Trial reportBlood2013
High-dimensional immunomonitoring models of HIV-1-specific CD8 T-cell responses accurately identify subjects achieving spontaneous viral control.
Trial report in Blood, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
45 citing papers in PubMed, 68 citations in OpenAlex.
- A real-time killing assay to follow viral epitope presentation to CD8 T cells.Journal of immunological methods · 2013Trial
- NK-like and networked CD8bioRxiv : the preprint server for biology · 2026Article
- Review
- HIV-1 bNAb Vaccinal Effect-An Underachieving Goal?Current HIV research · 2026Review
- Accelerating Innovation: Advancing Opportunities in HIV Vaccine Development.Current HIV research · 2026Review
- Persistent elite controllers as the key model to identify permanent HIV remission.Current opinion in HIV and AIDS · 2025Review
- The role of mRNA-galsomes and LNPs in enhancing HIV-specific T cell responses across various lymphoid organs.Molecular therapy. Nucleic acids · 2024Article
- Molecular basis of differential HLA class I-restricted T cell recognition of a highly networked HIV peptide.Nature communications · 2023Article
- Integrative Nomogram of Computed Tomography Radiomics, Clinical, and Tumor Immune Features for Analysis of Disease-Free Survival of NSCLC Patients with Surgery.Journal of oncology · 2023Article
- CD8 lymphocytes mitigate HIV-1 persistence in lymph node follicular helper T cells during hyperacute-treated infection.Nature communications · 2022Article
- T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals.Cell · 2022Article
- A Radiomics Nomogram for Non-Invasive Prediction of Progression-Free Survival in Esophageal Squamous Cell Carcinoma.Frontiers in computational neuroscience · 2022Article
- Myeloid-derived suppressor cells and the pathogenesis of human immunodeficiency virus infection.Open biology · 2021Review
- Functional impairment of HIV-specific CD8Immunity · 2021Article
- TCF-1 regulates HIV-specific CD8+ T cell expansion capacity.JCI insight · 2021Article
- A Novel Nomogram Model Based on Cone-Beam CT Radiomics Analysis Technology for Predicting Radiation Pneumonitis in Esophageal Cancer Patients Undergoing Radiotherapy.Frontiers in oncology · 2020Article
- Immune Control of HIV.Journal of life sciences (Westlake Village, Calif.) · 2019Article
- Structural topology defines protective CD8Science (New York, N.Y.) · 2019Article
- Dysfunctional peripheral T follicular helper cells dominate in people with impaired influenza vaccine responses: Results from the FLORAH study.PLoS biology · 2019Article
- Differential Pathogen-Specific Immune Reconstitution in Antiretroviral Therapy-Treated Human Immunodeficiency Virus-Infected Children.The Journal of infectious diseases · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 8 institutions in 3 countries.
Funding
Abstract
unlabelledThe development of immunomonitoring models to determine HIV-1 vaccine efficacy is a major challenge. Studies suggest that HIV-1–specific CD8 T cells play a critical role in subjects achieving spontaneous viral control (HIV-1 controllers) and that they will be important in immune interventions. However, no single CD8 T-cell function is uniquely associated with controller status and the heterogeneity of responses targeting different epitopes further complicates the discovery of determinants of protective immunity. In the present study, we describe immunomonitoring models integrating multiple functions of epitope-specific CD8 T cells that distinguish controllers from subjects with treated or untreated progressive infection. Models integrating higher numbers of variables and trained with the least absolute shrinkage and selection operator (LASSO) variant of logistic regression and 10-fold cross-validation produce “diagnostic tests” that display an excellent capacity to delineate subject categories. The test accuracy reaches 75% area under the receiving operating characteristic curve in cohorts matched for prevalence of protective alleles. Linear mixed-effects model analyses show that the proliferative capacity, cytokine production, and kinetics of cytokine secretion are associated with HIV-1 control. Although proliferative capacity is the strongest single discriminant, integrated modeling of different dimensions of data leverages individual associations. This strategy may have important applications in predictive model development and immune monitoring of HIV-1 vaccine trials. KEY POINTS: Immune monitoring models integrating multiple functions of HIV-1-specific CD8 T cells distinguish controllers from subjects with progressive HIV-1 infection. This strategy may have important applications in predictive model development and immune monitoring of HIV-1 vaccine trials.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.