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MetabolomicsLC-HRMS Metabolomics for Untargeted Diagnostic Screening in Clinical Laboratories: A Feasibility Study
Today's high-resolution mass spectrometers (HRMS) allow bioanalysts to perform untargeted/global determinations that can reveal unexpected compounds or concentrations in a patient’s sample. This could be performed for preliminary diagnosis attempts when usual diagnostic processes and targeted ...
2019-06-06 | MTBLS476 | MetaboLights
MetabolomicsDiagnostic metabolite biomarkers of chronic typhoid carriage
Background: Salmonella Typhi and Salmonella Paratyphi A are the agents of enteric (typhoid) fever; both can establish chronic carriage in the gallbladder. Chronic Salmonella carriers are typically asymptomatic, intermittently shedding bacteria in the feces, and contributing to disease transmission. ...
2018-01-17 | MTBLS579 | MetaboLights
MetabolomicsNon-invasive urinary metabolomic profiling identifies diagnostic and prognostic markers in lung cancer
Lung cancer remains the most common cause of cancer deaths worldwide, yet there is currently a lack of diagnostic noninvasive biomarkers that could guide treatment decisions. Small molecules (<1500 Da) were measured in urine collected from 469 lung cancer patients and 536 population controls using u...
2014-05-06 | MTBLS28 | MetaboLights
MetabolomicsUrinary multi-omics reveal non-invasive diagnostic biomarkers in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is the most common kidney malignancy. Yet, no rapid, non-invasive biomarkers are available for diagnosis or screening. Urine represents an ideal analyte matrix due to its accessibility, low invasiveness, longitudinal sampling and the kidney’s central role i...

2026-08-16 | MTBLS12025 | MetaboLights
MetabolomicsNovel Potential Diagnostic Serum Biomarkers of Metabolomics in Osteoarticular Tuberculosis Patients: A Preliminary Study

Osteoarticular tuberculosis is one of the extrapulmonary tuberculosis, which is mainly caused by direct infection of Mycobacterium tuberculosis or secondary infection of tuberculosis in other parts. Due to the low specificity of the current detection method, it is leading to a high misdi...

2022-04-08 | MTBLS4187 | MetaboLights
MetabolomicsLipid metabolites as potential diagnostic and prognostic biomarkers for acute community acquired pneumonia
Early diagnosis of acute community-acquired pneumonia (CAP) is important in patient triage and treatment decisions. To identify biomarkers that distinguish patients with CAP from non-CAP controls, we conducted an untargeted global metabolome analysis for plasma samples from142 patients with CAP (CAP...
2016-08-11 | MTBLS354 | MetaboLights
MetabolomicsUrinary multi-omics reveal non-invasive diagnostic biomarkers in clear cell renal cell carcinoma (Lipidomics)

Clear cell renal cell carcinoma (ccRCC) is the most common kidney malignancy. Yet, no rapid, non-invasive biomarkers are available for diagnosis or screening. Urine represents an ideal analyte matrix due to its accessibility, low invasiveness, longitudinal sampling and the kidney’s central role i...

2026-07-15 | MTBLS14671 | MetaboLights
MetabolomicsIntegrated Multi-Omics Analysis of Dampness-Heat Gout Reveals Diagnostic Biomarkers and Therapeutic Targets

Damp-heat gout (DHG) is a clinically recognized subtype of gout characterized by a specific syndrome in traditional Chinese medicine (TCM). However, its pathomechanism remains unclear, and there is a lack of quantifiable indicators for accurate clinical diagnosis and treatment. This study aimed t...

2026-02-04 | MTBLS12820 | MetaboLights
MetabolomicsExtension of Diagnostic Fragmentation Filtering for Automated Discovery in DNA Adductomics
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ORGANISM(S): - 
ST001661 | MetabolomicsWorkbench
MetabolomicsMetabolic signatures and diagnostic models of ischemic stroke and its hypertensive subtype:a non-targeted metabolomics and machine learning
Ischemic stroke (IS) is a leading cause of death and disability worldwide, yet reliable early diagnostic biomarkers remain lacking. This study employed non-targeted metabolomics and machine learning to characterize metabolic profiles and identify diagnostic biomarkers for IS.
2026-09-17 | MTBLS15660 | MetaboLights
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