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Longitudinal Human Immunodeficiency Virus Type 1 Load in the Italian Seroconversion Study: Correlates and Temporal Trends of Virus Load

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A prospective study of 149 human immunodeficiency virus type 1 (HIV-1) seroconverters was conducted to describe trends and correlates of HIV-1 load after seroconversion and over time. HIV-1 load was quantified from frozen sera by reverse transcriptase-polymerase chain reaction. High early virus load was associated with lower CD4 cell counts and male sex but not with age at seroconversion or injection drug use. Early virus load predicted progression to clinical AIDS and AIDS/<200 CD4 cells/μL. Virus load exhibited a decline of 52% by 18 months after seroconversion then increased 23% annually (95% confidence interval, 13%–33%). Men and those developing AIDS during follow-up had higher virus loads over the course of disease. Persons who developed AIDS had a steeper virus load slope than those who were AIDS-free (P = .01). In long-term follow-up, virus load exhibited a gradual and sustained increase over time. Virus load and annual increase are strong predictors of disease progression.
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... Usage du préservatif: PpreservatifSon efficacité dépend de sa fréquence d'utilisation (toujours, parfois et jamais comme décrit dans(121,122).Tableau 2 Variables conditionnant la probabilité de transmissionTout individu infecté peut être transmetteur, à l'exception des individus au stade SIDA de la maladie qui ne font plus de contact dans le modèle. Nous avons considéré que le diagnostic de ce stade suivait d'un mois la déclaration de la maladie.Pendant les trois premiers mois, la charge virale monte vite pour décroitre vers la première valeur de la CV au stade chronique en 3 mois (124-126)(127,128).Pour la phase chronique de la maladie, il existe une grande variété de données et de publications sur l'évolution naturelle de la charge virale(129,130). Notre modèle est basé sur l'article d'Hubert et al.(131). ...
Thesis
La notion de réseaux de contacts est majeure en épidémiologie des maladies transmissibles. Les données de réseaux peuvent être utilisées 1) à des fins analytiques, dans l’objectif d’intégrer des variables liée au réseau dans le risque d’acquérir une pathologie, 2) à des fins de simulation, afin d’évaluer l’importance des variables de réseaux dans un processus épidémique et 3) à des fins de redressement de données épidémiologiques issues d’échantillons non représentatifs échantillonnés au sein d’un réseau. L’étude des réseaux et leur impact dans l’évolution d’une épidémie a pris son essor avec l’apparition du VIH. Ce virus se transmet essentiellement par voie sexuelle en suivant les liens formant un réseau de contacts dit sexuels. Après avoir dressé le panorama bibliographique sur l’utilisation des variables de réseaux dans l’analyse du risque de la transmission du VIH nous développons deux travaux utilisant la modélisation et la simulation de réseaux de contacts sexuels dans des populations d’hommes ayant des rapports sexuels avec des hommes (HSH). Le premier travail détaille l’usage des réseaux dans la simulation de l’épidémie liée au VIH et leur impact sur l’effet des mesures de prévention. A partir des données de l’étude PREVAGAY portant sur les hommes ayant des rapports sexuels avec des hommes visitant des lieux de rencontre parisiens, des réseaux de contacts sexuels réalistes ont été développés. Des processus épidémiques ont été générés dans ces réseaux et comparés à des réseaux théoriques. Nous démontrons que la structure du réseau influe non seulement sur l’évolution de la courbe épidémique mais également sur l’efficacité des mesures de prévention individuelles telles que la prophylaxie de préexposition. Son efficacité peut être doublée selon les caractéristiques réseaux des individus entrant dans ce type de programme de prévention. Ce travail confirme la nécessité de colliger des données de réseau en France en vue de préciser le modèle développé. Le deuxième travail généralise une méthode d’estimation de la prévalence du VIH réseaux à partir de données d’observation partielle et utilisant la modélisation de réseaux. Cet outil était antérieurement peu applicable aux données réelles. Il démontre la robustesse de la méthode face aux biais classiquement retrouvés dans les données récoltées par échantillonnage orientés par les pairs (respondent driven sampling (RDS). L’application de cette méthode d’estimation a été comparée aux méthodes historiques d’estimation à partir de données réelles issues d’une étude de type RDS réalisé chez les HSH vivant dans les grandes zones urbaines au Brésil. Le travail confirme l’inquiétante prévalence de l’infection par le VIH dans cette population malgré de grandes disparités territoriales. Il ouvre vers d’éventuelles comparaisons de données historiques en vue de comprendre l’évolution de l’épidémie liée au VIH au Brésil. L’ensemble de ce travail suggère que les caractéristiques des réseaux peuvent être utilisées à des fins d’intervention dans le but de mettre en œuvre des politiques de préventions rapidement efficientes.
... Biological sex also affects various aspects of HIV infection and progression [10,11], such as plasma viral load [12][13][14] and immune activation. For example, levels of plasma HIV RNA proximal to seroconversion are higher in men than women [15][16][17][18][19][20][21], although these differences attenuate with disease progression. In contrast, women exhibit higher T-cell activation [22], interferon-a production after toll-like receptor 7 stimulation [22,23] and expression of interferon-stimulated genes when matched by level of plasma viraemia [24]. ...
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... Il ne s'agit que d'une stabilité apparente car la réplication virale est particulièrement active dans les tissus lymphoïdes et de nombreuses cellules CD4 sont détruites chaque jour (environ 1 milliard) mais rapidement remplacées par l'organisme. Si le niveau de CV reste stable ou augmente peu, le taux de LT CD4 diminue à une vitesse variant entre 49 et 109/mm 3 par an (Drylewicz et al. 2008 ;Lyles et al. 1999). Par ailleurs, plus le nadir de CV (qui correspond au niveau de CV le plus bas atteint à l'issue de la PIV) est élevé, plus la décroissance du nombre de LT CD4 est rapide (J. ...
Thesis
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... A growing body of data has demonstrated that women exhibit more robust immune responses to both primary viral infections and vaccination compared to men (2,3). In HIV-1 specifically, several studies have reported that chronically infected women have significantly lower plasma viremia than men, although the reason for this discrepancy has yet to be identified (5)(6)(7)(8)(9)(10). In addition, a study comparing men and women chronically infected with HIV-1 found that infected women had a higher proportion of activated (CD38 ϩ HLA-DR ϩ ) CD8 ϩ T cells, but not CD4 ϩ T cells, prior to antiretroviral therapy (ART) initiation, suggesting higher levels of detrimental immune activation (11). ...
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Previous studies have identified sex-specific differences during chronic HIV-1 infection, but little is known about sex differences in the acute phase, or how disparities in the initial response to the virus may affect disease. We demonstrate that restriction of viral load in women begins during acute infection and is maintained into chronic infection. Despite this, women exhibit more rapid CD4 ⁺ T cell loss than men. These profound differences are influenced by 17β-estradiol, which contributes both to T cell activation and to reduced viral replication. Thus, we conclude that estradiol plays a key role in shaping responses to early HIV-1 infection that influence the chronic phase of disease.
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Biological sex has wide-ranging impacts on HIV infection spanning differences in acquisition risk, the pathogenesis of untreated infection, impact of chronic treated disease and prospects for HIV eradication or functional cure. This chapter summarizes the scope of these differences and discusses several features of the immune response thought to contribute to the clinical outcomes.
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Many statistical and computational models have been developed to investigate the complexity of HIV dynamics in the immune response. Most of the models described viral replication as a system of differential equations, where the solution of parameters is not easy to obtain. A model of HIV replication where infected cells undergo through a truncated logistic distribution is proposed. An infected cell is modelled as an individual entity with certain states and properties. Three simulation approaches are used for implementing the model, conditional distribution, truncated population mean approaches and sample mean. Simulation results give insights into the details of HIV replication dynamics inside the cell at the protein level. Therefore the model can be used for future studies of HIV intracellular replication. It will also promote a better understanding of the HIV/AIDS transmission dynamics, the study will also add to the existing body of knowledge on the mathematical application in the field of epidemiology.
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Background Immune activation is a significant contributor to HIV pathogenesis and disease progression. In virally-suppressed individuals on ART, low-level immune activation has been linked to several non-infectious comorbid diseases. However, studies have not been systematically performed in sub-Saharan Africa and thus the impact of demographics, ART and regional endemic co-infections on immune activation is not known. We therefore comprehensively evaluated in a large multinational African cohort markers for immune activation and its distribution in various settings. Methods 2747 specimens from 2240 people living with HIV (PLWH) and 477 without HIV from the observational African Cohort Study (AFRICOS) were analyzed for 13 immune parameters. Samples were collected along with medical history, sociodemographic and comorbidity data at 12 HIV clinics across 5 programs in Uganda, Kenya, Tanzania and Nigeria. Data were analyzed with univariate and multivariate methods such as random forests and principal component analysis. Findings Immune activation was markedly different between PLWH with detectable viral loads, and individuals without HIV across sites. Among viremic PLWH, we found that all immune parameters were significantly correlated with viral load except for IFN-α. The overall inflammatory profile was distinct between men and women living with HIV, in individuals off ART and with HIV viremia. We observed stronger differences in the immune activation profile with increasing viremia. Using machine learning methods, we found that geographic differences contributed to unique inflammatory profiles. We also found that among PLWH, age and the presence of infectious and/or noninfectious comorbidities showed distinct inflammatory patterns, and biomarkers may be used to predict the presence of some comorbidities. Interpretation Our findings show that chronic immune activation in HIV-1 infection is influenced by HIV viral load, sex, age, region and ART use. These predictors, as well as associations among some biomarkers and coinfections, influence biomarkers associated with noncommunicable diseases. Funding This work was supported by the President's Emergency Plan for AIDS Relief via a cooperative agreement between the Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., and the U.S. Department of Defense [W81XWH-11-2-0174, W81XWH-18-2-0040]. The investigators have adhered to the policies for protection of human subjects as prescribed in AR 70–25. This article was prepared while Michael A. Eller was employed at Henry M. Jackson Foundation for the Advancement of Military Medicine for the U.S. Military HIV Research Program. The views expressed are those of the authors and should not be construed to represent the positions of the US Army or the Department of Defense. The opinions expressed in this article are the author's own, and do not reflect the view of the National Institutes of Health, the U.S. Department of Health and Human Services, or the U.S. government.
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Objective: Despite lower plasma HIV RNA levels, women progress faster to AIDS than men. The reasons for these differences are not clear but might be a consequence of an elevated inflammatory response in women. Methods: We investigated sex differences in cytokine profiles by measuring the concentrations of 36 cytokine/chemokines by Luminex in blood of women and men (sex at birth) with chronic HIV infection under suppressive therapy. We initially performed a principal component analysis to see if participants clustered by sex, and then fit a partial least squares discriminant analysis (PLS-DA) model where we used cytokines to predict sex at birth. The significance of the difference in nine cytokines with VIP greater than 1 was tested using Wilcoxon test-rank. Further, potential confounding factors were tested by multivariate linear regression models. Results: Overall, we predicted sex at birth in the PLS-DA model with an error rate of approximately 13%. We identified five cytokines, which were significantly higher in women compared with men, namely the pro-inflammatory chemokines CXCL1 (Gro-α), CCL5 (RANTES), CCL3 (MIP-1α), CCL4 (MIP-1β), as well as the T-cell homeostatic factor IL-7. The effect of sex remained significant after adjusting for CD4+, age, ethnicity, and race for all cytokines, except for CCL3 and race. Conclusion: The observed sex-based differences in cytokines might contribute to higher immune activation in women compared with men despite suppressive therapy. Increased levels of IL-7 in women suggest that homeostatic proliferation may have a differential contribution to HIV reservoir maintenance in female and male individuals. Our study emphasizes the importance of sex-specific studies of viral pathogenesis.
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