In utero exposure to maternal diabetes impairs nephron progenitor differentiation.
Débora M CerqueiraShelby L HemkerAndrew J BodnarDaniella M OrtizFavour O OladipupoElina MukherjeeZhenwei GongCorynn AppoloniaRadhika MuzumdarSunder Sims-LucasJacqueline HoPublished in: American journal of physiology. Renal physiology (2019)
The incidence of diabetes mellitus has significantly increased among women of childbearing age, and it has been shown that prenatal exposure to maternal diabetes increases the risk of associated congenital anomalies of the kidney. Congenital anomalies of the kidney are among the leading causes of chronic kidney disease in children. To better understand the effect of maternal diabetes on kidney development, we analyzed wild-type offspring (DM_Exp) of diabetic Ins2+/C96Y mice (Akita mice). DM_Exp mice at postnatal day 34 have a reduction of ~20% in the total nephron number compared with controls, using the gold standard physical dissector/fractionator method. At the molecular level, the expression of the nephron progenitor markers sine oculis homeobox homolog 2 and Cited1 was increased in DM_Exp kidneys at postnatal day 2. Conversely, the number of early developing nephrons was diminished in DM_Exp kidneys. This was associated with decreased expression of the intracellular domain of Notch1 and the canonical Wnt target lymphoid enhancer binding factor 1. Together, these data suggest that the diabetic intrauterine environment impairs the differentiation of nephron progenitors into nephrons, possibly by perturbing the Notch and Wnt/β-catenin signaling pathways.
Keyphrases
- glycemic control
- type diabetes
- wild type
- cell proliferation
- pregnancy outcomes
- chronic kidney disease
- high fat diet induced
- cardiovascular disease
- poor prognosis
- binding protein
- birth weight
- stem cells
- insulin resistance
- weight loss
- pregnant women
- epithelial mesenchymal transition
- young adults
- end stage renal disease
- mental health
- big data
- wound healing
- long non coding rna
- reactive oxygen species
- risk factors
- metabolic syndrome
- pi k akt
- oxidative stress
- weight gain
- adipose tissue
- peritoneal dialysis
- endoplasmic reticulum stress
- induced apoptosis
- deep learning