2022
Introducing the Lipidomics Minimal Reporting Checklist
McDonald JG, Ejsing CS, Kopczynski D, Holčapek M, Aoki J, Arita M, Arita M, Baker ES, Bertrand-Michel J, Bowden JA, Brügger B, Ellis SR, Fedorova M, Griffiths WJ, Han X, Hartler J, Hoffmann N, Koelmel JP, Köfeler HC, Mitchell TW, O’Donnell V, Saigusa D, Schwudke D, Shevchenko A, Ulmer CZ, Wenk MR, Witting M, Wolrab D, Xia Y, Ahrends R, Liebisch G, Ekroos K. Introducing the Lipidomics Minimal Reporting Checklist. Nature Metabolism 2022, 4: 1086-1088. PMID: 35934691, DOI: 10.1038/s42255-022-00628-3.Peer-Reviewed Original Research
2021
Optimization of a liquid chromatography-ion mobility-high resolution mass spectrometry platform for untargeted lipidomics and application to HepaRG cell extracts
da Silva KM, Iturrospe E, Heyrman J, Koelmel JP, Cuykx M, Vanhaecke T, Covaci A, van Nuijs ALN. Optimization of a liquid chromatography-ion mobility-high resolution mass spectrometry platform for untargeted lipidomics and application to HepaRG cell extracts. Talanta 2021, 235: 122808. PMID: 34517665, DOI: 10.1016/j.talanta.2021.122808.Peer-Reviewed Original ResearchConceptsDrift tube ion mobility spectrometryLiquid chromatography-high resolution mass spectrometryBiological samplesResolution mass spectrometry platformCollision cross section valuesReliable structural elucidationReversed-phase liquid chromatography columnsIon mobility spectrometryResolution mass spectrometryLiquid chromatography columnBox-Behnken designMass spectrometry platformMobility spectrometryThousands of lipidsStructural elucidationIon mobilityMass spectrometerLC methodologyLipid annotationsMost biological samplesTimes of ionsMass spectrometryPeak capacityChromatography columnRetention factorsQuality control requirements for the correct annotation of lipidomics data
Köfeler HC, Eichmann TO, Ahrends R, Bowden JA, Danne-Rasche N, Dennis EA, Fedorova M, Griffiths WJ, Han X, Hartler J, Holčapek M, Jirásko R, Koelmel JP, Ejsing CS, Liebisch G, Ni Z, O’Donnell V, Quehenberger O, Schwudke D, Shevchenko A, Wakelam MJO, Wenk MR, Wolrab D, Ekroos K. Quality control requirements for the correct annotation of lipidomics data. Nature Communications 2021, 12: 4771. PMID: 34362906, PMCID: PMC8346590, DOI: 10.1038/s41467-021-24984-y.Peer-Reviewed Original ResearchA Novel Technique for Redox Lipidomics Using Mass Spectrometry: Application on Vegetable Oils Used to Fry Potatoes
Koelmel JP, Aristizabal-Henao JJ, Ni Z, Fedorova M, Kato S, Otoki Y, Nakagawa K, Lin EZ, Pollitt K, Vasiliou V, Guingab JD, Garrett TJ, Williams TL, Bowden JA, Penumetcha M. A Novel Technique for Redox Lipidomics Using Mass Spectrometry: Application on Vegetable Oils Used to Fry Potatoes. Journal Of The American Society For Mass Spectrometry 2021, 32: 1798-1809. PMID: 34096708, DOI: 10.1021/jasms.1c00150.Peer-Reviewed Original Research
2019
Re-modeling of foliar membrane lipids in a seagrass allows for growth in phosphorus-deplete conditions
Koelmel J, Campbell J, Guingab-Cagmat J, Meke L, Garrett T, Stingl U. Re-modeling of foliar membrane lipids in a seagrass allows for growth in phosphorus-deplete conditions. PLOS ONE 2019, 14: e0218690. PMID: 31774814, PMCID: PMC6880972, DOI: 10.1371/journal.pone.0218690.Peer-Reviewed Original ResearchConceptsSulfoquinovosyl diacylglycerolCertain speciesPhosphorus-depleted conditionsLeaves of plantsGalactolipid digalactosyldiacylglycerolMost speciesHigh-resolution tandem mass spectrometryLeaf membranesPhosphorus contentMembrane lipidsSeagrassSpeciesEnvironmental availabilityDiacylglyceryltrimethylhomoserineDigalactosyldiacylglycerolLeavesElemental availabilityTandem mass spectrometryStructural differencesLiquid chromatography-high resolution tandem mass spectrometryGlucuronosyldiacylglycerolMass spectrometryTurtlegrassLow phosphorus contentPlantsLipidomics for wildlife disease etiology and biomarker discovery: a case study of pansteatitis outbreak in South Africa
Koelmel J, Ulmer C, Fogelson S, Jones C, Botha H, Bangma J, Guillette T, Luus-Powell W, Sara J, Smit W, Albert K, Miller H, Guillette M, Olsen B, Cochran J, Garrett T, Yost R, Bowden J. Lipidomics for wildlife disease etiology and biomarker discovery: a case study of pansteatitis outbreak in South Africa. Metabolomics 2019, 15: 38. PMID: 30838461, PMCID: PMC11005104, DOI: 10.1007/s11306-019-1490-9.Peer-Reviewed Original ResearchConceptsApplication of lipidomicsDiverse biological rolesWildlife studiesPossible disease mechanismsClasses of lipidsHigh-resolution tandem mass spectrometryLoskop DamBiological roleMozambique tilapiaCell deathMortality eventsPansteatitisLipidomicsOxidative damageDisease mechanismsAdipose tissuePromising biomarker candidatesBiomarker discoveryDisease etiologyTilapiaTandem mass spectrometryCeramideAquatic lifeLipidomeBiomarker candidatesChronic maternal cortisol excess during late gestation leads to metabolic alterations in the newborn heart
Walejko J, Antolic A, Koelmel J, Garrett T, Edison A, Keller-Wood M. Chronic maternal cortisol excess during late gestation leads to metabolic alterations in the newborn heart. AJP Endocrinology And Metabolism 2019, 316: e546-e556. PMID: 30620638, PMCID: PMC6459297, DOI: 10.1152/ajpendo.00386.2018.Peer-Reviewed Original ResearchConceptsNewborn heartLate gestationCortisol altersMaternal cortisolCardiac arrhythmiasFetal cardiac arrhythmiasMaternal serum specimensCortisol excessFetal exposureMaternal serumFetal metabolismCardiac metabolitesAbnormal elevationExcess cortisolLipid profileChronic increaseFetal serumGestation leadMetabolic alterationsSerum specimensHeart specimensFetal heartLipid metabolitesGlycerophospholipid metabolismCortisol