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Avila-Vargas, I.

Publications and source records attributed to Avila-Vargas, I..

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Plasma Proteomic Profiling Identifies a Subset of HIV Elite Controllers with Inflammatory Profiles Resembling People Without HIV

Background: Elite controllers (ECs) are people with HIV (PWH) who suppress viral replication without antiretroviral therapy (ART). A subset, often termed exceptional elite controllers (EECs), harbor very small viral reservoirs, with few intact proviruses integrated into inactive chromosomal regions. Defining inflammatory signatures in ECs may clarify whether some approach a functionally cured state. Methods: We measured 384 plasma proteins in ART-naive ECs (n=62), ART-suppressed non-controllers (n=37), and people without HIV (PwoH) (n=50) using Olink proteomics, and compared proteomic profiles, clinical parameters, and intact reservoir data using FLIP-Seq. Hierarchical clustering identified ECs whose proteomic profiles most closely resembled PWoH; this subset was further analyzed using machine-learning approaches. Results: ART-suppressed non-controllers had higher inflammatory protein levels than ART-naive ECs, yet ECs still showed elevated inflammation and lower CD4:CD8 ratios compared with PWoH. Clustering analysis revealed a distinct subset of ECs (n=9) whose profiles closely matched those without HIV (ECs with PWoH-like proteomic profiles), a pattern not observed in ART-suppressed non-controllers. Compared to typical ECs, ECs with PWoH-like proteomic profiles had consistently lower IL-1{beta}, SCRN1, and BID, numerically lower intact proviral frequencies, and a high frequency of protective HLA alleles. Machine-learning analyses highlighted features that most strongly differentiated ECs with PWoH-like proteomic profiles from typical ECs, including reduced gut mucosal/intestinal epithelial-associated proteins, higher absolute CD4 counts, and lower levels of pro-inflammatory cytokines and cellular immune activation. Conclusions: These findings identify a subset of ECs with a PWoH-like inflammatory proteomic profile, accompanied by numerically lower intact HIV reservoirs and a high frequency of protective HLA alleles. Defining the mechanisms associated with this low-inflammatory state may provide insights into exceptional HIV control and inform strategies for durable HIV remission.

immunology↗