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.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
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.
| Study ID | ST000877 |
| Study Title | Micronutrient deficiencies, environmental exposures and severe malaria: Risk factors for adverse neurodevelopmental outcomes in Ugandan children |
| Study Type | Untargeted high-resolution mass spectrometry profiling |
| Study Summary | Micronutrient 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 |
| Department | School of Medicine, Division of Pulmonary, Allergy, Critical Care Medicine |
| Laboratory | Clincal Biomarkers Laboratory |
| Last Name | Walker |
| First Name | Douglas |
| Address | 615 Michael St. Ste 225, Atlanta, GA, 30322, USA |
| douglas.walker@emory.edu | |
| Phone | (404) 727 5984 |
| Submit Date | 2017-09-27 |
| Total Subjects | 141 |
| Study Comments | CSF pools from elderly individuals included for QA/QC. Study specific pools were not created due to limited sample volumes provided (<100uL). |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Chear Study | Yes |
| Analysis Type Detail | LC-MS |
| Release Date | 2021-08-31 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Factors:
Subject type: Cerebrospinal Fluid; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample Type |
|---|---|---|
| SA050837 | chearplasma_2c | CHEAR Plasma |
| SA050838 | chearplasma_3a | CHEAR Plasma |
| SA050839 | chearplasma_2b | CHEAR Plasma |
| SA050840 | chearplasma_2a | CHEAR Plasma |
| SA050841 | chearplasma_1d | CHEAR Plasma |
| SA050842 | chearplasma_3b | CHEAR Plasma |
| SA050843 | chearplasma_3d | CHEAR Plasma |
| SA050844 | chearplasma_4c | CHEAR Plasma |
| SA050845 | chearplasma_4d | CHEAR Plasma |
| SA050846 | chearplasma_4b | CHEAR Plasma |
| SA050847 | chearplasma_4a | CHEAR Plasma |
| SA050848 | chearplasma_1c | CHEAR Plasma |
| SA050849 | chearplasma_3c | CHEAR Plasma |
| SA050850 | chearplasma_2d | CHEAR Plasma |
| SA050851 | chearplasma_1a | CHEAR Plasma |
| SA050852 | chearplasma_1b | CHEAR Plasma |
| SA050853 | csfpool_4d | CSF Pool |
| SA050854 | csfpool_4c | CSF Pool |
| SA050855 | csfpool_2e | CSF Pool |
| SA050856 | csfpool_4a | CSF Pool |
| SA050857 | csfpool_3c | CSF Pool |
| SA050858 | csfpool_2f | CSF Pool |
| SA050859 | csfpool_1e | CSF Pool |
| SA050860 | csfpool_2a | CSF Pool |
| SA050861 | csfpool_2b | CSF Pool |
| SA050862 | csfpool_1f | CSF Pool |
| SA050863 | csfpool_1a | CSF Pool |
| SA050864 | csfpool_3d | CSF Pool |
| SA050865 | csfpool_4b | CSF Pool |
| SA050866 | csfpool_2c | CSF Pool |
| SA050867 | csfpool_1b | CSF Pool |
| SA050868 | csfpool_3f | CSF Pool |
| SA050869 | csfpool_3e | CSF Pool |
| SA050870 | csfpool_4f | CSF Pool |
| SA050871 | csfpool_4e | CSF Pool |
| SA050872 | csfpool_1d | CSF Pool |
| SA050873 | csfpool_1c | CSF Pool |
| SA050874 | csfpool_3b | CSF Pool |
| SA050875 | csfpool_3a | CSF Pool |
| SA050876 | csfpool_2d | CSF Pool |
| SA050877 | C-XBVS6-CF-00 | CSF Study Sample |
| SA050878 | C-XBXF3-CF-00 | CSF Study Sample |
| SA050879 | C-XCU28-CF-00 | CSF Study Sample |
| SA050880 | C-X7R50-CF-00 | CSF Study Sample |
| SA050881 | C-XB7F6-CF-00 | CSF Study Sample |
| SA050882 | C-XA7K7-CF-00 | CSF Study Sample |
| SA050883 | C-XAKS9-CF-00 | CSF Study Sample |
| SA050884 | C-XA870-CF-00 | CSF Study Sample |
| SA050885 | C-X7WK7-CF-00 | CSF Study Sample |
| SA050886 | C-XLGH4-CF-00 | CSF Study Sample |
| SA050887 | C-XR6V7-CF-00 | CSF Study Sample |
| SA050888 | C-XR6R6-CF-00 | CSF Study Sample |
| SA050889 | C-XQQ05-CF-00 | CSF Study Sample |
| SA050890 | C-XS193-CF-00 | CSF Study Sample |
| SA050891 | C-XSRV6-CF-00 | CSF Study Sample |
| SA050892 | C-XUWS3-CF-00 | CSF Study Sample |
| SA050893 | C-XUJF5-CF-00 | CSF Study Sample |
| SA050894 | C-XTRX9-CF-00 | CSF Study Sample |
| SA050895 | C-XPYG9-CF-00 | CSF Study Sample |
| SA050896 | C-XP6C3-CF-00 | CSF Study Sample |
| SA050897 | C-XGTT5-CF-00 | CSF Study Sample |
| SA050898 | C-XEA72-CF-00 | CSF Study Sample |
| SA050899 | C-XDCN1-CF-00 | CSF Study Sample |
| SA050900 | C-XHD99-CF-00 | CSF Study Sample |
| SA050901 | C-XKRU6-CF-00 | CSF Study Sample |
| SA050902 | C-XM3V1-CF-00 | CSF Study Sample |
| SA050903 | C-XM0D3-CF-00 | CSF Study Sample |
| SA050904 | C-X7AU7-CF-00 | CSF Study Sample |
| SA050905 | C-XCVE5-CF-00 | CSF Study Sample |
| SA050906 | C-X70K6-CF-00 | CSF Study Sample |
| SA050907 | C-WXAL5-CF-00 | CSF Study Sample |
| SA050908 | C-WX0F5-CF-00 | CSF Study Sample |
| SA050909 | C-WWY21-CF-00 | CSF Study Sample |
| SA050910 | C-WXGE4-CF-00 | CSF Study Sample |
| SA050911 | C-WXJQ5-CF-00 | CSF Study Sample |
| SA050912 | C-X0LF4-CF-00 | CSF Study Sample |
| SA050913 | C-WYEH8-CF-00 | CSF Study Sample |
| SA050914 | C-WXNN7-CF-00 | CSF Study Sample |
| SA050915 | C-WW0Q4-CF-00 | CSF Study Sample |
| SA050916 | C-WV7M8-CF-00 | CSF Study Sample |
| SA050917 | C-WRW40-CF-00 | CSF Study Sample |
| SA050918 | C-WQZA0-CF-00 | CSF Study Sample |
| SA050919 | C-WPSW1-CF-00 | CSF Study Sample |
| SA050920 | C-WRZP5-CF-00 | CSF Study Sample |
| SA050921 | C-WSMA8-CF-00 | CSF Study Sample |
| SA050922 | C-WUS96-CF-00 | CSF Study Sample |
| SA050923 | C-WTKE9-CF-00 | CSF Study Sample |
| SA050924 | C-X0RN0-CF-00 | CSF Study Sample |
| SA050925 | C-X1BV7-CF-00 | CSF Study Sample |
| SA050926 | C-X6NS0-CF-00 | CSF Study Sample |
| SA050927 | C-X66K2-CF-00 | CSF Study Sample |
| SA050928 | C-X65W7-CF-00 | CSF Study Sample |
| SA050929 | C-X6UX2-CF-00 | CSF Study Sample |
| SA050930 | C-XUXR5-CF-00 | CSF Study Sample |
| SA050931 | C-Z6TH7-CF-00 | CSF Study Sample |
| SA050932 | C-Z9710-CF-00 | CSF Study Sample |
| SA050933 | C-X5XU8-CF-00 | CSF Study Sample |
| SA050934 | C-X5P15-CF-00 | CSF Study Sample |
| SA050935 | C-X2G11-CF-00 | CSF Study Sample |
| SA050936 | C-X2C64-CF-00 | CSF Study Sample |
