[en] In recent years, lipidomics have been widely developed to try to better understand many diseases or physical conditions. In this study, the aim was to evaluate the possibility to conduct reliable lipidomic studies using hemaPEN® microsampling devices. Targeted lipidomic analysis was applied to investigate the impact of a short and intense physical activity on lipids blood concentration. HemaPEN® microsampling device was used to easily collect several samples directly on an athletics track. This device allows the accurate collection of four blood samples (2.74 µL each) in a non-invasive way and without any specific skills. In this study, nineteen healthy volunteers aged from 19 to 27 were included. Participants ran 400 m warm-up and 1600 m as fast as possible. Blood samples were collected at five different time points. One sample was collected before the exercise, two during the physical activity and two after. An extraction process as well as an ultra-high-performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS) method were optimized to follow-up 11 compounds in these small volumes of blood. Blood concentration of five out of the eleven targeted analytes were significantly influenced by the physical exercise. Blood concentration of arachidonic acid, sphingosine and lactic acid were significantly increased after exercise, while concentration of 14:0 lysophosphatidylcholine and 18:1 lysophosphatidylcholine were significantly decreased.
Disciplines :
Pharmacy, pharmacology & toxicology
Author, co-author :
Laurent, Anna ✱; Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments ; Université de Liège - ULiège > Unités de recherche interfacultaires > Centre Interdisciplinaire de Recherche sur le Médicament (CIRM)
Nix, Cindy ✱; Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments
Cobraiville, Gaël ; Centre Hospitalier Universitaire de Liège - CHU > > Service de rhumatologie
Crommen, Jacques ; Université de Liège - ULiège > Département de pharmacie
Fillet, Marianne ; Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments
✱ These authors have contributed equally to this work.
Language :
English
Title :
A targeted UHPLC-MS/MS method to monitor lipidomic changes during a physical effort: Optimization and application to blood microsamples from athletes.
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
Gonzalez-covarrubias, V., Martinez-Martinez, E., del Bosque-Plata, L., The potential of metabolomics in biomedical applications. Metabolites, 12, 2022.
Belhaj, M.R., Lawler, N.G., Hoffman, N.J., Metabolomics and lipidomics: expanding the molecular landscape of exercise biology. Metabolites, 11, 2021.
Zhang, X., Zhu, X., Wang, C., Zhang, H., Cai, Z., Non-targeted and targeted metabolomics approaches diagnosing lung cancer and predicting patient prognosis. Oncotarget, 7, 2016.
Jurowski, K., Kochan, K., Walczak, J., Barańska, M., Piekoszewski, W., Buszewski, B., Analytical techniques in lipidomics: state of the art. Crit. Rev. Anal. Chem. 47 (2017), 418–437.
Wu, Z., Shon, J.C., Liu, K.-H., Mass spectrometry-based lipidomics and its application to biomedical research. J. Lifestyle Med. 4 (2014), 17–33.
Obeso, D., Contreras, N., Dolores-hern, M., Carrillo, T., Barbas, C., Escribese, M., Villaseñor, A., Barber, D., Development of a novel targeted metabolomic LC-QqQ-MS method in allergic inflammation. Metabolites, 12, 2022.
Kim, E.J., Ramachandran, R., Wierzbicki, A.S., Lipidomics in diabetes. Curr. Opin. Endocrinol. Diabetes Obes. 29 (2022), 124–130.
Liakh, I., Sledzinski, T., Kaska, L., Mozolewska, P., Mika, A., Sample preparation methods for lipidomics approaches used in studies of obesity. Molecules, 25, 2020.
Butler, L.M., Perone, Y., Dehairs, J., Lupien, L.E., de Laat, V., Talebi, A., Loda, M., Kinlaw, W.B., Swinnen, J.V., Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention. Adv. Drug Deliv. Rev. 159 (2020), 245–293.
Tabassum, R., Ripatti, S., Integrating lipidomics and genomics: emerging tools to understand cardiovascular diseases. Cell. Mol. Life Sci. 78 (2021), 2565–2584.
Zhong, S., Li, L., Shen, X., Li, Q., Xu, W., Wang, X., Tao, Y., Yin, H., An update on lipid oxidation and inflammation in cardiovascular diseases. Free Radic. Biol. Med. 144 (2019), 266–278.
Kao, Y.C., Ho, P.C., Tu, Y.K., Jou, I.M., Tsai, K.J., Lipids and alzheimer's disease. Int. J. Mol. Sci., 21, 2020.
Schranner, D., Kastenmüller, G., Schönfelder, M., Römisch-Margl, W., Wackerhage, H., Metabolite concentration changes in humans after a bout of exercise: a systematic review of exercise metabolomics studies. Sport. Med., 6, 2020.
Stander, Z., Luies, L., Mienie, L.J., Keane, K.M., Howatson, G., Clifford, T., Stevenson, E.J., Loots, D.T., The altered human serum metabolome induced by a marathon. Metabolomics, 14, 2018.
Schader, J.F., Haid, M., Cecil, A., Schoenfeld, J., Halle, M., Pfeufer, A., Prehn, C., Adamski, J., Nieman, D.C., Scherr, J., Metabolite shifts induced by marathon race competition differ between athletes based on level of fitness and performance: a substudy of the enzy-magIC study. Metabolites, 10, 2020.
Hu, C., Hoene, M., Plomgaard, P., Hansen, J.S., Zhao, X., Li, J., Wang, X., Clemmesen, J.O., Secher, N.H., Häring, H.U., Lehmann, R., Xu, G., Weigert, C., Muscle-liver substrate fluxes in exercising humans and potential effects on hepatic metabolism. J. Clin. Endocrinol. Metab. 105 (2020), 1196–1209.
Contrepois, K., Wu, S., Moneghetti, K.J., Hornburg, D., Ahadi, S., Tsai, M.S., Metwally, A.A., Wei, E., Lee-McMullen, B., Quijada, J.V., Chen, S., Christle, J.W., Ellenberger, M., Balliu, B., Taylor, S., Durrant, M.G., Knowles, D.A., Choudhry, H., Ashland, M., Bahmani, A., Enslen, B., Amsallem, M., Kobayashi, Y., Avina, M., Perelman, D., Schüssler-Fiorenza Rose, S.M., Zhou, W., Ashley, E.A., Montgomery, S.B., Chaib, H., Haddad, F., Snyder, M.P., Molecular choreography of acute exercise. Cell 181 (2020), 1112–1130.
Protti, M., Mandrioli, R., Mercolini, L., Tutorial: volumetric absorptive microsampling (VAMS). Anal. Chim. Acta 1046 (2019), 32–47.
Nix, C., Hemmati, M., Cobraiville, G., Servais, A.C., Fillet, M., Blood microsampling to monitor metabolic profiles during physical exercise. Front. Mol. Biosci., 8, 2021.
Deprez, S., Paniagua-González, L., Velghe, S., Stove, C.P., Evaluation of the performance and hematocrit independence of the hemaPEN as a volumetric dried blood spot collection device. Anal. Chem. 91 (2019), 14467–14475.
Protti, M., Marasca, C., Cirrincione, M., Cavalli, A., Mandrioli, R., Mercolini, L., Assessment of capillary volumetric blood microsampling for the analysis of central nervous system drugs and metabolites. Analyst 145 (2020), 5744–5753.
Sen, A., Gillett, M., Weaver, L., Barfield, M., Singh, P., Lapierre, F., Spooner, N., In vitro testing of the hemaPEN microsampling device for the quantification of acetaminophen in human blood. Bioanalysis 12 (2020), 1725–1737.
Bienvenu, J.F., Provencher, G., Bélanger, P., Bérubé, R., Dumas, P., Gagné, S., Gaudreau, É., Fleury, N., Standardized procedure for the simultaneous determination of the matrix effect, recovery, process efficiency, and internal standard association. Anal. Chem. 89 (2017), 7560–7568.
Nys, G., Gallez, A., Kok, M.G.M., Cobraiville, G., Servais, A.C., Piel, G., Pequeux, C., Fillet, M., Whole blood microsampling for the quantitation of estetrol without derivatization by liquid chromatography-tandem mass spectrometry. J. Pharm. Biomed. Anal. 140 (2017), 258–265.
ICH guideline, M10 on bioanalytical method validation and study sample analysis. Committee for Medicinal Products for Human Use. Eur. Med. Agency, 2022 Available from: https://www.ema.europa.eu/en/ich-m10-bioanalytical-method-validation-scientific-guideline (accessed 2022-11-15).
Gritti, F., Guiochon, G., Adsorption mechanism in RPLC. Effect of the nature of the organic modifier. Anal. Chem. 77 (2005), 4257–4272.
Dasgupta, A., Wahed, A., Laboratory statistics and quality control. Clin. Chem. Immunol. Lab. Qual. Control, 2014, 47–66.
Volmer, D.A., Jessome, L.L., Ion suppression: a major concern in mass spectrometry. LCGC North Am. 24 (2006), 498–510.
Fasano, C., Hiol, A., Miolan, J.P., Niel, J.P., Sphingolipids, vehicle for pathogenic agents and cause of genetic diseases. Med. Sci. 22 (2006), 411–415.
Similar publications
Sorry the service is unavailable at the moment. Please try again later.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.