Metabolomic Characteristics in Endometriosis Patients

In: ISGE Series · 2020 · pp. 9–17 · doi:10.1007/978-3-030-57866-4_2 · W3113229394
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This chapter analyzes recent evidence on using metabolomics for endometriosis early diagnosis, recurrence, and treatment.

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This chapter reviews recent scientific evidence on metabolomic approaches aimed at early diagnosis of endometriosis, and also addresses recurrence and treatment monitoring, based on findings from multiple biological samples (including follicular fluid, blood, and urine) analyzed with techniques such as MRI and mass spectrometry. It discusses how chronic conditions like endometriosis can impair metabolism of sugars, amino acids, and simple and complex lipids, leading to altered metabolite levels that could serve as biomarkers. A stated caveat across the reviewed literature is that diagnosis is often delayed because symptoms overlap with other diseases, which complicates the translation of metabolomic biomarker strategies. This paper is centrally about endometriosis — it reviews metabolomic characteristics and their use for early diagnosis, recurrence, and treatment assessment in endometriosis patients.

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Abstract

Endometriosis is a benign gynaecological disease that may cause infertility. Its diagnosis is often delayed due to the similarity of its symptoms with other diseases. Chronic diseases like endometriosis may impair the metabolism of different compounds like sugars, amino acids, simple and complex lipids and may alter their levels in many biological samples. Many studies have investigated the role of different biomarkers that could be useful for non-invasive diagnosis of early-stage endometriosis. These biomarkers were evaluated in various biological samples (follicular fluids, blood, urines) using different techniques, such as magnetic resonance imaging and mass spectrometry. In this chapter, we analyse the recent scientific evidence about using a metabolomic approach for the early diagnosis of endometriosis, as well as for its recurrence and treatment. Access this chapter Tax calculation will be finalised at checkout Purchases are for personal use only Similar content being viewed by others

References

Angioni S. New insights on endometriosis. Minerva Ginecol. 2017;69:438–9. https://doi.org/10.23736/S0026-4784.17.04089-8. Pontis A, Arena I, Angioni S. Umbilical endometriosis primary site without pelvic endometriosis and previous surgery: a case report. G Ital di Ostet e Ginecol. 2014;36:336–8. https://doi.org/10.11138/giog/2014.36.2.336. Eisenberg VH, Weil C, Chodick G, Shalev V. Epidemiology of endometriosis: a large population-based database study from a healthcare provider with 2 million members. BJOG An Int J Obstet Gynaecol. 2018;125:55–62. https://doi.org/10.1111/1471-0528.14711. Nisolle M, Donnez J. Peritoneal endometriosis, ovarian endometriosis, and adenomyotic nodules of the rectovaginal septum are three different entities. Fertil Steril. 1997;68:585–96. https://doi.org/10.1016/S0015-0282(97)00191-X. Stochino-Loi E, Millochau J-C, Angioni S, Touleimat S, Abo C, Chanavaz-Lacheray I, Hennetier C, Roman H. Relationship between patient age and disease features in a prospective cohort of 1560 women affected by endometriosis. J Minim Invasive Gynecol. 2019;27:1158. https://doi.org/10.1016/j.jmig.2019.09.004. Abrao MS, da C Gonçalves MO, Dias JA Jr, Podgaec S, Chamie LP, Blasbalg R. Comparison between clinical examination, transvaginal sonography and magnetic resonance imaging for the diagnosis of deep endometriosis. Hum Reprod. 2007;22:3092–7. https://doi.org/10.1093/humrep/dem187. Dunselman GAJ, Vermeulen N, Becker C, Calhaz-Jorge C, D’Hooghe T, De Bie B, Heikinheimo O, Horne AW, Kiesel L, Nap A, Prentice A, Saridogan E, Soriano D, Nelen W, European Society of Human Reproduction and Embryology. ESHRE guideline: management of women with endometriosis. Hum Reprod. 2014;29:400–12. https://doi.org/10.1093/humrep/det457. Antonio Maiorana. When more is not better: 10 “Don’ts” in endometriosis management. An ETIC * position statement. Hum Reprod Open. 2019; https://doi.org/10.1093/HROPEN/HOZ009. Barbieri RL, Niloff JM, Bast RC, Scaetzl E, Kistner RW, Knapp RC. Elevated serum concentrations of CA-125 in patients with advanced endometriosis. Fertil Steril. 1986;45:630–4. https://doi.org/10.1016/S0015-0282(16)49333-7. Socolov R, Butureanu S, Angioni S, Sindilar A, Boiculese L, Cozma L, Socolov D. The value of serological markers in the diagnosis and prognosis of endometriosis: a prospective case-control study. Eur J Obstet Gynecol Reprod Biol. 2011;154:215–7. https://doi.org/10.1016/j.ejogrb.2010.10.008. Dutta M, Singh B, Joshi M, Das D, Subramani E, Maan M, Jana SK, Sharma U, Das S, Dasgupta S, Ray CD, Chakravarty B, Chaudhury K. Metabolomics reveals perturbations in endometrium and serum of minimal and mild endometriosis. Sci Rep. 2018;8:6466. https://doi.org/10.1038/s41598-018-23954-7. Komala NT, Gurumurthy R, Surendra P. OMICS technologies towards seed quality improvement. Int J Pure App Biosci. 2017;5:1075–85. https://doi.org/10.18782/2320-7051.3072. Nicholson JK, Lindon JC. Systems biology: metabonomics. Nature. 2008;455:1054–6. https://doi.org/10.1038/4551054a. Emwas A-HM. The strengths and weaknesses of NMR spectroscopy and mass spectrometry with particular focus on metabolomics research. Methods Mol Biol. 2015;1277:161–93. https://doi.org/10.1007/978-1-4939-2377-9_13. Domínguez F, Ferrando M, Díaz-Gimeno P, Quintana F, Fernández G, Castells I, Simón C. Lipidomic profiling of endometrial fluid in women with ovarian endometriosis. Biol Reprod. 2017;96:772–9. https://doi.org/10.1093/biolre/iox014. Cordeiro FB, Cataldi TR, Perkel KJ, do Vale Teixeira da Costa L, Rochetti RC, Stevanato J, Eberlin MN, Zylbersztejn DS, Cedenho AP, Lo Turco EG. Lipidomics analysis of follicular fluid by ESI-MS reveals potential biomarkers for ovarian endometriosis. J Assist Reprod Genet. 2015;32:1817–25. https://doi.org/10.1007/s10815-015-0592-1. Vicente-Muñoz S, Morcillo I, Puchades-Carrasco L, Payá V, Pellicer A, Pineda-Lucena A. Nuclear magnetic resonance metabolomic profiling of urine provides a noninvasive alternative to the identification of biomarkers associated with endometriosis. Fertil Steril. 2015;104:1202–9. https://doi.org/10.1016/j.fertnstert.2015.07.1149. Dutta M, Joshi M, Srivastava S, Lodh I, Chakravarty B, Chaudhury K. A metabonomics approach as a means for identification of potential biomarkers for early diagnosis of endometriosis. Mol BioSyst. 2012;8:3281–7. https://doi.org/10.1039/c2mb25353d. Vouk K, Hevir N, Ribić-Pucelj M, Haarpaintner G, Scherb H, Osredkar J, Möller G, Prehn C, Rižner TL, Adamski J. Discovery of phosphatidylcholines and sphingomyelins as biomarkers for ovarian endometriosis. Hum Reprod. 2012;27:2955–65. https://doi.org/10.1093/humrep/des152. Li J, Guan L, Zhang H, Gao Y, Sun J, Gong X, Li D, Chen P, Liang X, Huang M, Bi H. Endometrium metabolomic profiling reveals potential biomarkers for diagnosis of endometriosis at minimal-mild stages. Reprod Biol Endocrinol. 2018;16:42. https://doi.org/10.1186/s12958-018-0360-z. Lousse J-C, Defrère S, Colette S, Van Langendonckt A, Donnez J. Expression of eicosanoid biosynthetic and catabolic enzymes in peritoneal endometriosis. Hum Reprod. 2009;25:734–41. https://doi.org/10.1093/humrep/dep408. As-Sanie S, Kim J, Schmidt-Wilcke T, Sundgren PC, Clauw DJ, Napadow V, Harris RE. Functional connectivity is associated with altered brain chemistry in women with endometriosis-associated chronic pelvic pain. J Pain. 2016;17:1–13. https://doi.org/10.1016/j.jpain.2015.09.008. Liu H, Lang JH. Is abnormal eutopic endometrium the cause of endometriosis? The role of eutopic endometrium in pathogenesis of endometriosis. Med Sci Monit. 2011;17:92–9. https://doi.org/10.12659/MSM.881707. Hayrabedyan S, Kyurkchiev S, Kehayov I. Endoglin (cd105) and S100A13 as markers of active angiogenesis in endometriosis. Reprod Biol. 2005;5:51–67. Griffin JL, Shockcor JP. Metabolic profiles of cancer cells. Nat Rev Cancer. 2004;4:551–61. https://doi.org/10.1038/nrc1390. Swanson MG, Vigneron DB, Tabatabai ZL, Males RG, Schmitt L, Carroll PR, James JK, Hurd RE, Kurhanewicz J. Proton HR-MAS spectroscopy and quantitative pathologic analysis of MRI/3D-MRSI-targeted postsurgical prostate tissues. Magn Reson Med. 2003;50:944–54. https://doi.org/10.1002/mrm.10614. Tripathi P, Kamarajan P, Somashekar BS, MacKinnon N, Chinnaiyan AM, Kapila YL, Rajendiran TM, Ramamoorthy A. Delineating metabolic signatures of head and neck squamous cell carcinoma: phospholipase A2, a potential therapeutic target. Int J Biochem Cell Biol. 2012;44:1852–61. https://doi.org/10.1016/j.biocel.2012.06.025. Schwickert G, Walenta S, Mueller-Klieser W, Sundfør K, Rofstad EK. Correlation of high lactate levels in human cervical Cancer with incidence of metastasis. Cancer Res. 1995;55:4757–9. Hilvo M, De Santiago I, Gopalacharyulu P, Schmitt WD, Budczies J, Kuhberg M, Dietel M, Aittokallio T, Markowetz F, Denkert C, Sehouli J, Frezza C, Darb-Esfahani S, Braicu EI. Accumulated metabolites of hydroxybutyric acid serve as diagnostic and prognostic biomarkers of ovarian high-grade serous carcinomas. Cancer Res. 2016;76:796–804. https://doi.org/10.1158/0008-5472.CAN-15-2298. Dionyssopoulou E, Vassiliadis S, Evangeliou A, Koumantakis EE, Athanassakis I. Constitutive or induced elevated levels of L-carnitine correlate with the cytokine and cellular profile of endometriosis. J Reprod Immunol. 2005;65:159–70. https://doi.org/10.1016/j.jri.2004.12.002. Hashim HA. Potential role of aromatase inhibitors in the treatment of endometriosis. Int J Women’s Health. 2014;6:671–80. https://doi.org/10.2147/IJWH.S34684. Huhtinen K, Desai R, Stahle M, Salminen A, Handelsman DJ, Perheentupa A, Poutanen M. Endometrial and endometriotic concentrations of estrone and estradiol are determined by local metabolism rather than circulating levels. J Clin Endocrinol Metab. 2012;97:4228–35. https://doi.org/10.1210/jc.2012-1154. Ghazi N, Arjmand M, Akbari Z, Mellati AO, Saheb-Kashaf H, Zamani Z. H NMR- based metabolomics approaches as non-invasive tools for diagnosis of endometriosis. Int J Reprod Biomed. 2016;14:1–8. Lee YH, Tan CW, Venkatratnam A, Tan CS, Cui L, Loh SF, Griffith L, Tannenbaum SR, Chan JKY. Dysregulated sphingolipid metabolism in endometriosis. J Clin Endocrinol Metab. 2014;99:E1913–21. https://doi.org/10.1210/jc.2014-1340. Quinn M. Endometriosis: the consequence of neurological dysfunction? Med Hypotheses. 2004;63:602–8. https://doi.org/10.1016/j.mehy.2004.03.032. Borghese B, Mondon F, Noël JC, Fayt I, Mignot TM, Vaiman D, Chapron C. Gene expression profile for ectopic versus eutopic endometrium provides new insights into endometriosis oncogenic potential. Mol Endocrinol. 2008;22:2557–62. https://doi.org/10.1210/me.2008-0322. Gebel MH, Braun DP, Tambur A, Frame D, Rana N, Dmowski WP. Spontaneous apoptosis of endometrial tissue is impaired in women with endometriosis. Fertil Steril. 1998;69:1042–7. https://doi.org/10.1016/S0015-0282(98)00073-9. Nagan N, Zoeller RA. Plasmalogens: biosynthesis and functions. Prog Lipid Res. 2001;40:199–229. https://doi.org/10.1016/S0163-7827(01)00003-0. Author information Authors and Affiliations Editor information Editors and Affiliations Rights and permissions Copyright information © 2021 International Society of Gynecological Endocrinology About this chapter Cite this chapter Angioni, S., Saponara, S., Succu, A.G., Sigilli, M., Scicchitano, F., D’Alterio, M.N. (2021). Metabolomic Characteristics in Endometriosis Patients. In: Genazzani, A.R., Nisolle, M., Petraglia, F., Taylor, R.N. (eds) Endometriosis Pathogenesis, Clinical Impact and Management. ISGE Series. Springer, Cham. https://doi.org/10.1007/978-3-030-57866-4_2 Download citation DOI: https://doi.org/10.1007/978-3-030-57866-4_2 Published: Publisher Name: Springer, Cham Print ISBN: 978-3-030-57865-7 Online ISBN: 978-3-030-57866-4 eBook Packages: MedicineMedicine (R0)

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