Time-resolved single virus tracking and spectral imaging to understand HIV-1 entry and fusion

LC3B conjugation machinery promotes autophagy-independent HIV-1 entry in CD4+ T lymphocytes

HIV-1 entry into CD4+ T lymphocytes relies on the viral and cellular membranes' fusion, leading to viral capsid delivery in the target cell cytoplasm. Atg8/LC3B conjugation to lipids, process named Atg8ylation mainly studied in the context of macroautophagy/autophagy, occurs transiently in the early stages of HIV-1 replication in CD4+ T lymphocytes. Despite numerous studies investigating the HIV-1-autophagy interplays, the Atg8ylation impact in these early stages of infection remains unknown. Here we found that HIV-1 exposure leads to the rapid LC3B enrichment toward the target cell plasma membrane, in close proximity with the incoming viral particles. Furthermore, we demonstrated that Atg8ylation is a key event facilitating HIV-1 entry in target CD4+ T cells. Interestingly, this effect is independent of canonical autophagy as ATG13 silencing does not prevent HIV-1 entry. Together, our results provide an unconventional role of LC3B conjugation subverted by HIV-1 to achieve a critical step of its replication cycle.Abbreviations: BafA1: bafilomycin A1; BlaM: beta-lactamase; CD4+ TL: CD4+ T lymphocytes; PtdIns3K-BECN1 complex: BECN1-containing class III phosphatidylinositol 3-kinase complex; Env: HIV-1 envelope glycoproteins; HIV-1: type 1 human immunodeficiency virus; PM: plasma membrane; PtdIns3P: phosphatidylinositol-3-phosphate; VLP: virus-like particle.

Mapping Extracellular Space Features of Viral Encephalitis to Evaluate the Proficiency of Anti-Viral Drugs

The extracellular space (ECS) is an important barrier against viral attack on brain cells, and dynamic changes in ECS microstructure characteristics are closely related to the progression of viral encephalitis in the brain and the efficacy of antiviral drugs. However, mapping the precise morphological and rheological features of the ECS in viral encephalitis is still challenging so far. Here, a robust approach is developed using single-particle diffusional fingerprinting of quantum dots combined with machine learning to map ECS features in the brain and predict the efficacy of antiviral encephalitis drugs. These results demonstrated that this approach can characterize the microrheology and geometry of the brain ECS at different stages of viral infection and identify subtle changes induced by different drug treatments. This approach provides a potential platform for drug proficiency assessment and is expected to offer a reliable basis for the clinical translation of drugs.