A5002051376- Metabolomics and Mass Spectrometry Studies
- Advanced Chemical Sensor Technologies
- Analytical Chemistry and Chromatography
- Inflammatory Myopathies and Dermatomyositis
- Agricultural safety and regulations
- Cardiovascular and exercise physiology
- Muscle Physiology and Disorders
- Identification and Quantification in Food
- Heterotopic Ossification and Related Conditions
- Advanced Proteomics Techniques and Applications
- Health, Environment, Cognitive Aging
- Agriculture, Soil, Plant Science
- Analytical chemistry methods development
- Effects and risks of endocrine disrupting chemicals
- Mass Spectrometry Techniques and Applications
- Muscle metabolism and nutrition
- Physical Activity and Health
- Medical Imaging and Pathology Studies
- Pesticide Residue Analysis and Safety
- Viral Infectious Diseases and Gene Expression in Insects
- Biopolymer Synthesis and Applications
- Data Stream Mining Techniques
- Medical Research and Treatments
- Pharmacogenetics and Drug Metabolism
Charité - Universitätsmedizin Berlin
2014-2023
Federal Institute for Risk Assessment
2011-2023
Max Delbrück Center
2014-2023
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
2019-2023
MSB Medical School Berlin
2014-2015
EFSA's aim by 2030, is that the Agency and its partners will be equipped for routine implementation of human health risk assessment to multiple chemicals, across domains activity. To facilitate this effort, a roadmap action has been developed mapping methods, data tools are currently available mixture identifying current scientific gaps including challenges blockers. The results shows extensive dietary pesticides, but several still exist non-dietary exposure pesticides. For food additives...
Reliable analyte identification is critical in metabolomics experiments to ensure proper interpretation of data. Due chemical similarity metabolites (as isobars and isomers) by mass spectrometry or chromatography alone can be difficult. Here we show that isomeric compounds are quite common the metabolic space as given metabolite databases. Further, retention information shift dramatically between different decreasing value external even in-house compound As a consequence databases should...
Lack of reliable peak detection impedes automated analysis large-scale gas chromatography-mass spectrometry (GC-MS) metabolomics datasets. Performance and outcome individual peak-picking algorithms can differ widely depending on both algorithmic approach parameters, as well data acquisition method. Therefore, comparing contrasting between is difficult. Here we present a workflow for improved picking (WiPP), parameter optimising, multi-algorithm GC-MS metabolomics. WiPP evaluates the quality...
Using manual derivatization in gas chromatography-mass spectrometry samples have varying equilibration times before analysis which increases technical variability and limits the number of potential analyzed. By contrast, automated methods can derivatize inject each sample an identical manner. We present a fully (on-line) method used for targeted different matrices. describe optimization compare results from using off-line on-line protocols, including robustness reproducibility methods. Our...
Plant protection products (PPPs) consist of one or more active substances and several co-formulants. Active provide the functionality PPP are consequently evaluated according to standard test methods set by legal data requirements before approval, whereas co-formulants' toxicity is not as comprehensively assessed. However, in some cases mixture effects co-formulants might result increased different forms toxicity. In a proof-of-concept study we hence built on previously published results...
Abstract Lack of reliable peak detection impedes automated analysis large scale GC-MS metabolomics datasets. Performance and outcome individual peak-picking algorithms can differ widely depending on both algorithmic approach parameters as well data acquisition method. Comparing contrasting between is thus difficult. Here we present a workflow for improved picking (WiPP), parameter optimising, multi-algorithm metabolomics. WiPP evaluates the quality detected peaks using machine learning-based...
Background: Assessing detailed metabolism in exercising persons minute-to-minute has not been possible. We developed a “drop-of-blood” platform to fulfill that need. Our study aimed only demonstrate the utility of our methodology, but also give insights into unknown mechanisms and new directions. Methods: platform, based on gas chromatography mass spectrometry, assess from blood-drop. first observed single volunteer who ran 13 km 61 min. particularly monitored relative perceived exertion...
OBJECTIVE: To compare the muscle proteome in inclusion body myositis (sIBM) and healthy controls to characterize changes over time longitudinal studies. BACKGROUND: sIBM is most common acquired disease of elderly. Symptoms are progressive weakness atrophy often accompanied by dysphagia. Loss ambulation artificial nutrition frequent. The cause unknown. pathogenesis complex includes inflammatory-immunological degenerative aspects. There no treatment. DESIGN/METHODS: For accurate...