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SUMMARYThe thymus is essential for establishing adaptive immunity yet undergoes age-related atrophy leading to compromised immune responsiveness. The thymus is also extremely sensitive to acute insult and although capable of regeneration, this capacity declines with age. Focusing on non-hematopoietic stromal cells, and using single-cell and spatial transcriptomics, lineage-tracing, and advanced imaging, we discovered two atypical thymic epithelial cell (TEC) states that emerged with age. Age-associated (aa)TECs formed atypical high-density epithelial clusters that were devoid of thymocytes, an accretion of non-functional thymic tissue that worsened with age and exhibited features of partial epithelial-to-mesenchymal transition (EMT).In silicointeraction analysis revealed that aaTEC emergence drew tonic signals from other TEC populations at baseline, acting as a sink for TEC growth factors. Following damage, aaTEC expanded substantially, further perturbing trophic pathways, and correlating with defective regeneration of the involuted thymus. These findings define a unique feature of thymic involution linked to immune aging.

Hospitalized patients receiving hematopoietic cell transplants provide a unique opportunity to study how the human gut microbiome changes in response to perturbations, and how the resulting changes in the microbiome feedback on its living host. We previously compiled a large-scale longitudinal dataset of stool microbiome compositions from these patients and associated metadata1. In that dataset the microbiome analysis was limited to the taxonomic composition of the bacterial population obtained from 16S rRNA gene sequencing. Here, we augment those data with shotgun metagenomic sequences from a nested subset of 395 stool samples. We provide accession numbers that link each sample to the paired-end sequencing files deposited in a public repository, which can be directly accessed by the online services of PATRIC2 to be analyzed without the users having to download or transfer the files. We provide examples that show how shotgun sequencing enriches microbiome analyses beyond the taxonomic composition such as the analysis of gene functions including virulence factors and antibiotic resistances, and the assembly of genomes from metagenomic data.

Older humans and animals often exhibit reduced immune responses to infection and vaccination, and this often directly correlates to the numbers and frequency of naïve T (Tn) cells. We found such a correlation between reduced numbers of blood CD8+ Tn cells and severe clinical outcomes of West Nile virus (WNV) in both humans naturally exposed to, and mice experimentally infected with, WNV.To examine possible causality, we sought to increase the number of CD8 Tn cells by treating C57BL/6 mice with IL-7 complexes (IL-7C, anti-IL-7 mAb bound to IL-7), shown previously to efficiently increase peripheral T cell numbers by homeostatic proliferation. T cells underwent robust expansion following IL-7C administration to old mice increasing the number of total T cells (>four-fold) and NS4b:H-2Db-restricted antigen-specific CD8 T cells (two-fold). This improved the numbers of NS4b-specific CD8 T cells detected at the peak of the response against WNV, but not survival of WNV challenge. IL-7C treated old animals also showed no improvement in WNV-specific effector immunity (neutralizing antibody and in vivo T cell cytotoxicity). To test quantitative limits to which CD8 Tn cell restoration could improve protective immunity, we transferred graded doses of Ag-specific precursors into old mice and showed that injection of 5,400 (but not of 1,800 or 600) adult naïve WNV-specific CD8 T cells significantly increased survival after WNV. These results set quantitative limits to the level of Tn reconstitution necessary to improve immune defense in older organisms and are discussed in light of targets of immune reconstitution.

Allogeneic hematopoietic cell transplantation (allo-HCT) induces profound shifts in the intestinal bacterial microbiota. The dynamics of intestinal fungi and their impact on clinical outcomes have not yet been integrated into a model of microbiota function during allo-HCT. Here, we combined parallel high-throughput fungal ITS1 amplicon sequencing, bacterial 16S amplicon sequencing, and fungal cultures to reveal striking trans-kingdom dynamics and their association with patient outcomes. We saw that the overall density and the biodiversity of intestinal fungi were stable during allo-HCT, but the species composition changed drastically from day to day. We identified a subset of patients with fungal dysbiosis characterized by culture positivity, stable expansion of Candida parapsilosis complex species, and distinct trans-kingdom microbiota profiles. These patients had worse overall survival and higher transplant-related mortality independent of candidemia. Our data expand the clinical significance of the mycobiota and suggest that targeting fungal dysbiosis may help to improve long-term patient survival.

The gut microbiota influences the development and homeostasis of the mammalian immune system1–3, can alter immune cell compositions in mice4–7, and is associated with responses to immunotherapy that rely on the activity of peripheral immune cells8–12. Still, our understanding of how the microbiota modulates circulatory immune cells remains limited, particularly in humans where a lack of manipulative experiments makes inference challenging. Here we overcome this challenge by studying hundreds of hospitalized—and closely monitored—bone marrow transplantation patients as they recover from chemotherapy-induced immune ablation. This aggressive treatment causes large shifts in both circulatory immune cell and microbiota populations, allowing the relationships between the two to be studied simultaneously over time with unprecedented resolution. We analyzed daily changes in white blood cell counts from 2,235 patients, and 10,680 longitudinal fecal microbiota samples to identify bacterial genera consistently associated with those changes. Bayesian inference and validation across different patient cohorts revealed consistent associations between intestinal bacteria and peripheral immune cell dynamics in the context of immunomodulatory medications, clinical metadata and homeostatic feedbacks between peripheral immune cells. The quantification of validated microbiota associations enabled us to contrast the potency of fermentatively active, obligate anaerobic bacteria with that of medications with known immunomodulatory mechanism, and this way estimate the microbiota potential to alter peripheral immune cell dynamics directly in patients. Our analysis establishes and quantifies the link between the intestinal microbiota and immune cell dynamics in humans, with implications for microbiota-driven modulation of immunity and immunotherapies that rely on circulatory immune cells.

Dramatic microbiota changes and loss of commensal anaerobic bacteria are associated with adverse outcomes in hematopoietic cell transplantation (HCT) recipients. In this study, we demonstrate these dynamic changes at high resolution through daily stool sampling and assess the impact of individual antibiotics on those changes., Dramatic microbiota changes and loss of commensal anaerobic bacteria are associated with adverse outcomes in hematopoietic cell transplantation (HCT) recipients. In this study, we demonstrate these dynamic changes at high resolution through daily stool sampling and assess the impact of individual antibiotics on those changes. We collected 272 longitudinal stool samples (with mostly daily frequency) from 18 patients undergoing HCT and determined their composition by multiparallel 16S rRNA gene sequencing as well as the density of bacteria in stool by quantitative PCR (qPCR). We calculated microbiota volatility to quantify rapid shifts and developed a new dynamic systems inference method to assess the specific impact of antibiotics. The greatest shifts in microbiota composition occurred between stem cell infusion and reconstitution of healthy immune cells. Piperacillin-tazobactam caused the most severe declines among obligate anaerobes. Our approach of daily sampling, bacterial density determination, and dynamic systems modeling allowed us to infer the independent effects of specific antibiotics on the microbiota of HCT patients.