Summary of Study ST003942
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 PR002469. The data can be accessed directly via it's Project DOI: 10.21228/M8H26H 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 | ST003942 |
| Study Title | Tryptophan metabolite concentrations in plasma of treated metabolic syndrome patients with and without mild cognitive impairment |
| Study Summary | We validated mass spectrometry-based quantitation methods and quantified trytophan metabolites in kynurenine pathway in plasma of ninety-five treated MetS patients with and without MCI assessed by Montreal cognitive assessment. |
| Institute | Mahidol University |
| Department | Faculty of Medicine Siriraj Hospital |
| Laboratory | SiCORE-MSB |
| Last Name | Jariyasopit |
| First Name | Narumol |
| Address | 2 Prannok, Bangkok, Non-US, 10700, Thailand |
| narumoljariyasopit@gmail.com | |
| Phone | +6624195500 |
| Submit Date | 2025-05-28 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML, raw(Waters) |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-06-25 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002469 |
| Project DOI: | doi: 10.21228/M8H26H |
| Project Title: | Higher Plasma Kynurenine to Tryptophan Correlates with Increased Incidence of Mild Cognitive Impairment in Treated Metabolic Syndrome Patients |
| Project Type: | MS quantitative analysis |
| Project Summary: | An increase in cognitive impairment has been observed in metabolic syndrome (MetS) patients. Although alterations in metabolomic profiles have been identified as potential plasma/serum biomarkers of mild cognitive impairment (MCI) and MetS, findings remain inconsistent— likely due to the heterogeneity among MetS patients and the lack of subsequent validation using targeted analysis after initial untargeted analysis. In this study, we validated mass spectrometry-based quantitation methods and quantified amino acids, fatty acids, and tryptophan metabolites in the kynurenine pathway in plasma of ninety-five treated MetS patients with and without MCI assessed by Montreal cognitive assessment. We found that MCI was positively associated with kynurenine to tryptophan ratio (KTR) after the adjustment for age, gender, and BMI, as well as were negatively associated with C20:3 [all-Z-8,11,14] and lysine. One-unit increase in KTR resulted in increased probability of developing MCI by 371%. In contrast, one-unit increases in C20:3 and lysine were associated with decreased odds of developing MCI by 81% and 78%, respectively. Our finding underscores the prominent neuroinflammation, beyond normal aging, in MetS patients, even under ongoing clinical treatment. It also points to the potential of KTR as a risk marker for MCI, offering a valuable complement to the existing cognitive assessments that may be influenced by educational background. In addition, the validated metabolite data is an useful resource for future research. It can facilitate comparisons across different studies, contribute to large-scale analyses, and be used in machine learning models for discovering and validating new biomarkers. |
| Institute: | Mahidol University |
| Department: | Faculty of Medicine Siriraj Hospital |
| Laboratory: | SiCORE-MSB |
| Last Name: | Jariyasopit |
| First Name: | Narumol |
| Address: | 2 Prannok, Bangkok, Non-US, 10700, Thailand |
| Email: | narumoljariyasopit@gmail.com |
| Phone: | 662-4195507 |
Subject:
| Subject ID: | SU004079 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Gender: | Male and female |
| Human Ethnicity: | Thai |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample source | Factor |
|---|---|---|---|
| SA450529 | 31aug23_050 | plasma | MetS |
| SA450530 | 31aug23_095 | plasma | MetS |
| SA450531 | 31aug23_091 | plasma | MetS |
| SA450532 | 31aug23_042 | plasma | MetS |
| SA450533 | 31aug23_043 | plasma | MetS |
| SA450534 | 31aug23_047 | plasma | MetS |
| SA450535 | 31aug23_048 | plasma | MetS |
| SA450536 | 31aug23_051 | plasma | MetS |
| SA450537 | 31aug23_101 | plasma | MetS |
| SA450538 | 31aug23_055 | plasma | MetS |
| SA450539 | 31aug23_083 | plasma | MetS |
| SA450540 | 31aug23_082 | plasma | MetS |
| SA450541 | 31aug23_059 | plasma | MetS |
| SA450542 | 31aug23_060 | plasma | MetS |
| SA450543 | 31aug23_063 | plasma | MetS |
| SA450544 | 31aug23_066 | plasma | MetS |
| SA450545 | 31aug23_096 | plasma | MetS |
| SA450546 | 31aug23_038 | plasma | MetS |
| SA450547 | 31aug23_028 | plasma | MetS |
| SA450548 | 31aug23_104 | plasma | MetS |
| SA450549 | 31aug23_015 | plasma | MetS |
| SA450550 | 31aug23_021 | plasma | MetS |
| SA450551 | 31aug23_017 | plasma | MetS |
| SA450552 | 31aug23_026 | plasma | MetS |
| SA450553 | 31aug23_007 | plasma | MetS |
| SA450554 | 31aug23_079 | plasma | MetS-MCI |
| SA450555 | 31aug23_078 | plasma | MetS-MCI |
| SA450556 | 31aug23_116 | plasma | MetS-MCI |
| SA450557 | 31aug23_080 | plasma | MetS-MCI |
| SA450558 | 31aug23_086 | plasma | MetS-MCI |
| SA450559 | 31aug23_115 | plasma | MetS-MCI |
| SA450560 | 31aug23_114 | plasma | MetS-MCI |
| SA450561 | 31aug23_076 | plasma | MetS-MCI |
| SA450562 | 31aug23_113 | plasma | MetS-MCI |
| SA450563 | 31aug23_112 | plasma | MetS-MCI |
| SA450564 | 31aug23_084 | plasma | MetS-MCI |
| SA450565 | 31aug23_085 | plasma | MetS-MCI |
| SA450566 | 31aug23_081 | plasma | MetS-MCI |
| SA450567 | 31aug23_087 | plasma | MetS-MCI |
| SA450568 | 31aug23_111 | plasma | MetS-MCI |
| SA450569 | 31aug23_102 | plasma | MetS-MCI |
| SA450570 | 31aug23_109 | plasma | MetS-MCI |
| SA450571 | 31aug23_107 | plasma | MetS-MCI |
| SA450572 | 31aug23_090 | plasma | MetS-MCI |
| SA450573 | 31aug23_106 | plasma | MetS-MCI |
| SA450574 | 31aug23_105 | plasma | MetS-MCI |
| SA450575 | 31aug23_092 | plasma | MetS-MCI |
| SA450576 | 31aug23_093 | plasma | MetS-MCI |
| SA450577 | 31aug23_073 | plasma | MetS-MCI |
| SA450578 | 31aug23_094 | plasma | MetS-MCI |
| SA450579 | 31aug23_103 | plasma | MetS-MCI |
| SA450580 | 31aug23_097 | plasma | MetS-MCI |
| SA450581 | 31aug23_099 | plasma | MetS-MCI |
| SA450582 | 31aug23_100 | plasma | MetS-MCI |
| SA450583 | 31aug23_074 | plasma | MetS-MCI |
| SA450584 | 31aug23_005 | plasma | MetS-MCI |
| SA450585 | 31aug23_072 | plasma | MetS-MCI |
| SA450586 | 31aug23_020 | plasma | MetS-MCI |
| SA450587 | 31aug23_032 | plasma | MetS-MCI |
| SA450588 | 31aug23_031 | plasma | MetS-MCI |
| SA450589 | 31aug23_030 | plasma | MetS-MCI |
| SA450590 | 31aug23_029 | plasma | MetS-MCI |
| SA450591 | 31aug23_025 | plasma | MetS-MCI |
| SA450592 | 31aug23_023 | plasma | MetS-MCI |
| SA450593 | 31aug23_022 | plasma | MetS-MCI |
| SA450594 | 31aug23_019 | plasma | MetS-MCI |
| SA450595 | 31aug23_034 | plasma | MetS-MCI |
| SA450596 | 31aug23_018 | plasma | MetS-MCI |
| SA450597 | 31aug23_016 | plasma | MetS-MCI |
| SA450598 | 31aug23_014 | plasma | MetS-MCI |
| SA450599 | 31aug23_012 | plasma | MetS-MCI |
| SA450600 | 31aug23_010 | plasma | MetS-MCI |
| SA450601 | 31aug23_009 | plasma | MetS-MCI |
| SA450602 | 31aug23_008 | plasma | MetS-MCI |
| SA450603 | 31aug23_033 | plasma | MetS-MCI |
| SA450604 | 31aug23_035 | plasma | MetS-MCI |
| SA450605 | 31aug23_071 | plasma | MetS-MCI |
| SA450606 | 31aug23_057 | plasma | MetS-MCI |
| SA450607 | 31aug23_070 | plasma | MetS-MCI |
| SA450608 | 31aug23_069 | plasma | MetS-MCI |
| SA450609 | 31aug23_068 | plasma | MetS-MCI |
| SA450610 | 31aug23_065 | plasma | MetS-MCI |
| SA450611 | 31aug23_062 | plasma | MetS-MCI |
| SA450612 | 31aug23_006 | plasma | MetS-MCI |
| SA450613 | 31aug23_058 | plasma | MetS-MCI |
| SA450614 | 31aug23_056 | plasma | MetS-MCI |
| SA450615 | 31aug23_036 | plasma | MetS-MCI |
| SA450616 | 31aug23_054 | plasma | MetS-MCI |
| SA450617 | 31aug23_053 | plasma | MetS-MCI |
| SA450618 | 31aug23_049 | plasma | MetS-MCI |
| SA450619 | 31aug23_044 | plasma | MetS-MCI |
| SA450620 | 31aug23_041 | plasma | MetS-MCI |
| SA450621 | 31aug23_040 | plasma | MetS-MCI |
| SA450622 | 31aug23_039 | plasma | MetS-MCI |
| SA450623 | 31aug23_061 | plasma | MetS-MCI |
| Showing results 1 to 95 of 95 |
Collection:
| Collection ID: | CO004072 |
| Collection Summary: | Blood was collected in EDTA-coated tubes and centrifuged at 3,000 rpm to obtain plasma. The plasma was then transferred into cryovials and stored at –85°C until use. |
| Sample Type: | Blood (plasma) |
Treatment:
| Treatment ID: | TR004088 |
| Treatment Summary: | All patients were divided into two groups: 1) MetS patients with MCI and 2) MetS patients with normal cognitive function. MCI was determined when the MoCA score was less than 23. |
Sample Preparation:
| Sampleprep ID: | SP004085 |
| Sampleprep Summary: | Tryptophan metabolites were quantified using a previously published method with minor modifications. In brief, 50 µL of plasma was mixed with 200 µL of methanol containing 100 ng of picolinic acid-d4, used as an internal standard. After a brief vortex, the sample mixture was sonicated for 10 min at room temperature and stored at -20ºC overnight. The sample was centrifuged at 13,000 rpm at 4ºC for 15 min. The supernatant was transferred to a new Eppendorf tube and evaporated to dryness using a vacuum concentrator (Labconco, MO, USA). The sample was resuspended in 100 µL Milli-Q water with 0.1% formic acid, followed by a brief vortex and 10-minute sonication at room temperature. After centrifugation at 13,000 rpm, 4ºC for 15 min, the supernatant was transfer to an LC vial. |
Chromatography:
| Chromatography ID: | CH004923 |
| Chromatography Summary: | The analysis was carried out using a Waters Acquity I-Class UPLC coupled with a Xevo TQ-Absolute MS/MS, with an electrospray ionization source. The target tryptophan metabolites were separated on a HSS T3 column, 2.1 × 100 mm, 1.8 mM column (Waters, Milford, MA, USA). The column was kept at 30ºC, and the flow rate was 0.3 mL/min throughout the analysis. Mobile phases were (A) 0.1% formic acid in Milli-Q water and (B) 0.1% formic acid in acetonitrile, using a gradient program that started at 99% A, decreased 30to 70% over 7.0 min, then decreased to 30% at 9 min, and returned to the initial condition at 10 min and held for 4.0 min. The MS was operated in positive multiple reaction monitoring mode to collect m/z values as given in the previous study.31 The optimal MS parameters were as follows: capillary voltage 1.5 kV, source temperature 150ºC, desolvation gas (N2) flow 900 L/h at 550 ºC, cone gas flow 150 L/h, nebulizer gas (Ar) 7.0 bar, collision gas flow 0.25 mL/min. The injection volume was 5 µL. |
| Instrument Name: | Waters Acquity I-Class |
| Column Name: | Waters ACQUITY UPLC HSS C18 (100 x 2.1 mm, 1.8 µm) |
| Column Temperature: | 30ºC |
| Flow Gradient: | n/a |
| Flow Rate: | 0.3 mL/min |
| Solvent A: | 100% Water; 0.1% Formic acid |
| Solvent B: | 100% Acetonitrile; 0.1% Formic acid |
| Chromatography Type: | Reversed phase |
Analysis:
| Analysis ID: | AN006481 |
| Analysis Type: | MS |
| Chromatography ID: | CH004923 |
| Num Factors: | 2 |
| Num Metabolites: | 5 |
| Units: | µmol/dL plasma |