A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Fasting plasma metabolites reflecting meat consumption and their associations with incident type 2 diabetes in two Swedish cohorts
Tekijät: Noerman Stefania, Johansson Anna, Shi Lin, Lehtonen Marko, Hanhineva Kati, Johansson Ingegerd, Brunius Carl, Landberg Rikard
Kustantaja: Elsevier Inc.
Julkaisuvuosi: 2024
Journal: American Journal of Clinical Nutrition
Tietokannassa oleva lehden nimi: The American journal of clinical nutrition
Lehden akronyymi: Am J Clin Nutr
Vuosikerta: 119
Numero: 5
Aloitussivu: 1280
Lopetussivu: 1292
ISSN: 0002-9165
eISSN: 1938-3207
DOI: https://doi.org/10.1016/j.ajcnut.2024.02.012
Verkko-osoite: https://doi.org/10.1016/j.ajcnut.2024.02.012
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/387700210
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.
Ladattava julkaisu This is an electronic reprint of the original article. |