A Metabolomic Approach to Unexplained Syncope

<b>Background:</b> 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. <b>Methods:</b> We compared a control group (CTRL, <i>n</i> = 10) with a transient loss of consciousness (TLC) group divided into the OH group (<i>n</i> = 23) for orthostatic syncope, the NMS group (<i>n</i> = 26) for neuromediated syncope, the CS group (<i>n</i> = 9) for cardiological syncope, and the US group (<i>n</i> = 27) for US defined as syncope without a precise categorization after first- and second-level diagnostic approaches. <b>Results:</b> 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. <b>Conclusions:</b> We hypothesize a possible role of C22:0 LPC and GLN/LYS in re-classifying US and differentiating it from cardiological syncope.

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Publication Details

Journal
Biomedicines
Published
2024-11-19
DOI
https://doi.org/10.3390/biomedicines12112641
Citations
4
Primary Topic
Cardiovascular Syncope and Autonomic Disorders
Type
article
Field-Weighted Citation Impact
2.29
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article

A Metabolomic Approach to Unexplained Syncope

Damiana Pieragostino, Susanna Longo, Vincenzo De Laurenzi, Massimo Federici et al.
4 citations
Biomedicines
Cardiovascular Syncope and Autonomic Disorders
2.29
article

A Metabolomic Approach to Unexplained Syncope

Damiana Pieragostino, Susanna Longo, Vincenzo De Laurenzi, Massimo Federici, Jacopo M. Legramante, Stefano Rizza, Rossella Menghini, Ilaria Cicalini
article en
4 citations

Abstract

<b>Background:</b> 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. <b>Methods:</b> We compared a control group (CTRL, <i>n</i> = 10) with a transient loss of consciousness (TLC) group divided into the OH group (<i>n</i> = 23) for orthostatic syncope, the NMS group (<i>n</i> = 26) for neuromediated syncope, the CS group (<i>n</i> = 9) for cardiological syncope, and the US group (<i>n</i> = 27) for US defined as syncope without a precise categorization after first- and second-level diagnostic approaches. <b>Results:</b> 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. <b>Conclusions:</b> We hypothesize a possible role of C22:0 LPC and GLN/LYS in re-classifying US and differentiating it from cardiological syncope.

BiomedicinesVol. 12(11)
University of Rome Tor Vergata (IT), University of Chieti-Pescara (IT)
Openalex Percentile: Top 11%
Cardiovascular Syncope and Autonomic Disorders
2.29
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A Metabolomic Approach to Unexplained Syncope — Damiana Pieragostino, Susanna Longo, et al. · Biomedicines (2024) | TGRS Research Map | TGRS