Risk of Fat Mass- and Obesity-Associated Gene-Dependent Obesogenic Programming by Formula Feeding Compared to Breastfeeding.
Bodo C MelnikRalf WeiskirchenWolfgang StremmelSwen Malte JohnGerd SchmitzPublished in: Nutrients (2024)
It is the purpose of this review to compare differences in postnatal epigenetic programming at the level of DNA and RNA methylation and later obesity risk between infants receiving artificial formula feeding (FF) in contrast to natural breastfeeding (BF). FF bears the risk of aberrant epigenetic programming at the level of DNA methylation and enhances the expression of the RNA demethylase fat mass- and obesity-associated gene ( FTO ), pointing to further deviations in the RNA methylome. Based on a literature search through Web of Science, Google Scholar, and PubMed databases concerning the dietary and epigenetic factors influencing FTO gene and FTO protein expression and FTO activity, FTO's impact on postnatal adipogenic programming was investigated. Accumulated translational evidence underscores that total protein intake as well as tryptophan, kynurenine, branched-chain amino acids, milk exosomal miRNAs, NADP, and NADPH are crucial regulators modifying FTO gene expression and FTO activity. Increased FTO-mTORC1-S6K1 signaling may epigenetically suppress the WNT/β-catenin pathway, enhancing adipocyte precursor cell proliferation and adipogenesis. Formula-induced FTO-dependent alterations of the N6-methyladenosine (m6A) RNA methylome may represent novel unfavorable molecular events in the postnatal development of adipogenesis and obesity, necessitating further investigations. BF provides physiological epigenetic DNA and RNA regulation, a compelling reason to rely on BF.
Keyphrases
- dna methylation
- gene expression
- genome wide
- insulin resistance
- high fat diet induced
- metabolic syndrome
- preterm infants
- cell proliferation
- weight loss
- weight gain
- adipose tissue
- type diabetes
- nucleic acid
- copy number
- single molecule
- stem cells
- magnetic resonance imaging
- amino acid
- poor prognosis
- circulating tumor
- computed tomography
- machine learning
- binding protein
- circulating tumor cells
- atomic force microscopy
- long noncoding rna