Relationship between anti-Müllerian hormone and antral follicle count across the menstrual cycle using the Beckman Coulter Access assay in comparison with Gen II manual assay
-
Julia Schiffner
, Judith Roos , David Broomhead , Joseph van Helden , Erhard Godehardt , Daniel Fehr , Günter Freundl , Sarah Johnson and Christian Gnoth
Abstract
Background:
The study aim was to validate Beckman Coulter’s fully automated Access Immunoassay System (BC Access assay) for anti-Müllerian hormone (AMH) and compare it with Beckman Coulter’s Modified Manual Generation II assay (BC Mod Gen II), with regard to cycle AMH fluctuations and antral follicle counts.
Methods:
During one complete menstrual cycle, transvaginal ultrasound was performed on regularly menstruating women (n=39; 18–40years) every 2 days until the dominant ovarian follicle reached 16mm, then daily until observed ovulation; blood samples were collected throughout the cycle. Number and size of antral follicles was determined and AMH levels measured using both assays.
Results:
AMH levels measured by the BC Access assay vary over ovulatory menstrual cycles, with a statistically significant pre-ovulatory decrease from –5 to +2 days around objective ovulation. Mean luteal AMH levels were significantly lower (–7.99%) than mean follicular levels but increased again towards the end of the luteal phase. Antral follicle count can be estimated from AMH (ng/mL, BC Access assay) concentrations on any follicular phase day. BC Access assay-obtained AMH values are considerably lower compared with the BC Mod Gen II assay (–19% on average); conversion equation: AMH BC Access (ng/mL)=0.85 [AMH BC Mod Gen II (ng/mL)]0.95.
Conclusions:
AMH levels vary throughout the cycle, independently of assay utilised. A formula can be used to convert BC Access assay-obtained AMH levels to BC Mod Gen II values. The number of antral follicles can be consistently estimated from pre-ovulatory AMH levels using either assay.
Acknowledgments
The authors wish to thank all team members of green-ivf, especially Mrs Silvia Heil and Ms Jennifer Neye, for helping to recruit volunteers, volunteer support during the study, data recording, and documentation work. Editorial support was provided by integrated medhealth communication (imc), supported by SPD Development Company Ltd.
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission. JS and EG provided statistical analysis and critical discussion and JS was involved in writing of the manuscript. JR was involved in study design, sonography, and critical discussion. DB and JH conducted all AMH measurements. DF was involved in writing of the manuscript. GF was involved in study design and critical discussion. SJ participated in study design and management, analysis, manuscript drafting, and critical discussion. CG participated in study design, sonography, analysis, manuscript writing and drafting, and critical discussion.
Research funding: This study was funded by SPD Development Company Ltd.
Employment or leadership: Christian Gnoth: principle investigator of clinical studies on the performance of fertility monitors, partly supported by SPD (Swiss Precision Diagnostics) Development Company Ltd. Receipt of speaker’s fees by Beckman Coulter, Sinsheim, Germany. Sarah Johnson, Dave Broomhead: employees of SPD Development company Ltd., a fully owned subsidiary of SPD (Swiss Precision Diagnostics) Development Company Ltd., the manufacturers of Clearblue pregnancy and fertility tests. Julia Schiffner, Judith Roos, Joseph van Helden, Erhard Godehardt, Daniel Fehr, Günter Freundl: nothing to declare.
Clinical trial registration number: NCT01802060
Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
References
1. Jeppesen JV, Anderson RA, Kelsey TW, Christiansen SL, Kristensen SG, Jayaprakasan K, et al. Which follicles make the most anti-Mullerian hormone in humans? Evidence for an abrupt decline in AMH production at the time of follicle selection. Mol Hum Reprod 2013;19:519–57.10.1093/molehr/gat024Search in Google Scholar PubMed
2. Dewailly D, Andersen CY, Balen A, Broekmans F, Dilaver N, Fanchin R, et al. The physiology and clinical utility of anti-Mullerian hormone in women. Hum Reprod Update 2014;20:370–85.10.1093/humupd/dmt062Search in Google Scholar PubMed
3. Iliodromiti S, Anderson RA, Nelson SM. Technical and performance characteristics of anti-Mullerian hormone and antral follicle count as biomarkers of ovarian response. Hum Reprod Update 2015;21:698–710.10.1093/humupd/dmu062Search in Google Scholar PubMed
4. Nelson SM, Fleming R, Gaudoin M, Choi B, Santo-Domingo K, Yao M. Antimullerian hormone levels and antral follicle count as prognostic indicators in a personalized prediction model of live birth. Fertil Steril 2015;104:325–32.10.1016/j.fertnstert.2015.04.032Search in Google Scholar PubMed
5. Lambalk CB. Anti-Mullerian hormone, the holy grail for fertility counselling in the general population? Hum Reprod Oxf Engl 2015;30:2257–8.10.1093/humrep/dev199Search in Google Scholar PubMed
6. Van Helden J, Weiskirchen R. Performance of the two new fully automated anti-Müllerian hormone immunoassays compared with the clinical standard assay. Hum Reprod 2015;30:1918–26.10.1093/humrep/dev127Search in Google Scholar PubMed
7. Rustamov O, Smith A, Roberts SA, Yates AP, Fitzgerald C, Krishnan M, et al. The measurement of anti-mullerian hormone: a critical appraisal. J Clin Endocrinol Metab 2014;99:723–32.10.1210/jc.2013-3476Search in Google Scholar PubMed
8. Lukaszuk K, Ludwikowska B, Liss J, Kunicki M, Sawczak M, Lukaszuk A, et al. Decreasing quality of the new generations of anti-Mullerian hormone assays. BioMed Res Int 2014;2014:165352.10.1155/2014/165352Search in Google Scholar PubMed PubMed Central
9. Gnoth C, Roos J, Broomhead D, Schiffner J, Godehardt E, Freundl G, et al. Antimüllerian hormone levels and numbers and sizes of antral follicles in regularly menstruating women of reproductive age referenced to true ovulation day. Fertil Steril 2015;104:1535–43.10.1016/j.fertnstert.2015.08.027Search in Google Scholar PubMed
10. Roos J, Johnson S, Weddell S, Godehardt E, Schiffner J, Freundl G, et al. Monitoring the menstrual cycle: Comparison of urinary and serum reproductive hormones referenced to true ovulation. Eur J Contracept Reprod Health Care 2015;20:438–50.10.3109/13625187.2015.1048331Search in Google Scholar PubMed
11. Johnson S, Weddell S, Godbert S, Freundl G, Roos J, Gnoth C. Development of the first urinary reproductive hormone ranges referenced to independently determined ovulation day. Clin Chem Lab Med 2015;53:1099–108.10.1515/cclm-2014-1087Search in Google Scholar PubMed
12. Craciunas L, Roberts SA, Yates AP, Smith A, Fitzgerald C, Pemberton PW. Modification of the Beckman-Coulter second-generation enzyme-linked immunosorbent assay protocol improves the reliability of serum antimüllerian hormone measurement. Fertil and Steril 2015;103:554–9.10.1016/j.fertnstert.2014.10.052Search in Google Scholar PubMed
13. Nakagawa S, Schielzeth H. A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods Ecol Evol 2013;4:133–42.10.1111/j.2041-210x.2012.00261.xSearch in Google Scholar
14. Johnson PC. Extension of Nakagawa & Schielzeth’s R2 GLMM to random slopes models. Methods Ecol Evol 2014;5:944–6.10.1111/2041-210X.12225Search in Google Scholar PubMed PubMed Central
15. Barton K. MuMIn: Multi-model inference. 2016. R package version 1.15.6. Available at: https://CRAN.R-project.org/package=MuMIn.Search in Google Scholar
16. Pinheiro J, Bates D, DebRoy S, Sarkar D, R Core Team. Nlme: linear and nonlinear mixed effects models. 2015. R package version 3.1–122. Available at: http://CRAN.R-project.org/package=nlme.Search in Google Scholar
17. Bates D, Maechler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Softw 2015;67:1–48.10.18637/jss.v067.i01Search in Google Scholar
18. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;327:307–10. (Originally published as Volume 1, Issue 8476).10.1016/j.ijnurstu.2009.10.001Search in Google Scholar
19. Carstensen B. Comparing clinical measurement methods: a practical guide. Chichester, West Sussex, UK: John Wiley & Sons Ltd, 2010. Chapter 7.10.1002/9780470683019Search in Google Scholar
20. Carstensen B, Gurrin L, Ekstrom C, Figurski M. MethComp: functions for analysis of agreement in method comparison studies. 2015. R package version 1.22.2. Available at: https://CRAN.R-project.org/package=MethComp.Search in Google Scholar
21. Nelson SM, Pastuszek E, Kloss G, Malinowska I, Liss J, Lukaszuk A, et al. Two new automated, compared with two enzyme-linked immunosorbent, antimullerian hormone assays. Fertil Steril 2015;104:1016–21.10.1016/j.fertnstert.2015.06.024Search in Google Scholar PubMed
22. Pankhurst MW, Chong YH. Variation in circulating antimüllerian hormone precursor during the periovulatory and acute postovulatory phases of the human ovarian cycle. Fertil Steril 2016;106:1238–43.10.1016/j.fertnstert.2016.06.010Search in Google Scholar PubMed
23. La Marca A, Grisendi V, Griesinger G. How much does amh really vary in normal women? Int J Endocrinol 2013;2013:959487.10.1155/2013/959487Search in Google Scholar PubMed PubMed Central
24. Hehenkamp WJ, Looman CW, Themmen AP, Jong FH de, Te Velde ER, Broekmans FJ. Anti-Mullerian hormone levels in the spontaneous menstrual cycle do not show substantial fluctuation. J Clin Endocrinol Metab 2006;91:4057–63.10.1210/jc.2006-0331Search in Google Scholar PubMed
25. Kissell KA, Danaher MR, Schisterman EF, Wactawski-Wende J, Ahrens KA, Schliep K, et al. Biological variability in serum anti-Müllerian hormone throughout the menstrual cycle in ovulatory and sporadic anovulatory cycles in eumenorrheic women. Hum Reprod 2014;29:1764–71.10.1093/humrep/deu142Search in Google Scholar PubMed PubMed Central
Supplemental Material
The online version of this article (DOI: https://doi.org/10.1515/cclm-2016-0609) offers supplementary material, available to authorized users.
©2017 Walter de Gruyter GmbH, Berlin/Boston
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- Quality control materials for pharmacogenomic testing in the clinic
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