A geometric synthesis method to realize a switching function

Frequently in threshold logic it is necessary to realize a switching function f of n variables in a two or more stages realization, both because it is not possible to realize f in a single gate and for reliability considerations. This means that the given function must be decomposed into a certain number of threshold functions, each of them having a number of variables less than n. When a geometric representation of switching functions is considered, the problem is equivalent to that of looking for functions whose patterns (on-sets) cover, in an adequate way, the on-set of the function f to be realized. In this paper a heuristic covering approach has been introduced which provides a manageable method for searching for a two stage realization of f. Furthermore a class of switching functions whose patterns possess a particular geometric shape (shell structure) has been considered. It has been proved that such functions (shell functions) are linearly separable and that one of their separating systems strictly depends on the centre and on the diameter of the shell structure. Gates implementing shell functions have been considered and their use has been revealed more convenient than that of majority gates in the solution of the problem of network synthesis. To clarify this advantage an example has been discussed in detail.     

Computational studies of shape memory alloy behavior in biomedical applications

BACKGROUND: Nowadays, shape memory alloys (SMAs) and in particular Ni-Ti alloys are commonly used in bioengineering applications as they join important qualities as resistance to corrosion, biocompatibility, fatigue resistance, MR compatibility, kink resistance with two unique thermo-mechanical behaviors: the shape memory effect and the pseudoelastic effect. They allow Ni-Ti devices to undergo large mechanically induced deformations and then to recover the original shape by thermal loading or simply by mechanical unloading. METHOD OF APPROACH: A numerical model is developed to catch the most significant SMA macroscopic thermo-mechanical properties and is implemented into a commercial finite element code to simulate the behavior of biomedical devices. RESULTS: The comparison between experimental and numerical response of an intravascular coronary stent allows to verify the model suitability to describe pseudo-elasticity. The numerical study of a spinal vertebrae spacer where the effects of different geometries and material characteristic temperatures are investigated, allows to verify the model suitability to describe shape memory effect. CONCLUSION: the results presented show the importance of computational studies in designing and optimizing new biomedical devices.     

A multicomponent approach in the discovery of indoleamine 2,3-dioxygenase 1 inhibitors: Synthesis,biological investigation and docking studies

Indoleamine 2,3-dioxygenase plays a crucial role in immune tolerance and has emerged as an attractive target for cancer immunotherapy. In this study, the Passerini and Ugi multicomponent reactions have been employed to assemble a small library of imidazothiazoles that target IDO1. While the p-bromophenyl and the imidazothiazole moieties have been kept fixed, a full SAR study has been performed on the side-chain, leading to the discovery of nine compounds with sub-micromolar IC₅₀ values in the enzyme-based assay. Compound 7d, displaying a α-acyloxyamide substructure, is the most potent compound, with an IC₅₀ value of 0.20?µM, but a low activity in a cell-based assay. Compound 6o, containing a α-acylaminoamide moiety, shows an IC₅₀ value of 0.81?µM in the IDO1-based assay, a full biocompatibility at 10?µM, together with a modest inhibitory activity in A375 cells. Molecular docking studies show that both 7d and 6o display a unique binding mode in the IDO1 active site, with the side-chain protruding in an additional pocket C, where a crucial hydrogen bond is formed with Lys238. Overall, this work describes an isocyanide based-multicomponent approach as a straightforward and versatile tool to rapidly access IDO1 inhibitors, providing a new direction for their future design and development.     

The potential role of 'non-rheumatic’ therapies in rheumatic disease

The relationship between inflammation and insulin resistance is complex and not fully understood. Patients with rheumatoid arthritis are at increased risk of mortality from cardiovascular disease, which is known to be associated with insulin resistance. In the previous issue of Arthritis Research & Therapy, Ormseth and colleagues report the results of an 8-week trial of pioglitazone, an agent commonly used to treat type 2 diabetes mellitus, upon the DAS-28 (disease activity score using 28 joint counts). Modest improvements in the DAS-28 CRP (DAS-28 C-reactive protein) were shown, with no effect on DAS-28 ESR (DAS-28 erythrocyte sedimentation rate). Other variables that improved with pioglitazone were the CRP, IL-6, and patient-reported assessment of global health. The authors discuss the contribution of insulin resistance to the inflammation noted in rheumatoid arthritis.     

A novel numerical modelling approach for keratoplasty eye procedure

Biomechanics and Modeling in Mechanobiology - Objective of the work is to investigate stress and deformation that conrneal tissue and donor graft undergo during endothelial keratoplasty. In order...     

Recognition of morphometric vertebral fractures by artificial neural networks: analysis from GISMO Lombardia Database

Background

It is known that bone mineral density (BMD) predicts the fracture''s risk only partially and the severity and number of vertebral fractures are predictive of subsequent osteoporotic fractures (OF). Spinal deformity index (SDI) integrates the severity and number of morphometric vertebral fractures. Nowadays, there is interest in developing algorithms that use traditional statistics for predicting OF. Some studies suggest their poor sensitivity. Artificial Neural Networks (ANNs) could represent an alternative. So far, no study investigated ANNs ability in predicting OF and SDI. The aim of the present study is to compare ANNs and Logistic Regression (LR) in recognising, on the basis of osteoporotic risk-factors and other clinical information, patients with SDI≥1 and SDI≥5 from those with SDI = 0.

Methodology

We compared ANNs prognostic performance with that of LR in identifying SDI≥1/SDI≥5 in 372 women with postmenopausal-osteoporosis (SDI≥1, n = 176; SDI = 0, n = 196; SDI≥5, n = 51), using 45 variables (44 clinical parameters plus BMD). ANNs were allowed to choose relevant input data automatically (TWIST-system-Semeion). Among 45 variables, 17 and 25 were selected by TWIST-system-Semeion, in SDI≥1 vs SDI = 0 (first) and SDI≥5 vs SDI = 0 (second) analysis. In the first analysis sensitivity of LR and ANNs was 35.8% and 72.5%, specificity 76.5% and 78.5% and accuracy 56.2% and 75.5%, respectively. In the second analysis, sensitivity of LR and ANNs was 37.3% and 74.8%, specificity 90.3% and 87.8%, and accuracy 63.8% and 81.3%, respectively.

Conclusions

ANNs showed a better performance in identifying both SDI≥1 and SDI≥5, with a higher sensitivity, suggesting its promising role in the development of algorithm for predicting OF.     

Hydroxychloroquine improves insulin sensitivity in obese non-diabetic individuals

Introduction

Hydroxychloroquine (HCQ) is a common disease modifying therapy for the treatment of rheumatoid arthritis (RA). Prior research suggests that HCQ may reduce the risk of diabetes mellitus in patients with RA. To investigate the mechanism of this effect, we examined the effect of HCQ on insulin resistance, insulin sensitivity, and pancreatic β-cell secretion of insulin in non-diabetic, obese subjects.

Methods

We recruited 13 obese, non-diabetic subjects without systemic inflammatory conditions for an open-label longitudinal study of HCQ 6.5 mg per kilogram per day for six weeks. Subjects underwent an oral glucose tolerance test at three time points: 0 weeks (pre-treatment with HCQ), 6 weeks (at the end of the HCQ treatment), and 12 weeks (6 weeks post HCQ-treatment). The Matsuda Insulin Sensitivity Index (ISI), HOMA-IR, and HOMA-B were compared across time-points.

Results

The mean age of the cohort was 49 years, 77% females and median body mass index was 36.1 kg/m². After 6 weeks of HCQ therapy, ISI increased from a median (interquartile range) of 4.5 (2.3-7.8) to 8.9 (3.7-11.4) with a p-value of 0.040, and HOMA-IR decreased from a median of 2.1 (1.6-5.4) to 1.8 (1.02-2.1) with a p-value of 0.09. All these variables returned toward baseline at week 12.

Conclusion

HCQ use for 6 weeks in non diabetic obese subjects was associated with a significant increase in ISI and trends toward reduced insulin resistance and insulin secretion. These data suggest that HCQ, a common medication used to treat RA, possesses beneficial effects upon insulin sensitization. Further study of the insulin sensitizing effects of HCQ in patients with RA is warranted.     

Structure activity relationship studies on Amb639752: toward the identification of a common pharmacophoric structure for DGKα inhibitors

Abstract

A series of analogues of Amb639752, a novel diacylglycerol kinase (DGK) inhibitor recently discovered by us via virtual screening, have been tested. The compounds were evaluated as DGK inhibitors on α, θ, and ζ isoforms, and as antagonists on serotonin receptors. From these assays emerged two novel compounds, namely 11 and 20, which with an IC₅₀ respectively of 1.6 and 1.8 µM are the most potent inhibitors of DGKα discovered to date. Both compounds demonstrated the ability to restore apoptosis in a cellular model of X-linked lymphoproliferative disease as well as the capacity to reduce the migration of cancer cells, suggesting their potential utility in preventing metastasis. Finally, relying on experimental biological data, molecular modelling studies allow us to set a three-point pharmacophore model for DGK inhibitors.     

Replacement of the double bond of antitubulin chalcones with triazoles and tetrazoles: Synthesis and biological evaluation

In the chalcone scaffold, it is thought that the double bond is an important structural linker but it is likely not essential for the interaction with tubulin. Yet, it may be a potential site of metabolic degradation and interaction with biological nucleophiles. In this letter, we have replaced this olefinic portion of chalcones with two metabolically stable and chemically inert heterocyclic rings, namely triazole or tetrazole. Yet, our biologic data suggest that, unlike in other antitubulinic structures, the olephinic ring might not be merely a structural linker.     

Stainless and shape memory alloy coronary stents: a computational study on the interaction with the vascular wall

Balloon-expandable and self-expandable stents are the two types of coronary stents available. Basically, they differ in the modality of expansion.The present study analyses the stress state induced on the vascular wall, by the expansion of balloon- and self-expandable stents, using the finite element method. Indeed, modified mechanical stress state is in part responsible in the restenosis process. The balloon-expandable stents herein investigated are assumed to be made of stainless steel, while the self-expandable stents are made of a shape memory alloy. The effects of the severity of the coronary stenosis, the atherosclerotic plaque stiffness and the stent design are investigated. Comparing the self-expandable stent with the balloon-expandable one, the former induces fewer stresses and lower damage to the vessel, but, on the other hand, its lower stiffness induces a lower capability to restore vasal lumen and to contrast arterial elastic recoil.