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Fasting plasma metabolites reflecting meat consumption and their associations with incident type 2 diabetes in two Swedish cohorts
Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Division of Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, Gothenburg, Sweden; School of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an, China.
School of Pharmacy, University of Eastern Finland, Kuopio, Finland.
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2024 (English)In: American Journal of Clinical Nutrition, ISSN 0002-9165, E-ISSN 1938-3207, Vol. 119, no 5, p. 1280-1292Article in journal (Refereed) Published
Abstract [en]

Background: Consumption of processed red meat has been associated with increased risk of developing type 2 diabetes (T2D), but challenges in dietary assessment call for objective intake biomarkers.

Objectives: This study aimed to investigate metabolite biomarkers of meat intake and their associations with T2D risk. Methods: Fasting plasma samples were collected from a case–control study nested within Västerbotten Intervention Program (VIP) (214 females and 189 males) who developed T2D after a median follow-up of 7 years. Panels of biomarker candidates reflecting the consumption of total, processed, and unprocessed red meat and poultry were selected from the untargeted metabolomics data collected on the controls. Observed associations were then replicated in Swedish Mammography clinical subcohort in Uppsala (SMCC) (n = 4457 females). Replicated metabolites were assessed for potential association with T2D risk using multivariable conditional logistic regression in the discovery and Cox regression in the replication cohorts.

Results: In total, 15 metabolites were associated with ≥1 meat group in both cohorts. Acylcarnitines 8:1, 8:2, 10:3, reflecting higher processed meat intake [r > 0.22, false discovery rate (FDR) < 0.001 for VIP and r > 0.05; FDR < 0.001 for SMCC) were consistently associated with higher T2D risk in both data sets. Conversely, lysophosphatidylcholine 17:1 and phosphatidylcholine (PC) 15:0/18:2 were associated with lower processed meat intake (r < −0.12; FDR < 0.023, for VIP and r < −0.05; FDR < 0.001, for SMCC) and with lower T2D risk in both data sets, except for PC 15:0/18:2, which was significant only in the VIP cohort. All associations were attenuated after adjustment for BMI (kg/m2).

Conclusions: Consistent associations of biomarker candidates involved in lipid metabolism between higher processed red meat intake with higher T2D risk and between those reflecting lower intake with the lower risk may suggest a relationship between processed meat intake and higher T2D risk. However, attenuated associations after adjusting for BMI indicates that such a relationship may at least partly be mediated or confounded by BMI.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 119, no 5, p. 1280-1292
Keywords [en]
biomarkers, diabetes mellitus, metabolomics, processed meat, red meat
National Category
Nutrition and Dietetics
Identifiers
URN: urn:nbn:se:umu:diva-222665DOI: 10.1016/j.ajcnut.2024.02.012ISI: 001244524400006PubMedID: 38403167Scopus ID: 2-s2.0-85187992674OAI: oai:DiVA.org:umu-222665DiVA, id: diva2:1852778
Funder
Swedish Research Council Formas, 2019-02201EU, Horizon 2020, 727565EU, Horizon 2020, 874739EU, Horizon Europe, 101060247Swedish Research Council, 2019-12064Swedish Research Council, 2017-06100Olle Engkvists stiftelseAvailable from: 2024-04-19 Created: 2024-04-19 Last updated: 2025-03-19Bibliographically approved

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Johansson, Ingegerd

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