Background: This study aims to identify a metabolomic signature that facilitates the classi- fication of syncope and the categorization of the unexplained syncope (US) to aid in its management. Methods: We compared a control group (CTRL, n = 10) with a transient loss of consciousness (TLC) group divided into the OH group (n = 23) for orthostatic syncope, the NMS group (n = 26) for neuromediated syncope, the CS group (n = 9) for cardiological syncope, and the US group (n = 27) for US defined as syncope without a precise categorization after first- and second-level diagnostic approaches. Results: The CTRL and the TLC groups significantly differed in metabolic profile. A new logistic regression model has been developed to predict how the US will be clustered. Using differences in lysophosphatidylcholine with 22 carbon atom (C22:0-LPC) levels, 96% of the US be- longs to the NMS and 4% to the CS subgroup. Differences in glutamine and lysine (GLN/LYS) levels clustered 95% of the US in the NMS and 5% in the CS subgroup. Conclusions: We hypoth- esize a possible role of C22:0 LPC and GLN/LYS in re-classifying US and differentiating it from cardiological syncope.

Longo, S., Cicalini, I., Pieragostino, D., DE LAURENZI, V., Legramante, J.m., Menghini, R., et al. (2024). A metabolomic approach to unexplained syncope. BIOMEDICINES, 12(11) [10.3390/biomedicines12112641].

A metabolomic approach to unexplained syncope

Susanna Longo;Vincenzo De Laurenzi;Jacopo M. Legramante;Rossella Menghini;Stefano Rizza;Massimo Federici
2024-11-19

Abstract

Background: This study aims to identify a metabolomic signature that facilitates the classi- fication of syncope and the categorization of the unexplained syncope (US) to aid in its management. Methods: We compared a control group (CTRL, n = 10) with a transient loss of consciousness (TLC) group divided into the OH group (n = 23) for orthostatic syncope, the NMS group (n = 26) for neuromediated syncope, the CS group (n = 9) for cardiological syncope, and the US group (n = 27) for US defined as syncope without a precise categorization after first- and second-level diagnostic approaches. Results: The CTRL and the TLC groups significantly differed in metabolic profile. A new logistic regression model has been developed to predict how the US will be clustered. Using differences in lysophosphatidylcholine with 22 carbon atom (C22:0-LPC) levels, 96% of the US be- longs to the NMS and 4% to the CS subgroup. Differences in glutamine and lysine (GLN/LYS) levels clustered 95% of the US in the NMS and 5% in the CS subgroup. Conclusions: We hypoth- esize a possible role of C22:0 LPC and GLN/LYS in re-classifying US and differentiating it from cardiological syncope.
19-nov-2024
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MEDS-05/A - Medicina interna
English
Longo, S., Cicalini, I., Pieragostino, D., DE LAURENZI, V., Legramante, J.m., Menghini, R., et al. (2024). A metabolomic approach to unexplained syncope. BIOMEDICINES, 12(11) [10.3390/biomedicines12112641].
Longo, S; Cicalini, I; Pieragostino, D; DE LAURENZI, V; Legramante, Jm; Menghini, R; Rizza, S; Federici, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/396341
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