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Background: The impact of the COVID-19 pandemic on mental health is complex and affects a broad segment of the population. Several studies indicate that depressive, anxious and post-traumatic symptoms are common in people exposed to SARS-Cov2.Methods: 458 subjects were recruited during their first consultation in outpatient psychiatric services between June 2020 and October 2021. Post-traumatic, depressive and anxious symptoms were assessed using the Impact of Event Scale-Revised (IES-R), the Beck Depression Inventory Scale-second edition (BDI-II), and the Self Rating Anxiety Scale (SAS). A specific set of questions was developed, with the aim of evaluating socio-demographic variables and work, environmental and personal characteristics related to the pandemic.Results: Prevalence rates of clinically significant depressive, anxious and post-traumatic symptoms were 57.6%, 63.5% and 54.8%, respectively. Female gender, worsening of relationship status and financial consequences due to the pandemic were the conditions most strongly associated with the presence of psychopathology.Limitation: The cross-sectional design of the study doesn't allow an evaluation over time of the sample. No assumption of causality can be made due to the lack of pre-pandemic assessments for the investigated variables.Conclusions: The impact of the pandemic involves depressive, anxious and post-traumatic dimensions. The investigated psychopathology correlates with several variables expressing the personal and environmental changes that occurred in the population due to the COVID-19 emergency. The study is multicentric and the recruitment of participants was held in a clinical setting, providing a realistic picture of the consequences of the pandemic in clinical practice within mental health services.

Background and objective: Glioblastoma (GBM) is one of the most aggressive and lethal human cancers. Intra-tumoral genetic heterogeneity poses a significant challenge for treatment. Biopsy is invasive, which motivates the development of non-invasive, MRI-based machine learning (ML) models to quantify intra-tumoral genetic heterogeneity for each patient. This capability holds great promise for enabling better therapeutic selection to improve patient outcome. Methods: We proposed a novel Weakly Supervised Ordinal Support Vector Machine (WSO-SVM) to predict regional genetic alteration status within each GBM tumor using MRI. WSO-SVM was applied to a unique dataset of 318 image-localized biopsies with spatially matched multiparametric MRI from 74 GBM patients. The model was trained to predict the regional genetic alteration of three GBM driver genes (EGFR, PDGFRA and PTEN) based on features extracted from the corresponding region of five MRI contrast images. For comparison, a variety of existing ML algorithms were also applied. Classification accuracy of each gene were compared between the different algorithms. The SHapley Additive exPlanations (SHAP) method was further applied to compute contribution scores of different contrast images. Finally, the trained WSO-SVM was used to generate prediction maps within the tumoral area of each patient to help visualize the intra-tumoral genetic heterogeneity. Results: WSO-SVM achieved 0.80 accuracy, 0.79 sensitivity, and 0.81 specificity for classifying EGFR; 0.71 accuracy, 0.70 sensitivity, and 0.72 specificity for classifying PDGFRA; 0.80 accuracy, 0.78 sensitivity, and 0.83 specificity for classifying PTEN; these results significantly outperformed the existing ML algorithms. Using SHAP, we found that the relative contributions of the five contrast images differ between genes, which are consistent with findings in the literature. The prediction maps revealed extensive intra-tumoral region-to-region heterogeneity within each individual tumor in terms of the alteration status of the three genes. Conclusions: This study demonstrated the feasibility of using MRI and WSO-SVM to enable non-invasive prediction of intra-tumoral regional genetic alteration for each GBM patient, which can inform future adaptive therapies for individualized oncology. [ABSTRACT FROM AUTHOR]

Neurofibromatosis type 1 (NF1) is a common tumor predisposition syndrome in which glioma is one of the prevalent tumors. Gliomagenesis in NF1 results in a heterogeneous spectrum of low- to high-grade neoplasms occurring during the entire lifespan of patients. The pattern of genetic and epigenetic alterations of glioma that develops in NF1 patients and the similarities with sporadic glioma remain unknown. Here, we present the molecular landscape of low- and high-grade gliomas in patients affected by NF1 (NF1-glioma). We found that the predisposing germline mutation of the NF1 gene was frequently converted to homozygosity and the somatic mutational load of NF1-glioma was influenced by age and grade. High-grade tumors harbored genetic alterations of TP53 and CDKN2A, frequent mutations of ATRX associated with Alternative Lengthening of Telomere, and were enriched in genetic alterations of transcription/chromatin regulation and PI3 kinase pathways. Low-grade tumors exhibited fewer mutations that were over-represented in genes of the MAP kinase pathway. Approximately 50% of low-grade NF1-gliomas displayed an immune signature, T lymphocyte infiltrates, and increased neo-antigen load. DNA methylation assigned NF1-glioma to LGm6, a poorly defined Isocitrate Dehydrogenase 1 wild-type subgroup enriched with ATRX mutations. Thus, the profiling of NF1-glioma defined a distinct landscape that recapitulates a subset of sporadic tumors. An integrated analysis of glioma samples from patients with neurofibromatosis 1 annotates their mutational, epigenetic, transcriptional, and immunological features and uncovers similitudes with a subset of sporadic gliomas., Author(s): Fulvio D'Angelo [sup.1] [sup.2] , Michele Ceccarelli [sup.2] [sup.3] , Tala [sup.1] , Luciano Garofano [sup.1] [sup.2] , Jing Zhang [sup.1] , Véronique Frattini [sup.1] , Francesca P. Caruso [...]

As the clinical failure of glioblastoma treatment is attributed by multiple components, including myelin-associated infiltration, assessment of the molecular mechanisms underlying such process and identification of the infiltrating cells have been the primary objectives in glioblastoma research. Here, we adopted radiogenomic analysis to screen for functionally relevant genes that orchestrate the process of glioma cell infiltration through myelin and promote glioblastoma aggressiveness. The receptor of the Nogo ligand (NgR1) was selected as the top candidate through Differentially Expressed Genes (DEG) and Gene Ontology (GO) enrichment analysis. Gain and loss of function studies on NgR1 elucidated its underlying molecular importance in suppressing myelin-associated infiltration in vitro and in vivo. The migratory ability of glioblastoma cells on myelin is reversibly modulated by NgR1 during differentiation and dedifferentiation process through deubiquitinating activity of USP1, which inhibits the degradation of ID1 to downregulate NgR1 expression. Furthermore, pimozide, a well-known antipsychotic drug, upregulates NgR1 by post-translational targeting of USP1, which sensitizes glioma stem cells to myelin inhibition and suppresses myelin-associated infiltration in vivo. In primary human glioblastoma, downregulation of NgR1 expression is associated with highly infiltrative characteristics and poor survival. Together, our findings reveal that loss of NgR1 drives myelin-associated infiltration of glioblastoma and suggest that novel therapeutic strategies aimed at reactivating expression of NgR1 will improve the clinical outcome of glioblastoma patients. [ABSTRACT FROM AUTHOR]

Chronic myeloid leukemia (CML) is a stem cell derived malignant disorder result of translocation t(9;22)(q34;q11) called Philadelphia chromosome (Ph+). microRNAS (miRNAs) are involved in several biological processes, altering the progression of various pathologies, including CML. This study evaluated whether circulating miRNAs display differential expression profiles in peripheral blood of CML-Chronic Phase (CML-CP) patients newly diagnosed in comparison with CML-CP treated with imatinib. We obtained peripheral blood samples from CML-CP Ph+ patients divided among group 1 (untreated newly diagnosed) and group 2 (treated with imatinib). A pool of total leukocytes from healthy donors was considered as control group. Expression analyses were performed for 768 miRNAs by RT-qPCR array. Bioinformatic tools were used to identify significant pathways and interaction networks. We found 80 deregulated miRNAs between the groups and, according to bioinformatic analysis, they are involved in different pathways, including molecular mechanisms of cancer. The study allows better understanding of disease molecular behavior, and it is useful for possible monitoring CML treatment and prognostic biomarkers identification. [ABSTRACT FROM AUTHOR]

3,5,3'-triiodo-L-thyronine (T3) and 3,5-diiodo-L-thyronine (T2), when administered to a model of familial hypercholesterolemia, i.e., low density lipoprotein receptor (LDLr)-knockout (Ldlr-/-) mice fed with a Western type diet (WTD), dramatically reduce circulating total and very low-density lipoprotein/LDL cholesterol with decreased liver apolipoprotein B (ApoB) production. The aim of the study was to highlight putative molecular mechanisms to manage cholesterol levels in the absence of LDLr. A comprehensive comparative profiling of changes in expression of soluble proteins in livers from Ldlr-/- mice treated with either T3 or T2 was performed. From a total proteome of 450 liver proteins, 25 identified proteins were affected by both T2 and T3, 18 only by T3 and 9 only by T2. Using in silico analyses, an overlap was observed with 11/14 pathways common to both iodothyronines, with T2 and T3 preferentially altering sub-networks centered around hepatocyte nuclear factor 4 α (HNF4α) and peroxisome proliferator-activated receptor α (PPARα), respectively. Both T2 and T3 administration significantly reduced nuclear HNF4α protein content, while T2, but not T3, decreased the expression levels of the HNFα transcriptional coactivator PGC-1α. Lower PPARα levels were found only following T3 treatment while both T3 and T2 lowered liver X receptor α (LXRα) nuclear content. Overall, this study, although it was not meant to investigate the use of T2 and T3 as a therapeutic agent, provides novel insights into the regulation of hepatic metabolic pathways involved in T3- and T2-driven cholesterol reduction in Ldlr-/- mice. [ABSTRACT FROM AUTHOR]

Epidemiological and experimental data highlighted the thyroid-disrupting activity of bisphenol A (BPA). Although pivotal to identify the mechanisms of toxicity, direct low-dose BPA effects on thyrocytes have not been assessed. Here, we report the results of microarray experiments revealing that the transcriptome reacts dynamically to low-dose BPA exposure, adapting the changes in gene expression to the exposure duration. The response involves many genes, enriching specific pathways and biological functions mainly cell death/proliferation or DNA repair. Their expression is only slightly altered but, since they enrich specific pathways, this results in major effects as shown here for transcripts involved in the DNA repair pathway. Indeed, even though no phenotypic changes are induced by the treatment, we show that the exposure to BPA impairs the cell response to further stressors. We experimentally verify that prolonged exposure to low doses of BPA results in a delayed response to UV-C-induced DNA damage, due to impairment of p21-Tp53 axis, with the BPA-treated cells more prone to cell death and DNA damage accumulation. The present findings shed light on a possible mechanism by which BPA, not able to directly cause genetic damage at environmental dose, may exert an indirect genotoxic activity. [ABSTRACT FROM AUTHOR]

Background: Copy number variations are important in the detection and progression of significant tumors and diseases. Recently, Whole Exome Sequencing is gaining popularity with copy number variations detection due to low cost and better efficiency. In this work, we developed VEGAWES for accurate and robust detection of copy number variations on WES data. VEGAWES is an extension to a variational based segmentation algorithm, VEGA: Variational estimator for genomic aberrations, which has previously outperformed several algorithms on segmenting array comparative genomic hybridization data. Results: We tested this algorithm on synthetic data and 100 Glioblastoma Multiforme primary tumor samples. The results on the real data were analyzed with segmentation obtained from Single-nucleotide polymorphism data as ground truth. We compared our results with two other segmentation algorithms and assessed the performance based on accuracy and time. Conclusions: In terms of both accuracy and time, VEGAWES provided better results on the synthetic data and tumor samples demonstrating its potential in robust detection of aberrant regions in the genome. [ABSTRACT FROM AUTHOR]

Background: Comparison of toxicogenomic data facilitates the identification of deregulated gene patterns and maximizes health risk prediction in human. Results: Here, we performed phenotypic anchoring on the effects of acute exposure to low-grade polluted groundwater using mouse and zebrafish. Also, we evaluated two windows of chronic exposure in mouse, starting in utero and at the end of lactation. Bioinformatic analysis of livers microarray data showed that the number of deregulated biofunctions and pathways is higher after acute exposure, compared to the chronic one. It also revealed specific profiles of altered gene expression in all treatments, pointing to stress response/mitochondrial pathways as major players of environmental toxicity. Of note, dysfunction of steroid hormones was also predicted by bioinformatic analysis and verified in both models by traditional approaches, serum estrogens measurement and vitellogenin mRNA determination in mice and zebrafish, respectively. Conclusions: In our report, phenotypic anchoring in two vertebrate model organisms highlights the toxicity of low-grade pollution, with varying susceptibility based on exposure window. The overlay of zebrafish and mice deregulated pathways, more than single genes, is useful in risk identification from chemicals implicated in the observed effects. [ABSTRACT FROM AUTHOR]

The generation of pancreatic endocrine and exocrine functional precursors from embryonic stem cells (ESCs) is an intriguing opportunity to address cell therapy challenges. The main goal of cellular regeneration is to derive, in vitro, pancreatic progenitor cells (PPCs) that retain the capacity to differentiate following the in vivo developmental ontogeny. In our work, we aim to refine the pancreatic in vitro cellular transitions, through the identification of the intrinsic factors that mark the pancreas budding process at embryonic stage 10.5 (E10.5), in which pancreas precursor specification predominantly occurs. We identified a cohort of genes ( Bex1, Nepn, Pcbd1, Prdxdd1, Rnf160, Slc2a1, and Tff3) that marked the pancreas budding genesis, and above all signaled ESC differentiation transitions during pancreatic lineage commitment. Noticeably, we demonstrated that the expression of Nepn marked a naïve pancreatic cellular state that resembled PPC- like specification. Our data considerably improve the comprehension of pancreatic cellular ontogeny, which could be critical for implementing pluripotent stem cells programming and reprogramming toward pancreatic lineage commitment. [ABSTRACT FROM AUTHOR]

Pancreatic organogenesis is a multistep process that requires the cooperation of several signaling pathways. In this context, the role of pancreatic mesenchyme is important to define the epithelium development; nevertheless, the precise space–temporal signaling activation still needs to be clarified. This study reports a dissection of the pancreatic embryogenesis, highlighting the molecular network surrounding the epithelium–mesenchyme interaction. To investigate this crosstalk, pancreatic epithelium and surrounding mesenchyme, at embryonic day 10.5, were collected through laser capture microdissection (LCM) and characterized based on their global gene expression. We performed a bioinformatic analysis to hypothesize crosstalk interactions, validating the most promising genes and verifying the precise localization of their expression in the compartments, by RNA in situ hybridization (ISH). Our analyses pointed out also the c-Met gene, a very well-known factor involved in stimulating motility, morphogenesis, and organ regeneration. We also highlighted the potential crosstalk between Versican (Vcan) and Syndecan4 (Sdc4) since these genes are involved in pancreatic tissue repair, strengthening the concept that the same signaling pathways required during pancreatic embryogenesis are also involved in tissue repair. This finding leads to novel strategies for obtaining functional pancreatic stem cells for cell replacement therapies. [ABSTRACT FROM AUTHOR]

In vitro Omics analysis (i.e. transcriptome) is suggested to predict in vivo toxicity and adverse effects in humans, although the causal link between high-throughput data and effects in vivo is not easily established. Indeed, the chemical-organism interaction can involve processes, such as adaptation, not established in cell cultures. Starting from this consideration we investigate the transcriptomic response of immortalized thyrocytes to ethylenthiourea and chlorpyrifos. In vitro data revealed specific and common genes/mechanisms of toxicity, controlling the proliferation/survival of the thyrocytes and unrelated hematopoietic cell lineages. These results were phenotypically confirmed in vivo by the reduction of circulating T4 hormone and the development of pancytopenia after long exposure. Our data imply that in vitro toxicogenomics is a powerful tool in predicting adverse effects in vivo, experimentally confirming the vision described as Tox21c (Toxicity Testing in the 21st century) although not fully recapitulating the biocomplexity of a living animal. [ABSTRACT FROM AUTHOR]

Activation of dual-specificity tyrosine-phosphorylation-regulated kinases 1A and 1B (DYRK1A and DYRK1B) requires prolyl hydroxylation by PHD1 prolyl hydroxylase. Prolyl hydroxylation of DYRK1 initiates a cascade of events leading to the release of molecular constraints on von Hippel-Lindau (VHL) ubiquitin ligase tumor suppressor function. However, the proline residue of DYRK1 targeted by hydroxylation and the role of prolyl hydroxylation in tyrosine autophosphorylation of DYRK1 are unknown. We found that a highly conserved proline in the CMGC insert of the DYRK1 kinase domain is hydroxylated by PHD1, and this event precedes tyrosine autophosphorylation. Mutation of the hydroxylation acceptor proline precludes tyrosine autophosphorylation and folding of DYRK1, resulting in a kinase unable to preserve VHL function and lacking glioma suppression activity. The consensus proline sequence is shared by most CMGC kinases, and prolyl hydroxylation is essential for catalytic activation. Thus, formation of prolyl-hydroxylated intermediates is a novel mechanism of kinase maturation and likely a general mechanism of regulation of CMGC kinases in eukaryotes. • A conserved proline is hydroxylated by PHD enzymes in CMGC kinases • Proline hydroxylation is essential for tyrosine autophosphorylation • Loss of proline hydroxylation or PHD inhibition impairs kinase function • Hydroxylation of proline 332 on the CMGC kinase DYRK1 regulates VHL activity Proline hydroxylation activates DYRK1, which belongs to the CMGC family of protein kinases. Lee et al. identified a highly conserved proline in the kinase domain of CMGC kinases that is hydroxylated by the PHD1 prolyl hydroxylase. Formation of the prolyl-hydroxylated intermediate triggers tyrosine autophosphorylation and kinase activation. [ABSTRACT FROM AUTHOR]