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Computational analysis of the metabolic phenotypes in type 1 diabetes and their associations with mortality and diabetic complications

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Groop, Per-Henrik, Prof.
dc.contributor.author Mäkinen, Ville-Petteri
dc.date.accessioned 2012-08-24T07:41:57Z
dc.date.available 2012-08-24T07:41:57Z
dc.date.issued 2010
dc.identifier.isbn 978-952-60-3013-5 (electronic)
dc.identifier.isbn 978-952-60-3012-8 (printed) #8195;
dc.identifier.issn 1797-3996
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/4737
dc.description.abstract Type 1 diabetes is an autoimmune disease that destroys the secretion of insulin (in the pancreas); insulin is a vital hormone for maintaining normal glucose metabolism. Insulin replacement therapy can prevent the acute symptoms, but is not able to fully match the natural regulation, which puts a metabolic stress on tissues. For some patients, the stress manifests as gradual damage to blood vessels and the nervous system over the next few decades after diabetes diagnosis. The aim of the thesis was to describe the metabolic profiles and to investigate their connections with the spectrum of clinical symptoms. Simultaneously, new techniques were applied to measure the profiles (1H NMR spectroscopy) and to visualize the multivariate statistical associations (the self-organizing map). A total of 4,197 patients with type 1 diabetes were recruited for the thesis by the Finnish Diabetic Nephropathy Study. A quarter of the patients exhibited an obesity-related phenotype (high triglycerides, cholesterol, apolipoprotein B-100, low high-density lipoprotein cholesterol, high C-reactive protein). A third of the individuals had a diabetic kidney disease phenotype (high urinary albumin and serum creatinine). The combination of the two was associated with a 10-fold population-adjusted mortality. Nevertheless, there was no discernible metabolic threshold between the phenotype models, nor were there any single variable that could predict the outcomes accurately. These results suggest a need for multifactorial and multidisciplinary paradigms for the research, treatment and prevention of diabetic complications. en
dc.format.extent Verkkokirja (13235 KB, 126 s.)
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Aalto-yliopiston teknillinen korkeakoulu en
dc.relation.ispartofseries Department of Biomedical Engineering and Computational Science publications. A, Report, 15 en
dc.relation.haspart [Publication 1]: Ville-Petteri Mäkinen, Carol Forsblom, Lena M. Thorn, Johan Wadén, Daniel Gordin, Outi Heikkilä, Kustaa Hietala, Laura Kyllönen, Janne Kytö, Milla Rosengård-Bärlund, Markku Saraheimo, Nina Tolonen, Maija Parkkonen, Kimmo Kaski, Mika Ala-Korpela, and Per-Henrik Groop, on behalf of the FinnDiane Study Group. 2008. Metabolic phenotypes, vascular complications, and premature deaths in a population of 4,197 patients with type 1 diabetes. Diabetes, volume 57, number 9, pages 2480-2487. en
dc.relation.haspart [Publication 2]: Ville-Petteri Mäkinen, Pasi Soininen, Carol Forsblom, Maija Parkkonen, Petri Ingman, Kimmo Kaski, Per-Henrik Groop, and Mika Ala-Korpela, on behalf of the FinnDiane Study Group. 2006. Diagnosing diabetic nephropathy by 1H NMR metabonomics of serum. Magnetic Resonance Materials in Physics, Biology and Medicine, volume 19, number 6, pages 281-296. en
dc.relation.haspart [Publication 3]: Ville-Petteri Mäkinen, Pasi Soininen, Carol Forsblom, Maija Parkkonen, Petri Ingman, Kimmo Kaski, Per-Henrik Groop, and Mika Ala-Korpela, on behalf of the FinnDiane Study Group. 2008. 1H NMR metabonomics approach to the disease continuum of diabetic complications and premature death. Molecular Systems Biology, volume 4, 167. © 2008 by authors. en
dc.relation.haspart [Publication 4]: Jaakko Niemi, Ville-Petteri Mäkinen, Jukka Heikkonen, Leena Tenkanen, Yrjö Hiltunen, Minna L. Hannuksela, Matti Jauhiainen, Carol Forsblom, Marja-Riitta Taskinen, Y. Antero Kesäniemi, Markku J. Savolainen, Kimmo Kaski, Per-Henrik Groop, Petri T. Kovanen, and Mika Ala-Korpela. 2009. Estimation of VLDL, IDL, LDL, HDL2, apoA-I, and apoB from the Friedewald inputs—apoB and IDL, but not LDL, are associated with mortality in type 1 diabetes. Annals of Medicine, volume 41, number 6, pages 451-461. en
dc.relation.haspart [Publication 5]: Ville-Petteri Mäkinen, Carol Forsblom, Lena M. Thorn, Johan Wadén, Kimmo Kaski, Mika Ala-Korpela, and Per-Henrik Groop. 2009. Network of vascular diseases, death and biochemical characteristics in a set of 4,197 patients with type 1 diabetes (The FinnDiane Study). Cardiovascular Diabetology, volume 8, 54. © 2009 by authors. en
dc.subject.other Medical sciences
dc.subject.other Computer science
dc.title Computational analysis of the metabolic phenotypes in type 1 diabetes and their associations with mortality and diabetic complications en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Aalto-yliopiston teknillinen korkeakoulu fi
dc.contributor.department Lääketieteellisen tekniikan ja laskennallisen tieteen laitos fi
dc.contributor.department Department of Biomedical Engineering and Computational Science en
dc.subject.keyword type 1 diabetes en
dc.subject.keyword kidney disease en
dc.subject.keyword NMR spectroscopy en
dc.subject.keyword self-organizing map en
dc.identifier.urn URN:ISBN:978-952-60-3013-5
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.type.ontasot Doctoral dissertation (article-based) en
dc.contributor.supervisor Kaski, Kimmo, Prof.
local.aalto.digifolder Aalto_65277
local.aalto.digiauth ask


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