SynthesisJournal of translational medicine2017
Transcriptomic meta-analysis identifies gene expression characteristics in various samples of HIV-infected patients with nonprogressive disease.
Synthesis in Journal of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
What it found
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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
14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Meta-Analysis of Peripheral Blood Transcriptome Datasets Reveals a Biomarker Panel for Tuberculosis in Patients Infected With HIV.Frontiers in cellular and infection microbiology · 2021Pooled it
- Meta-analysis of gene expression profiles in long-term non-progressors infected with HIV-1.BMC medical genomics · 2019Pooled it
- Distinct gene expression characteristics in epithelial cell-International journal of medical sciences · 2019Pooled it
- Failed immune responses across multiple pathologies share pan-tumor and circulating lymphocytic targets.The Journal of clinical investigation · 2019Trial
- Tenofovir, Interferon Pathways, and Mucosal Immunity: Implications for People Living With HIV.American journal of reproductive immunology (New York, N.Y. : 1989) · 2026Review
- Novel insights into immune checkpoints in HIV/SHIV infection: from SHIVJournal of virology · 2025Article
- Omic Technologies in HIV: Searching Transcriptional Signatures Involved in Long-Term Non-Progressor and HIV Controller Phenotypes.Frontiers in immunology · 2022Review
- Transcriptome Analysis Identifies Altered Biological Processes and Novel Markers in Human Immunodeficiency Virus-1 Long-Term Non-Progressors.Infection & chemotherapy · 2021Article
- Landscape of T Cells Transcriptional and Metabolic Modules During HIV Infection Based on Weighted Gene Co-expression Network Analysis.Frontiers in genetics · 2021Article
- Meta-analysis of transcriptome datasets: An alternative method to study IL-6 regulation in coronavirus disease 2019.Computational and structural biotechnology journal · 2021Article
- Transcriptional signature of resting-memory CD4 T cells differentiates spontaneous from treatment-induced HIV control.Journal of molecular medicine (Berlin, Germany) · 2020Article
- Insight in miRNome of Long-Term Non-Progressors and Elite Controllers Exposes Potential RNAi Role in Restraining HIV-1 Infection.Journal of clinical medicine · 2020Article
- Dysfunctional Immunometabolism in HIV Infection: Contributing Factors and Implications for Age-Related Comorbid Diseases.Current HIV/AIDS reports · 2020Review
- Increases in compulsivity, inflammation, and neural injury in HIV transgenic rats with escalated methamphetamine self-administration under extended-access conditions.Brain research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA small proportion of HIV-infected patients remain clinically and/or immunologically stable for years, including elite controllers (ECs) who have undetectable viremia (<50 copies/ml) and long-term nonprogressors (LTNPs) who maintain normal CD4
methodsUsing the INMEX (integrative meta-analysis of expression data) program, we performed the meta-analysis to identify consistently differentially expressed genes (DEGs) in nonprogressors and further performed functional interpretation (gene ontology analysis and pathway analysis) of the DEGs identified in the meta-analysis. Five microarray datasets (81 cases and 98 controls in total), including whole blood, CD4
resultsWe determined that nonprogressors have reduced expression of important interferon-stimulated genes (ISGs), CD38, lymphocyte activation gene 3 (LAG-3) in whole blood, CD4
conclusionsOur transcriptomic meta-analysis provides a comprehensive evaluation of the gene expression profiles in major blood types of nonprogressors, providing new insights in the understanding of HIV pathogenesis and developing strategies to delay HIV disease progression.
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What Socratic 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 Socratic graph.