Summary of Study ST001619
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
Study ID | ST001619 |
Study Title | Metabolomics Analysis: Opioid Addiction Project (Golestan Cohort Study) - NMR (part-II) |
Study Type | Untargeted NMR Metabolomics Analysis |
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 was profiled using an untargeted nuclear magnetic resonance spectroscopy (NMR) metabolomics platform 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 |
Laboratory | UNC-NRI Sumner Lab |
Last Name | Sumner |
First Name | Susan |
Address | 500 Laureate Way, Kannapolis, NC, 28081, USA |
susan_sumner@unc.edu | |
Phone | 919-622-4456 |
Submit Date | 2020-12-01 |
Num Groups | 2 |
Total Subjects | 298 |
Raw Data Available | Yes |
Raw Data File Type(s) | fid |
Analysis Type Detail | NMR |
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: | SU001696 |
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 |
---|---|---|
SA137574 | U_130 | Non-Opium User |
SA137575 | U_13 | Non-Opium User |
SA137576 | U_203 | Non-Opium User |
SA137577 | U_131 | Non-Opium User |
SA137578 | U_318 | Non-Opium User |
SA137579 | U_132 | Non-Opium User |
SA137580 | U_314 | Non-Opium User |
SA137581 | U_138 | Non-Opium User |
SA137582 | U_316 | Non-Opium User |
SA137583 | U_204 | Non-Opium User |
SA137584 | U_324 | Non-Opium User |
SA137585 | U_43 | Non-Opium User |
SA137586 | U_113 | Non-Opium User |
SA137587 | U_282 | Non-Opium User |
SA137588 | U_211 | Non-Opium User |
SA137589 | U_210 | Non-Opium User |
SA137590 | U_325 | Non-Opium User |
SA137591 | U_285 | Non-Opium User |
SA137592 | U_21 | Non-Opium User |
SA137593 | U_14 | Non-Opium User |
SA137594 | U_140 | Non-Opium User |
SA137595 | U_17 | Non-Opium User |
SA137596 | U_156 | Non-Opium User |
SA137597 | U_309 | Non-Opium User |
SA137598 | U_16 | Non-Opium User |
SA137599 | U_169 | Non-Opium User |
SA137600 | U_167 | Non-Opium User |
SA137601 | U_166 | Non-Opium User |
SA137602 | U_165 | Non-Opium User |
SA137603 | U_153 | Non-Opium User |
SA137604 | U_152 | Non-Opium User |
SA137605 | U_145 | Non-Opium User |
SA137606 | U_51 | Non-Opium User |
SA137607 | U_175 | Non-Opium User |
SA137608 | U_146 | Non-Opium User |
SA137609 | U_147 | Non-Opium User |
SA137610 | U_151 | Non-Opium User |
SA137611 | U_310 | Non-Opium User |
SA137612 | U_311 | Non-Opium User |
SA137613 | U_304 | Non-Opium User |
SA137614 | U_106 | Non-Opium User |
SA137615 | U_84 | Non-Opium User |
SA137616 | U_85 | Non-Opium User |
SA137617 | U_86 | Non-Opium User |
SA137618 | U_87 | Non-Opium User |
SA137619 | U_83 | Non-Opium User |
SA137620 | U_295 | Non-Opium User |
SA137621 | U_8 | Non-Opium User |
SA137622 | U_80 | Non-Opium User |
SA137623 | U_235 | Non-Opium User |
SA137624 | U_88 | Non-Opium User |
SA137625 | U_89 | Non-Opium User |
SA137626 | U_94 | Non-Opium User |
SA137627 | U_268 | Non-Opium User |
SA137628 | U_45 | Non-Opium User |
SA137629 | U_93 | Non-Opium User |
SA137630 | U_257 | Non-Opium User |
SA137631 | U_239 | Non-Opium User |
SA137632 | U_25 | Non-Opium User |
SA137633 | U_296 | Non-Opium User |
SA137634 | U_234 | Non-Opium User |
SA137635 | U_71 | Non-Opium User |
SA137636 | U_278 | Non-Opium User |
SA137637 | U_293 | Non-Opium User |
SA137638 | U_220 | Non-Opium User |
SA137639 | U_279 | Non-Opium User |
SA137640 | U_10 | Non-Opium User |
SA137641 | U_168 | Non-Opium User |
SA137642 | U_103 | Non-Opium User |
SA137643 | U_101 | Non-Opium User |
SA137644 | U_57 | Non-Opium User |
SA137645 | U_39 | Non-Opium User |
SA137646 | U_64 | Non-Opium User |
SA137647 | U_273 | Non-Opium User |
SA137648 | U_230 | Non-Opium User |
SA137649 | U_228 | Non-Opium User |
SA137650 | U_62 | Non-Opium User |
SA137651 | U_221 | Non-Opium User |
SA137652 | U_217 | Non-Opium User |
SA137653 | U_59 | Non-Opium User |
SA137654 | U_429 | Opium User |
SA137655 | U_436 | Opium User |
SA137656 | U_442 | Opium User |
SA137657 | U_445 | Opium User |
SA137658 | U_447 | Opium User |
SA137659 | U_441 | Opium User |
SA137660 | U_44 | Opium User |
SA137661 | U_431 | Opium User |
SA137662 | U_432 | Opium User |
SA137663 | U_428 | Opium User |
SA137664 | U_430 | Opium User |
SA137665 | U_411 | Opium User |
SA137666 | U_384 | Opium User |
SA137667 | U_380 | Opium User |
SA137668 | U_38 | Opium User |
SA137669 | U_387 | Opium User |
SA137670 | U_388 | Opium User |
SA137671 | U_397 | Opium User |
SA137672 | U_396 | Opium User |
SA137673 | U_391 | Opium User |
Collection:
Collection ID: | CO001689 |
Collection Summary: | Non-fasted urine samples |
Sample Type: | Urine |
Storage Conditions: | -80℃ |
Treatment:
Treatment ID: | TR001709 |
Treatment Summary: | NA |
Sample Preparation:
Sampleprep ID: | SP001702 |
Sampleprep Summary: | Aliquots of each de-identified sample were shipped to the NIH ERCMRC on dry ice and immediately stored at -80 °C after being logged in for metabolomics analysis. A total of 298 study urine samples were thawed at 4°C overnight. Aliquots of 400 µL of study samples were transferred to 2.0mL pre-labeled LoBind Eppendorf tubes. Aliquots of 400 µL of analytical quality control (QC) external pooled urine samples were also transferred to 2.0mL pre-labeled LoBind Eppendorf tubes. All samples were mixed with 300uL of NMR Master Mix solution containing Chenomx ISTD: DSS-d6 and Phosphate Buffer at 7.4 pH in D2O. The tubes were vortexed for 5 min on a multi-tube vortexer and centrifuged at 16,000 rcf for 10 min. A 600uL aliquot of supernatants were transferred into a pre-labeled 5mm 4 NMR tubes for data acquisition on a 700 MHz spectrometer. |
Processing Storage Conditions: | On ice |
Extract Storage: | Described in summary |
Analysis:
Analysis ID: | AN002654 |
Laboratory Name: | ERCMRC |
Analysis Type: | NMR |
Acquisition Date: | March 14 to 20, 2018 |
Software Version: | TopSpin 3.5 |
Operator Name: | Kevin Knagge |
Detector Type: | NMR |
Data Format: | fid, 1r |
Rt Units: | No RT data |
Units: | ppm |
NMR:
NMR ID: | NM000190 |
Analysis ID: | AN002654 |
Instrument Name: | Avance III 700 MHz NMR Spectrometer |
Instrument Type: | FT-NMR |
NMR Experiment Type: | 1D-1H |
Field Frequency Lock: | 3015 Hz, D2O |
Standard Concentration: | 0.5 mM |
Spectrometer Frequency: | 700 MHz |
NMR Probe: | CP QCI/HPCN |
NMR Solvent: | 90% H2O, 10% D2O |
NMR Tube Size: | 5 mm |
Shimming Method: | topshim |
Pulse Sequence: | noesygppr1d |
Water Suppression: | pre-saturation |
Pulse Width: | 14 microseconds |
Power Level: | 12.3 Watts |
Receiver Gain: | 36 |
Offset Frequency: | 3289.61 Hz |
Presaturation Power Level: | 0.0000964 Watts |
Chemical Shift Ref Cpd: | DSS |
Temperature: | 25 C |
Number Of Scans: | 32 |
Dummy Scans: | 4 |
Acquisition Time: | 3.9 seconds |
Relaxation Delay: | 2 seconds |
Spectral Width: | 12 ppm |
Num Data Points Acquired: | 65536 |
Real Data Points: | 32768 |
Line Broadening: | 0.5 Hz |
Zero Filling: | none |
Apodization: | Lorentzian |
Baseline Correction Method: | Polynomial |
Chemical Shift Ref Std: | DSS |
Binned Increment: | 0.04ppm |
Binned Data Excluded Range: | 4.69-4.90ppm (water), 5.50-6.00ppm (urea) |