An exploratory double-blind, randomized clinical trial with selisistat, a SirT1 inhibitor, in patients with Huntington's disease.

AIMS: Selisistat, a selective SirT1 inhibitor is being developed as a potentially disease-modifying therapeutic for Huntington's disease (HD). This was the first study of selisistat in HD patients and was primarily aimed at development of pharmacodynamic biomarkers. METHODS: This was a randomized, double-blind, placebo-controlled, multicentre exploratory study. Fifty-five male and female patients in early stage HD were randomized to receive 10 mg or 100 mg of selisistat or placebo once daily for 14 days. Blood sampling, clinical and safety assessments were conducted throughout the study. Candidate pharmacodynamic markers included circulating soluble huntingtin and innate immune markers. RESULTS: Selisistat was found to be safe and well tolerated, and systemic exposure parameters showed that the average steady-state plasma concentration achieved at the 10 mg dose level (125 nm) was comparable with the IC50 for SirT1 inhibition. No adverse effects on motor, cognitive or functional readouts were recorded. While circulating levels of soluble huntingtin were not affected by selisistat in this study, the biological samples collected have allowed development of assay technology for use in future studies. No effects on innate immune markers were seen. CONCLUSIONS: Selisistat was found to be safe and well tolerated in early stage HD patients at plasma concentrations within the anticipated therapeutic concentration range.

Potential benefits of slow titration of paroxetine treatment in an elderly population: eight-week results from a naturalistic setting.

BACKGROUND: Late-life depression, often in association with anxiety, affects approximately 15% of individuals older than 65 years. Selective serotonin reuptake inhibitors are the first-line treatment but could be responsible of an early exacerbation of anxiety, possibly reduced by a very gradual titration of drugs. The main aim of this study is to compare gradual and rapid (standard) titration of paroxetine in an elderly population. METHODS: In a naturalistic setting, 50 elderly (≥60 years old) outpatients with unipolar mood disorder or anxiety disorder were naturalistically assigned to abrupt initiation of 10 mg of paroxetine or to a gradual increase with 2.5 mg on alternate days up to 10 mg in 7 days. Then dosage could be maintained at 10 mg or increased according to clinical response. Primary outcome was efficacy as assessed by the Hamilton Depression Rating Scale (HAM-D) 21, HAM-D symptom subscales (core, psychic anxiety, somatic anxiety cluster), and Hamilton Anxiety Rating Scale changes. Secondary outcome was evaluation of overall dropouts at eighth week and evaluation of most common adverse effects through the global judgment of the Dosage Record and Treatment Emergent Symptom Scale. All data were recorded weekly for the first 8 weeks of treatment (with 1 more evaluation after 3 days from the baseline). RESULTS: Samples were comparable at baseline, with patients in gradual titration showing a higher level of psychic anxiety. During the first 3 days of treatment, a significant worsening in psychic anxiety was observed in patients treated abruptly with 10 mg of paroxetine (difference in HAM-D psychic anxiety subscale from baseline: 110.61% vs 89.38% with rapid and slow titration, respectively; t test P = 0.03). Overall, a significantly greater improvement in depressive and anxious symptoms favored gradual titration (HAM-D core cluster and HAM-D psychic anxiety cluster, respectively, P = 0.014 and P < 0.001, also when controlling for confounders). At the eighth week, significant higher dropouts in patients administered with abrupt dosage was observed (12.00% vs 40.91%, P = 0.02, respectively for slow and rapid titration). CONCLUSIONS: Our results suggest that a gradual titration of paroxetine could avoid the initial treatment anxiety worsening and dropout at the beginning of the treatment.

Linguistic profile automated characterisation in pluripotential clinical high-risk mental state (CHARMS) conditions: methodology of a multicentre observational study.

INTRODUCTION: Language is usually considered the social vehicle of thought in intersubjective communications. However, the relationship between language and high-order cognition seems to evade this canonical and unidirectional description (ie, the notion of language as a simple means of thought communication). In recent years, clinical high at-risk mental state (CHARMS) criteria (evolved from the Ultra-High-Risk paradigm) and the introduction of the Clinical Staging system have been proposed to address the dynamicity of early psychopathology. At the same time, natural language processing (NLP) techniques have greatly evolved and have been successfully applied to investigate different neuropsychiatric conditions. The combination of at-risk mental state paradigm, clinical staging system and automated NLP methods, the latter applied on spoken language transcripts, could represent a useful and convenient approach to the problem of early psychopathological distress within a transdiagnostic risk paradigm. METHODS AND ANALYSIS: Help-seeking young people presenting psychological distress (CHARMS+/- and Clinical Stage 1a or 1b; target sample size for both groups n=90) will be assessed through several psychometric tools and multiple speech analyses during an observational period of 1-year, in the context of an Italian multicentric study. Subjects will be enrolled in different contexts: Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa-IRCCS Ospedale Policlinico San Martino, Genoa, Italy; Mental Health Department-territorial mental services (ASL 3-Genoa), Genoa, Italy; and Mental Health Department-territorial mental services (AUSL-Piacenza), Piacenza, Italy. The conversion rate to full-blown psychopathology (CS 2) will be evaluated over 2 years of clinical observation, to further confirm the predictive and discriminative value of CHARMS criteria and to verify the possibility of enriching them with several linguistic features, derived from a fine-grained automated linguistic analysis of speech. ETHICS AND DISSEMINATION: The methodology described in this study adheres to ethical principles as formulated in the Declaration of Helsinki and is compatible with International Conference on Harmonization (ICH)-good clinical practice. The research protocol was reviewed and approved by two different ethics committees (CER Liguria approval code: 591/2020-id.10993; Comitato Etico dell'Area Vasta Emilia Nord approval code: 2022/0071963). Participants will provide their written informed consent prior to study enrolment and parental consent will be needed in the case of participants aged less than 18 years old. Experimental results will be carefully shared through publication in peer-reviewed journals, to ensure proper data reproducibility. TRIAL REGISTRATION NUMBER: DOI:10.17605/OSF.IO/BQZTN.

In vitro and in vivo characterization of a novel Hedgehog signaling antagonist in human glioblastoma cell lines.

Glioblastoma multiforme (GBM) is composed of heterogeneous and genetically different cells, which are highly invasive and motile. The standard chemotherapeutic agent, temozolomide, affects GBM cell proliferation but is generally unable to prevent tumor recurrence. Hedgehog pathway activation has been reported to be relevant in GBM and different pharmacological pathway modulators have been identified. We report that by growing a commercially available recurrent GBM cell line (DBTRG-05MG) without serum and in the presence of defined growth factors; we obtained a less differentiated cell population, growing in suspension as neurospheres, in which the Hedgehog pathway is activated. Furthermore, the expression profile of Hedgehog pathway components found in DBTRG-05MG neurospheres is similar to primary stem-like cells derived from recurrent GBM patients. We report the effect of our novel specific Smoothened receptor antagonist (SEN450) on neurosphere growing cells and compared its effect to that of well known benchmark compounds. Finally, we showed that SEN450 is both antiproliferative on its own and further reduces tumor volume after temozolomide pretreatment in a mouse xenograft model using DBTRG-05MG neurosphere cells. Altogether our data indicate that the Hedgehog pathway is not irreversibly switched off in adherent cells but can be reactivated when exposed to well-defined culture conditions, thus restoring the condition observed in primary tumor-derived material, and that pharmacological modulation of this pathway can have profound influences on tumor proliferation. Therefore, pharmacological inhibition of the Hedgehog pathway is a potentially useful therapeutic approach in GBM.

Local governments' communication through Facebook. Evidences from COVID-19 pandemic in Italy.

The study aims at demonstrating how social communication has changed in terms of flows and content in the different phases of the COVID-19 pandemic to get to the fact that public administrations have embarked on a path of rapprochement with the citizen that starts from the methods of communication and interaction. This article presents an exploratory and multidisciplinary study conducted through the analysis of the Facebook page of the Italian municipalities with the highest Covid19-induced mortality rates (Piacenza, Bergamo, Lodi, Cremona, Brescia, Pavia, Parma, Mantova, Alessandria, Lecco and Sondrio). Fanpage Karma has been used to conduct the investigation and get the analytics. Local governments are implementing a process of gradual approach to the needs of the citizen and learning new ways of communication. In the conclusion of our study - conducted at the time of the pandemic - we can affirm that local governments are in an early stage of the process both for the acquisition of skills for social communication and for the definition of a communication strategy to strengthen their social identity aware of the fact that the agile and lean communication makes the citizen much more informed and involved in city life than traditional communication. This paper analyses a social network like Facebook as a not common tool for local government's communication in a period of severe emergency. A multidisciplinary approach is adopted as a distinctive factor. The focus is on the contribution of social communication on citizens' engagement.

Guided walking reduces blood pressure in hypertensive sedentary subjects including those with resistant hypertension.

Hypertension poorly responsive to medications is defined resistant hypertension. We have previously shown that 1-year of guided walking is followed by highly significant reduction of systolic blood pressure in hypertensive subjects. Aim of this study was to assess the effect of a 1-year of guided walking on the blood pressure of sedentary hypertensive subjects including patients with resistant hypertension. Two hundred and fifty-nine sedentary subjects with systolic pressure ≥130 mmHg were subdivided in a group without blood pressure medications and in a group taking three or more antihypertensive drugs, including diuretics. Blood pressure, body weight, body mass index, waist circumference, and walking speed were determined at enrollment and after 1-year of walking, supervised by exercise physiologists. At baseline, systolic pressure was significantly higher in the subjects under therapy (144.6 ± 12.2 vs. 140.2 ± 10.7). Two hundred and three subjects (124 without and 79 with therapy) completed the program. During the 1-year program each subject walked ~220 h. After 1-year a significant decrease (P < 0.0001) of systolic pressure was observed in both groups. The decrease was significantly higher (P < 0.0001) in the subjects under therapy. The decrease of systolic pressure was directly proportional to baseline values. Diastolic blood pressure decreased significantly in both groups. In conclusion, habitual walking may lead to clinically significant reductions of blood pressure in therapy resistant hypertensive subjects.

The socio-economical burden of schizophrenia: a simulation of cost-offset of early intervention program in Italy.

Schizophrenia is associated with a high familiar, social and economic burden. During the recent years early and specific intervention for first psychotic episodes has been suggested to improve the long term outcome of the disease. Despite the promising results obtained so far, early intervention is still scarcely applied. One major problem arises from the translation of research findings into stakeholder policies. In fact very few analyses of cost reductions obtained with early intervention have been reported. In the present paper we present a simulation of direct cost reduction that can be obtained with early intervention programmes. We based our analysis on available data about schizophrenia care costs in Italy and the expected cost reduction with the use of early intervention. We observed that the increase in costs due to the more intensive early intervention is largely compensated by the reduction of inpatient admissions with a reduction of direct costs of 6.01%. Despite the apparently small economic gain, early intervention offers more clinical and social benefits as it seems to be effective also in decreasing relapse rates, in improving the patients' quality of life and disability associated with psychosis and in increasing employment rates. Those indirect costs however are difficult to estimate and were not included in our model. In conclusion, our study supports the use of early intervention in schizophrenia, which could allow an outcome improvement with lower direct and indirect costs.

PARPST: a PARallel algorithm to find peptide sequence tags.

BACKGROUND: Protein identification is one of the most challenging problems in proteomics. Tandem mass spectrometry provides an important tool to handle the protein identification problem. RESULTS: We developed a work-efficient parallel algorithm for the peptide sequence tag problem. The algorithm runs on the concurrent-read, exclusive-write PRAM in O(n) time using log n processors, where n is the number of mass peaks in the spectrum. The algorithm is able to find all the sequence tags having score greater than a parameter or all the sequence tags of maximum length. Our tests on 1507 spectra in the Open Proteomics Database shown that our algorithm is efficient and effective since achieves comparable results to other methods. CONCLUSIONS: The proposed algorithm can be used to speed up the database searching or to identify post-translational modifications, comparing the homology of the sequence tags found with the sequences in the biological database.

Walking and hypertension: greater reductions in subjects with higher baseline systolic blood pressure following six months of guided walking.

BACKGROUND: The aim of the study was to assess the effects of walking on the blood pressure in sedentary adults with differing degrees of systolic blood pressure (SBP). METHODS: A total of 529 subjects with SBP above 120 mmHg were enrolled. Blood pressure, body weight, body mass index, waist circumference and walking speed were determined at enrolment and after six months. Walking sessions were supervised by exercise physiologists. RESULTS: The weekly walking time of the subjects completing the project was uniform and reached 300 minutes by the second month. 56% of participants completed the 6 months intervention (182 women 59.6 ± 9.0 years, and 114 men, 65.4 ± 8.6 years) 27 had a baseline SBP >160 mm Hg, 35 between 150-159, 70 between 140-149, 89 between 130-139 and 75 between 120-129 mmHg. Following six months of supervised walking, SBP was significantly reduced in all subgroups (p < 0.001), with the greatest reduction (-21.3 mmHg) occurring in subjects with baseline SBP >160 and the smallest reduction (-2.6 mmHg) occurring in subjects with baseline SBP of 120-129 mmHg. Diastolic blood pressure, body weight, body mass index and waist circumference were also significantly reduced following the walking intervention (p < 0.001). These reductions were nearly identical within the various groups. DISCUSSION: In a large group of sedentary adults with varying degrees of SBP, 6 months of supervised walking elicited a marked reduction in systolic blood pressure with the largest reductions in pressure occurring in individuals with higher baseline SBP.

Human Sarcoma growth is sensitive to small-molecule mediated AXIN stabilization.

Sarcomas are mesenchymal tumors showing high molecular heterogeneity, reflected at the histological level by the existence of more than fifty different subtypes. Genetic and epigenetic evidences link aberrant activation of the Wnt signaling to growth and progression of human sarcomas. This phenomenon, mainly accomplished by autocrine loop activity, is sustained by gene amplification, over-expression of Wnt ligands and co-receptors or epigenetic silencing of endogenous Wnt antagonists. We previously showed that pharmacological inhibition of Wnt signaling mediated by Axin stabilization produced in vitro and in vivo antitumor activity in glioblastoma tumors. Here, we report that targeting different sarcoma cell lines with the Wnt inhibitor/Axin stabilizer SEN461 produces a less transformed phenotype, as supported by modulation of anchorage-independent growth in vitro. At the molecular level, SEN461 treatment enhanced the stability of the scaffold protein Axin1, a key negative regulator of the Wnt signaling with tumor suppressor function, resulting in downstream effects coherent with inhibition of canonical Wnt signaling. Genetic phenocopy of small molecule Axin stabilization, through Axin1 over-expression, coherently resulted in strong impairment of soft-agar growth. Importantly, sarcoma growth inhibition through pharmacological Axin stabilization was also observed in a xenograft model in vivo in female CD-1 nude mice. Our findings suggest the usefulness of Wnt inhibitors with Axin stabilization activity as a potentialyl clinical relevant strategy for certain types of sarcomas.

Whole gene expression profile in blood reveals multiple pathways deregulation in R6/2 mouse model.

BACKGROUND: Huntington Disease (HD) is a progressive neurological disorder, with pathological manifestations in brain areas and in periphery caused by the ubiquitous expression of mutant Huntingtin protein. Transcriptional dysregulation is considered a key molecular mechanism responsible of HD pathogenesis but, although numerous studies investigated mRNA alterations in HD, so far none evaluated a whole gene expression profile in blood of R6/2 mouse model. FINDINGS: To discover novel pathogenic mechanisms and potential peripheral biomarkers useful to monitor disease progression or drug efficacy, a microarray study was performed in blood of R6/2 at manifest stage and wild type littermate mice. This approach allowed to propose new peripheral molecular processes involved in HD and to suggest different panels of candidate biomarkers. Among the discovered deregulated processes, we focused on specific ones: complement and coagulation cascades, PPAR signaling, cardiac muscle contraction, and dilated cardiomyopathy pathways. Selected genes derived from these pathways were additionally investigated in other accessible tissues to validate these matrices as source of biomarkers, and in brain, to link central and peripheral disease manifestations. CONCLUSIONS: Our findings validated the skeletal muscle as suitable source to investigate peripheral transcriptional alterations in HD and supported the hypothesis that immunological alteration may contribute to neurological degeneration. Moreover, the identification of altered signaling in mouse blood enforce R6/2 transgenic mouse as a powerful HD model while suggesting novel disease biomarkers for pre-clinical investigation.

Reference genes selection for transcriptional profiling in blood of HD patients and R6/2 mice.

BACKGROUND: Huntington's disease is a neurodegenerative disorder characterized by transcriptional alterations both in central and peripheral tissues. Therefore, the identification of a transcriptional signature in an accessible tissue can meaningfully complement current efforts in clinical biomarker development. Gene expression normalization represents an essential step in transcriptional signatures identification, and since many reference genes show altered expressions in several pathologies, the definition of stable genes in the desired tissue is required to allow correct result interpretations. OBJECTIVE: The present work aimed at identifying a set of suitable reference genes for expression normalization in blood of HD patients and R6/2 mice. METHODS: By crossing literature investigation and analysis of microarrays performed on blood of HD patients and healthy subjects, a set of genes was selected and tested by RT-qPCR. Employment of statistical algorithms allowed the identification of the most stable genes in human samples that were than confirmed in R6/2. RESULTS: PPIB, PGK1, ACTB and YWHAZ represent the best possible genes combination, useful to normalize blood transcriptional analysis. To link clinical and preclinical studies, the identified genes were investigated also in blood of R6/2 and wild type mice, confirming that Ppib, Actb and Ywhaz were appropriate for expression normalization. Selected references were subsequently applied to evaluate expression of genes known to be involved in Huntington's pathological progression. CONCLUSIONS: This work highlights the importance for correct data normalization to avoid misinterpretation of results, while providing a suitable method to support quantitative gene expression analysis in preclinical and clinical investigations.

A radial glia gene marker, fatty acid binding protein 7 (FABP7), is involved in proliferation and invasion of glioblastoma cells.

Glioblastoma multiforme (GBM) is among the most deadly cancers. A number of studies suggest that a fraction of tumor cells with stem cell features (Glioma Stem-like Cells, GSC) might be responsible for GBM recurrence and aggressiveness. GSC similarly to normal neural stem cells, can form neurospheres (NS) in vitro, and seem to mirror the genetic features of the original tumor better than glioma cells growing adherently in the presence of serum. Using cDNA microarray analysis we identified a number of relevant genes for glioma biology that are differentially expressed in adherent cells and neurospheres derived from the same tumor. Fatty acid-binding protein 7 (FABP7) was identified as one of the most highly expressed genes in NS compared to their adherent counterpart. We found that down-regulation of FABP7 expression in NS by small interfering RNAs significantly reduced cell proliferation and migration. We also evaluated the potential involvement of FABP7 in response to radiotherapy, as this treatment may cause increased tumor infiltration. Migration of irradiated NS was associated to increased expression of FABP7. In agreement with this, in vivo reduced tumorigenicity of GBM cells with down-regulated expression of FABP7 was associated to decreased expression of the migration marker doublecortin. Notably, we observed that PPAR antagonists affect FABP7 expression and decrease the migration capability of NS after irradiation. As a whole, the data emphasize the role of FABP7 expression in GBM migration and provide translational hints on the timing of treatment with anti-FABP7 agents like PPAR antagonists during GBM evolution.

A homogeneous HTRF assay for the identification of inhibitors of the TWEAK-Fn14 protein interaction.

The TWEAK-Fn14 pathway is upregulated in models of inflammation, autoimmune diseases, and cancer. Both TWEAK and Fn14 show increased expression also in the CNS in response to different stimuli, particularly astrocytes, microglia, and neurons, leading to activation of NF-κB and release of proinflammatory cytokines. Although neutralizing antibodies against these proteins have been shown to have therapeutic efficacy in animal models of inflammation, no small-molecule therapeutics are yet available. Here, we describe the development of a novel homogeneous time-resolved fluorescence (HTRF)-based screening assay together with several counterassays for the identification of small-molecule inhibitors of this protein-protein interaction. Recombinant HIS-TWEAK and Fn14-Fc proteins as well as FLAG-TWEAK and Fn14-FLAG proteins and an anti-Fn14 antibody were used to establish and validate these assays and to screen a library of 60 000 compounds. Two HTRF counterassays with unrelated proteins in the same assay format, an antiaggregation assay and a redox assay, were applied to filter out potential false-positive compounds. The novel assay and associated screening cascade should be useful for the discovery of small-molecule inhibitors of the TWEAK-Fn14 protein interaction.

ß-catenin and Gli1 are prognostic markers in glioblastoma.

Glioblastomas (GBMs), the most common primary malignancies of the central nervous system, are highly aggressive and heterogeneous, and remain a dramatic therapeutic challenge. Markers mirroring the complex molecular profile of GBMs that are predictive of patient outcomes are needed to define novel multi-targeted treatment strategies. Resistance to current GBM therapies is partly due to a subpopulation of stem-like and other self-renewing cells (hereafter called glioma stem-like cancer cells, GSCC), which are therefore of key interest as therapeutic entry points. Wnt and Hedgehog are among the main pathways involved in GSCC renewal. ß-catenin and Gli1 are markers of Wnt and Hedgehog activation respectively and both pathways are known to be altered in gliomas. To date, there are no investigations of Gli1 protein expression in GBM tissue, and recently a high expression of ß-catenin has been found to have a poor prognostic impact in GBM patients in a study. We have therefore quantified the positivity for ß-catenin, Gli1, as well as Ki-67, p53, and EGFR proteins on immunohistochemically-stained GBM sections from 106 patients in an investigation for potential predictive biomarkers. Correlation between these markers and survival was evaluated by pair-wise Pearson correlation coefficient and by bi-dimensional hierarchical clustering, followed by survival estimations using linear regression models and classification trees. We demonstrated that both ß-catenin and, for the first time, Gli1 proteins are highly predictive markers of short survival, being found in 75 and 90% of the highly predictive trees, respectively, whereas Ki-67, p53 and EGFR were under 30% and thus, not considered as predictive. Our results indicate a role of ß-catenin and Gli1 in GBM malignant behaviour, and suggest that inhibiting members of Wnt and Hedgehog pathways could be a valuable therapeutic strategy for GBM patients.