| Title: | Metabolomic signatures reveal an association between healthy dietary patterns and brain aging |
| Journal: | The journal of nutrition health & aging |
| Published: | 19 Feb 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41719791/ |
| DOI: | https://doi.org/10.1016/j.jnha.2026.100806 |
| URL: | http://dx.doi.org/10.1016/j.jnha.2026.100806 |
Publication 17704
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Abstract
OBJECTIVES: The optimal dietary pattern of brain age and related diseases remains unclear, and the relationship between dietary metabolomic signature and these conditions is still poorly understood.</p>
DESIGN, SETTING, AND PARTICIPANTS: This cohort study included 13,691 participants from the UK Biobank (53.67% female, mean age 54.9 ± 7.5 years), we investigated the relationship between five healthy dietary patterns and brain age gap (BAG). Metabolomic signatures were constructed using a LASSO model, and multivariable linear regression was applied to examine the relationship between metabolomic signatures and brain age.</p>
RESULTS: Higher AHEI-2010 and DASH scores were associated with reduced BAG. Specifically, higher DASH scores reduced BAG in obese populations. Metabolomic signatures accounted for 30.43% and 35.47% of the associations between dietary patterns and BAG, respectively, and were themselves significantly correlated with BAG.</p>
CONCLUSION: AHEI-2010/DASH diets and plasma metabolites are associated with brain aging, offering a metabolomic basis for personalized dietary interventions.</p>
10 Authors
- Lingyuan Hu
- Zhuotong Wang
- Aomiao Chen
- Geningyue Wang
- Xinran Xie
- Qiuyu He
- Yu Wang
- Huali Shi
- Zongji Zheng
- Yijie Jia
1 Application
| Application ID | Title |
|---|---|
| 262612 | Causal studies of multiomics, genetics, lifestyle, and environmental factors on the progression and mortality of major common metabolic diseases |
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