Evidence map›Paper›PMID 26441404›Full record

ArticleeLife2015

Cell-to-cell infection by HIV contributes over half of virus infection.

Shingo Iwami, Junko S Takeuchi, Shinji Nakaoka, Fabrizio Mammano, François Clavel, Hisashi Inaba, Tomoko Kobayashi, Naoko Misawa, Kazuyuki Aihara, Yoshio Koyanagi and 1 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 164 citations in OpenAlex.

  1. Review
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  3. Spatially structured models of viral dynamics: a scoping review.Microbiology and molecular biology reviews : MMBR · 2025
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Shingo IwamiMathematical Biology Laboratory, Department of Biology, Faculty of Sciences, Kyushu University, Fukuoka, Japan.
Junko S TakeuchiLaboratory of Viral Pathogenesis, Institute for Virus Research, Kyoto University, Kyoto, Japan.
Shinji NakaokaGraduate School of Medicine, University of Tokyo, Tokyo, Japan.
Fabrizio MammanoINSERM-Genetics and Ecology of viruses, Hospital Saint Louis, Paris, France.ORCID http://orcid.org/0000-0002-9193-7696
François ClavelINSERM-Genetics and Ecology of viruses, Hospital Saint Louis, Paris, France.
Hisashi InabaGraduate School of Mathematical Sciences, University of Tokyo, Tokyo, Japan.
Tomoko KobayashiLaboratory for Animal Health, Department of Animal Science, Faculty of Agriculture, Tokyo University of Agriculture, Kanagawa, Japan.
Naoko MisawaLaboratory of Viral Pathogenesis, Institute for Virus Research, Kyoto University, Kyoto, Japan.
Kazuyuki AiharaInstitute of Industrial Science, University of Tokyo, Tokyo, Japan.
Yoshio KoyanagiLaboratory of Viral Pathogenesis, Institute for Virus Research, Kyoto University, Kyoto, Japan.
Kei SatoCREST, Japan Science and Technology Agency, Saitama, Japan.
Kyoto University · JPInserm · FRKyushu University · JPThe University of Tokyo · JPTokyo University of Agriculture · JPTokyo University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-to-cell viral infection, in which viruses spread through contact of infected cell with surrounding uninfected cells, has been considered as a critical mode of virus infection. However, since it is technically difficult to experimentally discriminate the two modes of viral infection, namely cell-free infection and cell-to-cell infection, the quantitative information that underlies cell-to-cell infection has yet to be elucidated, and its impact on virus spread remains unclear. To address this fundamental question in virology, we quantitatively analyzed the dynamics of cell-to-cell and cell-free human immunodeficiency virus type 1 (HIV-1) infections through experimental-mathematical investigation. Our analyses demonstrated that the cell-to-cell infection mode accounts for approximately 60% of viral infection, and this infection mode shortens the generation time of viruses by 0.9 times and increases the viral fitness by 3.9 times. Our results suggest that even a complete block of the cell-free infection would provide only a limited impact on HIV-1 spread.

Indexed as

Virus InternalizationVirus ReleaseHIV-1HIV InfectionsHumansJurkat CellsModels, Theoreticalbasic reproduction numbercell-free infectioncell-to-cell infectioncomputational biologyHIV-1infectious diseasemathematical modelmicrobiologysystems biologyviruses

Identifiers

PMID26441404
PMCPMC4592948
OpenAlexW2196026454

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.