Your browser doesn't support javascript.
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 143
Filtrar
1.
Artigo em Inglês | MEDLINE | ID: mdl-31974565

RESUMO

CONTEXT: Common genetic susceptibility may underlie the frequently observed co-occurrence of type 1 and type 2 diabetes in families. Given the role of HLA class II genes in the pathophysiology of type 1 diabetes, the aim of the present study was to test the association of high density imputed HLA genotypes with type 2 diabetes. OBJECTIVES AND DESIGN: Three cohorts (Ntotal=10,413) from Leipzig, Germany were included in this study: LIFE-Adult (N=4649), LIFE-Heart (N=4815) and the Sorbs (N=949) cohort. Detailed metabolic phenotyping and genome-wide SNP data were available for all subjects. Using 1000 Genome imputation data, HLA genotypes were imputed on 4 digit level and association tests for type 2 diabetes and related metabolic traits were conducted. RESULTS: In a meta-analysis including all three cohorts, the absence of HLA-DRB5 was associated with increased risk of type 2 diabetes (p=0.001). In contrast, HLA-DQB*06:02 and HLA-DQA*01:02 had a protective effect on type 2 diabetes (p=0.005 and 0.003, respectively). Both alleles are part of the well-established type 1 diabetes protective haplotype DRB1*15:01~DQA1*01:02~DQB1*06:02 which was also associated with reduced risk of type 2 diabetes (OR=0.84, p=0.005). Contrary, the DRB1*07:01~DQA1*02:01~DQB1*03:03 was identified as a risk haplotype in non-insulin treated diabetes (OR=1.37, p=0.002). CONCLUSIONS: Genetic variation in the HLA class II locus exerts risk and protective effects on non-insulin treated type 2 diabetes. Our data suggest that the genetic architecture of type 1 diabetes and type 2 diabetes might share common components on the HLA class II locus.

2.
Artigo em Inglês | MEDLINE | ID: mdl-31765281

RESUMO

Background: Patients with cardiac complaints but without confirmed diagnosis of coronary heart disease by angiography frequently develop cardiac events in the following years. This follow-up study investigated the frequency of cardiac symptoms and cardiovascular events (CVE) 5 years after initial angiography of patients with nonobstructive coronary artery disease (NobCAD, LIFE Heart study), with the aim to identify gender-specific indicators for CVE. Methods: In 2014/2015, 1462 women and men with NobCAD, defined as no or non-relevant obstructive coronary artery disease were identified among 2660 subjects participating in the observational angiographic LIFE Heart study. Questionnaires of 820 responding patients were analyzed. Results: The median observation time was 55 months. Cardiac symptoms were found in 53.6% of all patients, significantly more often in women than in men (59.4% vs. 48.8%; p = 0.002). CVE occurred in 46.1% of all participants (n = 378/820). Patients with cardiac symptoms had a 2.94 time higher risk for CVE than those without cardiac symptoms (p < 0.001). Men with no cardiac symptoms had significantly more CVE (p = 0.042) than women. Common risk factors for CVE comprised cardiac symptoms, atrial fibrillation, and age. Sex-specific risk factors comprised body mass index (BMI) ≥25 kg/m2 for women and anxiety for men. Conclusions: Patients with cardiac symptoms have about three times higher risk for CVE within 5 years than patients without cardiac symptoms. Sex differences exist in patients without symptoms where men were at higher risk for CVE. Atrial fibrillation was the strongest indicator for CVE, whereas anxiety was an indicator only in men and BMI ≥25 kg/m2 only in women, suggesting sex- and gender-specific phenotypic profiles.

3.
Mol Metab ; 29: 76-85, 2019 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-31668394

RESUMO

OBJECTIVE: Human blood metabolites are influenced by a number of lifestyle and environmental factors. Identification of these factors and the proper quantification of their relevance provides insights into human biological and metabolic disease processes, is key for standardized translation of metabolite biomarkers into clinical applications, and is a prerequisite for comparability of data between studies. However, so far only limited data exist from large and well-phenotyped human cohorts and current methods for analysis do not fully account for the characteristics of these data. The primary aim of this study was to identify, quantify and compare the impact of a comprehensive set of clinical and lifestyle related factors on metabolite levels in three large human cohorts. To achieve this goal, we improve current methodology by developing a principled analysis approach, which could be translated to other cohorts and metabolite panels. METHODS: 63 Metabolites (amino acids, acylcarnitines) were quantified by liquid chromatography tandem mass spectrometry in three cohorts (total N = 16,222). Supported by a simulation study evaluating various analytical approaches, we developed an analysis pipeline including preprocessing, identification, and quantification of factors affecting metabolite levels. We comprehensively identified uni- and multivariable metabolite associations considering 29 environmental and clinical factors and performed metabolic pathway enrichment and network analyses. RESULTS: Inverse normal transformation of batch corrected and outlier removed metabolite levels accompanied by linear regression analysis proved to be the best suited method to deal with the metabolite data. Association analyses revealed numerous uni- and multivariable significant associations. 15 of the analyzed 29 factors explained >1% of variance for at least one of the metabolites. Strongest factors are application of steroid hormones, reticulocytes, waist-to-hip ratio, sex, haematocrit, and age. Effect sizes of factors are comparable across studies. CONCLUSIONS: We introduced a principled approach for the analysis of MS data allowing identification, and quantification of effects of clinical and lifestyle factors with metabolite levels. We detected a number of known and novel associations broadening our understanding of the regulation of the human metabolome. The large heterogeneity observed between cohorts could almost completely be explained by differences in the distribution of influencing factors emphasizing the necessity of a proper confounder analysis when interpreting metabolite associations.

4.
PLoS One ; 14(10): e0222927, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31661534

RESUMO

INTRODUCTION: Chronic pancreatitis (CP) may be caused by oxidative stress. An important source of reactive oxygen species (ROS) is the methylglyoxal-derived formation of advanced glycation endproducts (AGE). Methylglyoxal is detoxified by Glyoxalase I (GLO1). A reduction in GLO1 activity results in increased ROS. Single nucleotide polymorphisms (SNPs) of GLO1 have been linked to various inflammatory diseases. Here, we analyzed whether common GLO1 variants are associated with alcoholic (ACP) and non-alcoholic CP (NACP). METHODS: Using melting curve analysis, we genotyped a screening cohort of 223 ACP, 218 NACP patients, and 328 controls for 11 tagging SNPs defined by the SNPinfo LD TAG SNP Selection tool and the functionally relevant variant rs4746. For selected variants the cohorts were extended to up to 1,441 patient samples. RESULTS: In the ACP cohort, comparison of genotypes for rs1937780 between patients and controls displayed an ambiguous result in the screening cohort (p = 0.08). However, in the extended cohort of 1,441 patients no statistically significant association was found for the comparison of genotypes (p = 0.11), nor in logistic regression analysis (p = 0.214, OR 1.072, 95% CI 0.961-1.196). In the NACP screening cohort SNPs rs937662, rs1699012, and rs4746 displayed an ambiguous result when patients were compared to controls in the recessive or dominant model (p = 0.08, 0.08, and 0.07, respectively). Again, these associations were not confirmed in the extended cohorts (rs937662, dominant model: p = 0.07, logistic regression: p = 0.07, OR 1.207, 95% CI 0.985-1.480) or in the replication cohorts for rs4746 (Germany, p = 0.42, OR 1.080, 95% CI 0.673-1.124; France, p = 0.19, OR 0.90, 95% CI 0.76-1.06; China, p = 0.24, OR 1.18, 95% CI 0.90-1.54) and rs1699012 (Germany, Munich; p = 0.279, OR 0.903, 95% CI 0.750-1.087). CONCLUSIONS: Common GLO1 variants do not increase chronic pancreatitis risk.

5.
Nat Genet ; 51(11): 1624-1636, 2019 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-31636452

RESUMO

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

6.
JAMA Netw Open ; 2(9): e1910915, 2019 Sep 04.
Artigo em Inglês | MEDLINE | ID: mdl-31539074

RESUMO

Importance: Observational studies have shown associations of birth weight with type 2 diabetes (T2D) and glycemic traits, but it remains unclear whether these associations represent causal associations. Objective: To test the association of birth weight with T2D and glycemic traits using a mendelian randomization analysis. Design, Setting, and Participants: This mendelian randomization study used a genetic risk score for birth weight that was constructed with 7 genome-wide significant single-nucleotide polymorphisms. The associations of this score with birth weight and T2D were tested in a mendelian randomization analysis using study-level data. The association of birth weight with T2D was tested using both study-level data (7 single-nucleotide polymorphisms were used as an instrumental variable) and summary-level data from the consortia (43 single-nucleotide polymorphisms were used as an instrumental variable). Data from 180 056 participants from 49 studies were included. Main Outcomes and Measures: Type 2 diabetes and glycemic traits. Results: This mendelian randomization analysis included 49 studies with 41 155 patients with T2D and 80 008 control participants from study-level data and 34 840 patients with T2D and 114 981 control participants from summary-level data. Study-level data showed that a 1-SD decrease in birth weight due to the genetic risk score was associated with higher risk of T2D among all participants (odds ratio [OR], 2.10; 95% CI, 1.69-2.61; P = 4.03 × 10-5), among European participants (OR, 1.96; 95% CI, 1.42-2.71; P = .04), and among East Asian participants (OR, 1.39; 95% CI, 1.18-1.62; P = .04). Similar results were observed from summary-level analyses. In addition, each 1-SD lower birth weight was associated with 0.189 SD higher fasting glucose concentration (ß = 0.189; SE = 0.060; P = .002), but not with fasting insulin, 2-hour glucose, or hemoglobin A1c concentration. Conclusions and Relevance: In this study, a genetic predisposition to lower birth weight was associated with increased risk of T2D and higher fasting glucose concentration, suggesting genetic effects on retarded fetal growth and increased diabetes risk that either are independent of each other or operate through alterations of integrated biological mechanisms.

7.
J Clin Endocrinol Metab ; 104(11): 5621-5632, 2019 Nov 01.
Artigo em Inglês | MEDLINE | ID: mdl-31361301

RESUMO

CONTEXT: Despite the emerging evidence on the role of oxytocin (OXT) in metabolic diseases, there is a lack of well-powered studies addressing the relationship of circulating OXT with obesity and diabetes. OBJECTIVES AND DESIGN: Here, we measured OXT in a study cohort (n = 721; 396 women, 325 men; mean age ± SD, 47.7 ± 15.2 years) with subphenotypes related to obesity, including anthropometric traits such as body mass index [BMI (mean ± SD), 26.8 ± 4.6 kg/m2], waist-to-hip ratio (WHR; 0.88 ± 0.09), blood parameters (glucose, 5.32 ± 0.50 mmol/L; insulin, 5.3 ± 3.3 µU/mL), and oral glucose tolerance test to clarify the association with OXT. We also tested in a genome-wide association study (GWAS) whether the interindividual variation in OXT serum levels might be explained by genetic variation. RESULTS: The OXT concentration was increased in subjects with elevated BMI and positively correlated with WHR, waist circumference, and triglyceride levels. The OXT concentration in subjects with BMI <25 kg/m2 was significantly lower (n = 256; 78.6 pg/mL) than in subjects with a BMI between 25 and 30 kg/m2 (n = 314; 98.5 pg/mL, P = 6 × 10-6) and with BMI >30 kg/m2 (n = 137; 106.4 pg/mL, P = 8 × 10-6). OXT levels were also positively correlated with plasma glucose and insulin and were elevated in subjects with impaired glucose tolerance (P = 4.6 × 10-3). Heritability of OXT was estimated at 12.8%. In a GWAS, two hits in linkage disequilibrium close (19 kb) to the OXT reached genome-wide significant association (top-hit rs12625893, P = 3.1 × 10-8, explained variance 3%). CONCLUSIONS: Our data show that OXT is genetically affected by a variant near OXT and is associated with obesity and impaired glucose tolerance.

8.
J Clin Endocrinol Metab ; 104(11): 5008-5023, 2019 Nov 01.
Artigo em Inglês | MEDLINE | ID: mdl-31169883

RESUMO

CONTEXT: Steroid hormones are important regulators of physiological processes in humans and are under genetic control. A link to coronary artery disease (CAD) is supposed. OBJECTIVE: Our main objective was to identify genetic loci influencing steroid hormone levels. As a secondary aim, we searched for causal effects of steroid hormones on CAD. DESIGN: We conducted genome-wide meta-association studies for eight steroid hormones: cortisol, dehydroepiandrosterone sulfate (DHEAS), estradiol, and testosterone in two independent cohorts (LIFE-Adult, LIFE-Heart, maximum n = 7667), and progesterone, 17-hydroxyprogesterone, androstenedione, and aldosterone in LIFE-Heart only (maximum n = 2070). All genome-wide significant loci were tested for sex interactions. Furthermore, we tested whether previously reported CAD single-nucleotide polymorphisms were associated with our steroid hormone panel and investigated causal links between hormone levels and CAD status using Mendelian randomization (MR) approaches. RESULTS: We discovered 15 novel associated loci for 17-hydroxyprogesterone, progesterone, DHEAS, cortisol, androstenedione, and estradiol. Five of these loci relate to genes directly involved in steroid metabolism, that is, CYP21A1, CYP11B1, CYP17A1, STS, and HSD17B12, almost completing the set of steroidogenic enzymes with genetic associations. Sexual dimorphisms were found for seven of the novel loci. Other loci correspond, for example, to the WNT4/ß-catenin pathway. MR revealed that cortisol, androstenedione, 17-hydroxyprogesterone, and DHEA-S had causal effects on CAD. We also observed enrichment of cortisol and testosterone associations among known CAD hits. CONCLUSION: Our study greatly improves insight into genetic regulation of steroid hormones and their dependency on sex. These results could serve as a basis for analyzing sexual dimorphism in other complex diseases.

10.
Crit Care ; 23(1): 110, 2019 04 04.
Artigo em Inglês | MEDLINE | ID: mdl-30947753

RESUMO

BACKGROUND: CAP (Community acquired pneumonia) is frequent, with a high mortality rate and a high burden on health care systems. Development of predictive biomarkers, new therapeutic concepts, and epidemiologic research require a valid, reproducible, and quantitative measure describing CAP severity. METHODS: Using time series data of 1532 patients enrolled in the PROGRESS study, we compared putative measures of CAP severity for their utility as an operationalization. Comparison was based on ability to correctly identify patients with an objectively severe state of disease (death or need for intensive care with at least one of the following: substantial respiratory support, treatment with catecholamines, or dialysis). We considered IDSA/ATS minor criteria, CRB-65, CURB-65, Halm criteria, qSOFA, PSI, SCAP, SIRS-Score, SMART-COP, and SOFA. RESULTS: SOFA significantly outperformed other scores in correctly identifying a severe state of disease at the day of enrollment (AUC = 0.948), mainly caused by higher discriminative power at higher score values. Runners-up were the sum of IDSA/ATS minor criteria (AUC = 0.916) and SCAP (AUC = 0.868). SOFA performed similarly well on subsequent study days (all AUC > 0.9) and across age groups. In univariate and multivariate analysis, age, sex, and pack-years significantly contributed to higher SOFA values whereas antibiosis before hospitalization predicted lower SOFA. CONCLUSIONS: SOFA score can serve as an excellent operationalization of CAP severity and is proposed as endpoint for biomarker and therapeutic studies. TRIAL REGISTRATION: clinicaltrials.gov NCT02782013 , May 25, 2016, retrospectively registered.

11.
Noncoding RNA ; 5(2)2019 03 29.
Artigo em Inglês | MEDLINE | ID: mdl-30934986

RESUMO

Cardiovascular disease (CVD) remains the leading cause of death worldwide and, despite continuous advances, better diagnostic and prognostic tools, as well as therapy, are needed. The human transcriptome, which is the set of all RNA produced in a cell, is much more complex than previously thought and the lack of dialogue between researchers and industrials and consensus on guidelines to generate data make it harder to compare and reproduce results. This European Cooperation in Science and Technology (COST) Action aims to accelerate the understanding of transcriptomics in CVD and further the translation of experimental data into usable applications to improve personalized medicine in this field by creating an interdisciplinary network. It aims to provide opportunities for collaboration between stakeholders from complementary backgrounds, allowing the functions of different RNAs and their interactions to be more rapidly deciphered in the cardiovascular context for translation into the clinic, thus fostering personalized medicine and meeting a current public health challenge. Thus, this Action will advance studies on cardiovascular transcriptomics, generate innovative projects, and consolidate the leadership of European research groups in the field.COST (European Cooperation in Science and Technology) is a funding organization for research and innovation networks (www.cost.eu).

12.
Lipids ; 54(4): 203-210, 2019 04.
Artigo em Inglês | MEDLINE | ID: mdl-30883766

RESUMO

VASPIN, visceral adipose tissue-derived serpin, is an adipokine ameliorating insulin resistance in obesity. Here, we investigated the role of VASPIN and its genetic variants in lipid metabolism. We measured serum VASPIN concentrations by ELISA in 823 metabolically well-characterized Caucasian subjects (Sorbs from Germany). Furthermore, we genotyped 30 representative single nucleotide polymorphisms (SNP) in two independent cohorts with metabolic phenotyping, the Sorbs (N = 823) and Leipzig (N = 919), and conducted genotype-phenotype association analyses. Circulating VASPIN strongly correlated with triacylglycerol levels (TAG; p = 1.079 × 10-11 ), and moderately with apolipoprotein A1 and low-density lipoprotein cholesterol (p = 0.026). Genetic variants in VASPIN were nominally associated with cholesterol, high-density and low-density lipoprotein (HDL-chol, LDL-chol), lipoprotein A, and apolipoprotein B as well as with TAG and free fatty acids (all p < 0.05 adjusted for age, sex, and body mass index [BMI]). Mendelian randomization analysis using VASPIN SNP as an instrumental variable showed borderline influence of VASPIN on LDL-chol levels (p = 0.05). Associations of VASPIN and its genetic variation with metabolic traits suggest a role of VASPIN in human lipid metabolism.


Assuntos
Adipocinas/sangue , Serpinas/sangue , Adulto , Apolipoproteína A-I/sangue , Apolipoproteínas B/sangue , Ensaio de Imunoadsorção Enzimática , Feminino , Humanos , Metabolismo dos Lipídeos/fisiologia , Lipoproteína(a)/sangue , Masculino , Pessoa de Meia-Idade , Obesidade/sangue , Triglicerídeos/sangue
13.
Circ Genom Precis Med ; 12(4): e002470, 2019 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-30896328

RESUMO

BACKGROUND: The Genetics of Subsequent Coronary Heart Disease (GENIUS-CHD) consortium was established to facilitate discovery and validation of genetic variants and biomarkers for risk of subsequent CHD events, in individuals with established CHD. METHODS: The consortium currently includes 57 studies from 18 countries, recruiting 185 614 participants with either acute coronary syndrome, stable CHD, or a mixture of both at baseline. All studies collected biological samples and followed-up study participants prospectively for subsequent events. RESULTS: Enrollment into the individual studies took place between 1985 to present day with a duration of follow-up ranging from 9 months to 15 years. Within each study, participants with CHD are predominantly of self-reported European descent (38%-100%), mostly male (44%-91%) with mean ages at recruitment ranging from 40 to 75 years. Initial feasibility analyses, using a federated analysis approach, yielded expected associations between age (hazard ratio, 1.15; 95% CI, 1.14-1.16) per 5-year increase, male sex (hazard ratio, 1.17; 95% CI, 1.13-1.21) and smoking (hazard ratio, 1.43; 95% CI, 1.35-1.51) with risk of subsequent CHD death or myocardial infarction and differing associations with other individual and composite cardiovascular endpoints. CONCLUSIONS: GENIUS-CHD is a global collaboration seeking to elucidate genetic and nongenetic determinants of subsequent event risk in individuals with established CHD, to improve residual risk prediction and identify novel drug targets for secondary prevention. Initial analyses demonstrate the feasibility and reliability of a federated analysis approach. The consortium now plans to initiate and test novel hypotheses as well as supporting replication and validation analyses for other investigators.

14.
PLoS Comput Biol ; 15(3): e1006775, 2019 03.
Artigo em Inglês | MEDLINE | ID: mdl-30840616

RESUMO

BACKGROUND: Thrombocytopenia is a major side-effect of cytotoxic cancer therapies. The aim of precision medicine is to develop therapy modifications accounting for the individual's risk. METHODOLOGY/PRINCIPLE FINDINGS: To solve this task, we develop an individualized bio-mechanistic model of the dynamics of bone marrow thrombopoiesis, circulating platelets and therapy effects thereon. Comprehensive biological knowledge regarding cell differentiation, amplification, apoptosis rates, transition times and corresponding regulations are translated into ordinary differential equations. A model of osteoblast/osteoclast interactions was incorporated to mechanistically describe bone marrow support of quiescent cell stages. Thrombopoietin (TPO) as a major regulator is explicitly modelled including pharmacokinetics and-dynamics of TPO injections. Effects of cytotoxic drugs are modelled by transient depletions of proliferating cells. To calibrate the model, we used population data from the literature and close-meshed individual data of N = 135 high-grade non-Hodgkin's lymphoma patients treated with CHOP-like chemotherapies. To limit the number of free parameters, several parsimony assumptions were derived from biological data and tested via Likelihood methods. Heterogeneity of patients was explained by a few model parameters. The over-fitting issue of individual parameter estimation was successfully dealt with a virtual participation of each patient in population-based experiments. The model qualitatively and quantitatively explains a number of biological observations such as the role of osteoblasts in explaining long-term toxic effects, megakaryocyte-mediated feedback on stem cells, bi-phasic stimulation of thrombopoiesis by TPO, dynamics of megakaryocyte ploidies and non-exponential platelet degradation. Almost all individual time series could be described with high precision. We demonstrated how the model can be used to provide predictions regarding individual therapy adaptations. CONCLUSIONS: We propose a mechanistic thrombopoiesis model of unprecedented comprehensiveness in both, biological mechanisms considered and experimental data sets explained. Our innovative method of parameter estimation allows robust determinations of individual parameter settings facilitating the development of individual treatment adaptations during chemotherapy.


Assuntos
Antineoplásicos/administração & dosagem , Antineoplásicos/farmacologia , Modelos Biológicos , Trombocitopenia/induzido quimicamente , Trombopoese/efeitos dos fármacos , Antineoplásicos/efeitos adversos , Plaquetas/citologia , Humanos , Linfoma não Hodgkin/tratamento farmacológico , Linfoma não Hodgkin/patologia , Megacariócitos/citologia , Polietilenoglicóis/metabolismo , Células-Tronco/citologia , Trombopoetina/metabolismo , Fatores de Tempo
15.
Mol Psychiatry ; 24(11): 1599-1609, 2019 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-29703947

RESUMO

Arousal affects cognition, emotion, and behavior and has been implicated in the etiology of psychiatric disorders. Although environmental conditions substantially contribute to the level of arousal, stable interindividual characteristics are well-established and a genetic basis has been suggested. Here we investigated the molecular genetics of brain arousal in the resting state by conducting a genome-wide association study (GWAS). We selected N = 1877 participants from the population-based LIFE-Adult cohort. Participants underwent a 20-min eyes-closed resting state EEG, which was analyzed using the computerized VIGALL 2.1 (Vigilance Algorithm Leipzig). At the SNP-level, GWAS analyses revealed no genome-wide significant locus (p < 5E-8), although seven loci were suggestive (p < 1E-6). The strongest hit was an expression quantitative trait locus (eQTL) of TMEM159 (lead-SNP: rs79472635, p = 5.49E-8). Importantly, at the gene-level, GWAS analyses revealed significant evidence for TMEM159 (p = 0.013, Bonferroni-corrected). By mapping our SNPs to the GWAS results from the Psychiatric Genomics Consortium, we found that all corresponding markers of TMEM159 showed nominally significant associations with Major Depressive Disorder (MDD; 0.006 ≤ p ≤ 0.011). More specifically, variants associated with high arousal levels have previously been linked to an increased risk for MDD. In line with this, the MetaXcan database suggests increased expression levels of TMEM159 in MDD, as well as Autism Spectrum Disorder, and Alzheimer's Disease. Furthermore, our pathway analyses provided evidence for a role of sodium/calcium exchangers in resting state arousal. In conclusion, the present GWAS identifies TMEM159 as a novel candidate gene which may modulate the risk for psychiatric disorders through arousal mechanisms. Our results also encourage the elaboration of the previously reported interrelations between ion-channel modulators, sleep-wake behavior, and psychiatric disorders.

16.
Int J Cardiol ; 274: 319-325, 2019 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-30077532

RESUMO

BACKGROUND: A significant proportion of patients develop left ventricular (LV) remodeling leading to heart failure after acute myocardial infarction (AMI). Being able to identify these patients would represent a step forward towards personalized medicine. The present study aimed to determine the ability of cyclin dependent kinase inhibitor 1C (CDKN1C) to risk stratify AMI patients, in a sex-specific manner. METHODS: CDKN1C expression was measured in blood samples obtained at admission in a test cohort of 447 AMI patients and a validation cohort of 294 patients. The study end-point was LV function assessed by the ejection fraction (EF) at follow-up. RESULTS: In the test cohort, CDKN1C was lower in patients with a reduced EF (<40%) compared to patients with preserved EF (≥50%). This observation was specific to women. CDKN1C was a significant univariate predictor of LV function in women only. In multivariable analysis including demographic and clinical parameters, CDKN1C predicted LV function in women (odds ratio [95% confidence interval] 0.44 [0.23-0.82]) but not in men (0.90 [0.70-1.16]). Addition of CDKN1C to a multivariable clinical model reduced the Akaike information criterion, attesting for an incremental predictive value, in women (p = 0.006) but not in men (p = 0.41). Bootstrap internal validation confirmed the added value of CDKN1C in women. The female-specific predictive value of CDKN1C was validated in the independent cohort. CONCLUSION: CDKN1C is a novel female-specific biomarker of LV function after AMI.


Assuntos
Inibidor de Quinase Dependente de Ciclina p57/genética , Regulação da Expressão Gênica , Infarto do Miocárdio/genética , RNA/genética , Volume Sistólico/fisiologia , Função Ventricular Esquerda/fisiologia , Remodelação Ventricular/fisiologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Biomarcadores/sangue , Inibidor de Quinase Dependente de Ciclina p57/biossíntese , Feminino , Seguimentos , Humanos , Masculino , Pessoa de Meia-Idade , Infarto do Miocárdio/sangue , Infarto do Miocárdio/fisiopatologia , Reação em Cadeia da Polimerase , Estudos Retrospectivos , Fatores Sexuais
18.
Atherosclerosis ; 281: 17-24, 2019 02.
Artigo em Inglês | MEDLINE | ID: mdl-30594773

RESUMO

BACKGROUND AND AIMS: Dyslipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). As key regulators of lipoprotein metabolism, apolipoproteins (apos) are discussed as vascular risk factors. This study aimed to analyze associations of major plasma apos with coronary artery disease (CAD), peripheral artery disease (PAD) and carotid artery plaque (CAP) to elucidate their diagnostic potential in risk assessment. METHODS: ApoA-I, apoA-II, apoA-IV, apoB-100, apoC-I, apoC-III, apoE, and apoJ were simultaneously quantified in 3 µL EDTA-plasma by LC-MS/MS in a case-control subgroup of the Leipziger LIFE-Heart Study (N = 911). Confounder analysis with demographic, clinical covariates and serum lipids, cardiac, inflammatory, and hepatic markers were performed. Apos were associated with CAD, CAP, and PAD in a multivariate regression model. RESULTS: Fasting and statin therapy showed strongest effects on apo concentrations. Inverse correlations of HDL-related apos A-I, A-II, A-IV, and C-I were observed for troponin T and interleukin 6. Concentrations of apos A-II, B-100, C-I, and E were decreased under statin therapy. After adjustment for influencing factors and related lipids, only apoB-100 (odds ratio per one SD [OR], 1.39; 95% confidence interval [CI], 1.05-1.84) was independently associated with CAD while apoA-IV (OR, 0.74; 95% CI 0.58-0.95) indicated PAD. ApoB-100 (OR, 1.55; 95% CI, 1.18-2.04), apoC-III (OR, 1.30; 95% CI, 1.06-1.58), and apoE (OR, 1.34; 95% CI, 1.13-1.58) were associated with CAP. CONCLUSIONS: Triglyceride rich lipoproteins (TRLs) associated apos A-IV, B-100, C-III, and E are independently associated with stable ASCVD, providing further evidence for a potential role of TRLs in atherogenesis.

19.
Nat Commun ; 9(1): 5141, 2018 12 03.
Artigo em Inglês | MEDLINE | ID: mdl-30510157

RESUMO

Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.


Assuntos
Espessura Intima-Media Carotídea , Doença das Coronárias/genética , Predisposição Genética para Doença/genética , Estudo de Associação Genômica Ampla/métodos , Placa Aterosclerótica/genética , Proteína ADAMTS9/genética , Aminoácido Oxirredutases/genética , Doença das Coronárias/patologia , Humanos , Escore Lod , Placa Aterosclerótica/patologia , Polimorfismo de Nucleotídeo Único , Locos de Características Quantitativas/genética , Fatores de Risco
20.
Nat Commun ; 9(1): 3945, 2018 09 26.
Artigo em Inglês | MEDLINE | ID: mdl-30258056

RESUMO

The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (ρgenetic = -0.59, p-value = 3.14 × 10-6), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology.


Assuntos
Genoma Humano , Ventrículos Laterais/anatomia & histologia , Idoso , Estudo de Associação Genômica Ampla , Humanos , Pessoa de Meia-Idade , Tamanho do Órgão/genética
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA