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The dynamics of the HIV reservoir during antiretroviral therapy (ART) exhibit variability, with a pronounced decline during the initial years of treatment. However, the identification of biomarkers and host factors associated with the decay of the different forms of HIV proviruses remains to be fully elucidated. We conducted a longitudinal study on people with HIV provided by the Spanish National HIV cohort. We assessed the HIV-DNA levels by Intact Proviral DNA Assay, and inflammatory markers using the Proximity Extension Assay, before and after ART initiation. A multivariate linear regression model was employed to identify potential predictive markers. Our results highlight the identification of novel inflammatory markers, such as ADA, DNER, CDCP1, SCF, among others, that varied significantly over ART initiation. In addition, we observed several markers associated with intact HIV-DNA before ART initiation (CD8A, CX3CL1, and ST1A1) or during undetectable viral load post-ART (IL-10). Moreover, up to five markers were able to predict the intact HIV reservoir decay over ART. The strongest predictor was Stem Cell Factor (SCF), where higher baseline levels of this marker were associated with a greater decline in the intact HIV reservoir. In conclusion, we have identified inflammatory markers associated with the size and dynamics of the HIV-DNA reservoir. These findings provide new insights that could contribute to the development of multi-targeted intervention strategies aimed at modulating or monitoring the HIV reservoir size.

ObjectiveRecurrent infective endocarditis (IE) is a major complication of patients surviving a first episode of IE. This study sought to analyse the current state of recurrent IE in a large contemporary cohort.Methods1335 consecutive episodes of IE were recruited prospectively in three tertiary care centres in Spain between 1996 and 2015. Episodes were categorised into group I (n=1227), first-IE episode and group II (n=108), recurrent IE (8.1%). After excluding six patients, due to lack of relevant data, group II was subdivided into IIa (n=87), reinfection (different microorganism), and IIb (n=15), relapse (same microorganism within 6 months of the initial episode).ResultsThe cumulative burden and incidence of recurrence was slightly lower in the second decade of the study (2006–2015) (7.17 vs 4.10 events/100 survivors and 7.51% vs 3.82, respectively). Patients with reinfections, compared with group I, were significantly younger, had a higher frequency of HIV infection, were more commonly intravenous drug users (IVDU) and prosthetic valve carriers, had less embolic complications and cardiac surgery, with similar in-hospital mortality. IVDU was found to be an independent predictor of reinfection (HR 3.92, 95% CI 1.86 to 8.28).In the relapse IE group, prosthetic valve endocarditis (PVE) and periannular complications were more common. Among patients treated medically, those with PVE had a higher relapse incidence (4.82% vs 0.43% in native valve IE, p=0.018). Staphylococcus aureus and PVE were independent predictors of relapse (HR 3.14, 95% CI 1.11 to 8.86 and 3.19, 95% CI 1.13 to 9.00, respectively) and in-hospital-mortality was similar to group I. Three-year all-cause mortality was similar in recurrent episodes compared with single episodes.ConclusionRecurrent IE remains a frequent late complication. IVDU was associated with a fourfold increase in the risk of reinfection. PVE treated medically and infections caused by S. aureus increased the risk of relapse. In-hospital and long-term mortality was comparable among groups.

Some patients with COVID-19 pneumonia develop an associated cytokine storm syndrome that aggravates the pulmonary disease. These patients may benefit of anti-inflammatory treatment. The role of colchicine in hospitalized patients with COVID-19 pneumonia and established hyperinflammation remains unexplored. In a prospective, randomized controlled, observer-blinded endpoint, investigator-initiated trial, 240 hospitalized patients with COVID-19 pneumonia and established hyperinflammation were randomly allocated to receive oral colchicine or not. The primary efficacy outcome measure was a composite of non-invasive mechanical ventilation (CPAP or BiPAP), admission to the intensive care unit, invasive mechanical ventilation requirement or death. The composite primary outcome occurred in 19.3% of the total study population. The composite primary outcome was similar in the two arms (17% in colchicine group vs. 20.8% in the control group; p  = 0.533) and the same applied to each of its individual components. Most patients received steroids (98%) and heparin (99%), with similar doses in both groups. In this trial, including adult patients with COVID-19 pneumonia and associated hyperinflammation, no clinical benefit was observed with short-course colchicine treatment beyond standard care regarding the combined outcome measurement of CPAP/BiPAP use, ICU admission, invasive mechanical ventilation or death (Funded by the Community of Madrid, EudraCT Number: 2020-001841-38; 26/04/2020).

SARS-CoV-2 viral load has been related to COVID-19 severity. The main aim of this study was to evaluate the relationship between SARS-CoV-2 viremia and SNPs in genes previously studied by our group as predictors of COVID-19 severity. Retrospective observational study including 340 patients hospitalized for COVID-19 in the University Hospital La Princesa between March 2020 and December 2021, with at least one viremia determination. Positive viremia was considered when viral load was above the quantifiable threshold (20 copies/ml). A total of 38 SNPs were genotyped. To study their association with viremia a multivariate logistic regression was performed. The mean age of the studied population was 64.5 years (SD 16.6), 60.9% patients were male and 79.4% white non-Hispanic. Only 126 patients (37.1%) had at least one positive viremia. After adjustment by confounders, the presence of the minor alleles of rs2071746 ( ; T/T genotype OR 9.9  < 0.0001), rs78958998 (probably associated with expression; A/T genotype OR 2.3,  = 0.04 and T/T genotype OR 12.9,  < 0.0001), and rs713400 (eQTL for ; C/T + T/T genotype OR 1.86,  = 0.10) were associated with higher risk of viremia, whereas the minor alleles of rs11052877 ( ; A/G genotype OR 0.5, p = 0.04 and G/G genotype OR 0.3,  = 0.01), rs2660 ( ; A/G genotype OR 0.6,  = 0.08), rs896 ( ; T/T genotype OR 0.4,  = 0.02) and rs33980500 ( ; C/T + T/T genotype OR 0.3,  = 0.01) were associated with lower risk of viremia. Genetic variants in (rs2071746), (rs78958998), (rs713400), (rs11052877), (rs33980500), (rs2660) and (rs896) could explain heterogeneity in SARS-CoV-2 viremia in our population.

BackgroundInterleukin 6 (IL6) levels and SARS-CoV-2 viremia have been correlated with COVID-19 severity. The association over time between them has not been assessed in a prospective cohort. Our aim was to evaluate the relationship between SARS-CoV-2 viremia and time evolution of IL6 levels in a COVID-19 prospective cohort.MethodsSecondary analysis from a prospective cohort including COVID-19 hospitalized patients from Hospital Universitario La Princesa between November 2020 and January 2021. Serial plasma samples were collected from admission until discharge. Viral load was quantified by Real-Time Polymerase Chain Reaction and IL6 levels with an enzyme immunoassay. To represent the evolution over time of both variables we used the graphic command twoway of Stata.ResultsA total of 57 patients were recruited, with median age of 63 years (IQR [53–81]), 61.4% male and 68.4% Caucasian. The peak of viremia appeared shortly after symptom onset in patients with persistent viremia (more than 1 sample with > 1.3 log10 copies/ml) and also in those with at least one IL6 > 30 pg/ml, followed by a progressive increase in IL6 around 10 days later. Persistent viremia in the first week of hospitalization was associated with higher levels of IL6. Both IL6 and SARS-CoV-2 viral load were higher in males, with a quicker increase with age.ConclusionIn those patients with worse outcomes, an early peak of SARS-CoV-2 viral load precedes an increase in IL6 levels. Monitoring SARS-CoV-2 viral load during the first week after symptom onset may be helpful to predict disease severity in COVID-19 patients.

The characteristics of the host are crucial in the final outcome of COVID-19. Herein, the influence of genetic and clinical variants in COVID-19 severity was investigated in a total of 1350 patients. Twenty-one single nucleotide polymorphisms of genes involved in SARS-CoV-2 sensing as Toll-like-Receptor 7, antiviral immunity as the type I interferon signalling pathway ( TYK2, STAT1, STAT4, OAS1, SOCS ) and the vasoactive intestinal peptide and its receptors ( VIP/VIPR1,2 ) were studied. To analyse the association between polymorphisms and severity, a model adjusted by age, sex and different comorbidities was generated by ordinal logistic regression. The genotypes rs8108236-AA (OR 0.12 [95% CI 0.02–0.53]; p  = 0.007) and rs280519-AG (OR 0.74 [95% CI 0.56–0.99]; p  = 0.03) in TYK2 , and rs688136-CC (OR 0.7 [95% CI 0.5–0.99]; p  = 0.046) in VIP, were associated with lower severity; in contrast, rs3853839-GG in TLR7 (OR 1.44 [95% CI 1.07–1.94]; p  = 0.016), rs280500-AG (OR 1.33 [95% CI 0.97–1.82]; p  = 0.078) in TYK2 and rs1131454-AA in OAS1 (OR 1.29 [95% CI 0.95–1.75]; p  = 0.110) were associated with higher severity. Therefore, these variants could influence the risk of severe COVID-19.

The elimination of the latent viral reservoir remains the main barrier in the quest for a cure for people with HIV (PWH). The administration of latency reversal agents (LRA) at antiretroviral treatment (ART) initiation could improve the effectiveness of strategies aimed at HIV remission. This study assessed the impact of maraviroc (MVC), an antiretroviral drug with HIV latency reversal properties, on the viral reservoir size when it is administered at ART initiation. We conducted a longitudinal observational study in PWH initiating ART with a regimen including (MVC-initiation, n = 12) or not including MVC (non-MVC-initiation, n = 22), or switching to an MVC-containing regimen after achieving an undetectable viral load (VL) (MVC-switch, n = 9). The HIV reservoir size was determined via Alu-LTR and Intact Proviral DNA Assay (IPDA) methods, and cell-associated HIV-RNA (ca-HIV-RNA) by nested-qPCR. Comparative analyses employed mixed multivariate linear models. After a median of 90 weeks, the MVC-initiation group showed a greater reduction in integrated and IPDA-total (7.1- and 4.0-fold, respectively), but not IPDA-intact, HIV-DNA reservoir compared to the non-MVC-initiation group. The reductions in integrated, IPDA-total, and IPDA-intact HIV-DNA levels in the MVC-initiation group were also greater compared to the MVC-switch group (from 5.4 to 13.8-fold). Moreover, no significant differences in the HIV transcriptional activity, assessed by ca-HIV-RNA levels or HIV-RNA/HIV-DNA ratios, were observed between the MVC-initiation and non-MVC-initiation groups. In conclusion, starting ART with a drug with HIV latency reversing activity at detectable VL phase may contribute to a greater reduction in the HIV-DNA reservoir. These findings could inform the design of future trials targeting HIV remission via a “kick and kill” strategy.

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS—so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts.