1
|
Parra A, Denkova D, Burgos-Artizzu XP, Aroca E, Casals M, Godeau A, Ares M, Ferrer-Vaquer A, Massafret O, Oliver-Vila I, Mestres E, Acacio M, Costa-Borges N, Rebollo E, Chiang HJ, Fraser SE, Cutrale F, Seriola A, Ojosnegros S. METAPHOR: Metabolic evaluation through phasor-based hyperspectral imaging and organelle recognition for mouse blastocysts and oocytes. Proc Natl Acad Sci U S A 2024; 121:e2315043121. [PMID: 38968128 DOI: 10.1073/pnas.2315043121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 05/25/2024] [Indexed: 07/07/2024] Open
Abstract
Only 30% of embryos from in vitro fertilized oocytes successfully implant and develop to term, leading to repeated transfer cycles. To reduce time-to-pregnancy and stress for patients, there is a need for a diagnostic tool to better select embryos and oocytes based on their physiology. The current standard employs brightfield imaging, which provides limited physiological information. Here, we introduce METAPHOR: Metabolic Evaluation through Phasor-based Hyperspectral Imaging and Organelle Recognition. This non-invasive, label-free imaging method combines two-photon illumination and AI to deliver the metabolic profile of embryos and oocytes based on intrinsic autofluorescence signals. We used it to classify i) mouse blastocysts cultured under standard conditions or with depletion of selected metabolites (glucose, pyruvate, lactate); and ii) oocytes from young and old mouse females, or in vitro-aged oocytes. The imaging process was safe for blastocysts and oocytes. The METAPHOR classification of control vs. metabolites-depleted embryos reached an area under the ROC curve (AUC) of 93.7%, compared to 51% achieved for human grading using brightfield imaging. The binary classification of young vs. old/in vitro-aged oocytes and their blastulation prediction using METAPHOR reached an AUC of 96.2% and 82.2%, respectively. Finally, organelle recognition and segmentation based on the flavin adenine dinucleotide signal revealed that quantification of mitochondria size and distribution can be used as a biomarker to classify oocytes and embryos. The performance and safety of the method highlight the accuracy of noninvasive metabolic imaging as a complementary approach to evaluate oocytes and embryos based on their physiology.
Collapse
Affiliation(s)
- Albert Parra
- Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona 08028, Spain
| | - Denitza Denkova
- Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona 08028, Spain
| | - Xavier P Burgos-Artizzu
- Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona 08028, Spain
- Movumtech SL, Madrid 28003, Spain
| | - Ester Aroca
- Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona 08028, Spain
| | - Marc Casals
- Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona 08028, Spain
| | - Amélie Godeau
- Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona 08028, Spain
| | - Miguel Ares
- Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona 08028, Spain
| | - Anna Ferrer-Vaquer
- Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona 08028, Spain
| | - Ot Massafret
- Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona 08028, Spain
| | | | - Enric Mestres
- Embryotools SL, R&D department, Barcelona 08028, Spain
| | - Mònica Acacio
- Embryotools SL, R&D department, Barcelona 08028, Spain
| | | | - Elena Rebollo
- Advanced Fluorescence Microscopy Unit, Molecular Biology Institute of Barcelona (IBMB - CSIC), Barcelona 08028, Spain
| | - Hsiao Ju Chiang
- Translational Imaging Center, University of Southern California, Los Angeles, CA 90089
- Alfred Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089
| | - Scott E Fraser
- Translational Imaging Center, University of Southern California, Los Angeles, CA 90089
- Alfred Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089
- Department of Biological Sciences, Division of Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089
| | - Francesco Cutrale
- Translational Imaging Center, University of Southern California, Los Angeles, CA 90089
- Alfred Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089
| | - Anna Seriola
- Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona 08028, Spain
| | - Samuel Ojosnegros
- Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona 08028, Spain
| |
Collapse
|
2
|
Chow DJX, Tan TCY, Upadhya A, Lim M, Dholakia K, Dunning KR. Viewing early life without labels: optical approaches for imaging the early embryo†. Biol Reprod 2024; 110:1157-1174. [PMID: 38647415 PMCID: PMC11180623 DOI: 10.1093/biolre/ioae062] [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: 01/28/2024] [Revised: 03/26/2024] [Accepted: 04/18/2024] [Indexed: 04/25/2024] Open
Abstract
Embryo quality is an important determinant of successful implantation and a resultant live birth. Current clinical approaches for evaluating embryo quality rely on subjective morphology assessments or an invasive biopsy for genetic testing. However, both approaches can be inherently inaccurate and crucially, fail to improve the live birth rate following the transfer of in vitro produced embryos. Optical imaging offers a potential non-invasive and accurate avenue for assessing embryo viability. Recent advances in various label-free optical imaging approaches have garnered increased interest in the field of reproductive biology due to their ability to rapidly capture images at high resolution, delivering both morphological and molecular information. This burgeoning field holds immense potential for further development, with profound implications for clinical translation. Here, our review aims to: (1) describe the principles of various imaging systems, distinguishing between approaches that capture morphological and molecular information, (2) highlight the recent application of these technologies in the field of reproductive biology, and (3) assess their respective merits and limitations concerning the capacity to evaluate embryo quality. Additionally, the review summarizes challenges in the translation of optical imaging systems into routine clinical practice, providing recommendations for their future development. Finally, we identify suitable imaging approaches for interrogating the mechanisms underpinning successful embryo development.
Collapse
Affiliation(s)
- Darren J X Chow
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
| | - Tiffany C Y Tan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
| | - Avinash Upadhya
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
| | - Megan Lim
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
| | - Kishan Dholakia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
- School of Biological Sciences, The University of Adelaide, Adelaide, Australia
- Scottish Universities Physics Alliance, School of Physics and Astronomy, University of St Andrews, St Andrews, United Kingdom
| | - Kylie R Dunning
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, Australia
- Centre of Light for Life, The University of Adelaide, Adelaide, Australia
| |
Collapse
|
3
|
Campbell JM, Gosnell M, Agha A, Handley S, Knab A, Anwer AG, Bhargava A, Goldys EM. Label-Free Assessment of Key Biological Autofluorophores: Material Characteristics and Opportunities for Clinical Applications. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2403761. [PMID: 38775184 DOI: 10.1002/adma.202403761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/04/2024] [Indexed: 06/13/2024]
Abstract
Autofluorophores are endogenous fluorescent compounds that naturally occur in the intra and extracellular spaces of all tissues and organs. Most have vital biological functions - like the metabolic cofactors NAD(P)H and FAD+, as well as the structural protein collagen. Others are considered to be waste products - like lipofuscin and advanced glycation end products - which accumulate with age and are associated with cellular dysfunction. Due to their natural fluorescence, these materials have great utility for enabling non-invasive, label-free assays with direct ties to biological function. Numerous technologies, with different advantages and drawbacks, are applied to their assessment, including fluorescence lifetime imaging microscopy, hyperspectral microscopy, and flow cytometry. Here, the applications of label-free autofluorophore assessment are reviewed for clinical and health-research applications, with specific attention to biomaterials, disease detection, surgical guidance, treatment monitoring, and tissue assessment - fields that greatly benefit from non-invasive methodologies capable of continuous, in vivo characterization.
Collapse
Affiliation(s)
- Jared M Campbell
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | | | - Adnan Agha
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Shannon Handley
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Aline Knab
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Ayad G Anwer
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Akanksha Bhargava
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Ewa M Goldys
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| |
Collapse
|
4
|
Shivaani M, Madan P. Application of imaging and spectroscopy techniques for grading of bovine embryos - a review. Front Vet Sci 2024; 11:1364570. [PMID: 38774909 PMCID: PMC11107339 DOI: 10.3389/fvets.2024.1364570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/18/2024] [Indexed: 05/24/2024] Open
Abstract
Although embryo transfers have grown considerably in the cattle industry, the selection of embryos required for successful pregnancies remains a challenging task. Visual inspection of 7th-day embryos using a stereomicroscope, followed by classification based on morphological features is the most commonly practiced procedure. However, there are inaccuracies and inconsistencies in the manual grading of bovine embryos. The objective of this review was to evaluate the potential of imaging and spectroscopic techniques in the selection of bovine embryos. Digital analysis of microscopic images through extracting visual features in the embryo region, and classification using machine learning methods have yielded about 88-96% success in pregnancies. The Raman spectral pattern provides valuable information regarding developmental stages and quality of the embryo. The Raman spectroscopy approach has also been successfully used to determine various parameters of bovine oocytes. Besides, Fourier Transform Infrared (FTIR) spectroscopy has the ability to assess embryo quality through analyzing embryo composition, including nucleic acid and amides present. Hyperspectral Imaging has also been used to characterize metabolite production during embryo growth. Although the time-lapse imaging approach is beneficial for morphokinetics evaluation of embryo development, optimized protocols are required for successful implementation in bovine embryo transfers. Most imaging and spectroscopic findings are still only at an experimental stage. Further research is warranted to improve the repeatability and practicality to implement in commercial facilities.
Collapse
Affiliation(s)
| | - Pavneesh Madan
- Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| |
Collapse
|
5
|
Latham KE. Preimplantation genetic testing: A remarkable history of pioneering, technical challenges, innovations, and ethical considerations. Mol Reprod Dev 2024; 91:e23727. [PMID: 38282313 DOI: 10.1002/mrd.23727] [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: 10/11/2023] [Accepted: 12/15/2023] [Indexed: 01/30/2024]
Abstract
Preimplantation genetic testing (PGT) has emerged as a powerful companion to assisted reproduction technologies. The origins and history of PGT are reviewed here, along with descriptions of advances in molecular assays and sampling methods, their capabilities, and their applications in preventing genetic diseases and enhancing pregnancy outcomes. Additionally, the potential for increasing accuracy and genome coverage is considered, as well as some of the emerging ethical and legislative considerations related to the expanding capabilities of PGT.
Collapse
Affiliation(s)
- Keith E Latham
- Department of Animal Science, Michigan State University, East Lansing, Michigan, USA
- Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University, East Lansing, Michigan, USA
- Reproductive and Developmental Sciences Program, Michigan State University, East Lansing, Michigan, USA
| |
Collapse
|
6
|
Gardner DK, Sakkas D. Making and selecting the best embryo in the laboratory. Fertil Steril 2023; 120:457-466. [PMID: 36521518 DOI: 10.1016/j.fertnstert.2022.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 10/20/2022] [Accepted: 11/07/2022] [Indexed: 12/15/2022]
Abstract
Over the past 4 decades our ability to maintain a viable human embryo in vitro has improved dramatically, leading to higher implantation rates. This has led to a notable shift to single blastocyst transfer and the ensuing elimination of high order multiple gestations. Future improvements to embryo culture systems will not only come from new improved innovative media formulations (such as the inclusion of antioxidants), but plausibly by moving away from static culture to more dynamic perfusion-based systems now made a reality owing to the breakthroughs in three-dimensional printing technology and micro fabrication. Such an approach has already made it feasible to create high resolution devices for intracytoplasmic sperm injection, culture, and cryopreservation, paving the way not only for improvements in outcomes but also automation of assisted reproductive technology. Although improvements in culture systems can lead to further increases in pregnancy outcomes, the ability to quantitate biomarkers of embryo health and viability will reduce time to pregnancy and decrease pregnancy loss. Currently artificial intelligence is being used to assess embryo development through image analysis, but we predict its power will be realized through the creation of selection algorithms based on the integration of information related to metabolic functions, cell-free DNA, and morphokinetics, thereby using vast amounts of different data types obtained for each embryo to predict outcomes. All of this will not only make assisted reproductive technology more effective, but it will also make it more cost effective, thereby increasing patient access to infertility treatment worldwide.
Collapse
Affiliation(s)
- David K Gardner
- Melbourne IVF, East Melbourne, Victoria, Australia; School of BioSciences, University of Melbourne, Melbourne, Victoria, Australia.
| | | |
Collapse
|
7
|
Tan TCY, Dunning KR. Non-invasive assessment of oocyte developmental competence. Reprod Fertil Dev 2022; 35:39-50. [PMID: 36592982 DOI: 10.1071/rd22217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Oocyte quality is a key factor influencing IVF success. The oocyte and surrounding cumulus cells, known collectively as the cumulus oocyte complex (COC), communicate bi-directionally and regulate each other's metabolic function to support oocyte growth and maturation. Many studies have attempted to associate metabolic markers with oocyte quality, including metabolites in follicular fluid or 'spent medium' following maturation, gene expression of cumulus cells and measuring oxygen consumption in medium surrounding COCs. However, these methods fail to provide spatial metabolic information on the separate oocyte and cumulus cell compartments. Optical imaging of the autofluorescent cofactors - reduced nicotinamide adenine dinucleotide (phosphate) [NAD(P)H] and flavin adenine dinucleotide (FAD) - has been put forward as an approach to generate spatially resolved measurements of metabolism within individual cells of the COC. The optical redox ratio (FAD/[NAD(P)H+FAD]), calculated from these cofactors, can act as an indicator of overall metabolic activity in the oocyte and cumulus cell compartments. Confocal microscopy, fluorescence lifetime imaging microscopy (FLIM) and hyperspectral microscopy may be used for this purpose. This review provides an overview of current optical imaging techniques that capture the inner biochemistry within cells of the COC and discusses the potential for such imaging to assess oocyte developmental competence.
Collapse
Affiliation(s)
- Tiffany C Y Tan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
| | - Kylie R Dunning
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia
| |
Collapse
|
8
|
Yagoub SH, Lim M, Tan TCY, Chow DJX, Dholakia K, Gibson BC, Thompson JG, Dunning KR. Vitrification within a nanoliter volume: oocyte and embryo cryopreservation within a 3D photopolymerized device. J Assist Reprod Genet 2022; 39:1997-2014. [PMID: 35951146 PMCID: PMC9474789 DOI: 10.1007/s10815-022-02589-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose Vitrification permits long-term banking of oocytes and embryos. It is a technically challenging procedure requiring direct handling and movement of cells between potentially cytotoxic cryoprotectant solutions. Variation in adherence to timing, and ability to trace cells during the procedure, affects survival post-warming. We hypothesized that minimizing direct handling will simplify the procedure and improve traceability. To address this, we present a novel photopolymerized device that houses the sample during vitrification. Methods The fabricated device consisted of two components: the Pod and Garage. Single mouse oocytes or embryos were housed in a Pod, with multiple Pods docked into a Garage. The suitability of the device for cryogenic application was assessed by repeated vitrification and warming cycles. Oocytes or early blastocyst-stage embryos were vitrified either using standard practice or within Pods and a Garage and compared to non-vitrified control groups. Post-warming, we assessed survival rate, oocyte developmental potential (fertilization and subsequent development) and metabolism (autofluorescence). Results Vitrification within the device occurred within ~ 3 nL of cryoprotectant: this volume being ~ 1000-fold lower than standard vitrification. Compared to standard practice, vitrification and warming within our device showed no differences in viability, developmental competency, or metabolism for oocytes and embryos. The device housed the sample during processing, which improved traceability and minimized handling. Interestingly, vitrification-warming itself, altered oocyte and embryo metabolism. Conclusion The Pod and Garage system minimized the volume of cryoprotectant at vitrification—by ~ 1000-fold—improved traceability and reduced direct handling of the sample. This is a major step in simplifying the procedure.
Supplementary information The online version contains supplementary material available at 10.1007/s10815-022-02589-8.
Collapse
Affiliation(s)
- Suliman H Yagoub
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia
| | - Megan Lim
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia
| | - Tiffany C Y Tan
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia
| | - Darren J X Chow
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia
| | - Kishan Dholakia
- School of Physics and Astronomy, University of St Andrews, North Haugh, Scotland, KY16 9SS.,School of Biological Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia.,Department of Physics, College of Science, Yonsei University, Seoul, 03722, South Korea
| | - Brant C Gibson
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Science, RMIT, Melbourne, VIC, 3001, Australia
| | - Jeremy G Thompson
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia.,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia.,Fertilis Pty Ltd, Adelaide, South Australia, 5005, Australia
| | - Kylie R Dunning
- Australian Research Council (ARC) Centre of Excellence for Nanoscale BioPhotonics (CNBP), Adelaide, South Australia, 5000, Australia. .,School of Biomedicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia. .,Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, 5000, Australia.
| |
Collapse
|
9
|
Tan TCY, Brown HM, Thompson JG, Mustafa S, Dunning KR. Optical imaging detects metabolic signatures associated with oocyte quality. Biol Reprod 2022; 107:1014-1025. [PMID: 35863764 PMCID: PMC9562116 DOI: 10.1093/biolre/ioac145] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 06/02/2022] [Accepted: 07/11/2022] [Indexed: 11/14/2022] Open
Abstract
Oocyte developmental potential is intimately linked to metabolism. Existing approaches to measure metabolism in the cumulus oocyte complex (COC) do not provide information on the separate cumulus and oocyte compartments. Development of an assay that achieves this may lead to an accurate diagnostic for oocyte quality. Optical imaging of the autofluorescent cofactors NAD(P)H and FAD provides a spatially resolved indicator of metabolism via the optical redox ratio ($\mathrm{FAD}/\left[\mathrm{NAD}\left(\mathrm{P}\right)\mathrm{H}+\mathrm{FAD}\right]$). This may provide an assessment of oocyte quality. Here, we determined whether the optical redox ratio is a robust methodology for measuring metabolism in the cumulus and oocyte compartments compared with oxygen consumption in the whole COC. We also determined whether optical imaging could detect metabolic differences associated with poor oocyte quality (etomoxir-treated). We used confocal microscopy to measure NAD(P)H and FAD, and extracellular flux to measure oxygen consumption. We found that the optical redox ratio was an accurate reflection of metabolism in the oocyte compartment when compared with oxygen consumption (whole COC). Etomoxir-treated COCs showed significantly lower levels of NAD(P)H and FAD compared to control. While confocal imaging demonstrated the premise, we validated this approach using hyperspectral imaging, which is clinically compatible due to its low energy dose. This confirmed lower NAD(P)H and FAD in etomoxir-treated COCs. When comparing imaged vs non-imaged COCs, subsequent preimplantation development and post-transfer viability were comparable. Collectively, these results demonstrate that label-free optical imaging of metabolic cofactors is a safe and sensitive assay for measuring metabolism and has potential to assess oocyte developmental competence.
Collapse
Affiliation(s)
- Tiffany C Y Tan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, South Australia, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, South Australia, Australia.,Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia, Australia
| | - Hannah M Brown
- Victorian Heart Institute, Monash University, Clayton, Victoria, Australia
| | - Jeremy G Thompson
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, South Australia, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, South Australia, Australia.,Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia, Australia.,Fertilis Pty Ltd, Adelaide, South Australia, 5005, Australia
| | - Sanam Mustafa
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, South Australia, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, South Australia, Australia.,Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia, Australia
| | - Kylie R Dunning
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, South Australia, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, South Australia, Australia.,Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia, Australia
| |
Collapse
|
10
|
Campbell JM, Mahbub SB, Bertoldo MJ, Habibalahi A, Goss DM, Ledger WL, Gilchrist RB, Wu LE, Goldys EM. Multispectral autofluorescence characteristics of reproductive aging in old and young mouse oocytes. Biogerontology 2022; 23:237-249. [PMID: 35211812 PMCID: PMC9023381 DOI: 10.1007/s10522-022-09957-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 02/14/2022] [Indexed: 12/16/2022]
Abstract
Increasing age has a major detrimental impact on female fertility, which, with an ageing population, has major sociological implications. This impact is primarily mediated through deteriorating quality of the oocyte. Deteriorating oocyte quality with biological age is the greatest rate-limiting factor to female fertility. Here we have used label-free, non-invasive multi-spectral imaging to identify unique autofluorescence profiles of oocytes from young and aged animals. Discriminant analysis demonstrated that young oocytes have a distinct autofluorescent profile which accurately distinguishes them from aged oocytes. We recently showed that treatment with the nicotinamide adenine dinucleotide (NAD+) precursor nicotinamide mononucleotide (NMN) restored oocyte quality and fertility in aged animals, and when our analysis was applied to oocytes from aged animals treated with NMN, 85% of these oocytes were classified as having the autofluorescent signature of young animals. Spectral unmixing using the Robust Dependent Component Analysis (RoDECA) algorithm demonstrated that NMN treatment altered the metabolic profile of oocytes, increasing free NAD(P)H, protein bound NAD(P)H, redox ratio and the ratio of bound to free NAD(P)H. The frequency of oocytes with simultaneously high NAD(P)H and flavin content was also significantly increased in mice treated with NMN. Young and Aged + NMN oocytes had a smoother spectral distribution, with the distribution of NAD(P)H in young oocytes specifically differing from that of aged oocytes. Identifying the multispectral profile of oocyte autofluorescence during aging could have utility as a non-invasive and sensitive measure of oocyte quality.
Collapse
Affiliation(s)
- Jared M Campbell
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia.
| | - Saabah B Mahbub
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia
| | - Michael J Bertoldo
- Discipline of Women's Health, School of Clinical Medicine, University of New South Wales Sydney, Sydney, Australia
- School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
| | - Abbas Habibalahi
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia
| | - Dale M Goss
- School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
| | - William L Ledger
- Discipline of Women's Health, School of Clinical Medicine, University of New South Wales Sydney, Sydney, Australia
| | - Robert B Gilchrist
- Discipline of Women's Health, School of Clinical Medicine, University of New South Wales Sydney, Sydney, Australia
| | - Lindsay E Wu
- School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
| | - Ewa M Goldys
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia
| |
Collapse
|
11
|
Venturas M, Shah JS, Yang X, Sanchez TH, Conway W, Sakkas D, Needleman DJ. Metabolic state of human blastocysts measured by fluorescence lifetime imaging microscopy. Hum Reprod 2022; 37:411-427. [PMID: 34999823 DOI: 10.1093/humrep/deab283] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/27/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY QUESTION Can non-invasive metabolic imaging via fluorescence lifetime imaging microscopy (FLIM) detect variations in metabolic profiles between discarded human blastocysts? SUMMARY ANSWER FLIM revealed extensive variations in the metabolic state of discarded human blastocysts associated with blastocyst development over 36 h, the day after fertilization and blastocyst developmental stage, as well as metabolic heterogeneity within individual blastocysts. WHAT IS KNOWN ALREADY Mammalian embryos undergo large changes in metabolism over the course of preimplantation development. Embryo metabolism has long been linked to embryo viability, suggesting its potential utility in ART to aid in selecting high quality embryos. However, the metabolism of human embryos remains poorly characterized due to a lack of non-invasive methods to measure their metabolic state. STUDY DESIGN, SIZE, DURATION We conducted a prospective observational study. We used 215 morphologically normal human embryos from 137 patients that were discarded and donated for research under an approved institutional review board protocol. These embryos were imaged using metabolic imaging via FLIM to measure the autofluorescence of two central coenzymes, nicotinamide adenine (phosphate) dinucleotide (NAD(P)H) and flavine adenine dinucleotide (FAD+), which are essential for cellular respiration and glycolysis. PARTICIPANTS/MATERIALS, SETTING, METHODS Here, we used non-invasive FLIM to measure the metabolic state of human blastocysts. We first studied spatial patterns in the metabolic state within human blastocysts and the association of the metabolic state of the whole blastocysts with stage of expansion, day of development since fertilization and morphology. We explored the sensitivity of this technique in detecting metabolic variations between blastocysts from the same patient and between patients. Next, we explored whether FLIM can quantitatively measure metabolic changes through human blastocyst expansion and hatching via time-lapse imaging. For all test conditions, the level of significance was set at P < 0.05 after correction for multiple comparisons using Benjamini-Hochberg's false discovery rate. MAIN RESULTS AND THE ROLE OF CHANCE We found that FLIM is sensitive enough to detect significant metabolic differences between blastocysts. We found that metabolic variations between blastocyst are partially explained by both the time since fertilization and their developmental expansion stage (P < 0.05), but not their morphological grade. Substantial metabolic variations between blastocysts from the same patients remain, even after controlling for these factors. We also observe significant metabolic heterogeneity within individual blastocysts, including between the inner cell mass and the trophectoderm, and between the portions of hatching blastocysts within and without the zona pellucida (P < 0.05). And finally, we observed that the metabolic state of human blastocysts continuously varies over time. LIMITATIONS, REASONS FOR CAUTION Although we observed significant variations in metabolic parameters, our data are taken from human blastocysts that were discarded and donated for research and we do not know their clinical outcome. Moreover, the embryos used in this study are a mixture of aneuploid, euploid and embryos of unknown ploidy. WIDER IMPLICATIONS OF THE FINDINGS This work reveals novel aspects of the metabolism of human blastocysts and suggests that FLIM is a promising approach to assess embryo viability through non-invasive, quantitative measurements of their metabolism. These results further demonstrate that FLIM can provide biologically relevant information that may be valuable for the assessment of embryo quality. STUDY FUNDING/COMPETING INTEREST(S) Supported by the Blavatnik Biomedical Accelerator Grant at Harvard University. Becker and Hickl GmbH and Boston Electronics sponsored research with the loaning of equipment for FLIM. D.J.N. is an inventor on patent US20170039415A1. TRIAL REGISTRATION NUMBER N/A.
Collapse
Affiliation(s)
- Marta Venturas
- Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.,Departament de Biologia Cellular, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, Cerdanyola, Spain
| | - Jaimin S Shah
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.,Boston IVF, Waltham, MA, USA
| | - Xingbo Yang
- Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | | | - William Conway
- Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.,Physics Department, Harvard University, Cambridge, MA, USA
| | | | - Dan J Needleman
- Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.,Physics Department, Harvard University, Cambridge, MA, USA.,Center for Computational Biology, Flatiron Institute, New York, NY, USA
| |
Collapse
|
12
|
|
13
|
Wrenzycki C. Parameters to identify good quality oocytes and embryos in cattle. Reprod Fertil Dev 2021; 34:190-202. [PMID: 35231232 DOI: 10.1071/rd21283] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Oocyte/embryo selection methodologies are either invasive or noninvasive and can be applied at various stages of development from the oocyte to cleaved embryos and up to the blastocyst stage. Morphology and the proportion of embryos developing to the blastocyst stage are important criteria to assess developmental competence. Evaluation of morphology remains the method of choice for selecting viable oocytes for IVP or embryos prior to transfer. Although non-invasive approaches are improving, invasive ones have been extremely helpful in finding candidate genes to determine oocyte/embryo quality. There is still a strong need for further refinement of existing oocyte and embryo selection methods and quality parameters. The development of novel, robust and non-invasive procedures will ensure that only embryos with the highest developmental potential are chosen for transfer. In the present review, various methods for assessing the quality of oocytes and preimplantation embryos, particularly in cattle, are considered. These methods include assessment of morphology including different staining procedures, transcriptomic and proteomic analyses, metabolic profiling, as well as the use of artificial intelligence technologies.
Collapse
Affiliation(s)
- Christine Wrenzycki
- Chair for Molecular Reproductive Medicine, Clinic for Veterinary Obstetrics, Gynecology and Andrology of Large and Small Animals, Justus-Liebig-University Giessen, Frankfurter Straße 106, Giessen 35392, Germany
| |
Collapse
|
14
|
Tan TCY, Mahbub SB, Campbell JM, Habibalahi A, Campugan CA, Rose RD, Chow DJX, Mustafa S, Goldys EM, Dunning KR. Non-invasive, label-free optical analysis to detect aneuploidy within the inner cell mass of the preimplantation embryo. Hum Reprod 2021; 37:14-29. [PMID: 34741175 DOI: 10.1093/humrep/deab233] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 09/28/2021] [Indexed: 11/13/2022] Open
Abstract
STUDY QUESTION Can label-free, non-invasive optical imaging by hyperspectral autofluorescence microscopy discern between euploid and aneuploid cells within the inner cell mass (ICM) of the mouse preimplantation embryo? SUMMARY ANSWER Hyperspectral autofluorescence microscopy enables discrimination between euploid and aneuploid ICM in mouse embryos. WHAT IS KNOWN ALREADY Euploid/aneuploid mosaicism affects up to 17.3% of human blastocyst embryos with trophectoderm biopsy or spent media currently utilized to diagnose aneuploidy and mosaicism in clinical in vitro fertilization. Based on their design, these approaches will fail to diagnose the presence or proportion of aneuploid cells within the foetal lineage ICM of some blastocyst embryos. STUDY DESIGN, SIZE, DURATION The impact of aneuploidy on cellular autofluorescence and metabolism of primary human fibroblast cells and mouse embryos was assessed using a fluorescence microscope adapted for imaging with multiple spectral channels (hyperspectral imaging). Primary human fibroblast cells with known ploidy were subjected to hyperspectral imaging to record native cell fluorescence (4-6 independent replicates, euploid n = 467; aneuploid n = 969). For mouse embryos, blastomeres from the eight-cell stage (five independent replicates: control n = 39; reversine n = 44) and chimeric blastocysts (eight independent replicates: control n = 34; reversine n = 34; 1:1 (control:reversine) n = 30 and 1:3 (control:reversine) n = 37) were utilized for hyperspectral imaging. The ICM from control and reversine-treated embryos were mechanically dissected and their karyotype confirmed by whole genome sequencing (n = 13 euploid and n = 9 aneuploid). PARTICIPANTS/MATERIALS, SETTING, METHODS Two models were employed: (i) primary human fibroblasts with known karyotype and (ii) a mouse model of embryo aneuploidy where mouse embryos were treated with reversine, a reversible spindle assembly checkpoint inhibitor, during the four- to eight-cell division. Individual blastomeres were dissociated from control and reversine-treated eight-cell embryos and either imaged directly or used to generate chimeric blastocysts with differing ratios of control:reversine-treated cells. Individual blastomeres and embryos were interrogated by hyperspectral imaging. Changes in cellular metabolism were determined by quantification of metabolic co-factors (inferred from their autofluorescence signature): NAD(P)H and flavins with the subsequent calculation of the optical redox ratio (ORR: flavins/[NAD(P)H + flavins]). Autofluorescence signals obtained from hyperspectral imaging were examined mathematically to extract features from each cell/blastomere/ICM. This was used to discriminate between different cell populations. MAIN RESULTS AND THE ROLE OF CHANCE An increase in the relative abundance of NAD(P)H and decrease in flavins led to a significant reduction in the ORR for aneuploid cells in primary human fibroblasts and reversine-treated mouse blastomeres (P < 0.05). Mathematical analysis of endogenous cell autofluorescence achieved separation between (i) euploid and aneuploid primary human fibroblast cells, (ii) control and reversine-treated mouse blastomeres cells, (iii) control and reversine-treated chimeric blastocysts, (iv) 1:1 and 1:3 chimeric blastocysts and (v) confirmed euploid and aneuploid ICM from mouse blastocysts. The accuracy of these separations was supported by receiver operating characteristic curves with areas under the curve of 0.97, 0.99, 0.87, 0.88 and 0.93, respectively. We believe that the role of chance is low as mathematical features separated euploid from aneuploid in both human fibroblasts and ICM of mouse blastocysts. LARGE SCALE DATA N/A. LIMITATIONS, REASONS FOR CAUTION Although we were able to discriminate between euploid and aneuploid ICM in mouse blastocysts, confirmation of this approach in human embryos is required. While we show this approach is safe in mouse, further validation is required in large animal species prior to implementation in a clinical setting. WIDER IMPLICATIONS OF THE FINDINGS We have developed an original, accurate and non-invasive optical approach to assess aneuploidy within the ICM of mouse embryos in the absence of fluorescent tags. Hyperspectral autofluorescence imaging was able to discriminate between euploid and aneuploid human fibroblast and mouse blastocysts (ICM). This approach may potentially lead to a new diagnostic for embryo analysis. STUDY FUNDING/COMPETING INTEREST(S) K.R.D. is supported by a Mid-Career Fellowship from the Hospital Research Foundation (C-MCF-58-2019). This study was funded by the Australian Research Council Centre of Excellence for Nanoscale Biophotonics (CE140100003) and the National Health and Medical Research Council (APP2003786). The authors declare that there is no conflict of interest.
Collapse
Affiliation(s)
- Tiffany C Y Tan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Saabah B Mahbub
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Jared M Campbell
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Abbas Habibalahi
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Carl A Campugan
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Ryan D Rose
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Fertility SA, St. Andrews Hospital, Adelaide, SA, Australia
| | - Darren J X Chow
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Sanam Mustafa
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| | - Ewa M Goldys
- The Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Kensington, NSW, Australia.,Australian Research Council Centre of Excellence Centre for Nanoscale Biophotonics, University of New South Wales, Kensington, NSW, Australia
| | - Kylie R Dunning
- Robinson Research Institute, School of Biomedicine, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale Biophotonics, The University of Adelaide, Adelaide, SA, Australia
| |
Collapse
|
15
|
Optical imaging of cleavage stage bovine embryos using hyperspectral and confocal approaches reveals metabolic differences between on-time and fast-developing embryos. Theriogenology 2020; 159:60-68. [PMID: 33113445 DOI: 10.1016/j.theriogenology.2020.10.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 10/07/2020] [Accepted: 10/07/2020] [Indexed: 01/15/2023]
Abstract
The assessment of embryo quality aims to enhance subsequent pregnancy and live birth outcomes. Metabolic analysis of embryos has immense potential in this regard. As a step towards this goal, here we assess the metabolism of bovine embryos using label-free optical imaging. We compared embryos defined as either on-time or fast-developing, as fast dividing embryos are more likely to develop to the blastocyst stage. Specifically, bovine embryos at 48 (Day 2) and 96 (Day 4) hours post fertilization were fixed and separated based on morphological assessment: on-time (Day 2: 2 cell; Day 4: 5-7 cell) or fast-developing (Day 2: 3-7 cell; Day 4: 8-16 cell). Embryos with different developmental rates on Day 2 and Day 4 were correlated with metabolic activity and DNA damage. Confocal microscopy was used to assess metabolic activity by quantification of cellular autofluorescence specific for the endogenous fluorophores NAD(P)H and FAD with a subsequent calculation of the optical redox ratio. Separately, hyperspectral microscopy was employed to assess a broader range of endogenous fluorophores. DNA damage was determined using γH2AX immunohistochemistry. Hyperspectral imaging showed significantly lower abundance of endogenous fluorophores in fast-developing compared to on-time embryos on Day 2, indicating a lower metabolic activity. On Day 4 of development there was no difference in the abundance of FAD between on-time and fast-developing embryos. There was, however, significantly higher levels of NAD(P)H in fast-developing embryos leading to a significantly lower optical redox ratio when compared to on-time embryos. Collectively, these results demonstrate that fast-developing embryos present a 'quiet' metabolic pattern on Day 2 and Day 4 of development, compared to on-time embryos. There was no difference in the level of DNA damage between on-time and fast-developing embryos on either day of development. To our knowledge, this is the first collective use of confocal and hyperspectral imaging in cleavage-stage bovine embryos in the absence of fluorescent tags.
Collapse
|
16
|
Richani D, Dunning KR, Thompson JG, Gilchrist RB. Metabolic co-dependence of the oocyte and cumulus cells: essential role in determining oocyte developmental competence. Hum Reprod Update 2020; 27:27-47. [PMID: 33020823 DOI: 10.1093/humupd/dmaa043] [Citation(s) in RCA: 124] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 08/19/2020] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Within the antral follicle, the oocyte is reliant on metabolic support from its surrounding somatic cells. Metabolism plays a critical role in oocyte developmental competence (oocyte quality). In the last decade, there has been significant progress in understanding the metabolism of the cumulus-oocyte complex (COC) during its final stages of growth and maturation in the follicle. Certain metabolic conditions (e.g. obesity) or ART (e.g. IVM) perturb COC metabolism, providing insights into metabolic regulation of oocyte quality. OBJECTIVE AND RATIONALE This review provides an update on the progress made in our understanding of COC metabolism, and the metabolic conditions that influence both meiotic and developmental competence of the oocyte. SEARCH METHODS The PubMed database was used to search for peer-reviewed original and review articles. Searches were performed adopting the main terms 'oocyte metabolism', 'cumulus cell metabolism', 'oocyte maturation', 'oocyte mitochondria', 'oocyte metabolism', 'oocyte developmental competence' and 'oocyte IVM'. OUTCOMES Metabolism is a major determinant of oocyte quality. Glucose is an essential requirement for both meiotic and cytoplasmic maturation of the COC. Glucose is the driver of cumulus cell metabolism and is essential for energy production, extracellular matrix formation and supply of pyruvate to the oocyte for ATP production. Mitochondria are the primary source of ATP production within the oocyte. Recent advances in real-time live cell imaging reveal dynamic fluctuations in ATP demand throughout oocyte maturation. Cumulus cells have been shown to play a central role in maintaining adequate oocyte ATP levels by providing metabolic support through gap junctional communication. New insights have highlighted the importance of oocyte lipid metabolism for oocyte oxidative phosphorylation for ATP production, meiotic progression and developmental competence. Within the last decade, several new strategies for improving the developmental competence of oocytes undergoing IVM have emerged, including modulation of cyclic nucleotides, the addition of precursors for the antioxidant glutathione or endogenous maturation mediators such as epidermal growth factor-like peptides and growth differentiation factor 9/bone morphogenetic protein 15. These IVM additives positively alter COC metabolic endpoints commonly associated with oocyte competence. There remain significant challenges in the study of COC metabolism. Owing to the paucity in non-invasive or in situ techniques to assess metabolism, most work to date has used in vitro or ex vivo models. Additionally, the difficulty of measuring oocyte and cumulus cell metabolism separately while still in a complex has led to the frequent use of denuded oocytes, the results from which should be interpreted with caution since the oocyte and cumulus cell compartments are metabolically interdependent, and oocytes do not naturally exist in a naked state until after fertilization. There are emerging tools, including live fluorescence imaging and photonics probes, which may provide ways to measure the dynamic nature of metabolism in a single oocyte, potentially while in situ. WIDER IMPLICATIONS There is an association between oocyte metabolism and oocyte developmental competence. Advancing our understanding of basic cellular and biochemical mechanisms regulating oocyte metabolism may identify new avenues to augment oocyte quality and assess developmental potential in assisted reproduction.
Collapse
Affiliation(s)
- Dulama Richani
- School of Women's and Children's Health, Fertility & Research Centre, University of New South Wales Sydney, Sydney, NSW, Australia
| | - Kylie R Dunning
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, SA, Australia.,Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA, Australia
| | - Jeremy G Thompson
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.,Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, SA, Australia.,Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA, Australia
| | - Robert B Gilchrist
- School of Women's and Children's Health, Fertility & Research Centre, University of New South Wales Sydney, Sydney, NSW, Australia
| |
Collapse
|
17
|
Ferrick L, Lee YSL, Gardner DK. Reducing time to pregnancy and facilitating the birth of healthy children through functional analysis of embryo physiology†. Biol Reprod 2020; 101:1124-1139. [PMID: 30649216 DOI: 10.1093/biolre/ioz005] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 12/21/2018] [Accepted: 01/09/2019] [Indexed: 12/12/2022] Open
Abstract
An ever-increasing number of couples rely on assisted reproductive technologies (ART) in order to conceive a child. Although advances in embryo culture have led to increases in the success rates of clinical ART, it often takes more than one treatment cycle to conceive a child. Ensuring patients conceive as soon as possible with a healthy embryo is a priority for reproductive medicine. Currently, selection of embryos for transfer relies predominantly on the morphological assessment of the preimplantation embryo; however, morphology is not an absolute link to embryo physiology, nor the health of the resulting child. Non-invasive quantitation of individual embryo physiology, a key regulator of both embryo viability and health, could provide valuable information to assist in the selection of the most viable embryo for transfer, hence reducing the time to pregnancy. Further, according to the Barker Hypothesis, the environment to which a fetus is exposed to during gestation affects subsequent offspring health. If the environment of the preimplantation period is capable of affecting metabolism, which in turn will affect gene expression through the metaboloepigenetic link, then assessment of embryo metabolism should represent an indirect measure of future offspring health. Previously, the term viable embryo has been used in association with the potential of an embryo to establish a pregnancy. Here, we propose the term healthy embryo to reflect the capacity of that embryo to lead to a healthy child and adult.
Collapse
Affiliation(s)
- Laura Ferrick
- School of BioSciences, University of Melbourne, VIC, Australia
| | | | - David K Gardner
- School of BioSciences, University of Melbourne, VIC, Australia.,Melbourne IVF, East Melbourne, VIC, Australia
| |
Collapse
|
18
|
Apter S, Ebner T, Freour T, Guns Y, Kovacic B, Le Clef N, Marques M, Meseguer M, Montjean D, Sfontouris I, Sturmey R, Coticchio G. Good practice recommendations for the use of time-lapse technology †. Hum Reprod Open 2020; 2020:hoaa008. [PMID: 32206731 PMCID: PMC7081060 DOI: 10.1093/hropen/hoaa008] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 12/05/2019] [Accepted: 01/29/2020] [Indexed: 12/26/2022] Open
Affiliation(s)
| | | | - Thomas Ebner
- Department of Gynecology, Obstetrics, and Gynecological Endocrinology, Kepler Universitätsklinikum, Linz, Austria
| | - Thomas Freour
- Médecine de la Reproduction, CHU de Nantes, Nantes, France
| | - Yves Guns
- Center for Reproductive Medicine, UZ Brussel, Brussels, Belgium
| | - Borut Kovacic
- Department of Reproductive Medicine and Gynecologic Endocrinology, Univerzitetni klinicni center Maribor, Maribor, Slovenia
| | - Nathalie Le Clef
- European Society of Human Reproduction and Embryology, Grimbergen, Belgium
| | | | - Marcos Meseguer
- IVF Laboratory, Instituto Valenciano de Infertilidad, Valencia, Spain
| | - Debbie Montjean
- Médecine et Biologie de la Reproduction, Hopital Saint Joseph, Marseille, France
| | | | - Roger Sturmey
- Centre for Atherothrombosis and Metabolic Disease, Hull York Medical School, University of Hull, Hull, UK
| | | |
Collapse
|
19
|
Rubessa M, Wheeler MB. Label-free microscopy: A non-invasive new tool to assess gametes and embryo quality. Theriogenology 2020; 150:241-246. [PMID: 32088035 DOI: 10.1016/j.theriogenology.2020.01.065] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 01/28/2020] [Indexed: 10/25/2022]
Abstract
In PubMed, it is possible to find more than 40,000 papers on embryo evaluation in various species. However, there is no consensus or gold standard method on how to assess their developmental potential. In assisted reproduction the evaluation "problem" is not only limited to embryos but involves the gametes as well. This manuscript provides an overview of some possible applications of label-free microscopy, in particular we describe the potential of the holographic microscopy in the IVF lab. We describe the positive aspects of several currently available microscopy label-free systems. In conclusion, we believe that a next generation of microscopy able to give objective markers for gamete and embryo quality is around the corner.
Collapse
Affiliation(s)
| | - Matthew B Wheeler
- Dept. Animal Sciences, USA; Beckman Institute for Advanced Science and Technology, USA; Dept. Bioengineering, The University of Illinois at Urbana-Champaign, USA
| |
Collapse
|
20
|
McLennan HJ, Saini A, Dunning KR, Thompson JG. Oocyte and embryo evaluation by AI and multi-spectral auto-fluorescence imaging: Livestock embryology needs to catch-up to clinical practice. Theriogenology 2020; 150:255-262. [PMID: 32088032 DOI: 10.1016/j.theriogenology.2020.01.061] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 01/28/2020] [Indexed: 02/08/2023]
Abstract
A highly accurate 'non-invasive quantitative embryo assessment for pregnancy' (NQEAP) technique that determines embryo quality has been an elusive goal. If developed, NQEAP would transform the selection of embryos from both Multiple Ovulation and Embryo Transfer (MOET), and even more so, in vitro produced (IVP) embryos for livestock breeding. The area where this concept is already having impact is in the field of clinical embryology, where great strides have been taken in the application of morphokinetics and artificial intelligence (AI); while both are already in practice, rigorous and robust evidence of efficacy is still required. Even the translation of advances in the qualitative scoring of human IVF embryos have yet to be translated to the livestock IVP industry, which remains dependent on the MOET-standardised 3-point scoring system. Furthermore, there are new ways to interrogate the biochemistry of individual embryonic cells by using new, light-based methodologies, such as FLIM and hyperspectral microscopy. Combinations of these technologies, in particular combining new imaging systems with AI, will lead to very accurate NQEAP predictive tools, improving embryo selection and recipient pregnancy success.
Collapse
Affiliation(s)
- H J McLennan
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia; ARC Centre of Excellence for Nanoscale BioPhotonics & Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA, 5005, Australia
| | - A Saini
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia; ARC Centre of Excellence for Nanoscale BioPhotonics & Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA, 5005, Australia
| | - K R Dunning
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia; ARC Centre of Excellence for Nanoscale BioPhotonics & Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA, 5005, Australia
| | - J G Thompson
- Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5005, Australia; ARC Centre of Excellence for Nanoscale BioPhotonics & Institute for Photonics and Advanced Sensing, The University of Adelaide, Adelaide, SA, 5005, Australia.
| |
Collapse
|
21
|
Mishra A, Ganesan RK, Dhali A, Reddy IJ. Interaction of apoptosis and pluripotency related transcripts for developmental potential of ovine embryos produced in vitro at different oxygen concentrations. Anim Biotechnol 2020; 32:470-478. [PMID: 32011969 DOI: 10.1080/10495398.2020.1721513] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The present study in sheep model was to find out the interaction of apoptotic transcripts, that is, Bcl2, Bax, Casp3, PCNA and p53 and pluripotency related transcripts, that is, Sox2, Nanog and Oct4 in ovine embryos produced in vitro at different O2 concentrations (20% and 5% O2) to compare their developmental potential. Oxygen concentrations did not influence the maturation and cleavage rate but the percentage of morula and blastocysts was significantly more at 5% as compared to 20% O2. A significant upregulated expression of Bcl2 and PCNA genes and significantly downregulated expression of Casp3 and p53 were observed in the blastocysts at 5% than those at 20% O2. The expression of Bax was not influenced by the O2 concentration. Among the pluripotency related transcripts, the expression of Oct4 was significantly upregulated and the expression of Sox2 and Nanog was significantly downregulated in embryos at 5% than at 20% O2. The study concluded that the embryos produced in vitro at low O2 (5%) concentration regulate the expression of developmental genes related to apoptosis and pluripotency to improve the developmental potential of embryos as compared to high O2 (20%) concentration.
Collapse
Affiliation(s)
- Ashish Mishra
- Animal Physiology Division, ICAR-National Institute of Animal Nutrition and Physiology, Bangalore, India
| | - Ramesh Kumar Ganesan
- Animal Physiology Division, ICAR-National Institute of Animal Nutrition and Physiology, Bangalore, India
| | - Arindam Dhali
- Animal Physiology Division, ICAR-National Institute of Animal Nutrition and Physiology, Bangalore, India
| | - Ippala Janardhan Reddy
- Animal Physiology Division, ICAR-National Institute of Animal Nutrition and Physiology, Bangalore, India
| |
Collapse
|
22
|
G. RK, Mishra A, Reddy IJ, Dhali A, Roy SC. Low oxygen tension activates glucose metabolism, improves antioxidant capacity and augment developmental potential of ovine embryos in vitro. ANIMAL PRODUCTION SCIENCE 2020. [DOI: 10.1071/an18713] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Context Oxygen (O2) is one of the most powerful regulators of embryo function. Nevertheless, most in vitro embryo production studies do not consider O2 as a determining factor. Aim The present study was designed to assess the effect of different O2 (5 and 20%) concentrations on the developmental ability and expression of genes related to cellular antioxidant functions and glucose metabolism in the in vitro produced ovine embryos. Methods In vitro sheep embryos were produced at different O2 (5 and 20%) concentrations as per the laboratory protocol. Developmental stages of embryos at different O2 concentrations were compared. Messenger RNA abundance of antioxidant and glucose metabolism genes in embryos produced at different O2 concentrations were compared. Key results No significant (P < 0.05) effect of different O2 concentrations on oocyte maturation and cleavage rate was observed. In contrast, significantly (P < 0.05) more number of morula and blastocysts were observed at 5 compared with 20%O2. The expression level of the genes related to antioxidant functions (GPX, SOD1, SOD2 and CAT) and glucose metabolism (G6PD and HPRT) were found significantly (P < 0.05) greater in the embryos generated with 5 compared with 20% O2. In contrast, the expression of GAPDH did not differ significantly (P < 0.05) between the groups. Conclusions Ovine embryos at 5%O2 generated low ROS and synthesised more GSH due to the activation of G6PD and GPX that in turn increased the antioxidant capability and developmental potential of the embryos. Implications Embryos at higher O2 concentration (20%) generated more reactive oxygen species (ROS) that caused oxidative damage to the embryos and in turn reduced their developmental ability and alter gene expression.
Collapse
|
23
|
Campbell JM, Habibalahi A, Mahbub S, Gosnell M, Anwer AG, Paton S, Gronthos S, Goldys E. Non-destructive, label free identification of cell cycle phase in cancer cells by multispectral microscopy of autofluorescence. BMC Cancer 2019; 19:1242. [PMID: 31864316 PMCID: PMC6925881 DOI: 10.1186/s12885-019-6463-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 12/15/2019] [Indexed: 01/08/2023] Open
Abstract
Background Cell cycle analysis is important for cancer research. However, available methodologies have drawbacks including limited categorisation and reliance on fixation, staining or transformation. Multispectral analysis of endogenous cell autofluorescence has been shown to be sensitive to changes in cell status and could be applied to the discrimination of cell cycle without these steps. Methods Cells from the MIA-PaCa-2, PANC-1, and HeLa cell lines were plated on gridded dishes and imaged using a multispectral fluorescence microscope. They were then stained for proliferating cell nuclear antigen (PCNA) and DNA intensity as a reference standard for their cell cycle position (G1, S, G2, M). The multispectral data was split into training and testing datasets and models were generated to discriminate between G1, S, and G2 + M phase cells. A standard decision tree classification approach was taken, and a two-step system was generated for each line. Results Across cancer cell lines accuracy ranged from 68.3% (MIA-PaCa-2) to 73.3% (HeLa) for distinguishing G1 from S and G2 + M, and 69.0% (MIA-PaCa-2) to 78.0% (PANC1) for distinguishing S from G2 + M. Unmixing the multispectral data showed that the autofluorophores NADH, FAD, and PPIX had significant differences between phases. Similarly, the redox ratio and the ratio of protein bound to free NADH were significantly affected. Conclusions These results demonstrate that multispectral microscopy could be used for the non-destructive, label free discrimination of cell cycle phase in cancer cells. They provide novel information on the mechanisms of cell-cycle progression and control, and have practical implications for oncology research.
Collapse
Affiliation(s)
- Jared M Campbell
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia. .,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia. .,ARC Centre of Excellence in Nanoscale Biophotonics, The University of New South Wales, Sydney, New South Wales, 2052, Australia. .,Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia.
| | - Abbas Habibalahi
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence in Nanoscale Biophotonics, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,School of Engineering, Faculty of Science and Engineering, Macquarie University, 2109, North Ryde, NSW, 2109, Australia
| | - Saabah Mahbub
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence in Nanoscale Biophotonics, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Martin Gosnell
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia.,Quantitative Pty Ltd, Mt Victoria, New South Wales, 2786, Australia
| | - Ayad G Anwer
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence in Nanoscale Biophotonics, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Sharon Paton
- Mesenchymal Stem Cell Laboratory, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, 5000, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, 5000, Australia
| | - Stan Gronthos
- Mesenchymal Stem Cell Laboratory, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, 5000, Australia.,South Australian Health and Medical Research Institute, Adelaide, South Australia, 5000, Australia
| | - Ewa Goldys
- Department of Physics and Astronomy, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence for Nanoscale BioPhotonics, Macquarie University, North Ryde, New South Wales, 2109, Australia.,ARC Centre of Excellence in Nanoscale Biophotonics, The University of New South Wales, Sydney, New South Wales, 2052, Australia.,Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, New South Wales, 2052, Australia
| |
Collapse
|
24
|
Gouveia Nogueira MF, Bertogna Guilherme V, Pronunciate M, Dos Santos PH, Lima Bezerra da Silva D, Rocha JC. Artificial Intelligence-Based Grading Quality of Bovine Blastocyst Digital Images: Direct Capture with Juxtaposed Lenses of Smartphone Camera and Stereomicroscope Ocular Lens. SENSORS 2018; 18:s18124440. [PMID: 30558278 PMCID: PMC6308431 DOI: 10.3390/s18124440] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 11/21/2018] [Accepted: 11/30/2018] [Indexed: 12/17/2022]
Abstract
In this study, we developed an online graphical and intuitive interface connected to a server aiming to facilitate professional access worldwide to those facing problems with bovine blastocysts classification. The interface Blasto3Q, where 3Q refers to the three qualities of the blastocyst grading, contains a description of 24 variables that were extracted from the image of the blastocyst and analyzed by three Artificial Neural Networks (ANNs) that classify the same loaded image. The same embryo (i.e., the biological specimen) was submitted to digital image capture by the control group (inverted microscope with 40× magnification) and the experimental group (stereomicroscope with maximum of magnification plus 4× zoom from the cell phone camera). The images obtained from the control and experimental groups were uploaded on Blasto3Q. Each image from both sources was evaluated for segmentation and submitted (only if it could be properly or partially segmented) for automatic quality grade classification by the three ANNs of the Blasto3Q program. Adjustments on the software program through the use of scaling algorithm software were performed to ensure the proper search and segmentation of the embryo in the raw images when they were captured by the smartphone, since this source produced small embryo images compared with those from the inverted microscope. With this new program, 77.8% of the images from smartphones were successfully segmented and from those, 85.7% were evaluated by the Blasto3Q in agreement with the control group.
Collapse
Affiliation(s)
- Marcelo Fábio Gouveia Nogueira
- Laboratory of Embryonic Micromanipulation, Department of Biological Sciences, School of Sciences and Languages, São Paulo State University (UNESP), Assis, São Paulo 19.806-900, Brazil.
- Multiuser Facility (FitoFarmaTec), Department of Pharmacology, Biosciences Institute, São Paulo State University (UNESP), Botucatu, São Paulo 18.618-689, Brazil.
| | - Vitória Bertogna Guilherme
- Laboratory of Embryonic Micromanipulation, Department of Biological Sciences, School of Sciences and Languages, São Paulo State University (UNESP), Assis, São Paulo 19.806-900, Brazil.
| | - Micheli Pronunciate
- Laboratory of Embryonic Micromanipulation, Department of Biological Sciences, School of Sciences and Languages, São Paulo State University (UNESP), Assis, São Paulo 19.806-900, Brazil.
- Multiuser Facility (FitoFarmaTec), Department of Pharmacology, Biosciences Institute, São Paulo State University (UNESP), Botucatu, São Paulo 18.618-689, Brazil.
| | - Priscila Helena Dos Santos
- Laboratory of Embryonic Micromanipulation, Department of Biological Sciences, School of Sciences and Languages, São Paulo State University (UNESP), Assis, São Paulo 19.806-900, Brazil.
- Multiuser Facility (FitoFarmaTec), Department of Pharmacology, Biosciences Institute, São Paulo State University (UNESP), Botucatu, São Paulo 18.618-689, Brazil.
| | - Diogo Lima Bezerra da Silva
- Laboratory of Applied Mathematics, Department of Biological Sciences, School of Sciences and Languages, São Paulo State University (UNESP), Assis, São Paulo 19.806-900, Brazil.
| | - José Celso Rocha
- Laboratory of Applied Mathematics, Department of Biological Sciences, School of Sciences and Languages, São Paulo State University (UNESP), Assis, São Paulo 19.806-900, Brazil.
| |
Collapse
|
25
|
Bertoldo MJ, Andraweera PH, Bromfield EG, Cousins FL, Lindsay LA, Paiva P, Regan SL, Rose RD, Akison LK. Recent and emerging reproductive biology research in Australia and New Zealand: highlights from the Society for Reproductive Biology Annual Meeting, 2017. Reprod Fertil Dev 2018; 30:1049-1054. [PMID: 29381876 DOI: 10.1071/rd17445] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 12/09/2017] [Indexed: 12/27/2022] Open
Abstract
Research in reproductive science is essential to promote new developments in reproductive health and medicine, agriculture and conservation. The Society for Reproductive Biology (SRB) 2017 conference held in Perth (WA, Australia) provided a valuable update on current research programs in Australia and New Zealand. This conference review delivers a dedicated summary of significant questions, emerging concepts and innovative technologies presented in the symposia. This research demonstrates significant advances in the identification of precursors for a healthy pregnancy, birth and child, and discusses how these factors can influence disease risk. A key theme included preconception parental health and its effect on gametogenesis, embryo and fetal development and placental function. In addition, the perturbation of key developmental checkpoints was shown to contribute to a variety of pathological states that have the capacity to affect health and fertility. Importantly, the symposia discussed in this review emphasised the role of reproductive biology as a conduit for understanding the transmission of non-communicable diseases, such as metabolic disorders and cancers. The research presented at SRB 2017 has revealed key findings that have the prospect to change not only the fertility of the present generation, but also the health and reproductive capacity of future generations.
Collapse
Affiliation(s)
- M J Bertoldo
- Fertility and Research Centre, School of Women's and Children's Health, The University of New South Wales, Wallace Wurth Building, Randwick, NSW 2052, Australia
| | - P H Andraweera
- Adelaide Medical School and Robinson Research Institute, The University of Adelaide, North Terrace, Adelaide, SA 5005, Australia
| | - E G Bromfield
- Priority Research Centre for Reproductive Science, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - F L Cousins
- The Ritchie Centre, Hudson Institute of Medical Research, 27-31 Wright Street, Clayton, Vic. 3141, Australia
| | - L A Lindsay
- School of Medical Sciences (Anatomy and Histology), The University of Sydney, Anderson Stuart Building, F13, Sydney, NSW 2006, Australia
| | - P Paiva
- Gynaecology Research Centre, Department of Obstetrics and Gynaecology, Royal Women's Hospital, The University of Melbourne, Parkville, Vic. 3010, Australia
| | - S L Regan
- Stem Cell and Cancer Biology Laboratory, School of Biomedical Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth, WA 6102, Australia
| | - R D Rose
- Adelaide Medical School and Robinson Research Institute, The University of Adelaide, North Terrace, Adelaide, SA 5005, Australia
| | - L K Akison
- School of Biomedical Sciences, Sir William MacGregor Building, The University of Queensland, St Lucia, Qld 4072, Australia
| |
Collapse
|
26
|
Sanchez T, Seidler EA, Gardner DK, Needleman D, Sakkas D. Will noninvasive methods surpass invasive for assessing gametes and embryos? Fertil Steril 2017; 108:730-737. [DOI: 10.1016/j.fertnstert.2017.10.004] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 09/20/2017] [Accepted: 10/02/2017] [Indexed: 11/27/2022]
|