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1.
Food Chem ; 368: 130665, 2022 Jan 30.
Article in English | MEDLINE | ID: mdl-34438180

ABSTRACT

Training systems are an option to handle the pronounced apical dominance of grapevines and to influence diverse traits of the corresponding wine. However, it is still unclear if different training systems generate signatures in the metabolome of the wine. By an untargeted metabolomics approach using (SPME) GC-MS wine (volatiles) and leaves were evaluated. Different training directions such as vertical shoot positioning systems, hanging shoot systems, and minimal pruning systems were distinguishable in wine. It was shown, that different training systems generate a metabolomic signature in the wine which was more pronounced than in leaves. Moreover, the sensory analysis showed some changes in the aroma of the different training systems. Thus, the influence of the training system ranges from the leaf metabolome to the wine metabolome.


Subject(s)
Vitis , Volatile Organic Compounds , Wine , Fruit/chemistry , Gas Chromatography-Mass Spectrometry , Metabolomics , Odorants/analysis , Volatile Organic Compounds/analysis , Wine/analysis
2.
Transl Psychiatry ; 7(8): e1218, 2017 08 22.
Article in English | MEDLINE | ID: mdl-28892073

ABSTRACT

Children with neurodevelopmental disorders benefit most from early interventions and treatments. The development and validation of brain-based biomarkers to aid in objective diagnosis can facilitate this important clinical aim. The objective of this review is to provide an overview of current progress in the use of neuroimaging to identify brain-based biomarkers for autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), two prevalent neurodevelopmental disorders. We summarize empirical work that has laid the foundation for using neuroimaging to objectively quantify brain structure and function in ways that are beginning to be used in biomarker development, noting limitations of the data currently available. The most successful machine learning methods that have been developed and applied to date are discussed. Overall, there is increasing evidence that specific features (for example, functional connectivity, gray matter volume) of brain regions comprising the salience and default mode networks can be used to discriminate ASD from typical development. Brain regions contributing to successful discrimination of ADHD from typical development appear to be more widespread, however there is initial evidence that features derived from frontal and cerebellar regions are most informative for classification. The identification of brain-based biomarkers for ASD and ADHD could potentially assist in objective diagnosis, monitoring of treatment response and prediction of outcomes for children with these neurodevelopmental disorders. At present, however, the field has yet to identify reliable and reproducible biomarkers for these disorders, and must address issues related to clinical heterogeneity, methodological standardization and cross-site validation before further progress can be achieved.


Subject(s)
Attention Deficit Disorder with Hyperactivity/metabolism , Autism Spectrum Disorder/metabolism , Autistic Disorder/metabolism , Biomarkers/metabolism , Brain/diagnostic imaging , Neuroimaging/methods , Adolescent , Adult , Aged , Attention Deficit Disorder with Hyperactivity/diagnosis , Attention Deficit Disorder with Hyperactivity/physiopathology , Autism Spectrum Disorder/diagnosis , Autism Spectrum Disorder/physiopathology , Autistic Disorder/diagnosis , Autistic Disorder/physiopathology , Brain/metabolism , Brain Mapping , Child, Preschool , Female , Humans , Infant , Magnetic Resonance Imaging/methods , Male , Middle Aged , Neurodevelopmental Disorders/diagnosis , Neurodevelopmental Disorders/metabolism , Neurodevelopmental Disorders/physiopathology , Young Adult
3.
Toxicology ; 385: 28-37, 2017 06 15.
Article in English | MEDLINE | ID: mdl-28454766

ABSTRACT

Consumers are exposed to low concentrations of a variety of pesticide residues in or on food. Some of them might interfere with the endocrine system. While each individual active substance has been extensively tested for toxicity and safety, potential combination effects possibly resulting from combined exposure to different pesticides have seldomly been tested so far, especially in vivo. Since the adrenal gland is a key endocrine organ, we investigated if and how substances of a group of fungicides presumed to interfere with the biosynthesis of steroid hormones affect this organ when applied individually and in combination in a broad dose range. A 28-day feeding study was conducted in Wistar rats by using three (tri)azole fungicides considered to potentially affect the endocrine system (cyproconazole, epoxiconazole and prochloraz) individually at five dose levels, ranging from 0.9ppm to 2400ppm, and in combination at three dose levels. The parameters analysed included classical toxicology (pathology, histopathology, clinical chemistry) and molecular toxicology endpoints (gene expression arrays and quantitative real time PCR e.g. of Star, HSD3ß, Cyp11a1, Cyp11b1, Cyp11b2, Cyp 21, ApoE), as well as hormone analysis. A dose-dependent decrease in the adrenal gland weight of rats treated with epoxiconazole alone, which was accompanied by an atrophy of the adrenal gland as well as by an increase in the serum cholesterol level and which only became statistically significant at the top dose levels, was observed. These effects were attenuated in the combination experiments, although the same epoxiconazole concentration was used.


Subject(s)
Adrenal Glands/drug effects , Azoles/toxicity , Fungicides, Industrial/toxicity , 3-Hydroxysteroid Dehydrogenases/genetics , Adrenal Glands/metabolism , Adrenal Glands/pathology , Aldosterone/blood , Animals , Apolipoproteins E/genetics , Cholesterol/blood , Corticosterone/blood , Cytochrome P-450 Enzyme System/genetics , Drug Interactions , Gene Expression/drug effects , Male , No-Observed-Adverse-Effect Level , Organ Size/drug effects , Phosphoproteins/genetics , Progesterone/blood , Rats, Wistar
4.
Chem Commun (Camb) ; 52(63): 9801-4, 2016 Aug 14.
Article in English | MEDLINE | ID: mdl-27419250

ABSTRACT

A novel vacuum stable proton sponge, 4-maleicanhydridoproton sponge (MAPS), was prepared and applied as the matrix in Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging (MALDI-MSI) of an aggressive brain tumor tissue (glioblastoma multiforme). Ionic maps of lactate, 2-hydroxyglutarate and chloride anions (m/z 89, 147, 35, respectively) were obtained using a routine MALDI ToF mass spectrometer.


Subject(s)
Brain Neoplasms/diagnostic imaging , Brain/diagnostic imaging , Chlorides/analysis , Glioblastoma/diagnostic imaging , Glutarates/analysis , Lactic Acid/analysis , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods , Humans , Maleic Anhydrides/chemistry , Protons
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