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MetabolomicsA longitudinal ¹H NMR-based urinary metabolomics dataset in a birth cohort for childhood atopic diseases

This dataset presents longitudinal urinary metabolomic profiles from 198 children at 1 month, 6 months, 1 year, 3 years and 5 years. It includes demographic data, feeding practices, parental atopy, household income and atopic disease status over time. Total and allergen-specific IgE (mite, egg, c...

2025-07-28 | MTBLS12785 | MetaboLights
MetabolomicsLarge-scale non-targeted plasma metabolomics in the Uppsala Longitudinal Study of Adult Men
The Uppsala Longitudinal Study of Adult Men (ULSAM) study is an ongoing, longitudinal, epidemiologic study started in 1970 and based on men born between 1920 and 1924 in Uppsala, Sweden which were invited to participate at age 50 (N=2,841) [PMID: 9484991]; 81.7% (N=2,322) participated. Individuals w...
2015-03-23 | MTBLS124 | MetaboLights
MetabolomicsLongitudinal multi-omics reveals subset-specific mechanisms underlying irritable bowel syndrome

The gut microbiome has been implicated in multiple human chronic gastrointestinal (GI) disorders. Determining its mechanistic role in disease has been difficult due to apparent disconnects between animal and human studies and lack of an integrated multi-omics view of disease-specific physiologica...

2020-09-08 | MTBLS1396 | 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
MetabolomicsMetabolomic profiling of baseline plasmas from a longitudinal prospective cohort of 491 active surveillance (AS) participants
Not available
ORGANISM(S): Homo sapiens 
ST001408 | MetabolomicsWorkbench
MetabolomicsA Multi-omics Longitudinal Study Reveals Alteration of the Leukocyte Activation Pathway in COVID-19 Patients
Severe coronavirus disease 2019 (COVID-19) infection may lead to lung injury, multi-organ failure, and eventually death. Cytokine storm due to excess cytokine production has been associated with fatality in severe infections. However, the specific molecular signatures associated with the elevated im...
2022-01-18 | MTBLS2469 | MetaboLights
MetabolomicsMetabolomics biomarkers of hepatocellular carcinoma in a prospective cohort of patients with cirrhosis

BACKGROUND & AIMS: The effectiveness of surveillance for hepatocellular carcinoma (HCC) in patients with cirrhosis is limited, due to inadequate risk stratification and suboptimal performance of current screening modalities.

METHODS: We developed a mult...

2024-05-09 | MTBLS8764 | MetaboLights
MetabolomicsBiomonitoring of mycotoxins and exposomics-informed profiling in extreme preterm infants from the NeoVIP cohort

Extremely premature infants are a highly vulnerable patient group that might be exposed to a vast number of dietary and environmental contaminants, which may impact their health trajectories. This study assessed xenobiotic exposures in 26 extremely premature infants, with a special focus on dieta...

2026-06-23 | MTBLS14832 | MetaboLights
MetabolomicsPessary Therapy Restores Vaginal Microbiome Homeostasis in Severe Pelvic Organ Prolapse: A Longitudinal Metagenomic and Metabolic Analysis
Pelvic organ prolapse (POP), affecting up to 50% of elderly women, disrupts vaginal microbial homeostasis, yet the impact of first-line pessary therapy on microbiome dynamics remains poorly characterized. This prospective cohort study employed metagenomic sequencing and clinical metrics to longitudi...
2025-07-16 | MTBLS12722 | MetaboLights
MetabolomicsEarly-life skin molecular signatures are predictive of atopic dermatitis risk in an Asian preconception birth cohort
Rationale: Early identification of infants at risk for atopic dermatitis (AD) is critical for timely prevention, yet robust preclinical biomarkers remain elusive. We characterized the longitudinal evolution of the skin microbiome, metabolome, and proteome to identify molecular signatures predictive ...
2026-10-05 | MTBLS14496 | MetaboLights
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