<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Midttun O</submitter><funding>NIEHS NIH HHS</funding><funding>NCI NIH HHS</funding><funding>National Health and Medical Research Council</funding><funding>Wellcome Trust</funding><funding>NIH HHS</funding><funding>Australian National Health and Medical Research Council</funding><funding>CDC HHS</funding><pagination>1011</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9849351</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13(1)</volume><pubmed_abstract>Circulating concentrations of metabolites (collectively called kynurenines) in the kynurenine pathway of tryptophan metabolism increase during inflammation, particularly in response to interferon-gamma (IFN-γ). Neopterin and the kynurenine/tryptophan ratio (KTR) are IFN-γ induced inflammatory markers, and together with C-reactive protein (CRP) and kynurenines they are associated with various diseases, but comprehensive data on the strength of associations of inflammatory markers with circulating concentrations of kynurenines are lacking. We measured circulating concentrations of neopterin, CRP, tryptophan and seven kynurenines in 5314 controls from 20 cohorts in the Lung Cancer Cohort Consortium (LC3). The associations of neopterin, KTR and CRP with kynurenines were investigated using regr</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>A cross-sectional study of inflammatory markers as determinants of circulating kynurenines in the Lung Cancer Cohort Consortium.</pubmed_title><pmcid>PMC9849351</pmcid><funding_grant_id>UM1 CA182910</funding_grant_id><funding_grant_id>396414</funding_grant_id><funding_grant_id>U01 CA167552</funding_grant_id><funding_grant_id>Intramural Research Program of the U.S. National Cancer Institute</funding_grant_id><funding_grant_id>UM1 CA173640</funding_grant_id><funding_grant_id>HL26490</funding_grant_id><funding_grant_id>CA34944</funding_grant_id><funding_grant_id>CA40360</funding_grant_id><funding_grant_id>1U1CA155340</funding_grant_id><funding_grant_id>UM1CA182876</funding_grant_id><funding_grant_id>U01 CA182934</funding_grant_id><funding_grant_id>CA097193</funding_grant_id><funding_grant_id>HL34595</funding_grant_id><funding_grant_id>P30 CA16087</funding_grant_id><funding_grant_id>HHSN268201600003C</funding_grant_id><funding_grant_id>HHSN268201600001C</funding_grant_id><funding_grant_id>P30 ES000260</funding_grant_id><funding_grant_id>U01 CA164973</funding_grant_id><funding_grant_id>U01 CA202979</funding_grant_id><funding_grant_id>U01CA202979</funding_grant_id><funding_grant_id>209057</funding_grant_id><funding_grant_id>P01 CA87969</funding_grant_id><funding_grant_id>R01CA144034</funding_grant_id><funding_grant_id>1074383</funding_grant_id><funding_grant_id>1050198</funding_grant_id><funding_grant_id>NU58DP006333</funding_grant_id><funding_grant_id>HHSN268201600002C</funding_grant_id><funding_grant_id>P50 CA127003</funding_grant_id><funding_grant_id>HHSN268201600018C</funding_grant_id><funding_grant_id>U19 CA203654</funding_grant_id><funding_grant_id>HHSN268201600004C</funding_grant_id><funding_grant_id>UM1 CA186107</funding_grant_id><pubmed_authors>Cai Q</pubmed_authors><pubmed_authors>Huang WY</pubmed_authors><pubmed_authors>Sesso HD</pubmed_authors><pubmed_authors>Fanidi A</pubmed_authors><pubmed_authors>Prentice R</pubmed_authors><pubmed_authors>Ulvik A</pubmed_authors><pubmed_authors>Le Marchand L</pubmed_authors><pubmed_authors>Weinstein SJ</pubmed_authors><pubmed_authors>Ueland PM</pubmed_authors><pubmed_authors>Koh WP</pubmed_authors><pubmed_authors>Visvanathan K</pubmed_authors><pubmed_authors>Zahed H</pubmed_authors><pubmed_authors>Langhammer A</pubmed_authors><pubmed_authors>Freedman ND</pubmed_authors><pubmed_authors>Giles GG</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Midttun O</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Behndig AF</pubmed_authors><pubmed_authors>Sorgjerd EP</pubmed_authors><pubmed_authors>Yuan JM</pubmed_authors><pubmed_authors>Brennan P</pubmed_authors><pubmed_authors>Sandsveden M</pubmed_authors><pubmed_authors>Shu XO</pubmed_authors><pubmed_authors>Meyer K</pubmed_authors><pubmed_authors>Chen C</pubmed_authors><pubmed_authors>Zheng W</pubmed_authors><pubmed_authors>Arslan AA</pubmed_authors><pubmed_authors>Manjer J</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Johansson M</pubmed_authors><pubmed_authors>Stevens VL</pubmed_authors><pubmed_authors>Gaziano JM</pubmed_authors><pubmed_authors>Robbins HA</pubmed_authors></additional><is_claimable>false</is_claimable><name>A cross-sectional study of inflammatory markers as determinants of circulating kynurenines in the Lung Cancer Cohort Consortium.</name><description>Circulating concentrations of metabolites (collectively called kynurenines) in the kynurenine pathway of tryptophan metabolism increase during inflammation, particularly in response to interferon-gamma (IFN-γ). Neopterin and the kynurenine/tryptophan ratio (KTR) are IFN-γ induced inflammatory markers, and together with C-reactive protein (CRP) and kynurenines they are associated with various diseases, but comprehensive data on the strength of associations of inflammatory markers with circulating concentrations of kynurenines are lacking. We measured circulating concentrations of neopterin, CRP, tryptophan and seven kynurenines in 5314 controls from 20 cohorts in the Lung Cancer Cohort Consortium (LC3). The associations of neopterin, KTR and CRP with kynurenines were investigated using regr</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2025-04-04T08:29:03.846Z</modification><creation>2025-02-19T03:59:48.404Z</creation></dates><accession>S-EPMC9849351</accession><cross_references><pubmed>36653422</pubmed><doi>10.1038/s41598-023-28135-9</doi></cross_references></HashMap>