dc.contributor.author | McKeating, Daniel | |
dc.contributor.author | Bennett, William | |
dc.contributor.author | Vanerlelie, Jessica | |
dc.contributor.author | Perkins, Anthony | |
dc.date.accessioned | 2021-03-18T06:45:03Z | |
dc.date.available | 2021-03-18T06:45:03Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 0143-4004 | |
dc.identifier.uri | http://hdl.handle.net/10072/403277 | |
dc.description.abstract | Objectives: Aberrant micronutrient deficiencies are associated with arange of perinatal outcomes and concomitant with gestational disorderssuch as: gestational diabetes mellitus; preeclampsia; and an increased riskof foetal growth restriction, preterm birth and stillbirth. This project aimsto develop a comprehensive method to determine concentrations ofessential micronutrients in a single blood sample; ultimately describingthe individual’s micronutrient profile, and aiming to identify women atrisk of complications.
Methods: Inductively coupled plasma mass spectrometry (ICP-MS) wasused to simultaneous measure elements in samples of serum, plasmaand whole blood. For primary methodology optimisation, cord bloodsamples (n¼9) were collected from the Gold Coast UniversityHospital, Australia. Two ICP-MS sample preparation methodologies weretrialled: dilution with (1) 2% nitric acid (HNO3), and (2) a solution ofEDTA and Ammonia. Testing involved determining dilution factors,specificity, intra-assay variation and inter-assay variation on 69 ele-ments. For secondary determination of elements associated with preg-nancy complications, cord blood samples from the Environments forHealthy Living (EFHL) cohort (n¼160) were screened with the optimisedmethod.
Results: EDTA-based preparation was used due to significantly lowerintra- and inter-assay variation for sera, plasma, and whole blood samples.Furthermore, it had significantly higher specificity for the majority of el-ements, allowing for increased distinction between elemental concentra-tions (p<0.05). In the EFHL samples, 40 elements were able to be analysed,however 13 were excluded due to higher than 10% variation within trip-licates; 27 elements were determined to be highly reproducible (<10%variation) in this simultaneous analysis.
Conclusion: This study is thefirst to analyse 27 elements in pregnancysamples. Hallmark elements measured include: sodium, magnesium, po-tassium, calcium, manganese, iron, zinc, selenium, molybdenum, lead andiodine. The number of quantifiable micronutrients could provide immensestatistical power for analysis of gestational disorders, providing insightinto ways to minimise disease outcomes through supplemental micro-nutrition | |
dc.language | English | |
dc.publisher | Elsevier | |
dc.publisher.uri | https://www.sciencedirect.com/science/article/pii/S014340041830290X | |
dc.relation.ispartofconferencename | Meeting of the International-Federation-of-Placenta-Associations (IFPA) | |
dc.relation.ispartofconferencetitle | Placenta | |
dc.relation.ispartofdatefrom | 2018-09-21 | |
dc.relation.ispartofdateto | 2018-09-24 | |
dc.relation.ispartoflocation | Tokyo, Japan | |
dc.relation.ispartofpagefrom | E34 | |
dc.relation.ispartofpageto | E34 | |
dc.relation.ispartofvolume | 69 | |
dc.subject.fieldofresearch | Biochemistry and cell biology | |
dc.subject.fieldofresearch | Clinical sciences | |
dc.subject.fieldofresearch | Reproductive medicine | |
dc.subject.fieldofresearch | Midwifery | |
dc.subject.fieldofresearchcode | 3101 | |
dc.subject.fieldofresearchcode | 3202 | |
dc.subject.fieldofresearchcode | 3215 | |
dc.subject.fieldofresearchcode | 4204 | |
dc.subject.keywords | Science & Technology | |
dc.subject.keywords | Life Sciences & Biomedicine | |
dc.subject.keywords | Developmental Biology | |
dc.subject.keywords | Obstetrics & Gynecology | |
dc.subject.keywords | Reproductive Biology | |
dc.title | Elemental analysis for the determination of micronutrient status in biological samples: Applications for pregnancy research | |
dc.type | Conference output | |
dc.type.description | E3 - Conferences (Extract Paper) | |
dcterms.bibliographicCitation | McKeating, D; Bennett, W; Vanerlelie, J; Perkins, A, Elemental analysis for the determination of micronutrient status in biological samples: Applications for pregnancy research, Placenta, 2018, 69, pp. E34-E34 | |
dc.date.updated | 2021-03-18T06:41:58Z | |
gro.hasfulltext | No Full Text | |
gro.griffith.author | McKeating, Daniel R. | |
gro.griffith.author | Bennett, Will W. | |