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A Metabolomic Approach to Unexplained Syncope

Articolo
Data di Pubblicazione:
2024
Abstract:
Background: This study aims to identify a metabolomic signature that facilitates the classification 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 belongs 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 hypothesize a possible role of C22:0 LPC and GLN/LYS in re-classifying US and differentiating it from cardiological syncope.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
cardiometabolic risk factors; cardiovascular diseases; glutamine; lysine; lysophosphatidylcholine; metabolomics; unexplained syncope
Elenco autori:
Longo, Susanna; Cicalini, Ilaria; Pieragostino, Damiana; De Laurenzi, Vincenzo; Legramante, Jacopo M.; Menghini, Rossella; Rizza, Stefano; Federici, Massimo
Autori di Ateneo:
CICALINI ILARIA
DE LAURENZI Vincenzo
PIERAGOSTINO DAMIANA
Link alla scheda completa:
https://ricerca.unich.it/handle/11564/844513
Link al Full Text:
https://ricerca.unich.it//retrieve/handle/11564/844513/466110/2024-biomedicines-12-02641.pdf
Pubblicato in:
BIOMEDICINES
Journal
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URL

https://www.mdpi.com/2227-9059/12/11/2641
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