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The Molecular Apgar Score: A Key to Unlocking Evolutionary Principles.
John S Torday1, Heber C Nielsen2
1Pediatrics, Harbor - UCLA Medical Center , Torrance, CA , USA.
Frontiers in Pediatrics
|April 5, 2017
Summary
The Apgar Score evaluates newborn transition at birth. A "Molecular Apgar" concept links this score to evolutionary adaptations, revealing genetic underpinnings of neonatal survival.
Area of Science:
- Neonatal Physiology
- Evolutionary Biology
- Genetics
Background:
- The Apgar Score, established in 1953, systematically assesses newborn infants' transition from the intrauterine to the extrauterine environment.
- It evaluates five key parameters: Appearance, Pulse, Grimace, Activity, and Respiration, at 1 and 5 minutes after birth.
- This score reflects critical physiological adaptations, including oxygenation, cardiovascular function, neurological integration, motor capacity, and respiratory drive.
Purpose of the Study:
- To introduce the concept of a
Main Methods:
- The study conceptually links the Apgar Score's physiological parameters to fundamental evolutionary events during the vertebrate water-to-land transition.
- It identifies specific gene duplications and regulatory networks (e.g., parathyroid hormone-related protein receptor, β-adrenergic receptor, glucocorticoid receptor) crucial for terrestrial adaptation.
- These molecular elements are proposed as targets for a "Molecular Apgar" evaluation.
Main Results:
- The Apgar Score reflects evolutionary adaptations in respiration, locomotion, and metabolism necessary for transitioning from aquatic to terrestrial life.
- Key genetic factors involved in terrestrial adaptation are foundational to the physiological processes assessed by the Apgar Score.
- A "Molecular Apgar" evaluation can assess evolutionary events predicting successful neonatal transition and survival.
Conclusions:
- The Apgar Score's components are rooted in ancient evolutionary adaptations for life on land.
- A "Molecular Apgar" framework offers a novel perspective on neonatal physiology by connecting it to evolutionary genetics.
- This approach may provide insights into predicting neonatal adaptation and survival through an evolutionary lens.