41 research outputs found

    GCN2 has inhibitory effect on human immunodeficiency virus-1 protein synthesis and is cleaved upon viral infection

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    The reversible phosphorylation of the alpha-subunit of eukaryotic translation initiation factor 2 (eIF2alpha) is a well-characterized mechanism of translational control in response to a wide variety of cellular stresses, including viral infection. Beside PKR, the eIF2alpha kinase GCN2 participates in the cellular response against viral infection by RNA viruses with central nervous system tropism. PKR has also been involved in the antiviral response against HIV-1, although this antiviral effect is very limited due to the distinct mechanisms evolved by the virus to counteract PKR action. Here we report that infection of human cells with HIV-1 conveys the proteolytic cleavage of GCN2 and that purified HIV-1 and HIV-2 proteases produce direct proteolysis of GCN2 in vitro, abrogating the activation of GCN2 by HIV-1 RNA. Transfection of distinct cell lines with a plasmid encoding an HIV-1 cDNA clone competent for a single round of replication resulted in the activation of GCN2 and the subsequent eIF2alpha phosphorylation. Moreover, transfection of GCN2 knockout cells or cells with low levels of phosphorylated eIF2alpha with the same HIV-1 cDNA clone resulted in a marked increase of HIV-1 protein synthesis. Also, the over-expression of GCN2 in cells led to a diminished viral protein synthesis. These findings suggest that viral RNA produced during HIV-1 infection activates GCN2 leading to inhibition of viral RNA translation, and that HIV-1 protease cleaves GCN2 to overcome its antiviral effect

    Prevalence of SARS-CoV-2 Infection at the University of Barcelona during the Third COVID-19 Pandemic Wave in Spain

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    The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic started in December 2019 and still is a major global health challenge. Lockdown measures and social distancing sparked a global shift towards online learning, which deeply impacted universities' daily life, and the University of Barcelona (UB) was not an exception. Accordingly, we aimed to determine the impact of the SARS-CoV-2 pandemic at the UB. To that end, we performed a cross-sectional study on a sample of 2784 UB members (n = 52,529). Participants answered a brief, ad hoc, online epidemiological questionnaire and provided a nasal swab for reverse transcription polymerase chain reaction (RT-PCR) SARS-CoV-2 analysis and a venous blood sample for SARS-CoV-2 IgG antibody assay. Total prevalence of SARS-CoV-2 infection (positive RT-PCR or positive IgG) was 14.9% (95%CI 13.3 to 17.0%). Forty-four participants (1.6%, 95%CI: 1.2-2.1%) were positive for SARS-CoV-2 RT-PCR. IgG against SARS-CoV-2 was observed in 12.8% (95%CI: 11.6-14.1%) of participants. Overall, while waiting for population vaccination and/or increased herd immunity, we should concentrate on identifying and isolating new cases and their contact

    Effects of highly active antiretroviral therapy with nelfinavir in vertically HIV-1 infected children: 3 years of follow-up. Long-term response to nelfinavir in children

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    BACKGROUND: Antiretroviral treatment (ART) in children has special features and consequently, results obtained from clinical trials with antiretroviral drugs in adults may not be representative of children. Nelfinavir (NFV) is an HIV-1 Protease Inhibitor (PI) which has become as one of the first choices of PI for ART in children. We studied during a 3-year follow-up period the effects of highly active antiretroviral therapy with nelfinavir in vertically HIV-1 infected children. METHODS: Forty-two vertically HIV-infected children on HAART with NFV were involved in a multicentre prospective study. The children were monitored at least every 3 months with physical examinations, and blood sample collection to measure viral load (VL) and CD4+ cell count. We performed a logistic regression analysis to determinate the odds ratio of baseline characteristics on therapeutic failure. RESULTS: Very important increase in CD4+ was observed and VL decreased quickly and it remained low during the follow-up study. Children with CD4+ <25% at baseline achieved CD4+ >25% at 9 months of follow-up. HIV-infected children who achieved undetectable viral load (uVL) were less than 40% in each visit during follow-up. Nevertheless, HIV-infected children with VL >5000 copies/ml were less than 50% during the follow-up study. Only baseline VL was an important factor to predict VL control during follow-up. Virological failure at defined end-point was confirmed in 30/42 patients. Along the whole of follow-up, 16/42 children stopped HAART with NFV. Baseline characteristics were not associated with therapeutic change. CONCLUSION: NFV is a safe drug with a good profile and able to achieve an adequate response in children

    Immunological predictors of CD4+ T cell decline in antiretroviral treatment interruptions

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    <p>Abstract</p> <p>Background</p> <p>The common response to stopping anti-HIV treatment is an increase of HIV-RNA load and decrease in CD4<sup>+</sup>, but not all the patients have similar responses to this therapeutic strategy. The aim was to identify predictive markers of CD4<sup>+ </sup>cell count declines to < 350/ÎŒL in CD4-guided antiretroviral treatment interruptions.</p> <p>Methods</p> <p>27 HIV-infected patients participated in a prospective multicenter study in with a 24 month follow-up. Patients on stable highly active antiretroviral therapy (HAART), with CD4<sup>+ </sup>count > 600/ÎŒL, and HIV-RNA < 50 copies/ml for at least 6 months were offered the option to discontinue antiretroviral therapy. The main outcome was a decline in CD4<sup>+ </sup>cell count to < 350/ÎŒL.</p> <p>Results</p> <p>After 24 months of follow-up, 16 of 27 (59%) patients (who discontinued therapy) experienced declines in CD4<sup>+ </sup>cell count to < 350/ÎŒL. Patients with a CD4<sup>+ </sup>nadir of < 200 cells/ÎŒL had a greater risk of restarting therapy during the follow-up (RR (CI95%): 3.37 (1.07; 10.36)). Interestingly, lymphoproliferative responses to <it>Mycobacterium tuberculosis </it>purified protein derivative (PPD) below 10000 c.p.m. at baseline (4.77 (1.07; 21.12)), IL-4 production above 100 pg/mL at baseline (5.95 (1.76; 20.07)) in PBMC cultured with PPD, and increased IL-4 production of PBMC with p24 antigen at baseline (1.25 (1.01; 1.55)) were associated to declines in CD4<sup>+ </sup>cell count to < 350/ÎŒL.</p> <p>Conclusion</p> <p>Both the number (CD4<sup>+ </sup>nadir) and the functional activity of CD4<sup>+ </sup>(lymphoproliferative response to PPD) predict the CD4<sup>+ </sup>decrease associated with discontinuation of ART in patients with controlled viremia.</p

    Treatment with tocilizumab or corticosteroids for COVID-19 patients with hyperinflammatory state: a multicentre cohort study (SAM-COVID-19)

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    Objectives: The objective of this study was to estimate the association between tocilizumab or corticosteroids and the risk of intubation or death in patients with coronavirus disease 19 (COVID-19) with a hyperinflammatory state according to clinical and laboratory parameters. Methods: A cohort study was performed in 60 Spanish hospitals including 778 patients with COVID-19 and clinical and laboratory data indicative of a hyperinflammatory state. Treatment was mainly with tocilizumab, an intermediate-high dose of corticosteroids (IHDC), a pulse dose of corticosteroids (PDC), combination therapy, or no treatment. Primary outcome was intubation or death; follow-up was 21 days. Propensity score-adjusted estimations using Cox regression (logistic regression if needed) were calculated. Propensity scores were used as confounders, matching variables and for the inverse probability of treatment weights (IPTWs). Results: In all, 88, 117, 78 and 151 patients treated with tocilizumab, IHDC, PDC, and combination therapy, respectively, were compared with 344 untreated patients. The primary endpoint occurred in 10 (11.4%), 27 (23.1%), 12 (15.4%), 40 (25.6%) and 69 (21.1%), respectively. The IPTW-based hazard ratios (odds ratio for combination therapy) for the primary endpoint were 0.32 (95%CI 0.22-0.47; p < 0.001) for tocilizumab, 0.82 (0.71-1.30; p 0.82) for IHDC, 0.61 (0.43-0.86; p 0.006) for PDC, and 1.17 (0.86-1.58; p 0.30) for combination therapy. Other applications of the propensity score provided similar results, but were not significant for PDC. Tocilizumab was also associated with lower hazard of death alone in IPTW analysis (0.07; 0.02-0.17; p < 0.001). Conclusions: Tocilizumab might be useful in COVID-19 patients with a hyperinflammatory state and should be prioritized for randomized trials in this situatio

    Spatiotemporal Characteristics of the Largest HIV-1 CRF02_AG Outbreak in Spain: Evidence for Onward Transmissions

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    Background and Aim: The circulating recombinant form 02_AG (CRF02_AG) is the predominant clade among the human immunodeficiency virus type-1 (HIV-1) non-Bs with a prevalence of 5.97% (95% Confidence Interval-CI: 5.41–6.57%) across Spain. Our aim was to estimate the levels of regional clustering for CRF02_AG and the spatiotemporal characteristics of the largest CRF02_AG subepidemic in Spain.Methods: We studied 396 CRF02_AG sequences obtained from HIV-1 diagnosed patients during 2000–2014 from 10 autonomous communities of Spain. Phylogenetic analysis was performed on the 391 CRF02_AG sequences along with all globally sampled CRF02_AG sequences (N = 3,302) as references. Phylodynamic and phylogeographic analysis was performed to the largest CRF02_AG monophyletic cluster by a Bayesian method in BEAST v1.8.0 and by reconstructing ancestral states using the criterion of parsimony in Mesquite v3.4, respectively.Results: The HIV-1 CRF02_AG prevalence differed across Spanish autonomous communities we sampled from (p &lt; 0.001). Phylogenetic analysis revealed that 52.7% of the CRF02_AG sequences formed 56 monophyletic clusters, with a range of 2–79 sequences. The CRF02_AG regional dispersal differed across Spain (p = 0.003), as suggested by monophyletic clustering. For the largest monophyletic cluster (subepidemic) (N = 79), 49.4% of the clustered sequences originated from Madrid, while most sequences (51.9%) had been obtained from men having sex with men (MSM). Molecular clock analysis suggested that the origin (tMRCA) of the CRF02_AG subepidemic was in 2002 (median estimate; 95% Highest Posterior Density-HPD interval: 1999–2004). Additionally, we found significant clustering within the CRF02_AG subepidemic according to the ethnic origin.Conclusion: CRF02_AG has been introduced as a result of multiple introductions in Spain, following regional dispersal in several cases. We showed that CRF02_AG transmissions were mostly due to regional dispersal in Spain. The hot-spot for the largest CRF02_AG regional subepidemic in Spain was in Madrid associated with MSM transmission risk group. The existence of subepidemics suggest that several spillovers occurred from Madrid to other areas. CRF02_AG sequences from Hispanics were clustered in a separate subclade suggesting no linkage between the local and Hispanic subepidemics

    TNF-Α May Mediate Inflammasome Activation in the Absence of Bacterial Infection in More than One Way

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    <div><p>Members of the mammalian nucleotide binding domain, leucine-rich repeat (LRR)-containing receptor family of proteins are key modulators of innate immunity regulating inflammation. To date, microbial pathogen-associated molecules and toxins have been identified as key triggers of activation of inflammasomes. However, recently, environmental, and neurodegenerative stimuli have been identified that lead to IL-1ÎČ release by means of inflammasomes. IL-1ÎČ plays a crucial role during brain inflammation, and caspase-1 appears to be a key modulator of IL-1ÎČ bioactivity and the consequent transcriptional regulation of gene expression within the brain during inflammation. We show here that exposure of a human neuroblastoma cell line (SK-N-MC cells) to TNF-α promotes ROS-mediated caspase-1 activation and IL-1ÎČ secretion. The involvement of NF-ÎșB in the regulation of IL-1ÎČ synthesis is investigated through specific inhibition of this transcription factor. The effect of TNF-α was abolished in the presence of ROS inhibitors as NAC, or DPI. Remarkably, SK-N-MC cells do not respond to ATP stimulation in spite of P2X<sub>7</sub>R expression. These results provide a mechanism by which danger signals and particulate matter mediate inflammation via the inflammasome in the absence of microbial infection.</p></div

    Role of ATP and KCl in TNF-α-induced inflammasome activation.

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    <p>A) SK-N-MC cells were stimulated for 24 h with TNF-α (20 ng/ml), or LPS (1 ”g/ml). Where indicated, ATP (5 mM) was added for the last 30 min. Cell lysates were subjected to SDS-PAGE and immunoblotting with anti-IL-1ÎČ, or anti-α-tubulin control. B) Graph depicting the results obtained after performing a densitometer analysis of the blots. C) Stimulation of HEK-Blueℱ IL-1ÎČ cells by supernatants from SK-N-MC cells stimulated with TNF-α. Where indicated, ATP (5 mM) was added for the last 30 min. After 24 h of incubation, SEAP activity of HEK-Blueℱ IL-1ÎČ was assessed using QUANTI-Blueℱ. D) IL-1ÎČ p17 subunit in stimulated cell in the presence of apyrase (5 units/ml). E) The graph depicting the results obtained after performing a densitometer analysis of the blots. F) Expression levels of the P2X<sub>7</sub>R in SK-N-MC control cells, and after TNF-α treatment (20 ng/ml). G) The graph depicting the results obtained after performing a densitometer analysis of the blots. H) Caspase-1 activity in TNF-α-stimulated in the presence of 20 ”M caspase inhibitor Ac-YVAD-CMK or 130 mM extracellular KCl. The results of combining three independent experiments performed in duplicate are shown. Error bars indicate standard error values. Statistical differences in comparison to TNF-α condition **:p<0.01.</p

    TNF-α induces caspase-1 activation in SK-N-MC cells.

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    <p>A) SK-N-MC cells were stimulated for 24 h with the indicated concentrations of TNF-α. Caspase-1 activity was measured in the cell lysates by a fluorometric assay. B) Caspase-1 processing in SK-N-MC cells stimulated with TNF-α was examined by Western blot. Cells were stimulated for 24 h with TNF-α (20 ng/ml), or LPS (1 ”g/ml). C) Graph depicting the results obtained after performing a densitometer analysis of the blots. A, B Immunoblots are representative of three independent experiments. Results are representative of three separate experiments. Quantitative comparisons of the caspase-1 intensities between the control and stimulated cells. Statistical differences in comparison to control values *:p<0.05.; **:p<0.01.</p

    TNF-α activates IL-1ÎČ synthesis, and secretion in SK-N-MC cells.

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    <p>A) SK-N-MC cells were stimulated during the indicated time with TNF-α (20 ng/ml). Cell lysates were subjected to SDS-PAGE and immunoblotting with anti-IL-1ÎČ (top blot). As loading control, the blots were stripped and incubated with anti-α-tubulin (bottom blot). B) Graph depicting the results obtained after performing a densitometer analysis of the blots. For quantitation, the pixel intensity of each band was normalized to the amount of tubulin to verify uniformity in gel loading. C) IL-1ÎČ levels in TNF-α-stimulated cells pretreated or not with actinomycin D at indicated concentrations. D) The graph depicting the results obtained after performing a densitometer analysis of the blots. E) IL-1ÎČ intracellular expression by immunofluorescence. Cells were stained with anti-IL-1ÎČ monoclonal Ab (red) in control cells (left) and after overnight exposure to 20 ng/ml TNF-α (right), and analyzed by confocal microscopy. Nuclei were visualized by staining with DAPI Bar: 20 ”m. F) Stimulation of HEK-Blueℱ IL-1ÎČ cells by supernatants from SK-N-MC cells stimulated with TNF-α, LPS or directly with recombinant human IL-1ÎČ. After 24 h of incubation, SEAP activity was assessed using QUANTI-Blueℱ and reading the optical density (O.D.) at 655 nm. The results of at least three independent experiments are shown. The densities obtained from each of the lanes were normalized to the loading control and later to the control sample. Error bars indicate standard error values. Statistical differences in comparison to control values *:p<0.05.; **:p<0.01.</p
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