| 21. |
- Wang, Yunzhang, et al.
(författare)
-
Epigenetic influences on aging : a longitudinal genome-wide methylation study in old Swedish twins
- 2018
-
Ingår i: Epigenetics. - : Informa UK Limited. - 1559-2294 .- 1559-2308. ; 13:9, s. 975-987
-
Tidskriftsartikel (refereegranskat)abstract
- Age-related changes in DNA methylation were observed in cross-sectional studies, but longitudinal evidence is still limited. Here, we aimed to characterize longitudinal age-related methylation patterns using 1011 blood samples collected from 385 Swedish twins (age at entry: mean 69 and standard deviation 9.7, 73 monozygotic and 96 dizygotic pairs) up to five times (mean 2.6) over 20 years (mean 8.7). We identified 1316 age-associated methylation sites (P<1.3x10(-7)) using a longitudinal epigenome-wide association study design. We measured how estimated cellular compositions changed with age and how much they confounded the age effect. We validated the results in two independent longitudinal cohorts, where 118 CpGs were replicated in Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS, 390 samples) (P<3.9x10(-5)), 594 in Lothian Birth Cohort (LBC, 3018 samples) (P<5.1x10(-5)) and 63 in both. Functional annotation of age-associated CpGs showed enrichment in CCCTC-binding factor (CTCF) and other transcription factor binding sites. We further investigated genetic influences on methylation and found no interaction between age and genetic effects in the 1316 age-associated CpGs. Moreover, in the same CpGs, methylation differences within twin pairs increased with 6.4% over 10 years, where monozygotic twins had smaller intra-pair differences than dizygotic twins. In conclusion, we show that age-related methylation changes persist in a longitudinal perspective, and are fairly stable across cohorts. The changes are under genetic influence, although this effect is independent of age. Moreover, methylation variability increase over time, especially in age-associated CpGs, indicating the increase of environmental contributions on DNA methylation with age.
|
|
| 22. |
- Wheeler, Eleanor, et al.
(författare)
-
Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations : A transethnic genome-wide meta-analysis
- 2017
-
Ingår i: PLoS Medicine. - : PUBLIC LIBRARY SCIENCE. - 1549-1277 .- 1549-1676. ; 14:9
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Glycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or glycemic (associated with other glucose-related traits). In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes.Methods & findings: Using genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E) or glycemic variants (GS-G) were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241). Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95% CI 1.04-1.06, per HbA1c-raising allele, p = 3 x 10-29); whereas GS-E was not (OR = 1.00, 95% CI 0.99-1.01, p = 0.60). In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in African Americans, the X-linked G6PD G202A variant (T-allele frequency 11%) was associated with an absolute decrease in HbA1c of 0.81%-units (95% CI 0.66-0.96) per allele in hemizygous men, and 0.68%-units (95% CI 0.38-0.97) in homozygous women. The G6PD variant may cause approximately 2% (N = 0.65 million, 95% CI0.55-0.74) of African American adults with T2Dto remain undiagnosed when screened with HbA1c. Limitations include the smaller sample sizes for non-European ancestries and the inability to classify approximately one-third of the variants. Further studies in large multiethnic cohorts with HbA1c, glycemic, and erythrocytic traits are required to better determine the biological action of the unclassified variants.Conclusions: As G6PD deficiency can be clinically silent until illness strikes, we recommend investigation of the possible benefits of screening for the G6PD genotype along with using HbA1c to diagnose T2D in populations of African ancestry or groups where G6PD deficiency is common. Screening with direct glucose measurements, or genetically-informed HbA1c diagnostic thresholds in people with G6PD deficiency, may be required to avoid missed or delayed diagnoses.
|
|
| 23. |
- Bandaru, Manoj Kumar, 1987-, et al.
(författare)
-
Apoc2 mutant zebrafish: a model for hypertriglyceridemia and early-stage atherosclerosis
-
Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Zebrafish larvae in a hypertriglyceridemic background can be useful to identify and characterize causal genes for triglyceride metabolism. A previous, small-scale study suggested that apolipoprotein C-II (apoc2)-mutant zebrafish larvae can be used to model hypertriglyceridemia-induced atherosclerosis. We aimed to replicate these findings in a large-scale study and asses if APOC-II may represent a useful therapeutic target. We generated apoc2 mutant zebrafish using CRISPR-Cas9 and examined cardiometabolomic traits in their offspring (F1 generation). Systematic characterization of 384 larvae using our image and assay-based, high-throughput pipeline showed that compound heterozygous larvae for loss of function mutations in apoc2 (n=35) have higher whole-body levels of triglycerides (0.71±0.16 SD), HDL cholesterol (0.32±0.15 SD) and total cholesterol (0.37±0.18 SD), and a trend for lower whole-body glucose levels (0.23±0.14 SD) compared with larvae without mutations in apoc2 (n=174). Such larvae also tended to have more vascular lipid deposition, however this effect did not reach significance (P=0.12). Interestingly, the trends for lower whole-body glucose levels and more vascular lipid deposition in larvae with anticipated loss of functional apoc2 reached significance when larvae (n=3812) from other screens, in which apoc2 was not experimentally perturbed were included as additional wildtype controls. Thus, our large-scale study confirms the role of apoc2 in hypertriglyceridemia and early-stage atherosclerosis. While apoc2 mutant zebrafish model can be used as a genetic background to identify and characterize causal genes for triglyceride metabolism, independent and opposite effects on triglycerides and glucose suggest that APOC-II is likely not a suitable target for prevention and treatment of coronary artery disease.
|
|
| 24. |
- Bandaru, Manoj Kumar, 1987-, et al.
(författare)
-
Image-based, in vivo characterization of cardiometabolic consequences of mutations in pcsk9
-
Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Based on the association of loss-of-function mutations in proprotein convertase subtilisin/kexin type 9 (PCSK9) with low plasma LDL cholesterol levels, inhibition of the PCSK9 protein using monoclonal antibodies have emerged as an effective treatment option to lower LDL cholesterol levels and reduce the risk of coronary artery disease. Despite these beneficial effects, PCSK9 inhibitors may increase the risk of diabetes. In this study, we mimicked the mechanistic action of PCSK9 inhibitors in humans by inducing mutations in pcsk9 in zebrafish and examining their effects on dyslipidemia, early-stage atherosclerosis and diabetes-related traits in data from nearly 5000 zebrafish larvae. At 10 days of age, larvae with mutations in pcsk9 were characterized by lower whole-body LDL cholesterol levels (beta±SE -0.056±0.025 SD units) and protection against early-stage atherosclerosis, with less vascular lipid deposition (-0.133±0.035 SD) and less co-localization of macrophages with lipids (-0.086±0.032 SD). Mutant larvae also had fewer pancreatic β-cells (-0.153±0.055 SD). Thus, our findings in pcsk9 mutant larvae are in line with results from people carrying loss-of-function PCSK9 mutations, and are also in line with the effects of PCSK9 inhibitors in humans. Further, our results suggest that mutations in pcsk9 may increase the risk of diabetes through a direct effect on pancreatic β-cells.
|
|
| 25. |
- Berndt, Sonja I., et al.
(författare)
-
Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
- 2013
-
Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 45:5, s. 501-U69
-
Tidskriftsartikel (refereegranskat)abstract
- Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.
|
|
| 26. |
- Bonamy, Anna-Karin Edstedt, et al.
(författare)
-
Birth characteristics and subsequent risks of maternal cardiovascular disease : effects of gestational age and fetal growth
- 2011
-
Ingår i: Circulation. - 0009-7322 .- 1524-4539. ; 124:25, s. 2839-2846
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Prior studies showing an inverse relationship between low birth weight in offspring and maternal risks of cardiovascular diseases (CVD) are limited by lack of information on gestational age and/or insufficient adjustment for confounders.METHODS AND RESULTS: In a nationwide Swedish study, we included information on 923 686 women and their first singleton births between 1983 and 2005. Cox proportional hazards models were used to study associations between gestational length, fetal growth, and maternal incident hospitalization or death from CVD (coronary heart disease, cerebrovascular events, and heart failure). Multivariable adjusted models accounted for birth year, income, education, country of birth, smoking, diabetes mellitus, hypertension, and preeclampsia. The risk of maternal CVD increased with decreasing gestational age whereas the risk increase related to fetal growth appeared to be restricted to very small-for-gestational-age (SGA) infants. Compared with mothers of non-SGA infants born at term, the hazard ratio of CVD ranged from 1.39 (95% confidence interval 1.22-1.58) to 2.57 (95% confidence interval 1.97-3.34) among mothers to moderately and very preterm infants, respectively. There was a significant interaction between preterm birth and fetal growth with respect to mothers' risk of CVD (P<0.001). Among mothers to very SGA infants, the hazard ratio of CVD ranged from 1.38 (95% confidence interval 1.15-1.65) to 3.40 (95% confidence interval 2.26-5.11) in mothers to term and very preterm infants, respectively.CONCLUSIONS: Delivery of a preterm or SGA infant is associated with later life maternal hospitalization or death from CVD even after accounting for socioeconomic factors, smoking, and pregnancy-related complications.
|
|
| 27. |
- Broeckling, Corey D., et al.
(författare)
-
Assigning precursor-product ion relationships in indiscriminant MS/MS data from non-targeted metabolite profiling studies
- 2013
-
Ingår i: Metabolomics. - : Springer Science and Business Media LLC. - 1573-3882 .- 1573-3890. ; 9:1, s. 33-43
-
Tidskriftsartikel (refereegranskat)abstract
- Tandem mass spectrometry using precursor ion selection (MS/MS) is an invaluable tool for structural elucidation of small molecules. In non-targeted metabolite profiling studies, instrument duty cycle limitations and experimental costs have driven efforts towards alternate approaches. Recently, researchers have begun to explore methods for collecting indiscriminant MS/MS (idMS/MS) data in which the fragmentation process does not involve precursor ion isolation. While this approach has many advantages, importantly speed, sensitivity and coverage, confident assignment of precursor-product ion relationships is challenging, which has inhibited broad adoption of the technique. Here, we present an approach that uses open source software to improve the assignment of precursor-product relationships in idMS/MS data by appending a dataset-wide correlational analysis to existing tools. The utility of the approach was demonstrated using a dataset of standard compounds spiked into a malt-barley background, as well as unspiked human serum. The workflow was able to recreate idMS/MS spectra which are highly similar to standard MS/MS spectra of authentic standards, even in the presence of a complex matrix background. The application of this approach has the potential to generate high quality idMS/MS spectra for each detectable molecular feature, which will streamline the identification process for non-targeted metabolite profiling studies.
|
|
| 28. |
|
|
| 29. |
- Carlsson, Axel C, et al.
(författare)
-
Growth differentiation factor 15 (GDF-15) is a potential biomarker of both diabetic kidney disease and future cardiovascular events in cohorts of individuals with type 2 diabetes : a proteomics approach
- 2020
-
Ingår i: Upsala Journal of Medical Sciences. - : Uppsala Medical Society. - 0300-9734 .- 2000-1967. ; 25:1, s. 37-43
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Diabetic kidney disease (DKD) is a leading risk factor for end-stage renal disease and is one of the most important risk factors for cardiovascular disease in patients with diabetes. It is possible that novel markers portraying the pathophysiological underpinning processes may be useful.Aim: To investigate the associations between 80 circulating proteins, measured by a proximity extension assay, and prevalent DKD and major adverse cardiovascular events (MACE) in type 2 diabetes.Methods: We randomly divided individuals with type 2 diabetes from three cohorts into a two-thirds discovery and one-third replication set (total n = 813, of whom 231 had DKD defined by estimated glomerular filtration rate <60 mg/mL/1.73 m2 and/or urinary albumin-creatinine ratio ≥3 g/mol). Proteins associated with DKD were also assessed as predictors for incident major adverse cardiovascular events (MACE) in persons with DKD at baseline.Results: Four proteins were positively associated with DKD in models adjusted for age, sex, cardiovascular risk factors, glucose control, and diabetes medication: kidney injury molecule-1 (KIM-1, odds ratio [OR] per standard deviation increment, 1.65, 95% confidence interval [CI] 1.27-2.14); growth differentiation factor 15 (GDF-15, OR 1.40, 95% CI 1.16-1.69); myoglobin (OR 1.57, 95% CI 1.30-1.91), and matrix metalloproteinase 10 (MMP-10, OR 1.43, 95% CI 1.17-1.74). In patients with DKD, GDF-15 was significantly associated with increased risk of MACE after adjustments for baseline age, sex, microalbuminuria, and kidney function and (59 MACE events during 7 years follow-up, hazard ratio per standard deviation increase 1.43 [95% CI 1.03-1.98]) but not after further adjustments for cardiovascular risk factors.Conclusion: Our proteomics approach confirms and extends previous associations of higher circulating levels of GDF-15 with both micro- and macrovascular disease in patients with type 2 diabetes. Our data encourage additional studies evaluating the clinical utility of our findings.
|
|
| 30. |
- Carlsson, Axel C, et al.
(författare)
-
Use of proteomics to investigate kidney function decline over 5 years
- 2017
-
Ingår i: American Society of Nephrology. Clinical Journal. - 1555-9041 .- 1555-905X. ; 12:8, s. 1226-1235
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND AND OBJECTIVES: Using a discovery/replication approach, we investigated associations between a multiplex panel of 80 circulating proteins associated with cardiovascular pathology or inflammation, and eGFR decline per year and CKD incidence.DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We used two cohorts, the Prospective Investigation of the Vasculature in Uppsala Seniors Study (PIVUS; n=687, mean age of 70 years, 51% women) and the Uppsala Longitudinal Study of Adult Men (ULSAM; n=360 men, mean age of 78 years), with 5-year follow-up data on eGFR. There were 231 and 206 incident cases of CKD during follow-up in the PIVUS and ULSAM studies, respectively. Proteomic profiling of 80 proteins was assessed by a multiplex assay (proximity extension assay). The assay uses two antibodies for each protein and a PCR step to achieve a high-specific binding and the possibility to measure multiple proteins in parallel, but gives no absolute concentrations.RESULTS: In the discovery cohort from the PIVUS Study, 28 plasma proteins were significantly associated with eGFR decline per year, taking into account the multiple testing. Twenty of these proteins were significantly associated with eGFR decline per year in the replication cohort from the ULSAM Study after adjustment for age, sex, cardiovascular risk factors, medications, and urinary albumin-to-creatinine ratio (in order of significance: TNF-related apoptosis-inducing ligand receptor 2*, CD40L receptor, TNF receptor 1*, placenta growth factor*, thrombomodulin*, urokinase plasminogen activator surface receptor*, growth/differentiation factor 15*, macrophage colony-stimulating factor 1, fatty acid-binding protein*, cathepsin D, resistin, kallikrein 11*, C-C motif chemokine 3, proteinase-activated receptor 1*, cathepsin L, chitinase 3-like protein 1, TNF receptor 2*, fibroblast growth factor 23*, monocyte chemotactic protein 1, and kallikrein 6). Moreover, 11 of the proteins predicted CKD incidence (marked with * above). No protein consistently predicted eGFR decline per year independently of baseline eGFR in both cohorts.CONCLUSIONS: Several circulating proteins involved in phosphate homeostasis, inflammation, apoptosis, extracellular matrix remodeling, angiogenesis, and endothelial dysfunction were associated with worsening kidney function. Multiplex proteomics appears to be a promising way of discovering novel aspects of kidney disease pathology.
|
|
