{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T09:55:11Z","timestamp":1789638911517,"version":"4.0.0"},"reference-count":155,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T00:00:00Z","timestamp":1773187200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009708","name":"Novo Nordisk Fonden","doi-asserted-by":"publisher","award":["NNF20CC0035580"],"award-info":[{"award-number":["NNF20CC0035580"]}],"id":[{"id":"10.13039\/501100009708","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000268","name":"Biotechnology and Biological Sciences Research Council","doi-asserted-by":"publisher","award":["BB\/Y009258\/1"],"award-info":[{"award-number":["BB\/Y009258\/1"]}],"id":[{"id":"10.13039\/501100000268","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pregnancy Hypertension"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.preghy.2026.101450","type":"journal-article","created":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T04:17:12Z","timestamp":1773807432000},"page":"101450","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":4,"special_numbering":"C","title":["Determining the desired concentration of a nutraceutical based on the variation of its concentration with the incidence of a disease: application to ergothioneine and pre-eclampsia"],"prefix":"10.1016","volume":"44","author":[{"given":"Ivayla","family":"Roberts","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Louise C.","family":"Kenny","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abi","family":"Merriel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. Bernadette","family":"Moore","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Etheresia","family":"Pretorius","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Catriona","family":"Waitt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Douglas B.","family":"Kell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"Suppl 1","key":"10.1016\/j.preghy.2026.101450_b0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/ijgo.12802","article-title":"The International Federation of Gynecology and Obstetrics (FIGO) initiative on pre-eclampsia: a pragmatic guide for first-trimester screening and prevention","volume":"145 Suppl 1","author":"Poon","year":"2019","journal-title":"Int. J. Gynaecol. Obstet."},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0010","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1038\/s41572-023-00417-6","article-title":"Pre-eclampsia","volume":"9","author":"Dimitriadis","year":"2023","journal-title":"Nat. Rev. Dis. Primers"},{"key":"10.1016\/j.preghy.2026.101450_b0015","article-title":"Prevalence of hypertensive disorders of pregnancy and pregnancy outcomes in Sub-Saharan Africa: a systematic review and meta-analysis","volume":"16","author":"Gemechu","year":"2020","journal-title":"Womens Health (Lond)"},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0020","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1186\/s12889-020-09384-z","article-title":"Prevalence and risk factors associated with severe pre-eclampsia among postpartum women in Zanzibar: a cross-sectional study","volume":"20","author":"Machano","year":"2020","journal-title":"BMC Public Health"},{"key":"10.1016\/j.preghy.2026.101450_b0025","first-page":"60","article-title":"A dormant microbial component in the development of pre-eclampsia","volume":"3","author":"Kell","year":"2016","journal-title":"Front. Med. Obs. Gynecol."},{"issue":"6","key":"10.1016\/j.preghy.2026.101450_b0030","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1097\/GCO.0000000000000419","article-title":"Cardiovascular origins of preeclampsia","volume":"29","author":"Kalafat","year":"2017","journal-title":"Curr. Opin. Obstet. Gynecol."},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0035","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1002\/uog.20117","article-title":"IPPIC network, prediction of pre-eclampsia: review of reviews","volume":"54","author":"Townsend","year":"2019","journal-title":"Ultrasound Obstet. Gynecol."},{"issue":"12","key":"10.1016\/j.preghy.2026.101450_b0040","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0312507","article-title":"Primipaternity in multiparas as a predominant high risk factor for preeclampsia over prolonged birth intervals: a study of 33,000 singleton pregnancies in Reunion Island","volume":"19","author":"Robillard","year":"2024","journal-title":"PLoS One"},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0045","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ejogrb.2013.05.005","article-title":"Global and regional estimates of preeclampsia and eclampsia: a systematic review","volume":"170","author":"Abalos","year":"2013","journal-title":"Eur. J. Obstet. Gynecol. Reprod. Biol."},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0050","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1186\/s12884-021-03809-2","article-title":"Epidemiological trends of maternal hypertensive disorders of pregnancy at the global, regional, and national levels: a population-based study","volume":"21","author":"Wang","year":"2021","journal-title":"BMC Pregnancy Childbirth"},{"issue":"7","key":"10.1016\/j.preghy.2026.101450_b0055","doi-asserted-by":"crossref","first-page":"686","DOI":"10.1055\/s-0042-1742680","article-title":"Prevalence of preeclampsia in Brazil: an integrative review","volume":"44","author":"de Siqueira Guida","year":"2022","journal-title":"Rev. Bras. Ginecol. Obstet."},{"issue":"2","key":"10.1016\/j.preghy.2026.101450_b0060","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1111\/aogs.14703","article-title":"Time trends in preeclampsia and gestational diabetes in Denmark and Alberta, Canada, 2005-2018-a population-based cohort study","volume":"103","author":"Lihme","year":"2024","journal-title":"Acta Obstet. Gynecol. Scand."},{"issue":"3","key":"10.1016\/j.preghy.2026.101450_b0065","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1007\/s11524-023-00733-y","article-title":"Temporal and spatial trends of adverse pregnancy and birth outcomes in a sample of births from a public hospital in Chile","volume":"100","author":"Blanco","year":"2023","journal-title":"J. Urban Health"},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0070","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2021.8401","article-title":"Preeclampsia prevalence, risk factors, and pregnancy outcomes in Sweden and China","volume":"4","author":"Yang","year":"2021","journal-title":"JAMA Netw. Open"},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0075","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1186\/s12884-021-03602-1","article-title":"A population-based study of preeclampsia and eclampsia in Ecuador: ethnic, geographical and altitudes differences","volume":"21","author":"Tejera","year":"2021","journal-title":"BMC Pregnancy Childbirth"},{"issue":"12","key":"10.1016\/j.preghy.2026.101450_b0080","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0243538","article-title":"Maternal lipid profile and risk of pre-eclampsia in African pregnant women: a systematic review and meta-analysis","volume":"15","author":"Tesfa","year":"2020","journal-title":"PLoS One"},{"issue":"11","key":"10.1016\/j.preghy.2026.101450_b0085","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2022.42064","article-title":"Association of maternal preeclampsia with offspring risks of ischemic heart disease and stroke in nordic countries","volume":"5","author":"Yang","year":"2022","journal-title":"JAMA Netw. Open"},{"issue":"7","key":"10.1016\/j.preghy.2026.101450_b0090","doi-asserted-by":"crossref","first-page":"1344","DOI":"10.1111\/jch.14254","article-title":"Prevalence of hypertensive disorders during pregnancy in France (2010-2018): the Nationwide CONCEPTION Study","volume":"23","author":"Oli\u00e9","year":"2021","journal-title":"J. Clin. Hypertens. (Greenwich)"},{"issue":"3","key":"10.1016\/j.preghy.2026.101450_b0095","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1515\/jpm.2011.010","article-title":"Risk groups and maternal-neonatal complications of preeclampsia\u2013current results from the national German Perinatal Quality Registry","volume":"39","author":"Schneider","year":"2011","journal-title":"J. Perinat. Med."},{"issue":"11","key":"10.1016\/j.preghy.2026.101450_b0100","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1038\/s41440-022-01013-z","article-title":"Exponential increase of the gestational-age-specific incidence of preeclampsia onset (COPE study): a multicenter retrospective cohort study in women with maternal check-ups at <20 weeks of gestation in Japan","volume":"45","author":"Ohkuchi","year":"2022","journal-title":"Hypertens. Res."},{"key":"10.1016\/j.preghy.2026.101450_b0105","doi-asserted-by":"crossref","first-page":"e21","DOI":"10.26633\/RPSP.2022.21","article-title":"Adverse pregnancy and perinatal outcomes in Latin America and the Caribbean: systematic review and meta-analysis","volume":"46","author":"Blanco","year":"2022","journal-title":"Rev. Panam. Salud Publica"},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0110","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1186\/s40001-024-02086-x","article-title":"Prevalence and materno-fetal outcomes of preeclampsia\/eclampsia among pregnant women in Nigeria: a systematic review and meta-analysis","volume":"29","author":"Kokori","year":"2024","journal-title":"Eur. J. Med. Res."},{"issue":"4","key":"10.1016\/j.preghy.2026.101450_b0115","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1080\/10641955.2016.1193190","article-title":"Hypertensive disorders in primigravid black South African women: a one-year descriptive analysis","volume":"35","author":"Moodley","year":"2016","journal-title":"Hypertens. Pregnancy"},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0120","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1002\/uog.26084","article-title":"Incidence of pre-eclampsia: effect of deprivation","volume":"61","author":"Arechvo","year":"2023","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"10.1016\/j.preghy.2026.101450_b0125","doi-asserted-by":"crossref","DOI":"10.1136\/bmj.f6564","article-title":"Pre-eclampsia rates in the United States, 1980-2010: age-period-cohort analysis","volume":"347","author":"Ananth","year":"2013","journal-title":"BMJ"},{"issue":"10","key":"10.1016\/j.preghy.2026.101450_b0130","doi-asserted-by":"crossref","first-page":"5644","DOI":"10.3390\/ijms23105644","article-title":"Hypoxia-reoxygenation impairs autophagy-lysosomal machinery in primary human trophoblasts mimicking placental pathology of early-onset preeclampsia","volume":"23","author":"Cheng","year":"2022","journal-title":"Int. J. Mol. Sci."},{"issue":"2S","key":"10.1016\/j.preghy.2026.101450_b0135","doi-asserted-by":"crossref","first-page":"S867","DOI":"10.1016\/j.ajog.2021.11.019","article-title":"Progress in the understanding of the pathophysiology of immunologic maladaptation related to early-onset preeclampsia and metabolic syndrome related to late-onset preeclampsia","volume":"226","author":"Robillard","year":"2022","journal-title":"Am. J. Obstet. Gynecol."},{"key":"10.1016\/j.preghy.2026.101450_b0140","doi-asserted-by":"crossref","unstructured":"C.W. Redman, A.C. Staff, Preeclampsia, biomarkers, syncytiotrophoblast stress, and placental capacity, Am. J. Obstet. Gynecol., 213(4 Suppl) (2015) S9 e1-S9-11.","DOI":"10.1016\/j.ajog.2015.08.003"},{"issue":"2S","key":"10.1016\/j.preghy.2026.101450_b0145","doi-asserted-by":"crossref","first-page":"S907","DOI":"10.1016\/j.ajog.2020.09.047","article-title":"Syncytiotrophoblast stress in preeclampsia: the convergence point for multiple pathways","volume":"226","author":"Redman","year":"2022","journal-title":"Am. J. Obstet. Gynecol."},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0150","doi-asserted-by":"crossref","DOI":"10.1111\/aji.13904","article-title":"Placental senescence and the two-stage model of preeclampsia","volume":"92","author":"Sugulle","year":"2024","journal-title":"Am. J. Reprod. Immunol."},{"issue":"10","key":"10.1016\/j.preghy.2026.101450_b0155","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0013263","article-title":"Eunice Kennedy Shriver Natl Inst of child health human development maternal-fetal medicine units network, soluble fms-like tyrosine kinase 1 (sFlt1), endoglin and placental growth factor (PlGF) in preeclampsia among high risk pregnancies","volume":"5","author":"Powers","year":"2010","journal-title":"PLoS One"},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0160","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1056\/NEJMoa1414838","article-title":"Predictive value of the sFlt-1:PlGF ratio in women with suspected preeclampsia","volume":"374","author":"Zeisler","year":"2016","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.preghy.2026.101450_b0165","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1038\/83496","article-title":"A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations","volume":"19","author":"Raamsdonk","year":"2001","journal-title":"Nat. Biotechnol."},{"issue":"9","key":"10.1016\/j.preghy.2026.101450_b0170","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1007\/s11306-016-1108-4","article-title":"The metabolome 18 years on: a concept comes of age","volume":"12","author":"Kell","year":"2016","journal-title":"Metabolomics"},{"key":"10.1016\/j.preghy.2026.101450_b0175","doi-asserted-by":"crossref","unstructured":"L.C. Kenny, W.B. Dunn, D.I. Ellis, J. Myers, P.N. Baker, The GOPEC Consortium, D.B. Kell, Novel biomarkers for pre-eclampsia detected using metabolomics and machine learning, Metabolomics 1(3) (2005) 227-234.","DOI":"10.1007\/s11306-005-0003-1"},{"key":"10.1016\/j.preghy.2026.101450_b0180","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1161\/HYPERTENSIONAHA.110.157297","article-title":"Philip N Baker on behalf of the SCOPE consortium, robust early pregnancy prediction of later preeclampsia using metabolomic biomarkers","volume":"56","author":"Kenny","year":"2010","journal-title":"Hypertension"},{"key":"10.1016\/j.preghy.2026.101450_b0185","doi-asserted-by":"crossref","unstructured":"L.C. Kenny, The SCOPE Consortium, L.W. Brown, P. Ortea, R. Tuytten, D.B. Kell, Relationship between the concentration of ergothioneine in plasma and the likelihood of developing pre-eclampsia, Biosci Rep 43(7) (2023) BSR20230160.","DOI":"10.1042\/BSR20230160"},{"issue":"7","key":"10.1016\/j.preghy.2026.101450_b0190","doi-asserted-by":"crossref","first-page":"1134","DOI":"10.1038\/cdd.2009.163","article-title":"The unusual amino acid L-ergothioneine is a physiologic cytoprotectant","volume":"17","author":"Paul","year":"2010","journal-title":"Cell Death Differ."},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0195","doi-asserted-by":"crossref","first-page":"784","DOI":"10.1016\/j.bbadis.2011.09.017","article-title":"Ergothioneine; antioxidant potential, physiological function and role in disease","volume":"1822","author":"Cheah","year":"2012","journal-title":"Biochim. Biophys. Acta"},{"issue":"4","key":"10.1016\/j.preghy.2026.101450_b0200","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1097\/FJC.0000000000000464","article-title":"Ergothioneine antioxidant function: from chemistry to cardiovascular therapeutic potential","volume":"69","author":"Servillo","year":"2017","journal-title":"J. Cardiovasc. Pharmacol."},{"key":"10.1016\/j.preghy.2026.101450_b0205","doi-asserted-by":"crossref","first-page":"3357","DOI":"10.1002\/1873-3468.13123","article-title":"Ergothioneine - a diet-derived antioxidant with therapeutic potential","volume":"592","author":"Halliwell","year":"2018","journal-title":"FEBS Lett."},{"key":"10.1016\/j.preghy.2026.101450_b0210","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1017\/S0954422419000301","article-title":"The biology of ergothioneine, an antioxidant nutraceutical","volume":"33","author":"Borodina","year":"2020","journal-title":"Nutr. Res. Rev."},{"key":"10.1016\/j.preghy.2026.101450_b0215","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1136\/heartjnl-2019-315485","article-title":"Ergothioneine is associated with reduced mortality and decreased risk of cardiovascular disease","volume":"106","author":"Smith","year":"2020","journal-title":"Heart"},{"key":"10.1016\/j.preghy.2026.101450_b0220","doi-asserted-by":"crossref","DOI":"10.1016\/j.freeradbiomed.2020.12.261","article-title":"Ergothioneine, a thiol\/thione antioxidant with therapeutic potential","volume":"165","author":"Halliwell","year":"2021","journal-title":"Free Radic. Biol. Med."},{"key":"10.1016\/j.preghy.2026.101450_b0225","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1186\/s40814-021-00929-6","article-title":"Ergothioneine supplementation in people with metabolic syndrome (ErgMS): protocol for a randomised, double-blind, placebocontrolled pilot study","volume":"7","author":"Tian","year":"2021","journal-title":"Pilot Feas Stud"},{"key":"10.1016\/j.preghy.2026.101450_b0230","article-title":"Ergothioneine as a natural antioxidant against oxidative stress-related diseases","volume":"13","author":"Fu","year":"2022","journal-title":"Front. Pharmacol."},{"issue":"10","key":"10.1016\/j.preghy.2026.101450_b0235","doi-asserted-by":"crossref","first-page":"1227","DOI":"10.1002\/1873-3468.14350","article-title":"Ergothioneine, where are we now?","volume":"596","author":"Halliwell","year":"2022","journal-title":"FEBS Lett."},{"key":"10.1016\/j.preghy.2026.101450_b0240","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1146\/annurev-food-060822-122236","article-title":"Diet-derived antioxidants: the special case of ergothioneine","volume":"14","author":"Halliwell","year":"2023","journal-title":"Ann. Rev. Food Sci. Technol."},{"key":"10.1016\/j.preghy.2026.101450_b0245","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1017\/S0007114522003592","article-title":"Ergothioneine: an underrecognised dietary micronutrient required for healthy ageing?","volume":"129","author":"Tian","year":"2023","journal-title":"Br. J. Nutr."},{"issue":"3","key":"10.1016\/j.preghy.2026.101450_b0250","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1093\/procel\/pwad048","article-title":"Ergothioneine and its congeners: anti-ageing mechanisms and pharmacophore biosynthesis","volume":"15","author":"Chen","year":"2024","journal-title":"Protein Cell"},{"key":"10.1016\/j.preghy.2026.101450_b0255","doi-asserted-by":"crossref","first-page":"6127","DOI":"10.2147\/JMDH.S547548","article-title":"The current situation and future trends of ergothioneine in biology and medical research: a bibliometric analysis","volume":"18","author":"Fu","year":"2025","journal-title":"J. Multidiscip. Healthc."},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0260","doi-asserted-by":"crossref","DOI":"10.1080\/07853890.2025.2555742","article-title":"Advances and prospects of ergothioneine in the treatment of cognitive frailty","volume":"57","author":"Gede","year":"2025","journal-title":"Ann. Med."},{"key":"10.1016\/j.preghy.2026.101450_b0265","doi-asserted-by":"crossref","DOI":"10.1016\/j.jri.2025.104621","article-title":"The roles of placental senescence, autophagy and senotherapeutics in the development and prevention of pre-eclampsia: a focus on ergothioneine","volume":"171","author":"Kell","year":"2025","journal-title":"J. Reprod. Immunol."},{"key":"10.1016\/j.preghy.2026.101450_b0270","article-title":"Ergothioneine as a promising natural antioxidant: bioactivities, therapeutic potential, and industrial applications","author":"Lei","year":"2025","journal-title":"Food Funct."},{"key":"10.1016\/j.preghy.2026.101450_b0275","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1017\/S0029665125101754","article-title":"Ergothioneine for cognitive health, longevity and healthy aging: where are we now?","author":"May-Zhang","year":"2025","journal-title":"Proc. Nutr. Soc."},{"issue":"9","key":"10.1016\/j.preghy.2026.101450_b0280","doi-asserted-by":"crossref","first-page":"1588","DOI":"10.3390\/foods14091588","article-title":"A review of novel antioxidant ergothioneine: biosynthesis pathways, production, function and food applications","volume":"14","author":"Zhang","year":"2025","journal-title":"Foods"},{"key":"10.1016\/j.preghy.2026.101450_b0285","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1161\/HYPERTENSIONAHA.119.13929","article-title":"L-(+)-Ergothioneine significantly improves the clinical characteristics of preeclampsia in the reduced uterine perfusion pressure rat model","volume":"75","author":"Williamson","year":"2020","journal-title":"Hypertension"},{"issue":"12","key":"10.1016\/j.preghy.2026.101450_b0290","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0244369","article-title":"Screening for pregnancy endpoints consortium, prediction of preeclampsia risk in first time pregnant women: metabolite biomarkers for a clinical test","volume":"15","author":"Kenny","year":"2020","journal-title":"PLoS One"},{"key":"10.1016\/j.preghy.2026.101450_b0295","series-title":"The long tail: how endless choice is creating unlimited demand","author":"Anderson","year":"2006"},{"key":"10.1016\/j.preghy.2026.101450_b0300","series-title":"The black swan: the impact of the highly improbable","author":"Taleb","year":"2007"},{"issue":"3","key":"10.1016\/j.preghy.2026.101450_b0305","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1136\/thx.53.3.166","article-title":"Dietary intake of antioxidant (pro)-vitamins, respiratory symptoms and pulmonary function: the MORGEN study","volume":"53","author":"Grievink","year":"1998","journal-title":"Thorax"},{"issue":"12","key":"10.1016\/j.preghy.2026.101450_b0310","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.3390\/nu3121003","article-title":"A carotenoid health index based on plasma carotenoids and health outcomes","volume":"3","author":"Donaldson","year":"2011","journal-title":"Nutrients"},{"issue":"2\u20133","key":"10.1016\/j.preghy.2026.101450_b0315","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1080\/21551197.2017.1317315","article-title":"Dietary and supplemental vitamin C and D on symptom severity and physical function in knee osteoarthritis","volume":"36","author":"Hung","year":"2017","journal-title":"J Nutr Gerontol Geriatr"},{"issue":"3","key":"10.1016\/j.preghy.2026.101450_b0320","doi-asserted-by":"crossref","first-page":"569","DOI":"10.3390\/nu14030569","article-title":"Nutraceuticals in paediatric patients with dyslipidaemia","volume":"14","author":"Banderali","year":"2022","journal-title":"Nutrients"},{"key":"10.1016\/j.preghy.2026.101450_b0325","doi-asserted-by":"crossref","DOI":"10.1042\/BSR20231076","article-title":"Dose-related relationship between ergothioneine concentrations and risk of preeclampsia","author":"Ho","year":"2023","journal-title":"Biosci. Rep."},{"key":"10.1016\/j.preghy.2026.101450_b0330","series-title":"How scientists explain disease","author":"Thagard","year":"1999"},{"key":"10.1016\/j.preghy.2026.101450_b0335","doi-asserted-by":"crossref","unstructured":"P. Thagard, Explanatory coherence, reasoning: studies of human inference and its foundations (2008) 471-513.","DOI":"10.1017\/CBO9780511814273.026"},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0340","first-page":"1","article-title":"Probability plotting methods for the analysis of data","volume":"55","author":"Wilk","year":"1968","journal-title":"Biometrika"},{"key":"10.1016\/j.preghy.2026.101450_b0345","series-title":"Visualizing data","author":"Cleveland","year":"1993"},{"key":"10.1016\/j.preghy.2026.101450_b0350","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1093\/biomet\/52.3-4.591","article-title":"An analysis of variance test for normality","volume":"52","author":"Shapiro","year":"1965","journal-title":"Nbiometrika"},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0355","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1016\/0277-9536(91)90212-U","article-title":"On the measurement of inequalities in health","volume":"33","author":"Wagstaff","year":"1991","journal-title":"Soc. Sci. Med."},{"issue":"10","key":"10.1016\/j.preghy.2026.101450_b0360","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1136\/jech.2006.052969","article-title":"Income inequality measures","volume":"61","author":"De Maio","year":"2007","journal-title":"J. Epidemiol. Community Health"},{"issue":"16","key":"10.1016\/j.preghy.2026.101450_b0365","doi-asserted-by":"crossref","first-page":"3191","DOI":"10.1002\/sim.3151","article-title":"Estimating the empirical Lorenz curve and Gini coefficient in the presence of error with nested data","volume":"27","author":"Moskowitz","year":"2008","journal-title":"Stat. Med."},{"key":"10.1016\/j.preghy.2026.101450_b0370","series-title":"The spirit level: why equality is better for everyone","author":"Wilkinson","year":"2009"},{"issue":"6","key":"10.1016\/j.preghy.2026.101450_b0375","doi-asserted-by":"crossref","DOI":"10.3390\/ijerph19063697","article-title":"Summary measures of health inequality: a review of existing measures and their application","volume":"19","author":"Schlotheuber","year":"2022","journal-title":"Int. J. Environ. Res. Public Health"},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0380","doi-asserted-by":"crossref","first-page":"1960","DOI":"10.1186\/s12889-025-22921-y","article-title":"Gini coefficient, GDP per capita and COVID-19 mortality: a systematic review of ecologic studies","volume":"25","author":"Abbasi","year":"2025","journal-title":"BMC Public Health"},{"key":"10.1016\/j.preghy.2026.101450_b0385","doi-asserted-by":"crossref","unstructured":"S. O'Hagan, M. Wright Muelas, P.J. Day, E. Lundberg, D.B. Kell, GeneGini: assessment via the Gini coefficient of reference \u2018\u2018housekeeping\u2019\u2019 genes and diverse human transporter expression profiles Cell Syst 6(2) (2018) 230-244.","DOI":"10.1016\/j.cels.2018.01.003"},{"key":"10.1016\/j.preghy.2026.101450_b0390","doi-asserted-by":"crossref","unstructured":"M. Wright Muelas, F. Mughal, S. O\u2019Hagan, P.J. Day, D.B. Kell, The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data Sci Rep 9 (2019) 17960.","DOI":"10.1038\/s41598-019-54288-7"},{"key":"10.1016\/j.preghy.2026.101450_b0395","doi-asserted-by":"crossref","first-page":"e9089","DOI":"10.7717\/peerj.9089","article-title":"Resampling-based methods for biologists","volume":"8","author":"Fieberg","year":"2020","journal-title":"PeerJ"},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0400","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1186\/s12889-021-10609-y","article-title":"Occupancy modeling and resampling overcomes low test sensitivity to produce accurate SARS-CoV-2 prevalence estimates","volume":"21","author":"Sanderlin","year":"2021","journal-title":"BMC Public Health"},{"issue":"3","key":"10.1016\/j.preghy.2026.101450_b0405","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1214\/ss\/1177009939","article-title":"Bayesian experimental design: a review","volume":"10","author":"Chaloner","year":"1995","journal-title":"Stat. Sci."},{"issue":"2","key":"10.1016\/j.preghy.2026.101450_b0410","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1002\/bimj.200800239","article-title":"Extreme value analysis in biometrics","volume":"51","author":"H\u00fcsler","year":"2009","journal-title":"Biom. J."},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0415","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1007\/s12551-024-01239-w","article-title":"Extreme-value analysis in nano-biological systems: applications and implications","volume":"16","author":"Hayashi","year":"2024","journal-title":"Biophys. Rev."},{"key":"10.1016\/j.preghy.2026.101450_b0420","doi-asserted-by":"crossref","first-page":"2659","DOI":"10.1002\/2015WR018502","article-title":"Threshold detection for the generalized Pareto distribution: review of representative methods and application to theNOAA NCDC daily rainfall database","volume":"52","author":"Langousis","year":"2016","journal-title":"Water Res Res"},{"key":"10.1016\/j.preghy.2026.101450_b0425","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhydrol.2024.130958","article-title":"Climate change effects on rainfall extreme value distribution: the role of skewness","volume":"634","author":"De Luca","year":"2024","journal-title":"J. Hydrol."},{"key":"10.1016\/j.preghy.2026.101450_b0430","doi-asserted-by":"crossref","DOI":"10.1155\/2023\/9750638","article-title":"Shrinkage methods for estimating the shape parameter of the generalized pareto distribution","volume":"2023","author":"Pels","year":"2023","journal-title":"J. Appl. Math."},{"key":"10.1016\/j.preghy.2026.101450_b0435","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1016\/j.econmod.2020.10.002","article-title":"Financial contagion and contagion channels in the forex market: a new approach via the dynamic mixture copula-extreme value theory","volume":"94","author":"Wang","year":"2021","journal-title":"Econ. Model."},{"key":"10.1016\/j.preghy.2026.101450_b0440","first-page":"6","article-title":"Assessing the importance of the choice threshold in quantifying market risk under the POT approach (EVT)","volume":"25","author":"Benito","year":"2023","journal-title":"Rism Management"},{"key":"10.1016\/j.preghy.2026.101450_b0445","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1080\/10920277.1999.10595797","article-title":"Extreme value theory as a risk management tool","volume":"3","author":"Embrechts","year":"2013","journal-title":"North Am. Actuarial. J."},{"issue":"2","key":"10.1016\/j.preghy.2026.101450_b0450","doi-asserted-by":"crossref","first-page":"852","DOI":"10.1080\/07350015.2021.1874390","article-title":"Risk analysis via generalized pareto distributions","volume":"40","author":"He","year":"2022","journal-title":"J. Bus. Econ. Stat."},{"key":"10.1016\/j.preghy.2026.101450_b0455","doi-asserted-by":"crossref","first-page":"2348","DOI":"10.1016\/j.jspi.2011.01.020","article-title":"Coupon collector\u2019s problem and generalized Pareto distributions","volume":"141","author":"Jockovi\u0107","year":"2011","journal-title":"J. Stat. Plan Inf."},{"key":"10.1016\/j.preghy.2026.101450_b0460","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1109\/TPWRS.2019.2930113","article-title":"The use of extreme value theory for forecasting long-term substation maximum electricity demand","volume":"35","author":"Li","year":"2020","journal-title":"IEEE Trans. Power Syst."},{"issue":"7","key":"10.1016\/j.preghy.2026.101450_b0465","doi-asserted-by":"crossref","first-page":"788","DOI":"10.3390\/e23070788","article-title":"Extreme value theory in application to delivery delays","volume":"23","author":"Fa\u0142dzi\u0144ski","year":"2021","journal-title":"Entropy (Basel)"},{"key":"10.1016\/j.preghy.2026.101450_b0470","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.134522","article-title":"Using extreme value theory to take better account of peak demand when generating typical periods by clustering for district heating networks design optimisation","volume":"316","author":"Leoncini","year":"2025","journal-title":"Energy"},{"key":"10.1016\/j.preghy.2026.101450_b0475","article-title":"Extreme value statistics of peak residential electricity demand: effect of aggregation and moving-average smoothing","volume":"42","author":"Jack","year":"2025","journal-title":"Sust. Energ. Grid Netw."},{"issue":"7","key":"10.1016\/j.preghy.2026.101450_b0480","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0159312","article-title":"Applications of extreme value theory in public health","volume":"11","author":"Thomas","year":"2016","journal-title":"PLoS One"},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0485","doi-asserted-by":"crossref","first-page":"1498","DOI":"10.1177\/0962280216662494","article-title":"Mortality and morbidity peaks modeling: an extreme value theory approach","volume":"27","author":"Chiu","year":"2018","journal-title":"Stat. Methods Med. Res."},{"issue":"3","key":"10.1016\/j.preghy.2026.101450_b0490","doi-asserted-by":"crossref","first-page":"807","DOI":"10.2307\/2532346","article-title":"A statistical distribution with an unbounded hazard function and its application to a theory from demography","volume":"48","author":"Zelterman","year":"1992","journal-title":"Biometrics"},{"issue":"4","key":"10.1016\/j.preghy.2026.101450_b0495","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1080\/08898489409525379","article-title":"On the maximal life span of humans","volume":"4","author":"Aarssen","year":"1994","journal-title":"Math. Popul. Stud."},{"issue":"9","key":"10.1016\/j.preghy.2026.101450_b0500","doi-asserted-by":"crossref","DOI":"10.1098\/rsos.202097","article-title":"Human mortality at extreme age","volume":"8","author":"Belzile","year":"2021","journal-title":"R. Soc. Open Sci."},{"key":"10.1016\/j.preghy.2026.101450_b0505","doi-asserted-by":"crossref","first-page":"1075","DOI":"10.1080\/01621459.2018.1537912","article-title":"Limits to human life span through extreme value theory","volume":"114","author":"Einmahl","year":"2019","journal-title":"J. Amer. Stat. Assoc."},{"key":"10.1016\/j.preghy.2026.101450_b0510","first-page":"254","article-title":"An analysis of the maximum lifespan in the world and Japan","volume":"10","author":"Maruyama","year":"2022","journal-title":"J. Biosci. Med."},{"issue":"8","key":"10.1016\/j.preghy.2026.101450_b0515","doi-asserted-by":"crossref","first-page":"1014","DOI":"10.1093\/gerona\/glv113","article-title":"Estimating the upper limit of lifetime probability distribution, based on data of Japanese centenarians","volume":"71","author":"Hanayama","year":"2016","journal-title":"J. Gerontol. A Biol. Sci. Med. Sci."},{"key":"10.1016\/j.preghy.2026.101450_b0520","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1007\/s10687-017-0305-5","article-title":"Human life is unlimited \u2013 but short","volume":"20","author":"Rootz\u00e9n","year":"2017","journal-title":"Extremes"},{"key":"10.1016\/j.preghy.2026.101450_b0525","doi-asserted-by":"crossref","first-page":"1271","DOI":"10.4054\/DemRes.2021.44.52","article-title":"Probabilistic forecasting of maximum human lifespan by 2100 using Bayesian population projections","volume":"44","author":"Pearce","year":"2021","journal-title":"Demogr. Res."},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0530","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1016\/j.mehy.2012.02.004","article-title":"Gompertz' survivorship law as an intrinsic principle of aging","volume":"78","author":"Sas","year":"2012","journal-title":"Med. Hypotheses"},{"issue":"4","key":"10.1016\/j.preghy.2026.101450_b0535","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1007\/s10522-008-9184-0","article-title":"Makeham's addition to the Gompertz law re-evaluated","volume":"10","author":"Hall\u00e9n","year":"2009","journal-title":"Biogerontology"},{"issue":"1666","key":"10.1016\/j.preghy.2026.101450_b0540","doi-asserted-by":"crossref","DOI":"10.1098\/rstb.2014.0379","article-title":"Deciphering death: a commentary on Gompertz (1825) 'on the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies'","volume":"370","author":"Kirkwood","year":"2015","journal-title":"Philos. Trans. R. Soc. Lond. B Biol. Sci."},{"issue":"3","key":"10.1016\/j.preghy.2026.101450_b0545","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.physbeh.2005.08.016","article-title":"Gompertzian growth and decay: a powerful descriptive tool for neuroscience","volume":"86","author":"Easton","year":"2005","journal-title":"Physiol. Behav."},{"issue":"2","key":"10.1016\/j.preghy.2026.101450_b0550","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1134\/S0006297924020123","article-title":"Exploring patterns of human mortality and aging: a reliability theory viewpoint","volume":"89","author":"Gavrilov","year":"2024","journal-title":"Biochemistry (Mosc.)"},{"key":"10.1016\/j.preghy.2026.101450_b0555","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1214\/aop\/1176996548","article-title":"Residual life time at great age","volume":"2","author":"Balkema","year":"1974","journal-title":"Ann. Probab."},{"key":"10.1016\/j.preghy.2026.101450_b0560","series-title":"An introduction to statistical modeling of extreme values","author":"Coles","year":"2001"},{"key":"10.1016\/j.preghy.2026.101450_b0565","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1093\/biomet\/66.2.299","article-title":"The generalized Pareto law as a model for progressively censored survival data","volume":"66","author":"Davis","year":"1979","journal-title":"Biometrika"},{"issue":"11","key":"10.1016\/j.preghy.2026.101450_b0570","doi-asserted-by":"crossref","first-page":"1965","DOI":"10.1002\/sim.6431","article-title":"Summarising censored survival data using the mean residual life function","volume":"34","author":"Alvarez-Iglesias","year":"2015","journal-title":"Stat. Med."},{"key":"10.1016\/j.preghy.2026.101450_b0575","doi-asserted-by":"crossref","unstructured":"Y. He, L. Peng, D. Zhang, Z. Zhao, Refining Kaplan-Meier estimation with the generalized pareto model for survival analysis, https:\/\/ssrn.com\/abstract=4985056 (2024).","DOI":"10.2139\/ssrn.4985056"},{"issue":"6","key":"10.1016\/j.preghy.2026.101450_b0580","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0178691","article-title":"The use of Gompertz models in growth analyses, and new Gompertz-model approach: an addition to the Unified-Richards family","volume":"12","author":"Tj\u00f8rve","year":"2017","journal-title":"PLoS One"},{"key":"10.1016\/j.preghy.2026.101450_b0585","doi-asserted-by":"crossref","DOI":"10.1016\/j.biotechadv.2024.108335","article-title":"The Gompertz model and its applications in microbial growth and bioproduction kinetics: past, present and future","volume":"72","author":"Wang","year":"2024","journal-title":"Biotechnol. Adv."},{"issue":"Suppl 1","key":"10.1016\/j.preghy.2026.101450_b0590","doi-asserted-by":"crossref","first-page":"S4","DOI":"10.1016\/j.jcpa.2009.10.016","article-title":"The law of mortality revisited: interspecies comparisons of mortality","volume":"142","author":"Olshansky","year":"2010","journal-title":"J. Comp. Pathol."},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0595","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/0167-4943(82)90003-6","article-title":"Rate of aging, rate of dying and the mechanism of mortality","volume":"1","author":"Economos","year":"1982","journal-title":"Arch. Gerontol. Geriatr."},{"issue":"1\u20132","key":"10.1016\/j.preghy.2026.101450_b0600","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/0047-6374(94)90095-7","article-title":"The analysis of survival (mortality) data: fitting Gompertz Weibull, and logistic functions","volume":"74","author":"Wilson","year":"1994","journal-title":"Mech, Ageing Dev."},{"issue":"3","key":"10.1016\/j.preghy.2026.101450_b0605","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/0047-6374(96)01747-2","article-title":"Use of the recursion formula of the Gompertz survival function to evaluate life-table data","volume":"89","author":"Bassukas","year":"1996","journal-title":"Mech. Ageing Dev."},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0610","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1093\/gerona\/glp022","article-title":"Complementary Gompertz survival models: decreasing alive versus increasing dead","volume":"64","author":"Easton","year":"2009","journal-title":"J. Gerontol. A Biol. Sci. Med. Sci."},{"issue":"10","key":"10.1016\/j.preghy.2026.101450_b0615","doi-asserted-by":"crossref","first-page":"B432","DOI":"10.1093\/gerona\/56.10.B432","article-title":"Have the oldest old adults ever been frail in the past? A hypothesis that explains modern trends in survival","volume":"56","author":"Yashin","year":"2001","journal-title":"J. Gerontol. A Biol. Sci. Med. Sci."},{"issue":"3","key":"10.1016\/j.preghy.2026.101450_b0620","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1016\/j.jtbi.2006.11.011","article-title":"Modeling human mortality using mixtures of bathtub shaped failure distributions","volume":"245","author":"Bebbington","year":"2007","journal-title":"J. Theor. Biol."},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0625","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1080\/10543406.2022.2080689","article-title":"Defective 3-parameter Gompertz model with frailty term for estimating cure fraction in survival data","volume":"33","author":"Hajizadeh","year":"2023","journal-title":"J. Biopharm. Stat."},{"issue":"4","key":"10.1016\/j.preghy.2026.101450_b0630","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1177\/0272989X241232967","article-title":"Using age-specific rates for parametric survival function estimation in simulation models","volume":"44","author":"Arrospide","year":"2024","journal-title":"Med. Decis. Making"},{"key":"10.1016\/j.preghy.2026.101450_b0635","doi-asserted-by":"crossref","first-page":"595","DOI":"10.4054\/DemRes.2024.51.18","article-title":"Makeham mortality models as mixtures: advancing mortality estimations through competing risks frameworks","volume":"51","author":"Patricio","year":"2024","journal-title":"Demographic Res"},{"key":"10.1016\/j.preghy.2026.101450_b0640","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhealeco.2025.102988","article-title":"How do we age? A decomposition of Gompertz law","volume":"101","author":"Hansen","year":"2025","journal-title":"J. Health Econ."},{"key":"10.1016\/j.preghy.2026.101450_b0645","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.31157","article-title":"Naked Mole-Rat mortality rates defy gompertzian laws by not increasing with age","volume":"7","author":"Ruby","year":"2018","journal-title":"Elife"},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0650","doi-asserted-by":"crossref","first-page":"5321","DOI":"10.1007\/s11357-024-01201-4","article-title":"Five years later, with double the demographic data, naked mole-rat mortality rates continue to defy Gompertzian laws by not increasing with age","volume":"46","author":"Ruby","year":"2024","journal-title":"Geroscience"},{"issue":"2","key":"10.1016\/j.preghy.2026.101450_b0655","doi-asserted-by":"crossref","first-page":"178","DOI":"10.3390\/e24020178","article-title":"Baseline methods for the parameter estimation of the generalized pareto distribution","volume":"24","author":"Mart\u00edn","year":"2022","journal-title":"Entropy (Basel)"},{"key":"10.1016\/j.preghy.2026.101450_b0660","first-page":"33","article-title":"A review of extreme value threshold estimation and uncertainty quantification","volume":"10","author":"Scarrott","year":"2012","journal-title":"Stat. J."},{"key":"10.1016\/j.preghy.2026.101450_b0665","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/978-1-4939-7027-8_9","article-title":"Mathematical modeling of avidity distribution and estimating general binding properties of transcription factors from genome-wide binding profiles","volume":"1613","author":"Kuznetsov","year":"2017","journal-title":"Methods Mol. Biol."},{"key":"10.1016\/j.preghy.2026.101450_b0670","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1016\/j.neuroimage.2016.05.068","article-title":"Faster permutation inference in brain imaging","volume":"141","author":"Winkler","year":"2016","journal-title":"Neuroimage"},{"key":"10.1016\/j.preghy.2026.101450_b0675","article-title":"Theory of clinical therapeutic progress: reconciling equipoise with fat-tailed (skewed) outcomes","volume":"112004","author":"Hozo","year":"2025","journal-title":"J. Clin. Epidemiol."},{"issue":"1","key":"10.1016\/j.preghy.2026.101450_b0680","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/s10928-020-09721-0","article-title":"The application of extreme value theory to pharmacometrics","volume":"48","author":"Bonate","year":"2021","journal-title":"J. Pharmacokinet Pharmacodyn."},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0685","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1002\/pst.1531","article-title":"Multivariate extreme value modelling of laboratory safety data from clinical studies","volume":"11","author":"Southworth","year":"2012","journal-title":"Pharm. Stat."},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0690","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1002\/pst.1510","article-title":"Extreme value modelling of laboratory safety data from clinical studies","volume":"11","author":"Southworth","year":"2012","journal-title":"Pharm. Stat."},{"issue":"17","key":"10.1016\/j.preghy.2026.101450_b0695","doi-asserted-by":"crossref","first-page":"2914","DOI":"10.1002\/sim.6142","article-title":"Predicting potential liver toxicity from phase 2 data: a case study with ximelagatran","volume":"33","author":"Southworth","year":"2014","journal-title":"Stat. Med."},{"key":"10.1016\/j.preghy.2026.101450_b0700","series-title":"The elements of statistical learning: data mining, inference and prediction","author":"Hastie","year":"2009"},{"key":"10.1016\/j.preghy.2026.101450_b0705","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.insmatheco.2020.02.009","article-title":"Modelling extreme claims via composite models and threshold selection methods","volume":"91","author":"Wang","year":"2021","journal-title":"Insurance Math Econ"},{"key":"10.1016\/j.preghy.2026.101450_b0710","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1111\/rssc.12159","article-title":"Cross-validatory extreme value threshold selection and uncertainty with application to ocean storm severity","volume":"66","author":"Northrop","year":"2017","journal-title":"J. Roy. Stat. Soc. C"},{"key":"10.1016\/j.preghy.2026.101450_b0715","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1080\/00401706.1993.10485040","article-title":"Computing maximum likelihood estimates for the generalized pareto distribution","volume":"35","author":"Grimshaw","year":"1993","journal-title":"Technometrics"},{"key":"10.1016\/j.preghy.2026.101450_b0720","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.csda.2014.10.014","article-title":"Likelihood inference for generalized Pareto distribution","volume":"83","author":"del Castillo","year":"2015","journal-title":"Comput. Stat. Data Anal."},{"key":"10.1016\/j.preghy.2026.101450_b0725","article-title":"Maximum likelihood estimation for the generalized Pareto distribution and goodness-of-fit test with censored data","volume":"17","author":"Pham","year":"2018","journal-title":"J. Mod. Appl. Stat. Meth."},{"key":"10.1016\/j.preghy.2026.101450_b0730","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1007\/s10687-021-00405-7","article-title":"Threshold selection in univariate extreme value analysis","volume":"24","author":"Schneider","year":"2021","journal-title":"Extremes"},{"key":"10.1016\/j.preghy.2026.101450_b0735","unstructured":"C. Murphy, J.A. Tawn, Z. Varty, Automated threshold selection and associated inference uncertainty for univariate extremes, arXiv (2023) 2310.17999."},{"key":"10.1016\/j.preghy.2026.101450_b0740","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1111\/j.2517-6161.1990.tb01796.x","article-title":"Models for exceedances over high thresholds","volume":"52","author":"Davison","year":"1990","journal-title":"J. R. Stat. Soc."},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0745","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1089\/ars.2016.6778","article-title":"Administration of pure ergothioneine to healthy human subjects: uptake, metabolism, and effects on biomarkers of oxidative damage and inflammation","volume":"26","author":"Cheah","year":"2017","journal-title":"Antioxid. Redox Signal."},{"issue":"6","key":"10.1016\/j.preghy.2026.101450_b0750","doi-asserted-by":"crossref","DOI":"10.1002\/fsn3.70382","article-title":"Estimation and validation of an effective ergothioneine dose for improved sleep quality using physiologically based pharmacokinetic model","volume":"13","author":"Okumura","year":"2025","journal-title":"Food Sci. Nutr."},{"key":"10.1016\/j.preghy.2026.101450_b0755","doi-asserted-by":"crossref","unstructured":"EFSA Panel on Dietetic Products Nutrition and Allergies (NDA), D. Turck, J.-L. Bresson, B. Burlingame, T. Dean, S. Fairweather-Tait, M. Heinonen, K.I. Hirsch-Ernst, I. Mangelsdorf, H.J. McArdle, A. Naska, M. Neuh\u00e4user-Berthold, G.z. Nowicka, K. Pentieva, Y. Sanz, A. Siani, A. Sj\u00f6din, M. Stern, D. Tom\u00e9, M. Vinceti, P. Willatts, K.H. Engel, R. Marchelli, A. P\u00f6ting, M. Poulsen, J. Schlatter, R. Ackerl, H.v. Loveren, Safety of synthetic L-ergothioneine (Ergoneine\u00ae) as a novel food pursuant to Regulation (EC) No 258\/97, EFSA J 14(11) (2016) 1629.","DOI":"10.2903\/j.efsa.2016.4629"},{"key":"10.1016\/j.preghy.2026.101450_b0760","doi-asserted-by":"crossref","unstructured":"EFSA Panel on Dietetic Products Nutrition Allergies (NDA), D. Turck, J.L. Bresson, B. Burlingame, T. Dean, S. Fairweather-Tait, M. Heinonen, K.I. Hirsch-Ernst, I. Mangelsdorf, H.J. McArdle, A. Naska, M. Neuhauser-Berthold, G. Nowicka, K. Pentieva, Y. Sanz, A. Siani, A. Sjodin, M. Stern, D. Tome, M. Vinceti, P. Willatts, K.H. Engel, R. Marchelli, A. Poting, M. Poulsen, J.R. Schlatter, R. Ackerl, H. van Loveren, Statement on the safety of synthetic l-ergothioneine as a novel food - supplementary dietary exposure and safety assessment for infants and young children, pregnant and breastfeeding women, EFSA J 15(11) (2017) e05060.","DOI":"10.2903\/j.efsa.2017.5060"},{"issue":"5","key":"10.1016\/j.preghy.2026.101450_b0765","doi-asserted-by":"crossref","first-page":"1172","DOI":"10.1039\/C4CS00351A","article-title":"Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently","volume":"44","author":"Currin","year":"2015","journal-title":"Chem. Soc. Rev."},{"issue":"4","key":"10.1016\/j.preghy.2026.101450_b0770","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1038\/s41592-021-01100-y","article-title":"Low-N protein engineering with data-efficient deep learning","volume":"18","author":"Biswas","year":"2021","journal-title":"Nat. Methods"},{"issue":"8","key":"10.1016\/j.preghy.2026.101450_b0775","doi-asserted-by":"crossref","first-page":"e124","DOI":"10.1371\/journal.pmed.0020124","article-title":"Why most published research findings are false","volume":"2","author":"Ioannidis","year":"2005","journal-title":"PLoS Med."}],"container-title":["Pregnancy Hypertension"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210778926000371?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210778926000371?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T07:56:07Z","timestamp":1780905367000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2210778926000371"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":155,"alternative-id":["S2210778926000371"],"URL":"https:\/\/doi.org\/10.1016\/j.preghy.2026.101450","relation":{},"ISSN":["2210-7789"],"issn-type":[{"value":"2210-7789","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Determining the desired concentration of a nutraceutical based on the variation of its concentration with the incidence of a disease: application to ergothioneine and pre-eclampsia","name":"articletitle","label":"Article Title"},{"value":"Pregnancy Hypertension","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.preghy.2026.101450","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V. on behalf of International Society for the Study of Hypertension in Pregnancy.","name":"copyright","label":"Copyright"}],"article-number":"101450"}}