Summary of Study ST000877

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000608. The data can be accessed directly via it's Project DOI: 10.21228/M83105 This work is supported by NIH grant, U2C- DK119886.

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This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST000877
Study TitleMicronutrient deficiencies, environmental exposures and severe malaria: Risk factors for adverse neurodevelopmental outcomes in Ugandan children
Study TypeUntargeted high-resolution mass spectrometry profiling
Study SummaryMicronutrient deficiencies and environmental exposures have been to known to adversely impact brain and nervous system functions in adults and children worldwide. However, few studies have examined the short and long-term impact of these risk factors on neurodevelopmental outcomes in children in low-income countries, where the effects are likely to be more pronounced due to limited resources for monitoring and insufficient regulations. Biological risk factors of relevance include micronutrient deficiencies such as zinc and exposure to heavy metals such as lead and mercury. Studies have suggested an association between neurodevelopmental impairment and micronutrient deficiency as well as exposure to a number of heavy metals and environmental toxins. Moreover, findings also suggest that risk factors for adverse developmental outcomes that are independently significant may have the potential for causing cumulative increases in adverse effects. In Sub-Saharan Africa, severe malaria is a leading risk factor for long-term neurocognitive impairment in children. Zinc deficiency or exposure to heavy metals could influence risk of severe malaria, modify the risk of neurocognitive impairment in children with severe malaria, or independently affect risk of neurocognitive impairment. Untargeted analyses for potential environmental exposures or metabolomic changes in children with cerebral malaria vs. without cognitive impairment or in children with higher vs. lower cognitive scores, could also identify new risk factors for neurodevelopmental impairment in Ugandan children with cerebral malaria.In our completed study in Kampala, we assessed neurologic and developmental impairment in children with cerebral malaria [CM] or severe malarial anemia [SMA], as compared to health community children from the same extended household as the children with CM or SMA. As an extension of this study, we are interested in determining levels of micronutrients such as zinc in the population, and in addition, determining exposure levels of heavy metals (lead, mercury, copper, manganese etc.) in samples collected from children with severe malaria and community controls. The primary hypotheses of this study is that nutrient deficiencies or exposure to heavy metals influence short and long term neurocognitive outcomes in healthy community children and in children with severe malaria, and that children with cerebral malaria have specific metabolomic changes that relate to long-term neurocognitive impairment. The specific aims of our study are:Aim 1: To determine levels of zinc, heavy metals, and biomarkers associated with inflammation in children presenting with different forms of severe malaria (SM) and in healthy community children (CC). The working hypothesis of this aim is that 1) children with SM will have lower zinc levels compared to CC; 2) children with SM will present with higher toxic metal exposure and higher levels of biomarkers associated with inflammation than CC.Aim 2: To investigate how micronutrient deficiency, toxic metal exposure and inflammatory biomarkers affect short and long term neurodevelopmental outcomes and growth in children with severe malaria and community children (CC).The working hypothesis of this aim is that the lower levels of zinc, and presence of toxic metals in high concentrations will independently contribute to worsening neurodevelopmental outcomes and worsening growth over time in children with severe malaria and in community children. An alternate hypothesis is that micronutrient deficiency, toxic metal exposure and inflammatory states may interact with each other and with severe malaria to produce greater neurodevelopmental impairment, i.e., that the contribution is not independent but interactive.Aim 3: To determine whether the CSF metabolome differs according to level of neurodevelopmental impairment in children with cerebral malaria. The working hypothesis of this aim is that neurodevelopmental impairment in children with cerebral malaria is associated with changes in the CSF metabolome.
Institute
Emory University
DepartmentSchool of Medicine, Division of Pulmonary, Allergy, Critical Care Medicine
LaboratoryClincal Biomarkers Laboratory
Last NameWalker
First NameDouglas
Address615 Michael St. Ste 225, Atlanta, GA, 30322, USA
Emaildouglas.walker@emory.edu
Phone(404) 727 5984
Submit Date2017-09-27
Total Subjects141
Study CommentsCSF pools from elderly individuals included for QA/QC. Study specific pools were not created due to limited sample volumes provided (<100uL).
Raw Data AvailableYes
Raw Data File Type(s)raw(Thermo)
Chear StudyYes
Analysis Type DetailLC-MS
Release Date2021-08-31
Release Version1
Douglas Walker Douglas Walker
https://dx.doi.org/10.21228/M83105
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Sample Preparation:

Sampleprep ID:SP000918
Sampleprep Summary:Samples were prepared for metabolomics analysis using established methods (Johnson et al. (2010). Analyst; Go et al. (2015). Tox Sci). Prior to analysis, urine aliquots were removed from storage at -80°C and thawed on ice. Each cryotube was then vortexed briefly to ensure homogeneity, and 50 μL was transferred to a clean microfuge tube. Immediately after, the urine was treated with 100 μL of ice-cold LC-MS grade acetonitrile (Sigma Aldrich) containing 2.5 μL of internal standard solution with eight stable isotopic chemicals selected to cover a range of chemical properties. Following addition of acetonitrile, urine was equilibrated for 30 min on ice, upon which precipitated proteins were removed by centrifuge (16.1 ×g at 4°C for 10 min). The resulting supernatant (100 μL) was removed, added to a low volume autosampler vial and maintained at 4°C until analysis (<22 h).
Sampleprep Protocol ID:HRM_SP_082016_01
Sampleprep Protocol Filename:EmoryUniversity_HRM_SP_082016_01.pdf
Sampleprep Protocol Comments:Date effective: 30 July 2016
Extraction Method:2:1 acetonitrile: sample followed by vortexing and centrifugation
Sample Spiking:2.5 uL [13C6]-D-glucose, [15N,13C5]-L-methionine, [13C5]-L-glutamic acid, [15N]-L-tyrosine, [3,3-13C2]-cystine, [trimethyl-13C3]-caffeine, [U-13C5, U-15N2]-L-glutamine, [15N]-indole
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