AIMC Topic: Metabolomics
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Metabolomic biomarkers could be molecular clocks in timing stroke onset.
Scientific reports
Jul 1, 2025
The preferred treatment for acute ischaemic stroke (AIS) is intravenous thrombolysis (IVT) administered within 4.5 hours (h) of symptom onset. This study aimed to identify metabolomic biomarkers for distinguishing AIS patients within 4.5 h of symptom...
A novel UHPLC-HRMS method for simultaneous determination of 20 amino metabolites and proteins in lymphoma patients' cells and serum.
Scientific reports
Jul 1, 2025
Highly sensitive and selective monitoring of amino metabolites such as glutamine, arginine, tryptophan and related proteins played significant roles in early diagnosis and warning of lymphoma. But those limited abundance and lacked chromophore group ...
Uncovering subtype-specific metabolic signatures in breast cancer through multimodal integration, attention-based deep learning, and self-organizing maps.
Scientific reports
Jul 1, 2025
This study integrates multimodal metabolomic data from three platforms-LC-MS, GC-MS, and NMR-to systematically identify biomarkers distinguishing breast cancer subtypes. A feedforward attention-based deep learning model effectively selected 99 signif...
Targeted metabolomics reveals bioactive inflammatory mediators from gut into blood circulation in children with NAFLD.
NPJ biofilms and microbiomes
Jul 1, 2025
Altered gut metabolites are important for the inflammatory progression in children with NAFLD. Fecal and plasma samples were collected from 145 subjects including 53 non-alcoholic fatty liver (NAFL), 39 nonalcoholic steatohepatitis (NASH) and 53 obes...
Evaluation of normalization strategies for mass spectrometry-based multi-omics datasets.
Metabolomics : Official journal of the Metabolomic Society
Jul 1, 2025
INTRODUCTION: Data normalization is crucial for multi-omics integration, reducing systematic errors and maximizing the likelihood of discovering true biological variation. Most studies assess normalization for a single omics type or use datasets from...
Comprehensive statistical and machine learning framework for identification of metabolomic biomarkers in breast cancer.
Metabolomics : Official journal of the Metabolomic Society
Jun 14, 2025
INTRODUCTION: Breast cancer is the most common cancer among women, with its burden increasing over the past decades. Early diagnosis significantly improves survival rates and reduces lethality. Innovative technologies are being developed for early de...
Pan-omics insights into abiotic stress responses: bridging functional genomics and precision crop breeding.
Functional & integrative genomics
Jun 13, 2025
Crop production has been regarded as the major goal of agricultural activities, but the rapidly growing population and climate change have become more complex in the agricultural systems. Abiotic stress greatly affects crop productivity globally; dev...
On Selecting Robust Approaches for Learning Predictive Biomarkers in Metabolomics Data Sets.
Analytical chemistry
Jun 12, 2025
Metabolomics, the study of small molecules within biological systems, offers insights into metabolic processes and, consequently, holds great promise for advancing health outcomes. Biomarker discovery in metabolomics represents a significant challeng...
Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning.
BMC medical informatics and decision making
Jun 3, 2025
BACKGROUND: Fatigue is a prevalent and debilitating symptom of non-communicable diseases (NCDs); however, its biological basis are not well-defined. This exploratory study aimed to identify key biological drivers of fatigue by integrating metabolomic...
Multiomics in Renal Cell Carcinoma: Current Landscape and Future Directions for Precision Medicine.
Current urology reports
May 26, 2025
PURPOSE OF REVIEW: Renal cell carcinoma (RCC) is a prevalent and increasingly diagnosed malignancy associated with high mortality and recurrence rates. Traditional diagnostic and therapeutic approaches have limitations due to the disease's molecular ...
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