Association of egg consumption, metabolic markers, and risk of cardiovascular diseases: A nested case-control study.

IF 6.4 1区 生物学 Q1 BIOLOGY eLife Pub Date : 2022-05-24 DOI:10.7554/eLife.72909
Lang Pan, Lu Chen, Jun Lv, Yuanjie Pang, Yu Guo, Pei Pei, Huaidong Du, Ling Yang, Iona Y Millwood, Robin G Walters, Yiping Chen, Weiwei Gong, Junshi Chen, Canqing Yu, Zhengming Chen, Liming Li
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引用次数: 2

Abstract

Background: Few studies have assessed the role of individual plasma cholesterol levels in the association between egg consumption and the risk of cardiovascular diseases. This research aims to simultaneously explore the associations of self-reported egg consumption with plasma metabolic markers and these markers with the risk of cardiovascular disease (CVD).

Methods: Totally 4778 participants (3401 CVD cases subdivided into subtypes and 1377 controls) aged 30-79 were selected based on the China Kadoorie Biobank. Targeted nuclear magnetic resonance was used to quantify 225 metabolites in baseline plasma samples. Linear regression was conducted to assess associations between self-reported egg consumption and metabolic markers, which were further compared with associations between metabolic markers and CVD risk.

Results: Egg consumption was associated with 24 out of 225 markers, including positive associations for apolipoprotein A1, acetate, mean HDL diameter, and lipid profiles of very large and large HDL, and inverse associations for total cholesterol and cholesterol esters in small VLDL. Among these 24 markers, 14 were associated with CVD risk. In general, the associations of egg consumption with metabolic markers and of these markers with CVD risk showed opposite patterns.

Conclusions: In the Chinese population, egg consumption is associated with several metabolic markers, which may partially explain the protective effect of moderate egg consumption on CVD.

Funding: This work was supported by the National Natural Science Foundation of China (81973125, 81941018, 91846303, 91843302). The CKB baseline survey and the first re-survey were supported by a grant from the Kadoorie Charitable Foundation in Hong Kong. The long-term follow-up is supported by grants (2016YFC0900500, 2016YFC0900501, 2016YFC0900504, 2016YFC1303904) from the National Key R&D Program of China, National Natural Science Foundation of China (81390540, 81390541, 81390544), and Chinese Ministry of Science and Technology (2011BAI09B01). The funders had no role in the study design, data collection, data analysis and interpretation, writing of the report, or the decision to submit the article for publication.

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鸡蛋消费、代谢标志物和心血管疾病风险的关联:一项巢式病例对照研究
背景:很少有研究评估了个体血浆胆固醇水平在鸡蛋消费与心血管疾病风险之间的关系中的作用。本研究旨在同时探讨自我报告的鸡蛋消费与血浆代谢标志物以及这些标志物与心血管疾病(CVD)风险的关系。方法:选取年龄在30 ~ 79岁之间的4778名受试者,其中3401例心血管疾病(分亚型),1377例为对照。靶向核磁共振用于定量基线血浆样品中的225种代谢物。通过线性回归来评估自我报告的鸡蛋摄入量与代谢标志物之间的关系,并进一步比较代谢标志物与心血管疾病风险之间的关系。结果:鸡蛋摄入与225项标志物中的24项相关,包括载脂蛋白A1、醋酸盐、平均高密度脂蛋白直径和超大和超大高密度脂蛋白的脂质谱呈正相关,与小VLDL的总胆固醇和胆固醇酯呈负相关。在这24项指标中,有14项与CVD风险相关。总的来说,鸡蛋消费与代谢标志物的关联以及这些标志物与CVD风险的关联呈现相反的模式。结论:在中国人群中,鸡蛋消费与几种代谢标志物相关,这可能部分解释了适度鸡蛋消费对心血管疾病的保护作用。基金资助:国家自然科学基金(81973125,81941018,91846303,91843302)。长江基建基线调查及首次重新调查由香港嘉道理慈善基金会拨款支持。长期随访项目由国家重点研发计划(2016YFC0900500, 2016YFC0900501, 2016YFC0900504, 2016YFC1303904)、国家自然科学基金(81390540,81390541,81390544)和中国科学技术部(2011BAI09B01)资助。资助者在研究设计、数据收集、数据分析和解释、撰写报告或决定是否提交文章发表方面没有任何作用。
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来源期刊
eLife
eLife BIOLOGY-
CiteScore
12.90
自引率
3.90%
发文量
3122
审稿时长
17 weeks
期刊介绍: eLife is a distinguished, not-for-profit, peer-reviewed open access scientific journal that specializes in the fields of biomedical and life sciences. eLife is known for its selective publication process, which includes a variety of article types such as: Research Articles: Detailed reports of original research findings. Short Reports: Concise presentations of significant findings that do not warrant a full-length research article. Tools and Resources: Descriptions of new tools, technologies, or resources that facilitate scientific research. Research Advances: Brief reports on significant scientific advancements that have immediate implications for the field. Scientific Correspondence: Short communications that comment on or provide additional information related to published articles. Review Articles: Comprehensive overviews of a specific topic or field within the life sciences.
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