Increased birth weight is associated with altered gene expression in neonatal foreskin
L J Reynolds1, R I Pollack2, R J Charnigo3
11Department of Pharmacology and Nutritional Sciences,University of Kentucky College of Medicine,Lexington,KY,USA.
Insights
Elevated birth weight in infants is associated with altered gene expression related to obesity and inflammation. These findings suggest potential early markers for fetal programming of metabolic health in newborns.
Area of Science:
- Pediatric Health
- Genetics and Genomics
- Metabolic Disorders
Background:
- Elevated birth weight is a known risk factor for later-life glucose intolerance and obesity.
- Previous research has not investigated the link between infant birth weight and specific gene expression markers in infant tissues.
- Understanding fetal programming of obesity is crucial for early intervention strategies.
Purpose of the Study:
- To examine the association between infant birth weight and gene expression patterns in neonatal foreskin tissue.
- To identify specific genes involved in obesity and inflammation that are differentially expressed in infants with higher birth weights.
- To explore the role of these gene expression changes in the fetal programming of obesity.
Main Methods:
- Foreskin samples were collected from newborns post-circumcision.
- Gene expression analysis was performed comparing infants in the highest 15% birth weight group with the remaining cohort.
- Multivariate linear regression models were used to assess the relationship between birth weight group and gene expression levels, adjusting for relevant covariates.
Main Results:
- Ten genes, including Glucose transporter type 4 (GLUT4), insulin receptor substrate 2 (IRS2), and leptin receptor (LEPR), showed significant differential expression between high and average birth weight groups.
- Eight of these ten genes exhibited expression level differences exceeding one standard deviation and were explained by multivariate modeling between 25-50% of variation.
- Upregulated genes were associated with glycemic control and appetite regulation, while downregulated genes were linked to cellular processes and antioxidant activity.
Conclusions:
- Infant birth weight is associated with altered gene expression in neonatal tissue, indicating potential early molecular signatures of fetal programming.
- Genes related to glycemic control, appetite, obesity, and inflammation are affected in neonates with elevated birth weight.
- These identified gene expression markers may serve as important indicators for fetal programming in macrosomic infants, paving the way for future research and interventions.
Abstract:
Elevated birth weight is linked to glucose intolerance and obesity health-related complications later in life. No studies have examined if infant birth weight is associated with gene expression markers of obesity and inflammation in a tissue that comes directly from the infant following birth. We evaluated the association between birth weight and gene expression on fetal programming of obesity. Foreskin samples were collected following circumcision, and gene expression analyzed comparing the 15% greatest birth weight infants (n=7) v. the remainder of the cohort (n=40). Multivariate linear regression models were fit to relate expression levels on differentially expressed genes to birth weight group with adjustment for variables selected from a list of maternal and infant characteristics. Glucose transporter type 4 (GLUT4), insulin receptor substrate 2 (IRS2), leptin receptor (LEPR), lipoprotein lipase (LPL), low-density lipoprotein receptor-related protein 1 (LRP1), matrix metalloproteinase 2 (MMP2), plasminogen activator inhibitor-1 (PAI-1) and transcription factor 7-like 2 (TCF7L2) were significantly upregulated and histone deacetylase 1 (HDAC1) and thioredoxin (TXN) downregulated in the larger birth weight neonates v.
Controls:
Multivariate modeling revealed that the estimated adjusted birth weight group difference exceeded one standard deviation of the expression level for eight of the 10 genes. Between 25 and 50% of variation in expression level was explained by multivariate modeling for eight of the 10 genes. Gene expression related to glycemic control, appetite/energy balance, obesity and inflammation were altered in tissue from babies with elevated birth weight, and these genes may provide important information regarding fetal programming in macrosomic babies.
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