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Related Experiment Video

Updated: Apr 13, 2026

Tilt Testing with Combined Lower Body Negative Pressure: a "Gold Standard" for Measuring Orthostatic Tolerance

Tilt Testing with Combined Lower Body Negative Pressure: a "Gold Standard" for Measuring Orthostatic Tolerance

Published on: March 21, 2013

A Metabolomic Approach to Unexplained Syncope.

Susanna Longo¹, Ilaria Cicalini^2,3, Damiana Pieragostino^2,3

¹Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy.

|November 27, 2024

Summary

This summary is machine-generated.

This study identifies metabolic signatures to classify syncope, particularly unexplained syncope (US). Lysophosphatidylcholine (C22:0-LPC) and glutamine/lysine (GLN/LYS) levels help differentiate US subtypes.

Keywords:

cardiometabolic risk factors cardiovascular diseases glutamine lysine lysophosphatidylcholine metabolomics unexplained syncope

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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Published on: November 29, 2024

Area of Science:

Cardiology
Neurology
Metabolomics

Background:

Syncope management requires accurate classification, especially for unexplained syncope (US).
Current diagnostic approaches have limitations in categorizing all syncope cases.
Metabolomic profiling offers a potential avenue for improved syncope diagnosis.

Purpose of the Study:

To identify a metabolomic signature for syncope classification.
To categorize unexplained syncope (US) into specific subtypes.
To aid in the clinical management of syncope.

Main Methods:

Comparison of metabolic profiles between control and transient loss of consciousness (TLC) groups.
TLC group categorized into orthostatic syncope (OH), neuromediated syncope (NMS), cardiological syncope (CS), and unexplained syncope (US).
Logistic regression modeling to predict US clustering based on metabolite levels.

Main Results:

Significant differences in metabolic profiles were observed between control and TLC groups.
Lysophosphatidylcholine with 22 carbon atoms (C22:0-LPC) levels correctly classified 96% of US as NMS and 4% as CS.
Glutamine and lysine (GLN/LYS) ratio effectively clustered 95% of US into NMS and 5% into CS.

Conclusions:

C22:0-LPC and GLN/LYS ratios show potential as biomarkers for re-classifying unexplained syncope.
These metabolites may help differentiate US from cardiological syncope.
Metabolomic signatures could improve the diagnostic accuracy and management of syncope.