| Title: | Proteome-wide interaction study of fatty acids and mortality in the UK Biobank. |
| Journal: | British Journal Of Nutrition |
| Published: | 10 Aug 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/42572017/ |
| DOI: | https://doi.org/10.1017/s0007114526108204 |
| URL: | ~Ehttps://www.cambridge.org/core/services/aop-cambridge-core/content/view/C21F48371277671F27FD2247B661DB4D/S0007114526108204a.pdf/div-class-title-proteome-wide-interaction-study-of-fatty-acids-and-mortality-in-the-uk-biobank-div.pdf~ |
Publication 21193
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Abstract
The heterogeneity in associations between circulating fatty acids (FA) and mortality remained underexplored. Proteomics can profile the human physiological status. This study aimed to estimate interactions between FA and proteins in relation to mortality. We randomly divided 30,190 UK Biobank participants into train and test datasets. Multivariable Cox regression was utilized to assess the associations between FA and all-cause mortality and to explore proteome-wide interactions of FA in relation to mortality. Subgroup analyses were conducted to examine heterogeneity across varied protein levels. We also explored interactions between proteins and FA in relation to cause-specific mortality. We documented 3,345 deaths during 13.9 years of follow-up. MUFA-pct, Non-LA Omega-6 pct, Omega-6/Omega-3 ratio and SFA-pct were positively associated with all-cause mortality, while PUFA-pct, DHA-pct, LA-pct, and Omega-3-pct were negatively associated. We identified several robust interactions of proteins with MUFA-pct (n = 3), Omega-3-pct (n = 4), and Omega-6/Omega-3 ratio (n = 2). In subgroup analyses, individuals with high-level TNFRSF1B, MMP10, and CRHBP had higher all-cause mortality risks associated with MUFA-pct, while protective associations between Omega-3-pct and all-cause mortality were stronger among individuals with high-level TSPAN8, PLAU, ITGA5, and CEACAM1. Moreover, participants with high-level TSPAN8 and PLAU had higher risks of all-cause mortality with Omega-6/Omega-3 ratio. For cause-specific mortality, interaction and subgroup results were largely consistent with those of all-cause mortality. Our findings can provide new insights into heterogeneity in FA-mortality associations and highlight potential protein targets for personalized interventions across individuals with different physiological status.</p>
10 Authors
- Ziyan Qiao
- Xinru Wang
- Chengzhe Tao
- Sijing Liao
- Jiawei Lu
- Yiting Yuan
- Qiaoqiao Xu
- Yun Fan
- Xu Wang
- Chuncheng Lu
1 Application
| Application ID | Title |
|---|---|
| 70522 | Application of genetic, environment and lifestyle data to understand causal risk factors of complex metabolic alterations and develop novel prediction model |
Enabling scientific discoveries that improve human health