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dc.contributor.authorHenninger, Josefin
dc.date.accessioned2022-02-08T09:13:07Z
dc.date.available2022-02-08T09:13:07Z
dc.date.issued2022-02-08
dc.identifier.isbn978-91-8009-614-0 (print)
dc.identifier.isbn978-91-8009-615-7 (PDF)
dc.identifier.urihttp://hdl.handle.net/2077/70224
dc.description.abstractABSTRACT Aims The overall aim of this doctoral thesis was to further examine the anthropometric, metabolic and adipose tissue dysfunctions, as well as explore novel metabolites, associated with type 2 diabetes mellitus (T2D), examining individuals both with and without known genetic predisposition to T2D. This thesis is part of the research conducted at Lundberg laboratory for diabetes research, Institute of Medicine, Sahlgrenska Academy, at Gothenburg University. In study I, we aimed to investigate if markers of adipose tissue dysfunction, as well as anthropometric and biochemical markers of glucose metabolism dysfunction, were present in subjects with a family history of T2D and controls. In study II, we aimed to identify predictive factors of deteriorating glucose tolerance in individuals with known genetic predisposition to T2D, using similar measures as in study I. In study III, we aimed to compare individuals with and without genetic predisposition to T2D. In study IV, we aimed to examine how, in addition to anthropometric and biochemical variables, adipose tissue distribution and morphology and non-targeted serum metabolites predict cardiometabolic profile. In study V, we further examined non-targeted serum metabolites and its associations to markers of glucose and insulin metabolism, as well as to adipose tissue morphology and distribution. Materials and methods (study I-V) In study I, we examined 17 first-degree relatives (FDR) and compared them to 17 controls without known genetic predisposition using anthropometric data, OGTT data and subcutaneous adipose tissue biopsy data. In study II, we explored predictive factors of deteriorating glucose tolerance in 138 FDR using anthropometric data, OGTT, IVGTT euglycemic clamp data as well as adipose tissue cell size. In study III, we compared 200 FDR to 73 controls in a cross-sectional manner, examining the same variables as described in study II. In study IV and V, we examine 53 male individuals with extensive clinical, biochemical and magnetic resonance imaging phenotyping, as well as targeted and non-targeted serum metabolites. Machine learning methods were used. Results (study I-V) In study I we found that FDR displayed adipocyte dysfunction and impaired insulin sensitivity, compared to controls. In study II, we found that the FDR that developed IGT and T2D at baseline displayed both markers of impaired insulin sensitivity and impaired insulin secretion, as well as adipose tissue dysfunction. In study III we found differences in several OGTT measurements between groups, indicating that OGTT can be an easy yet effective measure to assess glucose tolerance in high risk individuals. In study IV we found that visceral fat accumulation and age predicted ectopic fat storage in heart and liver, and found metabolites associated with a family history of T2D. In study V, we presented metabolites predicting markers of glucose and insulin metabolism, as well as markers of adipose tissue morphology and distribution. Conclusion In this doctoral thesis we further characterized the development of T2D in individuals genetically predisposed to the condition, with a focus on adipose tissue dysfunction and the usefulness of the OGTT. We finally explore novel metabolomic markers of T2D.sv
dc.language.isoengsv
dc.relation.haspartI Henninger AM, Eliasson B, Jenndahl LE, Hammarstedt A. Adipocyte hypertrophy, inflammation and fibrosis characterize subcutaneous adipose tissue of healthy, non-obese subjects predisposed to type 2 diabetes. PLoS One. 2014 Aug 22;9(8):e105262 ::DOI::10.1371/journal.pone.0105262sv
dc.relation.haspartII Henninger J, Hammarstedt A, Rawshani A, Eliasson B. Metabolic predictors of impaired glucose tolerance and type 2 diabetes in a predisposed population - A prospective cohort study. BMC Endocr Disord. 2015 Sep 25;15:51 ::DOI::10.1186/s12902-015-0048-8sv
dc.relation.haspartIII Henninger J, Rawshani A, Hammarstedt A, Eliasson B. Metabolic characteristics of individuals at a high risk of type 2 diabetes - a comparative cross-sectional study. BMC Endocr Disord. 2017 Jul 14;17(1):40 ::DOI::10.1186/s12902-017-0191-5sv
dc.relation.haspartIV Rawshani A, Eliasson B, Rawshani A, Henninger J, Mardinoglu A, Carlsson Å, Sohlin M, Ljungberg M, Hammarstedt A, Rosengren A, Smith U. Adipose tissue morphology, imaging and metabolomics predicting cardiometabolic risk and family history of type 2 diabetes in non-obese men. Scientific Reports 2020 Jun 19;10(1):9973 ::DOI::10.1038/s41598-020-66199-zsv
dc.relation.haspartV Henninger J, Eliasson B, Smith U, Rawshani A. Identification of markers that distinguish adipose tissue and glucose and insulin metabolism using a multi-modal machine learning approach. Scientific Reports. 2021 Aug 23;11(1):17050 ::DOI::10.1038/s41598-020-66199-zsv
dc.subjectTyp 2 diabetessv
dc.subjectFettvävnadsdysfuntionsv
dc.subjectFörstagradssläktningarsv
dc.titleMetabolic alterations and adipose tissue dysfunction in individuals with a family history of type 2 diabetessv
dc.typetexteng
dc.type.svepDoctoral thesiseng
dc.gup.mailjosefin.henninger@gu.sesv
dc.type.degreeDoctor of Philosophy (Medicine)sv
dc.gup.originUniversity of Gothenburg. Sahlgrenska Academysv
dc.gup.departmentInstitute of Medicine. Department of Molecular and Clinical Medicinesv
dc.gup.defenceplaceFredagen den 11 mars 2022, kl 9.00, Hörsal Arvid Carlsson, Academicum, Medicinaregatan 3, Göteborgsv
dc.gup.defencedate2022-03-11
dc.gup.dissdb-fakultetSA


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