Research progress regarding maternal obesity, MAFLD, and their impact on maternal and fetal/offspring health is expected to improve the relevant diagnostic methods and lead to novel treatments. Thus, routine practice could apply more personalized management strategies, incorporating individualized algorithms with genetic and/or multi-biomarker profiling to guide prevention, early diagnosis, and treatment.
Keyphrases
- pregnancy outcomes
- birth weight
- weight gain
- insulin resistance
- metabolic syndrome
- healthcare
- weight loss
- type diabetes
- primary care
- high fat diet induced
- machine learning
- public health
- high fat diet
- oxidative stress
- body mass index
- adipose tissue
- single cell
- preterm birth
- health information
- skeletal muscle
- dna methylation
- quality improvement
- gene expression
- climate change
- genome wide analysis