Open Access
Med Sci (Paris)
Volume 36, Number 10, Octobre 2020
Page(s) 855 - 858
Section Le Magazine
Published online 07 October 2020
  1. Bell LCK, Noursadeghi M. Pathogenesis of HIV-1 and Mycobacterium tuberculosis co-infection. Nat Rev Microbiol 2018 ; 16 : 80–90. [CrossRef] [PubMed] [Google Scholar]
  2. Dupont M, Souriant S, Balboa L, et al. Tuberculosis-associated IFN-I induces Siglec-1 on tunneling nanotubes and favors HIV-1 spread in macrophages. eLife 2020; 9. [Google Scholar]
  3. Sattentau QJ, Stevenson M. Macrophages and HIV-1: an unhealthy constellation. Cell Host Microbe 2016 ; 19 : 304–310. [CrossRef] [PubMed] [Google Scholar]
  4. Souriant S, Balboa L, Dupont M, et al. Tuberculosis exacerbates HIV-1 infection through IL-10/STAT3-dependent tunneling nanotube formation in macrophages. Cell Rep 2019 ; 26 : 3586–99 e7. [Google Scholar]
  5. Lastrucci C, Bénard A, Balboa L, et al. Tuberculosis is associated with expansion of a motile, permissive and immunomodulatory CD16+ monocyte population via the IL-10/STAT3 axis. Cell Res 2015 ; 25 : 1333–1351. [CrossRef] [PubMed] [Google Scholar]
  6. Dupont M, Souriant S, Lugo-Villarino G, et al. Tunneling nanotubes: intimate communication between myeloid cells. Front Immunol 2018 ; 9 : 1–6. [CrossRef] [PubMed] [Google Scholar]
  7. Crocker PR, Paulson JC, Varki A. Siglecs and their roles in the immune system. Nat Rev Immunol 2007 ; 7 : 255–266. [CrossRef] [PubMed] [Google Scholar]
  8. Pino M, Erkizia I, Benet S, et al. HIV-1 immune activation induces Siglec-1 expression and enhances viral trans-infection in blood and tissue myeloid cells. Retrovirology 2015 ; 12 : 37. [CrossRef] [PubMed] [Google Scholar]
  9. Martinez-Picado J, McLaren PJ, Erkizia I, et al. Identification of siglec-1 null individuals infected with HIV-1. Nat Commun 2016; 7. [Google Scholar]
  10. Souriant S, Dupont M, Neyrolles O, et al. Les nanotubes membranaires des macrophages infectés par le VIH-1: un moyen pour le virus de se propager plus vite dans un contexte de tuberculose. Med Sci (Paris) 2019 ; 35 : 825–827. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.