The Italian version of the Job Crafting Scale (JCS)

Job crafting refers to actions carried out by workers in order to bring their job demands and job resources at a preferred level. Crafting behaviors are measured by the Dutch Job Crafting Scale (JCS). The Italian version of the JCS includes the following three positive factors: increasing structural job resources, social job resources and challenging job demands. To assess the factorial validity of the scale, an exploratory factor analysis (N=311) and confirmatory factor analyses (N=410) were performed. Convergent and criterion validity were investigated through correlations with other variables. Factor analyses showed a good three-factor structure, in line with the literature. Moreover, as expected, job crafting behaviors were correlated with work self-efficacy, work engagement and job performance. Results suggest that the Italian version of the JCS can be reliably used to measure job crafting

From the Amelioration of a NADP+-dependent Formate Dehydrogenase to the Discovery of a New Enzyme: Round Trip from Theory to Practice

NADP+-dependent formate dehydrogenases (FDHs) are biotechnologically relevant enzymes for cofactors regeneration in industrial processes employing redox biocatalysts. Their effective applicability is however hampered by the low cofactor and substrate affinities of the few enzymes described so far. After different efforts to ameliorate the previously studied GraFDH from the acidobacterium Granulicella mallensis MP5ACTX8, an enzyme having double (NAD+ and NADP+) cofactor specificity, we started over our search with the advantage of hindsight. We identified and characterized GraFDH2, a novel highly active FDH, which proved to be a good NAD+-dependent catalyst. A rational engineering approach permitted to switch its cofactor specificity, producing an enzyme variant that displays a 10-fold activity improvement over the wild-type enzyme with NADP+. Such variant resulted to be one of the best performing enzyme among the NADP+-dependent FDHs reported so far in terms of catalytic performance

Self-efficacy and work performance: the role of job crafting in middle-age workers

In the last years, the scientific interest on job crafting within the Job demands-resources theory has been increased. The paper aimed to examine the role of job crafting in the relationship between self-efficacy and performance at work. Based on Job demands-resources theory, we hypothesized that employees with higher levels of self-efficacy would be most likely to make proactively changes in their own jobs in order to perform well. Specifically, we hypothesized that job crafting may mediate the positive effects between self-efficacy and work performance and organizational citizenship behaviours. Participants were 361 employees of different Italian organizations. Results from SEM showed the positive effect of self-efficacy on job crafting, work performance, and organizational citizenship behaviours. Furthermore, job crafting partially mediated the relationship between self-efficacy and work performance and totally mediated the relationship between self-efficacy and organizational citizenship behaviours. Findings suggest that job crafting can play a crucial role in the influence of personal resources, as self-efficacy, and the performance at work. Findings suggest that job crafting can play a crucial role in the influence of personal resources, as self-efficacy, and the performance at work

The Impact of Amino Acid Variability on Alloreactivity Defines a Functional Distance Predictive of Permissive HLA-DPB1 Mismatches in Hematopoietic Stem Cell Transplantation

AbstractA major challenge in unrelated hematopoietic stem cell transplantation (HSCT) is the prediction of permissive HLA mismatches, ie, those associated with lower clinical risks compared to their nonpermissive counterparts. For HLA-DPB1, a clinically prognostic model has been shown to be matching for T cell epitope (TCE) groups assigned by cross reactivity of T cells alloreactive to HLA-DPB1∗09:01; however, the molecular basis of this observation is not fully understood. Here, we have mutated amino acids (aa) in 10 positions of HLA-DPB1∗09:01 to other naturally occurring variants, expressed them by lentiviral vectors in B cell lines, and quantitatively measured allorecognition by 17 CD4+ T cell effectors from 6 unrelated individuals. A significant impact on the median alloresponse was observed for peptide contact positions 9, 11, 35, 55, 69, 76, and 84, but not for positions 8, 56, and 57 pointing away from the groove. A score for the “functional distance” (FD) from HLA-DPB1∗09:01 was defined as the sum of the median impact of polymorphic aa in a given HLA-DPB1 allele on T cell alloreactivity. Established TCE group assignment of 23 alleles correlated with FD scores of ≤0.5, 0.6 to 1.9 and ≥2 for TCE groups 1, 2, and 3, respectively. Based on this, prediction of TCE group assignment will be possible for any given HLA-DPB1 allele, including currently 367 alleles encoding distinct proteins for which T cell cross reactivity patterns are unknown. Experimental confirmation of the in silico TCE group classification was successfully performed for 7 of 7 of these alleles. Our findings have practical implications for the applicability of TCE group matching in unrelated HSCT and provide new insights into the molecular mechanisms underlying this model. The innovative concept of FD opens new potential avenues for risk prediction in unrelated HSCT

Interpretazione dell'ECG: un momento fondamentale nella gestione clinica del paziente cardiologico

Il caso clinico proposto si riferisce a un paziente che presenta diverse manifestazioni elettrocardiografiche riferibili a doppia via nodale. Tale reperto, di riscontro non raro, deve essere opportunamente riconosciuto in quanto potrebbe condurre all'erronea diagnosi di blocco atrio-ventricolare, con conseguenti ripercussioni terapeutiche. Parole chiave: Tachicardia da rientro nodale; Blocco atrio-ventricolare; Elettrocardiogramma; Doppia via nodale

The ER stress response mediator ERO1 triggers cancer metastasis by favoring the angiogenic switch in hypoxic conditions

: Solid tumors are often characterized by a hypoxic microenvironment which contributes, through the hypoxia-inducible factor HIF-1, to the invasion-metastasis cascade. Endoplasmic reticulum (ER) stress also leads tumor cells to thrive and spread by inducing a transcriptional and translational program, the Unfolded Protein Response (UPR), aimed at restoring ER homeostasis. We studied ERO1 alpha (henceforth ERO1), a protein disulfide oxidase with the tumor-relevant characteristic of being positively regulated by both ER stress and hypoxia. Analysis of the redox secretome indicated that pro-angiogenic HIF-1 targets, were blunted in ERO1-devoid breast cancer cells under hypoxic conditions. ERO1 deficiency reduced tumor cell migration and lung metastases by impinging on tumor angiogenesis, negatively regulating the upstream ATF4/CHOP branch of the UPR and selectively impeding oxidative folding of angiogenic factors, among which VEGF-A. Thus, ERO1 deficiency acted synergistically with the otherwise feeble curative effects of anti-angiogenic therapy in aggressive breast cancer murine models and it might be exploited to treat cancers with pathological HIF-1-dependent angiogenesis. Furthermore, ERO1 levels are higher in the more aggressive basal breast tumors and correlate inversely with the disease- and metastasis-free interval of breast cancer patients. Thus, taking advantage of our in vitro data on ERO1-regulated gene products we identified a gene set associated with ERO1 expression in basal tumors and related to UPR, hypoxia, and angiogenesis, whose levels might be investigated in patients as a hallmark of tumor aggressiveness and orient those with lower levels toward an effective anti-angiogenic therapy

Aislamiento de hongos entomopatógenos en suelo y sobre gallinas ciegas (Coleoptera: Melolonthidae) en agroecosistemas de maíz

The knowledge on the presence and abundance of natural enemies of white grubs in Mexico is limited. Therefore the aim of the present work is to isolate, identify and preserve entomopathogens from corn cultivated soils and from collections made directly on white grubs in Morelos. Altitudes of these georeferenced (GPS) sites ranged between 1000 to 2300 masl. Forty four soil sample collectionswere made in these sites. Fungal detection was made by the trap insect technique using Galleria mellonella (Lepidoptera: Pyralidae) as a bait. Besides, white grub species present in each site belonging to different larval instars. These larvae were identified to morphospecies on the basis of the raster palidia and were observed until death or adult emergence. Field collected dead larvae with fungal infections were also identified in the same way. Both the larvae of G. mellonela and white grubs were used to isolate and identify the fugal species present. Fungal identification was made on the basis of morphology and fungal development on the insect which correlates with conidial size and shape and the conidial formation in colonies of purified isolates. Fourty eight fungal isolates (seven from white grubs and 41 G. mellonella) have been preserved in the Biological Control Laboratory of the CEIB-UAEM (a replicate has been placed in Fungal Entomopathogens Colllection of CNRCB). In this collection 15 strains of Metarhizium anisopliae, 30 strains of Beauveria bassiana and three strains of Paecilomyces sp. are present. This fungal diversity is valuable in the zone for conservation purposes and for its potencial as biocontrol agents against white grubs and other corn pests.En México se conoce poco sobre la presencia y abundancia de enemigos naturales de plagas suelo como las Phyllophaga spp. Por lo anterior se realizó el presente trabajo con los objetivos de aislar, identificar y conservar entomopatógenos en suelos cultivados con maíz y sobre inmaduros de gallina ciega en el estado de Morelos. En altitudes de 1000 a 2300 msnm, se realizaron cuarenta y cuatro colectas de suelo en sitios georeferenciados (GPS). La detección de hongos se realizó mediante la técnica de insecto trampa, Galleria mellonella (Lepidoptera: Pyralidae). Además, se colectaron inmaduros de gallina ciega de diversos estadios larvales en diferentes localidades, se separaron por morfoespecie de acuerdo a la forma del ráster y se tomaron fotografías de cada morfoespecie. Tanto de las larvas de G. mellonela como de las gallinas ciegas se realizaron aislamientos e identificación de hongos entomopatógenos. Se identificaron siete morfoespecies y tres especies de Phyllophaga, alimentándose sobre raíces de plantas de maíz, además de tres especies de Paranomala. Se conservan en la Colección del Laboratorio de Control Biológico del Centro de Investigación en Biotecnología de la Universidad Autónoma del Estado de Morelos (con respaldo en la Colección de Hongos Entomopatógenos del CNRCB) cuarenta y ocho aislamientos de hongos entomopatógenos (siete aislados de gallina ciega y 41 de larvas de G. mellonella). De éstos, 15 corresponden a Metarhizium anisopliae, 30 a Beauveria bassiana y tres a Paecilomyces sp. Estos aislamientos poseen un gran valor para la zona, desde el punto de vista de conservación de la biodiversidad de enemigos naturales de plagas agrícolas y por su potencial como agentes de control biológico de GC y otras plagas del maíz.

ACE2 expression in adipose tissue is associated with cardio-metabolic risk factors and cell type composition-implications for COVID-19

Background COVID-19 severity varies widely. Although some demographic and cardio-metabolic factors, including age and obesity, are associated with increasing risk of severe illness, the underlying mechanism(s) are uncertain. Subjects/methods In a meta-analysis of three independent studies of 1471 participants in total, we investigated phenotypic and genetic factors associated with subcutaneous adipose tissue expression of Angiotensin I Converting Enzyme 2 (ACE2), measured by RNA-Seq, which acts as a receptor for SARS-CoV-2 cellular entry. Results Lower adipose tissue ACE2 expression was associated with multiple adverse cardio-metabolic health indices, including type 2 diabetes (T2D) (P = 9.14 x 10(-6)), obesity status (P = 4.81 x 10(-5)), higher serum fasting insulin (P = 5.32 x 10(-4)), BMI (P = 3.94 x 10(-4)), and lower serum HDL levels (P = 1.92 x 10(-7)). ACE2 expression was also associated with estimated proportions of cell types in adipose tissue: lower expression was associated with a lower proportion of microvascular endothelial cells (P = 4.25 x 10(-4)) and higher proportion of macrophages (P = 2.74 x 10(-5)). Despite an estimated heritability of 32%, we did not identify any proximal or distal expression quantitative trait loci (eQTLs) associated with adipose tissue ACE2 expression. Conclusions Our results demonstrate that individuals with cardio-metabolic features known to increase risk of severe COVID-19 have lower background ACE2 levels in this highly relevant tissue. Reduced adipose tissue ACE2 expression may contribute to the pathophysiology of cardio-metabolic diseases, as well as the associated increased risk of severe COVID-19.Peer reviewe

APOLLO 11 Project, Consortium in Advanced Lung Cancer Patients Treated With Innovative Therapies: Integration of Real-World Data and Translational Research

Introduction: Despite several therapeutic efforts, lung cancer remains a highly lethal disease. Novel therapeutic approaches encompass immune-checkpoint inhibitors, targeted therapeutics and antibody-drug conjugates, with different results. Several studies have been aimed at identifying biomarkers able to predict benefit from these therapies and create a prediction model of response, despite this there is a lack of information to help clinicians in the choice of therapy for lung cancer patients with advanced disease. This is primarily due to the complexity of lung cancer biology, where a single or few biomarkers are not sufficient to provide enough predictive capability to explain biologic differences; other reasons include the paucity of data collected by single studies performed in heterogeneous unmatched cohorts and the methodology of analysis. In fact, classical statistical methods are unable to analyze and integrate the magnitude of information from multiple biological and clinical sources (eg, genomics, transcriptomics, and radiomics). Methods and objectives: APOLLO11 is an Italian multicentre, observational study involving patients with a diagnosis of advanced lung cancer (NSCLC and SCLC) treated with innovative therapies. Retrospective and prospective collection of multiomic data, such as tissue- (eg, for genomic, transcriptomic analysis) and blood-based biologic material (eg, ctDNA, PBMC), in addition to clinical and radiological data (eg, for radiomic analysis) will be collected. The overall aim of the project is to build a consortium integrating different datasets and a virtual biobank from participating Italian lung cancer centers. To face with the large amount of data provided, AI and ML techniques will be applied will be applied to manage this large dataset in an effort to build an R-Model, integrating retrospective and prospective population-based data. The ultimate goal is to create a tool able to help physicians and patients to make treatment decisions. Conclusion: APOLLO11 aims to propose a breakthrough approach in lung cancer research, replacing the old, monocentric viewpoint towards a multicomprehensive, multiomic, multicenter model. Multicenter cancer datasets incorporating common virtual biobank and new methodologic approaches including artificial intelligence, machine learning up to deep learning is the road to the future in oncology launched by this project