ArticleeLife2022
Association of egg consumption, metabolic markers, and risk of cardiovascular diseases: A nested case-control study.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Association between dietary patterns and obesity-related metabolic phenotypes in Chinese middle-aged and older adults: a cross-sectional study.Scientific reports · 2025Article
- Optimisation tools for meeting nutrient requirements of Indian children and adults at optimal cost.Public health nutrition · 2025Article
- The Interplay of Diet, Genome, Metabolome, and Gut Microbiome in Cardiovascular Disease: A Narrative Review.Current medicinal chemistry · 2025Review
- Association between egg consumption and major and minor ischemia changes on electrocardiogram: A population-based study.ARYA atherosclerosis · 2025Article
- Associations between Multiple Food Consumption Frequencies and the Incidence of Cardiovascular Disease in High Cardiac Risk Subjects.Reviews in cardiovascular medicine · 2024Article
- Influencing Factors on Cardiovascular Health in China.Journal of geriatric cardiology : JGC · 2024Article
- Eggs and Cardiovascular Disease Risk: An Update of Recent Evidence.Current atherosclerosis reports · 2023Review
- The association between egg consumption and metabolic health status in overweight and obese adolescents.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
17 authors at 6 institutions in 2 countries.
Funding
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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Registered trials
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