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MetabolomicsSalivary Multi-omics Characterization and Staging Diagnostic Model for Type 2 Diabetes with Different Stages of Periodontitis

Background: This study aims to comprehensively characterize the dynamic succession of the salivary microbiome and metabolic reprogramming in type 2 diabetes mellitus (T2DM) patients across progressive stages of periodontitis (Stage I–IV) using an integrated multi-omics approach. We specifica...

2026-05-20 | MTBLS13827 | MetaboLights
MetabolomicsColorectal cancer diagnostic model utilizing metagenomic and metabolomic data of stool microbial extracellular vesicles
Not available
ORGANISM(S): Homo sapiens 
ST001307 | MetabolomicsWorkbench
MetabolomicsSerum Proteomic and Metabolomic Profiling of Sepsis Patients Reveals a Diagnostic Model and Mechanistic Insights into Carbapenem-Resistant Klebsiella pneumoniae Infection

Serum Proteomic and Metabolomic Profiling of Sepsis Patients Reveals a Diagnostic Model and Mechanistic Insights into Carbapenem-Resistant Klebsiella pneumoniae Infection

2026-05-18 | MTBLS14016 | 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
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
MetabolomicsDiagnostic utility of clinicodemographic, biochemical and metabolite variables to identify viable pregnancies in a symptomatic cohort during early gestation.

Study question: Can a novel machine learning pipeline create predictive models that identify a composite biomarker to differentiate live normally sited pregnancies (LNSP) from non-viable pregnancies in women presenting with pain and/or bleeding in early gestation?

Summary answer: Serum met...

2025-08-14 | MTBLS6219 | MetaboLights
MetabolomicsBiochemical Profiling of the Brain and Blood Metabolome in a Mouse Model of Prodromal Parkinson’s Disease Reveals Distinct Metabolic Profiles (NMR assay)
Parkinson’s disease is the second most common neurodegenerative disease. In the vast majority of cases the origin is not genetic and the cause is not well understood, although progressive accumulation of α-synuclein aggregates appears central to the pathogenesis. Currently, treatments that slow dise...
2019-02-07 | MTBLS640 | MetaboLights
MetabolomicsBiochemical Profiling of the Brain and Blood Metabolome in a Mouse Model of Prodromal Parkinson’s Disease Reveals Distinct Metabolic Profiles (MS assays)
Parkinson’s disease is the second most common neurodegenerative disease. In the vast majority of cases the origin is not genetic and the cause is not well understood, although progressive accumulation of α-synuclein aggregates appears central to the pathogenesis. Currently, treatments that slow dise...
2019-02-07 | MTBLS674 | MetaboLights
MetabolomicsOrganotypic microfluidic breast cancer model reveals starvation-induced spatial-temporal metabolic adaptations
BACKGROUND: Ductal carcinoma in situ (DCIS) is the earliest stage of breast cancer. During DCIS, tumor cells remain inside the mammary duct, growing under a microenvironment characterized by hypoxia, nutrient starvation, and waste product accumulation; this harsh microenvironment promotes genomic in...
2019-02-08 | MTBLS669 | MetaboLights
MetabolomicsIntegrated Multi-omics Analysis Identifies Diagnostic Biomarkers for Acute Coronary Syndrome in Type 2 Diabetes Mellitus Patients

Biomarkers for the early identification of acute coronary syndrome (ACS) risk remain inadequately investigated, particularly in patients with type 2 diabetes mellitus (T2DM), for whom timely clinical intervention may substantially enhance prognostic outcomes. The gut microbiota and serum metaboli...

2026-03-19 | MTBLS14087 | MetaboLights
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