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Record W2942603095 · doi:10.1101/622712

CD71 <sup>+</sup> erythroid cells exacerbate HIV-1 infection by reactive oxygen species and trans-infect HIV to CD4 <sup>+</sup> T cells

2019· preprint· en· W2942603095 on OpenAlexafffund
Afshin Namdar, Garett Dunsmore, Petya Koleva, Shima Shahbaz, Juan Jovel, Stan Houston, Shokrollah Elahi

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaCanadian Institutes of Health ResearchWomen and Children's Health Research InstituteFaculty of Medicine and Dentistry, University of AlbertaChildren's Health Research Institute
KeywordsBiologyCord bloodViral replicationVirologyTransferrin receptorPeripheral blood mononuclear cellReceptorImmunologyViral loadReactive oxygen speciesPlacentaChemokineVirusInflammationIn vitroCell biologyFetusPregnancy

Abstract

fetched live from OpenAlex

Abstract CD71 + erythroid cells (CECs) have a wide range of immunomodulatory properties but their potential role in HIV has never been investigated before. Here, we demonstrate that CECs are abundant in the human cord blood, placental tissue and peripheral blood of pregnant mothers. We found that CECs exacerbate HIV-1 infection/replication when co-cultured with CD4 + T cells; and that pre-exposure of CD4 + T cells to CECs make them more permissible to HIV-infection. Our observations indicate how interactions of CECs with CD4 + T cells via reactive oxygen species (ROS)-dependent mechanism results in the upregulation of NF-kB, which affects the cell cycle machinery to facilitate HIV-1 replication. We found the complement receptor-1 (CD35) and the Duffy antigen receptor for chemokines (DARC) as potential HIV-target molecules are expressed significantly higher on CECs compared to mature red blood cells. However, blocking CD35 or DARC did not inhibit HIV-1 trans-infection to uninfected CD4 + T cells. We demonstrate that CECs bind to HIV-1 via CD235a and subsequently trans-infect the virus to uninfected CD4 + T cells. In addition, we found significant abundance of CECs in the blood of HIV-1 infected and anemic subjects, which enhanced HIV infection/replication in autologous CD4 + T cells similar to what we observed for the cord blood and placenta-derived CECs. In agreement, a positive correlation between the frequency of CECs with the plasma viral load in HIV-1 infected antiretroviral therapy naïve individuals was observed. In addition, we found that CECs even in the presence of Tenofovir, can trans-infect HIV-1 to CD4 + T cells. Our studies provide a novel insight into the role of CECs in HIV pathogenesis as potential contributing cells for viral persistence in the presence of antiretroviral therapy. Author summary Despite current antiretroviral therapy, HIV-1 persists in a small pool of infected cells. A better understanding of HIV-reservoirs and influence of other non-immune cells on HIV-1 replication and transmission is a pre-requisite to the development of HIV-eradication strategies. Immature red blood cells (CD71 + erythroid cells) are physiologically abundant in newborns, cord blood, placenta and blood of pregnant women, with a wide range of immunological properties. This study demonstrates that these cells not only enhance HIV-1 infection/replication by reactive oxygen species in HIV-target cells (CD4 + T cells) but also bind to HIV and trans-infect the virus to the target cells in the presence of Tenofovir, an HIV drug. We found that these immature red blood cells are abundant in the blood of HIV-patients and anemic individuals. In addition, we observed a positive correlation between the levels of plasma viral load with the frequency of immature red blood cells in HIV-infected individuals. Therefore, our studies discover a novel role for these immature red blood in HIV pathogenesis, which encourages efforts to target these cells as adjuncts of current treatment strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.197
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes2
Has abstractyes

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