{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T06:31:12Z","timestamp":1788849072641,"version":"build-2803163510"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T00:00:00Z","timestamp":1658275200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T00:00:00Z","timestamp":1658275200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"PetBiomics Ltd."},{"name":"LABOKLIN GmbH & Co KG"},{"name":"University of Helsinki including Helsinki University Central Hospital"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Metabolomics"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Introduction<\/jats:title>\n                <jats:p>Metabolomics studies in canine endocrine abnormalities are sparse and basic information on these abnormalities must be generated.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Objectives<\/jats:title>\n                <jats:p>To characterize the metabolic changes associated with elevated fructosamine, reflecting poor glycemic control, and low thyroxine, a thyroid hormone controlling metabolism.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Leftovers of clinical serum samples; 25 controls, 79 high fructosamine, and 47 low thyroxine, were analyzed using <jats:sup>1<\/jats:sup>H NMR and differences were evaluated using Firth logistic regression.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Both high fructosamine and low thyroxine were associated with changes in concentrations of multiple metabolites, including glycoprotein acetyls and lipids.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>These findings suggest promising makers for further research and clinical validation.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s11306-022-01917-4","type":"journal-article","created":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T23:02:30Z","timestamp":1658358150000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Metabolic changes associated with two endocrine abnormalities in dogs: elevated fructosamine and low thyroxine"],"prefix":"10.1007","volume":"18","author":[{"given":"Claudia","family":"Ottka","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jenni","family":"Puurunen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisabeth","family":"M\u00fcller","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Corinna","family":"Weber","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruth","family":"Klein","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hannes","family":"Lohi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,7,20]]},"reference":[{"issue":"12","key":"1917_CR1","doi-asserted-by":"publisher","first-page":"2298","DOI":"10.1007\/s00125-019-05001-w","volume":"62","author":"AV Ahola-Olli","year":"2019","unstructured":"Ahola-Olli, A. V., Mustelin, L., Kalimeri, M., Kettunen, J., Jokelainen, J., Auvinen, J., et al. (2019). Circulating metabolites and the risk of type 2 diabetes: A prospective study of 11,896 young adults from four Finnish cohorts. Diabetologia, 62(12), 2298\u20132309. https:\/\/doi.org\/10.1007\/s00125-019-05001-w","journal-title":"Diabetologia"},{"issue":"2","key":"1917_CR2","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/s11306-020-1638-7","volume":"16","author":"G Carlos","year":"2020","unstructured":"Carlos, G., dos Santos, F. P., & Fr\u00f6ehlich, P. E. (2020). Canine metabolomics advances. Metabolomics, 16(2), 16. https:\/\/doi.org\/10.1007\/s11306-020-1638-7","journal-title":"Metabolomics"},{"issue":"18","key":"1917_CR3","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1161\/CIRCULATIONAHA.111.067827","volume":"125","author":"S Cheng","year":"2012","unstructured":"Cheng, S., Rhee, E. P., Larson, M. G., Lewis, G. D., McCabe, E. L., Shen, D., et al. (2012). Metabolite profiling identifies pathways associated with metabolic risk in humans. Circulation, 125(18), 2222\u20132231. https:\/\/doi.org\/10.1161\/CIRCULATIONAHA.111.067827","journal-title":"Circulation"},{"issue":"6","key":"1917_CR4","doi-asserted-by":"publisher","first-page":"1647","DOI":"10.1093\/ije\/dyq126","volume":"39","author":"SO Crawford","year":"2010","unstructured":"Crawford, S. O., Hoogeveen, R. C., Brancati, F. L., Astor, B. C., Ballantyne, C. M., Schmidt, M. I., & Young, J. H. (2010). Association of blood lactate with type 2 diabetes: The Atherosclerosis Risk in Communities Carotid MRI Study. International Journal of Epidemiology, 39(6), 1647\u20131655. https:\/\/doi.org\/10.1093\/ije\/dyq126","journal-title":"International Journal of Epidemiology"},{"issue":"1","key":"1917_CR5","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1093\/biomet\/80.1.27","volume":"80","author":"D Firth","year":"1993","unstructured":"Firth, D. (1993). Bias reduction of maximum likelihood estimates. Biometrika, 80(1), 27\u201338. https:\/\/doi.org\/10.1093\/biomet\/80.1.27","journal-title":"Biometrika"},{"issue":"5","key":"1917_CR6","doi-asserted-by":"publisher","first-page":"833","DOI":"10.2337\/dc15-2251","volume":"39","author":"M Guasch-Ferre","year":"2016","unstructured":"Guasch-Ferre, M., Hruby, A., Toledo, E., Clish, C. B., Martinez-Gonzalez, M. A., Salas-Salvado, J., & Hu, F. B. (2016). Metabolomics in prediabetes and diabetes: A systematic review and meta-analysis. Diabetes Care, 39(5), 833\u2013846. https:\/\/doi.org\/10.2337\/dc15-2251","journal-title":"Diabetes Care"},{"issue":"10","key":"1917_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/nu12103087","volume":"12","author":"M Hole\u010dek","year":"2020","unstructured":"Hole\u010dek, M. (2020). Why are branched-chain amino acids increased in starvation and diabetes? Nutrients, 12(10), 1\u201315. https:\/\/doi.org\/10.3390\/nu12103087","journal-title":"Nutrients"},{"issue":"4","key":"1917_CR8","doi-asserted-by":"publisher","first-page":"339","DOI":"10.3390\/metabo12040339","volume":"12","author":"CA Imbery","year":"2022","unstructured":"Imbery, C. A., Dieterle, F., Ottka, C., Weber, C., Schlotterbeck, G., M\u00fcller, E., et al. (2022a). Metabolomic abnormalities in serum from untreated and treated dogs with hyper- and hypoadrenocorticism. Metabolites, 12(4), 339. https:\/\/doi.org\/10.3390\/metabo12040339","journal-title":"Metabolites"},{"issue":"1","key":"1917_CR9","doi-asserted-by":"publisher","first-page":"5329","DOI":"10.1038\/s41598-022-09056-5","volume":"12","author":"CA Imbery","year":"2022","unstructured":"Imbery, C. A., Dieterle, F., Ottka, C., Weber, C., Schlotterbeck, G., M\u00fcller, E., et al. (2022b). Metabolomic serum abnormalities in dogs with hepatopathies. Scientific Reports, 12(1), 5329. https:\/\/doi.org\/10.1038\/s41598-022-09056-5","journal-title":"Scientific Reports"},{"issue":"3","key":"1917_CR10","doi-asserted-by":"publisher","first-page":"599","DOI":"10.2337\/diabetes.51.3.599","volume":"51","author":"M Krebs","year":"2002","unstructured":"Krebs, M., Krssak, M., Bernroider, E., Anderwald, C., Brehm, A., Meyerspeer, M., et al. (2002). Mechanism of amino acid-induced skeletal muscle insulin resistance in humans. Diabetes, 51(3), 599\u2013605. https:\/\/doi.org\/10.2337\/diabetes.51.3.599","journal-title":"Diabetes"},{"issue":"1","key":"1917_CR11","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1111\/j.1432-1033.1969.tb00672.x","volume":"10","author":"LA Menahan","year":"1969","unstructured":"Menahan, L. A., & Wieland, O. (1969). The role of thyroid function in the metabolism of perfused rat liver with particular reference to gluconeogenesis. European Journal of Biochemistry, 10(1), 188\u2013194. https:\/\/doi.org\/10.1111\/j.1432-1033.1969.tb00672.x","journal-title":"European Journal of Biochemistry"},{"issue":"10","key":"1917_CR12","doi-asserted-by":"publisher","first-page":"3315","DOI":"10.1210\/jcem.82.10.4296","volume":"82","author":"F Monzani","year":"1997","unstructured":"Monzani, F., Caraccio, N., Siciliano, G., Manca, L., Murri, L., & Ferrannini, E. (1997). Clinical and biochemical features of muscle dysfunction in subclinical hypothyroidism. The Journal of Clinical Endocrinology & Metabolism, 82(10), 3315\u20133318. https:\/\/doi.org\/10.1210\/jcem.82.10.4296","journal-title":"The Journal of Clinical Endocrinology & Metabolism"},{"key":"1917_CR13","volume-title":"Small animal internal medicine","author":"R Nelson","year":"2019","unstructured":"Nelson, R., & Couto, C. G. (2019). Small animal internal medicine (6th ed.). Elsevier.","edition":"6"},{"issue":"2","key":"1917_CR14","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/s11306-019-1477-6","volume":"15","author":"AL O\u2019Kell","year":"2019","unstructured":"O\u2019Kell, A. L., Garrett, T. J., Wasserfall, C., & Atkinson, M. A. (2019). Untargeted metabolomic analysis in non-fasted diabetic dogs by UHPLC\u2013HRMS. Metabolomics, 15(2), 15. https:\/\/doi.org\/10.1007\/s11306-019-1477-6","journal-title":"Metabolomics"},{"key":"1917_CR15","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1111\/vcp.12954","volume":"50","author":"C Ottka","year":"2021","unstructured":"Ottka, C., Vapalahti, K., Puurunen, J., Vahtera, L., & Lohi, H. (2021a). A novel canine nuclear magnetic resonance spectroscopy-based metabolomics platform: validation and sample handling. Veterinary Clinical Pathology, 50, 410\u2013426. https:\/\/doi.org\/10.1111\/vcp.12954","journal-title":"Veterinary Clinical Pathology"},{"issue":"6","key":"1917_CR16","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1007\/s11306-021-01803-5","volume":"17","author":"C Ottka","year":"2021","unstructured":"Ottka, C., Weber, C., M\u00fcller, E., & Lohi, H. (2021b). Serum NMR metabolomics uncovers multiple metabolic changes in phenobarbital-treated dogs. Metabolomics: Official Journal of the Metabolomic Society, 17(6), 54. https:\/\/doi.org\/10.1007\/s11306-021-01803-5","journal-title":"Metabolomics: Official Journal of the Metabolomic Society"},{"key":"1917_CR100","unstructured":"R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https:\/\/www.R-project.org\/"},{"issue":"9","key":"1917_CR17","doi-asserted-by":"publisher","first-page":"1781","DOI":"10.1039\/b910205a","volume":"134","author":"P Soininen","year":"2009","unstructured":"Soininen, P., Kangas, A. J., Wurtz, P., Tukiainen, T., Tynkkynen, T., Laatikainen, R., et al. (2009). High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism. The Analyst, 134(9), 1781\u20131785. https:\/\/doi.org\/10.1039\/b910205a","journal-title":"The Analyst"},{"key":"1917_CR18","volume-title":"Veterinary hematology and clinical chemistry","author":"MA Thrall","year":"2012","unstructured":"Thrall, M. A., Weiser, G., Allison, R. W., & Campbell, T. W. (2012). Veterinary hematology and clinical chemistry (2nd ed.). Wiley-Blackwell.","edition":"2"},{"issue":"10","key":"1917_CR19","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1016\/j.tem.2017.07.001","volume":"28","author":"J Tokarz","year":"2017","unstructured":"Tokarz, J., Haid, M., Cecil, A., Prehn, C., Artati, A., M\u00f6ller, G., & Adamski, J. (2017). Endocrinology meets metabolomics: Achievements, pitfalls, and challenges. Trends in Endocrinology & Metabolism, 28(10), 705\u2013721. https:\/\/doi.org\/10.1016\/j.tem.2017.07.001","journal-title":"Trends in Endocrinology & Metabolism"},{"issue":"4","key":"1917_CR20","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1038\/nm.2307","volume":"17","author":"TJ Wang","year":"2011","unstructured":"Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., et al. (2011). Metabolite profiles and the risk of developing diabetes. Nature Medicine, 17(4), 448\u2013453. https:\/\/doi.org\/10.1038\/nm.2307","journal-title":"Nature Medicine"},{"issue":"7","key":"1917_CR21","doi-asserted-by":"publisher","first-page":"1581","DOI":"10.1007\/s00125-018-4619-x","volume":"61","author":"P Welsh","year":"2018","unstructured":"Welsh, P., Rankin, N., Li, Q., Mark, P. B., W\u00fcrtz, P., Ala-Korpela, M., et al. (2018). Circulating amino acids and the risk of macrovascular, microvascular and mortality outcomes in individuals with type 2 diabetes: Results from the ADVANCE trial. Diabetologia, 61(7), 1581\u20131591. https:\/\/doi.org\/10.1007\/s00125-018-4619-x","journal-title":"Diabetologia"},{"issue":"9","key":"1917_CR22","doi-asserted-by":"publisher","first-page":"1084","DOI":"10.1093\/aje\/kwx016","volume":"186","author":"P W\u00fcrtz","year":"2017","unstructured":"W\u00fcrtz, P., Kangas, A. J., Soininen, P., Lawlor, D. A., Davey Smith, G., & Ala-Korpela, M. (2017). Quantitative serum nuclear magnetic resonance metabolomics in large-scale epidemiology: A primer on-omic technologies. American Journal of Epidemiology, 186(9), 1084\u20131096. https:\/\/doi.org\/10.1093\/aje\/kwx016","journal-title":"American Journal of Epidemiology"}],"container-title":["Metabolomics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11306-022-01917-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11306-022-01917-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11306-022-01917-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T05:26:07Z","timestamp":1661232367000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11306-022-01917-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,20]]},"references-count":23,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2022,8]]}},"alternative-id":["1917"],"URL":"https:\/\/doi.org\/10.1007\/s11306-022-01917-4","relation":{},"ISSN":["1573-3890"],"issn-type":[{"value":"1573-3890","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,20]]},"assertion":[{"value":"11 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 June 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 July 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Claudia Ottka and Jenni Puurunen were employees and Hannes Lohi the board director of PetBiomics Ltd.\u2014a company providing NMR metabolomics testing for dogs, at the time of manuscript preparation. Elisabeth M\u00fcller is the managing director and Corinna Weber and Ruth Klein heads of department of LABOKLIN\u2014a veterinary diagnostic laboratory.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"58"}}