Evidence map›Paper›PMID 40284914›Full record

ArticleViruses2025

Analysis of Factors That Regulate HIV-1 Fusion in Reverse.

Ayna Alfadhli, Robin Lid Barklis, Fikadu G Tafesse, Eric Barklis

Abstract read
In one paragraph

Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ayna AlfadhliDepartment of Molecular Microbiology and Immunology, Oregon Health and Science University, Portland, OR 97239, USA.
Robin Lid BarklisDepartment of Molecular Microbiology and Immunology, Oregon Health and Science University, Portland, OR 97239, USA.
Fikadu G TafesseDepartment of Molecular Microbiology and Immunology, Oregon Health and Science University, Portland, OR 97239, USA.ORCID 0000-0002-8575-4164
Eric BarklisDepartment of Molecular Microbiology and Immunology, Oregon Health and Science University, Portland, OR 97239, USA.

Funding

HIV-1 Gag Precursor Protein InteractionsR01AI152579 · NIAID · OREGON HEALTH & SCIENCE UNIVERSITY · PI BARKLIS, ERIC W · 2020 to 2024
$2.5M
Determining the role of sphingolipids in Mycobacterium tuberculosis infectionR01AI141549 · NIAID · OREGON HEALTH & SCIENCE UNIVERSITY · PI TAFESSE, FIKADU G. · 2020 to 2025
$2.4M
NIAID NIH HHS R01 AI141549NIAID NIH HHS R01 AI152579NIH HHS R01 AI152579; R01 AI141549
6 · The paper itself

Abstract

Based on observations that HIV-1 envelope (Env) proteins on the surfaces of cells have the capacity to fuse with neighboring cells or enveloped viruses that express CD4 receptors and CXCR4 co-receptors, we tested factors that affect the capacities of lentiviral vectors pseudotyped with CD4 and CXCR4 variants to infect Env-expressing cells. The process, which we refer to as fusion in reverse, involves the binding and activation of cellular Env proteins to fuse membranes with lentiviruses carrying CD4 and CXCR4 proteins. We have found that infection via fusion in reverse depends on cell surface Env levels, is inhibitable by an HIV-1-specific fusion inhibitor, and preferentially requires lentiviral pseudotyping with a glycosylphosphatidylinositol (GPI)-anchored CD4 variant and a cytoplasmic tail-truncated CXCR4 protein. We have demonstrated that latently HIV-1-infected cells can be specifically infected using this mechanism, and that activation of latently infected cells increases infection efficiency. The fusion in reverse approach allowed us to characterize how alteration of CD4 plus CXCR4 lipid membranes affected Env protein activities. In particular, we found that perturbation of membrane cholesterol levels did not affect Env activity. In contrast, viruses assembled in cells deficient for long-chain sphingolipids showed increased infectivities, while viruses that incorporated a lipid scramblase were non-infectious. Our results yield new insights into factors that influence envelope protein functions.

Indexed as

HIV-1HIV InfectionsVirus InternalizationCD4 AntigensCell LineCell Membraneenv Gene Products, Human Immunodeficiency VirusHEK293 CellsHumansReceptors, CXCR4CD4 AntigensCXCR4 protein, humanenv Gene Products, Human Immunodeficiency VirusReceptors, CXCR4fusionHIV-1lipidmembranes

Identifiers

PMID40284914
PMCPMC12030895

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Registered trials

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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.