Summary of Study ST001325
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 PR000902. The data can be accessed directly via it's Project DOI: 10.21228/M83D67 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 | ST001325 |
| Study Title | Obesity and Poor Diet as Susceptibility Factors for Secondhand Smoke in Childhood Asthma |
| Study Type | MS analysis |
| Study Summary | Aim 1: To investigate the effect of SHS exposure on asthma morbidity, systemic inflammation and oxidative stress among inner-city children with asthma. Hypotheses 1.Increasing SHS exposure will be associated with increases in asthma morbidity, systemic inflammation and oxidative stress. Aim 2: To determine if being overweight/obese modifies the effect of SHS exposure on respiratory symptoms, inflammation and oxidative stress responses among inner-city children with asthma.Hypothesis 2. SHS exposure will be associated with a worsened asthma and increases in systemic inflammation and oxidative stress among overweight/obese children compared to normal weight children. Aim 3: To determine if diet quality modifies the effect of SHS exposure on respiratory symptoms, inflammation and oxidative stress responses among inner-city children with asthma. Hypothesis 3. SHS smoke exposure will associated with worsened respiratory symptoms and increases in inflammation and oxidative stress among children with poor quality diet compared those with better quality diet inner-city children with asthma. (Diet will be assessed by dietary inflammatory index, healthy eating index, and additional serum markers proposed in this application). |
| Institute | University of Michigan |
| Department | Biomedical Research Core Facilities |
| Laboratory | Metabolomics core |
| Last Name | Kachman |
| First Name | Maureen |
| Address | Ann Arbor, MI |
| mkachman@med.umich.edu | |
| Phone | 734-232-0842 |
| Submit Date | 2020-02-26 |
| Total Subjects | 185 |
| Study Comments | Low-income minority children in urban areas often inhabit an environment that has excessive pollution and these children are at risk for obesity and poor diet. Secondhand smoke (SHS) is a common exposure in homes of children in Baltimore City and approximately 50-80% of households have a smoker. Secondhand smoke has been associated with worse asthma outcomes. We hypothesize that secondhand smoke exposure will be associated with increases in asthma morbidity and increases in systemic markers of inflammation and oxidative stress and that these responses will be exaggerated among overweight and obese children compared with normal weight and among those with poor diets compared to better diets among children with asthma. |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d |
| Chear Study | Yes |
| Analysis Type Detail | LC-MS |
| Release Date | 2022-08-02 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample type | Gender |
|---|---|---|---|
| SA096253 | CS000QCMP-1-02 | batch pool | - |
| SA096254 | CS000QCMP-1-03 | batch pool | - |
| SA096255 | CS000QCMP-1-04 | batch pool | - |
| SA096256 | CS000QCMP-3-06 | batch pool | - |
| SA096257 | CS000QCMP-1-01 | batch pool | - |
| SA096258 | CS000QCMP-3-04 | batch pool | - |
| SA096259 | CS000QCMP-3-05 | batch pool | - |
| SA096260 | CS000QCMP-3-03 | batch pool | - |
| SA096261 | CS000QCMP-1-10 | batch pool | - |
| SA096262 | CS000QCMP-1-11 | batch pool | - |
| SA096263 | CS000QCMP-3-07 | batch pool | - |
| SA096264 | CS000QCMP-2-01 | batch pool | - |
| SA096265 | CS000QCMP-1-09 | batch pool | - |
| SA096266 | CS000QCMP-1-08 | batch pool | - |
| SA096267 | CS000QCMP-1-06 | batch pool | - |
| SA096268 | CS000QCMP-1-07 | batch pool | - |
| SA096269 | CS000QCMP-1-05 | batch pool | - |
| SA096270 | CS000QCMP-2-11 | batch pool | - |
| SA096271 | CS000QCMP-2-10 | batch pool | - |
| SA096272 | CS000QCMP-2-09 | batch pool | - |
| SA096273 | CS000QCMP-2-08 | batch pool | - |
| SA096274 | CS000QCMP-2-02 | batch pool | - |
| SA096275 | CS000QCMP-2-12 | batch pool | - |
| SA096276 | CS000QCMP-3-02 | batch pool | - |
| SA096277 | CS000QCMP-3-01 | batch pool | - |
| SA096278 | CS000QCMP-2-07 | batch pool | - |
| SA096279 | CS000QCMP-2-06 | batch pool | - |
| SA096280 | CS000QCMP-3-11 | batch pool | - |
| SA096281 | CS000QCMP-3-10 | batch pool | - |
| SA096282 | CS000QCMP-3-09 | batch pool | - |
| SA096283 | CS000QCMP-3-12 | batch pool | - |
| SA096284 | CS000QCMP-2-03 | batch pool | - |
| SA096285 | CS000QCMP-2-05 | batch pool | - |
| SA096286 | CS000QCMP-2-04 | batch pool | - |
| SA096287 | CS000QCMP-3-08 | batch pool | - |
| SA096288 | R00CHRPL1-2-01 | chear plasma | - |
| SA096289 | R00CHRPL1-3-01 | chear plasma | - |
| SA096290 | R00CHRPL1-3-02 | chear plasma | - |
| SA096291 | R00CHRPL1-3-03 | chear plasma | - |
| SA096292 | R00CHRPL1-3-04 | chear plasma | - |
| SA096293 | R00CHRPL1-2-04 | chear plasma | - |
| SA096294 | R00CHRPL1-2-03 | chear plasma | - |
| SA096295 | R00CHRPL1-1-02 | chear plasma | - |
| SA096296 | R00CHRPL1-1-03 | chear plasma | - |
| SA096297 | R00CHRPL1-1-04 | chear plasma | - |
| SA096298 | R00CHRPL1-2-02 | chear plasma | - |
| SA096299 | R00CHRPL1-1-01 | chear plasma | - |
| SA096300 | CS00000MP-2-02 | master pool | - |
| SA096301 | CS00000MP-2-04 | master pool | - |
| SA096302 | CS00000MP-3-01 | master pool | - |
| SA096303 | CS00000MP-3-02 | master pool | - |
| SA096304 | CS00000MP-3-03 | master pool | - |
| SA096305 | CS00000MP-2-03 | master pool | - |
| SA096306 | CS00000MP-2-01 | master pool | - |
| SA096307 | CS00000MP-1-01 | master pool | - |
| SA096308 | CS00000MP-1-02 | master pool | - |
| SA096309 | CS00000MP-1-03 | master pool | - |
| SA096310 | CS00000MP-1-04 | master pool | - |
| SA096311 | CS00000MP-3-04 | master pool | - |
| SA096312 | CS00000RC-1-01 | red cross plasma | - |
| SA096313 | CS00000RC-2-04 | red cross plasma | - |
| SA096314 | CS00000RC-3-01 | red cross plasma | - |
| SA096315 | CS00000RC-3-02 | red cross plasma | - |
| SA096316 | CS00000RC-3-03 | red cross plasma | - |
| SA096317 | CS00000RC-2-03 | red cross plasma | - |
| SA096318 | CS00000RC-2-02 | red cross plasma | - |
| SA096319 | CS00000RC-1-02 | red cross plasma | - |
| SA096320 | CS00000RC-1-03 | red cross plasma | - |
| SA096321 | CS00000RC-1-04 | red cross plasma | - |
| SA096322 | CS00000RC-2-01 | red cross plasma | - |
| SA096323 | CS00000RC-3-04 | red cross plasma | - |
| SA096068 | S00041802 | Sample | female |
| SA096069 | S00041895 | Sample | female |
| SA096070 | S00041801 | Sample | female |
| SA096071 | S00041800 | Sample | female |
| SA096072 | S00041804 | Sample | female |
| SA096073 | S00041806 | Sample | female |
| SA096074 | S00041893 | Sample | female |
| SA096075 | S00041808 | Sample | female |
| SA096076 | S00041894 | Sample | female |
| SA096077 | S00041843 | Sample | female |
| SA096078 | S00041805 | Sample | female |
| SA096079 | S00041797 | Sample | female |
| SA096080 | S00041847 | Sample | female |
| SA096081 | S00041789 | Sample | female |
| SA096082 | S00041788 | Sample | female |
| SA096083 | S00041787 | Sample | female |
| SA096084 | S00041792 | Sample | female |
| SA096085 | S00041793 | Sample | female |
| SA096086 | S00041810 | Sample | female |
| SA096087 | S00041845 | Sample | female |
| SA096088 | S00041795 | Sample | female |
| SA096089 | S00041846 | Sample | female |
| SA096090 | S00041872 | Sample | female |
| SA096091 | S00041892 | Sample | female |
| SA096092 | S00041838 | Sample | female |
| SA096093 | S00041873 | Sample | female |
| SA096094 | S00041884 | Sample | female |
| SA096095 | S00041840 | Sample | female |
| SA096096 | S00041880 | Sample | female |
