Effect of Efalizumab on neutrophil and monocyte functions in patients with psoriasis

We evaluated the effect of efalizumab on neutrophil and monocyte functions. The in vitro preincubation with efalizumab concentrations similar to those reached during in vivo therapy almost completely saturated CD11a binding sites without affecting the membrane expression of CD11b, CD128a or CD128b. There was a significant reduction in the chemotactic activity of the pre-treated cells toward three different chemo-attractants, whereas their phagocytic capacity and production of oxygen radicals remained unchanged. One month after the administration of efalizumab to five patients with psoriasis (T1) circulating neutrophil counts increased by 34% from pre-therapy (T0) with no change in the number of monocytes. In the same patients the CD11a binding sites on phagocytes were >90% saturated, and there was also a significant down-modulation on neutrophils (44% of T0) and monocytes (63% of T0). In line with in vitro results, efalizumab treatment caused a significant deficiency in the chemotactic properties of neutrophils and monocytes, but no changes in phagocytosis, oxidative burst, production of pro-inflammatory cytokines or the membrane expression of CD11b, CD128a and CD128b. Our findings suggest that neutrophils and monocytes may be among the targets of efalizumab activity in patients with psoriasis

Phenotypic definition and genotype-phenotype correlates in pmpca-related disease

Background: Peptidase mitochondrial processing alpha (PMPCA) biallelic mutations cause a spectrum of disorders ranging from severe progressive multisystemic mitochondrial encephalopathy to a milder non-progressive cerebellar ataxia with or without intellectual disability. Recently, we and others described an intermediate phenotype in two unrelated patients. Methods: We report a second Italian patient carrying novel PMPCA variants (p.Trp278Leu; p.Arg362Gly). Molecular modeling, dynamics simulation, RT-qPCR, and Western blotting were performed to predict the pathogenic impact of variants in the two Italian patients and attempt genotype-phenotype correlates. Results: In line with the two patients with intermediate phenotypes, our case presented global psychomotor delay with regression, intellectual disability, spastic-ataxic gait, and hyperkinetic movements, with cerebellar atrophy and bilateral striatal hyperintensities. However, blood lactate, muscle biopsy, and MRI spectroscopy were normal. PMPCA protein levels were significantly higher than controls despite normal cDNA levels. Dynamics simulation of several PMPCA missense variants showed a variable impact on the flexibility of the glycine rich loop and, for some cases, on the overall protein stability, without clear genotype-phenotype correlates. Conclusion: We confirm the expansion of PMPCA phenotypic spectrum including an intermediate phenotype of progressive encephalopathy without systemic involvement. The association of cerebellar atrophy with “Leigh-like” striatal hyperintensities may represent a “red flag” for this condition

Origin of the strong interaction between polar molecules and copper(II) paddle-wheels in metal organic frameworks

The copper paddle-wheel is the building unit of many metal organic frameworks. Because of the ability of the copper cations to attract polar molecules, copper paddle-wheels are promising for carbon dioxide adsorption and separation. They have therefore been studied extensively, both experimentally and computationally. In this work we investigate the copper–CO2 interaction in HKUST-1 and in two different cluster models of HKUST-1: monocopper Cu(formate)2 and dicopper Cu2(formate)4. We show that density functional theory methods severely underestimate the interaction energy between copper paddle-wheels and CO2, even including corrections for the dispersion forces. In contrast, a multireference wave function followed by perturbation theory to second order using the CASPT2 method correctly describes this interaction. The restricted open-shell Møller–Plesset 2 method (ROS-MP2, equivalent to (2,2) CASPT2) was also found to be adequate in describing the system and used to develop a novel force field. Our parametrization is able to predict the experimental CO2 adsorption isotherms in HKUST-1, and it is shown to be transferable to other copper paddle-wheel systems

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

By combining metal nodes with organic linkers we can potentially synthesize millions of possible metal organic frameworks (MOFs). At present, we have libraries of over ten thousand synthesized materials and millions of in-silico predicted materials. The fact that we have so many materials opens many exciting avenues to tailor make a material that is optimal for a given application. However, from an experimental and computational point of view we simply have too many materials to screen using brute-force techniques. In this review, we show that having so many materials allows us to use big-data methods as a powerful technique to study these materials and to discover complex correlations. The first part of the review gives an introduction to the principles of big-data science. We emphasize the importance of data collection, methods to augment small data sets, how to select appropriate training sets. An important part of this review are the different approaches that are used to represent these materials in feature space. The review also includes a general overview of the different ML techniques, but as most applications in porous materials use supervised ML our review is focused on the different approaches for supervised ML. In particular, we review the different method to optimize the ML process and how to quantify the performance of the different methods. In the second part, we review how the different approaches of ML have been applied to porous materials. In particular, we discuss applications in the field of gas storage and separation, the stability of these materials, their electronic properties, and their synthesis. The range of topics illustrates the large variety of topics that can be studied with big-data science. Given the increasing interest of the scientific community in ML, we expect this list to rapidly expand in the coming years.Comment: Editorial changes (typos fixed, minor adjustments to figures

Late adoptions:Attachment security and emotional availability in mother-child and father-child dyads

A growing body of research suggests that a history of neglect, abuse and institutionalization can negatively affect late-adopted children's attachment representations, and that adoptive parents can play a key role in enabling adopted children to earn secure attachments. Still, only a few studies have explored the quality of caregiver-child interaction in adoptive families. The present study aimed at verifying both the concordance of attachment in adoptive dyads (mother-children and father-children) and the relationship between attachment representations and parent-child interaction. The research involved 20 adoptive families in which the child's arrival had occurred between 12 to 36 months before the assessment, and where children were aged between 4.5 and 8.5 years. Attachment was assessed through the Adult Attachment Interview for parents and through the Manchester Child Attachment Story Task for children. The emotional quality of parent-child interaction was assessed trough the Emotional Availability Scales. Our results pointed out the presence of a relation between attachment representations of late-adopted children and their adoptive mothers (75%, K = 0.50, p =.025). In addition, we found that both insecure children and mothers showed lower levels of EA than secure ones. Some explanations are presented about why, in the early post-adoption period, child attachment patterns and dyadic emotional availability seem to be arranged on different frameworks for the two parental figures

Metal-organic frameworks as kinetic modulators for branched selectivity in hydroformylation.

Finding heterogeneous catalysts that are superior to homogeneous ones for selective catalytic transformations is a major challenge in catalysis. Here, we show how micropores in metal-organic frameworks (MOFs) push homogeneous catalytic reactions into kinetic regimes inaccessible under standard conditions. Such property allows branched selectivity up to 90% in the Co-catalysed hydroformylation of olefins without directing groups, not achievable with existing catalysts. This finding has a big potential in the production of aldehydes for the fine chemical industry. Monte Carlo and density functional theory simulations combined with kinetic models show that the micropores of MOFs with UMCM-1 and MOF-74 topologies increase the olefins density beyond neat conditions while partially preventing the adsorption of syngas leading to high branched selectivity. The easy experimental protocol and the chemical and structural flexibility of MOFs will attract the interest of the fine chemical industries towards the design of heterogeneous processes with exceptional selectivity

La tachicardiomiopatia: una revisione della letteratura

A fast heart rate or an irregular ventricular rhythm can produce various degrees of functional impairment and structural remodeling of the ventricle referred to as tachycardia-related cardiomyopathy or tachycardiomyopathy. This form of myocardial dysfunction can be caused by supraventricular or ventricular tachyarrhythmias that are incessant and associated with ventricular rates higher than 120 bpm. It can be reversed with pharmacological or nonpharmacological rate control or arrhythmia reversion. The prevalence of ventricular and supraventricular tachyarrhythmias is high among patients with heart failure. Consequently, in clinical settings, it may be difficult to determine whether a patient with severe ventricular dysfunction and supraventricular tachyarrhythmia associated with a rapid ventricular response is suffering from tachycardiomyopathy or from heart failure complicated by the subsequent development of a supraventricular tachyarrhythmia (e.g. atrial fibrillation). This typical "chicken-or-the-egg" dilemma can be resolved by treating the arrhythmia (pharmacological or nonpharmacological rate and/or rhythm control) and closely monitoring the evolution of the left ventricular dysfunction. Proper management of tachycardiomyopathy requires appropriate decision making, use of both pharmacological and nonpharmacological treatment approaches, and close follow-up. The purpose of this review article is to examine currently available data (experimental and clinical) on this complex clinical entity and on rate-control therap

Citometria a flusso: nozioni generali

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