| Title |
Metabolites of milk intake: a metabolomic approach in UK twins with findings replicated in two European cohorts
|
|---|---|
| Published in |
European Journal of Nutrition, July 2016
|
| DOI | 10.1007/s00394-016-1278-x |
| Pubmed ID | |
| Authors |
Tess Pallister, Toomas Haller, Barbara Thorand, Elisabeth Altmaier, Aedin Cassidy, Tiphaine Martin, Amy Jennings, Robert P. Mohney, Christian Gieger, Alexander MacGregor, Gabi Kastenmüller, Andres Metspalu, Tim D. Spector, Cristina Menni |
| Abstract |
Milk provides a significant source of calcium, protein, vitamins and other minerals to Western populations throughout life. Due to its widespread use, the metabolic and health impact of milk consumption warrants further investigation and biomarkers would aid epidemiological studies. Milk intake assessed by a validated food frequency questionnaire was analyzed against fasting blood metabolomic profiles from two metabolomic platforms in females from the TwinsUK cohort (n = 3559). The top metabolites were then replicated in two independent populations (EGCUT, n = 1109 and KORA, n = 1593), and the results from all cohorts were meta-analyzed. Four metabolites were significantly associated with milk intake in the TwinsUK cohort after adjustment for multiple testing (P < 8.08 × 10(-5)) and covariates (BMI, age, batch effects, family relatedness and dietary covariates) and replicated in the independent cohorts. Among the metabolites identified, the carnitine metabolite trimethyl-N-aminovalerate (β = 0.012, SE = 0.002, P = 2.98 × 10(-12)) and the nucleotide uridine (β = 0.004, SE = 0.001, P = 9.86 × 10(-6)) were the strongest novel predictive biomarkers from the non-targeted platform. Notably, the association between trimethyl-N-aminovalerate and milk intake was significant in a group of MZ twins discordant for milk intake (β = 0.050, SE = 0.015, P = 7.53 × 10(-4)) and validated in the urine of 236 UK twins (β = 0.091, SE = 0.032, P = 0.004). Two metabolites from the targeted platform, hydroxysphingomyelin C14:1 (β = 0.034, SE = 0.005, P = 9.75 × 10(-14)) and diacylphosphatidylcholine C28:1 (β = 0.034, SE = 0.004, P = 4.53 × 10(-16)), were also replicated. We identified and replicated in independent populations four novel biomarkers of milk intake: trimethyl-N-aminovalerate, uridine, hydroxysphingomyelin C14:1 and diacylphosphatidylcholine C28:1. Together, these metabolites have potential to objectively examine and refine milk-disease associations. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 20% |
| Student > Ph. D. Student | 14 | 18% |
| Student > Bachelor | 8 | 11% |
| Student > Master | 8 | 11% |
| Student > Doctoral Student | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 18 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 17% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Agricultural and Biological Sciences | 8 | 11% |
| Immunology and Microbiology | 4 | 5% |
| Chemistry | 4 | 5% |
| Other | 15 | 20% |
| Unknown | 23 | 30% |
Attention Score in Context
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#17,811,816
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Outputs from European Journal of Nutrition
#1,859
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#267,537
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Outputs of similar age from European Journal of Nutrition
#40
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