Metabolite Biomarkers for Early Ischemic Hypoxic Encephalopathy: An Experimental Study Using the NeoBase 2 MSMS Kit in a Rat Model DOI Open Access

Yulia Shevtsova,

Natalia Starodubtseva, Alisa Tokareva

et al.

Published: Dec. 5, 2023

Hypoxic-ischemic encephalopathy (HIE) is one of the most common causes childhood disability. Hypothermic therapy currently only approved neuroprotective approach. However, early diagnosis HIE can be challenging, especially in first hours after birth when decision to treat with hypothermic critical. Differentiating from other neonatal conditions, such as sepsis, further complicates diagnosis. This study investigated utility a metabolomic-based approach using NeoBase 2 MSMS kit diagnose dry blood stains Rice-Vannucci model rats. We evaluated diagnostic accuracy this method between 3 and 6 onset HIE, including context systemic inflammation concomitant therapy. Discriminant analysis revealed several metabolite patterns associated HIE. A logistic regression glycine levels achieved high areas under curve (AUC) 0.94 at 0.96 In addition, orthogonal partial least squares discriminant analysis, which included five metabolites, 100% sensitivity 80% specificity within These results highlight significant potential for could improve patient management outcomes serious illness.

Language: Английский

Metabolite Biomarkers for Early Ischemic Hypoxic Encephalopathy: An Experimental Study Using the NeoBase 2 MSMS Kit in a Rat Model DOI Open Access

Yulia Shevtsova,

Natalia Starodubtseva, Alisa Tokareva

et al.

Published: Dec. 5, 2023

Hypoxic-ischemic encephalopathy (HIE) is one of the most common causes childhood disability. Hypothermic therapy currently only approved neuroprotective approach. However, early diagnosis HIE can be challenging, especially in first hours after birth when decision to treat with hypothermic critical. Differentiating from other neonatal conditions, such as sepsis, further complicates diagnosis. This study investigated utility a metabolomic-based approach using NeoBase 2 MSMS kit diagnose dry blood stains Rice-Vannucci model rats. We evaluated diagnostic accuracy this method between 3 and 6 onset HIE, including context systemic inflammation concomitant therapy. Discriminant analysis revealed several metabolite patterns associated HIE. A logistic regression glycine levels achieved high areas under curve (AUC) 0.94 at 0.96 In addition, orthogonal partial least squares discriminant analysis, which included five metabolites, 100% sensitivity 80% specificity within These results highlight significant potential for could improve patient management outcomes serious illness.

Language: Английский

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