Estimating capital investment and facility footprint in cell therapy facilities

Estimations of the facility footprint and fixed capital investment (FCI) of cell therapy (CT) facilities need to consider the unique features of the single-use technologies (SUTs) selected for CT manufacture (e.g. cleanroom containment requirement, capacity, automation) and the product nature that impacts scale-out versus scale-up approaches. A novel detailed factorial methodology is proposed for estimating FCI and footprint for bespoke stick-built cell therapy facilities that accounts for technology-specific factors for key cell culture technologies as well as the implications of SUTs, open versus closed operations and the commercialisation scenario selected. This was used to derive benchmark values for short-cut cost and area factors for typical cell therapy facilities according to the technologies selected. The results provide project-specific ratios for equipment purchase costs to facility footprint (area factor) and for FCI to total equipment purchase costs (cost factor or “Lang” factor). Area factors ($/m2) were 675-6,815 and the cost factors were 2.3–8.5 for a greenfield project in a medium-developed country. The case study shows that for the same output, facility footprints and FCI values are on average 6 times higher for autologous processes than allogeneic processes. This is attributed to economies of scale achieved with scale-up for allogeneic cell therapy manufacture. This study can be used to predict the commercial FCI and facility footprint during early stages of process development

Modeling the Adaptive Role of Negative Signaling in Honey Bee Intraspecific Competition

Collective decision making in the social insects often proceeds via feedback cycles based on positive signaling. Negative signals have, however, been found in a few contexts in which costs exist for paying attention to no longer useful information. Here we incorporate new research on the specificity and context of the negative stop signal into an agent based model of honey bee foraging to explore the adaptive basis of negative signaling in the dance language. Our work suggests that the stop signal, by acting as a counterbalance to the waggle dance, allows colonies to rapidly shut down attacks on other colonies. This could be a key adaptation, as the costs of attacking a colony strong enough to defend itself are significant

Zika virus impairs the development of blood vessels in a mouse model of congenital infection

Zika virus (ZIKV) is associated with brain development abnormalities such as primary microcephaly, a severe reduction in brain growth. Here we demonstrated in vivo the impact of congenital ZIKV infection in blood vessel development, a crucial step in organogenesis. ZIKV was injected intravenously in the pregnant type 2 interferon (IFN)-deficient mouse at embryonic day (E) 12.5. The embryos were collected at E15.5 and postnatal day (P)2. Immunohistochemistry for cortical progenitors and neuronal markers at E15.5 showed the reduction of both populations as a result of ZIKV infection. Using confocal 3D imaging, we found that ZIKV infected brain sections displayed a reduction in the vasculature density and vessel branching compared to mocks at E15.5; altogether, cortical vessels presented a comparatively immature pattern in the infected tissue. These impaired vascular patterns were also apparent in the placenta and retina. Moreover, proteomic analysis has shown that angiogenesis proteins are deregulated in the infected brains compared to controls. At P2, the cortical size and brain weight were reduced in comparison to mock-infected animals. In sum, our results indicate that ZIKV impairs angiogenesis in addition to neurogenesis during development. The vasculature defects represent a limitation for general brain growth but also could regulate neurogenesis directly

Discovery of a New Song Mode in Drosophila Reveals Hidden Structure in the Sensory and Neural Drivers of Behavior

Deciphering how brains generate behavior depends critically on an accurate description of behavior. If distinct behaviors are lumped together, separate modes of brain activity can be wrongly attributed to the same behavior. Alternatively, if a single behavior is split into two, the same neural activity can appear to produce different behaviors. Here, we address this issue in the context of acoustic communication in Drosophila. During courtship, males vibrate their wings to generate time-varying songs, and females evaluate songs to inform mating decisions. For 50 years, Drosophila melanogaster song was thought to consist of only two modes, sine and pulse, but using unsupervised classification methods on large datasets of song recordings, we now establish the existence of at least three song modes: two distinct pulse types, along with a single sine mode. We show how this seemingly subtle distinction affects our interpretation of the mechanisms underlying song production and perception. Specifically, we show that visual feedback influences the probability of producing each song mode and that male song mode choice affects female responses and contributes to modulating his song amplitude with distance. At the neural level, we demonstrate how the activity of four separate neuron types within the fly’s song pathway differentially affects the probability of producing each song mode. Our results highlight the importance of carefully segmenting behavior to map the underlying sensory, neural, and genetic mechanisms

Solvent-free temperature-facilitated direct extrusion 3D printing for pharmaceuticals

In an era moving towards digital health, 3D printing has successfully proven its applicability in providing personalised medicine through a technology-based approach. Among the different 3D printing techniques, direct extrusion 3D printing has been demonstrated as a promising approach for on demand manufacturing of solid dosage forms. However, it usually requires the use of elevated temperatures and/or the incorporation of an evaporable solvent (usually water). This can implicate the addition of a drying step, which may compromise the integrity of moisture- or temperature-sensitive drugs, and open the door for additional quality control challenges. Here, we demonstrate a new approach that simplifies direct extrusion 3D printing process with the elimination of the post-printing drying step, by merely adding a fatty glyceride, glyceryl monostearate (GMS), to a model drug (theophylline) and permeable water insoluble methacrylate polymers (Eudragit RL and RS). Indeed, rheological studies indicated that the addition of a combination of a plasticiser, (triethyl citrate), and GMS to theophylline: methacrylate polymer blends significantly reduced the extensional viscosity (to <2.5 kPa·Sec) at 90 °C. Interestingly, GMS demonstrated a dual temperature-dependant behaviour by acting both as a plasticiser and a lubricant at printing temperature (90–110 °C), while aiding solidification at room temperature. X-ray powder diffraction indicated incomplete miscibility of GMS within the polymeric matrix at room temperature with the presence of a subtle diffraction peak, at 2(Θ) = 20°. The 3D printed tablets showed acceptable compendial weight and content uniformity as well as sufficient mechanical resistance. In vitro theophylline release from 3D printed tablets was dependant on Eudragit RL:RS ratio. All in all, this work contributes to the efforts of developing a simplified, facile and low-cost 3D printing for small batch manufacturing of bespoke tablets that circumvents the use of high temperature and post-manufacturing drying step

Nuclear Factor (NF) κB polymorphism is associated with heart function in patients with heart failure

<p>Abstract</p> <p>Background</p> <p>Cardiac remodeling is generally an adverse sign and is associated with heart failure (HF) progression. NFkB, an important transcription factor involved in many cell survival pathways, has been implicated in the remodeling process, but its role in the heart is still controversial. Recently, a promoter polymorphism associated with a lesser activation of the <it>NFKB1 </it>gene was also associated with Dilated Cardiomyopathy. The purpose of this study was to evaluate the association of this polymorphism with clinical and functional characteristics of heart failure patients of different etiologies.</p> <p>Methods</p> <p>A total of 493 patients with HF and 916 individuals from a cohort of individuals from the general population were investigated. The <it>NFKB1 </it>-94 insertion/deletion ATTG polymorphism was genotyped by High Resolution Melt discrimination. Allele and genotype frequencies were compared between groups. In addition, frequencies or mean values of different phenotypes associated with cardiovascular disease were compared between genotype groups. Finally, patients were prospectively followed-up for death incidence and genotypes for the polymorphism were compared regarding disease onset and mortality incidence in HF patients.</p> <p>Results</p> <p>We did not find differences in genotype and allelic frequencies between cases and controls. Interestingly, we found an association between the ATTG₁/ATTG₁genotype with right ventricle diameter (<it>P </it>= 0.001), left ventricle diastolic diameter (P = 0.04), and ejection fraction (EF) (P = 0.016), being the genotype ATTG₁/ATTG₁more frequent in patients with EF lower than 50% (<it>P </it>= 0.01). Finally, we observed a significantly earlier disease onset in ATTG1/ATTG₁carriers.</p> <p>Conclusion</p> <p>There is no genotype or allelic association between the studied polymorphism and the occurrence of HF in the tested population. However, our data suggest that a diminished activation of <it>NFKB1</it>, previously associated with the ATTG₁/ATTG₁genotype, may act modulating on the onset of disease and, once the individual has HF, the genotype may modulate disease severity by increasing cardiac remodeling and function deterioration.</p

Reviewing, indicating, and counting books for modern research evaluation systems

In this chapter, we focus on the specialists who have helped to improve the conditions for book assessments in research evaluation exercises, with empirically based data and insights supporting their greater integration. Our review highlights the research carried out by four types of expert communities, referred to as the monitors, the subject classifiers, the indexers and the indicator constructionists. Many challenges lie ahead for scholars affiliated with these communities, particularly the latter three. By acknowledging their unique, yet interrelated roles, we show where the greatest potential is for both quantitative and qualitative indicator advancements in book-inclusive evaluation systems.Comment: Forthcoming in Glanzel, W., Moed, H.F., Schmoch U., Thelwall, M. (2018). Springer Handbook of Science and Technology Indicators. Springer Some corrections made in subsection 'Publisher prestige or quality