Summary of Study ST001618
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 PR001038. The data can be accessed directly via it's Project DOI: 10.21228/M8HX30 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 | ST001618 |
Study Title | Metabolomics Analysis: Opioid Addiction Project (Golestan Cohort Study) - MS (part-I) |
Study Type | Untargeted LC-MS Metabolomics Study |
Study Summary | Drug addiction is a major threat to the public health in the US and many other countries. Opioid abuse is associated with increased risks for cancer, psychological complications, heart and lung disease, and infections of the liver and blood. Because metabolites are intrinsically involved in multiple metabolic pathways in vivo, the relative quantification of metabolites in body fluids (for example urine) can provide a profile of the metabolic state of an organism. Metabolomics is a powerful technique for revealing the impact of exposure on the overall biochemistry of an individual or system. Opioids can modify the output of urinary metabolites through many integrated neural and hormonal mechanisms within the periphery, central nervous system, and kidneys. Opioids modulate the expression of genes involved in neuroplasticity through epigenetic and possibly RNA modifications, ultimately change the intracellular signaling cascades and dysfunction, and cause long-lasting changes in metabolome. The objective of this study is to identify how opium impacts metabolic pathways to provide markers of abuse, long-term opium addiction, the addiction molecular pathway, and unknown metabolites that are important to differentiation of the study phenotypes. To reach these goals in the present study, the urine specimens of opium abusers and non-users as controls will be profiled using an untargeted liquid chromatography mass spectrometric (LC-MS/MS) at University of North Carolina at Chapel Hill. The Golestan Cohort Study is conducted in Northeast of Iran to primarily study the risk factors for upper gastrointestinal cancers in this high-risk region, in which about 50,000 volunteers were analyzed for opium users and their mortality. More than 8,000 of participants (17%) age 40-75 reported opium use with a mean duration of 12.7 years. Opium was either smoked or orally consumed. The participants were selected from the cohort stratified by opium use patterns and tobacco use. |
Institute | University of North Carolina at Chapel Hill |
Department | Nutrition |
Last Name | Sumner |
First Name | Susan |
Address | 500 Laureate Way, Kannapolis, NC 28081 |
susan_sumner@unc.edu | |
Phone | 919-541-4456 |
Submit Date | 2020-12-01 |
Num Groups | 2 |
Total Subjects | 298 |
Raw Data Available | Yes |
Raw Data File Type(s) | raw(Thermo) |
Analysis Type Detail | LC-MS |
Release Date | 2022-05-02 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR001038 |
Project DOI: | doi: 10.21228/M8HX30 |
Project Title: | Metabolomics Analysis: Opioid Addiction Project |
Project Summary: | Drug addiction is a major threat to the public health in the US and many other countries. Opioid abuse is associated with increased risks for cancer, psychological complications, heart and lung disease, and infections of the liver and blood. Because metabolites are intrinsically involved in multiple metabolic pathways in vivo, the relative quantification of metabolites in body fluids (for example urine) can provide a profile of the metabolic state of an organism. Metabolomics is a powerful technique for revealing the impact of exposure on the overall biochemistry of an individual or system. Opioids can modify the output of urinary metabolites through many integrated neural and hormonal mechanisms within the periphery, central nervous system, and kidneys. Opioids modulate the expression of genes involved in neuroplasticity through epigenetic and possibly RNA modifications, ultimately change the intracellular signaling cascades and dysfunction, and cause long-lasting changes in metabolome. The objective of this study is to identify how opium impacts metabolic pathways to provide markers of abuse, long-term opium addiction, the addiction molecular pathway, and unknown metabolites that are important to differentiation of the study phenotypes. To reach these goals in the present study, the urine specimens of opium abusers and non-users as controls was profiled using an untargeted nuclear magnetic resonance spectroscopy (NMR) metabolomics, and a quantitative targeted liquid chromatography mass spectrometric (LC-MS/MS) at University of North Carolina at Chapel Hill. The Golestan Cohort Study is conducted in Northeast of Iran to primarily study the risk factors for upper gastrointestinal cancers in this high-risk region, in which about 50,000 volunteers were analyzed for opium users and their mortality. More than 8,000 of participants (17%) age 40-75 reported opium use with a mean duration of 12.7 years. Opium was either smoked or orally consumed. The participants were selected from the cohort stratified by opium use patterns and tobacco use. |
Institute: | University of North Carolina at Chapel Hill |
Laboratory: | UNC-NRI Sumner Lab |
Last Name: | Sumner |
First Name: | Susan |
Address: | 500 Laureate Way, Kannapolis, NC, 28081, USA |
Email: | susan_sumner@unc.edu |
Phone: | 919-622-4456 |
Publications: | 1. Untargeted Metabolomics: Biochemical Perturbations in Golestan Cohort Study Opium Users Inform Intervention Strategies: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7783045/ 2. Metabolomics reveals biomarkers of opioid use disorder: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862627/ |
Subject:
Subject ID: | SU001695 |
Subject Type: | Human |
Subject Species: | Homo sapiens |
Taxonomy ID: | 9606 |
Age Or Age Range: | 40-75 |
Gender: | Male and female |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
mb_sample_id | local_sample_id | Phenotype |
---|---|---|
SA137238 | U_175 | Non-User |
SA137239 | U_203 | Non-User |
SA137240 | U_204 | Non-User |
SA137241 | U_17 | Non-User |
SA137242 | U_168 | Non-User |
SA137243 | U_166 | Non-User |
SA137244 | U_167 | Non-User |
SA137245 | U_21 | Non-User |
SA137246 | U_169 | Non-User |
SA137247 | U_211 | Non-User |
SA137248 | U_230 | Non-User |
SA137249 | U_234 | Non-User |
SA137250 | U_235 | Non-User |
SA137251 | U_228 | Non-User |
SA137252 | U_221 | Non-User |
SA137253 | U_165 | Non-User |
SA137254 | U_217 | Non-User |
SA137255 | U_220 | Non-User |
SA137256 | U_210 | Non-User |
SA137257 | U_156 | Non-User |
SA137258 | U_130 | Non-User |
SA137259 | U_131 | Non-User |
SA137260 | U_132 | Non-User |
SA137261 | U_13 | Non-User |
SA137262 | U_113 | Non-User |
SA137263 | U_101 | Non-User |
SA137264 | U_103 | Non-User |
SA137265 | U_106 | Non-User |
SA137266 | U_138 | Non-User |
SA137267 | U_14 | Non-User |
SA137268 | U_152 | Non-User |
SA137269 | U_153 | Non-User |
SA137270 | U_239 | Non-User |
SA137271 | U_151 | Non-User |
SA137272 | U_147 | Non-User |
SA137273 | U_140 | Non-User |
SA137274 | U_145 | Non-User |
SA137275 | U_146 | Non-User |
SA137276 | U_16 | Non-User |
SA137277 | U_257 | Non-User |
SA137278 | U_64 | Non-User |
SA137279 | U_71 | Non-User |
SA137280 | U_8 | Non-User |
SA137281 | U_62 | Non-User |
SA137282 | U_59 | Non-User |
SA137283 | U_45 | Non-User |
SA137284 | U_51 | Non-User |
SA137285 | U_57 | Non-User |
SA137286 | U_80 | Non-User |
SA137287 | U_83 | Non-User |
SA137288 | U_89 | Non-User |
SA137289 | U_93 | Non-User |
SA137290 | U_94 | Non-User |
SA137291 | U_88 | Non-User |
SA137292 | U_87 | Non-User |
SA137293 | U_84 | Non-User |
SA137294 | U_85 | Non-User |
SA137295 | U_86 | Non-User |
SA137296 | U_43 | Non-User |
SA137297 | U_39 | Non-User |
SA137298 | U_282 | Non-User |
SA137299 | U_285 | Non-User |
SA137300 | U_295 | Non-User |
SA137301 | U_279 | Non-User |
SA137302 | U_278 | Non-User |
SA137303 | U_10 | Non-User |
SA137304 | U_268 | Non-User |
SA137305 | U_273 | Non-User |
SA137306 | U_296 | Non-User |
SA137307 | U_304 | Non-User |
SA137308 | U_318 | Non-User |
SA137309 | U_324 | Non-User |
SA137310 | U_325 | Non-User |
SA137311 | U_316 | Non-User |
SA137312 | U_314 | Non-User |
SA137313 | U_309 | Non-User |
SA137314 | U_310 | Non-User |
SA137315 | U_311 | Non-User |
SA137316 | U_25 | Non-User |
SA137317 | U_293 | Non-User |
SA137318 | SP_27 | Study_Pools |
SA137319 | SP_28 | Study_Pools |
SA137320 | SP_29 | Study_Pools |
SA137321 | SP_26 | Study_Pools |
SA137322 | SP_25 | Study_Pools |
SA137323 | SP_23_2 | Study_Pools |
SA137324 | SP_23_3 | Study_Pools |
SA137325 | SP_24 | Study_Pools |
SA137326 | SP_30 | Study_Pools |
SA137327 | SP_31 | Study_Pools |
SA137328 | SP_7 | Study_Pools |
SA137329 | SP_8 | Study_Pools |
SA137330 | SP_9 | Study_Pools |
SA137331 | SP_6 | Study_Pools |
SA137332 | SP_5 | Study_Pools |
SA137333 | SP_32 | Study_Pools |
SA137334 | SP_33 | Study_Pools |
SA137335 | SP_4 | Study_Pools |
SA137336 | SP_23_1 | Study_Pools |
SA137337 | SP_3 | Study_Pools |
Collection:
Collection ID: | CO001688 |
Collection Summary: | Non-fasted urine sample; spot urine. |
Sample Type: | Urine |
Storage Conditions: | -80℃ |
Treatment:
Treatment ID: | TR001708 |
Treatment Summary: | N/A |
Sample Preparation:
Sampleprep ID: | SP001701 |
Sampleprep Summary: | Urine samples were allowed to thaw at 4 °C overnight. All samples were vortexed via multiple tube vortex for 2 min at 3000 rpm. The urine were spin downed using centrifuge at 1000 rpm for 30 sec. A volume of 7 µL aliquot of all 298 samples were transferred into one 10.0 mL tube labeled as pooled. A volume of 50 µL of urine (including study pool) was transferred to a new, pre-labeled Lo-Bind Eppendorf tube. A volume of 400 µL Protein Precipitation Buffer with Internal Standard (500 ng/ml Tryptophan-d5 in methanol) was added to each tube. All individual samples were thoroughly mixed on multiple tube vortexer for 2 mins at 5000 rpm. The protein precipitate was palleted using a centrifuge operating at room temperature and at 16,000 rcf for 4 min. A volume of 350 µl of the supernatant was transferred into pre-labeled 2.0 ml Low-bind Eppendorf tube. Sample were dried using speed vac overnight. A volume of 100 µL of reconstitution buffer (95:5 Water-Methanol) was added to each sample. Samples were thoroughly mixed on multiple tube vortexer for 10 mins at 5000 rpm. Samples were centrifuged at 4°C and at 16,000 rcf for 10 min. The supernatant was transferred to pre-labeled autosampler vials. A volume of 5 µL was injected onto column. |
Processing Storage Conditions: | On ice |
Extract Storage: | Described in summary |
Combined analysis:
Analysis ID | AN002653 |
---|---|
Analysis type | MS |
Chromatography type | Reversed phase |
Chromatography system | Thermo Scientific™ Vanquish™ UPHPLC |
Column | Waters ACQUITY UPLC HSS T3 (100 x 2.1mm,3um) |
MS Type | ESI |
MS instrument type | Orbitrap |
MS instrument name | Thermo Q Exactive HF hybrid Orbitrap |
Ion Mode | POSITIVE |
Units | Peak area |
Chromatography:
Chromatography ID: | CH001957 |
Instrument Name: | Thermo Scientific™ Vanquish™ UPHPLC |
Column Name: | Waters ACQUITY UPLC HSS T3 (100 x 2.1mm,3um) |
Column Pressure: | 6000-10000 |
Column Temperature: | 50 |
Flow Gradient: | Time(min) Flow Rate %A %B Curve 1. 0 0.4 99.0 1.0 5 2. 1.00 0.4 99.0 1.0 5 3. 16.00 0.4 1.0 99.0 5 4. 19.00 0.4 1.0 99.0 5 5. 19.50 0.4 99.0 1.0 5 |
Flow Rate: | 0.4 ml/min |
Injection Temperature: | 8 |
Solvent A: | 100% water; 0.1% formic acid |
Solvent B: | 100% methanol; 0.1% formic acid |
Chromatography Type: | Reversed phase |
MS:
MS ID: | MS002461 |
Analysis ID: | AN002653 |
Instrument Name: | Thermo Q Exactive HF hybrid Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Instrument: Thermo Q Exactive HFx Software: Progenesis QI 2.0 |
Ion Mode: | POSITIVE |
Capillary Temperature: | 275 °C |
Capillary Voltage: | 3.5 KV |
Collision Energy: | 10-35, ramp |
Collision Gas: | N2 |
Dry Gas Flow: | 45 |
Dry Gas Temp: | 325°C |
Fragmentation Method: | CID |
Desolvation Gas Flow: | 45 |