Standardized protocol for quantification of nerve bundle density as a biomarker for endometriosis
IntroductionWe propose a standardized protocol for measurement of nerve bundle density in endometriosis as a potential biomarker, including in deep endometriosis (DE), ovarian endometriomas (OMA) and superficial peritoneal endometriosis (SUP).MethodsThis was a prospective cohort of surgically excise...
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Frontiers Media S.A.
2023-11-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/frph.2023.1297986/full |
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author | Gerbrand Zoet Dwayne R. Tucker Dwayne R. Tucker Natasha L. Orr Natasha L. Orr Fahad T. Alotaibi Fahad T. Alotaibi Yang Doris Liu Heather Noga Heather Noga Martin Köbel Paul J. Yong Paul J. Yong Paul J. Yong |
author_facet | Gerbrand Zoet Dwayne R. Tucker Dwayne R. Tucker Natasha L. Orr Natasha L. Orr Fahad T. Alotaibi Fahad T. Alotaibi Yang Doris Liu Heather Noga Heather Noga Martin Köbel Paul J. Yong Paul J. Yong Paul J. Yong |
author_sort | Gerbrand Zoet |
collection | DOAJ |
description | IntroductionWe propose a standardized protocol for measurement of nerve bundle density in endometriosis as a potential biomarker, including in deep endometriosis (DE), ovarian endometriomas (OMA) and superficial peritoneal endometriosis (SUP).MethodsThis was a prospective cohort of surgically excised endometriosis samples from Dec 1st 2013 and Dec 31st 2017 at a tertiary referral center for endometriosis in Vancouver, BC, Canada. Surgical data were available from linked patient registry. Protein gene product 9.5 (PGP9.5) was used to identify nerve bundles on immunohistochemistry. PGP9.5 nerve bundles were counted visually. To calculate nerve bundle density, PGP9.5 nerve bundle count was divided by the tissue surface area (total on the slide). All samples were assessed using NHS Elements software for semi-automated measurement of the tissue surface area. For a subset of samples, high power fields (HPFs) were also counted as manual measurement of the tissue surface area. Intraclass correlation was used to assess intra observer and inter observer reliability. Generalized linear mixed model (GLMM) with random intercepts only was conducted to assess differences in PGP9.5 nerve bundle density by endometriosis type (DE, OMA, SUP).ResultsIn total, 236 tissue samples out of 121 participants were available for analysis in the current study. Semi-automated surface area measurement could be performed in 94.5% of the samples and showed good correlation with manually counted HPFs (Spearman's rho = 0.781, p < 0.001). To assess intra observer reliability, 11 samples were assessed twice by the same observer; to assess inter observer reliability, 11 random samples were blindly assessed by two observers. Intra observer reliability and inter observer reliability for nerve bundle density were excellent: 0.979 and 0.985, respectively. PGP9.5 nerve bundle density varied among samples and no nerve bundles could be found in 24.6% of the samples. GLMM showed a significant difference in PGP9.5 nerve bundle density between the different endometriosis types (X2 = 87.6, P < 0.001 after adjusting for hormonal therapy, with higher density in DE and SUP in comparison to OMA).ConclusionA standardized protocol is presented to measure PGP9.5 nerve bundle density in endometriosis, which may serve as a biomarker reflecting local neurogenesis in the endometriosis microenvironment. |
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spelling | doaj.art-583bfd1e768841d9a41f54a9a73f3d512023-12-01T09:40:34ZengFrontiers Media S.A.Frontiers in Reproductive Health2673-31532023-11-01510.3389/frph.2023.12979861297986Standardized protocol for quantification of nerve bundle density as a biomarker for endometriosisGerbrand Zoet0Dwayne R. Tucker1Dwayne R. Tucker2Natasha L. Orr3Natasha L. Orr4Fahad T. Alotaibi5Fahad T. Alotaibi6Yang Doris Liu7Heather Noga8Heather Noga9Martin Köbel10Paul J. Yong11Paul J. Yong12Paul J. Yong13Department of Obstetrics and Gynecology, University Medical Center Utrecht, Utrecht, NetherlandsDepartment of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, CanadaUniversity of British Columbia Endometriosis and Pelvic Pain Laboratory, Vancouver, BC, CanadaDepartment of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, CanadaUniversity of British Columbia Endometriosis and Pelvic Pain Laboratory, Vancouver, BC, CanadaUniversity of British Columbia Endometriosis and Pelvic Pain Laboratory, Vancouver, BC, CanadaDepartment of Physiology, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi ArabiaUniversity of British Columbia Endometriosis and Pelvic Pain Laboratory, Vancouver, BC, CanadaUniversity of British Columbia Endometriosis and Pelvic Pain Laboratory, Vancouver, BC, CanadaWomen’s Health Research Institute, Vancouver, BC, CanadaDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, CanadaDepartment of Obstetrics and Gynecology, University of British Columbia, Vancouver, BC, CanadaUniversity of British Columbia Endometriosis and Pelvic Pain Laboratory, Vancouver, BC, CanadaWomen’s Health Research Institute, Vancouver, BC, CanadaIntroductionWe propose a standardized protocol for measurement of nerve bundle density in endometriosis as a potential biomarker, including in deep endometriosis (DE), ovarian endometriomas (OMA) and superficial peritoneal endometriosis (SUP).MethodsThis was a prospective cohort of surgically excised endometriosis samples from Dec 1st 2013 and Dec 31st 2017 at a tertiary referral center for endometriosis in Vancouver, BC, Canada. Surgical data were available from linked patient registry. Protein gene product 9.5 (PGP9.5) was used to identify nerve bundles on immunohistochemistry. PGP9.5 nerve bundles were counted visually. To calculate nerve bundle density, PGP9.5 nerve bundle count was divided by the tissue surface area (total on the slide). All samples were assessed using NHS Elements software for semi-automated measurement of the tissue surface area. For a subset of samples, high power fields (HPFs) were also counted as manual measurement of the tissue surface area. Intraclass correlation was used to assess intra observer and inter observer reliability. Generalized linear mixed model (GLMM) with random intercepts only was conducted to assess differences in PGP9.5 nerve bundle density by endometriosis type (DE, OMA, SUP).ResultsIn total, 236 tissue samples out of 121 participants were available for analysis in the current study. Semi-automated surface area measurement could be performed in 94.5% of the samples and showed good correlation with manually counted HPFs (Spearman's rho = 0.781, p < 0.001). To assess intra observer reliability, 11 samples were assessed twice by the same observer; to assess inter observer reliability, 11 random samples were blindly assessed by two observers. Intra observer reliability and inter observer reliability for nerve bundle density were excellent: 0.979 and 0.985, respectively. PGP9.5 nerve bundle density varied among samples and no nerve bundles could be found in 24.6% of the samples. GLMM showed a significant difference in PGP9.5 nerve bundle density between the different endometriosis types (X2 = 87.6, P < 0.001 after adjusting for hormonal therapy, with higher density in DE and SUP in comparison to OMA).ConclusionA standardized protocol is presented to measure PGP9.5 nerve bundle density in endometriosis, which may serve as a biomarker reflecting local neurogenesis in the endometriosis microenvironment.https://www.frontiersin.org/articles/10.3389/frph.2023.1297986/fullendometriosisPGP9.5nerveimmunohistochemistrypain |
spellingShingle | Gerbrand Zoet Dwayne R. Tucker Dwayne R. Tucker Natasha L. Orr Natasha L. Orr Fahad T. Alotaibi Fahad T. Alotaibi Yang Doris Liu Heather Noga Heather Noga Martin Köbel Paul J. Yong Paul J. Yong Paul J. Yong Standardized protocol for quantification of nerve bundle density as a biomarker for endometriosis Frontiers in Reproductive Health endometriosis PGP9.5 nerve immunohistochemistry pain |
title | Standardized protocol for quantification of nerve bundle density as a biomarker for endometriosis |
title_full | Standardized protocol for quantification of nerve bundle density as a biomarker for endometriosis |
title_fullStr | Standardized protocol for quantification of nerve bundle density as a biomarker for endometriosis |
title_full_unstemmed | Standardized protocol for quantification of nerve bundle density as a biomarker for endometriosis |
title_short | Standardized protocol for quantification of nerve bundle density as a biomarker for endometriosis |
title_sort | standardized protocol for quantification of nerve bundle density as a biomarker for endometriosis |
topic | endometriosis PGP9.5 nerve immunohistochemistry pain |
url | https://www.frontiersin.org/articles/10.3389/frph.2023.1297986/full |
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