Tertiary lymphoid tissue develops during normal aging in mice and humans
Bibliographic record
Abstract
ABSTRACT Aging has multifaceted effects on the immune system in the context of systemic responses to specific vaccines and pathogens, but how aging affects tissue-specific immunity is not well-defined. Chronic bladder inflammation is highly prevalent in older women, but mechanisms by which aging promotes these pathologies remain unknown. Here we report distinct, age-associated changes to the immune compartment in the otherwise normal female (but not in male) mouse urinary bladder and parallel changes in older women with chronic bladder inflammation. In aged mice, the bladder epithelium became more permeable, and the homeostatic immune landscape shifted from a limited, innate immune-predominant surveillance to an inflammatory, adaptive immune-predominant environment. Strikingly, lymphoid cells were organized into tertiary lymphoid tissues, hereafter named bladder tertiary lymphoid tissue (bTLT). Analogous bTLTs were found in older women, many of whom had a history of recurrent urinary tract infection (UTI). Aged mice responded poorly to experimental UTI, experiencing spontaneous recurrences at higher rates than young mice. However, bTLT formation was dependent on aging and independent of infection. Furthermore, bTLTs in aged mice played a role in de novo antibody responses and urinary IgA production by recruitment of naive B cells that form germinal centers and mature into IgA-secreting plasma cells. Finally, TNFα was a key driver of bTLT formation, as aged TNFα -/- mice lacked bTLTs. Both aged TNFα -/- and wild type mice exhibited increased bladder permeability, suggesting that epithelial dysfunction may be an upstream mediator of chronic, age-associated bladder inflammation. Thus, bTLTs arise as a function of age and may underlie chronic, age-associated bladder inflammation. Our model establishes a platform for further investigation of age-association tissue inflammation and translation to new treatment strategies. One Sentence Summary Mice develop bladder tertiary lymphoid tissue (bTLT) during aging that is dependent on TNFα and independent of urinary tract infection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".