Articles tagged with Metabolomics
Researchers have identified a unique chemical signature for the ripening of mangoes, allowing for non-destructive assessment of fruit maturity. The discovery has potential applications in developing small devices to detect fruit ripeness, reducing waste and improving market efficiency.
Researchers used human and environmental samples to analyze microbiome and metabolome data, reporting conclusions in 48 hours. The study found that fermented food molecules influenced the chemical environments of people consuming them.
A machine learning breakthrough enables fast and accurate measurement of metabolic profiles from biofluid samples, revolutionizing predictive medical screening. This technology accelerates the development of diagnostic tests for various diseases, potentially years before symptoms appear.
LCSB researchers analyzed metabolite signatures from hundreds of biomolecules in different brain regions, revealing a specific functional state of nerve cells. The study used an interdisciplinary approach and machine learning to derive metabolic profiles, which may offer new therapeutic opportunities for neurodegenerative diseases.
A UK-China consortium, funded by the BBSRC, will host training workshops to support scientists in managing and sharing their metabolomics data and analyses. The partnership, involving EMBL-EBI, universities, and GigaScience, aims to improve data sharing in metabolomics, promoting better quality data and efficient research.
Researchers discovered a metabolic link between bacterial biofilms and colon cancer, finding that removing biofilms could be a key strategy for preventing and treating the disease. The study also identified an apparent metabolic marker of biofilm-associated colon cancers, which may help diagnose early-stage cancer.
The ACMG Foundation presents the first recipient of the David L. Rimoin Inspiring Excellence Award to Dr. Marcus Miller for his platform presentation on Metabolomic Analysis Uncovers Significant Trimethylamine N-oxide Production. The award supports research in metabolomics and human genetic disorders.
Diatoms display a special way of reacting to light and adapting their metabolism to the changing light conditions. By controlling the activity of enzymes in the metabolism, researchers have found that blue and red light sensing photoreceptors can drastically reverse the carbon allocation pattern in diatoms.
A new theory proposes that stimulating mitochondrial function and superoxide production can improve markers of renal, cardiovascular, and nerve dysfunction in diabetes. This approach may help promote tissue healing and is linked to improved outcomes for diabetic kidney disease.
A new scientific blood analysis uses biomarkers and NMR spectroscopy to predict short-term mortality in the next five years. The study found that biomarker concentrations are crucial for normal metabolism, regardless of known risk factors.
Scientists from Helmholtz Zentrum Muenchen discovered new associations between two major Type 2 diabetes risk genotypes and altered plasma concentrations of metabolic products. The study, published in PLOS ONE and Metabolomics, reveals specific metabolic effects, particularly for the TCF7L2 genotype.
Researchers at the University of Alberta have identified over 3,000 chemicals in human urine, expanding the list from just 50-100 previously known compounds. This discovery is expected to revolutionize medical testing, enabling fast, cheap, and painless tests using urine instead of blood or tissue biopsies.
A new study has identified four metabolites that can be used to accurately predict mortality in intensive care unit (ICU) patients. The researchers analyzed plasma samples from 90 ICU patients and found that levels of lactate, mannose, gamma-glutamyltyrosine, and stearidonate were associated with high mortality rates.
A new research study from Georgia Aquarium and Georgia Institute of Technology found that homarine is a useful biomarker for the health status of whale sharks, with metabolic profiles differing between healthy and unhealthy individuals. The study also identified over 25 other compounds that differed in concentration based on health.
Bioengineers from UC San Diego are playing a key role in the NIH's new metabolomics program, which aims to accelerate diagnosis and disease treatment. The project will analyze millions of microorganisms living within the human body, providing insights into their role in health and disease.
The new center will use over 30 mass spectrometers to analyze thousands of molecules in cells, identifying environmental triggers for diseases like childhood diabetes. Metabolomics research also aims to develop personalized treatments by understanding how patients respond to different doses of medication.
Scientists from Scripps Research Institute have discovered dimethylsphingosine (DMS), a molecule produced at abnormally high levels in the spinal cords of rats with neuropathic pain, which appears to cause pain when injected. Inhibiting DMS production may be a fruitful target for drug development.
A study published in the Journal of Thoracic Oncology found that a breath test using Metabolomx's colorimetric sensor array can detect lung cancer and differentiate between its types with high accuracy. The test shows promise as a non-invasive, rapid, and inexpensive companion diagnostic for early lung cancer detection.
Researchers identified 37 previously unknown genetic risk loci associated with complex common diseases and elucidated their effect on human metabolism. The study provides a comprehensive evaluation of genetic variance in human metabolism, combining genome-wide association studies and metabolomics.
Researchers analyzed metabolites in blood and urine of smokers and non-smokers to understand how tobacco smoke affects human biology. The study found that nicotine-related metabolites varied among smokers, with overall metabolomic profiles differing between male and female individuals.
Researchers used gas chromatography/mass spectrometry (GC/MS) technology to study urinary metabolite changes in mice with gastric cancer. The study identified low molecular weight biomarkers that may play a significant role in early diagnosis and screening of metastasis or recurrence.
A study by Georgetown Lombardi Comprehensive Cancer Center researchers found activation of pathways involved in cell death, inflammation, and systemic damage in smokers. The analysis revealed hallmarks of liver, heart, and kidney toxicity in healthy patients, paving the way for new blood tests to assess tobacco product harm.
Researchers at Yale University developed a non-invasive test to assess embryo viability for IVF, based on metabolomic profiling of spent embryo cultures. The study found that this approach affected pregnancy outcomes in women treated in Europe and Australia.
A genome-wide association study reveals genetic variants influencing metabolic capacity, affecting disease susceptibility. The study identifies four SNPs associated with variations in polyunsaturated fatty acid synthesis and breakdown of triglycerides.
A Finland research group investigated the effect of a three weeks probiotic LGG intervention on serum global lipidomics profiles in healthy adults. The result showed decreases in certain lipids and increases in triacylglycerols.
Researchers used metabolomics to identify groups of relevant biomarkers of disease in healthy and diabetic mice. The study found that the ratios between certain metabolite concentrations were more informative than their absolute concentrations.
A reliable blood test for Parkinson's disease could revolutionize care and research, according to a new study. The test uses a 'metabolomic profile' to identify unique changes in dozens of small molecules in serum that are linked to the disease.
Researchers at Duke University Medical Center developed a new test that analyzes blood metabolites to identify genetic predispositions to coronary artery disease. The study found strong heritabilities in certain metabolites, suggesting the potential to detect people at risk of developing the disease at an early age.
A study published in American Journal of Obstetrics and Gynecology reveals that metabolic profiling can accurately identify patients at risk for preterm delivery. The method has shown a high degree of accuracy in identifying patients across different clinical groups, offering new hope for predicting the course of preterm labor.
Researchers at VBI are developing software to integrate metabolomics data with gene expression and proteomics, enabling scientists to pinpoint the exact function of genes and proteins. The collaboration with Phenomenome aims to create a global understanding of biological systems from a dynamic perspective.