001     300115
005     20250326112401.0
024 7 _ |a 10.1016/j.diabres.2025.112108
|2 doi
024 7 _ |a pmid:40122179
|2 pmid
024 7 _ |a 0168-8227
|2 ISSN
024 7 _ |a 1872-8227
|2 ISSN
037 _ _ |a DKFZ-2025-00613
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Chen, Li-Ju
|0 P:(DE-He78)ad44271ecf6b1eec3e0d0089c66dfdbe
|b 0
|e First author
|u dkfz
245 _ _ |a Comparison of the metabolic profiles and their cardiovascular event risks of metformin users versus insulin users. A cohort study of people with type 2 diabetes from the UK Biobank.
260 _ _ |a Amsterdam [u.a.]
|c 2025
|b Elsevier Science
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 1742897953_13845
|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
500 _ _ |a #EA:C070#LA:C070#
520 _ _ |a The aims of this study were to compare the metabolic profiles of type 2 diabetes mellitus patients with metformin and insulin monotherapy, to assess the associations of metabolites with major adverse cardiovascular events (MACE) distinctly for metformin-only and insulin-only users, and to test for effect modification by the glucose-lowering treatment.We included 3,058 metformin-only and 558 insulin-only users from the UK Biobank. Mean concentrations of 249 metabolites of metformin and insulin users were compared with Cohen's d, their associations with MACE were assessed with Cox regression and interaction terms were tested.Mean VLDL size, HDL size, and concentrations of large and very large HDL molecules differed between insulin-only and metformin-only users. Overall, 75 metabolomic biomarkers were significantly associated with MACE in insulin-only users and 57 in metformin-only users. Significant interaction terms were observed between treatment group and albumin (protective in metformin users only) and 86 lipids/fatty acids, which were all statistically significantly associated with MACE among insulin users only.Metformin and insulin users have different metabolic profiles and a consistent pattern emerged that the metabolic profile of metformin users is favorable compared to the one of insulin users due to a lower associated MACE risk.
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a Diabetes mellitus
|2 Other
650 _ 7 |a Insulin
|2 Other
650 _ 7 |a Lipids
|2 Other
650 _ 7 |a Major adverse cardiovascular event
|2 Other
650 _ 7 |a Metabolomics
|2 Other
650 _ 7 |a Metformin
|2 Other
700 1 _ |a Herder, Christian
|b 1
700 1 _ |a Xie, Ruijie
|0 P:(DE-He78)7089188e1b7bdb788ba48ba96f21df07
|b 2
|u dkfz
700 1 _ |a Brenner, Hermann
|0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
|b 3
|u dkfz
700 1 _ |a Schöttker, Ben
|0 P:(DE-He78)c67a12496b8aac150c0eef888d808d46
|b 4
|e Last author
|u dkfz
773 _ _ |a 10.1016/j.diabres.2025.112108
|g Vol. 222, p. 112108 -
|0 PERI:(DE-600)2004910-9
|p 112108
|t Diabetes research and clinical practice
|v 222
|y 2025
|x 0168-8227
909 C O |o oai:inrepo02.dkfz.de:300115
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)ad44271ecf6b1eec3e0d0089c66dfdbe
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)7089188e1b7bdb788ba48ba96f21df07
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)c67a12496b8aac150c0eef888d808d46
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-313
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Krebsrisikofaktoren und Prävention
|x 0
914 1 _ |y 2025
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2024-12-10
|w ger
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b DIABETES RES CLIN PR : 2022
|d 2024-12-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2024-12-10
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2024-12-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2024-12-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2024-12-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2024-12-10
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-10
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b DIABETES RES CLIN PR : 2022
|d 2024-12-10
920 2 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
920 1 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
920 0 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C070-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21