{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:33:11Z","timestamp":1772119991732,"version":"3.50.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,9,18]],"date-time":"2021-09-18T00:00:00Z","timestamp":1631923200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,9,18]],"date-time":"2021-09-18T00:00:00Z","timestamp":1631923200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Endocrine"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Pheochromocytomas and Paragangliomas (PPGL) result in chronic catecholamine excess and serious health complications. A recent study obtained a metabolic signature in plasma from PPGL patients; however, its targeted nature may have generated an incomplete picture and a broader approach could provide additional insights. We aimed to characterize the plasma metabolome of PPGL patients before and after surgery, using an untargeted approach, and to broaden the scope of the investigated metabolic impact of these tumors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>A cohort of 36 PPGL patients was investigated. Blood plasma samples were collected before and after surgical tumor removal, in association with clinical and tumor characteristics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Plasma samples were analyzed using untargeted nuclear magnetic resonance (NMR) spectroscopy metabolomics. The data were evaluated using a combination of uni- and multi-variate statistical methods.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Before surgery, patients with a nonadrenergic tumor could be distinguished from those with an adrenergic tumor based on their metabolic profiles. Tyrosine levels were significantly higher in patients with high compared to those with low BMI. Comparing subgroups of pre-operative samples with their post-operative counterparts, we found a metabolic signature that included ketone bodies, glucose, organic acids, methanol, dimethyl sulfone and amino acids. Three signals with unclear identities were found to be affected.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Our study suggests that the pathways of glucose and ketone body homeostasis are affected in PPGL patients. BMI-related metabolite levels were also found to be altered, potentially linking muscle atrophy to PPGL. At baseline, patient metabolomes could be discriminated based on their catecholamine phenotype.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s12020-021-02858-z","type":"journal-article","created":{"date-parts":[[2021,9,18]],"date-time":"2021-09-18T08:02:47Z","timestamp":1631952167000},"page":"254-265","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Pre- versus post-operative untargeted plasma nuclear magnetic resonance spectroscopy metabolomics of pheochromocytoma and paraganglioma"],"prefix":"10.1007","volume":"75","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7775-6613","authenticated-orcid":false,"given":"Nikolaos G.","family":"Bliziotis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leo A. J.","family":"Kluijtmans","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Soto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerjen H.","family":"Tinnevelt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katharina","family":"Langton","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mercedes","family":"Robledo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christina","family":"Pamporaki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Udo F. H.","family":"Engelke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zoran","family":"Erlic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jasper","family":"Engel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timo","family":"Deutschbein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Svenja","family":"N\u00f6lting","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aleksander","family":"Prejbisz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Susan","family":"Richter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cornelia","family":"Prehn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jerzy","family":"Adamski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrzej","family":"Januszewicz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Reincke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Fassnacht","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Graeme","family":"Eisenhofer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felix","family":"Beuschlein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthias","family":"Kroiss","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ron A.","family":"Wevers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeroen J.","family":"Jansen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaap","family":"Deinum","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1208-5748","authenticated-orcid":false,"given":"Henri J. L. M.","family":"Timmers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,18]]},"reference":[{"issue":"1","key":"2858_CR1","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1677\/ERC-10-0211.Catecholamine","volume":"18","author":"G Eisenhofer","year":"2011","unstructured":"G. Eisenhofer, K. Pacak, T.-t Huynh, N. Qin, G. Bratslavsky, W.M. Linehan, M. Mannelli, P. Friberg, H.J. Timmers, R. Stefan, J.W.M. Lenders, Catecholamine metabolomic and secretory phenotypes in phaeochromocytoma. Endocr. Relat. Cancer 18(1), 97\u2013111 (2011). https:\/\/doi.org\/10.1677\/ERC-10-0211.Catecholamine","journal-title":"Endocr. Relat. Cancer"},{"issue":"2","key":"2858_CR2","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.physbeh.2017.03.040","volume":"31","author":"L Fishbein","year":"2017","unstructured":"L. Fishbein, I. Leshchiner, V. Walter, L. Danilova, A.G. Robertson, A.R. Johnson, T.M. Lichtenberg, B.A. Murray, H.K. Ghayee, T. Else, S. Ling, S.R. Jefferys, A.A. de Cubas, B. Wenz, E. Korpershoek, A.L. Amelio, L. Makowski, W.K. Rathmell, A.-P. Gimenez-Roqueplo, T.J. Giordano, S.L. Asa, A.S. Tischler; K. P. The Cancer Genome Atlas Research Network, K. L. Nathanson, M. D, Wilkerso: comprehensive molecular characterization of pheochromocytoma and paraganglioma. Cancer Cell 31(2), 181\u2013193 (2017). https:\/\/doi.org\/10.1016\/j.physbeh.2017.03.040","journal-title":"Cancer Cell"},{"key":"2858_CR3","doi-asserted-by":"crossref","unstructured":"B. D. Pereira, H. V. Luiz, A. G. Ferreira, Jorge Portugal: Genetics of Pheochromocytoma and Paraganglioma. In: R. Mariani-Costantini (ed.) Paraganglioma: a multidisciplinary approach, chapter 1. (Codon Publications, Brisbane (AU), 2019) pp. 1\u201322","DOI":"10.15586\/paraganglioma.2019.ch1"},{"key":"2858_CR4","doi-asserted-by":"publisher","unstructured":"G. Eisenhofer, T. Deutschbein, G. Constantinescu, K. Langton, C. Pamporaki, B. Calsina, M. Monteagudo, M. Peitzsch, S. Fliedner, H. J. Timmers, N. Bechmann, M. Fankhauser, S. N\u00f6lting, F. Beuschlein, A. Stell, M. Fassnacht, A. Prejbisz, J. W. Lenders, M. Robledo: Plasma metanephrines and prospective prediction of tumor location, size and mutation type in patients with pheochromocytoma and paraganglioma. Clin. Chem. Lab. Med. (2020). https:\/\/doi.org\/10.1515\/cclm-2020-0904","DOI":"10.1515\/cclm-2020-0904"},{"issue":"1","key":"2858_CR5","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1016\/S0300-595X(85)80070-0","volume":"366","author":"JW Lenders","year":"2005","unstructured":"J.W. Lenders, G. Eisenhofer, M. Mannelli, K. Pacak, Phaeochromocytoma. Lancet 366(1), 665\u2013675 (2005). https:\/\/doi.org\/10.1016\/S0300-595X(85)80070-0","journal-title":"Lancet"},{"issue":"2-3","key":"2858_CR6","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1055\/a-0649-0960","volume":"127","author":"Z Erlic","year":"2019","unstructured":"Z. Erlic, F. Beuschlein, Metabolic alterations in patients with pheochromocytoma. Exp. Clin. Endocrinol. Diabetes 127(2-3), 129\u2013136 (2019). https:\/\/doi.org\/10.1055\/a-0649-0960","journal-title":"Exp. Clin. Endocrinol. Diabetes"},{"key":"2858_CR7","volume-title":"Handbook of metabonomics and metabolomics","author":"JC Lindon","year":"2007","unstructured":"J.C. Lindon, J.K. Nicholson, E. Holmes. Handbook of metabonomics and metabolomics. (Elsevier, London), 2007)"},{"issue":"3","key":"2858_CR8","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/s10545-017-0131-6","volume":"41","author":"K Coene","year":"2018","unstructured":"K. Coene, L. Kluijtmans, E. van der Heeft, U. Engelke, S. de Boer, B. Hoegen, H. Kwast van de Vorst, M. Huigen, I. Keularts, M. Schreuder, C. van Karnebeek, S. Wortmann, M. de Vries, M. Janssen, C. Gilissen, J. Engel, R. WeversNext-generation metabolic screening: targeted and untargeted metabolomics for the diagnosis of inborn errors of metabolism in individual patients. J. Inherit. Metab. Dis. 41(3), 337\u2013353 (2018). https:\/\/doi.org\/10.1007\/s10545-017-0131-6","journal-title":"J. Inherit. Metab. Dis."},{"issue":"1","key":"2858_CR9","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1039\/b906712b","volume":"40","author":"WB Dunn","year":"2011","unstructured":"W.B. Dunn, D.I. Broadhurst, H.J. Atherton, R. Goodacre, J.L. Griffin, Systems level studies of mammalian metabolomes: The roles of mass spectrometry and nuclear magnetic resonance spectroscopy. Chem. Soc. Rev. 40(1), 387\u2013426 (2011). https:\/\/doi.org\/10.1039\/b906712b","journal-title":"Chem. Soc. Rev."},{"key":"2858_CR10","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.copbio.2016.08.001","volume":"43","author":"JL Markley","year":"2017","unstructured":"J.L. Markley, R. Br\u00fcschweiler, A.S. Edison, H.R. Eghbalnia, R. Powers, D. Raftery, D.S. Wishart, The future of NMR-based metabolomics. Curr. Opin. Biotechnol. 43, 34\u201340 (2017). https:\/\/doi.org\/10.1016\/j.copbio.2016.08.001","journal-title":"Curr. Opin. Biotechnol."},{"key":"2858_CR11","doi-asserted-by":"publisher","unstructured":"N. Psychogios, D. D. Hau, J. Peng, A. C. Guo, R. Mandal, S. Bouatra, I. Sinelnikov, R. Krishnamurthy, R. Eisner, B. Gautam, N. Young, J. Xia, C. Knox, E. Dong, P. Huang, Z. Hollander, T. L. Pedersen, S. R. Smith, F. Bamforth, R. Greiner, B. McManus, J. W. Newman, T. Goodfriend, D. S. Wishart: The human serum metabolome. PLoS ONE 6(2) (2011). https:\/\/doi.org\/10.1371\/journal.pone.0016957","DOI":"10.1371\/journal.pone.0016957"},{"issue":"4","key":"2858_CR12","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1038\/nrm3314.Metabolomics","volume":"13","author":"GJ Patti","year":"2013","unstructured":"G.J. Patti, O. Yanes, G. Siuzdak, Metabolomics: the apogee of the omic triology. Nat. Rev. Mol. Cell Biol. 13(4), 263\u2013269 (2013). https:\/\/doi.org\/10.1038\/nrm3314.Metabolomics","journal-title":"Nat. Rev. Mol. Cell Biol."},{"issue":"6","key":"2858_CR13","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1530\/EJE-19-0589","volume":"181","author":"Z Erlic","year":"2019","unstructured":"Z. Erlic, M. Kurlbaum, T. Deutschbein, S. N\u00f6lting, A. Prejbisz, H. Timmers, S. Richter, C. Prehn, D. Weismann, J. Adamski, A. Januszewicz, M. Reincke, M. Fassnacht, M. Robledo, G. Eisenhofer, F. Beuschlein, M. Kroiss, Metabolic impact of pheochromocytoma\/ paraganglioma: targeted metabolomics in patients before and after tumor removal. Eur. J. Endocrinol. 181(6), 647\u2013657 (2019). https:\/\/doi.org\/10.1530\/EJE-19-0589","journal-title":"Eur. J. Endocrinol."},{"issue":"5","key":"2858_CR14","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1007\/s11306-020-01686-y","volume":"16","author":"NG Bliziotis","year":"2020","unstructured":"N.G. Bliziotis, U.F.H. Engelke, R.L.E.G. Aspers, J. Engel, J. Deinum, H.J.L.M. Timmers, R.A. Wevers, L.A.J. Kluijtmans, A comparison of high-throughput plasma NMR protocols for comparative untargeted metabolomics. Metabolomics 16(5), 64 (2020). https:\/\/doi.org\/10.1007\/s11306-020-01686-y","journal-title":"Metabolomics"},{"issue":"11","key":"2858_CR15","doi-asserted-by":"publisher","first-page":"1646","DOI":"10.1373\/clinchem.2018.291369","volume":"64","author":"G Eisenhofer","year":"2018","unstructured":"G. Eisenhofer, A. Prejbisz, M. Peitzsch, C. Pamporaki, J. Masjkur, N. Rogowski-Lehmann, K. Langton, E. Tsourdi, M. Peczkowska, S. Fliedner, T. Deutschbein, F. Megerle, H.J. Timmers, R. Sinnott, F. Beuschlein, M. Fassnacht, A. Januszewicz, J.W. Lenders, Biochemical diagnosis of chromaffin cell tumors in patients at high and low risk of disease: plasma versus urinary free or deconjugated o-methylated catecholamine metabolites. Clin. Chem. 64(11), 1646\u20131656 (2018). https:\/\/doi.org\/10.1373\/clinchem.2018.291369","journal-title":"Clin. Chem."},{"issue":"4","key":"2858_CR16","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1210\/jc.2016-3829","volume":"102","author":"C Pamporaki","year":"2017","unstructured":"C. Pamporaki, B. Hamplova, M. Peitzsch, A. Prejbisz, F. Beuschlein, H.J. Timmers, M. Fassnacht, B. Klink, M. Lodish, C.A. Stratakis, A. Huebner, S. Fliedner, M. Robledo, R.O. Sinnott, A. Januszewicz, K. Pacak, G. Eisenhofer, Characteristics of pediatric vs adult pheochromocytomas and paragangliomas. J. Clin. Endocrinol. Metab. 102(4), 1122\u20131132 (2017). https:\/\/doi.org\/10.1210\/jc.2016-3829","journal-title":"J. Clin. Endocrinol. Metab."},{"issue":"4","key":"2858_CR17","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1016\/j.jmoldx.2017.04.009","volume":"19","author":"M Curr\u00e1s-Freixes","year":"2017","unstructured":"M. Curr\u00e1s-Freixes, E. Pi\u00f1eiro-Ya\u00f1ez, C. Montero-Conde, M. Apell\u00e1niz-Ruiz, B. Calsina, V. Mancikova, L. Remacha, S. Richter, T. Ercolino, N. Rogowski-Lehmann, T. Deutschbein, M. Calatayud, S. Guadalix, C. \u00c1lvarez-Escol\u00e1, C. Lamas, J. Aller, J. Sastre-Marcos, C. L\u00e1zaro, J.C. Galofre, A. Pati\u00f1o-Garcia, A. Meoro-Aviles, J. Balma\u00f1a-Gelpi, P. De Miguel-Novoa, M. Balb\u00edn, X. Mat\u00edas-Guiu, R. Let\u00f3n, L. Inglada-P\u00e9rez, R. Torres-P\u00e9rez, J.M. Rold\u00e1n-Romero, C. Rodr\u00edguez-Antona, S.M. Fliedner, G. Opocher, K. Pacak, E. Korpershoek, R.R. de Krijger, L. Vroonen, M. Mannelli, M. Fassnacht, F. Beuschlein, G. Eisenhofer, A. Casc\u00f3n, F. Al-Shahrour, M. Robledo, PheoSeq: a targeted next-generation sequencing assay for pheochromocytoma and paraganglioma diagnostics. J. Mol. Diagnostics 19(4), 575\u2013588 (2017). https:\/\/doi.org\/10.1016\/j.jmoldx.2017.04.009","journal-title":"J. Mol. Diagnostics"},{"issue":"13","key":"2858_CR18","doi-asserted-by":"publisher","first-page":"4430","DOI":"10.1021\/ac060209g","volume":"78","author":"AM Weljie","year":"2006","unstructured":"A.M. Weljie, J. Newton, P. Mercier, E. Carlson, C.M. Slupsky, Targeted profiling: quantitative analysis of H NMR metabolomics data. Anal. Chem. 78(13), 4430\u20134442 (2006). https:\/\/doi.org\/10.1021\/ac060209g","journal-title":"Anal. Chem."},{"key":"2858_CR19","doi-asserted-by":"publisher","unstructured":"D. Wishart, Y. Feunang, A. Marcu, G. AC, K. Liang, HMDB 4.0 \u2014 the human metabolome database for 2018. Nucleic Acids Res 4(46), D608\u2013D617 (2018). https:\/\/doi.org\/10.1093\/nar\/gkx1089","DOI":"10.1093\/nar\/gkx1089"},{"issue":"2","key":"2858_CR20","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1038\/nbt0208-162","volume":"26","author":"Q Cui","year":"2008","unstructured":"Q. Cui, I.A. Lewis, A.D. Hegeman, M.E. Anderson, J. Li, C.F. Schulte, W.M. Westler, H.R. Eghbalnia, M.R. Sussman, J.L. Markley, Metabolite identification via the madison metabolomics consortium database. Nat. Biotechnol. 26(2), 162\u2013164 (2008). https:\/\/doi.org\/10.1038\/nbt0208-162","journal-title":"Nat. Biotechnol."},{"issue":"11","key":"2858_CR21","doi-asserted-by":"publisher","first-page":"1947","DOI":"10.1002\/pro.3715","volume":"28","author":"M Kanehisa","year":"2019","unstructured":"M. Kanehisa, Toward understanding the origin and evolution of cellular organisms. Protein Sci. 28(11), 1947\u20131951 (2019). https:\/\/doi.org\/10.1002\/pro.3715","journal-title":"Protein Sci."},{"key":"2858_CR22","doi-asserted-by":"publisher","unstructured":"F. Rohart, B. Gautier, A. Singh, K.-A. L\u00ea Cao: mixOmics: An R package for \u2018omics feature selection and multiple data integration. PLoS Comput. Biol. 13(11) (2017). https:\/\/doi.org\/10.1371\/journal.pcbi.1005752","DOI":"10.1371\/journal.pcbi.1005752"},{"issue":"1","key":"2858_CR23","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/s11306-009-0185-z","volume":"6","author":"JA Westerhuis","year":"2010","unstructured":"J.A. Westerhuis, E.J. van Velzen, H.C. Hoefsloot, A.K. Smilde, Multivariate paired data analysis: Multilevel PLSDA versus OPLSDA. Metabolomics 6(1), 119\u2013128 (2010). https:\/\/doi.org\/10.1007\/s11306-009-0185-z","journal-title":"Metabolomics"},{"issue":"1","key":"2858_CR24","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Y. Benjamini, Y. Hochberg, Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. 57(1), 289\u2013300 (1995). https:\/\/doi.org\/10.1111\/j.2517-6161.1995.tb02031.x","journal-title":"J. R. Stat. Soc."},{"issue":"2","key":"2858_CR25","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1210\/jc.2005-0859","volume":"91","author":"V Qvisth","year":"2006","unstructured":"V. Qvisth, E. Hagstr\u00f6m-Toft, S. Enoksson, E. Moberg, P. Arner, J. Bolinder, Human skeletal muscle lipolysis is more responsive to epinephrine than to norepinephrine stimulation in Vivo. J. Clin. Endocrinol. Metab. 91(2), 665\u2013670 (2006). https:\/\/doi.org\/10.1210\/jc.2005-0859","journal-title":"J. Clin. Endocrinol. Metab."},{"issue":"10","key":"2858_CR26","doi-asserted-by":"publisher","first-page":"1214","DOI":"10.1016\/S0026-0495(96)90238-3","volume":"45","author":"AJ Krentz","year":"1996","unstructured":"A.J. Krentz, D. Freedman, R. Greene, M. McKinley, P.J. Boyle, D.S. Schade, Differential effects of physiological versus pathophysiological plasma concentrations of epinephrine and norepinephrine on ketone body metabolism and hepatic portal blood flow in man. Metab. Clin. Exp. 45(10), 1214\u20131220 (1996). https:\/\/doi.org\/10.1016\/S0026-0495(96)90238-3","journal-title":"Metab. Clin. Exp."},{"issue":"2","key":"2858_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0056827","volume":"8","author":"I Bancos","year":"2013","unstructured":"I. Bancos, J.P. Bida, D.Tian, M. Bundrick, K. John, M.N. Holte, Y.F. Her, D. Evans, D.T. Saenz, E.M. Poeschla, D. Hook, G. Georg, L.J. Maher, High-throughput screening for growth inhibitors using a yeast model of familial paraganglioma. PLoS ONE 8(2), 1\u201313 (2013). https:\/\/doi.org\/10.1371\/journal.pone.0056827","journal-title":"PLoS ONE"},{"key":"2858_CR28","doi-asserted-by":"publisher","unstructured":"E. Barth, G. Albuszies, K. Baumgart, M. Matejovic, U. Wachter, J. Vogt, P. Radermacher, E. Calzia: Glucose metabolism and catecholamines. Crit. Care Med. 35(9 SUPPL.) (2007). https:\/\/doi.org\/10.1097\/01.CCM.0000278047.06965.20","DOI":"10.1097\/01.CCM.0000278047.06965.20"},{"issue":"1","key":"2858_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-017-00467-3","volume":"7","author":"S Wu","year":"2017","unstructured":"S. Wu, W. Chen, L. Shen, L. Xu, A. Zhu, Y. Huang, Risk factors of post-operative severe hyperlactatemia and lactic acidosis following laparoscopic resection for pheochromocytoma. Sci. Rep. 7(1), 1\u20137 (2017). https:\/\/doi.org\/10.1038\/s41598-017-00467-3","journal-title":"Sci. Rep."},{"issue":"6","key":"2858_CR30","doi-asserted-by":"publisher","first-page":"1376","DOI":"10.1038\/s41366-020-0565-z","volume":"44","author":"N Vogelzangs","year":"2020","unstructured":"N. Vogelzangs, C.J. van der Kallen, M.M. van Greevenbroek, B.W. van der Kolk, J.W. Jocken, G.H. Goossens, N.C. Schaper, R.M. Henry, S.J. Eussen, A. Valsesia, T. Hankemeier, A. Astrup, W.H. Saris, C.D. Stehouwer, E.E. Blaak, I.C. Arts, Metabolic profiling of tissue-specific insulin resistance in human obesity: results from the Diogenes study and the Maastricht Study. Int. J. Obes. 44(6), 1376\u20131386 (2020). https:\/\/doi.org\/10.1038\/s41366-020-0565-z","journal-title":"Int. J. Obes."},{"issue":"4","key":"2858_CR31","doi-asserted-by":"publisher","first-page":"4","DOI":"10.7759\/cureus.4551","volume":"11","author":"JA Ronen","year":"2019","unstructured":"J.A. Ronen, M. Gavin, M.D. Ruppert, A.N. Peiris, Glycemic disturbances in pheochromocytoma and paraganglioma. Cureus 11(4), 4\u20139 (2019). https:\/\/doi.org\/10.7759\/cureus.4551","journal-title":"Cureus"},{"key":"2858_CR32","unstructured":"J. Berg, J. Tymoczko, L. Stryer: Diabetes Is a Common Metabolic Disease Often Resulting from Obesity. In: G.J. Gatto (ed.) Biochemistry, chapter 27. 7 edn. (W. H. Freeman and Company, New York, 2012)"},{"issue":"8","key":"2858_CR33","doi-asserted-by":"publisher","first-page":"2311","DOI":"10.2337\/db15-1272","volume":"65","author":"R Yan-Do","year":"2016","unstructured":"R. Yan-Do, E. Duong, J.E. Manning Fox, X. Dai, K. Suzuki, S. Khan, A. Bautista, M. Ferdaoussi, J. Lyon, X. Wu, S. Cheley, P.E. MacDonald, M. Braun, A glycine-insulin autocrine feedback loop enhances insulin secretion from human \u03b2-cells and is impaired in type 2 diabetes. Diabetes 65(8), 2311\u20132321 (2016). https:\/\/doi.org\/10.2337\/db15-1272","journal-title":"Diabetes"},{"issue":"2","key":"2858_CR34","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1002\/jcsm.12270","volume":"9","author":"MP Cala","year":"2018","unstructured":"M.P. Cala, M.T. Agull\u00f3-Ortu\u00f1o, E. Prieto-Garcia, C. Gonz\u00e1lez-Riano, L. Parrilla-Rubio, C. Barbas, C.V. D\u00edaz-Garcia, A. Garcial, C. Pernaut, J. Adeva, M.C. Riesco, F.J. Rup\u00e9rez, J.A. Lopez-Martin, Multiplatform plasma fingerprinting in cancer cachexia: a pilot observational and translational study. J. Cachexia Sarcopenia Muscle 9(2), 348\u2013357 (2018). https:\/\/doi.org\/10.1002\/jcsm.12270","journal-title":"J. Cachexia Sarcopenia Muscle"},{"issue":"5","key":"2858_CR35","doi-asserted-by":"publisher","first-page":"1213","DOI":"10.1016\/j.mehy.2006.04.048","volume":"67","author":"GP Bongaerts","year":"2006","unstructured":"G.P. Bongaerts, H.K. van Halteren, C.A. Verhagen, D.J. Wagener, Cancer cachexia demonstrates the energetic impact of gluconeogenesis in human metabolism. Med. Hypotheses 67(5), 1213\u20131222 (2006). https:\/\/doi.org\/10.1016\/j.mehy.2006.04.048","journal-title":"Med. Hypotheses"},{"issue":"4","key":"2858_CR36","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1007\/s00774-018-0959-3","volume":"37","author":"SH Lee","year":"2019","unstructured":"S.H. Lee, M.K. Kwak, S.H. Ahn, H. Kim, Y.Y. Cho, S. Suh, K.H. Song, J.M. Koh, J.H. Kim, B.J. Kim, Change of skeletal muscle mass in patients with pheochromocytoma. J. Bone Miner. Metab. 37(4), 694\u2013702 (2019). https:\/\/doi.org\/10.1007\/s00774-018-0959-3","journal-title":"J. Bone Miner. Metab."}],"container-title":["Endocrine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12020-021-02858-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12020-021-02858-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12020-021-02858-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T07:27:58Z","timestamp":1642404478000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12020-021-02858-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,18]]},"references-count":36,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["2858"],"URL":"https:\/\/doi.org\/10.1007\/s12020-021-02858-z","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-671318\/v1","asserted-by":"object"}]},"ISSN":["1355-008X","1559-0100"],"issn-type":[{"value":"1355-008X","type":"print"},{"value":"1559-0100","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,18]]},"assertion":[{"value":"29 June 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The study protocol was approved by local ethical committees of participating centers (Ethics Committee Arnhem-Nijmegen file number 2011-334). The study conformed to the Declaration of Helsinki.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"Written informed consent was obtained from all participants.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate and publish"}}]}}