesis pathway, with some pathways that differ by sex. Our findings identify potential pathways to target for addressing the causes or consequences of EDS and related sleep disorders. Funding Details regarding funding supporting this work and all studies involved are provided in the acknowledgments section.","PeriodicalId":501071,"journal":{"name":"medRxiv - Epidemiology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.12.24313561","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background Excessive daytime sleepiness (EDS) is a complex sleep problem that affects approximately 33% of the United States population. Although EDS usually occurs in conjunction with insufficient sleep, and other sleep and circadian disorders, recent studies have shown unique genetic markers and metabolic pathways underlying EDS. Here, we aimed to further elucidate the biological profile of EDS using large scale single- and pathway-level metabolomics analyses. Methods Metabolomics data were available for 877 metabolites in 6,071 individuals from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and EDS was assessed using the Epworth Sleepiness Scale (ESS) questionnaire. We performed linear regression for each metabolite on continuous ESS, adjusting for demographic, lifestyle, and physiological confounders, and in sex specific groups. Subsequently, gaussian graphical modelling was performed coupled with pathway and enrichment analyses to generate a holistic interactive network of the metabolomic profile of EDS associations. Findings We identified seven metabolites belonging to steroids, sphingomyelin, and long chain fatty acids sub-pathways in the primary model associated with EDS, and an additional three metabolites in the male-specific analysis. The identified metabolites particularly played a role in steroid hormone biosynthesis. Interpretation Our findings indicate that an EDS metabolomic profile is characterized by endogenous and dietary metabolites within the steroid hormone biosynthesis pathway, with some pathways that differ by sex. Our findings identify potential pathways to target for addressing the causes or consequences of EDS and related sleep disorders. Funding Details regarding funding supporting this work and all studies involved are provided in the acknowledgments section.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
与白天过度嗜睡有关的类固醇激素生物合成和膳食相关代谢物
背景 白天过度嗜睡(EDS)是一种复杂的睡眠问题,影响着大约 33% 的美国人口。虽然 EDS 通常与睡眠不足以及其他睡眠和昼夜节律紊乱同时发生,但最近的研究显示了 EDS 潜在的独特遗传标记和代谢途径。在此,我们旨在通过大规模的单一和通路级代谢组学分析,进一步阐明 EDS 的生物学特征。方法:我们从西班牙裔社区健康研究/拉丁裔研究(HCHS/SOL)中获得了 6071 人的 877 种代谢物的代谢组学数据,并使用埃普沃思嗜睡量表(ESS)问卷对 EDS 进行了评估。我们对每种代谢物的连续ESS进行了线性回归,调整了人口统计学、生活方式和生理混杂因素,并按性别分组。随后,我们进行了高斯图形建模,并结合通路和富集分析,生成了 EDS 关联代谢组学概况的整体互动网络。研究结果我们在与 EDS 相关的主要模型中发现了属于类固醇、鞘磷脂和长链脂肪酸子通路的 7 种代谢物,并在男性特异性分析中发现了另外 3 种代谢物。已确定的代谢物尤其在类固醇激素的生物合成中发挥作用。解读我们的研究结果表明,EDS 代谢组学特征是类固醇激素生物合成途径中的内源性和膳食代谢物,其中一些途径因性别而异。我们的研究结果确定了解决 EDS 和相关睡眠障碍的原因或后果的潜在途径。资金支持 有关支持这项工作和所有相关研究的资金详情,请参阅致谢部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Climate Change and Malaria: A Call for Robust Analytics Female Infertility and Neurodevelopmental Disorders in Children: associations and evidence for familial confounding in Denmark Surveillance and control of neglected zoonotic diseases: methodological approaches to studying Rift Valley Fever, Crimean-Congo Haemorrhagic Fever and Brucellosis at the human-livestock-wildlife interface across diverse agricultural systems in Uganda Climate variation and serotype competition drive dengue outbreak dynamics in Singapore Leveraging an Online Dashboard to Inform on Infectious Disease Surveillance: A case Study of COVID-19 in Kenya.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1