Summary of Study ST003853

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 PR002410. The data can be accessed directly via it's Project DOI: 10.21228/M8425Q This work is supported by NIH grant, U2C- DK119886.

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Study IDST003853
Study TitleExploring Metabolomic Profiles in Vitamin D Deficient and Obese Individuals
Study TypeLC/MS/MS
Study SummaryCardiovascular diseases (CVDs) continue to pose a significant global health challenge, with vitamin D (Vit D) deficiency and obesity emerging as prominent risk factors. Arterial stiffness is recognized as a pivotal predictor and an independent risk element for CVDs. This study explores the metabolomic profiling of blood samples obtained from individuals afflicted with early arterial stiffness along with Vit D deficiency and obesity, compared with a healthy control group with normal Vit D and non-obese individuals. The study comprised nine participants with Vit D deficiency (Vit D level of 20 ng/ml or lower), and obese participants (BMI ≥ 30), along with eleven control participants (with Vit D levels above 20 ng/ml and normal BMI). Eleven metabolites exhibited statistically significant differences in patients with Vit D deficiency and obesity. Of these, eight metabolites demonstrated increased levels (FC > 2, p < 0.05), including Nutriacholic acid, N-Acetylputrescine, Succinylacetone, Adenosine monophosphate, Elaidic acid, Niacinamide, DUMP, and 2-Pyrrolidinone, while three metabolites exhibited decreased expression: PC (18:1(9Z)/18:1(9Z)), Trimethylamine, and Imidazole. The enrichment analysis revealed that top metabolic pathways predicted to be altered in the context of dysfunctional enzymes, encompassing processes such as nicotinamide acid uptake, fatty-acyl-CoA synthase (n-C18:0CoA), and extracellular NADP nucleosidase, among others. The ROC analysis showed that the blood metabolite concentrations can reliably differentiate with acceptable accuracy (AUC >0.8, p<0.05) between individuals at risk of arterial stiffness with Vit D deficiency and obesity from healthy controls showing the highest discriminator effect for DUMP and Niacinamide with AUC > 0.9 and p<0.00005. A combination metabolites model calculated with the linear SVM model achieved the highest performance of AUC=0.996 (95% CI: 0.97-1) and a predictive accuracy of 94.5% with the combination of seven metabolites. Integration of metabolomics and previous transcriptomics data identifies among the Vit D deficient and obese group disturbances in metabolic and regulatory pathways potentially related to vascular health such as inositol phosphate metabolism. The average PWV value relative to the participant's age as previously reported was 19.4 ± 4.7 m/s in the group with both Vit D deficiency and obesity, compared to 14.7 ± 2.1 m/s in the healthy control group (p < 0.05), indicating increased arterial stiffness.
Institute
Sharjah Institute for Medical Research
DepartmentResearch institute of medical and health science
LaboratoryBiomarker Discovery Group
Last NameFacility
First NameCore
AddressM32, SIMR, College of Pharmacy, Health Sciences, University of Sharjah, Sharjah, UAE, Sharjah, 000, United Arab Emirates
Emailtims-tof@sharjah.ac.ae
Phone+971 6 5057656
Submit Date2025-04-02
Raw Data AvailableYes
Raw Data File Type(s)mzML, d
Analysis Type DetailLC-MS
Release Date2025-05-01
Release Version1
Core Facility Core Facility
https://dx.doi.org/10.21228/M8425Q
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR002410
Project DOI:doi: 10.21228/M8425Q
Project Title:Exploring Metabolomic Profiles in Vitamin D Deficient and Obese Individuals
Project Type:LC-MS/MS
Project Summary:Cardiovascular diseases (CVDs) continue to pose a significant global health challenge, with vitamin D (Vit D) deficiency and obesity emerging as prominent risk factors. Arterial stiffness is recognized as a pivotal predictor and an independent risk element for CVDs. This study explores the metabolomic profiling of blood samples obtained from individuals afflicted with early arterial stiffness along with Vit D deficiency and obesity, compared with a healthy control group with normal Vit D and non-obese individuals. The study comprised nine participants with Vit D deficiency (Vit D level of 20 ng/ml or lower), and obese participants (BMI ≥ 30), along with eleven control participants (with Vit D levels above 20 ng/ml and normal BMI). Eleven metabolites exhibited statistically significant differences in patients with Vit D deficiency and obesity. Of these, eight metabolites demonstrated increased levels (FC > 2, p < 0.05), including Nutriacholic acid, N-Acetylputrescine, Succinylacetone, Adenosine monophosphate, Elaidic acid, Niacinamide, DUMP, and 2-Pyrrolidinone, while three metabolites exhibited decreased expression: PC (18:1(9Z)/18:1(9Z)), Trimethylamine, and Imidazole. The enrichment analysis revealed that top metabolic pathways predicted to be altered in the context of dysfunctional enzymes, encompassing processes such as nicotinamide acid uptake, fatty-acyl-CoA synthase (n-C18:0CoA), and extracellular NADP nucleosidase, among others. The ROC analysis showed that the blood metabolite concentrations can reliably differentiate with acceptable accuracy (AUC >0.8, p<0.05) between individuals at risk of arterial stiffness with Vit D deficiency and obesity from healthy controls showing the highest discriminator effect for DUMP and Niacinamide with AUC > 0.9 and p<0.00005. A combination metabolites model calculated with the linear SVM model achieved the highest performance of AUC=0.996 (95% CI: 0.97-1) and a predictive accuracy of 94.5% with the combination of seven metabolites. Integration of metabolomics and previous transcriptomics data identifies among the Vit D deficient and obese group disturbances in metabolic and regulatory pathways potentially related to vascular health such as inositol phosphate metabolism. The average PWV value relative to the participant's age as previously reported was 19.4 ± 4.7 m/s in the group with both Vit D deficiency and obesity, compared to 14.7 ± 2.1 m/s in the healthy control group (p < 0.05), indicating increased arterial stiffness.
Institute:Sharjah Institute for Medical Research
Department:Research institute of medical and health science
Laboratory:Biomarker Discovery Group
Last Name:Facility
First Name:Core
Address:M32, SIMR, College of Pharmacy, Health Sciences, University of Sharjah, Sharjah, UAE, Sharjah, 000, United Arab Emirates
Email:tims-tof@sharjah.ac.ae
Phone:+971 6 5057656

Subject:

Subject ID:SU003987
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606

Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Treatment
SA421997Plasma18-01_67_1_2212Control
SA421998Plasma24-02_73_1_2225Control
SA421999Plasma10-02_59_1_2197Control
SA422000Plasma23-02_72_1_2223Control
SA422001Plasma23-01_72_1_2222Control
SA422002Plasma22-02_71_1_2221Control
SA422003Plasma22-01_71_1_2220Control
SA422004Plasma20-02_69_1_2217Control
SA422005Plasma20-01_69_1_2216Control
SA422006Plasma18-02_67_1_2213Control
SA422007Plasma10-01_59_1_2196Control
SA422008Plasma17-02_66_1_2211Control
SA422009Plasma13-01_62_1_2202Control
SA422010Plasma17-01_66_1_2210Control
SA422011Plasma12-01_61_1_2200Control
SA422012Plasma12-02_61_1_2201Control
SA422013Plasma24-01_73_1_2224Control
SA422014Plasma13-02_62_1_2203Control
SA422015Plasma14-02_63_1_2205Control
SA422016Plasma15-01_64_1_2206Control
SA422017Plasma15-02_64_1_2207Control
SA422018Plasma14-01_63_1_2204Control
SA422019Plasma11-01_60_1_2198Vit D. Def.+ Obese
SA422020Plasma25-02_74_1_2227Vit D. Def.+ Obese
SA422021Plasma25-01_74_1_2226Vit D. Def.+ Obese
SA422022Plasma21-02_70_1_2219Vit D. Def.+ Obese
SA422023Plasma21-01_70_1_2218Vit D. Def.+ Obese
SA422024Plasma16-02_65_1_2209Vit D. Def.+ Obese
SA422025Plasma16-01_65_1_2208Vit D. Def.+ Obese
SA422026Plasma11-02_60_1_2199Vit D. Def.+ Obese
SA422027Plasma06-02_55_1_2189Vit D. Def.+ Obese
SA422028Plasma08-02_57_1_2193Vit D. Def.+ Obese
SA422029Plasma08-01_57_1_2192Vit D. Def.+ Obese
SA422030Plasma06-01_55_1_2188Vit D. Def.+ Obese
SA422031Plasma04-02_53_1_2185Vit D. Def.+ Obese
SA422032Plasma02-02_51_1_2181Vit D. Def.+ Obese
SA422033Plasma02-01_51_1_2180Vit D. Def.+ Obese
SA422034Plasma01-02_50_1_2179Vit D. Def.+ Obese
SA422035Plasma01-01_50_1_2178Vit D. Def.+ Obese
SA422036Plasma04-01_53_1_2184Vit D. Def.+ Obese
Showing results 1 to 40 of 40

Collection:

Collection ID:CO003980
Collection Summary:The study comprised nine participants with Vit D deficiency (Vit D level of 20 ng/ml or lower), and obese participants (BMI ≥ 30), along with eleven control participants (with Vit D levels above 20 ng/ml and normal BMI). Blood Samples were centrifuged for 5 minutes at 5000 rpm at 4°C then the plasma was taken and frozen at -80°C until further analysis.
Sample Type:Blood (plasma)
Storage Conditions:-80℃

Treatment:

Treatment ID:TR003996
Treatment Summary:No treatment was given. The study comprised nine participants with Vit D deficiency (Vit D level of 20 ng/ml or lower), and obese participants (BMI ≥ 30), along with eleven control participants (with Vit D levels above 20 ng/ml and normal BMI). Blood Samples were centrifuged for 5 minutes at 5000 rpm at 4°C then the plasma was taken and frozen at -80°C until further analysis

Sample Preparation:

Sampleprep ID:SP003993
Sampleprep Summary:Plasma samples were divided into Eppendorf of 100 μL each, 300 μL of methanol ((≥99.9 %, LCMS CHROMASOLV) was added, followed by vortex and incubation at −20 ◦C for 2 h. Next, the samples were vortexed and then centrifuged at 14,000 rpm for 15 min at 4°C. Then, the supernatant was evaporated using Speed vacuum evaporation at 37 ± 1 °C ◦C (EZ-2 Plus (GeneVac, Ipswich, UK). The extract samples were resuspended with 200uL of 0.1% formic acid in deionized water-LCMS CHROMASOLV from Honeywell (Wunstorfer Strasse, Seelze, Germany) and vortexed for 2 min to be mixed totally. Finally, the samples were filtered using a hydrophilic nylon syringe filter of 0.45 μm pore size and returned to the glass insert within LC glass vials. The quality control (QC) sample was prepared by pooling the same volume (10 μL) of each sample, and all samples were placed in the autosampler at a temperature set at 4℃ and analyzed with UHPLC-QTOF-MS.

Chromatography:

Chromatography ID:CH004802
Chromatography Summary:The Elute UHPLC and Q-TOF Mass Spectrometer (Bruker, Bremen, Germany) were utilized for metabolite detection. The Elute HPG 1300 pumps, Elute Au-tosampler (Bruker, Bremen, Germany), and Hamilton® Intensity Solo 2 C18 column (100 mm x 2.1 mm, 1.8 μm) were employed using reversed-phase chromatography. Solvents used for separation were 0.1 % FA in LC grade water (solvent A) and 0.1 % FA in ACN (solvent B). The column was kept at 35°C, and each sample was injected twice with an injection volume of 10 µL. Sample elution was performed in 30 min gradient starting with 1% ACN for 2 min and then ramped to 99% ACN within 15 min. After that, 99% ACN was kept for 3 min, and then the re-equilibration to 1% ACN was done for 10 min. The flow rate was 0.25 mL/min for 20 min and then 0.35 mL/min for 8.3 min and then the flow rate set at 0.25 mL/min for 1.7 min.
Instrument Name:Bruker timsTOF
Column Name:Hamilton Intensity Solo 2 C18 (100 x 2.1 mm, 1.8um)
Column Temperature:35°C
Flow Gradient:Sample elution was performed in 30 min gradient starting with 1% B for 2 min and then ramped to 99% B within 15 min. After that, 99% B was kept for 3 min, and then the re-equilibration to 1% B was done for 10 min.
Flow Rate:The flow rate was 0.25 mL/min for 20 min and then 0.35 mL/min for 8.3 min and then the flow rate set at 0.25 mL/min for 1.7 min.
Solvent A:100% water; 0.1% formic acid
Solvent B:100% acetonitrile; 0.1% formic acid
Chromatography Type:Reversed phase

Analysis:

Analysis ID:AN006331
Analysis Type:MS
Analysis Protocol File:Vitamin_D_Deficient_and_Obese_Protocol.pdf
Chromatography ID:CH004802
Num Factors:2
Num Metabolites:111
Rt Units:Minutes
Units:AU
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