Articles tagged with Metabolomics
Researchers investigated two common soluble fibers, arabinoxylan and long-chain inulin, on human physiology. They found that AX reduced LDL cholesterol, while LCI decreased inflammation markers and increased beneficial gut microbes, but high doses of inulin caused negative effects.
A new study published in Diabetologia found that healthy plant-based diets, including fruits, vegetables, and legumes, are linked to a lower risk of developing type 2 diabetes. The study analyzed metabolite profiles and diet indices from over 10,684 participants, revealing unique multi-metabolite profiles associated with healthy plant-...
Researchers have successfully rejuvenated mouse organs through cellular reprogramming, improving their health and potential applications for cell therapy. The study identified key changes in metabolism, gene expression, and DNA status during aging, which are partially reversed by reprogramming.
A new app called Metaboseek has been developed to streamline the analysis of comparative metabolomics data, helping researchers identify valuable compounds. The app was created by a postdoctoral research associate and is now essential to his lab's work.
Researchers identified three NAFLD subtypes with unique lipidomic profiles and varying cardiovascular disease risk. Subtype A shows a lower CVD risk profile, differing from other subtypes, which may explain variation in hepatic versus cardiovascular outcomes.
A metabolomic study of 14,000 individuals with asthma found that inhaled corticosteroid therapy leads to adrenal suppression, characterized by fatigue, headache, and abdominal pain. The study suggests that monitoring cortisol levels and prescribing the lowest effective dose may help mitigate side effects.
Researchers found that long-term daily cocoa consumption didn't improve exercise-induced digestive issues in male athletes. Only minor changes to their gut microbiomes were observed, indicating cocoa is not an effective exercise supplement.
A study reveals that changes in gut microbiota and metabolome are associated with cardiovascular disease development, particularly coronary heart disease. The research found that alterations in the gut microbiome occur long before the onset of heart disease, suggesting a potential role for the microbiome in its early pathogenesis.
Researchers at the Max Planck Institute for Chemical Ecology identified a chemical substance responsible for the resistance of Nicotiana attenuata plants to sucking leafhoppers. The study used field research, molecular biology and chemical analyses to uncover a new defense mechanism in tobacco plants.
Researchers at University of Illinois Chicago identified changes in the gut microbiome that can lead to gestational diabetes. They found a specific metabolite, kynurenine, that is increased during pregnancy and contributes to insulin resistance.
Researchers devised a novel approach to unify quality assessment of generic drugs developed through different processes. The 'population pharmaceutical quality assessment' method uses computational modeling to evaluate process information, providing a scientific tool for objective quality consistency evaluation.
A predictive model based on magnetic resonance spectroscopy can detect lung cancer from alterations in blood metabolites, allowing for early-stage screening and potentially improving survival rates. The study screened tens of thousands of blood specimens and found accurate predictions using values from prior-to-diagnosis blood samples.
A study published in Molecular Nutrition & Food Research found a significant association between dietary polyphenols from plant-based foods and reduced cognitive impairment risk. The research analyzed the metabolism of dietary components, intestinal microbiota, and endogenous metabolism in relation to cognitive decline.
A study in young psychiatric outpatients with episodic or chronic depression found differences in one-carbon and energy metabolism, which could aid in diagnosis and targeted treatments. The preliminary results suggest potential mechanisms behind chronicity, highlighting the need for larger cohorts to confirm findings.
Researchers created the largest metabolome analysis of the mouse brain, revealing distinct chemical conversions between brain regions. Aging mice showed significant metabolic differences in brain sections, with lipids playing a crucial role in changes to brain function.
A new analysis platform developed by Ohio State University scientists combines genetics and phytochemical data to improve the health benefits of apples. The platform has potential to reduce breeding time and enable data-driven assessments of how to boost apple nutrition.
A novel screening method using untargeted metabolomics profiling can improve the diagnostic rate for inborn errors of metabolism in newborns, identifying many more disorders than traditional methods. This approach offers a faster, more efficient, and less expensive diagnostic journey for individuals with rare metabolic disorders.
A Duke University research team used metabolomics to compare the nutritional content of plant-based meat alternatives and grass-fed beef, finding large differences despite comparable nutrition facts labels. The study highlights the need for consumers to understand that these products are not nutritionally interchangeable.
A prospective study analyzing plasma metabolomics during general anesthesia in patients with pancreatic malignancy reveals perioperative tryptophan depletion and increased taurine synthesis. This finding has implications for personalized perioperative management and may identify therapeutic windows for immunotherapy or chemotherapy.
New research shows that higher levels of ultra-processed food in childhood are associated with an increased risk of childhood obesity, as well as alterations in the metabolome. The study found that a diet high in ultra-processed foods is negatively associated with certain biomarkers, such as docosahexaenoic acid and omega-3 fatty acids.
A new NIH grant will support advanced statistical models for analyzing large-scale metabolomics data sources, aiming to better understand the links between metabolic action and chronic health conditions.
Researchers discovered specific metabolites that can distinguish COVID-19 patients from healthy participants and predict disease severity. Dietary supplements targeting these metabolites may also boost biochemical pathways, leading to improved health outcomes.
A study of fruit flies has found that analyzing small molecules involved in cell metabolism can help understand how calorie-restricted diets affect aging and lifespan. The research identified several genes linked to changes in metabolite levels, shedding light on the complex interplay between genetics, environment, and diet.
A study by Baylor College of Medicine researchers integrates whole-exome sequencing with untargeted metabolomics to identify genetic causes of undiagnosed conditions. The integrated analysis informed 44% of cases, reclassifying variants as likely benign or disease-causing and confirming clinical diagnoses in 21 cases.
A Kobe University research team developed a method to produce high rates of D-lactate using cyanobacteria, which could lead to the creation of biodegradable plastics. The team used genetic engineering and dynamic metabolomics to optimize D-lactate production, achieving a rate of 26.6g/L from CO2 and light.
Researchers compared Lisbon lemon and Washington Navel orange trees using metabolomics and microbiome technologies to understand HLB's impact on root systems. The study found differences in metabolite levels and beneficial bacteria between the two varieties, which may inform preventative and treatment measures.
Researchers at Clemson University's Center for Human Genetics have identified hundreds of metabolites that may serve as indicators for disease. The study found correlations between genetic variation, metabolite levels, and specific traits, such as stress resistance and aggression.
A researcher at OU Medicine is studying ways to predict who will get diabetes, so that physicians can intervene earlier. She aims to understand how a person's genetic makeup interacts with lifestyle factors like poor diet and lack of exercise to lead to diabetes.
Researchers have successfully stored and retrieved kilobyte-scale image files using artificial metabolomes, demonstrating a proof-of-concept for wider ranges of molecule-based data storage. The study's findings suggest that small molecules can store more information density than DNA and offer potential for in-solution computations.
Scientists have successfully encoded and decoded digital images using metabolites, demonstrating a potential alternative to microchips for data storage. The study achieves an accuracy rate of 98-99.5%, encoding over 100,000 bits of information into synthetic metabolomes.
The Estee Lauder Companies presents new findings on skin metabolomics, including circadian rhythm changes and the role of autophagy in inflammation. Research also explores post-inflammatory hyperpigmentation and the development of anti-acne treatments.
Researchers at the University of Arizona have discovered a 'metabolic fingerprint' that distinguishes patients with cervical cancer from healthy women. The study identified three compounds that distinguish cervical cancer patients from healthy women, showing promise for future diagnostics, interventions or therapies.
Researchers identified 27 new metabolites associated with arterial stiffness in a large study of over 1,200 participants. The study found that certain lifestyle factors, including coffee drinking and Southern foods, were linked to increased levels of these metabolites.
Researchers developed a new screening approach that combines DNA sequencing and metabolomics to identify mutant genes causing rare genetic diseases in children. The technique helped pinpoint the gene responsible for a specific disease, enabling faster diagnosis and potential treatment.
Researchers developed a computational mass-spectrometry system that identified thousands of plant metabolites, including previously unknown compounds with medicinal properties. The new method provides 10 times the coverage of previous methods and has applications in drug discovery and understanding plant physiology.
Researchers at Montana State University are studying Familial dysautonomia, a rare genetic neurological disease, to understand its connection with the human gut microbiome and metabolism. The study aims to develop new treatments for neurodegenerative diseases like Alzheimer's and Parkinson's.
Researchers developed a new method to use metabolites to predict diabetes and cardiovascular disease risk in people with obesity. The study analyzed over 2,400 participants and found that specific molecular signatures could identify individuals at higher risk of developing these diseases.
A recent study uses metabolome analysis to identify a link between metabolite changes and weight, revealing that genetics don't correlate closely with obesity. The research suggests new ways to measure obesity and health risks beyond traditional BMI measures.
A new biomarker panel identified in a large metabolomic study could accelerate autism diagnoses, detecting around 17 percent of children with ASD. The panel analyzes amino acid metabolism and shows promise for developing an ASD biomarker test.
Next-generation metabolomics may facilitate the discovery of new antidepressants by providing broader coverage and higher resolution than traditional methods. The technique has demonstrated great potential in accelerating pharmaceutical R&D, particularly for natural products like albiflorin, a promising multi-target drug candidate.
Researchers discovered that increasing cyanobacteria growth temperature boosts succinate production by 7.5 times, thanks to genetic engineering and dynamic metabolome analysis. The study uses Synechocystis sp. PCC 6803 as a model organism to develop more efficient metabolic pathways.
Metabolomics offers a unique opportunity to examine genotype-phenotype and genotype-environment relationships in cancer patients. By analyzing metabolic profiles, researchers can identify specific signatures that predict pharmacological responses to treatments.
Scientists at Scripps Research Institute found that taurine helps spark a process called remyelination, crucial for repairing nerve cells damaged in multiple sclerosis. Combining taurine with existing MS drugs and future remyelination-inducing treatments may improve overall efficacy.
Researchers discovered anthranilic acid as a circulating compound associated with the risk of developing dementia and Alzheimer's disease. The study identified promising findings in new biological pathways and potential drug targets for prevention.
Bekzod Khakimov, a promising young researcher from the University of Copenhagen, has received the first Nils Foss Talent Prize. His work focuses on metabolomics, using Gas Chromatography-Mass spectrometry to improve data analysis and reproducibility.
Researchers used a new approach to measure metabolic diversity in various plant tissues, revealing distinct profiles for each tissue. The study identified specific genes regulating the biosynthesis of ecologically-important secondary metabolites, shedding light on how plants modulate their metabolite accumulation at the organ level.
Research at Tohoku University reveals genetic variants affecting enzymatic activities in healthy individuals, suggesting that moderate and rare variants contribute to metabolic differences and disease susceptibility. The study identifies five associations between metabolites and gene variants, including four related to metabolic diseases.
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.