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)...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
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| Series: | Biomedicines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9059/12/11/2641 |
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| Summary: | <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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| ISSN: | 2227-9059 |