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MetabolomicsMetabolomics Insights in Early Childhood Caries
Dental caries is characterized by a dysbiotic shift at the biofilm-tooth surface interface, yet comprehensive biochemical characterizations of the biofilm are scant. We used metabolomics to identify biochemical features of the supragingival biofilm associated with early childhood caries (ECC) preval...
2021-01-29 | MTBLS2215 | MetaboLights
MetabolomicsMetabolomic Signature of Early Vascular Aging (EVA) in Hypertension

Arterial stiffening is a hallmark of early vascular aging (EVA) syndrome and an independent predictor of cardiovascular morbidity and mortality. In this case-control study we sought to identify plasma metabolites associated with EVA syndrome in the setting of hypertension. An untargeted metabolom...

2020-01-14 | MTBLS1359 | MetaboLights
MetabolomicsPolymicrobial detection and metabolomics in saliva of children with early childhood caries

Cariogenic microorganisms as well as salivary metabolic status in early childhood caries (ECC) have been reported to differ from that in adult caries. The main aim of this study was to identify specific microbial species and salivary metabolites in children with ECC using species-specific qPCR an...

2024-11-12 | MTBLS10890 | MetaboLights
MetabolomicsAmino Acid Metabolism is Significantly Altered at the Time of Admission in Hospital for Severe COVID-19 Patients: Findings from Longitudinal Targeted Metabolomics Analysis

The heterogeneity in severity and outcome of COVID-19 cases points out the urgent need for early molecular characterization of patients followed by risk-stratified care. The main objective of this study was to evaluate the fluctuations of serum metabolomic profiles of COVID-19 patients with sever...

2022-08-23 | MTBLS3852 | MetaboLights
MetabolomicsMulti-omic analysis of vaginal bacteria:host immune and metabolic interactions in early adverse pregnancy outcomes

Objective

To characterise the vaginal microbiota, mucosal metabolome and host immune response in early pregnancy and investigate its relationship with adverse pregnancy outcomes, including ectopic pregnancy, within the context of pregnancies of unknown location (PUL).

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2025-03-28 | MTBLS10098 | MetaboLights
MetabolomicsMetabotyping Patients' Journeys Reveals Early Predisposition to Lung Injury after Cardiac Surgery
Cardiovascular disease is the leading cause of death worldwide and patients with severe symptoms undergo cardiac surgery. Even after uncomplicated surgeries, some patients experience postoperative complications such as lung injury. We hypothesized that the procedure elicits metabolic activity that c...
2020-05-15 | MTBLS881 | MetaboLights
MetabolomicsElevated lysophosphatidylcholines during SSRI-induced neural differentiation correlate with early neurodevelopmental symptoms

Background: Selective serotonin reuptake inhibitors (SSRIs) are often prescribed during pregnancy. Yet, epidemiological studies link in-utero SSRI exposure with neurodevelopmental disorders, such as autism and ADHD. The potential molecular mechanisms by which SSRIs impact early n...

2026-04-02 | MTBLS12645 | MetaboLights
MetabolomicsSynergistic metabolism of salivary MUC5B in oral commensal bacteria during early biofilm formation

Bacterial metabolism in oral biofilms is comprised of complex networks of nutritional chains and biochemical regulations. These processes involve both intraspecies and interspecies networks as well as interactions with components from host saliva, gingival crevicular fluid, and dietary intake. In...

2023-10-30 | MTBLS8370 | MetaboLights
MetabolomicsCoupled Mass-Spectrometry-Based Lipidomics Machine Learning Approach for Early Detection of Clear Cell Renal Cell Carcinoma

A discovery-based lipid profiling study of serum samples from a cohort that included patients with clear cell Renal Cell Carcinoma (ccRCC) stage I, II, III, and IV (n=112) and controls (n=52) was performed using ultraperformance liquid chromatography coupled to quadrupole-time-of-flight mass spec...

2020-11-20 | MTBLS1839 | 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
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