Untargeted metabolomics profiling of skeletal muscle samples from malignant hyperthermia susceptible patients

• Published in: Canadian journal of anesthesia Vol. 68; no. 6; pp. 761 - 772
• Main Authors: Bojko, Barbara, Vasiljevic, Tijana, Boyaci, Ezel, Roszkowska, Anna, Kraeva, Natalia, Ibarra Moreno, Carlos A., Koivu, Annabel, Wąsowicz, Marcin, Hanna, Amy, Hamilton, Susan, Riazi, Sheila, Pawliszyn, Janusz
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.06.2021; Springer Nature B.V
• Subjects: Anesthesiology; Cardiology; Critical Care Medicine; Hyperthermia; Intensive; Medicine; Medicine & Public Health; Metabolites; Musculoskeletal system; Oxidative stress; Pain Medicine; Pediatrics; Pneumology/Respiratory System; Reports of Original Investigations; Malignant hyperthermia; Metabolomics
• ISSN: 0832-610X; 1496-8975
• DOI: 10.1007/s12630-020-01895-y

Purpose Malignant hyperthermia (MH) is a potentially fatal hypermetabolic condition triggered by certain anesthetics and caused by defective calcium homeostasis in skeletal muscle cells. Recent evidence has revealed impairment of various biochemical pathways in MH-susceptible patients in the absence of anesthetics. We hypothesized that clinical differences between MH-susceptible and control individuals are reflected in measurable differences in myoplasmic metabolites. Methods We performed metabolomic profiling of skeletal muscle samples from MH-negative (control) individuals and MH-susceptible patients undergoing muscle biopsy for diagnosis of MH susceptibility. Cellular metabolites were extracted from 33 fresh and 87 frozen human muscle samples using solid phase microextraction and Metabolon ® untargeted biochemical profiling platforms, respectively. Ultra-performance liquid chromatography-high resolution mass spectrometry was used for metabolite identification and validation, followed by analysis of differences in metabolites between the MH-susceptible and MH-negative groups. Results Significant fold-change differences between the MH-susceptible and control groups in metabolites from various pathways were found ( P value range: 0.009 to < 0.001). These included accumulation of long chain acylcarnitines, diacylglycerols, phosphoenolpyruvate, histidine pathway metabolites, lysophosphatidylcholine, oxidative stress markers, and phosphoinositols, as well as decreased levels of monoacylglycerols. The results from both analytical platforms were in agreement. Conclusion This metabolomics study indicates a shift from utilization of carbohydrates towards lipids for energy production in MH-susceptible individuals. This shift may result in inefficiency of beta-oxidation, and increased muscle protein turnover, oxidative stress, and/or lysophosphatidylcholine levels.