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Galati G, Somigliana E, Ciaffaglione M, Reschini M, Serra N, Sanzani E, Viganò P, Polledri E, Fustinoni S, Muzii L, Filippi F. Follicular steroidogenesis in random start protocols for oocyte cryopreservation. J Assist Reprod Genet 2023; 40:2149-2156. [PMID: 37439869 PMCID: PMC10440306 DOI: 10.1007/s10815-023-02883-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 07/03/2023] [Indexed: 07/14/2023] Open
Abstract
PURPOSE Random start protocols are commonly used for oocyte cryopreservation in women with cancer. However, albeit generally reassuring, available evidence is still insufficient to rule out a sub-optimal cycle outcome. This study aimed to compare follicular steroidogenesis between women initiating the random start protocol in the luteal phase and those initiating in the follicular phase. METHODS Consecutive women with cancer scheduled for oocyte cryostorage were prospectively recruited. We excluded those requiring a concomitant letrozole assumption. All women received a standardized protocol with recombinant FSH and GnRH antagonists. At the time of oocyte retrieval, follicular fluids were pooled, and a sample was collected and frozen at -80 °C. All samples were assayed concomitantly after thawing by liquid chromatography-tandem mass spectrometry. The concentration of 15 different steroid hormones was determined. RESULTS Seventy-one women were recruited. Thirty-three initiated the ovarian stimulation in the luteal phase, while the remaining 38 initiated in the follicular phase. Baseline characteristics were generally similar. Cycle outcome did also not differ; the median (interquartile range) number of frozen mature oocytes was 9 (5-14) and 10 (5-21), respectively (p = 0.42). None of the 15 tested steroid hormones differed. CONCLUSIONS The endocrine microenvironment surrounding oocytes is not markedly influenced by the phase of the menstrual cycle at the initiation of ovarian stimulation. This result further supports the validity of random start protocols.
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Affiliation(s)
- Giulia Galati
- Department of Maternal and Child Health and Urology, Sapienza University, Viale Regina Elena, 324, 00161, Rome, Italy.
| | - Edgardo Somigliana
- Infertility Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Marta Ciaffaglione
- Infertility Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marco Reschini
- Infertility Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Nicole Serra
- Infertility Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Elena Sanzani
- Infertility Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Paola Viganò
- Infertility Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Elisa Polledri
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Environmental and Industrial Toxicology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Silvia Fustinoni
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Environmental and Industrial Toxicology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Ludovico Muzii
- Department of Maternal and Child Health and Urology, Sapienza University, Viale Regina Elena, 324, 00161, Rome, Italy
| | - Francesca Filippi
- Infertility Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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Hällqvist J, Lane D, Shapanis A, Davis K, Heywood WE, Doykov I, Śpiewak J, Ghansah N, Keevil B, Gupta P, Jukes-Jones R, Singh R, Foley D, Vissers JPC, Pattison R, Ferries S, Wardle R, Bartlett A, Calton LJ, Anderson L, Razavi M, Pearson T, Pope M, Yip R, Ng LL, Nicholas BI, Bailey A, Noel D, Dalton RN, Heales S, Hopley C, Pitt AR, Barran P, Jones DJL, Mills K, Skipp P, Carling RS. Operation Moonshot: rapid translation of a SARS-CoV-2 targeted peptide immunoaffinity liquid chromatography-tandem mass spectrometry test from research into routine clinical use. Clin Chem Lab Med 2023; 61:302-310. [PMID: 36395058 DOI: 10.1515/cclm-2022-1000] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 11/04/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVES During 2020, the UK's Department of Health and Social Care (DHSC) established the Moonshot programme to fund various diagnostic approaches for the detection of SARS-CoV-2, the pathogen behind the COVID-19 pandemic. Mass spectrometry was one of the technologies proposed to increase testing capacity. METHODS Moonshot funded a multi-phase development programme, bringing together experts from academia, industry and the NHS to develop a state-of-the-art targeted protein assay utilising enrichment and liquid chromatography tandem mass spectrometry (LC-MS/MS) to capture and detect low levels of tryptic peptides derived from SARS-CoV-2 virus. The assay relies on detection of target peptides, ADETQALPQRK (ADE) and AYNVTQAFGR (AYN), derived from the nucleocapsid protein of SARS-CoV-2, measurement of which allowed the specific, sensitive, and robust detection of the virus from nasopharyngeal (NP) swabs. The diagnostic sensitivity and specificity of LC-MS/MS was compared with reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) via a prospective study. RESULTS Analysis of NP swabs (n=361) with a median RT-qPCR quantification cycle (Cq) of 27 (range 16.7-39.1) demonstrated diagnostic sensitivity of 92.4% (87.4-95.5), specificity of 97.4% (94.0-98.9) and near total concordance with RT-qPCR (Cohen's Kappa 0.90). Excluding Cq>32 samples, sensitivity was 97.9% (94.1-99.3), specificity 97.4% (94.0-98.9) and Cohen's Kappa 0.95. CONCLUSIONS This unique collaboration between academia, industry and the NHS enabled development, translation, and validation of a SARS-CoV-2 method in NP swabs to be achieved in 5 months. This pilot provides a model and pipeline for future accelerated development and implementation of LC-MS/MS protein/peptide assays into the routine clinical laboratory.
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Affiliation(s)
- Jenny Hällqvist
- University College London Translational Mass Spectrometry Research Group Unit, London, UK
- UCL Queen Square Institute of Neurology, London, UK
| | - Dan Lane
- The Department of Chemical Pathology and Metabolic Diseases, Leicester Royal Infirmary, Leicester, UK
- Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester, UK
| | - Andrew Shapanis
- Centre for Proteomic Research, University of Southampton, Southampton, UK
- Biological Sciences, University of Southampton, Southampton, UK
| | - Kayleigh Davis
- Biochemical Sciences, Synnovis, Guys & St Thomas' NHSFT, London, UK
| | - Wendy E Heywood
- University College London Translational Mass Spectrometry Research Group Unit, London, UK
| | - Ivan Doykov
- University College London Translational Mass Spectrometry Research Group Unit, London, UK
| | - Justyna Śpiewak
- University College London Translational Mass Spectrometry Research Group Unit, London, UK
| | - Nana Ghansah
- Neurometabolic Unit, National Hospital, London, UK
| | - Brian Keevil
- Department of Biochemistry, Manchester University NHS Trust, Manchester, UK
| | - Pankaj Gupta
- The Department of Chemical Pathology and Metabolic Diseases, Leicester Royal Infirmary, Leicester, UK
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Rebekah Jukes-Jones
- The Department of Chemical Pathology and Metabolic Diseases, Leicester Royal Infirmary, Leicester, UK
- van Geest MS-OMICS Facility, University of Leicester, Leicester, UK
| | - Raj Singh
- van Geest MS-OMICS Facility, University of Leicester, Leicester, UK
| | - Dominic Foley
- Waters Corporation, Wilmslow, UK
- Waters Corporation, Milford, MA, USA
| | | | - Rebecca Pattison
- Waters Corporation, Wilmslow, UK
- Waters Corporation, Milford, MA, USA
| | - Samantha Ferries
- Waters Corporation, Wilmslow, UK
- Waters Corporation, Milford, MA, USA
| | - Robert Wardle
- Waters Corporation, Wilmslow, UK
- Waters Corporation, Milford, MA, USA
| | - Amy Bartlett
- Waters Corporation, Wilmslow, UK
- Waters Corporation, Milford, MA, USA
| | - Lisa J Calton
- Waters Corporation, Wilmslow, UK
- Waters Corporation, Milford, MA, USA
| | - Leigh Anderson
- SISCAPA Assay Technologies, Inc., Washington, DC, USA
- SISCAPA Assay Technologies, Inc., Victoria, BC, Canada
| | - Morteza Razavi
- SISCAPA Assay Technologies, Inc., Washington, DC, USA
- SISCAPA Assay Technologies, Inc., Victoria, BC, Canada
| | - Terry Pearson
- SISCAPA Assay Technologies, Inc., Washington, DC, USA
- SISCAPA Assay Technologies, Inc., Victoria, BC, Canada
| | - Matt Pope
- SISCAPA Assay Technologies, Inc., Washington, DC, USA
- SISCAPA Assay Technologies, Inc., Victoria, BC, Canada
| | - Richard Yip
- SISCAPA Assay Technologies, Inc., Washington, DC, USA
- SISCAPA Assay Technologies, Inc., Victoria, BC, Canada
| | - Leong L Ng
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- van Geest MS-OMICS Facility, University of Leicester, Leicester, UK
| | | | - Alistair Bailey
- Centre for Proteomic Research, University of Southampton, Southampton, UK
| | - Dan Noel
- Biological Sciences, University of Southampton, Southampton, UK
| | - R Neil Dalton
- WellChild Laboratory, Evelina London Children's Hospital, London, UK
| | - Simon Heales
- Neurometabolic Unit, National Hospital, London, UK
| | | | - Andrew R Pitt
- Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
| | - Perdita Barran
- Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
| | - Donald J L Jones
- van Geest MS-OMICS Facility, University of Leicester, Leicester, UK
| | - Kevin Mills
- University College London Translational Mass Spectrometry Research Group Unit, London, UK
| | - Paul Skipp
- Centre for Proteomic Research, University of Southampton, Southampton, UK
- Biological Sciences, University of Southampton, Southampton, UK
| | - Rachel S Carling
- Biochemical Sciences, Synnovis, Guys & St Thomas' NHSFT, London, UK
- GKT School Medical Education, Kings College London, London, UK
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Chen F, Chen M, Zhang W, Yin H, Chen G, Huang Q, Yang X, Chen L, Lin C, Yin G. Comparison of the efficacy of different androgens measured by LC-MS/MS in representing hyperandrogenemia and an evaluation of adrenal-origin androgens with a dexamethasone suppression test in patients with PCOS. J Ovarian Res 2021; 14:32. [PMID: 33583431 PMCID: PMC7883427 DOI: 10.1186/s13048-021-00781-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 02/02/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The aims of this study were to compare the efficacy of different androgens measured by liquid chromatography-mass spectrometry (LC-MS/MS) in representing hyperandrogenemia and to evaluate adrenal-origin androgens with a dexamethasone suppression test in patients with polycystic ovary syndrome (PCOS). METHODS One hundred and two patients with PCOS and 41 healthy volunteers were recruited and total serum testosterone (TT), androstenedione (AD), dehydroepiandrosterone (DHEA) and dehydroepiandrosterone sulfate (DHEA-S) were measured by LC-MS/MS. ROC analysis was performed to compare the efficacy of different androgens in representing hyperandrogenemia. Dexamethasone suppression test was performed in 51 patients with PCOS and above indicators were measured after dexamethasone administration. The prediction efficacy of DHEA and DHEA-S at baseline in the dexamethasone suppression test was evaluated with ROC analysis. RESULTS The AUCs of TT, AD, free androgen index (FAI) and DHEA-S in ROC analysis for representing hyperandrogenemia were 0.816, 0.842, 0.937 and 0.678, respectively. The optimal cutoff value of TT was 0.337 ng/ml, with a sensitivity of 72.0% and specificity of 82.93%. The optimal cutoff value for AD was 1.309 ng/ml, with a sensitivity of 81.0% and specificity of 73.17%. The optimal cutoff value of the FAI was 2.50, with a sensitivity of 87.0% and specificity of 92.68%. Alternatively, AD or FAI more than the optimal cutoff values as evidence of hyperandrogenemia had the highest sensitivity of 91.18%. The levels of cortisol, DHEA and DHEA-S were all suppressed to narrow ranges after dexamethasone administration. Nine and 8 of 51 patients with PCOS had significant decreases in TT and AD, respectively. DHEA can be used as a indicator for predicting significant decrease of TT in dexamethasone suppression test with cutoff value of 13.28 ng/ml. A total of 27.5% (14/51) of patients had DHEA-S excess, but only 1 of 9 patients who had a significant decrease in TT had elevated level of DHEA-S at baseline. CONCLUSIONS AD measured by LC-MS/MS can represent hyperandrogenemia in PCOS patients and, combined with TT or FAI, can improve the screening efficiency of hyperandrogenemia. Seventeen percent of PCOS patients had adrenal-origin androgen dominance, with TT significantly decreasing after 2 days of dexamethasone administration. Adrenal-origin androgen dominance was not parallel with DHEA-S excess in patients with PCOS.
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Affiliation(s)
- Fu Chen
- Department of Clinical Nutrition, The 1st Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Minjie Chen
- Department of Endocrinology, The 1st Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
- Laboratory of Molecular Cardiology and Laboratory of Molecular Imaging, The 1st Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Weichun Zhang
- Department of Endocrinology, The 1st Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Huihuang Yin
- Department of Endocrinology, The 1st Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Guishan Chen
- Department of Endocrinology, The 1st Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Qingxia Huang
- Department of Endocrinology, The 1st Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Xiaoping Yang
- Department of Endocrinology, The 1st Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Lan Chen
- Department of Endocrinology, The 1st Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Chujia Lin
- Department of Endocrinology, The 1st Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Guoshu Yin
- Department of Endocrinology, The 1st Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China.
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