Quantitative approaches in clinical reproductive endocrinology
dc.contributor.author | Voliotis, M | |
dc.contributor.author | Hanassab, S | |
dc.contributor.author | Abbara, A | |
dc.contributor.author | Heinis, T | |
dc.contributor.author | Dhillo, WS | |
dc.contributor.author | Tsaneva-Atanasova, K | |
dc.date.accessioned | 2022-10-13T10:56:42Z | |
dc.date.issued | 2022-10-06 | |
dc.date.updated | 2022-10-13T10:18:33Z | |
dc.description.abstract | Understanding the human hypothalamus-pituitary-gonadal (HPG) axis presents a major challenge for medical science. Dysregulation of the HPG axis is linked to infertility and a thorough understanding of its dynamic behaviour is necessary to both aid diagnosis and to identify the most appropriate hormonal interventions. Here, we review how quantitative models are being used in the context of clinical reproductive endocrinology to: 1. analyse the secretory patterns of reproductive hormones; 2. evaluate the effect of drugs in fertility treatment; 3. aid in the personalization of assisted reproductive technology (ART). In this review, we demonstrate that quantitative models are indispensable tools enabling us to describe the complex dynamic behaviour of the reproductive axis, refine treatment of fertility disorders, and predict clinical intervention outcomes. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.description.sponsorship | Biotechnology and Biological Sciences Research Council (BBSRC) | en_GB |
dc.description.sponsorship | National Institute for Health Research (NIHR) | en_GB |
dc.description.sponsorship | UKRI | en_GB |
dc.format.extent | 100421- | |
dc.identifier.citation | Article 100421 | en_GB |
dc.identifier.doi | https://doi.org/10.1016/j.coemr.2022.100421 | |
dc.identifier.grantnumber | EP/T017856/1 | en_GB |
dc.identifier.grantnumber | EP/N014391/1 | en_GB |
dc.identifier.grantnumber | BB/S000550/1 | en_GB |
dc.identifier.grantnumber | BB/S001255/1 | en_GB |
dc.identifier.grantnumber | CS-2018-18-ST2-002 | en_GB |
dc.identifier.grantnumber | P/S023283/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/131250 | |
dc.identifier | ORCID: 0000-0001-6488-7198 (Voliotis, Margaritis) | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | © 2022 The Author(s). Published by Elsevier Ltd. Open access under a Creative Commons license: https://creativecommons.org/licenses/by/4.0/ | en_GB |
dc.title | Quantitative approaches in clinical reproductive endocrinology | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-10-13T10:56:42Z | |
dc.identifier.issn | 2451-9650 | |
exeter.article-number | 100421 | |
dc.description | This is the author accepted manuscript. The final version is available on open access from Elsevier via the DOI in this record | en_GB |
dc.description | Data availability: No data was used for the research described in the article. | en_GB |
dc.identifier.journal | Current Opinion in Endocrine and Metabolic Research | en_GB |
dc.relation.ispartof | Current Opinion in Endocrine and Metabolic Research | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-09-27 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2022-10-06 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-10-13T10:50:11Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2022-10-13T10:56:56Z | |
refterms.panel | B | en_GB |
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Except where otherwise noted, this item's licence is described as © 2022 The Author(s). Published by Elsevier Ltd. Open access under a Creative Commons license: https://creativecommons.org/licenses/by/4.0/