Scoping review to assess the role of the immune system in the pathophysiology of vulvodynia and post-orgasmic illness syndrome
Bibliographic record
Abstract
INTRODUCTION: Disorders that affect sexual function, including vulvodynia and post-orgasmic illness syndrome (POIS), are under-reported and under-researched, leaving many patients without optimal treatment strategies. These conditions often present with inflammatory or allergic-type symptoms, such as itching, burning, and congestion. Immune system dysregulation, including mast cell (MC) dysfunction, has been proposed as a potential mechanism underlying these disorders. METHODS: A literature review was conducted on studies published from 2010 to 2025. Articles exploring the pathological, histopathological, pathophysiological, or etiological nature of vulvodynia and POIS were included. A total of 35 studies met the inclusion criteria and were analyzed to assess the role of immune responses in these disorders. RESULTS: The review highlighted a compelling relationship between immune factors and vulvodynia and POIS. Vulvodynia studies increasingly support a role for immune dysregulation, including altered T- and B-cell activity, elevated cytokines, MC activation, and localized immune differences. Post-orgasmic illness syndrome cases suggest an immunoallergic mechanism, particularly IgE-mediated. Yet, in both conditions, the literature reveals complex, heterogeneous pathophysiologies that are unlikely to be explained by immune mechanisms alone. CONCLUSION: The etiology of sexual disorders like vulvodynia and POIS remains poorly understood. However, the reviewed literature supports the hypothesis that both of these conditions may have an immunologic component to their etiology. Further research is necessary to elucidate these mechanisms fully and to develop evidence-based treatments.
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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 | 0.007 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.023 | 0.020 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".