| Title | Integrated Metabolomic and Transcriptomic Analysis Reveals Novel Plasma Biomarkers and Metabolic Pathway Dysregulation in Latent Tuberculosis Infection |
|---|---|
| Description | This dataset contains untargeted LC-MS/MS plasma metabolomics data from 166 human participants, including 81 individuals with latent tuberculosis infection (LTBI) and 85 healthy controls. Plasma samples were analyzed using a Shimadzu LC-MS 9030 Q-TOF system in both positive and negative electrospray ionization modes. The study aimed to identify differential metabolites and diagnostic biomarkers associated with LTBI. Raw mass spectrometry data, processed feature tables, and metadata are included. |
| Organism | Homo sapiens |
| Data Type | Metabolome Data by Mass Spectrometry (MS) |
| Data Accessibility | Open-access |
| BioProject | PRJCA058404 |
| Release Date | 2026-02-14 |
| Submitter | Dong Liu (649395940@qq.com) |
| Organization | China Pharmaceutical University |
| Submission Date | 2026-02-12 |
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| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX015166-01 | LTBI plasma - positive mode | 81 | Metabolome Data by Mass Spectrometry (MS) | 684.01 MB | zip | |
| OMIX015166-02 | QC samples - positive mode | 49 | Metabolome Data by Mass Spectrometry (MS) | 330.65 MB | zip | |
| OMIX015166-03 | LTBI plasma - negative mode | 81 | Metabolome Data by Mass Spectrometry (MS) | 543.11 MB | zip | |
| OMIX015166-04 | Blank samples - positive mode | 14 | Metabolome Data by Mass Spectrometry (MS) | 116.8 MB | zip | |
| OMIX015166-05 | HC plasma - negative mode | 85 | Metabolome Data by Mass Spectrometry (MS) | 623.93 MB | zip | |
| OMIX015166-06 | Blank samples - negative mode | 9 | Metabolome Data by Mass Spectrometry (MS) | 57.09 MB | zip | |
| OMIX015166-07 | HC plasma - positive mode | 85 | Metabolome Data by Mass Spectrometry (MS) | 740.31 MB | zip | |
| OMIX015166-08 | QC samples - negative mode | 45 | Metabolome Data by Mass Spectrometry (MS) | 228.09 MB | zip |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Integrated metabolomic and transcriptomic analysis reveals novel plasma biomarkers and metabolic pathway dysregulation in latent tuberculosis infection | Microbiology Spectrum | 2026-03 | OMIX015166 | Deposit |