Winfried Neuhaus

Dr. Winfried Neuhaus

AIT - Austrian Institute of Technology, Center Health and Bioresources, Competence Unit Molecular Diagnostics, Giefinggasse 4, A-1210 Wien Austrian Institute of Technology, Vienna, Austria
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2017 in Stem Cell Reports
Verified
Journal Article
Open access
AAAntje Appelt-Menzel
Antje Appelt-Menzel
ACAlevtina Cubukova
Alevtina Cubukova
KGKatharina Günther
Katharina Günther
FEFrank Edenhofer
Frank Edenhofer
Joerg PiontekJoerg Piontek
Joerg Piontek
MMMarco Metzger
Marco Metzger
In vitro models of the human blood-brain barrier (BBB) are highly desirable for drug development. This study aims to analyze a set of ten different BBB culture models based on primary cells, human induced pluripotent stem cells (hiPSCs), and multipotent fetal neural stem cells (fNSCs). We systematically investigated the impact of astrocytes, pericytes, and NSCs on hiPSC-derived BBB endothelial cell function and gene expression. The quadruple culture models, based on these four cell types, achieved BBB characteristics including transendothelial electrical resistance (TEER) up to 2,500 Ω cm2 and distinct upregulation of typical BBB genes. A complex in vivo-like tight junction (TJ) network was detected by freeze-fracture and transmission electron microscopy. Treatment with claudin-specific TJ modulators caused TEER decrease, confirming the relevant role of claudin subtypes for paracellular tightness. Drug permeability tests with reference substances were performed and confirmed the suitability of the models for drug transport studies.

11 June 2021 in Micromachines
Verified
Journal Article
Open access
PDF file
JVJudit P. Vigh
Judit P. Vigh
András KincsesAndrás Kincses
András Kincses
BOBurak Ozgür
Burak Ozgür
Fruzsina WalterFruzsina Walter
Fruzsina Walter
Ana Raquel Santa-MariaAna Raquel Santa-Maria
Ana Raquel Santa-Maria
Maria DeliMaria Deli
Maria Deli
The blood–brain barrier (BBB) represents the tightest endothelial barrier within the cardiovascular system characterized by very low ionic permeability. Our aim was to describe the setups, electrodes, and instruments to measure electrical resistance across brain microvessels and culture models of the BBB, as well as critically assess the influence of often neglected physical and technical parameters such as temperature, viscosity, current density generated by different electrode types, surface size, circumference, and porosity of the culture insert membrane. We demonstrate that these physical and technical parameters greatly influence the measurement of transendothelial electrical resistance/resistivity (TEER) across BBB culture models resulting in severalfold differences in TEER values of the same biological model, especially in the low-TEER range. We show that elevated culture medium viscosity significantly increases, while higher membrane porosity decreases TEER values. TEER data measured by chopstick electrodes can be threefold higher than values measured by chamber electrodes due to different electrode size and geometry, resulting in current distribution inhomogeneity. An additional shunt resistance at the circumference of culture inserts results in lower TEER values. A detailed description of setups and technical parameters is crucial for the correct interpretation and comparison of TEER values of BBB models.

1 November 2014 in Archives of Medical Research
Verified
Journal Article
Closed access
STSerge C. Thal
Serge C. Thal
Winfried NeuhausWinfried Neuhaus
Winfried Neuhaus

10 September 2019 in Future Science OA
Verified
Journal Article
Open access
ARAnja Patricia Ramme
Anja Patricia Ramme
LKLeopold Koenig
Leopold Koenig
THTobias Hasenberg
Tobias Hasenberg
CSChristine Schwenk
Christine Schwenk
CMCorinna Magauer
Corinna Magauer
EDEva-Maria Dehne
Eva-Maria Dehne
Microphysiological systems play a pivotal role in progressing toward a global paradigm shift in drug development. Here, we designed a four-organ-chip interconnecting miniaturized human intestine, l... Lay abstract Models of four human organs – intestine, liver, brain, kidney – were cultivated in a micro-bioreactor, called microphysiological system. The organ models were placed in distinct compar... Graphical abstract

ABAndreas Brachner
Andreas Brachner
Despina FragouliDespina Fragouli
Despina Fragouli
Iola F. DuarteIola F. Duarte
Iola F. Duarte
Patricia M. A. FariasPatricia M. A. Farias
Patricia M. A. Farias
Sofia DembskiSofia Dembski
Sofia Dembski
Winfried NeuhausWinfried Neuhaus
Winfried Neuhaus
The exposure of humans to nano-and microplastic particles (NMPs) is an issue recognized as a potential health hazard by scientists, authorities, politics, non-governmental organizations and the general public. The concentration of NMPs in the environment is increasing concomitantly with global plastic production and the usage of plastic materials. NMPs are detectable in numerous aquatic organisms and also in human samples, therefore necessitating a risk assessment of NMPs for human health. So far, a comprehensive risk assessment of NMPs is hampered by limited availability of appropriate reference materials, analytical obstacles and a lack of definitions and standardized study designs. Most studies conducted so far used polystyrene (PS) spheres as a matter of availability, although this polymer type accounts for only about 7% of total plastic production. Differently sized particles, different concentration and incubation times, and various biological models have been used, yielding hardly comparable data sets. Crucial physico-chemical properties of NMPs such as surface (charge, polarity, chemical reactivity), supplemented additives and adsorbed chemicals have been widely excluded from studies, although in particular the surface of NMPs determines the interaction with cellular membranes. In this manuscript we give an overview about the critical parameters which should be considered when performing risk assessments of NMPs, including novel reference materials, taking into account surface modifications (e.g., reflecting weathering processes), and the possible role of NMPs as a substrate and/or carrier for (pathogenic) microbes. Moreover, we make suggestions for biological model systems to evaluate immediate toxicity, long-term effects and the potential of NMPs to cross biological barriers. We are convinced that standardized reference materials and experimental parameters along with technical innovations in (nano)-particle sampling and analytics are a prerequisite for the successful realization of conclusive human health risk assessments of NMPs.

1 January 2013 in International Journal of Computational Biology and Drug Design
Verified
Journal Article
Closed access
Sergey ShityakovSergey Shityakov
Sergey Shityakov
Winfried NeuhausWinfried Neuhaus
Winfried Neuhaus
Thomas DandekarThomas Dandekar
Thomas Dandekar
CFCarola Förster
Carola Förster
Molecular polar surface (PS) descriptors are very useful parameters in prediction of drug transport properties. They could be also used to investigate the blood-brain barrier (BBB) permeation rate for various chemical compounds. In this study, a dataset of drugs (n = 19) from various pharmacological groups was studied to estimate their potential properties to permeate across the BBB. Experimental logBB data were available as steady-state distribution values of the in vivo rat model for these molecules. Including accurate calculation of the electrostatic potential maps, polar surface descriptors, such as a two-dimensional polar surface area (2D-PSA), topological polar surface area (TPSA) and three-dimensional polar surface area or polar area (3D-PSA; PA) were measured and analysed. We report the strong correlation of these descriptors with logBB values for the prediction of BBB permeation using the linear partial least squares (PLS) fitting technique. The 3D-PSA descriptor showed the best fit to logBB values with R² = 0.92 and RMSD = 0.29 (p-value < 0.0001). The obtained results demonstrate that all descriptors bear high predictive powers and could provide an efficient strategy to envisage the pharmacokinetic properties of chemical compounds to permeate across the BBB at an early stage of the drug development process.