Background & Aims
Endometriosis-associated pain (EAP) is common. However, there is little relationship between the severity of disease and pain symptoms, with ~ 50% continuing to suffer chronic pain despite optimum treatment of their endometriosis as per current guidance. There is therefore an urgent need for novel therapeutic approaches, frequently necessitating preclinical investigation. It is not currently well understood to what extent preclinical models of endometriosis reflect the phenotype of women with EAP, potentially contributing to failed translational efforts.
Here we use data from the Translational Research in Pelvic Pain (TRiPP) project to explore differences between women with EAP and pain-free controls in a variety of pain-relevant measures. We then consider how well these relate to key relevant assessments of a selection of mouse models of endometriosis. We hypothesised that the preclinical models would only reflect some of the differences observed clinically.
Methods
Women with EAP and pain-free controls were recruited from existing cohorts in Oxford and Boston (EAP (N=43) and Control (N=50)). They completed a set of pain-relevant validated questionnaires and underwent physiological testing including assessments of autonomic nervous system activity, sensory profiling, bladder sensitivity and 24 hour and stress response cortisol profiling. Statistical analysis using parametric testing and Bonferroni correction was performed on SPSS software.
Preclinical mouse models of endometriosis were explored at 4 sites (Edinburgh, Berlin, Valencia and Osong-euo). Assessments were made of both evoked responses and home cage activity. Assessments considered most reflective of those used in the clinical study were selected for comparison.
Results
We found significant differences between the EAP group and pain-free controls in a variety of pain-relevant measures. This included significantly higher levels of pain interference with daily life (p<0.001), fatigue (p<0.001), anxiety (p=0.005) and pain catastrophising (p<0.001) particularly on the helplessness subscales (p<0.001) and worse sleep quality (p=0.002). There were no significant differences in assessments of the autonomic nervous or stress systems (ECG and cortisol respectively). However, QST analysis revealed that the EAP group had significant loss of function for thermal sensory limen at the abdomen (p=0.04) but not in other pain threshold measures. Analysis of preclinical data demonstrates variation in pain-relevant assessments between models. However, both evoked and non-evoked differences could be seen in comparison to sham models. This included reduced locomotor activity and social interactions in the activity phase of the animals during the lights-off time period
Conclusions
Overall, we demonstrate that differences between those with EAP and pain-free controls are broader than just those traditionally considered as endometriosis symptoms. This highlights the need to consider areas such as fatigue and psychological wellbeing in comprehensive treatment plans. Our preclinical analysis, emphasises the need to carefully consider the preclinical model used in translational investigations to ensure it reflects the clinical situation. However, non-evoked data suggests that at least some of these models may have utility in reflecting the impact EAP has on women’s lives in addition to recreation of the pathology.
References
Demetriou, Lysia, et al. “Deep phenotyping of women with endometriosis-associated pain and bladder pain syndrome: the TRiPP (Translational Research in Pelvic Pain) study protocol.” medRxiv (2022): 2022-05.
Demetriou, Lysia, et al. “Clinical profiling of specific diagnostic subgroups of women with chronic pelvic pain.” Frontiers in reproductive health 5 (2023): 1140857.
Presenting Author
Lysia Demetriou
Poster Authors
Lysia Demetriou
PhD
University of Oxford
Lead Author
Lydia Coxon
University of Oxford
Lead Author
Paulina Nunez-Badinez
Lead Author
Ioannis Simitsidellis
University of Edinburgh
Lead Author
Raul Gomez
INCLIVA Biomedical Research Institute
Lead Author
Claire E Lunde
University of Oxford
Lead Author
Danielle Perro
Lead Author
Michal Krassowski
University of Oxford
Lead Author
Kurtis Garbutt
University of Oxford
Lead Author
Allison Vitonis
Harvard University
Lead Author
Lars Arendt-Nielsen
PhD
Aalborg University
Lead Author
Qasim Aziz
Queen Mary Univesity
Lead Author
Judy Birch
Pelvic Pain Support Network
Lead Author
Andrew Horne
University of Edinburgh
Lead Author
Anja Hoffman
Bayer AG
Lead Author
Patrick Sweeney
Naason Science
Lead Author
Christian Becker
University of Oxford
Lead Author
Francisco Cruz
University of Porto
Lead Author
Stacey Missmer
Michigan State University
Lead Author
Krina Zondervan
University of Oxford
Lead Author
Christine Sieberg
Harvard University
Lead Author
Philippa Saunders
University of Edinburgh
Lead Author
Jens Nagel
Merz Therapeutics GmbH, Frankfurt
Lead Author
Katy Vincent DPhil BSc MBBS MRCOG
University of Oxford
Lead Author
Topics
- Specific Pain conditions/Pain in Specific Populations: Gynecological Pain