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Biology subjects

Sawe, F.

Publications and source records attributed to Sawe, F..

3 recordsLinked to original sources

Unique CD8+ T Cell Populations Expand during ART and Predict Delayed HIV-1 Rebound

Antiretroviral therapy (ART) suppresses HIV-1 replication but does not eliminate the latent reservoir, resulting in viral rebound with variable kinetics after treatment interruption. How the immune cell states established during ART influences timing of rebound is not fully understood. In this study, we analyzed 111 participants across multiple cohorts, with 188 single-cell multiomic samples generated and integrated for joint analysis. Longitudinal profiling of peripheral blood mononuclear cells from individuals with acute HIV-1 infection on ART, spanning early infection through sustained therapy and pre-analytical treatment interruption, revealed that time to viral rebound was driven not by global changes in immune composition but by dynamic transcriptional programs within CD8+ T cells. During ART, there was a dramatic expansion of a unique cluster of poised naive CD8+ T cells, with a distinct immune state positioned upstream of stem-like memory CD8+ T cells along a cell differentiation continuum. The differential abundance of this poised naive CD8+ T cell population was enriched in participants with delayed rebound and showed strong predictive power for discriminating time to rebound. Mechanistically, the poised naive CD8+ T cells exhibited features of a precursor phenotype of stem-like memory CD8+ T cells, and showed activation of the TNF-NF-{kappa}B signaling pathway and increased chromatin accessibility at AP-1 motifs. Notably, both poised naive CD8+ T cells and stem-like memory CD8+ T cells were consistently enhanced during ART in both acute and chronic infection. In participants who received investigational therapeutic vaccination, the dominant predictive signal shifted downstream along the differentiation trajectory, with stem-like memory CD8+ T cells emerging as the primary determinant of delayed rebound. Together, these findings identify a dynamic CD8+ T cell state continuum as a central determinant of HIV-1 rebound, even in the absence of antigen-specificity, where ART establishes a predictive poised naive state that can be further leveraged by vaccination to enhance protective stem-like memory responses.

immunology↗

Long-Read Deep Sequencing Reveals High Rates of Multilineage Transmission and Rapid Viral Population Changes in Acute HIV Infection

Understanding the selective forces acting upon HIV early in infection is crucial to design prevention strategies. By leveraging deep sequencing and the short diagnostic intervals of the FRESH and RV217 cohorts (median 4 days) between the last-negative and first-positive RNA tests, we captured a precise and early snapshot of acute HIV infection. The frequency of multiple transmitted viruses of 38% in these as well as placebo recipients from the AMP trials was higher than previously published, with the true frequency likely to be higher. The relative abundance of lineages fluctuated substantially over time in two-thirds of the multilineage infections, generating uncertainty in identifying the specific viruses that were transmitted and founding the infection. Viral populations exhibited diversity and selection on the Gag and Env proteins at the earliest times examined, with sites inferred to be undergoing negative selection most evident. These data may help explain vaccination failures and provide new targets for prevention.

microbiology↗

Full-length next-generation sequencing of 11 HLA loci of more than 1000 individuals from clinical cohorts in East and West Africa

Human Leukocyte Antigen (HLA) loci have been implicated in several diseases from different world populations, including HIV-1. It is necessary to characterize HLA allele variation at the population level prior to investigating associations linked to human diseases. In global databases, limited high-resolution HLA allele types generated by next-generation sequencing (NGS) have been described for populations from African countries. We sought to expand our HLA NGS database to include a total of 1023 participants from multiple HIV clinical studies using full-length HLA genotyping by NGS. Collectively we describe HLA genotypes of individuals from Kenya (n=375), Uganda (n=338), Nigeria (n=139), Tanzania (n=89), and Mozambique (n=82). Overall, we identified 371 unique HLA alleles across 11 loci with the most frequent at each locus being A*02:01:01, B*53:01:01, C*04:01:01, C*06:02:01, DPA1*01:03:01, DPB1*01:01:01, DQA1*01:02:01, DQB1*06:02:01, DRB1*15:03:01, DRB3*02:02:01, DRB4*01:03:01, and DRB5*01:01:01. A total of 25 novel alleles were identified, including 4 with non-synonymous changes affecting the peptide binding groove of HLA molecules. This expansion of NGS based HLA data at the African population level will improve our understanding of human genetic variation and provide insights for vaccine development and targeted personalized therapies.

genetics↗