Endometriosis through an immunological lens: a pathophysiology based in immune dysregulation
Bibliographic record
Abstract
Endometriosis (EMS) is an inflammatory, gynaecologic disease characterized by the growth of endometrial tissues outside the uterus. With no satisfactory therapies or non-invasive diagnostics available, a shift in perspectives on EMS pathophysiology is overdue. The implication of immune dysregulation in EMS pathogenesis and disease progression has been an evolving area of research, with numerous immune and inflammatory pathways identified. Traditional theories regarding the establishment of endometriotic lesions have lacked mechanistic explanations for their proliferation and survival until recent research unearthed the involvement of mesenchymal stem cell (MSC) and myeloid-derived suppressor cells (MDSCs) in a complex network of immune-endocrine signaling. The unique immunology of EMS is likely owing to estrogen dominance, as endocrine imbalance reliably cultivates immune dysregulation. Many of the phenomena observed in EMS parallel immune biology seen in various cancers, including accelerated somatic mutations in endometrial epithelial cells. Here, the high mutational load leads to EMS neoantigen development which potentially contributes to the lesion immune microenvironment. As well, EMS manifests comorbidity with several chronic inflammatory diseases that share common dysregulation of the interleukin-23 (IL-23)/IL-17 pathway (as seen in inflammatory bowel disease, psoriasis, and rheumatoid arthritis). EMS is especially relevant to the study of chronic pelvic pain (CPP) as 60% of EMS patients experience this symptom and chronic inflammation is believed to be central to the process of pain sensitization. Since the onset of the disease usually occurs in adolescence, and diagnosis only occurs years later once moderate to severe symptoms have developed, it is vital to innovate non-invasive diagnostic tools for earlier detection. Several potential biomarkers are being studied, including some cytokines, gene signatures, and extracellular vesicle (EV) signatures. By incorporating the immune perspectives of EMS into our research, approaches to diagnosis, and treatment solutions, the field has more promising avenues to clearly define EMS and offer patients relief.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".