Open Access
Int Arch Otorhinolaryngol 2015; 19(02): 141-150
DOI: 10.1055/s-0034-1396522
Original Research
Thieme Publicações Ltda Rio de Janeiro, Brazil

Lipidomic Profiling of Mastoid Bone and Tissue from Patients with Chronic Otomastoiditis

Farbod Fazlollahi
1   Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, United States
,
Kessiri Kongmanas
2   Department of Biochemistry/Microbiology/Immunology, University of Ottawa, Ottawa, Ontario, Canada
,
Nongnuj Tanphaichitr
2   Department of Biochemistry/Microbiology/Immunology, University of Ottawa, Ottawa, Ontario, Canada
,
Jeffrey Suh
3   Department of Otorhinolaryngology–Head and Neck Surgery, UCLA Health System, Los Angeles, California, United States
,
Kym Faull
1   Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, United States
,
Quinton Gopen
3   Department of Otorhinolaryngology–Head and Neck Surgery, UCLA Health System, Los Angeles, California, United States
› Institutsangaben
Weitere Informationen

Publikationsverlauf

25. September 2014

06. November 2014

Publikationsdatum:
08. Dezember 2014 (online)

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Abstract

Introduction Chronic otomastoiditis causes pain, otorrhea, and hearing loss resulting from the growth of tissue within the normally hollow mastoid cavity.

Objectives In this report, we used a lipidomics approach to profile major mastoid bone and tissue lipids from patients with and without otomastoiditis.

Methods The bone dust created during mastoidectomy, as well as the mastoid tissue, was analyzed from seven patients. Bone dust was also collected and analyzed in an additional four otologic cases (parotidectomy requiring mastoidectomy). Samples were subjected to a modified Bligh/Dyer lipid extraction, then high-performance thin-layer chromatography (HPTLC), combined gas chromatography/electron impact-mass spectrometry (GC/EI-MS), and flow-injection/electrospray ionization-tandem mass spectrometry (FI/ESI-MSMS). Data were analyzed for identification and profiling of major lipid components.

Results HPTLC revealed the presence of various lipid classes, including phosphatidylcholines, cholesterol, and triacylglycerols. GC/EI-MS analysis revealed the presence of cholesterol and several fatty acids. FI/ESI-MSMS analysis revealed a host of phosphatidylcholines, phosphatidylethanolamines, and cholesteryl esters.

Conclusion We used a lipidomics approach to develop an efficient (both in time and tissue amount) methodology for analysis of these tissues, identify the most abundant and common lipid species, and create a base of knowledge from which more focused endeavors in biomarker discovery can emerge. In an effort toward improved patient categorization and individualized intervention, the ultimate goal of this work is to correlate these lipid molecules to disease state and progression. This is the first reported study of its kind on these tissues.