{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Beentjes CHL"],"funding":["British Heart Foundation","Medical Research Council","Wellbeing of Women","NIH","NIAMS NIH HHS","Wellcome Trust","Biotechnology and Biological Sciences Research Council","Engineering and Physical Sciences Research Council"],"pagination":["152-160"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7614536"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["190"],"pubmed_abstract":["Vitamin D deficiency is linked to adverse pregnancy outcomes such as pre-eclampsia (PET) but remains defined by serum measurement of 25-hydroxyvitamin D3 (25(OH)D3) alone. To identify broader changes in vitamin D metabolism during normal and PET pregnancies we developed a relatively simple but fully parametrised mathematical model of the vitamin D metabolic pathway. The data used for parametrisation were serum vitamin D metabolites analysed for a cross-sectional group of women (n = 88); including normal pregnant women at 1 st (NP1, n = 25) and 3rd trimester (NP3, n = 21) and pregnant women with PET (n = 22), as well as non-pregnant female controls (n = 20). To account for the effects various metabolites have upon each other, data were analysed using an ordinary differential equation model of the vitamin D reaction network. Information obtained from the model was then also applied to serum vitamin D metabolome data (n = 50) obtained from a 2nd trimester pregnancy cohort, of which 25 prospectively developed PET. Statistical analysis of the data alone showed no significant difference between NP3 and PET for serum 25(OH)D3 and 24,25(OH)<sub>2</sub>D3 concentrations. Conversely, a statistical analysis informed by the reaction network model revealed that a better indicator of PET is the ratios of vitamin D metabolites in late pregnancy. Assessing the potential predicative value, no significant difference between NP3 and PET cases at 15 weeks gestation was found. Mathematical modelling offers a novel strategy for defining the impact of vitamin D metabolism on human health. This is particularly relevant within the context of pregnancy, where major changes in vitamin D metabolism occur across gestation, and dysregulated metabolism is evidenced in women with established PET."],"journal":["The Journal of steroid biochemistry and molecular biology"],"pubmed_title":["Defining vitamin D status using multi-metabolite mathematical modelling: A pregnancy perspective."],"pmcid":["PMC7614536"],"funding_grant_id":["EP/G037280/1","101222/Z/13/Z","BB/M025888/1","R01 AR063910","101222","BB/M021386/1","PG/16/20/32074","AR063910","EP/L001101/1","RTF401","1615996"],"pubmed_authors":["Hewison M","Beentjes CHL","Taylor-King JP","Jabbari S","Mirams GR","Tamblyn JA","Dunster JL","Davis CN","Kilby MD","Bayani A","Jenkinson C"],"additional_accession":[]},"is_claimable":false,"name":"Defining vitamin D status using multi-metabolite mathematical modelling: A pregnancy perspective.","description":"Vitamin D deficiency is linked to adverse pregnancy outcomes such as pre-eclampsia (PET) but remains defined by serum measurement of 25-hydroxyvitamin D3 (25(OH)D3) alone. To identify broader changes in vitamin D metabolism during normal and PET pregnancies we developed a relatively simple but fully parametrised mathematical model of the vitamin D metabolic pathway. The data used for parametrisation were serum vitamin D metabolites analysed for a cross-sectional group of women (n = 88); including normal pregnant women at 1 st (NP1, n = 25) and 3rd trimester (NP3, n = 21) and pregnant women with PET (n = 22), as well as non-pregnant female controls (n = 20). To account for the effects various metabolites have upon each other, data were analysed using an ordinary differential equation model of the vitamin D reaction network. Information obtained from the model was then also applied to serum vitamin D metabolome data (n = 50) obtained from a 2nd trimester pregnancy cohort, of which 25 prospectively developed PET. Statistical analysis of the data alone showed no significant difference between NP3 and PET for serum 25(OH)D3 and 24,25(OH)<sub>2</sub>D3 concentrations. Conversely, a statistical analysis informed by the reaction network model revealed that a better indicator of PET is the ratios of vitamin D metabolites in late pregnancy. Assessing the potential predicative value, no significant difference between NP3 and PET cases at 15 weeks gestation was found. Mathematical modelling offers a novel strategy for defining the impact of vitamin D metabolism on human health. This is particularly relevant within the context of pregnancy, where major changes in vitamin D metabolism occur across gestation, and dysregulated metabolism is evidenced in women with established PET.","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Jun","modification":"2025-04-04T02:25:58.609Z","creation":"2025-02-19T01:23:39.034Z"},"accession":"S-EPMC7614536","cross_references":{"pubmed":["30926429"],"doi":["10.1016/j.jsbmb.2019.03.024"]}}