Summary of Study ST004241
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 PR002674. The data can be accessed directly via it's Project DOI: 10.21228/M80Z6T This work is supported by NIH grant, U2C- DK119886. See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST004241 |
| Study Title | Global metabolomics and lipidomics identified steroid, sphingolipid, and microbiome-associated pathways linked to asthma exacerbation |
| Study Summary | This study aimed to identify candidate biomarkers of asthma exacerbation using global metabolomics and lipidomics. We selected 570 asthmatic cases and 570 matched controls from the Mass General Brigham Biobank to form the Mass General Brigham–Karolinska Asthma Study (MGBB KAS) cohort. All samples were profiled by metabolomics (HILIC positive) and lipidomics (positive and negative ion modes). After multiple testing correction (FDR ≤ 0.05), 154 metabolites were significantly associated with asthma. Notable associations involved sphingolipids, steroids, aminosugar metabolites, and microbiome linked pathways—especially tryptophan metabolism. |
| Institute | China Pharmaceutical University |
| Last Name | Pei |
| First Name | Zhang |
| Address | #24 Tongjia Rd. Gulou District, Nanjing, China |
| peizhang@cpu.edu.cn | |
| Phone | +8302583271021 |
| Submit Date | 2025-04-20 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-10-20 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002674 |
| Project DOI: | doi: 10.21228/M80Z6T |
| Project Title: | The ratio of circulatory levels of sphingolipids to steroids predicts asthma exacerbations |
| Project Summary: | This project aims to develop and validate a blood-based biomarker model to identify individuals at elevated risk of asthma exacerbations. Global metabolomics highlighted steroid, sphingolipid, and microbiome-linked metabolic pathways as associated with asthma status and exacerbation risk. Targeted quantification showed that sphingolipid-to-steroid ratios were strongly and consistently associated with 5‑year risk of exacerbation. Derived a simple predictive model based on 21 sphingolipid-to-steroid ratios that replicated across cohorts and outperformed current clinical measures (discovery AUC = 0.90; replication AUC = 0.89). These findings underscore the value of metabolomic profiling to develop a practical, cost-effective clinical assay for asthma exacerbation risk that may improve patient care. |
| Institute: | China Pharmaceutical University |
| Last Name: | Pei |
| First Name: | Zhang |
| Address: | #24 Tongjia Rd. Gulou District, Nanjing, China |
| Email: | peizhang@cpu.edu.cn |
| Phone: | +8602583271021 |
Subject:
| Subject ID: | SU004393 |
| 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 | Sample source | Group |
|---|---|---|---|
| SA486678 | LP_SAM03101 | Serum | Asthma |
| SA486679 | LP_SAM03113 | Serum | Asthma |
| SA486680 | LP_SAM03120 | Serum | Asthma |
| SA486681 | LP_SAM03452 | Serum | Asthma |
| SA486682 | LP_SAM03447 | Serum | Asthma |
| SA486683 | LP_SAM03125 | Serum | Asthma |
| SA486684 | LP_SAM03365 | Serum | Asthma |
| SA486685 | LP_SAM03388 | Serum | Asthma |
| SA486686 | LP_SAM03353 | Serum | Asthma |
| SA486687 | LP_SAM03457 | Serum | Asthma |
| SA486688 | LP_SAM03346 | Serum | Asthma |
| SA486689 | LP_SAM03426 | Serum | Asthma |
| SA486690 | LP_SAM03264 | Serum | Asthma |
| SA486691 | LP_SAM03226 | Serum | Asthma |
| SA486692 | LP_SAM02960 | Serum | Asthma |
| SA486693 | LP_SAM03398 | Serum | Asthma |
| SA486694 | LP_SAM03400 | Serum | Asthma |
| SA486695 | LP_SAM03470 | Serum | Asthma |
| SA486696 | LP_SAM03323 | Serum | Asthma |
| SA486697 | LP_SAM03474 | Serum | Asthma |
| SA486698 | LP_SAM03085 | Serum | Asthma |
| SA486699 | LP_SAM03471 | Serum | Asthma |
| SA486700 | LP_SAM03199 | Serum | Asthma |
| SA486701 | LP_SAM02950 | Serum | Asthma |
| SA486702 | LP_SAM03252 | Serum | Asthma |
| SA486703 | LP_SAM03462 | Serum | Asthma |
| SA486704 | LP_SAM03073 | Serum | Asthma |
| SA486705 | LP_SAM03379 | Serum | Asthma |
| SA486706 | LP_SAM02969 | Serum | Asthma |
| SA486707 | LP_SAM02967 | Serum | Asthma |
| SA486708 | LP_SAM03222 | Serum | Asthma |
| SA486709 | LP_SAM03236 | Serum | Asthma |
| SA486710 | LP_SAM03409 | Serum | Asthma |
| SA486711 | LP_SAM03324 | Serum | Asthma |
| SA486712 | LP_SAM03410 | Serum | Asthma |
| SA486713 | LP_SAM02966 | Serum | Asthma |
| SA486714 | LP_SAM03046 | Serum | Asthma |
| SA486715 | LP_SAM03115 | Serum | Asthma |
| SA486716 | LP_SAM03081 | Serum | Asthma |
| SA486717 | LP_SAM03340 | Serum | Asthma |
| SA486718 | LP_SAM03438 | Serum | Asthma |
| SA486719 | LP_SAM03302 | Serum | Asthma |
| SA486720 | LP_SAM03223 | Serum | Asthma |
| SA486721 | LP_SAM03317 | Serum | Asthma |
| SA486722 | LP_SAM03280 | Serum | Asthma |
| SA486723 | LP_SAM03375 | Serum | Asthma |
| SA486724 | LP_SAM03124 | Serum | Asthma |
| SA486725 | LP_SAM03144 | Serum | Asthma |
| SA486726 | LP_SAM03245 | Serum | Asthma |
| SA486727 | LP_SAM03502 | Serum | Asthma |
| SA486728 | LP_SAM02983 | Serum | Asthma |
| SA486729 | LP_SAM03091 | Serum | Asthma |
| SA486730 | LP_SAM03337 | Serum | Asthma |
| SA486731 | LP_SAM02973 | Serum | Asthma |
| SA486732 | LP_SAM03487 | Serum | Asthma |
| SA486733 | LP_SAM03387 | Serum | Asthma |
| SA486734 | LP_SAM03010 | Serum | Asthma |
| SA486735 | LP_SAM03173 | Serum | Asthma |
| SA486736 | LP_SAM03286 | Serum | Asthma |
| SA486737 | LP_SAM03465 | Serum | Asthma |
| SA486738 | LP_SAM03224 | Serum | Asthma |
| SA486739 | LP_SAM03161 | Serum | Asthma |
| SA486740 | LP_SAM03444 | Serum | Asthma |
| SA486741 | LP_SAM03275 | Serum | Asthma |
| SA486742 | LP_SAM03354 | Serum | Asthma |
| SA486743 | LP_SAM03139 | Serum | Asthma |
| SA486744 | LP_SAM03110 | Serum | Asthma |
| SA486745 | LP_SAM03137 | Serum | Asthma |
| SA486746 | LP_SAM03449 | Serum | Asthma |
| SA486747 | LP_SAM03194 | Serum | Asthma |
| SA486748 | LP_SAM03382 | Serum | Asthma |
| SA486749 | LP_SAM03469 | Serum | Asthma |
| SA486750 | LP_SAM03105 | Serum | Asthma |
| SA486751 | LP_SAM02951 | Serum | Asthma |
| SA486752 | LP_SAM02945 | Serum | Asthma |
| SA486753 | LP_SAM02946 | Serum | Asthma |
| SA486754 | LP_SAM03348 | Serum | Asthma |
| SA486755 | LP_SAM03384 | Serum | Asthma |
| SA486756 | LP_SAM02943 | Serum | Asthma |
| SA486757 | LP_SAM03511 | Serum | Asthma |
| SA486758 | LP_SAM03136 | Serum | Asthma |
| SA486759 | LP_SAM03080 | Serum | Asthma |
| SA486760 | LP_SAM02982 | Serum | Asthma |
| SA486761 | LP_SAM03287 | Serum | Asthma |
| SA486762 | LP_SAM03038 | Serum | Asthma |
| SA486763 | LP_SAM03395 | Serum | Asthma |
| SA486764 | LP_SAM03361 | Serum | Asthma |
| SA486765 | LP_SAM03138 | Serum | Asthma |
| SA486766 | LP_SAM02986 | Serum | Asthma |
| SA486767 | LP_SAM03266 | Serum | Asthma |
| SA486768 | LP_SAM03347 | Serum | Asthma |
| SA486769 | LP_SAM03481 | Serum | Asthma |
| SA486770 | LP_SAM02984 | Serum | Asthma |
| SA486771 | LP_SAM03111 | Serum | Asthma |
| SA486772 | LP_SAM03333 | Serum | Asthma |
| SA486773 | LP_SAM03397 | Serum | Asthma |
| SA486774 | LP_SAM03123 | Serum | Asthma |
| SA486775 | LP_SAM03296 | Serum | Asthma |
| SA486776 | LP_SAM03133 | Serum | Asthma |
| SA486777 | LP_SAM03219 | Serum | Asthma |
Collection:
| Collection ID: | CO004386 |
| Collection Summary: | Venipuncture was performed into serum separator tubes using standard phlebotomy technique. Tubes clotted upright at room temperature for 30–60 minutes, then were centrifuged at 1,500 × g for 10 minutes room temperature to separate serum. Serum aliquots were snap frozen on dry ice and transferred to −80°C storage within 2 hours of collection. Samples shipped between sites on dry ice with continuous temperature monitoring. |
| Sample Type: | Blood (serum) |
| Storage Conditions: | -80℃ |
Treatment:
| Treatment ID: | TR004402 |
| Treatment Summary: | NA |
Sample Preparation:
| Sampleprep ID: | SP004399 |
| Sampleprep Summary: | The protocols provide this information. In general, methanol was used to extract metabolites, and methyl tert-butyl ether-water was used as an extracting solvent for lipids. |
Combined analysis:
| Analysis ID | AN007058 | AN007059 | AN007060 |
|---|---|---|---|
| Chromatography ID | CH005360 | CH005361 | CH005361 |
| MS ID | MS006755 | MS006756 | MS006757 |
| Analysis type | MS | MS | MS |
| Chromatography type | HILIC | Reversed phase | Reversed phase |
| Chromatography system | Agilent 1290 Infinity II | Agilent 1290 Infinity II | Agilent 1290 Infinity II |
| Column | Merck SeQuant ZIC-HILIC (100 x 2.1mm,3.5um) | Agilent ZORBAX Eclipse Plus C18 (100 x 2.1mm,1.8um) | Agilent ZORBAX Eclipse Plus C18 (100 x 2.1mm,1.8um) |
| MS Type | ESI | ESI | ESI |
| MS instrument type | QTOF | QTOF | QTOF |
| MS instrument name | Agilent 6550 QTOF | Agilent 6550 QTOF | Agilent 6550 QTOF |
| Ion Mode | POSITIVE | NEGATIVE | POSITIVE |
| Units | Peak area | Peak area | Peak area |
Chromatography:
| Chromatography ID: | CH005360 |
| Methods Filename: | Metabolomics_HILIC_POS_Chromatography.pdf |
| Instrument Name: | Agilent 1290 Infinity II |
| Column Name: | Merck SeQuant ZIC-HILIC (100 x 2.1mm,3.5um) |
| Column Temperature: | 25 |
| Flow Gradient: | 0-1.5 min, 95% B, 1.5-12min, 95% to 40% B, 12-14min, 40% B, 14-14.2min, 40% to 25% B, 14.2-17min, 25% B, 17-18min 25%-95% B, 18-25min 95% B. |
| Flow Rate: | 0.3 mL/min |
| Solvent A: | 100% Water; 0.1% formic acid |
| Solvent B: | 100% acetonitrile; 0.1% formic acid |
| Chromatography Type: | HILIC |
| Chromatography ID: | CH005361 |
| Methods Filename: | Lipidomics_positive_negative_modes_Chromatography.pdf |
| Instrument Name: | Agilent 1290 Infinity II |
| Column Name: | Agilent ZORBAX Eclipse Plus C18 (100 x 2.1mm,1.8um) |
| Column Temperature: | 50 |
| Flow Gradient: | 0-3min, 20% to 60% B, 3-10min, 60% to 85% B, 10-15min, 85% B, 15-15.1min, 85% to 97% B, 15.1-17.1min, 97% B, 17.1min 97% to 20% B, 17.1-19min, 97% B |
| Flow Rate: | 0.4 mL/min |
| Solvent A: | 60% acetonitrile/40% water; 10 mM ammonium formate |
| Solvent B: | 90% isopropanol/10% acetonitrile; 10 mM ammonium formate |
| Chromatography Type: | Reversed phase |
MS:
| MS ID: | MS006755 |
| Analysis ID: | AN007058 |
| Instrument Name: | Agilent 6550 QTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | The Agilent 6550 Q-TOF-MS system was calibrated and tuned following the manufacturer's recommended protocols. High-purity nitrogen (>99.999%) was used as both the sheath gas and drying gas, with flow rates of 8 L/min and 15 L/min, respectively. The drying and sheath gas temperatures were set at 250 °C, and the nebulizer pressure was maintained at 35 psig. Positive ionization mode was employed with a voltage of +3000 V. The fragmentor voltage was set to 180 V. Data acquisition covered a mass range of 40–1200 m/z in the positive all ion fragmentation mode, including 3 sequential experiments at alternating collision energies: one full scan at 0 eV, followed by one MS/MS scan at 10 eV, and then one MS/MS scan at 30 eV. Mzmine was used for feature assignments. |
| Ion Mode: | POSITIVE |
| Analysis Protocol File: | Metabolomics_HILIC_positive_mode_MS.pdf |
| MS ID: | MS006756 |
| Analysis ID: | AN007059 |
| Instrument Name: | Agilent 6550 QTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | The Agilent 6550 Q-TOF-MS system was calibrated and tuned according to the manufacturer’s recommended protocols. Nitrogen (>99.999% purity) was used as both the sheath gas and drying gas, with flow rates of 12 L/min and 15 L/min, respectively. Gas temperatures were set at 250 °C, and the nebulizer pressure was maintained at 40 psig. The instrument voltage was +3000 V in positive mode or -3000 V in negative mode, with the fragmentor voltage fixed at 360 V. Data-dependent acquisition (DDA) mode was used, covering a mass range of 40 to 1200 m/z. Collision energies were set at 20 V for positive mode and 25 V for negative mode. Mzmine was used for feature assignments. |
| Ion Mode: | NEGATIVE |
| Analysis Protocol File: | Lipidomics_negative_mode_MS.pdf |
| MS ID: | MS006757 |
| Analysis ID: | AN007060 |
| Instrument Name: | Agilent 6550 QTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | The Agilent 6550 Q-TOF-MS system was calibrated and tuned according to the manufacturer’s recommended protocols. Nitrogen (>99.999% purity) was used as both the sheath gas and drying gas, with flow rates of 12 L/min and 15 L/min, respectively. Gas temperatures were set at 250 °C, and the nebulizer pressure was maintained at 40 psig. The instrument voltage was +3000 V in positive mode or -3000 V in negative mode, with the fragmentor voltage fixed at 360 V. Data-dependent acquisition (DDA) mode was used, covering a mass range of 40 to 1200 m/z. Collision energies were set at 20 V for positive mode and 25 V for negative mode. Mzmine was used for feature assignments. |
| Ion Mode: | POSITIVE |
| Analysis Protocol File: | Lipidomics_positive_mode_MS.pdf |