Metabolic Phenotypes of Hypoxic-Ischemic Encephalopathy with Normal vs. Pathologic Magnetic Resonance Imaging Outcomes.
José David Piñeiro-RamosAntonio Núñez-RamiroRoberto Llorens-SalvadorAnna Parra-LlorcaÁngel Sánchez-IllanaGuillermo QuintasNuria Boronat-GonzálezJuan Martínez-RodillaJulia KuligowskiMaximo Ventonull The Hypotop Study GroupPublished in: Metabolites (2020)
Hypoxic-Ischemic Encephalopathy (HIE) is one of the most relevant contributors to neurological disability in term infants. We hypothesized that clinical outcomes of newborns with (HIE) can be associated with changes at plasma metabolic level enabling the detection of brain injury. Plasma samples of a cohort of 55 asphyxiated infants who evolved to moderate/severe HIE were collected between birth and completion of therapeutic hypothermia (TH). Samples were analyzed employing a quantitative gas chromatography-mass spectrometry method for the determination of lactate and pyruvate and an untargeted liquid chromatography-time-of-flight mass spectrometry method for metabolic fingerprinting. Brain injury was assessed employing magnetic resonance imaging (MRI). A critical assessment of the usefulness of lactate, pyruvate, and pyruvate/lactate for outcome prediction was carried out. Besides, metabolic fingerprinting identified a dynamic perturbation of eleven metabolic pathways, including amino acid and purine metabolism, and the steroid hormone biosynthesis, in newborns with pathologic MRI outcomes. Although data suggest the usefulness of lactate and pyruvate monitoring during 72 h for discerning outcomes, only the steroid hormone biosynthesis pathway was significantly altered in early plasma samples (i.e., before the initiation of TH). This study highlights pathways that might potentially be targeted for biomarker discovery or adjuvant therapies to be combined with TH.
Keyphrases
- brain injury
- magnetic resonance imaging
- subarachnoid hemorrhage
- gas chromatography mass spectrometry
- contrast enhanced
- cerebral ischemia
- early onset
- liquid chromatography
- gestational age
- mass spectrometry
- pregnant women
- computed tomography
- amino acid
- multiple sclerosis
- cardiac arrest
- magnetic resonance
- radiation therapy
- small molecule
- machine learning
- squamous cell carcinoma
- insulin resistance
- preterm birth
- cord blood
- cancer therapy
- glycemic control
- molecularly imprinted
- high throughput
- deep learning
- artificial intelligence
- pregnancy outcomes
- sensitive detection