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Evidence showed that the metabolite profile in serum can potentially act as a marker for parasitic disease diagnosis and evaluate disease progression and prognosis. However, the serum metabolome in patients with\n                      <jats:italic>Schistosoma japonicum<\/jats:italic>\n                      infection is not well defined. In this study, we investigated the metabolite profiles of patients with chronic and with advanced\n                      <jats:italic>S. japonicum<\/jats:italic>\n                      infection.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      The sera of 33 chronic\n                      <jats:italic>S. japonicum<\/jats:italic>\n                      patients, 15 patients with advanced schistosomiasis and 17 healthy volunteers were collected. Samples were extracted for metabolites and analyzed with ultra-performance liquid chromatography-mass spectrometry (UPLC-MS).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We observed significant differences in metabolite profiles in positive and negative ion modes between patients with advanced and chronic\n                      <jats:italic>S. japonicum<\/jats:italic>\n                      infection. In patients with chronic\n                      <jats:italic>S. japonicum<\/jats:italic>\n                      infection, 199 metabolites were significantly upregulated while 207 metabolites were downregulated in advanced infection. These differential metabolites were mainly concentrated in steroid hormone biosynthesis, cholesterol metabolism and bile secretion pathways. We also found that certain bile acid levels were significantly upregulated in the progression from chronic to advanced\n                      <jats:italic>S. japonicum<\/jats:italic>\n                      infection. In receiver operator characteristic (ROC) analysis, we identified three metabolites with area under the curve (AUC) &gt; 0.8, including glycocholic (GCA), glycochenodeoxycholate (GCDCA) and taurochenodeoxycholic acid (TCDCA) concentrated in cholesterol metabolism, biliary secretion and primary bile acid biosynthesis.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      This study provides evidence that GCA, GCDCA and TCDCA can potentially act as novel metabolite biomarkers to distinguish patients in different stages of\n                      <jats:italic>S. japonicum<\/jats:italic>\n                      infection. This study will contribute to the understanding of the metabolite mechanisms of the transition from chronic to advanced\n                      <jats:italic>S. japonicum<\/jats:italic>\n                      infection, although more studies are needed to validate this potential role and explore the underlying mechanisms.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Graphical Abstract<\/jats:title>\n                  <\/jats:sec>","DOI":"10.1186\/s13071-024-06429-9","type":"journal-article","created":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T06:02:33Z","timestamp":1724133753000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Metabolomics analysis of patients with Schistosoma japonicum infection based on UPLC-MS method"],"prefix":"10.1186","volume":"17","author":[{"given":"Junhui","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingzi","family":"Ming","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,20]]},"reference":[{"key":"6429_CR1","first-page":"w13727","volume":"142","author":"J Utzinger","year":"2012","unstructured":"Utzinger J, Becker SL, Knopp S, Blum J, Neumayr AL, Keiser J. 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