{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T22:18:53Z","timestamp":1785363533169,"version":"3.55.0"},"reference-count":53,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","maturitas.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Maturitas"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.maturitas.2026.108977","type":"journal-article","created":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T15:27:46Z","timestamp":1778945266000},"page":"108977","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["A mechanistic digital twin of ovarian aging integrating follicular dynamics, mitochondrial decline, and lifestyle perturbations"],"prefix":"10.1016","volume":"210","author":[{"given":"Alexandre","family":"Vall\u00e9e","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anis","family":"Feki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marine","family":"Poulain","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Marc","family":"Ayoubi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.maturitas.2026.108977_bb0005","doi-asserted-by":"crossref","DOI":"10.1002\/mco2.70481","article-title":"Ovarian aging: mechanisms, age-related disorders, and therapeutic interventions","volume":"6","author":"Liu","year":"2025","journal-title":"MedComm"},{"key":"10.1016\/j.maturitas.2026.108977_bb0010","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1210\/jcem-65-6-1231","article-title":"Follicular depletion during the menopausal transition: evidence for accelerated loss and ultimate exhaustion","volume":"65","author":"Richardson","year":"1987","journal-title":"J. Clin. Endocrinol. Metab."},{"key":"10.1016\/j.maturitas.2026.108977_bb0015","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1093\/humupd\/dmac045","article-title":"Anti-M\u00fcllerian hormone for the diagnosis and prediction of menopause: a systematic review","volume":"29","author":"Nelson","year":"2023","journal-title":"Hum. Reprod. Update"},{"key":"10.1016\/j.maturitas.2026.108977_bb0020","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0008772","article-title":"Human ovarian reserve from conception to the menopause","volume":"5","author":"Wallace","year":"2010","journal-title":"PloS One"},{"key":"10.1016\/j.maturitas.2026.108977_bb0025","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1186\/s13048-025-01732-0","article-title":"Assessment and prediction models for the quantitative and qualitative reserve of the ovary using machine learning","volume":"18","author":"Koike","year":"2025","journal-title":"J. Ovarian Res."},{"key":"10.1016\/j.maturitas.2026.108977_bb0030","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.fertnstert.2011.10.031","article-title":"A characterization of the relationship of ovarian reserve markers with age","volume":"97","author":"Rosen","year":"2012","journal-title":"Fertil. Steril."},{"key":"10.1016\/j.maturitas.2026.108977_bb0035","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1093\/molehr\/gar059","article-title":"Data-driven assessment of the human ovarian reserve","volume":"18","author":"Kelsey","year":"2012","journal-title":"Mol. Hum. Reprod."},{"key":"10.1016\/j.maturitas.2026.108977_bb0040","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1016\/j.fertnstert.2020.09.134","article-title":"Testing and interpreting measures of ovarian reserve: a committee opinion","volume":"114","author":"Penzias","year":"2020","journal-title":"Fertil. Steril."},{"key":"10.1016\/j.maturitas.2026.108977_bb0045","doi-asserted-by":"crossref","first-page":"3654","DOI":"10.1016\/j.csbj.2025.08.013","article-title":"A semi-mechanistic mathematical framework for simulating multi-hormone dynamics in reproductive endocrinology","volume":"27","author":"Vall\u00e9e","year":"2025","journal-title":"Comput. Struct. Biotechnol. J."},{"key":"10.1016\/j.maturitas.2026.108977_bb0050","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1111\/j.1749-6632.2010.05523.x","article-title":"Relating smoking, obesity, insulin resistance and ovarian biomarker changes to the final menstrual period (FMP)","volume":"1204","author":"Sowers","year":"2010","journal-title":"Ann. N. Y. Acad. Sci."},{"key":"10.1016\/j.maturitas.2026.108977_bb0055","doi-asserted-by":"crossref","DOI":"10.2196\/72411","article-title":"Digital twins for personalized medicine require epidemiological data and mathematical modeling: viewpoint","volume":"27","author":"Vall\u00e9e","year":"2025","journal-title":"J. Med. Internet Res."},{"key":"10.1016\/j.maturitas.2026.108977_bb0060","doi-asserted-by":"crossref","DOI":"10.2196\/50204","article-title":"Envisioning the future of personalized medicine: role and realities of digital twins","volume":"26","author":"Vall\u00e9e","year":"2024","journal-title":"J. Med. Internet Res."},{"key":"10.1016\/j.maturitas.2026.108977_bb0065","first-page":"1","article-title":"Simulation-based model of menopause: hormonal changes and cardiovascular risk in a digital twin view","author":"Vall\u00e9e","year":"2025","journal-title":"Climacteric J. Int. Menopause Soc."},{"key":"10.1016\/j.maturitas.2026.108977_bb0070","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1093\/geronb\/gbx013","article-title":"Modeling Intraindividual dynamics using stochastic differential equations: age differences in affect regulation","volume":"73","author":"Wood","year":"2018","journal-title":"J. Gerontol. B Psychol. Sci. Soc. Sci."},{"key":"10.1016\/j.maturitas.2026.108977_bb0075","doi-asserted-by":"crossref","first-page":"1095","DOI":"10.1016\/j.bpj.2025.02.004","article-title":"Stochastic analysis of human ovarian aging and menopause timing","volume":"124","author":"Mondal","year":"2025","journal-title":"Biophys. J."},{"key":"10.1016\/j.maturitas.2026.108977_bb0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.epidem.2024.100758","article-title":"Enhancing seasonal influenza projections: a mechanistic metapopulation model for long-term scenario planning","volume":"47","author":"Turtle","year":"2024","journal-title":"Epidemics"},{"key":"10.1016\/j.maturitas.2026.108977_bb0085","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1038\/s41746-024-01073-0","article-title":"Digital twins for health: a scoping review","volume":"7","author":"Katsoulakis","year":"2024","journal-title":"Npj Digit. Med."},{"key":"10.1016\/j.maturitas.2026.108977_bb0090","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1038\/s44287-024-00025-w","article-title":"A roadmap for the development of human body digital twins","volume":"1","author":"Tang","year":"2024","journal-title":"Nat. Rev. Electr. Eng."},{"key":"10.1016\/j.maturitas.2026.108977_bb0095","doi-asserted-by":"crossref","DOI":"10.3389\/fendo.2022.946123","article-title":"An online tool for predicting ovarian reserve based on AMH level and age: a retrospective cohort study","volume":"13","author":"Han","year":"2022","journal-title":"Front. Endocrinol."},{"key":"10.1016\/j.maturitas.2026.108977_bb0100","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1186\/s13048-015-0149-z","article-title":"OvAge: a new methodology to quantify ovarian reserve combining clinical, biochemical and 3D-ultrasonographic parameters","volume":"8","author":"Venturella","year":"2015","journal-title":"J. Ovarian Res."},{"key":"10.1016\/j.maturitas.2026.108977_bb0105","article-title":"OvaRePred: online tool for predicting the age of fertility milestones","volume":"4","author":"Xu","year":"2023","journal-title":"Innov. Camb. Mass."},{"key":"10.1016\/j.maturitas.2026.108977_bb0110","doi-asserted-by":"crossref","DOI":"10.1098\/rsif.2020.0652","article-title":"Identifiability analysis for stochastic differential equation models in systems biology","volume":"17","author":"Browning","year":"2020","journal-title":"J. R. Soc. Interface"},{"key":"10.1016\/j.maturitas.2026.108977_bb0115","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1186\/s13036-024-00410-x","article-title":"Structural and practical identifiability analysis in bioengineering: a beginner\u2019s guide","volume":"18","author":"Wanika","year":"2024","journal-title":"J. Biol. Eng."},{"key":"10.1016\/j.maturitas.2026.108977_bb0120","doi-asserted-by":"crossref","first-page":"8645","DOI":"10.1073\/pnas.1015814108","article-title":"Sensitivity, robustness, and identifiability in stochastic chemical kinetics models","volume":"108","author":"Komorowski","year":"2011","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.maturitas.2026.108977_bb0125","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1093\/oxfordjournals.humrep.a019422","article-title":"A model conforming the decline in follicle numbers to the age of menopause in women","volume":"11","author":"Faddy","year":"1996","journal-title":"Hum. Reprod."},{"key":"10.1016\/j.maturitas.2026.108977_bb0130","doi-asserted-by":"crossref","first-page":"R19","DOI":"10.1530\/REP-21-0022","article-title":"Mechanisms of ovarian aging","volume":"162","author":"Park","year":"2021","journal-title":"Reprod. Camb. Engl."},{"key":"10.1016\/j.maturitas.2026.108977_bb0135","doi-asserted-by":"crossref","first-page":"1673","DOI":"10.1210\/jc.2011-3032","article-title":"Anti-mullerian hormone as a predictor of time to menopause in late reproductive age women","volume":"97","author":"Freeman","year":"2012","journal-title":"J. Clin. Endocrinol. Metab."},{"key":"10.1016\/j.maturitas.2026.108977_bb0140","first-page":"161","article-title":"Aspects of ovarian follicle development throughout life","volume":"52","author":"Macklon","year":"1999","journal-title":"Horm. Res."},{"key":"10.1016\/j.maturitas.2026.108977_bb0145","doi-asserted-by":"crossref","DOI":"10.3389\/fdgth.2024.1349595","article-title":"Toward mechanistic medical digital twins: some use cases in immunology","volume":"6","author":"Laubenbacher","year":"2024","journal-title":"Front. Digit. Health"},{"key":"10.1016\/j.maturitas.2026.108977_bb0150","doi-asserted-by":"crossref","first-page":"H473","DOI":"10.1152\/ajpheart.00766.2023","article-title":"Guidelines for mechanistic modeling and analysis in cardiovascular research","volume":"327","author":"Colebank","year":"2024","journal-title":"Am. J. Physiol. - Heart Circ. Physiol."},{"key":"10.1016\/j.maturitas.2026.108977_bb0155","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1093\/oxfordjournals.humrep.a136036","article-title":"A mathematical model of follicle dynamics in the human ovary","volume":"10","author":"Faddy","year":"1995","journal-title":"Hum. Reprod."},{"key":"10.1016\/j.maturitas.2026.108977_bb0160","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1093\/oxfordjournals.humrep.a019422","article-title":"Ovary and ovulation: a model conforming the decline in follicle numbers to the age of menopause in women","volume":"11","author":"Faddy","year":"1996","journal-title":"Hum. Reprod."},{"key":"10.1016\/j.maturitas.2026.108977_bb0165","doi-asserted-by":"crossref","first-page":"2208","DOI":"10.1093\/humrep\/dead177","article-title":"Human ovarian aging is characterized by oxidative damage and mitochondrial dysfunction","volume":"38","author":"Smits","year":"2023","journal-title":"Hum. Reprod. Oxf. Engl."},{"key":"10.1016\/j.maturitas.2026.108977_bb0170","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1093\/humupd\/dmw028","article-title":"Ovarian ageing: the role of mitochondria in oocytes and follicles","volume":"22","author":"May-Panloup","year":"2016","journal-title":"Hum. Reprod. Update"},{"key":"10.1016\/j.maturitas.2026.108977_bb0175","doi-asserted-by":"crossref","first-page":"1423","DOI":"10.1093\/humrep\/15.6.1423","article-title":"Ovarian reserve: a simple mathematical problem?","volume":"15","author":"Ranieri","year":"2000","journal-title":"Hum. Reprod."},{"key":"10.1016\/j.maturitas.2026.108977_bb0180","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1016\/j.fertnstert.2012.11.051","article-title":"Biomarkers of ovarian response: current and future applications","volume":"99","author":"Nelson","year":"2013","journal-title":"Fertil. Steril."},{"key":"10.1016\/j.maturitas.2026.108977_bb0185","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1093\/humupd\/dmac004","article-title":"Anti-M\u00fcllerian hormone as a marker of ovarian reserve and premature ovarian insufficiency in children and women with cancer: a systematic review","volume":"28","author":"Anderson","year":"2022","journal-title":"Hum. Reprod. Update"},{"key":"10.1016\/j.maturitas.2026.108977_bb0190","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1093\/humupd\/dml034","article-title":"A systematic review of tests predicting ovarian reserve and IVF outcome","volume":"12","author":"Broekmans","year":"2006","journal-title":"Hum. Reprod. Update"},{"key":"10.1016\/j.maturitas.2026.108977_bb0195","doi-asserted-by":"crossref","first-page":"789","DOI":"10.21037\/atm.2019.12.02","article-title":"Mitochondria: the panacea to improve oocyte quality?","volume":"7","author":"Qi","year":"2019","journal-title":"Ann. Transl. Med."},{"key":"10.1016\/j.maturitas.2026.108977_bb0200","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1186\/s12916-016-0699-y","article-title":"Back to the basics of ovarian aging: a population-based study on longitudinal anti-M\u00fcllerian hormone decline","volume":"14","author":"de Kat","year":"2016","journal-title":"BMC Med."},{"key":"10.1016\/j.maturitas.2026.108977_bb0205","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1093\/humupd\/dmq033","article-title":"Effects of cigarette smoking on reproduction","volume":"17","author":"Dechanet","year":"2011","journal-title":"Hum. Reprod. Update"},{"key":"10.1016\/j.maturitas.2026.108977_bb0210","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1038\/s41467-024-55301-y","article-title":"Explainable artificial intelligence to identify follicles that optimize clinical outcomes during assisted conception","volume":"16","author":"Hanassab","year":"2025","journal-title":"Nat. Commun."},{"key":"10.1016\/j.maturitas.2026.108977_bb0215","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.3390\/jpm14111101","article-title":"Digital twins\u2019 advancements and applications in healthcare, towards precision medicine","volume":"14","author":"Papachristou","year":"2024","journal-title":"J. Pers. Med."},{"key":"10.1016\/j.maturitas.2026.108977_bb0220","doi-asserted-by":"crossref","first-page":"686","DOI":"10.1016\/j.rbmo.2018.02.007","article-title":"The role of mitochondrial activity in female fertility and assisted reproductive technologies: overview and current insights","volume":"36","author":"Cecchino","year":"2018","journal-title":"Reprod. Biomed. Online"},{"key":"10.1016\/j.maturitas.2026.108977_bb0225","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1097\/gme.0b013e3181c7deba","article-title":"The impact of smoking on antim\u00fcllerian hormone levels in women aged 38 to 50 years","volume":"17","author":"Plante","year":"2010","journal-title":"Menopause N. Y. N"},{"key":"10.1016\/j.maturitas.2026.108977_bb0230","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.maturitas.2008.09.021","article-title":"The relationship between smoking and age at the menopause: a systematic review","volume":"61","author":"Parente","year":"2008","journal-title":"Maturitas"},{"key":"10.1016\/j.maturitas.2026.108977_bb0235","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1186\/s13048-023-01330-y","article-title":"Premature ovarian insufficiency: a review on the role of tobacco smoke, its clinical harm, and treatment","volume":"17","author":"Cui","year":"2024","journal-title":"J. Ovarian Res."},{"key":"10.1016\/j.maturitas.2026.108977_bb0240","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0278998","article-title":"Association between cigarette smoking and ovarian reserve among women seeking fertility care","volume":"17","author":"Oladipupo","year":"2022","journal-title":"PloS One"},{"key":"10.1016\/j.maturitas.2026.108977_bb0245","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1097\/gme.0b013e3181cec85d","article-title":"Obesity and reproductive hormone levels in the transition to menopause","volume":"17","author":"Freeman","year":"2010","journal-title":"Menopause N. Y. N"},{"key":"10.1016\/j.maturitas.2026.108977_bb0250","doi-asserted-by":"crossref","DOI":"10.3390\/jcm10143192","article-title":"Impact of obesity on anti-Mullerian hormone (AMH) levels in women of reproductive age","volume":"10","author":"Oldfield","year":"2021","journal-title":"J. Clin. Med."},{"key":"10.1016\/j.maturitas.2026.108977_bb0255","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.smrv.2014.10.005","article-title":"Sleep, sleep disturbance and fertility in women","volume":"22","author":"Kloss","year":"2015","journal-title":"Sleep Med. Rev."},{"key":"10.1016\/j.maturitas.2026.108977_bb0260","doi-asserted-by":"crossref","DOI":"10.1155\/2010\/813764","article-title":"Shift work, jet lag, and female reproduction","volume":"2010","author":"Mahoney","year":"2010","journal-title":"Int. J. Endocrinol."},{"key":"10.1016\/j.maturitas.2026.108977_bb0265","doi-asserted-by":"crossref","unstructured":"L.A. Schrader, S.M. Ronnekleiv-Kelly, J.B. Hogenesch, C.A. Bradfield, K.M.C. Malecki, Circadian disruption, clock genes, and metabolic health, J. Clin. Invest. 134 (n.d.) e170998. doi:https:\/\/doi.org\/10.1172\/JCI170998.","DOI":"10.1172\/JCI170998"}],"container-title":["Maturitas"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0378512226001544?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0378512226001544?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T11:08:12Z","timestamp":1781089692000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0378512226001544"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":53,"alternative-id":["S0378512226001544"],"URL":"https:\/\/doi.org\/10.1016\/j.maturitas.2026.108977","relation":{},"ISSN":["0378-5122"],"issn-type":[{"value":"0378-5122","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A mechanistic digital twin of ovarian aging integrating follicular dynamics, mitochondrial decline, and lifestyle perturbations","name":"articletitle","label":"Article Title"},{"value":"Maturitas","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.maturitas.2026.108977","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"108977"}}