{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T00:16:58Z","timestamp":1723421818208},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T00:00:00Z","timestamp":1719532800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T00:00:00Z","timestamp":1719532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"National Cancer Institute"}],"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>Burkitt lymphoma (BL) is an aggressive non-Hodgkin lymphoma associated with <jats:italic>Plasmodium falciparum<\/jats:italic> and Epstein-Barr virus, both of which affect metabolic pathways. The metabolomic patterns of BL is unknown.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Materials and methods<\/jats:title>\n                <jats:p>We measured 627 metabolites in pre-chemotherapy treatment plasma samples from 25 male children (6\u201311 years) with BL and 25 cancer-free area- and age-frequency-matched male controls from the Epidemiology of Burkitt Lymphoma in East African Children and Minors study in Uganda using liquid chromatography-tandem mass spectrometry. Unconditional, age-adjusted logistic regression analysis was used to estimate odds ratios (ORs) and their 95% confidence intervals (CIs) for the BL association with 1-standard deviation increase in the log-metabolite concentration, adjusting for multiple comparisons using false discovery rate (FDR) thresholds and Bonferroni correction.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Compared to controls, levels for 42 metabolite concentrations differed in BL cases (FDR\u2009&lt;\u20090.001), including triacylglyceride (18:0_38:6), alpha-aminobutyric acid (AABA), ceramide (d18:1\/20:0), phosphatidylcholine ae C40:6 and phosphatidylcholine C38:6 as the top signals associated with BL (ORs\u2009=\u20096.9 to 14.7, <jats:italic>P<\/jats:italic>\u2009&lt;\u20092.4\u271510<jats:sup>\u2212\u20094<\/jats:sup>). Two metabolites (triacylglyceride (18:0_38:6) and AABA) selected using stepwise logistic regression discriminated BL cases from controls with an area under the curve of 0.97 (95% CI: 0.94, 1.00).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Our findings warrant further examination of plasma metabolites as potential biomarkers for BL risk\/diagnosis.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s11306-024-02130-1","type":"journal-article","created":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T09:02:58Z","timestamp":1719565378000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Plasma metabolites in childhood Burkitt lymphoma cases and cancer-free controls in Uganda"],"prefix":"10.1007","volume":"20","author":[{"given":"Jiaqi","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hadijah","family":"Nabalende","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. 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