Summary of Study ST003368
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 PR002091. The data can be accessed directly via it's Project DOI: 10.21228/M8B83W 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 | ST003368 |
| Study Title | Non-Invasive Diagnosis of Moyamoya Disease Using Serum Metabolic Fingerprints and Machine Learning |
| Study Summary | Moyamoya disease (MMD) is a progressive cerebrovascular condition that elevates the risk of intracranial ischemia and hemorrhage. Timely diagnosis and intervention can considerably lower the chances of new stroke occurrences in MMD patients. However, existing diagnostic techniques are both invasive and costly, with few reports on non-invasive diagnosis using MMD biomarkers. To tackle this challenge, we conducted non-targeted metabolomics analysis using LDI-MS on serum from 288 samples (validation cohort: MMD/HC: 115/115; discovery cohort: MMD/HC: 29/29) to identify patients with MMD. We then created a diagnostic model leveraging deep learning algorithms, which demonstrated remarkable accuracy in distinguishing the MMD group from the HC group (AUC = 0.977, 95% CI of 0.945 to 1.000). This method represents a promising new approach for MMD diagnosis. Additionally, our findings may have wider implications for the diagnosis of other neurological disorders. |
| Institute | Shanghai Jiao Tong University affiliated Renji Hospital |
| Last Name | Xu |
| First Name | Yudian |
| Address | Shanghai, 200127, P. R. China, Shanghai, Shanghai, 200127, China |
| xuyd9r@sjtu.edu.cn | |
| Phone | 19370718762 |
| Submit Date | 2024-07-14 |
| Analysis Type Detail | MALDI-MS |
| Release Date | 2024-09-16 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002091 |
| Project DOI: | doi: 10.21228/M8B83W |
| Project Title: | Non-Invasive Diagnosis of Moyamoya Disease Using Serum Metabolic Fingerprints and Machine Learning |
| Project Summary: | Moyamoya disease (MMD) is a progressive cerebrovascular disorder that raises the risk of intracranial ischemia and hemorrhage. For a non-invasive diagnostic approach to MMD, we used nanoparticle-enhanced laser desorption/ionization mass spectrometry (LDI-MS) to analyze serum metabolic fingerprints (SMFs) in a validation cohort (MMD: 115/HC: 115) and a discovery cohort (MMD: 29/HC: 29). |
| Institute: | Shanghai Jiao Tong University affiliated Renji Hospital |
| Last Name: | Xu |
| First Name: | Yudian |
| Address: | Shanghai, 200127, P. R. China, Shanghai, Shanghai, 200127, China |
| Email: | xuyd9r@sjtu.edu.cn |
| Phone: | 19370718762 |
Subject:
| Subject ID: | SU003489 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Gender: | Male and female |
| Species Group: | Mammals |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Factor |
|---|---|---|
| SA366602 | Discovery_101 | HC |
| SA366603 | Discovery_95 | HC |
| SA366604 | Discovery_96 | HC |
| SA366605 | Discovery_97 | HC |
| SA366606 | Discovery_98 | HC |
| SA366607 | Discovery_99 | HC |
| SA366608 | Discovery_100 | HC |
| SA366609 | Discovery_102 | HC |
| SA366610 | Discovery_93 | HC |
| SA366611 | Discovery_103 | HC |
| SA366612 | Discovery_104 | HC |
| SA366613 | Discovery_105 | HC |
| SA366614 | Discovery_106 | HC |
| SA366615 | Discovery_107 | HC |
| SA366616 | Discovery_108 | HC |
| SA366617 | Discovery_94 | HC |
| SA366618 | Discovery_92 | HC |
| SA366619 | Discovery_110 | HC |
| SA366620 | Discovery_83 | HC |
| SA366621 | Discovery_77 | HC |
| SA366622 | Discovery_78 | HC |
| SA366623 | Discovery_79 | HC |
| SA366624 | Discovery_80 | HC |
| SA366625 | Discovery_81 | HC |
| SA366626 | Discovery_82 | HC |
| SA366627 | Discovery_84 | HC |
| SA366628 | Discovery_91 | HC |
| SA366629 | Discovery_85 | HC |
| SA366630 | Discovery_86 | HC |
| SA366631 | Discovery_87 | HC |
| SA366632 | Discovery_88 | HC |
| SA366633 | Discovery_89 | HC |
| SA366634 | Discovery_90 | HC |
| SA366635 | Discovery_109 | HC |
| SA366636 | Discovery_111 | HC |
| SA366637 | Discovery_75 | HC |
| SA366638 | Validation_22 | HC |
| SA366639 | Validation_16 | HC |
| SA366640 | Validation_17 | HC |
| SA366641 | Validation_18 | HC |
| SA366642 | Validation_19 | HC |
| SA366643 | Validation_20 | HC |
| SA366644 | Validation_21 | HC |
| SA366645 | Validation_23 | HC |
| SA366646 | Validation_14 | HC |
| SA366647 | Validation_24 | HC |
| SA366648 | Validation_25 | HC |
| SA366649 | Validation_26 | HC |
| SA366650 | Validation_27 | HC |
| SA366651 | Validation_28 | HC |
| SA366652 | Validation_29 | HC |
| SA366653 | Validation_15 | HC |
| SA366654 | Validation_13 | HC |
| SA366655 | Discovery_112 | HC |
| SA366656 | Validation_3 | HC |
| SA366657 | Discovery_113 | HC |
| SA366658 | Discovery_114 | HC |
| SA366659 | Discovery_115 | HC |
| SA366660 | Discovery_2 | HC |
| SA366661 | Validation_1 | HC |
| SA366662 | Validation_2 | HC |
| SA366663 | Validation_4 | HC |
| SA366664 | Validation_12 | HC |
| SA366665 | Validation_5 | HC |
| SA366666 | Validation_6 | HC |
| SA366667 | Validation_7 | HC |
| SA366668 | Validation_8 | HC |
| SA366669 | Validation_9 | HC |
| SA366670 | Validation_10 | HC |
| SA366671 | Validation_11 | HC |
| SA366672 | Discovery_76 | HC |
| SA366673 | Discovery_1 | HC |
| SA366674 | Discovery_74 | HC |
| SA366675 | Discovery_29 | HC |
| SA366676 | Discovery_7 | HC |
| SA366677 | Discovery_6 | HC |
| SA366678 | Discovery_5 | HC |
| SA366679 | Discovery_4 | HC |
| SA366680 | Discovery_3 | HC |
| SA366681 | Discovery_32 | HC |
| SA366682 | Discovery_30 | HC |
| SA366683 | Discovery_9 | HC |
| SA366684 | Discovery_31 | HC |
| SA366685 | Discovery_73 | HC |
| SA366686 | Discovery_28 | HC |
| SA366687 | Discovery_33 | HC |
| SA366688 | Discovery_34 | HC |
| SA366689 | Discovery_35 | HC |
| SA366690 | Discovery_8 | HC |
| SA366691 | Discovery_10 | HC |
| SA366692 | Discovery_37 | HC |
| SA366693 | Discovery_20 | HC |
| SA366694 | Discovery_26 | HC |
| SA366695 | Discovery_25 | HC |
| SA366696 | Discovery_24 | HC |
| SA366697 | Discovery_23 | HC |
| SA366698 | Discovery_22 | HC |
| SA366699 | Discovery_21 | HC |
| SA366700 | Discovery_19 | HC |
| SA366701 | Discovery_11 | HC |
Collection:
| Collection ID: | CO003482 |
| Collection Summary: | All human peripheral venous blood samples were obtained following the protocols approved by the Institutional Review Board at Huashan Hospital. Blood samples were obtained at the same time as regular blood tests after overnight fasting and then centrifuged for 10 minutes (1500g, 4℃). Serum samples were aliquoted in sterile centrifuge tubes and stored at -80℃ storage freezer. |
| Sample Type: | Blood (serum) |
Treatment:
| Treatment ID: | TR003498 |
| Treatment Summary: | none |
Sample Preparation:
| Sampleprep ID: | SP003496 |
| Sampleprep Summary: | At the beginning, all original serum samples were diluted 10 times by 10ul to obtain diluted serum, and both the original serum and the diluted serum were placed at -80℃ for later use. In LDI MS experiments, 1 μL of analyte solution (prepared standard small metabolites or diluted samples) was first spotted on the polished steel plate and dried, followed by depositing 1 μL of nanoparticle suspension or organic matrix solution and dried in air at room temperature. |
Chromatography:
| Chromatography ID: | CH004196 |
| Instrument Name: | none |
| Column Name: | none |
| Column Temperature: | none |
| Flow Gradient: | none |
| Flow Rate: | none |
| Solvent A: | None |
| Solvent B: | none |
| Chromatography Type: | None (Direct infusion) |
Analysis:
| Analysis ID: | AN005520 |
| Analysis Type: | MS |
| Chromatography ID: | CH004196 |
| Has Mz: | 1 |
| Rt Units: | No RT data |
| Results File: | ST003368_AN005520_Results.txt |
| Units: | Relative intensity |