Inspiring a Self-Reliant Learning Culture while Brewing the Next Silicon Valley in North Wales

Practical strategies for improving individual engagement and performance within an engineering team project learning environment were applied and evaluated. While methodological refinements were required due to the structural challenges and novelty of the practice, positive outcomes such as a perceived increase in engagement and technical proficiency were recorded. Critical aspects in the current approach are the well-known issue of assessing individual contributions within group performance, and setting a proper regulatory environment to prevent peer-assessment bias or dysfunctions. A novel intra-group mark moderation approach is presented and discussed

Sulfur Metabolism and Sulfur-Containing Amino Acids: I- Molecular Effectors

The biology of the macro-element sulfur (S) is attracting an ever growing attention concerning cell physiology and human health. Sulfur metabolism works at the interplay between genetics and epigenetic as well as in the maintain of cell redox homeostasis. Indeed, unbalanced levels of S compounds in the body are actually under investigation as vulnerability factors and/or indicators of impaired cell oxidation state in a variety of human diseases. The purpose of this article is to overview some main S metabolic pathways in humans and their relevance in cell physiology and pathology. Since S is an essential nutrient for life, we first present its distribution and significance in the biosphere, focusing then on S metabolic fluxes which encompass S-containing amino acids (S-AAs), as well as sulfoconjugation, the synthesis and release of H2S together the formation of iron-sulfur cluster proteins. Despite the vastness of the topic, we would like to emphasize herein that the study of S networks in human pathology, especially in complex, multi-factorial disorders, deserves greater impulsion and deepening

Sulfur Metabolism and Sulfur-Containing Amino Acids Derivatives – II: Autism Spectrum Disorders, Schizophrenia and Fibromyalgia

The metabolism of sulfur (S) compounds concurs to the maintain of cell homeostasis and tissue integrity in the human body. Sulfur chemical species act in all cells as anti-oxidant/scavenging agents or regulators of membrane stability/excitability. At the same time, they also exert tissue-dependent functions behaving as protective molecules of the liver and cardiovascular system, as modulators of the immune response, gut activity and CNS neurotransmitter signaling. The involvement of S compounds in human complex, chronic, disabling diseases at multifaceted pathogenesis is actually under investigation: altered levels of S metabolites could be in fact bio-indicators of impaired oxidation state in the body and their unbalance could be risk factors for disease onset. By the present review, we will discuss data from the literature which unearth an altered S biochemistry in human complex illnesses, taking as an example highly invalidating neuropsychiatry and pain perception diseases as autism spectrum disorders (ASD), schizophrenia and fibromyalgia. As well, we will depict herein the utility at applying to this area of the clinical research high resolving -omics strategies in combination with methodological tools which specifically explore S metabolism in patients. The perspectives of these kind of analyses would be the adoption of more valuable, personalized therapeutics protocols and, possibly, an improved bio-monitoring of patients, also including their response to treatments

Parkinson’s Disease and Alpha-Synucleinopathies: from Arising Pathways to Therapeutic Challenge

Parkinson’s Disease (PD) and alpha synucleinopathies are multifactorial disorders, which manifest through motor symptoms and non-motor symptoms involving the Central Nervous System (CNS), the Peripheral Nervous System (PNS) and, recently, also the Enteric Nervous System (ENS). The typical hallmarks of alpha synucleinopathies are proteinaceous inclusions of alpha synuclein (αS). In PD they are known as Lewy Bodies (LBs) and Lewy Neurites (LNs), discovered in dopaminergic neurons of substantia nigra (pars compacta) as well as in other regions of the central and peripheral nervous systems. Despite the clear causes which lead to LBs/LNs are still unknown, according to Braak’s theory, these inclusions appear first in PNS to spread, following neuronal innervation, towards the CNS in a spatio- temporal dissemination described in a staging procedure. In line with these observations, several animal models have been used with the purpose to reproduce PD as well as to propose new therapeutic approaches. Different pathways can cooperate to neurodegeneration in PD such as genetic mutations of αS gene, mitochondrial dysfunctions, neuroinflammation. The present review highlights αS as the key-word for PD pathology and alpha synucleinopathies and a main target in PD research. Several therapeutic approaches can be proposed, however all of them are addressed in advanced stages of the pathology. Our focus will be the alteration of αS physiological pathway, which allows to address therapy in early stages at intracellular or extracellular level, such as the use of anti ER-stress compounds and innovative immunotherapy, which could be promising tools to reduce neuronal degeneration and to halt PD progression

Tryptophan Biochemistry: Structural, Nutritional, Metabolic, and Medical Aspects in Humans

L-Tryptophan is the unique protein amino acid (AA) bearing an indole ring: its biotransformation in living organisms contributes either to keeping this chemical group in cells and tissues or to breaking it, by generating in both cases a variety of bioactivemolecules. Investigations on the biology of Trp highlight the pleiotropic effects of its small derivatives on homeostasis processes. In addition to protein turn-over, in humans the pathways of Trp indole derivatives cover the synthesis of the neurotransmitter/hormone serotonin (5-HT), the pineal gland melatonin (MLT), and the trace amine tryptamine. The breakdown of the Trp indole ring defines instead the “kynurenine shunt” which produces cell-response adapters as L-kynurenine, kynurenic and quinolinic acids, or the coenzyme nicotinamide adenine dinucleotide (NAD+). This reviewaims therefore at tracing a “map” of themainmolecular effectors in human tryptophan (Trp) research, starting from the chemistry of this AA, dealing then with its biosphere distribution and nutritional value for humans, also focusing on some proteins responsible for its tissue-dependent uptake and biotransformation.We will thus underscore the role of Trp biochemistry in the pathogenesis of human complex diseases/syndromes primarily involving the gut, neuroimmunoendocrine/stress responses, and the CNS, supporting the use of -Omics approaches in this field

Super-Resolution Imaging by Dielectric Superlenses: TiO2 Metamaterial Superlens versus BaTiO3 Superlens

All-dielectric superlens made from micro and nano particles has emerged as a simple yet effective solution to label-free, super-resolution imaging. High-index BaTiO3 Glass (BTG) microspheres are among the most widely used dielectric superlenses today but could potentially be replaced by a new class of TiO2 metamaterial (meta-TiO2) superlens made of TiO2 nanoparticles. In this work, we designed and fabricated TiO2 metamaterial superlens in full-sphere shape for the first time, which resembles BTG microsphere in terms of the physical shape, size, and effective refractive index. Super-resolution imaging performances were compared using the same sample, lighting, and imaging settings. The results show that TiO2 meta-superlens performs consistently better over BTG superlens in terms of imaging contrast, clarity, field of view, and resolution, which was further supported by theoretical simulation. This opens new possibilities in developing more powerful, robust, and reliable super-resolution lens and imaging systems

Recent Approaches to Design and Analysis of Electrical Impedance Systems for Single Cells using Machine Learning

Individual cells have many unique properties that can be quantified to develop a holistic understanding of a population. This can include understanding population characteristics, identifying subpopulations, or elucidating outlier characteristics that may be indicators of disease. Electrical impedance measurements are rapid and label-free for the monitoring of single cells and generate large datasets of many cells at single or multiple frequencies. To increase the accuracy and sensitivity of measurements and define the relationships between impedance and biological features, many electrical measurement systems have incorporated machine learning (ML) paradigms for control and analysis. Considering the difficulty capturing complex relationships using traditional modelling and statistical methods due to population heterogeneity, ML offers an exciting approach to the systemic collection and analysis of electrical properties in a data-driven way. In this work, we discuss incorporation of ML to improve the field of electrical single cell analysis by addressing the design challenges to manipulate single cells and sophisticated analysis of electrical properties that distinguish cellular changes. Looking forward, we emphasize the opportunity to build on integrated systems to address common challenges in data quality and generalizability to save time and resources at every step in electrical measurement of single cells