Summary of Study ST002428

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 PR001562. The data can be accessed directly via it's Project DOI: 10.21228/M8SM54 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.

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Study IDST002428
Study TitleMass Spectrometry-based Proteomic and Metabolomic profiling of serum samples for discovery and validation of Tuberculosis diagnostic biomarker signature
Study SummaryTuberculosis (TB) is a transmissible disease listed as one of the 10 leading causes of death worldwide (10 million infected in 2019). A swift and precise diagnosis is essential to forestall its transmission, for which is crucial the discovery of effective diagnostic biomarkers. In this study, we aimed to discover molecular biomarkers for the early diagnosis of tuberculosis. Two independent cohorts comprising 29 and 34 subjects were assayed by proteomics, and 49 were included for metabolomic analysis. All subjects were arranged into 3 experimental groups – healthy controls (Controls), Latent TB infection (LTBI) and TB patients. LC-MS/MS blood serum protein and metabolite levels were submitted to univariate, multivariate and ROC analysis. From the 149 proteins quantified in the discovery set, 25 were found to be differentially abundant between Controls and TB patients. The AUC, specificity and sensitivity, determined by ROC statistical analysis of the model composed by four of these proteins considering both proteomic sets, were 0.96; 93% and 91%, respectively. The five metabolites (9-methyluric acid, indole-3-lactic acid, trans-3-indoleacrylic acid, hexanoylglycine and N-acetyl-L-leucine) that better discriminate the control and TB patient groups (VIP > 1.75) from a total of 92 metabolites quantified in both ionization modes, were submitted to ROC analysis. An AUC=1 was determined with all samples being correctly assigned to the respective experimental group. An integrated ROC analysis enrolling 1 protein and 4 metabolites was also performed for the common control and TB patients in the proteomic and metabolomic groups. This combined signature has correctly assigned the 12 controls and 12 patients used only for prediction (AUC=1, specificity=100% and sensitivity=100%). This multi-omics approach has revealed a biomarker signature for tuberculosis diagnosis that could be potentially used for developing a point-of-care diagnosis clinical test.
Institute
ITQB NOVA
LaboratoryProteomics of Non-Model Organisms
Last NameGonçalves
First NameLuís
AddressAvenida Republica
Emaillgafeira@itqb.unl.pt
Phone214469464
Submit Date2022-10-04
Num Groups3
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailLC-MS
Release Date2023-01-20
Release Version1
Luís Gonçalves Luís Gonçalves
https://dx.doi.org/10.21228/M8SM54
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Factors:

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

mb_sample_id local_sample_id Label
SA242795C47Controls
SA242796C46Controls
SA242797C45Controls
SA242798C49Controls
SA242799C51Controls
SA242800C4Controls
SA242801C53Controls
SA242802C40Controls
SA242803C38Controls
SA242804C8Controls
SA242805C7Controls
SA242806C5Controls
SA242807C9Controls
SA242808C16Controls
SA242809C37Controls
SA242810C31Controls
SA242811C25Controls
SA242812C21Controls
SA242813DE55LTBI
SA242814CE57LTBI
SA242815C28LTBI
SA242816CE55LTBI
SA242817C30LTBI
SA242818CE54LTBI
SA242819DE10TB
SA242820DE5TB
SA242821D58TB
SA242822D56TB
SA242823DE11TB
SA242824D59TB
SA242825DE51TB
SA242826D28TB
SA242827DE53TB
SA242828DE54TB
SA242829DE52TB
SA242830DE12TB
SA242831D11TB
SA242832D15TB
SA242833D16TB
SA242834D13TB
SA242835D12TB
SA242836D10TB
SA242837D19TB
SA242838D20TB
SA242839D25TB
SA242840D26TB
SA242841D23TB
SA242842D22TB
SA242843D21TB
SA242844D27TB
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