TB or not TB? Improving the Understanding and Diagnosis of Tuberculosis through Metabolomics

Loots, Du Toit

doi:10.2217/bmm-2016-0206

Cited by 7 publications

(2 citation statements)

References 18 publications

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“…12−14 Simultaneously, blood was unquestionably the most easily accessible biofluid in humans; the rapid development of omics technology has also further promoted the process of screening for potential biomarkers related to tuberculosis in the blood. 15,16 Critical blood components, such as PBMC, have been shown to be critical in the identification, control, and clearance of M. tuberculosis. 17 Recent years have seen a series of research in the field of tuberculosis studies focusing on the disease's biomarkers, a practical approach to identify novel TB biomarkers, and a comprehensive understanding of the effects of M. tuberculosis infection on the host defense through genomewide analysis of changes in transcript abundance in blood between health and disease.…”

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confidence: 99%

“…tuberculosis infection or its clearance, which establishes whether the person is healthy or ill . Blood stores a history of the immune system; whole blood transcriptome analysis has provided scientists with a powerful tool for determining key factors in the pathophysiology of tuberculosis. − Simultaneously, blood was unquestionably the most easily accessible biofluid in humans; the rapid development of omics technology has also further promoted the process of screening for potential biomarkers related to tuberculosis in the blood. , Critical blood components, such as PBMC, have been shown to be critical in the identification, control, and clearance of M. tuberculosis .…”

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confidence: 99%

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Cost-Effective Whole Transcriptome Sequencing Landscape and Diagnostic Potential Biomarkers in Active Tuberculosis

Sun,

He,

Yang

et al. 2024

ACS Infect. Dis.

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Tuberculosis (TB) is a prevalent and severe infectious disease that poses a significant threat to human health. However, it is frequently disregarded as there are not enough quick and accurate ways to diagnose tuberculosis. Here, we develop a strategy for tuberculosis detection to address the challenges, including an experimental strategy, namely, Double Adapter Directional Capture sequencing (DADCSeq), an easily operated and low-cost whole transcriptome sequencing method, and a computational method to identify hub differentially expressed genes as well as the diagnosis of TB based on whole transcriptome data using DADCSeq on peripheral blood mononuclear cells (PBMCs) from active TB and latent TB or healthy control. Applying our approach to create a robust and stable TB multi-mRNA risk probability model (TBMMRP) that can accurately distinguish active and latent TB patients, including active TB and healthy controls in clinical cohorts, this diagnostic biomarker was successfully validated by several independent cross-platform cohorts with favorable performance in differentiating active TB from latent TB or active TB from healthy controls and further demonstrated superior or similar diagnostic accuracy compared to previous diagnostic markers. Overall, we develop a low-cost and effective strategy for tuberculosis diagnosis; as the clinical cohort increases, we can expand to different disease kinds and learn new features through our disease diagnosis strategy.

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confidence: 99%

mentioning

confidence: 99%

Cost-Effective Whole Transcriptome Sequencing Landscape and Diagnostic Potential Biomarkers in Active Tuberculosis

Sun,

He,

Yang

et al. 2024

ACS Infect. Dis.

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Mass spectrometry‐based metabolomics for the investigation of antibiotic–bacterial interactions

Lv,

Gao,

et al. 2024

Mass Spectrometry Reviews

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With the development of analytical technologies especially mass spectrometry, metabolomics is becoming increasingly hot in the field of studying antibiotic‐bacterial interactions. On the one hand, metabolomics can reveal metabolic perturbations in bacteria in the presence of antibiotics and expose metabolic mechanisms. On the other hand, through in‐depth analysis of bacterial metabolic profiles, biomarkers and bioactive secondary metabolites with great potential as drug precursors can be discovered. This review focuses on the experimental workflow of bacterial metabolomics and its application to study the interaction between bacteria and antibiotics. Metabolomics improves the understanding of antibiotic lethality, reveals metabolic perturbations in antibiotic‐resistant bacteria, guides the diagnosis and antibiotic treatment of infectious diseases, and aids in the exploration of antibacterial metabolites in nature. Furthermore, current limitations and directions for future developments in this area are discussed.

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Use of Liquid Chromatography–Mass Spectrometry-Based Metabolomics to Identify Biomarkers of Tuberculosis

Zhou

Yin

2018

Methods in Molecular Biology

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TB or not TB? Improving the Understanding and Diagnosis of Tuberculosis through Metabolomics

Cited by 7 publications

References 18 publications

Cost-Effective Whole Transcriptome Sequencing Landscape and Diagnostic Potential Biomarkers in Active Tuberculosis

Cost-Effective Whole Transcriptome Sequencing Landscape and Diagnostic Potential Biomarkers in Active Tuberculosis

Mass spectrometry‐based metabolomics for the investigation of antibiotic–bacterial interactions

Use of Liquid Chromatography–Mass Spectrometry-Based Metabolomics to Identify Biomarkers of Tuberculosis

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