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251 Publications visible to you, out of a total of 251
The emergence of dyslexia in the developing brain
Genetical Statistics and Systems Biology

Abstract (Expand)

Developmental dyslexia, a severe deficit in literacy learning, is a neurodevelopmental learning disorder. Yet, it is not clear whether existing neurobiological accounts of dyslexia capture potential … predispositions of the deficit or consequences of reduced reading experience. Here, we longitudinally followed 32 children from preliterate to school age using functional and structural magnetic resonance imaging techniques. Based on standardised and age-normed reading and spelling tests administered at school age, children were classified as 16 dyslexic participants and 16 controls. This longitudinal design allowed us to disentangle possible neurobiological predispositions for developing dyslexia from effects of individual differences in literacy experience. In our sample, the disorder can be predicted already before literacy learning from auditory cortex gyrification and aberrant downstream connectivity within the speech processing system. These results provide evidence for the notion that dyslexia may originate from an atypical maturation of the speech network that precedes literacy instruction.

Authors: Ulrike Kuhl, Nicole E. Neef, Indra Kraft, Gesa Schaadt, Liane Dörr, Jens Brauer, Ivonne Czepezauer, Bent Müller, Arndt Wilcke, Holger Kirsten, Frank Emmrich, Johannes Boltze, Angela D. Friederici, Michael A. Skeide

Date Published: 1st May 2020

Publication Type: Journal article

Adipocytokines are not associated with gestational diabetes mellitus but with pregnancy status.
Genetical Statistics and Systems Biology

Abstract (Expand)

AIMS Adipose tissue-secreted proteins, i.e. adipocytokines, have been identified as potential mediators linking fat mass and adipose tissue dysfunction with impaired glucose homeostasis, alterations …s in the inflammatory status, and risk of diabetes. The aim of this study was to determine whether seven circulating adipocytokines are associated with gestational diabetes mellitus (GDM) or are altered by metabolic and weight changes during pregnancy itself. METHODS A panel of seven adipocytokines (i.e. adiponectin, adipocyte fatty acid-binding protein, chemerin, leptin, Pro-Enkephalin, progranulin, and Pro-Neurotensin) was quantified in serum in a cross-sectional cohort of 222 women with the following three groups matched for age and body mass index: (i) 74 pregnant women with GDM; (ii) 74 pregnant women without GDM; and (iii) 74 non-pregnant and healthy women. A stepwise statistical approach was used by performing pairwise comparisons, principal component analysis (PCA), and partial least square discriminant analysis (PLS-DA). RESULTS Five out of seven adipocytokines were dysregulated between pregnant and non-pregnant women, i.e. adiponectin, chemerin, leptin, Pro-Enkephalin, and progranulin. None of the adipocytokines significantly differed between GDM and non-GDM status during pregnancy. The same five adipocytokines clustered in a principal component representing pregnancy-induced effects. Fasting insulin was the most relevant parameter in the discrimination of GDM as compared to pregnant women without GDM, whereas chemerin and adiponectin were most relevant factors to discriminate pregnancy status. CONCLUSIONS Pregnancy status but not presence of GDM can be distinguished by the seven investigated adipocytokines in discrimination analyses.

Authors: Thomas Ebert, Claudia Gebhardt, Markus Scholz, Dorit Schleinitz, Matthias Blüher, Michael Stumvoll, Peter Kovacs, Mathias Fasshauer, Anke Tönjes

Date Published: 10th Apr 2020

Publication Type: Journal article

Relation of Whole Blood Amino Acid and Acylcarnitine Metabolome to Age, Sex, BMI, Puberty, and Metabolic Markers in Children and Adolescents
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND Changes in the metabolic fingerprint of blood during child growth and development are a largely under-investigated area of research. The examination of such aspects requires a cohort of …f healthy children and adolescents who have been subjected to deep phenotyping, including collection of biospecimens for metabolomic analysis. The present study considered whether amino acid (AA) and acylcarnitine (AC) concentrations are associated with age, sex, body mass index (BMI), and puberty during childhood and adolescence. It also investigated whether there are associations between amino acids (AAs) and acylcarnitines (ACs) and laboratory parameters of glucose and lipid metabolism, as well as liver, kidney, and thyroid parameters. METHODS A total of 3989 dried whole blood samples collected from 2191 healthy participants, aged 3 months to 18 years, from the LIFE Child cohort (Leipzig, Germany) were analyzed using liquid chromatography tandem mass spectrometry to detect levels of 23 AAs, 6 ACs, and free carnitine (C0). Age- and sex-related percentiles were estimated for each metabolite. In addition, correlations between laboratory parameters and levels of the selected AAs and ACs were calculated using hierarchical models. RESULTS Four different age-dependent profile types were identified for AAs and ACs. Investigating the association with puberty, we mainly identified peak metabolite levels at Tanner stages 2 to 3 in girls and stages 3 to 5 in boys. Significant correlations were observed between BMI standard deviation score (BMI-SDS) and certain metabolites, among them, branched-chain (leucine/isoleucine, valine) and aromatic (phenylalanine, tyrosine) amino acids. Most of the metabolites correlated significantly with absolute concentrations of glucose, glycated hemoglobin (HbA1c), triglycerides, cystatin C (CysC), and creatinine. After age adjustment, significant correlations were observed between most metabolites and CysC, as well as HbA1c. CONCLUSIONS During childhood, several AA and AC levels are related to age, sex, BMI, and puberty. Moreover, our data verified known associations but also revealed new correlations between AAs/ACs and specific key markers of metabolic function.

Authors: Josephin Hirschel, Mandy Vogel, Ronny Baber, Antje Garten, Carl Beuchel, Yvonne Dietz, Julia Dittrich, Antje Körner, Wieland Kiess, Uta Ceglarek

Date Published: 1st Apr 2020

Publication Type: Journal article

Nonobstructive Coronary Artery Disease at Angiography and Gender-Specific Indicators for Cardiovascular Events: 5-Year Follow-Up of the LIFE Heart Study
Genetical Statistics and Systems Biology

Abstract (Expand)

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 \textless 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) \geq25 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 \geq25 kg/m2 only in women, suggesting sex- and gender-specific phenotypic profiles.

Authors: Ahmad T. Nauman, Andrej Teren, Samira Zeynalova, Joachim Thiery, Vera Regitz-Zagrosek, Markus Scholz, Ute Seeland

Date Published: 1st Mar 2020

Publication Type: Journal article

Association of proteome and metabolome signatures with severity in patients with community-acquired pneumonia
Genetical Statistics and Systems Biology

Abstract (Expand)

A combined OMICS screening approach of human plasma and serum was used to characterize protein and metabolome signatures displaying association to severity of Community-acquired pneumonia (CAP). 240 … serum and BD P100 EDTA plasma samples from patients diagnosed with CAP, collected during the day of enrolment to the hospital, were analyzed by a metabolomic and proteomic approach, respectively. Disease severity of CAP patients was stratified using the Sequential Organ Failure Assessment (SOFA) score. Quantitative proteome and metabolome data, derived by LC-MS/MS, were associated to SOFA and specific parameters of SOFA using linear regression models adjusted for age, BMI, sex, smoking and technical variables. Both proteome and metabolome profiling revealed remarkable strong changes in plasma and serum composition in relation to severity of CAP. Proteins and metabolites displaying SOFA associated levels are involved in immune response, particularly in processes of lipid metabolism. Proteins, which show an association to SOFA score, are involved in acute phase response, coagulation, complement activation and inflammation. Many of these metabolites and proteins displayed not only associations to SOFA, but also to parameters of SOFA score, which likely reflect the strong influence of lung-, liver-, kidney- and heart-dysfunction on the metabolome and proteome patterns. SIGNIFICANCE: Community-acquired pneumonia is the most frequent infection disease with high morbidity and mortality. So far, only few studies focused on the identification of proteins or metabolites associated to severity of CAP, often based on smaller sample sets. A screening for new diagnostic markers requires extensive sample collections in combination with high quality clinical data. To characterize the proteomic and metabolomics pattern associated to severity of CAP we performed a combined metabolomics and proteomic approach of serum and plasma sample from a multi-center clinical study focused on patients with CAP, requiring hospitalization. The results of this association study of omics data to the SOFA score enable not only an interpretation of changes in molecular patterns with severity of CAP but also an assignment of altered molecules to dysfunctions of respiratory, renal, coagulation, cardiovascular systems as well as liver.

Authors: Manuela Gesell Salazar, Sophie Neugebauer, Tim Kacprowski, Stephan Michalik, Peter Ahnert, Petra Creutz, Maciej Rosolowski, Markus Löffler, Michael Bauer, Norbert Suttorp, Michael Kiehntopf, Uwe Völker

Date Published: 1st Mar 2020

Publication Type: Journal article

HLA Class II Allele Analyses Implicate Common Genetic Components in Type 1 and Non-Insulin-Treated Type 2 Diabetes
Genetical Statistics and Systems Biology

Abstract (Expand)

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 …e 1 diabetes, the aim of the present study was to test the association of high density imputed human leukocyte antigen (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 single nucleotide polymorphism (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 3 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). On the 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.

Authors: Thomas Jacobi, Lucas Massier, Nora Klöting, Katrin Horn, Alexander Schuch, Peter Ahnert, Christoph Engel, Markus Löffler, Ralph Burkhardt, Joachim Thiery, Anke Tönjes, Michael Stumvoll, Matthias Blüher, Ilias Doxiadis, Markus Scholz, Peter Kovacs

Date Published: 1st Mar 2020

Publication Type: Journal article

Sepsis-associated acute respiratory distress syndrome in individuals of European ancestry: a genome-wide association study
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND Acute respiratory distress syndrome (ARDS) is a lung inflammatory process caused mainly by sepsis. Most previous studies that identified genetic risks for ARDS focused on candidates with …h biological relevance. We aimed to identify novel genetic variants associated with ARDS susceptibility and to provide complementary functional evidence of their effect in gene regulation. METHODS We did a case-control genome-wide association study (GWAS) of 1935 European individuals, using patients with sepsis-associated ARDS as cases and patients with sepsis without ARDS as controls. The discovery stage included 672 patients admitted into a network of Spanish intensive care units between January, 2002, and January, 2017. The replication stage comprised 1345 individuals from two independent datasets from the MESSI cohort study (Sep 22, 2008-Nov 30, 2017; USA) and the VISEP (April 1, 2003-June 30, 2005) and MAXSEP (Oct 1, 2007-March 31, 2010) trials of the SepNet study (Germany). Results from discovery and replication stages were meta-analysed to identify association signals. We then used RNA sequencing data from lung biopsies, in-silico analyses, and luciferase reporter assays to assess the functionallity of associated variants. FINDINGS We identified a novel genome-wide significant association with sepsis-associated ARDS susceptibility (rs9508032, odds ratio [OR] 0·61, 95% CI 0·41-0·91, p=5·18 \times 10-8) located within the Fms-related tyrosine kinase 1 (FLT1) gene, which encodes vascular endothelial growth factor receptor 1 (VEGFR-1). The region containing the sentinel variant and its best proxies acted as a silencer for the FLT1 promoter, and alleles with protective effects in ARDS further reduced promoter activity (p=0·0047). A literature mining of all previously described ARDS genes validated the association of vascular endothelial growth factor A (VEGFA; OR 0·55, 95% CI 0·41-0·73; p=4·69 \times 10-5). INTERPRETATION A common variant within the FLT1 gene is associated with sepsis-associated ARDS. Our findings support a role for the vascular endothelial growth factor signalling pathway in ARDS pathogenesis and identify VEGFR-1 as a potential therapeutic target. FUNDING Instituto de Salud Carlos III, European Regional Development Funds, Instituto Tecnológico y de Energías Renovables.

Authors: Beatriz Guillen-Guio, Jose M. Lorenzo-Salazar, Shwu-Fan Ma, Pei-Chi Hou, Tamara Hernandez-Beeftink, Almudena Corrales, M. Isabel García-Laorden, Jonathan Jou, Elena Espinosa, Arturo Muriel, David Domínguez, Leonardo Lorente, María M. Martín, Carlos Rodríguez-Gallego, Jordi Solé-Violán, Alfonso Ambrós, Demetrio Carriedo, Jesús Blanco, José M. Añón, John P. Reilly, Tiffanie K. Jones, Caroline Ag Ittner, Rui Feng, Franziska Schöneweck, Michael Kiehntopf, Imre Noth, Markus Scholz, Frank M. Brunkhorst, André Scherag, Nuala J. Meyer, Jesús Villar, Carlos Flores

Date Published: 1st Mar 2020

Publication Type: Journal article

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