Simon Mallal

Mutations in human immunodeficiency virus type 1 (HIV-1) enable the virus to evade recognition and killing by HLA-restricted T cells. These viral adaptations are specific to the HLA type of individuals and are therefore evident as HLA allele-HIV sequence associations at the population level. Most studies of HLA associations have been cross-sectional and may not capture selective changes that have accumulated to reach fixation at the population level, with potential impacts on viral replication and clinical outcomes. In this study, we examined the population from Western Australia to determine if ongoing evolution has occurred over more than 30 years of observation. In addition, we utilised HIV-1 subtype B viral load records (one measurement per individual) from a five-year period early in the epidemic (1997–2002) compared with recent years (2017–2022) to determine whether any population level HIV-1 adaptation has functional impact. Results showed that 120 amino acid positions across the Gag, Pol and Nef genes showed significant change in proportion over time. Of these positions, 35% included one or more amino acids reported as HLA-associated viral adaptations or putative compensatory adaptations. Over two thirds of these adaptations increased in proportion over time, with eight becoming the consensus sequence. We also observed the accumulation of specific compensatory mutations within epitopes presented by protective HLA alleles. There was a significant increase in baseline viral load between the two time periods examined (p < 0.001, OR = 2.4). These findings provide evidence of ongoing HIV-1 adaptation to human immune responses at the population level, with a likely increase in virulence, as captured by viral load. The enrichment of viral adaptations within circulating strains may lead to loss of immune targets for prevalent immune responses and has important implications for vaccine development and cure strategies.

Mammarenaviruses are classified into Old World and New World viruses (Old World arenaviruses [OWAs] and New World arenaviruses [NWAs]). Characterization of antigens recognized by human T cells is essential for identifying immunodominant targets, informing vaccine design, and performing immunological assessments. Here, we select the Lassa virus (LASV) as a prototype OWA to map the human CD4 T cell epitope repertoire. We then calculate conservation in different LASV lineages and other representative OWAs and NWAs and define conserved T cell epitope regions (CTERs) using Lassa as the OWA prototype and Junin as the NWA prototype. We show that these CTERs are able to broadly cross-recognize other OWA or NWA sequences. We validate our findings in humans immunized with an experimental glycoprotein complex (GPC) LASV vaccine or infected with lymphocytic choriomeningitis mammarenavirus (LCMV), as well as in the mouse model immunized with a stabilized GPC vaccine candidate. Our results on mammarenavirus-specific T cell immunity contribute to guiding the development of next-generation mammarenavirus vaccines.

Despite effective antiretroviral therapy, HIV persists in the central nervous system (CNS) and may contribute to neuroinflammation and cognitive impairment. How viral persistence, immune responses, and regional CNS T-cell architecture relate to cognitive functioning remains unclear. We performed a cross-sectional, multi-compartmental immune-genomic study in 12 people with HIV on long-term viral suppression enrolled in the Last Gift rapid autopsy program. Quantitative HIV reservoir measures (total-episomal DNA, unspliced-multiply spliced RNA) and paired αβ T-cell receptor repertoire (TCRR) sequencing were performed in peripheral blood mononuclear cells and five CNS regions: hippocampus, frontal motor cortex, basal ganglia, occipital cortex, and spinal cord. Cognitive performance was assessed within one year of death. Tissue-resolved associations between cognition and HIV reservoir, TCRR architecture (richness, diversity, clonality), and pathogen-specific T-cell clonotypes (HIV, CMV, EBV, and riboflavin derivatives) were evaluated using participant-clustered multivariable models. False discovery rate was applied. HIV DNA and RNA were detectable across all tissues but were not associated with cognitive performance or TCRR metrics. Peripheral TCRR architecture was unrelated to cognition, whereas higher TCRR richness and diversity in the hippocampus and spinal cord were associated with worse verbal, motor, and attention/working memory scores. Higher TCRR richness in the spinal cord was also associated with better recall. T-cell receptor clonotype frequency distributions differed across CNS regions, consistent with regional immune compartmentalization. Epitope-inference analyses revealed pathogen-dependent associations: higher number of HIV-specific T-cell clonotypes in the basal ganglia was associated with better global and attention/working memory scores, whereas riboflavin derivative-specific clonotypes in frontal motor cortex were associated with better motor performance. CMV-specific clonotypes showed nominal associations with worse learning and memory. CNS-localized T-cell receptor architecture and antigenic imprinting related more closely to neurocognitive variability than quantitative measures of HIV persistence under viral suppression, highlighting regional specialization of T-cell responses as a potential correlate of brain health.

COVID-19 has individualized disease trajectories during both acute infection and long-term recovery (“long COVID”), highlighting the need for biomarkers for the disease’s heterogeneity. In this study, we introduce “metabo-time,” a quantitative metabolic signature derived from serum metabolites and lipoproteins measured via nuclear magnetic resonance (NMR) spectroscopy. Metabo-time was stablished across two longitudinal and demographically diverse cohorts and validated in independent populations. It captures patient-specific metabolic states throughout the disease course. Longitudinally, it is disrupted during acute infection and normalizes during recovery, mirroring systemic oxidative stress and immune response dynamics. Importantly, metabo-time outperforms actual recovery time in predicting patients’ individualized normalization of oxidative stress. At baseline, it distinguishes infection severity and is associated with transcriptional activity in the upper airway. These findings establish metabo-time as a robust marker for tracking COVID-19 heterogeneity and progression, with potential utility for stratifying patients and informing therapeutic strategies, particularly in the context of SARS-CoV-2 recovery.

Paramyxoviruses comprise a diverse family of viruses that threaten global human health through direct infection and zoonotic transmission. Understanding adaptive immune responses to these viruses is critical for characterizing host-pathogen interactions and evaluating vaccine performance. Here, we systematically map human CD4+ T cell epitopes across Nipah and measles viruses, two prototypic members of the Paramyxoviridae family. We identify broad epitope repertoires, including 186 Nipah and 288 measles epitopes recognized in multiple donors. Epitopes are characterized for HLA binding and inferred restrictions, and broader HLA binding correlates with immunodominance. We observe overlapping T cell targets between viruses, with N and F proteins immunodominant in both and L additionally dominant in Nipah. We define conserved T cell epitope regions (CTERs) in Nipah virus that encompass 17% of the proteome, capture over 50% of T cell responses, show high conservation across different Henipaviruses, and elicit broadly cross-reactivity, supporting broad population coverage.
[Display omitted]
•Systematic mapping reveals broad CD4+ T cell epitopes in Nipah and measles•HLA binding promiscuity correlates with epitope immunodominance•Conserved T cell epitope regions (CTERs) capture over 50% of Nipah T cell responses•CTERs elicit cross-reactive T cells across diverse Paramyxoviruses
Tarke et al. systematically map CD4+ T cell epitopes in measles and Nipah viruses, revealing broad and overlapping immune targets. They define conserved T cell epitope regions (CTERs) that drive cross-reactive T cell responses across Paramyxoviruses, providing a framework for vaccine strategies that enhance population coverage and pandemic preparedness.

Mutations in human immunodeficiency virus type 1 (HIV-1) enable the virus to evade recognition and killing by human leucocyte antigen (HLA)-restricted T cells. These viral adaptations are specific to the HLA type of individuals and are therefore evident as HLA allele-HIV sequence associations at the population level. Most studies of HLA associations have been cross-sectional and may not capture selective changes that have accumulated to reach fixation at the population level, with potential impacts on viral replication and clinical outcomes. In this study, we examined the population from Western Australia, where HLA-HIV-1 associations were first demonstrated, to determine if ongoing evolution has occurred over more than 30 years of observation.
Cross-sectional HIV-1 subtype B sequences sampled at two time points, early in the epidemic (1992 - 2002, n = 182) and recently (2017 - 2022, n = 119) was utilised to examine HIV-1 evolutionary dynamics overtime. In addition, HIV-1 subtype B viral load records (one measurement per individual) from a five-year period early in the epidemic (1997 - 2002, n = 673) were compared with recent data (2017 - 2022, n = 363) to determine whether any population level HIV-1 adaptation has functional impact.
The analysis identified 120 amino acid positions across the Gag, Pol and Nef genes that showed significant change in proportion over time, with most (100/120; 83.3%) showing an increase in the proportion of one or more of the non-consensus amino acids. Of these positions, 35% (42/120) included one or more amino acids (48; 34 in Pol, 9 in Gag and 5 in Nef) reported as HLA-associated viral adaptations (35/48; 72.9%) or putative compensatory adaptations (11/48, 22.9%). Over two thirds of these adaptations (68.8%; 33/48) increased in proportion over time (range 5.8% to 46%), with eight becoming the consensus sequence. We also observed the accumulation of specific compensatory mutations within epitopes presented by protective HLA alleles. Other accumulated non-consensus amino acid changes (38/120) were predicted to weaken the peptide-HLA binding affinity of known HIV T cell epitopes, suggesting that the previously published list of HLA-associated viral adaptations used in our study was not exhaustive. Only two Pol reverse transcriptase non-nucleoside reverse transcriptase inhibitor (NNRTI) resistance mutations showed a significant change in proportion over time (K256Q [K101Q in reverse transcriptase region]; 22.9%, P-adjusted <0.001 and K258N [K103N in reverse transcriptase region]; 7.7%, P-adjusted = 0.020). Notably, we highlight the significant accumulation of adaptations (Gag: R76K, 40.8%, P-adjusted <0.001; H219Q, 25.8%, P-adjusted = 0.020 and R286K, 24.4%, P-adjusted = 0.036) that confer adaptation to both HLA-restricted T cell immune responses and antiretroviral therapy. There was a significant increase in baseline viral load between the two time periods examined (P ⟨0.001, OR = 2.4).
These findings provide evidence of ongoing HIV-1 adaptation to human immune responses at the population level, with a likely increase in virulence, as captured by viral load. The enrichment of viral adaptations within circulating strains may lead to loss of immune targets for prevalent immune responses and has important implications for vaccine development and cure strategies.

Co-trimoxazole is a leading global cause of severe cutaneous adverse drug reactions (SCAR) including Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) and drug reaction with eosinophilia and systemic symptoms (DRESS). Co-trimoxazole-induced SCAR are associated with HLA class I alleles including HLA-B*13:01 and HLA-B*38:02 in Southeast Asian (SEA) populations. However, the global generalizability of these associations is unknown but critical for population-appropriate risk stratification and diagnosis.
To determine HLA risk factors associated with co-trimoxazole-induced SJS/TEN and DRESS in populations from the United States (US) and South Africa (SA).
We performed high-resolution HLA typing on dermatologist-adjudicated co-trimoxazole-induced SCAR patients in the US (n=63) and SA (n=26) compared to population controls. Peptide binding and docking analyses were performed using MHCcluster2.0 and CB-Dock2.
In a multiple logistic regression model, HLA-B*44:03 (Pc<0.001, OR: 4.08), HLA-B*38:01 (Pc<0.001, OR: 5.66), and HLA-C*04:01 (Pc=0.003, OR: 2.50) were independently associated with co-trimoxazole-induced SJS/TEN in the US. HLA-B*44:03 was also associated with co-trimoxazole-induced DRESS in SA (Pc=0.019, OR: 10.69). Distinct HLA-B variants with shared peptide binding specificities (SPBS) and HLA-C*04:01 identified 94% and 78% of co-trimoxazole-induced SJS/TEN and DRESS in the US, respectively. The SEA risk allele HLA-B*13:01, with SPBS to HLA-B*44:03, was identified in just 1/63 US SCAR patients.
HLA alleles with SPBS to SEA-related risk alleles including HLA-B*44:03 (SPBS with HLA-B*13:01) and HLA-B*38:01 (SPBS with HLA-B*38:02) but also HLA-C*04:01 predisposed to co-trimoxazole-induced SCAR in the US and SA. These findings provide biological plausibility and strategies for global risk prediction and diagnosis of co-trimoxazole-induced SCAR.
HLA alleles including HLA-B*13:01 and HLA-B*38:02 are risk factors for co-trimoxazole-induced SCAR in Asian populations. However, the generalizability of these associations to other global populations is unknown but critical for population-appropriate risk stratification and diagnosis.
HLA alleles with shared peptide binding specificities (SPBS) to Asian-related risk alleles including HLA-B*44:03 (SPBS with HLA-B*13:01) and HLA-B*38:01 (SPBS with HLA-B*38:02) but also HLA-C*04:01 predisposed to co-trimoxazole-induced SCAR in the US and South Africa.
HLA alleles previously associated with co-trimoxazole-induced SCAR do not identify risk across populations. However, HLA alleles with SPBS provide biological plausibility and strategies for global and population-appropriate clinical risk stratification and diagnosis of cotrimoxazole-induced SCAR.

Early delineation of host immune responses at the moment of Mycobacterium tuberculosis (Mtb) exposure and infection is critical to identify individuals at risk of progressing to active tuberculosis (TB). We performed single-cell transcriptional profiling of over 500,000 peripheral blood mononuclear cells from 57 HIV-negative close contacts of TB cases in Brazil, including 25 individuals who developed active disease within two years (progressors) and 32 matched controls who remained disease-free (non-progressors). Cells were stimulated separately with the MTB300 peptide pool or irradiated Mtb (gRV), enabling resolution of antigen-reactive states across adaptive (CD4⁺ T-cells expressing abundant cytokines including IFNG, TNF, and IL17F) and trained-innate lineages, such as NK cells (producing GM-CSF, IFNG, CCL3, CCL4) and monocytes (GM-CSF, IL12B, IL36G). Progressors exhibited early hyper-metabolic CD4⁺ T-cell programs and proliferative NK cell signatures, whereas non-progressors preferentially upregulated complement activation and CCL3/4-driven chemokine signaling in monocytes. Notably, among progressors, gene expression profiles within antigen-reactive CD4⁺ T-cells and monocytes predicted the timing of progression to active TB. Together, these findings reveal high frequencies and functional diversity of antigen-reactive cells in Mtb-exposed individuals and nominate tractable immune correlates for the rational design of next-generation TB vaccines.

BACKGROUND:
Idiopathic subglottic stenosis (iSGS) is a rare fibrotic disease of the proximal airway affecting adult White women nearly exclusively. Life-threatening ventilatory obstruction occurs secondary to pernicious subglottic mucosal scar. Disease rarity and wide geographic patient distribution have previously limited substantive mechanistic investigation into iSGS pathogenesis.

STUDY DESIGN:
Harnessing pathogenic mucosa from an international iSGS patient cohort and single-cell RNA sequencing, we provide an unbiased characterization of the cell subsets present in the proximal airway scar and detail their molecular phenotypes.

RESULTS:
Airway epithelium in patients with iSGS is depleted of basal progenitor cells and the residual epithelial cells acquire a mesenchymal phenotype. Observed displacement of bacteria beneath the lamina propria provides functional support for the molecular evidence of epithelial dysfunction. Matched superficial and deep tissue microbiomes support displacement of the native microbiome into the lamina propria of patients iSGS rather than disrupted bacterial community structure. However, animal models confirm that bacteria are necessary for pathologic proximal airway fibrosis and suggest an equally essential role for host adaptive immunity. Human samples from iSGS airway scar demonstrate adaptive immune activation in response to the proximal airway microbiome of both matched patients with iSGS and healthy controls. Clinical outcome data from patients with iSGS suggests that surgical extirpation of airway scar and reconstitution with unaffected tracheal mucosa halts the progressive fibrosis.

CONCLUSIONS:
Our novel data support an iSGS disease model in which epithelial alterations facilitate microbiome displacement, dysregulated immune activation, and localized fibrosis. Overall, these results refine our understanding of iSGS and implicate shared pathogenic mechanisms with distal airway fibrotic diseases.