HIV-specific immunity Acute Infection Early disease (AIED)
Notice bibliographique
Résumé
An estimated 33 millions of individuals are currently infected with HIV worldwide; the majority of them lives in Sub-Saharan Africa and do not have access to antiretroviral treatment despite all efforts from the international community. Despite efforts made in the area of prevention and treatment, the virus is still continuing to infect people worldwide. It is therefore believed that a safe, effective and affordable vaccine is the best solution to the global HIV epidemic. Unfortunately, despite recent advances in our understanding of HIV-1 pathogenesis and immunology, this goal remains elusive. Vaccination started with Edward Jenner's success with smallpox immunization in 1796. Since then, a number of successful vaccines have been developed including, polio, measles, mumps, rubella, hepatitis B and influenza. The quest for an effective HIV-1 vaccine has proved to be very difficult because of specific characteristic of the virus, the lack of understanding of correlates of protection from infection and disease progression and the inadequacy of assays currently used to evaluate immune responses. This thesis focuses on characterizing the qualitative and quantitative features of HIV-specific T cell immune responses in individuals in primary infection as well as their fate in progressive HIV disease. The rationale for studying individuals in primary HIV infection is that events during this phase of infection are believed to set the stage for the subsequent course of infection. We first developed an ELISPOT assay able to detect both IFN-γ and IL-2 secretion simultaneously. This assay was used for the comprehensive screening and characterization of responses to the entire HIV proteome in individuals during primary and chronic infections. We showed that the dual color ELISPOT assay developed in our laboratory is capable of detecting 3 functional lymphocyte populations: single IFN-γ, dual IFN-γ/IL-2 and single IL-2 secreting cells. We demonstrated that this assay is sensitive, reproducible and able to detect both CD4+ and CD8+ T cell responses. We found that the breadth and magnitude of responses directed against the entire HIV proteome was not associated with control of viremia. Interestingly, we found an association between Gag p55-, and particularly Gag p24-specific responses, with concurrent and set point VL, for all 3 functional subsets detected. We also showed that the contribution of IFN-γ/IL-2 secreting cells to the total HIV-specific response as well as their proliferative capacity was reduced by the 2nd year of HIV infection. Taken together, we believe that the results presented in this thesis contribute to furthering our understanding of immune correlates of protection from disease progression. These results suggest that vaccine strategies designed to focus immune responses against Gag may have a better chance of controlling HIV viral replication to levels that slow disease progression and reduce HIV transmission both at the individual and the population levels.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,025 | 0,010 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».