Plasma and urinary concentrations of arachidonic acid-derived eicosanoids are associated with diabetic kidney disease

Mota-Zamorano, Sonia; Robles, Nicolás Roberto; López‐Gómez, Juan M.; Cancho, B.; González, Luz María; García-Pino, Guadalupe; Navarro-Pérez, María Luisa; Gervasini, Guillermo

doi:10.17179/excli2021-3408

Cited by 2 publications

(1 citation statement)

References 39 publications

(61 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…EETs are epoxygenase derivatives of arachidonic acid and closely related to pancreatic β-cell function, insulin resistance, glucose homeostasis, and other pathophysiological processes of glucose metabolism. Preclinical studies have consistently shown a protective role of EETs in the aetiology and progression of various metabolic diseases, such as diabetes and its complications [ 46 ]. Back in 1983, EETs were shown to stimulate insulin secretion in isolated rat islets and were relatively regioselective for EET formation [ 47 ], involving three critical genes ( CYP2C8 , CYP2C9 , and CYP2J2 ).…”

Section: Discussionmentioning

confidence: 99%

Genetic variants in epoxyeicosatrienoic acid processing and degradation pathways are associated with gestational diabetes mellitus

Lai

Yan

et al. 2023

Nutr J

View full text Add to dashboard Cite

Aim To explore the genetic effects of CYP2C8, CYP2C9, CYP2J2, and EPHX2, the key genes involved in epoxyeicosatrienoic acid processing and degradation pathways in gestational diabetes mellitus (GDM) and metabolic traits in Chinese pregnant women. Methods A total of 2548 unrelated pregnant women were included, of which 938 had GDM and 1610 were considered as controls. Common variants were genotyped using the Infinium Asian Screening Array. Association studies of single nucleotide polymorphisms (SNPs) with GDM and related traits were performed using logistic regression and multivariable linear regression analyses. A genetic risk score (GRS) model based on 12 independent target SNPs associated with GDM was constructed. Logistic regression was used to estimate odds ratios and 95% confidence intervals, adjusting for potential confounders including age, pre-pregnancy body mass index, history of polycystic ovarian syndrome, history of GDM, and family history of diabetes, with GRS entered both as a continuous variable and categorized groups. The relationship between GRS and quantitative traits was also evaluated. Results The 12 SNPs in CYP2C8, CYP2C9, CYP2J2, and EPHX2 were significantly associated with GDM after adjusting for covariates (all P < 0.05). The GRS generated from these SNPs significantly correlated with GDM. Furthermore, a significant interaction between CYP2J2 and CYP2C8 in GDM (PInteraction = 0.014, ORInteraction= 0.61, 95%CI 0.41–0.90) was observed. Conclusion We found significant associations between GDM susceptibility and 12 SNPs of the four genes involved in epoxyeicosatrienoic acid processing and degradation pathways in a Chinese population. Subjects with a higher GRS showed higher GDM susceptibility with higher fasting plasma glucose and area under the curve of glucose and poorer β-cell function.

show abstract

Section: Discussionmentioning

confidence: 99%