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Updated: Nov 23, 2025

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Developmental and Early Life Origins of Cardiometabolic Risk Factors: Novel Findings and Implications
Empar Lurbe1,2, Julie Ingelfinger3
1From the Pediatric Department, Consorcio Hospital General, University of Valencia (E.L.).
Insights
Early life factors like birth weight and childhood growth impact adult cardiometabolic disease risk. Understanding these programming effects is key for early prevention strategies.
Area of Science:
- Developmental biology
- Cardiovascular health
- Metabolic disease research
Background:
- Birth weight and childhood growth trajectories are linked to adult cardiometabolic disease.
- Extreme birth weights and postnatal growth influence early cardiometabolic risk factors and vascular imprinting.
Purpose of the Study:
- To critically review data supporting the concept of developmental programming and its implications for cardiometabolic health.
- To highlight the role of early life factors in adult disease development.
Main Methods:
- Review of existing literature on birth weight, growth, and cardiometabolic disease.
- Integration of data from epigenetics, proteomics, metabolomics, and microbiota studies.
- Analysis of mechanisms and biomarker development for early life interventions.
Main Results:
- Evidence supports the concept of developmental programming, where early life conditions influence long-term health.
- Epigenetic, proteomic, metabolomic, and microbiota data provide insights into underlying mechanisms.
- Biomarkers are emerging to aid in identifying at-risk individuals.
Conclusions:
- Robust data necessitate new initiatives focused on early life interventions.
- Early life prevention strategies hold significant potential to reduce cardiometabolic disease incidence and impact.
- Interventions targeting early life programming can yield substantial personal, economic, and social benefits.
Abstract:
The intent of this review is to critically consider the data that support the concept of programming and its implications. Birth weight and growth trajectories during childhood are associated with cardiometabolic disease in adult life. Both extremes, low and high birth weight coupled with postnatal growth increase the early presence of cardiometabolic risk factors and vascular imprinting, crucial elements of this framework. Data coming from epigenetics, proteomics, metabolomics, and microbiota added relevant information and contribute to better understanding of mechanisms as well as development of biomarkers helping to move forward to take actions. Research has reached a stage in which sufficiently robust data calls for new initiatives focused on early life. Prevention starting early in life is likely to have a very large impact on reducing disease incidence and its associated effects at the personal, economic, and social levels.
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