123 research outputs found

    The Molecular and Cellular Basis of Tumor Rejection After Vaccination With Mammary Adenocarcinoma Cells Transduced With the MHC Class II Transactivator CIITA

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    CD8+ T cell responses are major players of tumor eradication in various vaccination protocols. However, an optimal stimulation of CD4+ T helper cells is required for both priming and maintenance of the effector CTL response against the tumor. In this study we show that the murine mammary adenocarcinoma cell line TS/A, a highly malignant MHC-II-negative tumor, is rejected in vivo if genetically engineered to express MHC-II molecules by transfer of the MHC-II transactivator CIITA. TS/ACIITA cells are fully rejected by 93% of the syngeneic recipients and have a significantly lower growth rate in the remaining 7% of animals. Rejection requires CD4+ and CD8+ cells. CD4+ T cells are fundamental in the priming phase, whereas CTLs are the major anti-tumor effectors. All tumor rejecting animals are protected against rechallenge with the parental TS/A tumor. Immunohistochemical data at day 5 post-inoculation showed an higher infiltrate of CD4+ T cells in mice bearing TS/A-CIITA, than in mice bearing the TS/A tumor. Subsequently, from day 7 trough day 10, TS/A-CIITA tumors showed higher number of both CD4+ and CD8+ cells, dendritic cells, together with massive necrosis. The frequency of IFN-αsecreting splenocytes early after inoculations was also assessed by an ex vivo ELISPOT assay. Only the rejecting TS/A-CIITA animals showed an high frequency of IFN-αsecreting cells (between 80 and 120/106 splenocytes). Importantly, CD4 and CD8 depletion experiments revealed that at the time of tumor resolution the major cell population recognizing the TS/A-CIITA cells was of CD4 origin. This is the first example of successful tumor vaccination by genetic transfer of CIITA. These results open the way to a possible use of CIITA for increasing both the inducing and the effector phase of the anti-tumor response. from 2005 International Meeting of The Institute of Human Virology Baltimore, USA, 29 August – 2 September 200

    Low circulating levels of miR-17 and miR-126-3p are associated with increased mortality risk in geriatric hospitalized patients affected by cardiovascular multimorbidity

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    : MultiMorbidity (MM), defined as the co-occurrence of two or more chronic conditions, is associated with poorer health outcomes, such as recurrent hospital readmission and mortality. As a group of conditions, cardiovascular disease (CVD) exemplifies several challenges of MM, and the identification of prognostic minimally invasive biomarkers to stratify mortality risk in patients affected by cardiovascular MM is a huge challenge. Circulating miRNAs associated to inflammaging and endothelial dysfunction, such as miR-17, miR-21-5p, and miR-126-3p, are expected to have prognostic relevance. We analyzed a composite profile of circulating biomarkers, including miR-17, miR-21-5p, and miR-126-3p, and routine laboratory biomarkers in a sample of 246 hospitalized geriatric patients selected for cardiovascular MM from the Report-AGE INRCA database and BioGER INRCA biobank, to evaluate the association with all-cause mortality during 31 days and 12 and 24 months follow-up. Circulating levels of miR-17, miR-126-3p, and some blood parameters, including neutrophil to lymphocyte ratio (NLR) and eGFR, were significantly associated with mortality in these patients. Overall, our results suggest that in a cohort of geriatric hospitalized patients affected by cardiovascular MM, lower circulating miR-17 and miR-126-3p levels could contribute to identify patients at higher risk of short- and medium-term mortality

    The prognostic value of peripheral blood inflammatory indices early variation in patients (pts) with metastatic renal cell carcinoma (mRCC) treated with nivolumab (Δ-Meet-URO analysis)

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    Background: Immunotherapy has improved the treatment landscape of mRCC pts and identifying biomarkers for patients’ selection is clinically needed. Inflammatory indices from peripheral blood showed a prognostic value in different tumors and therapies, including immunotherapy. These biomarkers are inexpensive and readily available in clinical practice. We aimed to assess the prognostic role of the dynamic evaluation of these indices in immunotherapy-naïve pretreated mRCC pts. Methods: The Meet-URO 15 multicentric retrospective study enrolled 571 pretreated mRCC pts receiving nivolumab. The Δ-Meet-URO was a secondary analysis on the early variation through the first four cycles of therapy compared with baseline (difference, delta - Δ) of white blood cells, platelets and inflammatory indices, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII, platelets x NLR), their comparison with baseline values and correlation with treatment response, overall (OS) and progression-free survival (PFS). The baseline and Δ cut-offs were identified by ROC curves for OS. Results: The analysis was performed on 422 mRCC pts (74% of the entire cohort). Patients with ΔNeutrophils < 730 at 2nd, 3rd and 4th cycles were more responders (p < 0.001, p = 0.003 and p < 0.001) with longer mPFS (11 vs 6.1 months, p = 0.033) and mOS (46.9 vs 20.8 months, p = 0.046) compared to ΔNeutrophils ≥ 730. There was a significant interaction between baseline and ΔNeutrophils on PFS (p = 0.047). Pts with baseline neutrophils ≥ 4330/mm3 had longer mPFS when ΔNeutrophils < 730 (p = 0.002), whilst no difference was observed in those pts with baseline neutrophils < 4330/mm3 according to ΔNeutrophils (p = 0.46). Similar non-significant trends were observed in mOS. Patients with ΔNLR < 0.5 at 3rd and 4th cycles were more responders (p = 0.004 and p = 0.001, respectively) with doubled mPFS (12.1 vs 6.4 months, p = 0.007) and mOS (46.9 vs 21.7 months, p = 0.062) compared to ΔNLR ≥ 0.5. No significant interaction between baseline NLR and ΔNLR was observed in PFS and OS, suggesting a similar association between ΔNLR and PFS or OS, regardless of the baseline NLR cut-off of 3.2. The multivariable analyses confirmed all these results. Conclusions: The early assessment of NLR and neutrophils variations during immunotherapy for mRCC pts is a promising, affordable and non-invasive prognostic tool. Prospective and external validation analyses are warranted

    Sensitivity and specificity of in vivo COVID-19 screening by detection dogs: Results of the C19-Screendog multicenter study

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    Trained dogs can recognize the volatile organic compounds contained in biological samples of patients with COVID-19 infection. We assessed the sensitivity and specificity of in vivo SARS-CoV- 2 screening by trained dogs. We recruited five dog-handler dyads. In the operant conditioning phase, the dogs were taught to distinguish between positive and negative sweat samples collected from volunteers’ underarms in polymeric tubes. The conditioning was validated by tests involving 16 positive and 48 negative samples held or worn in such a way that the samples were invisible to the dog and handler. In the screening phase the dogs were led by their handlers to a drive-through facility for in vivo screening of volunteers who had just received a nasopharyngeal swab from nursing staff. Each volunteer who had already swabbed was subsequently tested by two dogs, whose responses were recorded as positive, negative, or inconclusive. The dogs’ behavior was constantly monitored for attentiveness and wellbeing. All the dogs passed the conditioning phase, their responses showing a sensitivity of 83-100% and a specificity of 94-100%. The in vivo screening phase involved 1251 subjects, of whom 205 had a COVID-19 positive swab and two dogs per each subject to be screened. Screeningsensitivity and specificity were respectively 91.6-97.6% and 96.3-100% when only one dog was involved, whereas combined screening by two dogs provided a higher sensitivity. Dog wellbeing was also analysed: monitoring of stress and fatigue suggested that the screening activity did not adversely impact the dogs’ wellbeing. This work, by screening a large number of subjects, strengthen recent findings that trained dogs can discriminate between COVID-19 infected and healthy human subjects and introduce two novel research aspects: i) assessement of signs of fatigue and stress in dogs during training and testing, and ii) combining screening by two dogs to improve detection sensitivity and specificity. Using some precautions to reduce the risk of infection and spillover, in vivo COVID-19 screening by a dog-handler dyad can be suitable to quickly screen large numbers of people: it is rapid, non- invasiveand economical, since it does not involve actual sampling, lab resources or waste management, and is suitable to screen large numbers of people

    Circulating miR-320b and miR-483-5p levels are associated with COVID-19 in-hospital mortality

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    none28noThe stratification of mortality risk in COVID-19 patients remains extremely challenging for physicians, especially in older patients. Innovative minimally invasive molecular biomarkers are needed to improve the prediction of mortality risk and better customize patient management. In this study, aimed at identifying circulating miRNAs associated with the risk of COVID-19 in-hospital mortality, we analyzed serum samples of 12 COVID-19 patients by small RNA-seq and validated the findings in an independent cohort of 116 COVID-19 patients by qRT-PCR. Thirty-four significantly deregulated miRNAs, 25 downregulated and 9 upregulated in deceased COVID-19 patients compared to survivors, were identified in the discovery cohort. Based on the highest fold-changes and on the highest expression levels, 5 of these 34 miRNAs were selected for the analysis in the validation cohort. MiR-320b and miR-483-5p were confirmed to be significantly hyper-expressed in deceased patients compared to survived ones. Kaplan-Meier and Cox regression models, adjusted for relevant confounders, confirmed that patients with the 20% highest miR-320b and miR-483-5p serum levels had three-fold increased risk to die during in-hospital stay for COVID-19. In conclusion, high levels of circulating miR-320b and miR-483-5p can be useful as minimally invasive biomarkers to stratify older COVID-19 patients with an increased risk of in-hospital mortality.restrictedGiuliani, Angelica; Matacchione, Giulia; Ramini, Deborah; Di Rosa, Mirko; Bonfigli, Anna Rita; Sabbatinelli, Jacopo; Monsurrò, Vladia; Recchioni, Rina; Marcheselli, Fiorella; Marchegiani, Francesca; Piacenza, Francesco; Cardelli, Maurizio; Galeazzi, Roberta; Pomponio, Giovanni; Ferrarini, Alessia; Gabrielli, Armando; Baroni, Silvia Svegliati; Moretti, Marco; Sarzani, Riccardo; Giordano, Piero; Cherubini, Antonio; Corsonello, Andrea; Antonicelli, Roberto; Procopio, Antonio Domenico; Ferracin, Manuela; Bonafè, Massimiliano; Lattanzio, Fabrizia; Olivieri, FabiolaGiuliani, Angelica; Matacchione, Giulia; Ramini, Deborah; Di Rosa, Mirko; Bonfigli, Anna Rita; Sabbatinelli, Jacopo; Monsurrò, Vladia; Recchioni, Rina; Marcheselli, Fiorella; Marchegiani, Francesca; Piacenza, Francesco; Cardelli, Maurizio; Galeazzi, Roberta; Pomponio, Giovanni; Ferrarini, Alessia; Gabrielli, Armando; Baroni, Silvia Svegliati; Moretti, Marco; Sarzani, Riccardo; Giordano, Piero; Cherubini, Antonio; Corsonello, Andrea; Antonicelli, Roberto; Procopio, Antonio Domenico; Ferracin, Manuela; Bonafè, Massimiliano; Lattanzio, Fabrizia; Olivieri, Fabiol

    Process-Tolerant High Linearity MMIC Power Amplifiers

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    The success of an MMIC design is strongly influenced by the process tolerances and model inaccuracies. In fact the MMIC technology is tuneless and all the problems related to the component tolerances must be taken into account in the design phase. This issue is even more relevant in high linearity power amplifiers. In this kind of devices many different parameters (P1dB, PAE, C/I) shall be simultaneously optimized, and, if not properly taken into account, process tolerances may affect the device performances, compromising the fulfillment of the desired requirements. In this paper the most relevant uncertainty sources and the factors influencing the process tolerances will be analyzed, giving the guidelines to keep under control the effect of process variation parameters and model inaccuracies
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