The role of monocytes, macrophages and the microbiota in age-associated inflammation during the steady state and anti-bacterial immunity
Bibliographic record
Abstract
Inflammaging is a hallmark of human aging. Defined as low-grade, chronic inflammation, it is characterized by heightened proinflammatory cytokines in the blood and tissues and predicts morbidity and mortality. Despite this, the etiology of inflammaging and its role in infection have remained elusive, an issue this thesis addressed. First, we provided a comprehensive overview of an intranasal Streptococcus pneumoniae colonization model (Chapter 2). We described in detail the colonization technique, and demonstrated how to isolate and phenotype recruited cells, quantify bacterial load and measure production of immune mediators in the nasopharynx. Since both myeloid cell recruitment and tumour necrosis factor (TNF) production were increased following S. pneumoniae colonization with age, we investigated whether TNF directly augmented monocyte frequency (Chapter 3). TNF increased CCR2 expression on monocytes in old mice, leading to their enhanced egress from the bone marrow, resulting in enrichment of this population in the circulation. Monocyte numbers directly influenced plasma IL-6 levels, and this negatively impacted anti-bacterial responses, as monocyte blockade improved pneumococcal clearance in old mice. Lastly, to better understand the fundamental source of inflammaging, we studied the impact of the host microbiome on its development. This work was rooted in Elie Metchnikoff’s early predictions that leakage of intestinal bacterial products could dysregulate macrophage function, resulting in inflammation that would progress aging (Chapter 4). We showed that old mice had increased intestinal permeability, aberrant expression of cellular junction genes and increased microbial translocation from the gut to the blood. Germ-free mice lived longer than their conventionally colonized counterparts, and were protected from the development of inflammaging and defective macrophage function. Together, these studies resolve a major disparity in the field by demonstrating that systemic TNF production is initiated by increased levels of circulating bacterial products, driving functional defects in myeloid cells, which ultimately impairs anti-bacterial immunity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".