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- 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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