A5034994947- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Advanced Proteomics Techniques and Applications
- Genomics and Rare Diseases
- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Cancer Genomics and Diagnostics
- Software Engineering Research
- Open Source Software Innovations
- Protein Structure and Dynamics
- Infant Nutrition and Health
- Computational Drug Discovery Methods
- Genetic Associations and Epidemiology
- Enzyme Structure and Function
- Bioinformatics and Genomic Networks
- Neurological and metabolic disorders
- Venous Thromboembolism Diagnosis and Management
- Atherosclerosis and Cardiovascular Diseases
- Microbial Metabolic Engineering and Bioproduction
- Noise Effects and Management
- Systemic Lupus Erythematosus Research
- Cerebral Venous Sinus Thrombosis
- Neuroscience of respiration and sleep
German Center for Neurodegenerative Diseases
2024
University Hospital Bonn
2024
University of Cincinnati Medical Center
2009-2023
University of Vienna
2023
Aalborg University
2023
Cincinnati Children's Hospital Medical Center
2012-2022
Memorial Sloan Kettering Cancer Center
2022
FH Campus Wien
2022
Innsbruck Medical University
2018
Ningbo Dahongying University
2016
Necrotizing enterocolitis (NEC) is a devastating intestinal disease that afflicts 10% of extremely preterm infants. The contribution early colonization to NEC onset not understood, and predictive biomarkers guide prevention are lacking. We analyzed banked stool urine samples collected prior from infants <29 weeks gestational age, including 11 who developed 21 matched controls survived free NEC. Stool bacterial communities were profiled by 16S rRNA gene sequencing. Urinary metabolomic...
To test for associations between non-major histocompatibility complex susceptibility loci previously reported in autoimmune diseases and juvenile idiopathic arthritis (JIA).
Abstract We report our results in classifying protein matrix‐assisted laser desorption/ionization‐time of flight mass spectra obtained from serum samples into diseased and healthy groups. discuss detail five the steps preprocessing spectral data for biomarker discovery, as well criterion choosing a small set peaks samples. Cross‐validation studies with four selected proteins yielded misclassification rates 10–15% range all classification methods. Three these or fragments are down‐regulated...
The relative solvent accessibility (RSA) of an amino acid residue in a protein structure is real number that represents the exposed surface area this terms. problem predicting RSA from primary sequence can therefore be cast as regression problem. Nevertheless, prediction has so far typically been classification Consequently, various machine learning techniques have used within framework to predict whether given exceeds some (arbitrary) threshold and would thus predicted "exposed," opposed...
The only randomized data on heparin treatment in acute cerebral sinus venous thrombosis (CSVT) are derived from a small number of patients. rate intracranial hemorrhages as complication high-dose is still unknown. This retrospective study evaluates the clinical features, neuroimaging monitoring and outcome 42 patients with proven CSVT. Diagnosis was established by DSA, CT, MR tomography angiography. All received intravenously guided doubling aPTT value for 3 weeks, followed oral...
Next Generation Sequencing studies generate a large quantity of genetic data in relatively cost and time efficient manner provide an unprecedented opportunity to identify candidate causative variants that lead disease phenotypes. A challenge these is the generation sequencing artifacts by current technologies. To characterize properties distinguish false positive from true variants, we sequenced child both parents (one trio) using DNA isolated three sources (blood, buccal cells, saliva). The...
Maternal seeding of the microbiome in neonates promotes a long-lasting biological footprint, but how it impacts disease susceptibility early life remains unknown. We hypothesized that feeding butyrate to pregnant mice influences newborn's biliary atresia, severe cholangiopathy neonates. Here, we show administration mothers renders newborn resistant inflammation and injury bile ducts improves survival. The prevention hepatic immune cell activation survival trait is linked fecal signatures...
Common variations at the loci harboring fat mass and obesity gene (FTO), MC4R, TMEM18 are consistently reported as being associated with body index (BMI) especially in adult population. In order to confirm this effect pediatric population five European ancestry cohorts from eMERGE-II network (CCHMC-BCH) were evaluated.Data on 5049 samples of obtained Electronic Medical Records (EMRs) two large academic centers different genotyped cohorts. For all available samples, gender, age, height,...
Background and purpose CACNA1A encodes the α1 subunit of neuronal calcium channel P/Q. mutations underlie three allelic disorders: familial hemiplegic migraine type 1 (FHM1), episodic ataxia 2 (EA2) spinocerebellar 6 (SCA6). A clear‐cut genotype–phenotype correlation is often lacking since clinical manifestations may overlap. Several case reports have described cognitive behavioral features in disorders, but studies larger series are lacking. Methods Genetically confirmed cases were...
We describe the code PCx, a primal-dual interior-point for linear programming. Information is given about problem formulation and underlying algorithm, along with instructions installing, invoking, using code. Computational results on standard test problems are reported.
Excessive exposure to noise places nurses at risk for safety events, near-misses, decreased job performance, and fatigue. Noise is particularly a concern in pediatric intensive care units, where highly skilled providers vulnerable patients require quiet environment promote healing.To measure levels duration on specialty units explore sources of its effects the health registered nurses.In cross-sectional pilot study, 3 different were assessed. Fifteen observed 4-hour sessions during 24-hour...
Granulocyte colony stimulating factor receptor (G-CSFR) plays an important role in the production of neutrophil granulocytes. Mutated G-CSFRs have been directly associated with two distinct malignant phenotypes patients, e.g. acute myeloid leukemia (AML) and chronic neutrophilic (CNL). However, signaling mechanism mutated is not well understood. Here, we present a comprehensive SILAC-based quantitative phosphoserine phosphothreonine dataset normal using BaF3 cell-line-based vitro model...
The process by which outpatients are scheduled for a doctor's visit is crucial determinant of the overall efficiency patient flow. problem at hand consists determining prioritization (triage) rules so that adequate care guaranteed, resources (provider schedules) utilized efficiently and service guarantee can be ensured. We present simulation framework evaluation optimization scheduling rules. outline basic ingredients our model, illustrate kinds analyses it has enabled us to perform...
Developers are often faced with a natural language change request (such as bug report) and tasked identifying all code elements that must be modified in order to fulfill the (e.g., fix or implement new feature). In accomplish this task, developers frequently routinely perform impact analysis. This formal demonstration paper presents ImpactMiner, tool implements an integrated approach software The proposed estimates set using adaptive combination of static textual analysis, dynamic execution...
We used an unbiased proteomics approach to identify candidate urine biomarkers (CUBMs) predictive of LN chronicity and pursued their validation in a larger cohort. In this cross-sectional pilot study, we selected collected at kidney biopsy from 20 children with varying levels damage (discovery cohort) performed proteomic analysis using isobaric tags for relative absolute quantification (iTRAQ). identified differentially excreted proteins based on degree sought distinguish markers exhibiting...
Abstract Background Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined sets biological samples, such aims at identifying genes that are co-expressed in one, but not the other set samples. Results We developed a novel probabilistic framework jointly uncovering contexts (i.e. groups samples) with specific patterns, and different patterns across contexts. In contrast to current...
Background: Respiratory depression is a clinically and economically important but preventable complication of opioids. Genetic factors can help identify patients with high risk for respiratory depression. Methods: In this prospective genotype blinded clinical study, we evaluated the effect panel variants in candidate genes on opioid-related 347 children following tonsillectomy. Results: Using unsupervised hierarchical clustering combination genotypes variables, identified several distinct...
Biliary atresia is progressive fibro-inflammatory cholangiopathy of young children. Central to pathogenic mechanisms injury the tissue targeting by innate and adaptive immune cells. Among these cells, neutrophils IL-8/Cxcl-8 signaling via its Cxcr2 receptor have been linked bile duct injury. Here, we aimed investigate whether intestinal microbiome modulates Cxcr2-dependent obstruction. Adult wild-type (WT) Cxcr2-/- mice were fed a diet supplemented with sulfamethoxazole/trimethoprim...
To study the mechanism of centrosome duplication in cycling cells, we established a novel system multiple formation two types cells: CHO cells treated with RO3306, Cyclin-dependent kinase 1 (Cdk1) inhibitor and DT40 which Cdks were knocked out by chemical genetics. Cdk1-inactivated initiated DNA replication at onset S phase. They became arrested end G2, but cycle continued to produce supernumerary centrioles/centrosomes without endoreplication those cells. Centrosomes amplified highly...
Abstract Protein folding potentials are expected to have the lowest energy for native shape. The Linear Programming (LP) approach achieves exactly that goal a training set, or indicates this is impossible obtain. If solution cannot be found (i.e., problem infeasible) two possible routes possible: (a) choosing new functional form potential, (b) finding best potential with feasible subset of data, and (or) detecting inconsistent data in set. Here, we explore option (b). A simple heuristic an...