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Hassan J, Knuus K, Lahtinen A, Rooda I, Otala M, Tuuri T, Gidlöf S, Edlund E, Menezes J, Malmros J, Byström P, Sundin M, Langenskiöld C, Vogt H, Frisk P, Petersen C, Damdimopoulou P, Jahnukainen K. Reference standards for follicular density in ovarian cortex from birth to sexual maturity. Reprod Biomed Online 2023; 47:103287. [PMID: 37603956 DOI: 10.1016/j.rbmo.2023.103287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 06/15/2023] [Accepted: 07/11/2023] [Indexed: 08/23/2023]
Abstract
RESEARCH QUESTION Are age-normalized reference values for human ovarian cortical follicular density adequate for tissue quality control in fertility preservation? DESIGN Published quantitative data on the number of follicles in samples without known ovarian pathology were converted into cortical densities to create reference values. Next, a sample cohort of 126 girls (age 1-24 years, mean ± SD 11 ± 6) with cancer, severe haematological disease or Turner syndrome were used to calculate Z-scores for cortical follicular density based on the reference values. RESULTS No difference was observed between Z-scores in samples from untreated patients (0.3 ± 3.5, n = 30) and patients treated with (0.5 ± 2.9, n = 48) and without (0.1 ± 1.3, n = 6) alkylating chemotherapy. Z-scores were not correlated with increasing cumulative exposure to cytostatics. Nevertheless, Z-scores in young treated patients (0-2 years -2.1 ± 3.1, n = 10, P = 0.04) were significantly lower than Z-scores in older treated patients (11-19 years, 2 ± 1.9, n = 15). Samples from patients with Turner syndrome differed significantly from samples from untreated patients (-5.2 ± 5.1, n = 24, P = 0.003), and a Z-score of -1.7 was identified as a cut-off showing good diagnostic value for identification of patients with Turner syndrome with reduced ovarian reserve. When this cut-off was applied to other patients, analysis showed that those with indications for reduced ovarian reserve (n = 15) were significantly younger (5.9 ± 4.2 versus 10.7 ± 5.9 years, P = 0.004) and, when untreated, more often had non-malignant haematologic diseases compared with those with normal ovarian reserve (n = 24, 100% versus 19%, P = 0.009). CONCLUSION Z-scores allow the estimation of genetic- and treatment-related effects on follicular density in cortical tissue from young patients stored for fertility preservation. Understanding the quality of cryopreserved tissue facilitates its use during patient counselling. More research is needed regarding the cytostatic effects found in this study.
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Affiliation(s)
- Jasmin Hassan
- Department of Clinical Science, Intervention and Technology, Division of Obstetrics and Gynaecology, Karolinska Institutet, Stockholm, Sweden; Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, Stockholm, Sweden.
| | - Katri Knuus
- Department of Obstetrics and Gynaecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Atte Lahtinen
- Applied Tumour Genomics Research Programme, Faculty of Medicine, University of Helsinki, Finland; Department of Medical and Clinical Genetics, Medicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Ilmatar Rooda
- Department of Clinical Science, Intervention and Technology, Division of Obstetrics and Gynaecology, Karolinska Institutet, Stockholm, Sweden; Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Marjut Otala
- University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Timo Tuuri
- Department of Obstetrics and Gynaecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Sebastian Gidlöf
- Department of Clinical Science, Intervention and Technology, Division of Obstetrics and Gynaecology, Karolinska Institutet, Stockholm, Sweden; Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Erik Edlund
- Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Judith Menezes
- Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Johan Malmros
- Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden; Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Petra Byström
- Department of Clinical Science, Intervention and Technology, Division of Paediatrics, Karolinska Institutet, Stockholm, Sweden; Section of Paediatric Haematology, Immunology and HCT, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Mikael Sundin
- Department of Clinical Science, Intervention and Technology, Division of Paediatrics, Karolinska Institutet, Stockholm, Sweden; Section of Paediatric Haematology, Immunology and HCT, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Cecilia Langenskiöld
- Department of Paediatric Oncology, Queen Silvia Children's Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Hartmut Vogt
- Crown Princess Victoria's Child and Youth Hospital, Linköping, Sweden; Department of Biomedical and Clinical Sciences, Division of Children's and Women's Health, Linköping University, Linköping, Sweden
| | - Per Frisk
- Department of Women's and Children's Health, Uppsala University Children's Hospital, Uppsala, Sweden
| | - Cecilia Petersen
- NORDFERTIL Research Lab Stockholm, Department of Women's and Children's Health, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden; Department of Paediatric Oncology, Karolinska University Hospital, Stockholm, Sweden
| | - Pauliina Damdimopoulou
- Department of Clinical Science, Intervention and Technology, Division of Obstetrics and Gynaecology, Karolinska Institutet, Stockholm, Sweden; Department of Gynaecology and Reproductive Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Kirsi Jahnukainen
- NORDFERTIL Research Lab Stockholm, Department of Women's and Children's Health, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden; Children's Hospital, Paediatric Research Centre, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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Schleedoorn MJ, Peppelman M, van Erp PEJ, Beerendonk CCM, Nelen WLDM, Braat DDM, van Mello NM, Liebenthron J, van der Ven H, Fleischer K, Peek R. Assessment of reflectance confocal microscopy for non-invasive selection of optimal ovarian cortex fragments for autotransplantation. Reprod Biomed Online 2019; 38:999-1009. [PMID: 30954431 DOI: 10.1016/j.rbmo.2018.12.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 10/15/2018] [Accepted: 12/10/2018] [Indexed: 01/29/2023]
Abstract
RESEARCH QUESTION Can reflectance confocal microscopy (RCM) be used to determine follicle density in human ovarian cortex fragments that are intended for fertility restoration? DESIGN RCM was used on living cortex tissue fragments derived from five bovine ovaries and 13 human ovaries. All tissue fragments were cryopreserved and thawed before RCM analysis. Follicle numbers and distribution were determined by RCM and histology. Before and after RCM, general tissue viability and follicle integrity were assessed by a glucose uptake assay and neutral red staining, respectively. RESULTS RCM can detect all stages of follicle development in living ovarian tissue to a maximum depth of 250 µm. In bovine tissue, all follicles were located within this 0-250 µm range. In human ovarian tissue, follicles were also present below the 250 µm RCM threshold, implying that only a percentage of the total number of follicles could be detected with RCM. The percentage of follicles detected by RCM appeared to be age dependent. The RCM procedure did not affect the glucose uptake by the tissue, whereas neutral red staining indicated a high level of follicle survival. CONCLUSION In this proof of concept study, we have shown that RCM is a promising technique to determine the density of follicles ex vivo in living human ovarian cortex fragments, apparently without compromising the vitality of the tissue. Safety studies and further optimization of the RCM technique with a focus on increasing the penetration depth are required before clinical use of RCM.
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