Transient PAX8 Expression in Islets During Pregnancy Correlates With β-Cell Survival, Revealing a Novel Candidate Gene in Gestational Diabetes Mellitus.
Alejandro Martín-MontalvoLivia López-NoriegaCarmen Jiménez-MorenoAmanda HerranzPetra I LorenzoNadia Cobo-VuilleumierAlejandra TamayoCristian González-GuerreroJonathan S W R HofsteedeFanny LebretonDomenico BoscoMiguel García ToscanoLucrecia HerranzJoao AnselmoJosé Carlos MorenoBenoit R GauthierPublished in: Diabetes (2018)
Transient Pax8 expression was reported in mouse islets during gestation, whereas a genome-wide linkage and admixture mapping study highlighted PAX8 as a candidate gene for diabetes mellitus (DM). We sought the significance of PAX8 expression in mouse and human islet biology. PAX8 was induced in gestating mouse islets and in human islets treated with recombinant prolactin. Global gene expression profiling of human and mouse islets overexpressing the corresponding species-specific PAX8 revealed the modulation of distinct genetic pathways that converge on cell survival. Accordingly, apoptosis was reduced in PAX8-overexpressing islets. These findings support that PAX8 could be a candidate gene for the study of gestational DM (GDM). PAX8 was genotyped in patients with GDM and gestational thyroid dysfunction (GTD), a pathology commonly found in patients with mutations on PAX8 A novel missense PAX8 mutation (p.T356M, c.1067C>T) was identified in a female diagnosed with GDM and GTD as well as in her father with type 2 DM but was absent in control patients. The p.T356M variant did not alter protein stability or cellular localization, whereas its transactivation activity was hindered. In parallel, a retrospective clinical analysis uncovered that a pregnant female harboring a second PAX8 mutation (p.P25R, c.74C>G) previously reported to cause congenital hypothyroidism also developed GDM. These data indicate that increased expression of PAX8 affects islet viability and that PAX8 could be considered as a candidate gene for the study of GDM.
Keyphrases
- genome wide
- poor prognosis
- endothelial cells
- dna methylation
- pregnant women
- oxidative stress
- binding protein
- weight gain
- gene expression
- high resolution
- end stage renal disease
- genome wide identification
- machine learning
- chronic kidney disease
- type diabetes
- induced pluripotent stem cells
- metabolic syndrome
- newly diagnosed
- transcription factor
- high glucose
- cell proliferation
- mass spectrometry
- endoplasmic reticulum stress
- peritoneal dialysis
- cell death
- brain injury
- small molecule
- insulin resistance
- deep learning
- preterm birth
- signaling pathway
- cerebral ischemia
- pi k akt
- gestational age
- cell free
- pregnancy outcomes