ArticlePloS one2016
HIV-1 Promoter Single Nucleotide Polymorphisms Are Associated with Clinical Disease Severity.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 14 citations in OpenAlex.
- Impact of chromatin on HIV-1 latency: a multi-dimensional perspective.Epigenetics & chromatin · 2025Review
- The Evolution of Dendritic Cell Immunotherapy against HIV-1 Infection: Improvements and Outlook.Journal of immunology research · 2020Review
- Novel gRNA design pipeline to develop broad-spectrum CRISPR/Cas9 gRNAs for safe targeting of the HIV-1 quasispecies in patients.Scientific reports · 2019Article
- Investigating the distribution of HIV-1 Tat lengths present in the Drexel Medicine CARES cohort.Virus research · 2019Article
- Broad-Spectrum and Personalized Guide RNAs for CRISPR/Cas9 HIV-1 Therapeutics.AIDS research and human retroviruses · 2018Article
- Distinctive variation in the U3R region of the 5' Long Terminal Repeat from diverse HIV-1 strains.PloS one · 2018Article
- Designing broad-spectrum anti-HIV-1 gRNAs to target patient-derived variants.Scientific reports · 2017Article
- Specific amino acids in HIV-1 Vpr are significantly associated with differences in patient neurocognitive status.Journal of neurovirology · 2017Article
- The sense behind retroviral anti-sense transcription.Virology journal · 2017Article
- Evidence of Divergent Amino Acid Usage in Comparative Analyses of R5- and X4-Associated HIV-1 Vpr Sequences.International journal of genomics · 2017Article
- Utilization of HIV-1 envelope V3 to identify X4- and R5-specific Tat and LTR sequence signatures.Retrovirology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 3 institutions in 1 country.
Funding
Abstract
The large majority of human immunodeficiency virus type 1 (HIV-1) markers of disease progression/severity previously identified have been associated with alterations in host genetic and immune responses, with few studies focused on viral genetic markers correlate with changes in disease severity. This study presents a cross-sectional/longitudinal study of HIV-1 single nucleotide polymorphisms (SNPs) contained within the viral promoter or long terminal repeat (LTR) in patients within the Drexel Medicine CNS AIDS Research and Eradication Study (CARES) Cohort. HIV-1 LTR SNPs were found to associate with the classical clinical disease parameters CD4+ T-cell count and log viral load. They were found in both defined and undefined transcription factor binding sites of the LTR. A novel SNP identified at position 108 in a known COUP (chicken ovalbumin upstream promoter)/AP1 transcription factor binding site was significantly correlated with binding phenotypes that are potentially the underlying cause of the associated clinical outcome (increase in viral load and decrease in CD4+ T-cell count).
Indexed as
Identifiers
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.