To review the evidence on the usefulness of the multifocal visual evoked potential (mfVEP) test in patients with optic neuritis (ON) and/or multiple sclerosis (MS).

We critically review key published evidence on the use of mfVEP in ON/MS patients and its association with other functional and structural tests.

Multifocal VEP tests are useful in detecting abnormality in patients with ON/MS and monitor the progression of lesions (remyelination, atrophy). In addition, mfVEP has good correlation with conventional visual evoked potential (VEP), standard automated perimetry, optical coherence tomography and magnetic resonance imaging. In patients with ON, mfVEP might be useful in predicting the risk of conversion to MS.

Multifocal VEP tests are useful in detecting abnormality in patients with ON/MS and monitor the progression of lesions (remyelination, atrophy). In addition, mfVEP has good correlation with conventional visual evoked potential (VEP), standard automated perimetry, optical coherence tomography and magnetic resonance imaging. In patients with ON, mfVEP might be useful in predicting the risk of conversion to MS.Typically, bioprocesses on an industrial scale are dynamic systems with a certain degree of variability, system inhomogeneities, and even population heterogeneities. Therefore, the scaling of such processes from laboratory to industrial scale and vice versa is not a trivial task. Traditional scale-down methodologies consider several technical parameters, so that systems on the laboratory scale tend to qualitatively reflect large-scale effects, but not the dynamic situation in an industrial bioreactor over the entire process, from the perspective of a cell. Supported by the enormous increase in computing power, the latest scientific focus is on the application of dynamic models, in combination with computational fluid dynamics to quantitatively describe cell behavior. These models allow the description of possible cellular lifelines which in turn can be used to derive a regime analysis for scale-down experiments. However, the approaches described so far, which were for a very few process examples, are very labor- and time-intensive and cannot be validated easily. In parallel, alternatives have been developed based on the description of the industrial process with hybrid process models, which describe a process mechanistically as far as possible in order to determine the essential process parameters with their respective variances. On-line analytical methods allow the characterization of population heterogeneity directly in the process. selleck This detailed information from the industrial process can be used in laboratory screening systems to select relevant conditions in which the cell and process related parameters reflect the situation in the industrial scale. In our opinion, these technologies, which are available in research for modeling biological systems, in combination with process analytical techniques are so far developed that they can be implemented in industrial routines for faster development of new processes and optimization of existing ones.Intelligence quotient (IQ), has been found to relate to the presence of internalising symptoms in autism spectrum disorder (ASD). This meta-analysis sought to clarify the direction of the relationship between IQ and two prevalent internalising symptoms, anxiety and depression, in adolescents with ASD. Secondly, this study aimed to highlight methodological factors contributing to inconsistent findings in existing research. Self-reported anxiety was found to be significantly higher in youth with a lower IQ, while depression was positively associated with IQ. Consequently, parents, schools and clinicians should be cautious of underestimating anxiety in youth with a lower IQ. However, care should also be taken to ensure adolescents with ASD without intellectual disabilities are not overlooked with regards to social and emotional support.Human induced pluripotent stem cells (hiPSCs) have the potential to be used in a variety of biomedical applications, including drug discovery and Regenerative Medicine. The success of these approaches is, however, limited by the difficulty of generating the large quantities of cells required in a reproducible and controlled system. Bioreactors, widely used for industrial manufacture of biological products, constitute a viable strategy for large-scale production of stem cell derivatives. In this chapter, we describe the expansion of hiPSCs using the Vertical-Wheel™ bioreactor, a novel bioreactor configuration specifically designed for the culture of shear-sensitive cells. We provide protocols for the expansion of hiPSCs in suspension, both as floating aggregates and using microcarriers for cell adhesion. These methods may be important for the establishment of a scalable culture of hiPSCs, allowing the manufacturing of industrial- or clinical-scale cell numbers.Cardiac explant-derived cells (cEDC), also referred as cardiac progenitors cells (CPC) (Barile et al., Cardiovasc Res 103(4)530-541, 2014; Barile et al., Cardiovasc Res 114(7)992-1005, 2018), represent promising candidates for the development of cell-based therapies, a novel and interesting treatment for cardioprotective strategy in heart failure (Kreke et al., Expert Rev Cardiovasc Ther 10(9)1185-1194, 2012). CPC have been tested in a preclinical setting for direct cell transplantation and tissue engineering or as a source for production of extracellular vesicles (EV) (Oh et al., J Cardiol 68(5)361-367, 2016; Barile et al., Eur Heart J 38(18)1372-1379, 2017; Rosen et al., J Am Coll Cardiol 64(9)922-937, 2014). CPC cultured as cardiospheres derived cells went through favorable Phase 1 and 2 studies demonstrating safety and possible efficacy (Makkar et al., Lancet 379(9819)895-904, 2012; Ishigami et al., Circ Res 120(7)1162-1173, 2017; Ishigami et al., Circ Res 116 (4)653-664, 2015; Tarui et al., J Thorac Cardods have been implemented to assess the safety (sterility, endotoxin, mycoplasma, cell senescence, tumorigenicity) and identity/potency/purity (cell count and viability, RT-PCR, immunophenotype) of the cells (Andriolo et al., Front Physiol 91169, 2018).