The Impact of Maternal Obesity on Adipose Progenitor Cells.
Simon LecoutreSalwan MaqdasyMélanie LambertChristophe BretonPublished in: Biomedicines (2023)
The concept of Developmental Origin of Health and Disease (DOHaD) postulates that adult-onset metabolic disorders may originate from suboptimal conditions during critical embryonic and fetal programming windows. In particular, nutritional disturbance during key developmental stages may program the set point of adiposity and its associated metabolic diseases later in life. Numerous studies in mammals have reported that maternal obesity and the resulting accelerated growth in neonates may affect adipocyte development, resulting in persistent alterations in adipose tissue plasticity (i.e., adipocyte proliferation and storage) and adipocyte function (i.e., insulin resistance, impaired adipokine secretion, reduced thermogenesis, and higher inflammation) in a sex- and depot-specific manner. Over recent years, adipose progenitor cells (APCs) have been shown to play a crucial role in adipose tissue plasticity, essential for its development, maintenance, and expansion. In this review, we aim to provide insights into the developmental timeline of lineage commitment and differentiation of APCs and their role in predisposing individuals to obesity and metabolic diseases. We present data supporting the possible implication of dysregulated APCs and aberrant perinatal adipogenesis through epigenetic mechanisms as a primary mechanism responsible for long-lasting adipose tissue dysfunction in offspring born to obese mothers.
Keyphrases
- insulin resistance
- adipose tissue
- high fat diet
- high fat diet induced
- polycystic ovary syndrome
- metabolic syndrome
- birth weight
- oxidative stress
- healthcare
- gestational age
- mental health
- signaling pathway
- type diabetes
- weight loss
- pregnant women
- gene expression
- electronic health record
- physical activity
- single cell
- pregnancy outcomes
- quality improvement
- health information
- preterm infants
- glycemic control
- cell fate
- machine learning
- deep learning
- artificial intelligence
- preterm birth