FDI in Business Services has general TFP effects : evidence from Italy

This paper studies the effect of FDI in business services on Total Factor Productivity of Italian manufacturing firms, over the period 2003-2008. More precisely, the paper tests the impact of forward inter industry linkages at local level. Our results, robust to different specifications, show that foreign capital infl ows improve the performance of domestic manufacturing firms. This relationship is particularly strong in the case of high tech sectors, such as mechanics and machinery. Traditional sectors, on the other hand, seem to be less sensitive to the availability of foreign business services in the same location.

Migration, labor tasks and production structure

We assess the effect of migrants’ stock on the production structure of the Italian provinces (NUTS3) in 1995–2006. Although the investigated time span is very short, the effect is small but statistically significant: a doubling in the ratio of foreign-born residents to the province population induces a significant increase in manufactures’ value added with respect to services’ value added between 12 and 21 per cent. These effects are more intense when considering an increase in foreign-born populations drawn from countries more different to Italy (in terms of GDP per capita and educational attainment). These results are compatible with the reduced form of a two-sector model where we assume that production is performed with one mobile factor and two sector-specific CES labor composites of simple and complex tasks. If migrants and natives have different productivity when performing simple or complex tasks, an inflow of migrants induces production restructuring in favor of the simple-task intensive sector

Firm Level Allocative Inefficiency: Evidence from France

A large portion of productivity differentials among locations is related to density. Firms located in denser areas are more productive due to agglomeration economies (Combes et al., 2012). We provide in this paper an explanation of such economies: lower input misallocation. The distribution of resources among heterogeneous firms has relevant consequences on allocative efficiency and denser areas provide a more favorable environment for dynamic matching between employers and employees. Using a methodology proposed by Petrin and Sivadasan (2013) we are able to assess the degree of resource misallocation among firms within sectors for each of the 96 French "Départements". Based on firm-level productivity estimates, we identify in the gap between the value of the marginal product and marginal input price the output loss due to inefficiencies in inputs allocation. Over the period 1993-2007 the average gap at firm level is around 10 thousands euro, showing a relevant increase starting from the early 2000s. Importantly, firms misallocations are lower in denser areas, suggesting that the matching mechanism is playing a role in explaining the productivity premium of agglomerated locations

Internal vs. External Firm Productivity Drivers. A Study of the Italian Counties

We analyzed productivity growth differentials across 68,000 Italian manufacturing firms over 2001-2010, in order to disentangle internal and external productivity drivers. A two-stage procedure was implemented for extracting fixed effects on the firms for 103 home counties (stage one), and regressing them upon a number of external factors that could affect productivity dynamics (stage two). We found that a rather limited set of external drivers related to financial conditions, social capital and market potential explain approximately two-thirds of the cross-county productivity dispersion

Dynamique structurale de l'acetylcholinesterase et ses implications dans la conception de réactivateurs

Acetylcholinesterase (AChE), one of nature fastest enzyme, is the target of multiple toxics,including organophosphate nerve agents (OP). In the first part of this thesis I present thestructure-based development of a new uncharged reactivator, which showed characteristicsbetter than any molecule commercially available to date. The molecule has been rationallydesigned to present both affinity to the inhibited enzyme and good reactivation capabilities.The interactions between the lead molecule KM297 and AChE has been characterizedby means of flexible docking, molecular dynamics simulations and X-ray protein crystallography.The deeper understanding of its binding modes to both native and OP-inhibitedAChE has helped in developing a derivative, JDS207, whose binding mode at the peripheralsite of AChE is optimized. This derivative has also been studied by flexible docking and Xraycrystallography. The design of this family of reactivators taught us that a deep insightof the AChE dynamics is necessary to optimize ligands. The second part of the thesis isdevoted to the analysis of molecular dynamics simulations of AChE. At first, we assessedthat combining multiple short simulations is a fast and reliable method to characterizethe dynamics of the amino-acids side-chains. By comparing dynamics of the side-chainsfrom hAChE and TcAChE, we confirm that some key dynamical differences exist betweenthe two enzyme. The knowledge of the rotamers issued of MD simulation has lead us todevelop a new method to generate flexible receptors for docking, which is specific to eachsingle residue in the enzyme. This method has been validated by comparing its outputstructures with the ones found on the PDB database.L’acétylcholinestérase (AChE), une des enzymes les plus rapides dans la nature, est lacible d’un large nombre de toxiques, dont notamment les neurotoxiques organophosphorés.La première partie de ce manuscrit de thèse décrit le développement raisonné d’un nouveauréactivateur, qui présente des propriétés de réactivation supérieures aux moléculesactuellement sur le marché. Les interactions entre cette molécule, KM297, et l’AChE ontété étudiées par dynamique moléculaire, docking et cristallographie aux rayons X. La connaissancedes modes de liaison du KM297 dans l’AChE native ou inhibé par un OP ontpermis de développer la molécule JDS207, qui se lie de façon exclusive au site périphériquede l’AChE. La deuxième partie de la thèse est dédiée à l’analyse des simulations de laAChE par dynamique moléculaire. On observe que la combinaison de multiples trajectoiresgénérées avec des paramètres de vélocité initiale différents est une méthode fiablepour caractériser les conformations atteintes par les chaînes latérales des acides aminés. Encomparant la distribution des rotamères pour l’AChE humaine et celle du poisson Torpedocalifornica, on montre que des différences importantes existent entre les enzymes des deuxespèces. A partir de ces informations sur les conformations de résidus clés du site actif,une méthode a été développée pour générer des récepteurs utilisable pour des calcules dedocking flexible, de façon à prendre en compte la dynamique propre à chaque résidu del’enzyme. Cette méthode a été validé en comparent les résultats obtenues à des structurescristallographiques connues

Dynamique structurale de l'acetylcholinesterase et ses implications dans la conception de réactivateurs

Acetylcholinesterase (AChE), one of nature fastest enzyme, is the target of multiple toxics,including organophosphate nerve agents (OP). In the first part of this thesis I present thestructure-based development of a new uncharged reactivator, which showed characteristicsbetter than any molecule commercially available to date. The molecule has been rationallydesigned to present both affinity to the inhibited enzyme and good reactivation capabilities.The interactions between the lead molecule KM297 and AChE has been characterizedby means of flexible docking, molecular dynamics simulations and X-ray protein crystallography.The deeper understanding of its binding modes to both native and OP-inhibitedAChE has helped in developing a derivative, JDS207, whose binding mode at the peripheralsite of AChE is optimized. This derivative has also been studied by flexible docking and Xraycrystallography. The design of this family of reactivators taught us that a deep insightof the AChE dynamics is necessary to optimize ligands. The second part of the thesis isdevoted to the analysis of molecular dynamics simulations of AChE. At first, we assessedthat combining multiple short simulations is a fast and reliable method to characterizethe dynamics of the amino-acids side-chains. By comparing dynamics of the side-chainsfrom hAChE and TcAChE, we confirm that some key dynamical differences exist betweenthe two enzyme. The knowledge of the rotamers issued of MD simulation has lead us todevelop a new method to generate flexible receptors for docking, which is specific to eachsingle residue in the enzyme. This method has been validated by comparing its outputstructures with the ones found on the PDB database.L’acétylcholinestérase (AChE), une des enzymes les plus rapides dans la nature, est lacible d’un large nombre de toxiques, dont notamment les neurotoxiques organophosphorés.La première partie de ce manuscrit de thèse décrit le développement raisonné d’un nouveauréactivateur, qui présente des propriétés de réactivation supérieures aux moléculesactuellement sur le marché. Les interactions entre cette molécule, KM297, et l’AChE ontété étudiées par dynamique moléculaire, docking et cristallographie aux rayons X. La connaissancedes modes de liaison du KM297 dans l’AChE native ou inhibé par un OP ontpermis de développer la molécule JDS207, qui se lie de façon exclusive au site périphériquede l’AChE. La deuxième partie de la thèse est dédiée à l’analyse des simulations de laAChE par dynamique moléculaire. On observe que la combinaison de multiples trajectoiresgénérées avec des paramètres de vélocité initiale différents est une méthode fiablepour caractériser les conformations atteintes par les chaînes latérales des acides aminés. Encomparant la distribution des rotamères pour l’AChE humaine et celle du poisson Torpedocalifornica, on montre que des différences importantes existent entre les enzymes des deuxespèces. A partir de ces informations sur les conformations de résidus clés du site actif,une méthode a été développée pour générer des récepteurs utilisable pour des calcules dedocking flexible, de façon à prendre en compte la dynamique propre à chaque résidu del’enzyme. Cette méthode a été validé en comparent les résultats obtenues à des structurescristallographiques connues

NCR+ ILC3 maintain larger STAT4 reservoir via T-BET to regulate type 1 features upon IL-23 stimulation in mice

Innate lymphoid cells (ILCs) producing IL-22 and/or IL-17, designated as ILC3, comprise a heterogeneous subset of cells involved in regulation of gut barrier homeostasis and inflammation. Exogenous environmental cues in conjunction with regulated expression of endogenous factors are key determinants of plasticity of ILC3 towards the type 1 fate. Herein, by using mouse models and transcriptomic approaches, we defined at the molecular level, initial events driving ILC3 expressing natural cytotoxicity receptors (NCR+ ILC3) to acquire type 1 features. We observed that NCR+ ILC3 exhibited high basal expression of the signal-dependent transcription factor STAT4 due to T-BET, leading to predisposed potential for the type 1 response. We found that the prototypical inducer of type 3 response, IL-23, played a predominant role over IL-12 by accessing STAT4 and preferentially inducing its phosphorylation in ILC3 expressing T-BET. The early effector program driven by IL-23 was characterized by the expression of IL-22, followed by a production of IFN-γ, which relies on STAT4, T-BET and required chromatin remodeling of the Ifng locus. Altogether, our findings shed light on a feed-forward mechanism involving STAT4 and T-BET that modulates the outcome of IL-23 signaling in ILC3. This article is protected by copyright. All rights reserved

Cost-Effectiveness Analysis of Dimethyl Fumarate in the Treatment of Relapsing Remitting Multiple Sclerosis: An Italian Societal Perspective

BACKGROUND: Delayed-release dimethyl fumarate (also known as gastro-resistant dimethyl fumarate, hereafter dimethyl fumarate) is an oral disease-modifying therapy used for the treatment of Relapsing-Remitting Multiple Sclerosis (RRMS), an autoimmune chronic inflammatory condition of the central nervous system.OBJECTIVE: The objective of this economic analysis was to compare cost-effectiveness of dimethyl fumarate with the alternatives used as first-line treatment of RRMS in Italy.METHODS: The analysis was conducted from the Italian societal perspective. Health outcomes and costs were evaluated over a 50-year time horizon (equivalent to a lifetime horizon). Both health outcomes and costs were discounted at 3.5%. The cost-effectiveness analysis was conducted by adapting a Markov model, already used in previous similar economic analyses conducted in RRMS, to the Italian context. The Markov model estimated the clinical and economic consequences of treating RRMS patients with the following therapeutic options: dimethyl fumarate; interferon (IFN) beta-1a subcutaneous (SC) at two different doses, 22 mcg and 44 mcg; IFN beta-1b SC; glatiramer acetate (GA) SC 20 mg; oral teriflunomide. Clinical efficacy data were retrieved from an elaboration of an already published mixed treatment comparison (MTC). Both direct and indirect costs (disability, treatment acquisition, administration, monitoring, relapses, adverse events) were included in the analysis. One-way and probabilistic sensitivity analyses were carried out and cost-effectiveness acceptability curves generated.RESULTS: In the base-case analysis, dimethyl fumarate was more efficacious than alternatives, in terms of both survival (19.634 vs. 19.440-19.600 life years for alternatives), and quality-of-life-adjusted survival (6.526 vs. 5.143- 6.189 QALYs for alternatives). The total lifetime cost per patient treated with dimethyl fumarate (€ 954,286) was lower than that of the other DMTs included in the analysis. Therefore, dimethyl fumarate was dominant compared with all analyzed alternatives. Dimethyl fumarate was also the therapeutic option with the highest benefit on disease burden. In fact, costs of disability management were lower than those of all the other first-line drugs included in the analysis. The results of one-way deterministic sensitivity analysis and probabilistic sensitivity analysis confirmed the reliability of base-case results.CONCLUSIONS: The results of the cost-effectiveness analysis confirm that dimethyl fumarate is an optimal first-line treatment for RRMS in Italy, compared with the other first-line alternatives included in the economic analysis, when evaluated from the societal perspective

A simplified genomic profiling approach predicts outcome in metastatic colorectal cancer

The response of metastatic colorectal cancer (mCRC) to the first-line conventional combination therapy is highly variable, reflecting the elevated heterogeneity of the disease. The genetic alterations underlying this heterogeneity have been thoroughly characterized through omic approaches requiring elevated efforts and costs. In order to translate the knowledge of CRC molecular heterogeneity into a practical clinical approach, we utilized a simplified Next Generation Sequencing (NGS) based platform to screen a cohort of 77 patients treated with first-line conventional therapy. Samples were sequenced using a panel of hotspots and targeted regions of 22 genes commonly involved in CRC. This revealed 51 patients carrying actionable gene mutations, 22 of which carried druggable alterations. These mutations were frequently associated with additional genetic alterations. To take into account this molecular complexity and assisted by an unbiased bioinformatic analysis, we defined three subgroups of patients carrying distinct molecular patterns. We demonstrated these three molecular subgroups are associated with a different response to first-line conventional combination therapies. The best outcome was achieved in patients exclusively carrying mutations on TP53 and/or RAS genes. By contrast, in patients carrying mutations in any of the other genes, alone or associated with mutations of TP53/RAS, the expected response is much worse compared to patients with exclusive TP53/RAS mutations. Additionally, our data indicate that the standard approach has limited efficacy in patients without any mutations in the genes included in the panel. In conclusion, we identified a reliable and easy-to-use approach for a simplified molecular-based stratification of mCRC patients that predicts the efficacy of the first-line conventional combination therapy