| 1. |
- Ganna, Andrea, et al.
(författare)
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Large-scale non-targeted metabolomic profiling in three human population-based studies
- 2016
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Ingår i: Metabolomics. - : Springer Science and Business Media LLC. - 1573-3882 .- 1573-3890. ; 12
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Tidskriftsartikel (refereegranskat)abstract
- Non-targeted metabolomic profiling is used to simultaneously assess a large part of the metabolome in a biological sample. Here, we describe both the analytical and computational methods used to analyze a large UPLC–Q-TOF MS-based metabolomic profiling effort using plasma and serum samples from participants in three Swedish population-based studies of middle-aged and older human subjects: TwinGene, ULSAM and PIVUS. At present, more than 200 metabolites have been manually annotated in more than 3600 participants using an in-house library of standards and publically available spectral databases. Data available at the metabolights repository include individual raw unprocessed data, processed data, basic demographic variables and spectra of annotated metabolites. Additional phenotypical and genetic data is available upon request to cohort steering committees. These studies represent a unique resource to explore and evaluate how metabolic variability across individuals affects human diseases.
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| 2. |
- Garg, Gaurav, et al.
(författare)
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Glucose-dependent insulinotropic polypeptide (GIP) and GIP receptor (GIPR) genes : An association analysis of polymorphisms and bone in young and elderly women
- 2016
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Ingår i: Bone Reports. - : Elsevier BV. - 2352-1872. ; 4, s. 23-27
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: The gastro-intestinal hormone glucose-dependent insulinotropic polypeptide (GIP) potentiates glucose-induced insulin secretion, with bone anabolic effects through GIP receptor (GIPR) in animal models. We explore its potential in humans by analyzing association between polymorphisms (SNPs) in the GIP and GIPR genes with bone phenotypes in young and elderly women. Methods: Association between GIP (rs2291725) and GIPR (rs10423928) and BMD, bone mineral content (BMC), bone microarchitecture, fracture and body composition was analyzed in the OPRA (75y, n. =. 1044) and PEAK-25 (25y; n. =. 1061) cohorts and serum-GIP in OPRA. Results: The GIP receptor AA-genotype was associated with lower ultrasound values in young women (BUA p=0.011; SI p=0.030), with no association to bone phenotypes in the elderly. In the elderly, the GIP was associated with lower ultrasound (GG vs. AA; SOS padj=0.021) and lower femoral neck BMD and BMC after adjusting for fat mass (padj=0.016 and padj=0.03). In young women, neither GIPR nor GIP associated with other bone phenotypes including spine trabecular bone score. In the elderly, neither SNP associated with fracture. GIP was associated with body composition only in Peak-25; GIPR was not associated with body composition in either cohort. Serum-GIP levels (in elderly) were not associated with bone phenotypes, however lower levels were associated with the GIPR A-allele (β=-6.93; padj=0.03). Conclusions: This first exploratory association study between polymorphisms in GIP and GIPR in relation to bone phenotypes and serum-GIP in women at different ages indicates a possible, albeit complex link between glucose metabolism genes and bone, while recognizing that further studies are warranted.
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| 3. |
- Garg, Gaurav, et al.
(författare)
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Variation in the MC4R Gene Is Associated with Bone Phenotypes in Elderly Swedish Women.
- 2014
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Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 9:2
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Tidskriftsartikel (refereegranskat)abstract
- Osteoporosis is characterized by reduced bone mineral density (BMD) and increased fracture risk. Fat mass is a determinant of bone strength and both phenotypes have a strong genetic component. In this study, we examined the association between obesity associated polymorphisms (SNPs) with body composition, BMD, Ultrasound (QUS), fracture and biomarkers (Homocysteine (Hcy), folate, Vitamin D and Vitamin B12) for obesity and osteoporosis. Five common variants: rs17782313 and rs1770633 (melanocortin 4 receptor (MC4R); rs7566605 (insulin induced gene 2 (INSIG2); rs9939609 and rs1121980 (fat mass and obesity associated (FTO) were genotyped in 2 cohorts of Swedish women: PEAK-25 (age 25, n = 1061) and OPRA (age 75, n = 1044). Body mass index (BMI), total body fat and lean mass were strongly positively correlated with QUS and BMD in both cohorts (r(2) = 0.2-0.6). MC4R rs17782313 was associated with QUS in the OPRA cohort and individuals with the minor C-allele had higher values compared to T-allele homozygotes (TT vs. CT vs.
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| 4. |
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| 5. |
- Kumar, Jitender, et al.
(författare)
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Associations of Body Mass Index and Obesity-Related Genetic Variants with Serum Metabolites
- 2014
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Ingår i: Current Metabolomics. - 2213-235X. ; 2:1, s. 27-36-
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: Body mass index (BMI) is one of the most important risk factors for different metabolic and cardiovascular disorders. Previously, both genetic and environmental agents associated with BMI have been described. The main focus of this exploratory study was to find the circulating metabolites associated with BMI utilizing an untargeted metabolomics approach. Additionally, significant metabolites identified were studied for their relation with BMIassociated single nucleotide polymorphisms (SNPs). Materials and Methods: A total of 971 individuals from the Cancer of the Prostate in Sweden study (discovery sample- 275 prostate cancers patients and 182 controls; replication sample- 514 prostate cancer patients) were utilized. Blood samples were collected and serum metabolic profiling was obtained using ultra-performance liquid chromatography followed by mass spectrometry. Genotyping data was available for 26 out of 32 SNPs (21 genotyped and 5 proxies) previously robustly associated with BMI in individuals of European descent. Weighted genetic risk score was generated using these SNPs and studied for its association with metabolites. Results: A total of 6138 and 5209 metabolite features were detected in discovery and replication samples, respectively. Out of 6138 metabolite features in discovery sample, 201 were found to be significantly associated with BMI (p<8.15*10-6) after multiple testing correction. These 201 features were further investigated in the replication samples and 16 were found to be significantly associated with BMI (p<2.49*10-4). Seven of these significant features were isotopes for four of the primary metabolites. Four metabolites were putatively identified: monoacylglyceride (18:1), diacylglyrcerol (32:1) and two phosphatidylcholines (34:0 and 36:0). Weighted genetic score of BMI-associated SNPs was not associated with these four metabolites. Conclusion: Four identifiable metabolites (monoacylglyceride, diacyclglyrcerol and two phosphatidylcholines) were found to be significantly associated with BMI in both discovery and replication samples. Common variants associated with BMI did not show association with these four metabolites. - See more at: http://www.eurekaselect.com/120422/article#sthash.PgqffHqv.dpuf
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| 6. |
- Kumar, Jitender, et al.
(författare)
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Influence of Biological and Technical Covariates on Non-targeted Metabolite Profiling in a Large-scale Epidemiological Study
- 2013
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Ingår i: Current Metabolomics. - 2213-235X. ; 1:3, s. 220-226-
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Tidskriftsartikel (refereegranskat)abstract
- Non-targeted metabolite profiling using ultra performance liquid chromatography-mass spectrometry (UPLCMS) was performed as part of a large-scale epidemiological study involving biobanked serum samples. The influence of both biological (age and body mass index) and technical (season of sample collection, fasting time, handling time, and storage time) covariates on the analysis was assessed. Statistical models including different sets of these covariates were compared and the results illustrate that variation in which covariates were included did not have an appreciable effect on the number or composition of biologically significant metabolite features associated with body mass index or age. Furthermore, when all covariates were included in the model, there was little overlap of metabolite features significantly associated with the different covariates. Thus, the results of this study illustrate that while some of the observed quantitative variance of metabolite features can be explained by biological and technical covariates, the use of non-targeted metabolite profiling of serum by UPLC-MS is valid for studies of biological outcomes in biobanked clinical samples from large-scale studies. - See more at: http://www.eurekaselect.com/115259/article#sthash.BOvtwWe7.dpuf
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| 7. |
- Kumar, Jitender, et al.
(författare)
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Influence of persistent organic pollutants on oxidative stress in population-based samples
- 2014
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Ingår i: Chemosphere. - : Elsevier BV. - 0045-6535 .- 1879-1298. ; 114, s. 303-309
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Tidskriftsartikel (refereegranskat)abstract
- Persistent organic pollutants (POPs) are a large group of chemicals widely used and produced in various industrial applications. Many cell culture/animal studies have shown that POPs can induce oxidative stress. Since such data is lacking in humans, we conducted a large population-based study to analyze associations between POPs and oxidative stress markers. We measured following POPs; 16 polychlorinated biphenyls (PCBs), 5 organochlorine (OC) pesticides, octachlorinated dibenzo-p-dioxin, and polybrominated diphenyl ether 47, and oxidative stress markers; homocysteine, reduced [GSH] and oxidized glutathione [GSSG], glutathione ratio [GSSG/GSH], total glutathione, oxidized low-density lipoprotein [ox-LDL], ox-LDL antibodies, conjugated dienes, baseline conjugated dienes of LDL, and total anti-oxidative capacity in plasma samples collected from 992 70-year old individuals (50% women) from the population-based Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) cohort. Linear regression analyses were performed to study the associations between oxidative stress markers and summary measures of POPs including the total toxic equivalence (TEQ), sums of PCBs and BC pesticides (main exposures) while adjusting for potential confounders. In multivariable-adjusted analyses, sum of PCBs showed strong associations with ox-LDL (beta = 0.94; P = 2.9 * 10(-6)). Further, sum of PCBs showed association with glutathione-related markers (GSSG: beta = 0.01; P = 6.0 *10(-7); GSSG/GSH: beta = 0.002; P = 9.7 * 10(-10)), although in reverse direction. Other summary measures did not show any significant association with these markers. In our study of elderly individuals from the general population, we show that plasma levels of POPs are associated with markers of increased oxidative stress thereby suggesting that even low dose background exposure to POPs may be involved in oxidative stress. (C) 2014 Elsevier Ltd. All rights reserved.
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| 8. |
- Kumar, Jitender, et al.
(författare)
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Influence of persistent organic pollutants on the complement system in a population-based human sample
- 2014
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Ingår i: Environment International. - : Elsevier BV. - 0160-4120 .- 1873-6750. ; 71, s. 94-100
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Tidskriftsartikel (refereegranskat)abstract
- Background: Persistent organic pollutants (POPS) are toxic compounds generated through various industrial activities and have adverse effects on human health. Studies performed in cell cultures and animals have revealed that POPs can alter immune-system functioning. The complement system is part of innate immune system that helps to clear pathogens from the body. We performed a large-scale population-based study to find out associations between summary measures of different POPs and different complement system markers.Methods: In this cross-sectional study, 16 polychlorinated biphenyls (PCBs), 3 organochlorine (OC) pesticides, octachloro-p-dibenzodioxin, and 2,2',4,4'-tetrabromodiphenyl ether (BDE-47) were analyzed for their association with levels of protein complement 3 (C3), 3a (C3a), 4 (C4) and C3a/C3 ratio. A total of 992 individuals (all aged 70 years, 50% females) were recruited from the Prospective Investigation of the Vasculature in Uppsala Seniors cohort. Regression analysis adjusting for a variety of confounders was performed to study the associations of different POP exposures (total toxic equivalency value or TEQ and sum of 16 PCBs) with protein complements.Results: The TEQ values were found to be positively associated with C3a (beta = 0.07, 95% CI = 0.017-0.131, p = 0.01) and C3a/C3 ratio (beta = 0.07, 95% Cl = 0.015-0.126, p = 0.01) taking possible confounders into account. The association observed was mainly driven by PCB-126.Conclusion: In this study involving 992 elderly individuals from the general population, we showed that POPs, mainly PCB-126, were associated with levels of complement system markers indicating that the association of these toxic compounds with downstream disease could be mediated by activation of immune system. (C) 2014 Elsevier Ltd. All rights reserved.
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| 9. |
- Kumar, Jitender, et al.
(författare)
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LRP4 association to bone properties and fracture and interaction with genes in the Wnt- and BMP signaling pathways.
- 2011
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Ingår i: Bone. - : Elsevier BV. - 1873-2763 .- 8756-3282. ; 49, s. 343-348
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Tidskriftsartikel (refereegranskat)abstract
- Osteoporosis is a common complex disorder in postmenopausal women leading to changes in the micro-architecture of bone and increased risk of fracture. Members of the low-density lipoprotein receptor-related protein (LRP) gene family regulates the development and physiology of bone through the Wnt/β-catenin (Wnt) pathway that in turn cross-talks with the bone morphogenetic protein (BMP) pathway. In two cohorts of Swedish women: OPRA (n=1002; age 75years) and PEAK-25 (n=1005; age 25years), eleven single nucleotide polymorphisms (SNPs) from Wnt pathway genes (LRP4; LRP5; G protein-coupled receptor 177, GPR177) were analyzed for association with Bone Mineral Density (BMD), rate of bone loss, hip geometry, quantitative ultrasound and fracture. Additionally, interaction of LRP4 with LRP5, GPR177 and BMP2 were analyzed. LRP4 (rs6485702) was associated with higher total body (TB) and lumbar spine (LS) BMD in the PEAK-25 cohort (p=0.006 and 0.005 respectively), and interaction was observed with LRP5 (p=0.007) and BMP2 (p=0.004) for TB BMD. LRP4 also showed significant interaction with LRP5 for femoral neck (FN) and LS BMD in this cohort. In the OPRA cohort, LRP4 polymorphisms were associated with significantly lower fracture incidence overall (p=0.008-0.001) and fewer hip fractures (rs3816614, p=0.006). Significant interaction in the OPRA cohort was observed for LRP4 with BMP2 and GPR177 for FN BMD as well as for rate of bone loss at TB and FN (p=0.007-0.0001). In conclusion, LRP4 and interaction between LRP4 and genes in the Wnt and BMP signaling pathways modulate bone phenotypes including peak bone mass and fracture, the clinical endpoint of osteoporosis.
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| 10. |
- Kumar, Jitender, et al.
(författare)
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No Evidence of a Causal Relationship between Plasma Homocysteine and Type 2 Diabetes : A Mendelian Randomization Study
- 2015
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Ingår i: Frontiers in Cardiovascular Medicine. - : Frontiers Media SA. - 2297-055X. ; 2
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Several observational studies have shown an association between increased circulating homocysteine and risk of type 2 diabetes (T2D). We aimed to assess whether this relation is causal using genetic data from large populations of individuals of European descent.METHODS: We investigated the association between homocysteine concentrations and blood glucose, plasma insulin, T2D in the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) cohort (n = 1,016). A score of five previously published single nucleotide polymorphisms (SNPs) from genes involved in homocysteine metabolism were utilized as genetic instrument for homocysteine concentrations. The effect estimate of this genetic score with T2D was determined using results from the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) consortium (including 34,840 cases and 114,981 controls). Further, the effects of the genetic score with fasting glucose and insulin were determined using results from the Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) (up to 38,238 non-diabetic participants).RESULTS: The genetic score provided a strong instrument for homocysteine concentrations (P = 2.7 × 10(-143), F = 650). In the PIVUS cohort, we found an association of homocysteine with fasting insulin [β = 0.056 (95% CI 0.021, 0.090), P = 0.001], but not with incident diabetes. We did not find any evidence of a causal effect of homocysteine on fasting glucose, fasting insulin, or T2D (P > 0.05 for all analyses) when using data from DIAGRAM or MAGIC studies.CONCLUSION: No evidence of a causal relationship of levels of plasma homocysteine with fasting glucose, fasting insulin, or T2D was observed.
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