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MetabolomicsMulti-0mics and Machine Learning-Based Profiling of Severity signatures in Mycoplasma Pneumoniae Infection in children

Mycoplasma pneumoniae pneumonia (MPP) is a common respiratory infection in children. Yet the mechanisms driving its progression to severe disease remain poorly understood. This study employs a comprehensive proteomic and metabolomic approach to elucidate severity-related pathways and identify pot...

2026-01-04 | MTBLS13511 | MetaboLights
MetabolomicsValidation: Multi-Omics and Machine Learning-Based Profiling of Severity Signatures in Mycoplasma Pneumoniae Infection in Children

Mycoplasma pneumoniae pneumonia (MPP) is a common respiratory infection in children, yet the mechanisms driving its progression to severe disease remain poorly understood. This study employs a comprehensive proteomic and metabolomic approach to elucidate severity-related pathways and identify pot...

2026-01-05 | MTBLS13504 | MetaboLights
MetabolomicsPlasma metabolomic signatures of COPD: A metabolomic severity score for airflow obstruction and emphysema.
Not available
ORGANISM(S): Homo sapiens 
ST002089 | MetabolomicsWorkbench
MetabolomicsIntegrated metabolic and inflammatory signatures associated with severity, fatality, and recovery of COVID-19
Not available
ORGANISM(S): Homo sapiens 
ST002291 | MetabolomicsWorkbench
MetabolomicsPlasma Metabolomic signatures of COPD in a SPIROMICS cohort: A metabolomic severity score for airflow obstructions and emphysema
Not available
ORGANISM(S): Homo sapiens 
ST002088 | MetabolomicsWorkbench
MetabolomicsA Cross-Platform Metabolomics Comparison Identifies Serum Metabolite Signatures of Liver Fibrosis Progression in Chronic Hepatitis C Patients
Metabolomics offers new insights into disease mechanisms that is enhanced when adopting orthogonal instrumental platforms to expand metabolome coverage, while also reducing false discoveries by independent replication. Herein, we report the first inter-method comparison when using multisegment injec...
2023-08-22 | MTBLS3111 | MetaboLights
ProteomicsMulti-Omics and Machine Learning-Based Profiling of Severity Signatures in Mycoplasma Pneumoniae Infection in Children
Mycoplasma pneumoniae pneumonia (MPP) is a common respiratory infection in children, yet the mechanisms driving its progression to severe disease remain poorly understood. This study employs a comprehensive proteomic and metabolomic approach to elucidate severity-related pathways and identify potent...
ORGANISM(S): Mycoplasma pneumoniae (strain ATCC 29342 / M129) 
2025-12-12 | PXD071661 | Pride
Machine learning Pediatrics infection Mycoplasma pneumoniae Multi-omics Severity signatures 
GenomicsPredicting severity in COVID-19 disease using sepsis blood gene expression signatures
Predicting severity in COVID-19 disease using sepsis blood gene expression signatures
PRJNA913576 | ENA
GenomicsPredicting sepsis severity at first clinical presentation: the role of endotypes and mechanistic signatures
Predicting sepsis severity at first clinical presentation: the role of endotypes and mechanistic signatures
PRJNA768419 | ENA
GenomicsImmunological Signatures Driving COVID-19 Severity in Ghanaians: Insights from Upper Airway Transcriptome Analysis
Immunological Signatures Driving COVID-19 Severity in Ghanaians: Insights from Upper Airway Transcriptome Analysis
PRJNA891262 | ENA
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