Long-term health risk of offspring born from assisted reproductive technologies.
Siwei ZhangQinyu LuoRenyu MengJing YanYanting WuHe-Feng HuangPublished in: Journal of assisted reproduction and genetics (2023)
Since the world's first in vitro fertilization baby was born in 1978, there have been more than 8 million children conceived through assisted reproductive technologies (ART) worldwide, and a significant proportion of them have reached puberty or young adulthood. Many studies have found that ART increases the risk of adverse perinatal outcomes, including preterm birth, low birth weight, small size for gestational age, perinatal mortality, and congenital anomalies. However, data regarding the long-term outcomes of ART offspring are limited. According to the developmental origins of health and disease theory, adverse environments during early life stages may induce adaptive changes and subsequently result in an increased risk of diseases in later life. Increasing evidence also suggests that ART offspring are predisposed to an increased risk of non-communicable diseases, such as malignancies, asthma, obesity, metabolic syndrome, diabetes, cardiovascular diseases, and neurodevelopmental and psychiatric disorders. In this review, we summarize the risks for long-term health in ART offspring, discuss the underlying mechanisms, including underlying parental infertility, epigenetic alterations, non-physiological hormone levels, and placental dysfunction, and propose potential strategies to optimize the management of ART and health care of parents and children to eliminate the associated risks. Further ongoing follow-up and research are warranted to determine the effects of ART on the long-term health of ART offspring in later life.
Keyphrases
- preterm birth
- low birth weight
- gestational age
- healthcare
- hiv infected
- metabolic syndrome
- antiretroviral therapy
- high fat diet
- public health
- cardiovascular disease
- early life
- preterm infants
- birth weight
- human health
- health risk
- mental health
- type diabetes
- insulin resistance
- health information
- risk assessment
- young adults
- depressive symptoms
- heavy metals
- dna methylation
- gene expression
- machine learning
- adipose tissue
- glycemic control
- drinking water
- social media
- weight loss
- cardiovascular events
- artificial intelligence
- body mass index
- cardiovascular risk factors
- high fat diet induced