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Publications (10 of 236) Show all publications
Liu, C., Marioni, R. E., Hedman, Å. K., Pfeiffer, L., Tsai, P.-C., Reynolds, L. M., . . . Levy, D. (2018). A DNA methylation biomarker of alcohol consumption.. Molecular Psychiatry, 23, 422-433
Open this publication in new window or tab >>A DNA methylation biomarker of alcohol consumption.
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2018 (English)In: Molecular Psychiatry, ISSN 1359-4184, E-ISSN 1476-5578, Vol. 23, p. 422-433Article in journal (Refereed) Published
Abstract [en]

The lack of reliable measures of alcohol intake is a major obstacle to the diagnosis and treatment of alcohol-related diseases. Epigenetic modifications such as DNA methylation may provide novel biomarkers of alcohol use. To examine this possibility, we performed an epigenome-wide association study of methylation of cytosine-phosphate-guanine dinucleotide (CpG) sites in relation to alcohol intake in 13 population-based cohorts (ntotal=13 317; 54% women; mean age across cohorts 42-76 years) using whole blood (9643 European and 2423 African ancestries) or monocyte-derived DNA (588 European, 263 African and 400 Hispanic ancestry) samples. We performed meta-analysis and variable selection in whole-blood samples of people of European ancestry (n=6926) and identified 144 CpGs that provided substantial discrimination (area under the curve=0.90-0.99) for current heavy alcohol intake (⩾42 g per day in men and ⩾28 g per day in women) in four replication cohorts. The ancestry-stratified meta-analysis in whole blood identified 328 (9643 European ancestry samples) and 165 (2423 African ancestry samples) alcohol-related CpGs at Bonferroni-adjusted P<1 × 10(-7). Analysis of the monocyte-derived DNA (n=1251) identified 62 alcohol-related CpGs at P<1 × 10(-7). In whole-blood samples of people of European ancestry, we detected differential methylation in two neurotransmitter receptor genes, the γ-Aminobutyric acid-A receptor delta and γ-aminobutyric acid B receptor subunit 1; their differential methylation was associated with expression levels of a number of genes involved in immune function. In conclusion, we have identified a robust alcohol-related DNA methylation signature and shown the potential utility of DNA methylation as a clinically useful diagnostic test to detect current heavy alcohol consumption.

National Category
Other Basic Medicine
Identifiers
urn:nbn:se:uu:diva-319698 (URN)10.1038/mp.2016.192 (DOI)000423441700028 ()27843151 (PubMedID)
Note

De tio första författarna delar på förstaförfattarskapet. De sex sista författarna delar på sistaförfattarskapet.

Available from: 2017-04-06 Created: 2017-04-06 Last updated: 2018-03-19Bibliographically approved
Chen, X., Gustafsson, S., Whitington, T., Borne, Y., Lorentzen, E., Sun, J., . . . Magnusson, P. K. E. (2018). A genome-wide association study of IgM antibody against phosphorylcholine: shared genetics and phenotypic relationship to chronic lymphocytic leukemia. Human Molecular Genetics, 27(10), 1809-1818
Open this publication in new window or tab >>A genome-wide association study of IgM antibody against phosphorylcholine: shared genetics and phenotypic relationship to chronic lymphocytic leukemia
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2018 (English)In: Human Molecular Genetics, ISSN 0964-6906, E-ISSN 1460-2083, Vol. 27, no 10, p. 1809-1818Article in journal (Refereed) Published
Abstract [en]

Phosphorylcholine (PC) is an epitope on oxidized low-density lipoprotein (oxLDL), apoptotic cells and several pathogens like Streptococcus pneumoniae. Immunoglobulin M against PC (IgM anti-PC) has the ability to inhibit uptake of oxLDL by macrophages and increase clearance of apoptotic cells. From our genome-wide association studies (GWASs) in four European-ancestry cohorts, six single nucleotide polymorphisms (SNPs) in 11q24.1 were discovered (in 3002 individuals) and replicated (in 646 individuals) to be associated with serum level of IgM anti-PC (the leading SNP rs35923643-G, combined beta = 0.19, 95% confidence interval 0.13-0.24, P = 4.3 x 10(-11)). The haplotype tagged by rs35923643-G (or its proxy SNP rs735665-A) is also known as the top risk allele for chronic lymphocytic leukemia (CLL), and a main increasing allele for general IgM. By using summary GWAS results of IgM anti-PC and CLL in the polygenic risk score (PRS) analysis, PRS on the basis of IgM anti-PC risk alleles positively associated with CLL risk (explained 0.6% of CLL variance, P = 1.2 x 10(-15)). Functional prediction suggested that rs35923643-G might impede the binding of Runt-related transcription factor 3, a tumor suppressor playing a central role in the immune regulation of cancers. Contrary to the expectations from the shared genetics between IgM anti-PC and CLL, an inverse relationship at the phenotypic level was found in a nested case-control study (30 CLL cases with 90 age-and sex-matched controls), potentially reflecting reverse causation. The suggested function of the top variant as well as the phenotypic association between IgM anti-PC and CLL risk needs replication and motivates further studies.

National Category
Medical Genetics
Identifiers
urn:nbn:se:uu:diva-356866 (URN)10.1093/hmg/ddy094 (DOI)000431886200012 ()29547969 (PubMedID)
Funder
Swedish Research Council, 2017-00641Swedish Heart Lung Foundation, 20070481
Available from: 2018-08-15 Created: 2018-08-15 Last updated: 2018-08-15Bibliographically approved
Figarska, S. M., Gustafsson, S., Sundström, J., Ärnlöv, J., Mälarstig, A., Elmstahl, S., . . . Ingelsson, E. (2018). Associations of Circulating Protein Levels With Lipid Fractions in the General Population. Arteriosclerosis, Thrombosis and Vascular Biology, 38(10), 2505-2518
Open this publication in new window or tab >>Associations of Circulating Protein Levels With Lipid Fractions in the General Population
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2018 (English)In: Arteriosclerosis, Thrombosis and Vascular Biology, ISSN 1079-5642, E-ISSN 1524-4636, Vol. 38, no 10, p. 2505-2518Article in journal (Refereed) Published
Abstract [en]

Objective: Revealing patterns of associations between circulating protein and lipid levels could improve biological understanding of cardiovascular disease (CVD). In this study, we investigated the associations between proteins related to CVD and triglyceride (TG), total cholesterol, LDL (low-density lipoprotein), and HDL (high-density lipoprotein) cholesterol levels in individuals from the general population.

Approach and Results: We measured plasma protein levels using the Olink ProSeek CVD I or II+III arrays and analyzed 57 proteins available in 3 population-based cohorts: EpiHealth (n=2029; 52% women; median age, 61 years), PIVUS (Prospective Study of the Vasculature in Uppsala Seniors; n=790; 51% women; all aged 70 years), and ULSAM (Uppsala Longitudinal Study of Adult Men; n=551; all men aged 77 years). A discovery analysis was performed in EpiHealth in a regression framework (adjusted for sex, age, body mass index, smoking, glucose levels, systolic blood pressure, blood pressure medication, diabetes mellitus medication, and CVD history), and associations with false discovery rate <0.05 were further tested in PIVUS and ULSAM, where a P value of 0.05 was considered a successful replication (validation false discovery rate of 0.1%). We used summary statistics from a genome-wide association study on each protein biomarker (meta-analysis of EpiHealth, PIVUS, ULSAM, and IMPROVE [Carotid Intima-Media Thickness and IMT-Progression as Predictors of Vascular Events in a High-Risk European Population]) and publicly available data from Global Lipids Genetics Consortium to perform Mendelian randomization analyses to address possible causality of protein levels. Of 57 tested proteins, 42 demonstrated an association with at least 1 lipid fraction; 35 were associated with TG, 15 with total cholesterol, 9 with LDL cholesterol, and 24 with HDL cholesterol. Among these associations, we found KIM-1 (kidney injury molecule-1), TNFR (TNF [tumor necrosis factor] receptor) 1 and 2, TRAIL-R2 (TRAIL [TNF-related apoptosis-inducing ligand] receptor 2), and RETN (resistin) to be associated with all 4 lipid fractions. Further, 15 proteins were related to both TG and HDL cholesterol in a consistent and biologically expected manner, that is, higher TG and lower HDL cholesterol or vice versa. Another common pattern of associations was concomitantly higher TG, total cholesterol, and LDL cholesterol, which is associated with higher CVD risk. We did not find evidence of causal links for protein levels.

Conclusions: Our comprehensive analysis of plasma proteins and lipid fractions of 3370 individuals from the general population provides new information about lipid metabolism.

Place, publisher, year, edition, pages
LIPPINCOTT WILLIAMS & WILKINS, 2018
Keywords
cholesterol, humans, proteomics, triglycerides
National Category
Cardiac and Cardiovascular Systems
Identifiers
urn:nbn:se:uu:diva-363206 (URN)10.1161/ATVBAHA.118.311440 (DOI)000445750500026 ()
Funder
Knut and Alice Wallenberg Foundation, 2013.0126
Available from: 2018-10-18 Created: 2018-10-18 Last updated: 2018-10-18Bibliographically approved
Zanetti, D., Tikkanen, E., Gustafsson, S., Priest, J. R., Burgess, S. & Ingelsson, E. (2018). Birthweight, Type 2 Diabetes Mellitus, and Cardiovascular Disease Addressing the Barker Hypothesis With Mendelian Randomization. CIRCULATION-GENOMIC AND PRECISION MEDICINE, 11(6), Article ID UNSP e002054.
Open this publication in new window or tab >>Birthweight, Type 2 Diabetes Mellitus, and Cardiovascular Disease Addressing the Barker Hypothesis With Mendelian Randomization
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2018 (English)In: CIRCULATION-GENOMIC AND PRECISION MEDICINE, ISSN 2574-8300, Vol. 11, no 6, article id UNSP e002054Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Low birthweight has been associated with a higher risk of hypertension, type 2 diabetes mellitus (T2D), and cardiovascular disease. The Barker hypothesis posits that intrauterine growth restriction resulting in lower birthweight is causal for these diseases, but causality is difficult to infer from observational studies. METHODS: We performed regression analyses to assess associations of birthweight with cardiovascular disease and T2D in 237 631 individuals from the UK Biobank. Further, we assessed the causal relationship of such associations using Mendelian randomization. RESULTS: In the observational analyses, birthweight showed inverse associations with systolic and diastolic blood pressure (beta, -0.83 and -0.26; per raw unit in outcomes and SD change in birthweight; 95% confidence interval [CI], -0.90 to -0.75 and -0.31 to -0.22, respectively), T2D (odds ratio, 0.83; 95% CI, 0.79-0.87), lipid-lowering treatment (odds ratio, 0.84; 95% CI, 0.81-0.86), and coronary artery disease (hazard ratio, 0.85; 95% CI, 0.78-0.94), whereas the associations with adult body mass index and body fat (beta, 0.04 and 0.02; per SD change in outcomes and birthweight; 95% CI, 0.03-0.04 and 0.01-0.02, respectively) were positive. The Mendelian randomization analyses indicated inverse causal associations of birthweight with low-density lipoprotein cholesterol, 2-hour glucose, coronary artery disease, and T2D and positive causal association with body mass index but no associations with blood pressure. CONCLUSIONS: Our study indicates that lower birthweight, used as a proxy for intrauterine growth retardation, is causally related with increased susceptibility to coronary artery disease and T2D. This causal relationship is not mediated by adult obesity or hypertension.

Place, publisher, year, edition, pages
LIPPINCOTT WILLIAMS & WILKINS, 2018
Keywords
cardiovascular disease, diabetes mellitus, type 2, genetics, hypertension, obesity
National Category
Cardiac and Cardiovascular Systems Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
urn:nbn:se:uu:diva-365991 (URN)10.1161/CIRCGEN.117.002054 (DOI)000445175000005 ()29875125 (PubMedID)
Funder
NIH (National Institute of Health), 1R01HL135313-01
Available from: 2018-11-22 Created: 2018-11-22 Last updated: 2018-11-22Bibliographically approved
Stenemo, M., Nowak, C., Byberg, L., Sundström, J., Giedraitis, V., Lind, L., . . . Ärnlöv, J. (2018). Circulating proteins as predictors of incident heart failure in the elderly. European Journal of Heart Failure, 20(1), 55-62
Open this publication in new window or tab >>Circulating proteins as predictors of incident heart failure in the elderly
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2018 (English)In: European Journal of Heart Failure, ISSN 1388-9842, E-ISSN 1879-0844, Vol. 20, no 1, p. 55-62Article in journal (Refereed) Published
Abstract [en]

Aims

To identify novel risk markers for incident heart failure using proteomic profiling of 80 proteins previously associated with cardiovascular pathology.

Methods and results

Proteomic profiling (proximity extension assay) was performed in two community‐based prospective cohorts of elderly individuals without heart failure at baseline: the Prospective Investigation of the Vasculature in Uppsala Seniors [PIVUS, n = 901, median age 70.2 (interquartile range 70.0–70.3) years, 80 events]; and the Uppsala Longitudinal Study of Adult Men [ULSAM, n = 685, median age 77.8 (interquartile range 76.9–78.1) years, 90 events]. Twenty‐nine proteins were associated with incident heart failure in the discovery cohort PIVUS after adjustment for age and sex, and correction for multiple testing. Eighteen associations replicated in ULSAM. In pooled analysis of both cohorts, higher levels of nine proteins were associated with incident heart failure after adjustment for established risk factors: growth differentiation factor 15 (GDF‐15), T‐cell immunoglobulin and mucin domain 1 (TIM‐1), tumour necrosis factor‐related apoptosis‐inducing ligand receptor 2 (TRAIL‐R2), spondin‐1 (SPON1), matrix metalloproteinase‐12 (MMP‐12), follistatin (FS), urokinase‐type plasminogen activator surface receptor (U‐PAR), osteoprotegerin (OPG), and suppression of tumorigenicity 2 (ST2). Of these, GDF‐15, U‐PAR, MMP‐12, TRAIL‐R2, SPON1 and FS were associated with worsened echocardiographic left ventricular systolic function at baseline, while only TIM‐1 was positively associated with worsened diastolic function (P < 0.02 for all).

Conclusion

Proteomic profiling identified several novel associations between proteins involved in apoptosis, inflammation, matrix remodelling, and fibrinolysis with incident heart failure in elderly individuals. Our results encourage additional studies investigating the underlying mechanisms and the clinical utility of our findings.

Keywords
Biomarkers, Epidemiology, Heart failure, Left ventricular dysfunction, Proteomics, Risk prediction
National Category
Cardiac and Cardiovascular Systems
Identifiers
urn:nbn:se:uu:diva-334416 (URN)10.1002/ejhf.980 (DOI)000423809700007 ()28967680 (PubMedID)
Funder
EU, Horizon 2020, 634869Swedish Research Council, 2012-2215; 2015-03477; 221-2013-1673Marianne and Marcus Wallenberg Foundation, 2012.0082Swedish Heart Lung Foundation, 20140422; 20150429; 20120169Knut and Alice Wallenberg Foundation, 2013.0126Göran Gustafsson Foundation for promotion of scientific research at Uppala University and Royal Institute of Technology, 1637
Note

Tove Fall och Johan Ärnlöv delar på sistaförfattarskapet.

Available from: 2017-11-23 Created: 2017-11-23 Last updated: 2018-08-24Bibliographically approved
Evangelou, E., Warren, H. R., Mosen-Ansorena, D., Mifsud, B., Pazoki, R., Gao, H., . . . Caulfield, M. J. (2018). Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.. Nature Genetics, 50(10), 1412-1425
Open this publication in new window or tab >>Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.
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2018 (English)In: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718, Vol. 50, no 10, p. 1412-1425Article in journal (Refereed) Published
Abstract [en]

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

National Category
Medical Genetics
Identifiers
urn:nbn:se:uu:diva-367084 (URN)10.1038/s41588-018-0205-x (DOI)000446047000013 ()30224653 (PubMedID)
Funder
EU, European Research CouncilNovo Nordisk, NNF15CC0018486EU, FP7, Seventh Framework Programme, HEALTH-F2-2013-601456Wellcome trust, RE/13/1/30181Wellcome trust, WT098051
Available from: 2018-11-28 Created: 2018-11-28 Last updated: 2018-12-05Bibliographically approved
Jiang, X., O'Reilly, P. F., Aschard, H., Hsu, Y.-H., Richards, J. B., Dupuis, J., . . . Kiel, D. P. (2018). Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. Nature Communications, 9, Article ID 260.
Open this publication in new window or tab >>Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels
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2018 (English)In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 9, article id 260Article in journal (Refereed) Published
Abstract [en]

Vitamin D is a steroid hormone precursor that is associated with a range of human traits and diseases. Previous GWAS of serum 25-hydroxyvitamin D concentrations have identified four genome-wide significant loci (GC, NADSYN1/DHCR7, CYP2R1, CYP24A1). In this study, we expand the previous SUNLIGHT Consortium GWAS discovery sample size from 16,125 to 79,366 (all European descent). This larger GWAS yields two additional loci harboring genome-wide significant variants (P = 4.7×10−9 at rs8018720 in SEC23A, and P = 1.9×10−14 at rs10745742 in AMDHD1). The overall estimate of heritability of 25-hydroxyvitamin D serum concentrations attributable to GWAS common SNPs is 7.5%, with statistically significant loci explaining 38% of this total. Further investigation identifies signal enrichment in immune and hematopoietic tissues, and clustering with autoimmune diseases in cell-type-specific analysis. Larger studies are required to identify additional common SNPs, and to explore the role of rare or structural variants and gene–gene interactions in the heritability of circulating 25-hydroxyvitamin D levels.

National Category
Medical Genetics
Identifiers
urn:nbn:se:uu:diva-343676 (URN)10.1038/s41467-017-02662-2 (DOI)000422650500011 ()29343764 (PubMedID)
Available from: 2018-03-05 Created: 2018-03-05 Last updated: 2018-03-05Bibliographically approved
Fall, T., Gustafsson, S., Orho-Melander, M. & Ingelsson, E. (2018). Genome-wide association study of coronary artery disease among individuals with diabetes: the UK Biobank. Diabetologia, 61(10), 2174-2179
Open this publication in new window or tab >>Genome-wide association study of coronary artery disease among individuals with diabetes: the UK Biobank
2018 (English)In: Diabetologia, ISSN 0012-186X, E-ISSN 1432-0428, Vol. 61, no 10, p. 2174-2179Article in journal (Refereed) Published
Abstract [en]

Coronary artery disease (CAD) is a common complication among individuals with diabetes. A better understanding of the genetic background of CAD in this population has the potential to suggest novel molecular targets for screening, risk assessment and drug development. We performed a genome-wide association study of CAD in 15,666 unrelated individuals (3,968 CAD cases and 11,698 controls) of white British ancestry with diabetes at inclusion in the UK Biobank study. Our results were compared with results from participants without diabetes. We found genome-wide significant evidence for association with CAD at the previously well-established LPA locus (lead variant: rs74617384; OR 1.38 [95% CI 1.26, 1.51], p = 3.2 x 10(-12)) and at 9p21 (lead variant: rs10811652; OR 1.19 [95% CI 1.13, 1.26], p = 6.0 x 10(-11)). Moreover, other variants previously associated with CAD showed similar effects in the participants with and without diabetes, indicating that the genetic architecture of CAD is largely the same. Our results indicate large similarities between the genetic architecture of CAD in participants with and without diabetes. Larger studies are needed to establish whether there are important diabetes-specific CAD loci.

Keywords
Diabetes, Genetic epidemiology, Ischaemic heart disease, UK Biobank
National Category
Endocrinology and Diabetes
Identifiers
urn:nbn:se:uu:diva-364162 (URN)10.1007/s00125-018-4686-z (DOI)000443448100012 ()30003307 (PubMedID)
Funder
Swedish Research Council, 2015-03477Swedish Heart Lung Foundation, 20150429Göran Gustafsson Foundation for Research in Natural Sciences and Medicine, 1637NIH (National Institute of Health), R01DK106236
Available from: 2018-11-07 Created: 2018-11-07 Last updated: 2018-11-16Bibliographically approved
Nielsen, J. B., Fritsche, L. G., Zhou, W., Teslovich, T. M., Holmen, O. L., Gustafsson, S., . . . Willer, C. J. (2018). Genome-wide Study of Atrial Fibrillation Identifies Seven Risk Loci and Highlights Biological Pathways and Regulatory Elements Involved in Cardiac Development. American Journal of Human Genetics, 102(1), 103-115
Open this publication in new window or tab >>Genome-wide Study of Atrial Fibrillation Identifies Seven Risk Loci and Highlights Biological Pathways and Regulatory Elements Involved in Cardiac Development
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2018 (English)In: American Journal of Human Genetics, ISSN 0002-9297, E-ISSN 1537-6605, Vol. 102, no 1, p. 103-115Article in journal (Refereed) Published
Abstract [en]

Atrial fibrillation (AF) is a common cardiac arrhythmia and a major risk factor for stroke, heart failure, and premature death. The pathogenesis of AF remains poorly understood, which contributes to the current lack of highly effective treatments. To understand the genetic variation and biology underlying AF, we undertook a genome-wide association study (GWAS) of 6,337 AF individuals and 61,607 AF-free individuals from Norway, including replication in an additional 30,679 AF individuals and 278,895 AF-free individuals. Through genotyping and dense imputation mapping from whole-genome sequencing, we tested almost nine million genetic variants across the genome and identified seven risk loci, including two novel loci. One novel locus (lead single-nucleotide variant [SNV] rs12614435; p = 6.76 × 10−18) comprised intronic and several highly correlated missense variants situated in the I-, A-, and M-bands of titin, which is the largest protein in humans and responsible for the passive elasticity of heart and skeletal muscle. The other novel locus (lead SNV rs56202902; p = 1.54 × 10−11) covered a large, gene-dense chromosome 1 region that has previously been linked to cardiac conduction. Pathway and functional enrichment analyses suggested that many AF-associated genetic variants act through a mechanism of impaired muscle cell differentiation and tissue formation during fetal heart development.

National Category
Medical Genetics
Identifiers
urn:nbn:se:uu:diva-341499 (URN)10.1016/j.ajhg.2017.12.003 (DOI)000419305500008 ()29290336 (PubMedID)
Available from: 2018-02-19 Created: 2018-02-19 Last updated: 2018-02-19Bibliographically approved
Nowak, C., Hetty, S., Salihovic, S., Castillejo-Lopez, C., Ganna, A., Cook, N. L., . . . Ingelsson, E. (2018). Glucose challenge metabolomics implicates medium-chain acylcarnitines in insulin resistance. Scientific Reports, 8, Article ID 8691.
Open this publication in new window or tab >>Glucose challenge metabolomics implicates medium-chain acylcarnitines in insulin resistance
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2018 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 8, article id 8691Article in journal (Refereed) Published
Abstract [en]

Insulin resistance (IR) predisposes to type 2 diabetes and cardiovascular disease but its causes are incompletely understood. Metabolic challenges like the oral glucose tolerance test (OGTT) can reveal pathogenic mechanisms. We aimed to discover associations of IR with metabolite trajectories during OGTT. In 470 non-diabetic men (age 70.6 +/- 0.6 years), plasma samples obtained at 0, 30 and 120 minutes during an OGTT were analyzed by untargeted liquid chromatography-mass spectrometry metabolomics. IR was assessed with the hyperinsulinemic-euglycemic clamp method. We applied age-adjusted linear regression to identify metabolites whose concentration change was related to IR. Nine trajectories, including monounsaturated fatty acids, lysophosphatidylethanolamines and a bile acid, were significantly associated with IR, with the strongest associations observed for medium-chain acylcarnitines C10 and C12, and no associations with L-carnitine or C2-, C8-, C14- or C16-carnitine. Concentrations of C10-and C12-carnitine decreased during OGTT with a blunted decline in participants with worse insulin resistance. Associations persisted after adjustment for obesity, fasting insulin and fasting glucose. In mouse 3T3-L1 adipocytes exposed to different acylcarnitines, we observed blunted insulin-stimulated glucose uptake after treatment with C10-or C12-carnitine. In conclusion, our results identify medium-chain acylcarnitines as possible contributors to IR.

National Category
Endocrinology and Diabetes
Identifiers
urn:nbn:se:uu:diva-357687 (URN)10.1038/s41598-018-26701-0 (DOI)000434252600004 ()29875472 (PubMedID)
Funder
Knut and Alice Wallenberg Foundation, 2013.0126Swedish Research Council, 2015-03477
Note

Tove Fall and Erik Ingelsson contributed equally to this work.

Available from: 2018-08-23 Created: 2018-08-23 Last updated: 2018-08-23Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-2256-6972

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