Home > Publications database > An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children. > print |
001 | 143167 | ||
005 | 20240229112542.0 | ||
024 | 7 | _ | |a 10.1038/s41598-019-41449-x |2 doi |
024 | 7 | _ | |a pmid:30911015 |2 pmid |
024 | 7 | _ | |a altmetric:57666899 |2 altmetric |
037 | _ | _ | |a DKFZ-2019-00766 |
041 | _ | _ | |a eng |
082 | _ | _ | |a 600 |
100 | 1 | _ | |a Hellmuth, Christian |b 0 |
245 | _ | _ | |a An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children. |
260 | _ | _ | |a [London] |c 2019 |b Macmillan Publishers Limited, part of Springer Nature |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1554105602_27789 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a Childhood obesity prevalence is rising in countries worldwide. A variety of etiologic factors contribute to childhood obesity but little is known about underlying biochemical mechanisms. We performed an individual participant meta-analysis including 1,020 pre-pubertal children from three European studies and investigated the associations of 285 metabolites measured by LC/MS-MS with BMI z-score, height, weight, HOMA, and lipoprotein concentrations. Seventeen metabolites were significantly associated with BMI z-score. Sphingomyelin (SM) 32:2 showed the strongest association with BMI z-score (P = 4.68 × 10-23) and was also closely related to weight, and less strongly to height and LDL, but not to HOMA. Mass spectrometric analyses identified SM 32:2 as myristic acid containing SM d18:2/14:0. Thirty-five metabolites were significantly associated to HOMA index. Alanine showed the strongest positive association with HOMA (P = 9.77 × 10-16), while acylcarnitines and non-esterified fatty acids were negatively associated with HOMA. SM d18:2/14:0 is a powerful marker for molecular changes in childhood obesity. Tracing back the origin of SM 32:2 to dietary source in combination with genetic predisposition will path the way for early intervention programs. Metabolic profiling might facilitate risk prediction and personalized interventions in overweight children. |
536 | _ | _ | |a 313 - Cancer risk factors and prevention (POF3-313) |0 G:(DE-HGF)POF3-313 |c POF3-313 |f POF III |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
700 | 1 | _ | |a Kirchberg, Franca F |b 1 |
700 | 1 | _ | |a Brandt, Stephanie |b 2 |
700 | 1 | _ | |a Moß, Anja |b 3 |
700 | 1 | _ | |a Walter, Viola |0 P:(DE-He78)6c2a1ea8cce3580fe2d1c1df120a92b9 |b 4 |u dkfz |
700 | 1 | _ | |a Rothenbacher, Dietrich |b 5 |
700 | 1 | _ | |a Brenner, Hermann |0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 |b 6 |u dkfz |
700 | 1 | _ | |a Grote, Veit |b 7 |
700 | 1 | _ | |a Gruszfeld, Dariusz |b 8 |
700 | 1 | _ | |a Socha, Piotr |b 9 |
700 | 1 | _ | |a Closa-Monasterolo, Ricardo |b 10 |
700 | 1 | _ | |a Escribano, Joaquin |b 11 |
700 | 1 | _ | |a Luque, Veronica |0 0000-0003-2615-8175 |b 12 |
700 | 1 | _ | |a Verduci, Elvira |b 13 |
700 | 1 | _ | |a Mariani, Benedetta |b 14 |
700 | 1 | _ | |a Langhendries, Jean-Paul |b 15 |
700 | 1 | _ | |a Poncelet, Pascale |b 16 |
700 | 1 | _ | |a Heinrich, Joachim |b 17 |
700 | 1 | _ | |a Lehmann, Irina |0 0000-0001-8875-5587 |b 18 |
700 | 1 | _ | |a Standl, Marie |b 19 |
700 | 1 | _ | |a Uhl, Olaf |b 20 |
700 | 1 | _ | |a Koletzko, Berthold |b 21 |
700 | 1 | _ | |a Thiering, Elisabeth |b 22 |
700 | 1 | _ | |a Wabitsch, Martin |b 23 |
773 | _ | _ | |a 10.1038/s41598-019-41449-x |g Vol. 9, no. 1, p. 5053 |0 PERI:(DE-600)2615211-3 |n 1 |p 5053 |t Scientific reports |v 9 |y 2019 |x 2045-2322 |
909 | C | O | |o oai:inrepo02.dkfz.de:143167 |p VDB |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 4 |6 P:(DE-He78)6c2a1ea8cce3580fe2d1c1df120a92b9 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 6 |6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 |
913 | 1 | _ | |a DE-HGF |l Krebsforschung |1 G:(DE-HGF)POF3-310 |0 G:(DE-HGF)POF3-313 |2 G:(DE-HGF)POF3-300 |v Cancer risk factors and prevention |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Gesundheit |
914 | 1 | _ | |y 2019 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b SCI REP-UK : 2017 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0320 |2 StatID |b PubMed Central |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Blind peer review |
915 | _ | _ | |a Creative Commons Attribution CC BY (No Version) |0 LIC:(DE-HGF)CCBYNV |2 V:(DE-HGF) |b DOAJ |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1040 |2 StatID |b Zoological Record |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
920 | 1 | _ | |0 I:(DE-He78)C070-20160331 |k C070 |l Klinische Epidemiologie und Alternsforschung |x 0 |
920 | 1 | _ | |0 I:(DE-He78)C120-20160331 |k C120 |l Präventive Onkologie |x 1 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)C070-20160331 |
980 | _ | _ | |a I:(DE-He78)C120-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|