Innate Immune Reprogramming of Macrophages in the Parous Murine Mammary Gland
Bibliographic record
Abstract
Uncomplicated childbirth is associated with an increased risk of developing breast cancer (BC) five-to-ten years postpartum (postpartum breast cancer; PPBC) compared with age-matched nulliparous individuals. PPBC is also associated with a poor prognosis relative to nulliparous individuals with BC. Contrastingly, preeclampsia, an inflammatory pregnancy complication, protects against PPBC development. We hypothesize that differential parity-induced innate immune reprogramming of mammary gland macrophages may be associated with parity-associated increased PPBC risk and preeclampsia-associated protection against PPBC. Female BALB/c mice were mated with male C57Bl/6 mice to establish allogeneic pregnancies. On gestational day (GD) 10.5, dams were injected with saline (controls) or lipopolysaccharide (LPS; 20 μg/kg) to induce inflammatory pregnancy complications. Age-matched nulliparous controls also received LPS or saline. Following birth, parous mice were force-weaned on postnatal day (PD) 7 to induce synchronous involution. Macrophages were isolated from mammary glands upon euthanasia in pregnancy (GD 14.5), lactation (PD 7), involution (PD 10) and regression (PD 28), plated (4x104 cells/well) and exposed to a 23-hour secondary challenge (LPS; 100 ng/ml; Pam3Cys; 10 µg/ml). Cytokine concentrations in cell culture supernatant were assessed using a multiplex assay (Eve Technologies) and data were analyzed by two-way ANOVA with Tukey’s posthoc test. During involution, compared with supernatant from mammary gland macrophages of age-matched nulliparous saline-treated mice, supernatant from macrophages from parous saline-treated mice exhibited significantly increased interleukin (IL)-1β and tumour necrosis factor-α (TNF-α), and significantly decreased IL-6 following secondary challenge. TNF-α, IL-6 and IL-10 in supernatant from macrophages from parous LPS-treated mice was significantly decreased compared with parous saline-treated controls. Analysis of data collected during pregnancy, lactation and regression is ongoing to temporally evaluate reprogramming. These preliminary results demonstrate differential reprogramming in mammary gland macrophages relative to parity and inflammatory pregnancy complication status and rationalize understanding contributions of completion of a prior pregnancy on PPBC risk and progression.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".