ArticleHeliyon2024
Expression pattern analysis of the long non-coding RNAs (TINCR, RP11-573D15.8, RP11-156E8.1), and their target genes (AKT1, FOXO1 and MAPK3) in patients with HIV infection, and elite controllers.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Integrated bioinformatics analysis identifies hub genes and immune regulatory networks in HIV infection.Frontiers in immunology · 2025Article
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Authors and funding
9 authors.
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Abstract
Elite controllers (ECs) defined as a small subclass of subjects with HIV capable of controlling human immunodeficiency virus (HIV) replication in the lack of antiretroviral treatment. One class of RNA molecules that serve as vital components in the network of HIV-related transcriptional regulation, are long noncoding RNAs (lncRNAs). The critical part that they take is in transcriptional regulation of HIV through monitoring various cellular signaling pathways. Reportedly, AKT and MAPK signaling pathways serve a crucial role in modulation of HIV infection. In the current investigation, we utilized bioinformatics tools to predict the lncRNAs that have the ability to interact with MAPK3, AKT, and FOXO1. Then, PBMC expression levels of lncRNAs and their target genes (AKT, FOXO1 and MAPK3) measured in the ECs (n = 15), HIV-positive (n = 40) patients and healthy control subjects (n = 40). We found a significant increase and decrease in the level of AKT and FOXO1 expression within the ECs group, respectively than in the HIV + group (P-value <0.0001 and 0.04, respectively). In the ECs group, the level of TINCR and RP11-156E8.1 was overexpressed compared to the HIV + group (P-value: 0.004 and 0.001, respectively). While RP11-573D15.8 level in ECs exhibited a significant suppression in contrast to HIV + group (P-value: 0.02). According to the receiver-operating characteristic (ROC) curve results, AKT and TINCR could serve as useful biomarkers for screening ECs groups from HIV + patients and healthy control groups. Overall, different expression patterns of selected factors and ROC curve results showed these factors could critically contribute to HIV controlling and be considered as diagnostic markers for ECs from HIV + samples.
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