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Potential Interplay between Dietary Saturated Fats and Genetic Variants of the NLRP3 Inflammasome to Modulate Insulin Resistance and Diabetes Risk: Insights from a Meta-Analysis of 19 005 Individuals

Murphy AM; Smith CE; Murphy LM; Follis JL; Tanaka T; Richardson K; Noordam R; Lemaitre RN; Kahonen M; Dupuis J; Voortman T; Marouli E; Mook-Kanamori DO; Raitakari OT; Hong J; Dehghan A; Dedoussis G; de Mutsert R; Lehtimaki T; Liu CT; Rivadeneira F; Deloukas P; Mikkila V; Meigs JB; Uitterlinden A; Lkram MA; Franco OH; Hughes M; O'Gaorajose P; Ordovas JM; Roche HM; Roche HM

Potential Interplay between Dietary Saturated Fats and Genetic Variants of the NLRP3 Inflammasome to Modulate Insulin Resistance and Diabetes Risk: Insights from a Meta-Analysis of 19 005 Individuals

Murphy AM
Smith CE
Murphy LM
Follis JL
Tanaka T
Richardson K
Noordam R
Lemaitre RN
Kahonen M
Dupuis J
Voortman T
Marouli E
Mook-Kanamori DO
Raitakari OT
Hong J
Dehghan A
Dedoussis G
de Mutsert R
Lehtimaki T
Liu CT
Rivadeneira F
Deloukas P
Mikkila V
Meigs JB
Uitterlinden A
Lkram MA
Franco OH
Hughes M
O'Gaorajose P
Ordovas JM
Roche HM
Roche HM
Katso/Avaa
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WILEY
doi:10.1002/mnfr.201900226
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042821118
Tiivistelmä
Scope Insulin resistance (IR) and inflammation are hallmarks of type 2 diabetes (T2D). The nod-like receptor pyrin domain containing-3 (NLRP3) inflammasome is a metabolic sensor activated by saturated fatty acids (SFA) initiating IL-1 beta inflammation and IR. Interactions between SFA intake and NLRP3-related genetic variants may alter T2D risk factors. Methods Meta-analyses of six Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (n = 19 005) tested interactions between SFA and NLRP3-related single-nucleotide polymorphisms (SNPs) and modulation of fasting insulin, fasting glucose, and homeostasis model assessment of insulin resistance. Results SFA interacted with rs12143966, wherein each 1% increase in SFA intake increased insulin by 0.0063 IU mL(-1) (SE +/- 0.002, p = 0.001) per each major (G) allele copy. rs4925663, interacted with SFA (beta +/- SE = -0.0058 +/- 0.002, p = 0.004) to increase insulin by 0.0058 IU mL(-1), per additional copy of the major (C) allele. Both associations are close to the significance threshold (p < 0.0001). rs4925663 causes a missense mutation affecting NLRP3 expression. Conclusion Two NLRP3-related SNPs showed potential interaction with SFA to modulate fasting insulin. Greater dietary SFA intake accentuates T2D risk, which, subject to functional validation, may be further elaborated depending on NLRP3-related genetic variants.
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