Evidence map›Paper›PMID 30926429›Full record

ArticleThe Journal of steroid biochemistry and molecular biology2019

Defining vitamin D status using multi-metabolite mathematical modelling: A pregnancy perspective.

C H L Beentjes, J P Taylor-King, A Bayani, C N Davis, J L Dunster, S Jabbari, G R Mirams, C Jenkinson, M D Kilby, M Hewison and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of steroid biochemistry and molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 2 countries.

C H L BeentjesMathematical Institute, University of Oxford, Oxford, UK.
J P Taylor-KingDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 OAS, UK; Institute of Molecular Systems Biology, Department of Biology, ETHZ, CH-8093, Zurich, Switzerland.
A BayaniDepartment of Physics and Mathematics, School of Science and Technology, Nottingham Trent University, Nottingham, UK.
C N DavisMathSys CDT, Mathematics Institute, University of Warwick, Coventry, UK.
J L DunsterInstitute for Cardiovascular and Metabolic Research, University of Reading, UK.
S JabbariSchool of Mathematics and Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK.
G R MiramsCentre for Mathematical Medicine & Biology, Mathematical Sciences, University of Nottingham, UK.
C JenkinsonInstitute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
M D KilbyInstitute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK; Centre for Women's & Newborn Health, Birmingham Health Partners, Birmingham Women's & Children's Foundation Hospital, Edgbaston, Birmingham, UK; Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK; Fetal Medicine Centre, Birmingham Women's & Children's Foundation Trust, Edgbaston, Birmingham, UK.
M HewisonCentre for Women's & Newborn Health, Birmingham Health Partners, Birmingham Women's & Children's Foundation Hospital, Edgbaston, Birmingham, UK; Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK.
J A TamblynInstitute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK; Centre for Women's & Newborn Health, Birmingham Health Partners, Birmingham Women's & Children's Foundation Hospital, Edgbaston, Birmingham, UK; Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK. Electronic address: J.Tamblyn@bham.ac.uk.
Birmingham Women's Hospital · GBUniversity of Birmingham · GBNottingham Trent University · GBUniversity of Cambridge · GBUniversity of Nottingham · GBUniversity of Oxford · GBUniversity of Reading · GBUniversity of Warwick · GB

Funding

DBP and the bioavailability and function of vitamin DR01AR063910 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ADAMS, JOHN S, HEWISON, MARTIN · 2013 to 2017
$1.8M
Biotechnology and Biological Sciences Research Council BB/M021386/1Biotechnology and Biological Sciences Research Council BB/M025888/1British Heart Foundation PG/16/20/32074NIAMS NIH HHS R01 AR063910Wellcome Trust 101222Wellcome Trust 101222/Z/13/Z
6 · The paper itself

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)

Indexed as

AdultComputer SimulationCross-Sectional StudiesFemaleHumansMetabolic Networks and PathwaysModels, BiologicalPre-EclampsiaPregnancyVitamin DVitamin D DeficiencyYoung AdultVitamin DMathematical modelMetabolomePreeclampsiaPregnancyVitamin D

Identifiers

PMID30926429
PMCPMC7614536
OpenAlexW2923150442

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.