Blood metabolome shows signatures of metabolic dysregulation in obese and overweight subjects that can be predicted by machine learning applied to heart rate variability

Blood metabolome shows signatures of metabolic dysregulation in obese and overweight subjects that can be predicted by machine learning applied to heart rate variability

IntroductionObesity and overweight are linked to metabolic disturbances, which contribute to the onset of diseases like type 2 diabetes (T2D) and cardiovascular disorders. Metabolic health is also closely linked to autonomic function, as measured by heart rate variability (HRV), making HRV a potenti...

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Main Authors: Andrea Di Credico, David Perpetuini, Pascal Izzicupo, Giulia Gaggi, Claudia Rossi, Arcangelo Merla, Barbara Ghinassi, Angela Di Baldassarre, Ines Bucci
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Molecular Biosciences
Subjects:
obesity
metabolic disturbances
heart rate variability
amino acids
acylcarnitine
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2025.1561987/full
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https://www.frontiersin.org/articles/10.3389/fmolb.2025.1561987/full

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