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FältnamnIndikatorerMetadata
00008479naa a2200817 4500
001oai:lup.lub.lu.se:5122f7f3-ccf3-49b6-ba5b-e88f3459ee7e
003SwePub
008201214s2020 | |||||||||||000 ||eng|
009oai:DiVA.org:kth-289936
024a https://lup.lub.lu.se/record/5122f7f3-ccf3-49b6-ba5b-e88f3459ee7e2 URI
024a https://doi.org/10.1371/journal.pone.02423602 DOI
024a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2899362 URI
040 a (SwePub)lud (SwePub)kth
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
100a Obura, Morganu Academic Medical Center of University of Amsterdam (AMC),Amsterdam UMC - Vrije Universiteit Amsterdam,Amsterdam Univ Med Ctr, Locat VU Univ Med Ctr, Amsterdam Publ Hlth Res Inst, Epidemiol & Data Sci, Amsterdam, Netherlands.4 aut
2451 0a Post-load glucose subgroups and associated metabolic traits in individuals with type 2 diabetes : An IMI-DIRECT study
264 c 2020-11-30
264 1b Public Library of Science (PLoS),c 2020
500 a QC 20210211
520 a AIM: Subclasses of different glycaemic disturbances could explain the variation in characteristics of individuals with type 2 diabetes (T2D). We aimed to examine the association between subgroups based on their glucose curves during a five-point mixed-meal tolerance test (MMT) and metabolic traits at baseline and glycaemic deterioration in individuals with T2D. METHODS: The study included 787 individuals with newly diagnosed T2D from the Diabetes Research on Patient Stratification (IMI-DIRECT) Study. Latent class trajectory analysis (LCTA) was used to identify distinct glucose curve subgroups during a five-point MMT. Using general linear models, these subgroups were associated with metabolic traits at baseline and after 18 months of follow up, adjusted for potential confounders. RESULTS: At baseline, we identified three glucose curve subgroups, labelled in order of increasing glucose peak levels as subgroup 1-3. Individuals in subgroup 2 and 3 were more likely to have higher levels of HbA1c, triglycerides and BMI at baseline, compared to those in subgroup 1. At 18 months (n = 651), the beta coefficients (95% CI) for change in HbA1c (mmol/mol) increased across subgroups with 0.37 (-0.18-1.92) for subgroup 2 and 1.88 (-0.08-3.85) for subgroup 3, relative to subgroup 1. The same trend was observed for change in levels of triglycerides and fasting glucose. CONCLUSIONS: Different glycaemic profiles with different metabolic traits and different degrees of subsequent glycaemic deterioration can be identified using data from a frequently sampled mixed-meal tolerance test in individuals with T2D. Subgroups with the highest peaks had greater metabolic risk.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Endokrinologi och diabetes0 (SwePub)302052 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Endocrinology and Diabetes0 (SwePub)302052 hsv//eng
700a Beulens, Joline W.J.u Academic Medical Center of University of Amsterdam (AMC),Amsterdam UMC - Vrije Universiteit Amsterdam,University Medical Center Utrecht,Amsterdam Univ Med Ctr, Locat VU Univ Med Ctr, Amsterdam Publ Hlth Res Inst, Epidemiol & Data Sci, Amsterdam, Netherlands.;Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands.4 aut
700a Slieker, Rodericku Leiden University Medical Centre,Amsterdam UMC - Vrije Universiteit Amsterdam,Academic Medical Center of University of Amsterdam (AMC)4 aut
700a Koopman, Anitra D.M.u Academic Medical Center of University of Amsterdam (AMC)4 aut
700a Hoekstra, Trynkeu Amsterdam UMC - Vrije Universiteit Amsterdam,Academic Medical Center of University of Amsterdam (AMC)4 aut
700a Nijpels, Gielu Academic Medical Center of University of Amsterdam (AMC),Amsterdam UMC - Vrije Universiteit Amsterdam4 aut
700a Elders, Petrau Amsterdam UMC - Vrije Universiteit Amsterdam,Academic Medical Center of University of Amsterdam (AMC)4 aut
700a Koivula, Robert W.u Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,University of Oxford4 aut0 (Swepub:lu)med-rkl
700a Kurbasic, Azrau Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups4 aut0 (Swepub:lu)mats-aku
700a Laakso, Markkuu University of Eastern Finland,Kuopio University Hospital4 aut
700a Hansen, Tue H.u University of Copenhagen,Slagelse Hospital4 aut
700a Ridderstråle, Martinu University of Copenhagen4 aut0 (Swepub:lu)endo-mri
700a Hansen, Torbenu University of Copenhagen,University of Southern Denmark4 aut
700a Pavo, Imreu Eli Lilly Regional Operations G.m.b.H.4 aut
700a Forgie, Ianu University of Dundee,Ninewells Hospital and Medical School4 aut
700a Jablonka, Berndu Sanofi-Aventis Deutschland GmbH4 aut
700a Ruetten, Hartmutu Sanofi-Aventis Deutschland GmbH4 aut
700a Mari, Andreau CNR Institute of Biomedical Engineering4 aut
700a McCarthy, Mark I.u University of Oxford,Wellcome Trust Centre for Human Genetics4 aut
700a Walker, Marku University of Newcastle upon Tyne4 aut
700a Heggie, Alisonu University of Newcastle upon Tyne4 aut
700a McDonald, Timothy J.u University of Exeter,Royal Devon and Exeter NHS Foundation Trust4 aut
700a Perry, Mandy H.u Royal Devon and Exeter NHS Foundation Trust4 aut
700a De Masi, Federicou Technical University of Denmark4 aut
700a Brunak, Sørenu University of Copenhagen,Technical University of Denmark4 aut
700a Mahajan, Anubhau Wellcome Trust Centre for Human Genetics4 aut
700a Giordano, Giuseppe N.u Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups4 aut0 (Swepub:lu)med-geg
700a Kokkola, Tarjau Kuopio University Hospital,University of Eastern Finland4 aut
700a Dermitzakis, Emmanouilu University of Geneva,Swiss Institute for Bioinformatics (SIB)4 aut
700a Viñuela, Anau Swiss Institute for Bioinformatics (SIB),University of Geneva4 aut
700a Pedersen, Olufu University of Copenhagen4 aut
700a Schwenk, Jochen M.u KTH,KTH Royal Institute of Technology,Affinitets-proteomik,Science for Life Laboratory, SciLifeLab4 aut0 (Swepub:kth)u1h7wtme
700a Adamski, Jureku Technical University of Munich,National University of Singapore,Helmholtz Zentrum München,University of Oxford4 aut
700a Teare, Harriet J.A.u University of Oxford4 aut
700a Pearson, Ewan R.u University of Dundee4 aut
700a Franks, Paul W.u Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Harvard University,University of Oxford4 aut0 (Swepub:lu)med-plf
700a 't Hart, Leen M.u Leiden University Medical Centre,Amsterdam UMC - Vrije Universiteit Amsterdam,Academic Medical Center of University of Amsterdam (AMC)4 aut
700a Rutters, Femkeu Academic Medical Center of University of Amsterdam (AMC),Amsterdam UMC - Vrije Universiteit Amsterdam,Amsterdam Univ Med Ctr, Locat VU Univ Med Ctr, Amsterdam Publ Hlth Res Inst, Epidemiol & Data Sci, Amsterdam, Netherlands.4 aut
710a Academic Medical Center of University of Amsterdam (AMC)b Amsterdam UMC - Vrije Universiteit Amsterdam4 org
710a IMI DIRECT Consortium
773t PLoS ONEd : Public Library of Science (PLoS)g 15:11q 15:11x 1932-6203
856u http://dx.doi.org/10.1371/journal.pone.0242360x freey FULLTEXT
856u https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0242360&type=printable
856u https://doi.org/10.1371/journal.pone.0242360y Fulltext
8564 8u https://lup.lub.lu.se/record/5122f7f3-ccf3-49b6-ba5b-e88f3459ee7e
8564 8u https://doi.org/10.1371/journal.pone.0242360
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289936

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