Metabolon, Inc.

Join us at #ASHG24! We are excited to be exhibiting at the American Society of Human Genetics conference happening right now in Denver! We can't wait to connect with you and learn about your work! Stop by booth #245 to speak to one of our experts about how metabolomics can be used to uncover new insights in your genomics research. Schedule a meeting: https://mtbln.co/tbc2gz

🌍✨ Unlocking Health Insights with Metabolomics and the Exposome! ✨🌍 We’re excited to share this study from The University Medical Center at Rotterdam that dives deep into the impact of long-term air pollution exposure on the blood metabolome. This research highlights the critical role of metabolomics in understanding how environmental factors shape our health. Why is this important? Metabolomics provides a snapshot of metabolic changes in the body, offering insights into the biological effects of environmental exposures. By exploring the exposome, which comprises the totality of environmental exposures, we can better understand their influence on health and disease. Read the full article to explore how these findings can pave the way for improved strategies to tackle large public health challenges: https://lnkd.in/dCrWUgmE #Metabolomics #Exposome #PublicHealth #EnvironmentalScience #RotterdamStudy

🚀 Unlock the Power of Metabolomics Data! Join Metabolon's LIVE webinar, tomorrow, Sept. 26th at 11am ET to explore their latest Bioinformatics Platform features! Designed for non-statisticians, this session will guide you through: ✅ Using statistics to define new analyses ✅Outlier removal and metadata modification for richer insights ✅Hypothesis testing tools that empower your metabolomics research Don't miss out on the opportunity to make sense of your data with ease! 🔗 Register now: https://mtbln.co/dpxl1j #Metabolomics #Bioinformatics #DataScience #Webinar #Statistics #Research

🚀 Featured Publication- 'Machine Learning Metabolomics Profiling of Dietary Interventions from a Six-Week Randomised Trial'   👩🔬 First Author: Afroditi Kouraki 👩🔬 Last Author: Ana Valdes 🗞 Full Publication: https://lnkd.in/eJwxn3uD   What can machine learning contribute to metabolomics-led interventional studies? Quite a lot, actually. For today's featured publication, we're proud to say our very own Dr. Greg Michelotti and Dr. Kari Wong are listed among the co-authors. In this study, machine learning techniques have been applied to analyze metabolomic data from a six-week randomized trial, providing an in-depth insight into how dietary interventions impact human metabolism.   This research represents an exciting step forward in combining data science and biology to explore how what we eat profoundly influences our health. 📦 Find more microbiome resources here: https://lnkd.in/e2pDWQzW   🗞 Abstract: Metabolomics can uncover physiological responses to prebiotic fibre and omega-3 fatty acid supplements with known health benefits and identify response-specific metabolites. We profiled 534 stool and 799 serum metabolites in 64 healthy adults following a 6-week randomised trial comparing daily omega-3 versus inulin supplementation. Elastic net regressions were used to separately identify the serum and stool metabolites whose change in concentration discriminated between the two types of supplementations. Random forest was used to explore the gut microbiome's contribution to the levels of the identified metabolites from matching stool samples. Changes in serum 3-carboxy-4-methyl-5-propyl-2-furanpropanoate and indoleproprionate levels accurately discriminated between fibre and omega-3 (area under the curve (AUC) = 0.87 [95% confidence interval (CI): 0.63–0.99]), while stool eicosapentaenoate indicated omega-3 supplementation (AUC = 0.86 [95% CI: 0.64–0.98]). Univariate analysis also showed significant increases in indoleproprionate with fibre, 3-carboxy-4-methyl-5-propyl-2-furanpropanoate, and eicosapentaenoate with omega-3. Out of these, only the change in indoleproprionate was partly explained by changes in the gut microbiome composition (AUC = 0.61 [95% CI: 0.58–0.64] and Rho = 0.21 [95% CI: 0.08–0.34]) and positively correlated with the increase in the abundance of the genus Coprococcus (p = 0.005). Changes in three metabolites discriminated between fibre and omega-3 supplementation. The increase in indoleproprionate with fibre was partly explained by shifts in the gut microbiome, particularly Coprococcus, previously linked to better health.   #metabolomics #lipidomoics #multiomics #machinelearning #aiinscience #microbiome #metabolites

📢 Integrated Bioinformatics Platform Update - We're excited to announce the release of a new Statistics tool, now available for all projects within Metabolon's Integrated Bioinformatics Platform.   📰 Press Release - https://lnkd.in/eA8F2EDZ 🌐 Bioinformatics Overview - https://lnkd.in/ekjPvc2M 🌐 Statistics Tool Overview - https://lnkd.in/eXkfMeck   Since the launch of the Integrated Bioinformatics Platform in March 2024, our bioinformatics team have been hard at work, adding new features to help researchers uncover insights from metabolomics data faster than ever. The new Statistics tool gives users enhanced control over their project data, offering features to customize and define analyses, remove outliers, and add and manage sample metadata for deeper contextual insights.   The Statistics tool is available for all projects within Metabolon's Bioinformatics Platform. For those curious to explore the new features, we’ve created a demo project so you can trial everything with sample data. 🌐 Get your demo HERE - https://lnkd.in/ez33eFC2   We love seeing the excitement from researchers who are using our platform for the first time. If you haven’t tried it out yet, don’t miss our upcoming webinar hosted by Heino Heyman, Ph.D., and Joe Foster, Ph.D., where they’ll present the new Statistics features and provide an in-depth overview of the Bioinformatics Platform.   🎥 Live webinar - 26 September, 11 AM ET – Register here: https://lnkd.in/eu3uK99E   Stay tuned for more updates! In the meantime, log in, explore the new features, and join us in congratulating the bioinformatics team on this latest release! #statistics #bioinformatics #pca #plsda #volcanoplot #hierarchicalclustering #clustering #pathways #pathwaymapping #pathwayenrichment #biologicaldata #metabolomics #lipidomics #multiomics #lifescience #pharma #phenotype #populationhealth #pophealth #diseaseresearch #metabolites #biplot #loadings #metabolon #bioanalysis

🚀 Join Us at ESMO 2024 in Barcelona! 🚀 We’re excited to be at the European Society for Medical Oncology Congress (ESMO) in Barcelona! If you’re here, don’t miss the chance to stop by our booth and discover how metabolomics is transforming oncology research. 🔬 Visit us at Booth 654 to meet our experts and learn how metabolomics can uncover groundbreaking insights in cancer research. 📅 Schedule a Meeting: https://mtbln.co/qcx2y4 Let’s connect and explore the future of oncology together! #ESMO24 #Oncology #Metabolomics #CancerResearch #ClinicalOncology #MedicalOncology #Lipidomics #Bioanalysis #Phenotype #Biology

🚨 Featured Publication Alert 🚨 📊 Study Highlights: Researchers explored the genetic associations of 1,391 plasma metabolites in 6,000+ Finnish men, uncovering 303 novel signals related to metabolism and disease. This study uses the unique genetic landscape of Finland to reveal rare variants linked to health conditions, offering groundbreaking insights into how genetics and metabolism interact. 🔗 Full Publication: https://lnkd.in/gXZpQXq4 🔍 Case Study: https://mtbln.co/gxw8g9 🎥 Webinar: https://mtbln.co/8o1uo #Genomics #Metabolomics #PrecisionMedicine #HealthTech

Have you read our new Guide to Multiomics? This comprehensive guide dives into genomics, transcriptomics, proteomics, metabolomics, and the microbiome to highlight the unique utility of these technologies in multiomic studies. Check it out: https://mtbln.co/1kvo4l

🚀 Featured Publication: "Integrating Digital Gait Data with Metabolomics and Clinical Data to Predict Outcomes in Parkinson’s Disease" 👩🔬 First Author: Cyril Brzenczek 👨🔬 Last Author: Enrico Glaab 🗞 Full Publication: https://lnkd.in/ex62eq7P ▶ Dr Glaab's Webinar: https://lnkd.in/eTqm3PRw Today's featured publication, published on 6-September-2024, demonstrates how digital biomarkers can enhance the understanding and management of Parkinson’s disease (PD). This study combines digital gait data with metabolomics and clinical data to predict motor impairment, non-motor symptoms, and disease progression. Using gait sensors, metabolomics, and machine learning, this approach contributes to improved diagnostics and provides new insights into PD's complex symptoms. What’s most exciting? This multimodal integration doesn’t just assess motor dysfunction but also helps detect comorbidities like cognitive decline and hallucinations, opening the door to more personalized patient care with metabolomics biomarkers. #DigitalBiomarkers #ParkinsonsDisease #PD #Metabolomics #PrecisionMedicine #ClinicalResearch #phenotype #biomarkers #multiomics

Road to ESMO 2024! 7 days to go. The team are extremely excited to be exhibiting at the European Society for Medical Oncology Congress (ESMO) in Barcelona on 13-17 September, 2024. If you are in Barcelona for the congress and would like to learn how metabolomics can accelerate your time to new insights within oncological research, we're available! Visit the team at booth #654 to learn more about our services and projects we have supported, or click the link below and book a 1:1 meeting with the team to discuss an upcoming project with a metabolomics expert. 🤙 Book a meeting: https://lnkd.in/dbsK484B 👨🔬 👩🔬 Our team: Simone de Faria Maraschin, PhD, Alessandro Busetti, Zoltan Bognar, Nina Görner, Julián Palacios Abril, #oncology #oncological #metabolomics #clinicaloncology #medicaloncology #lipidomics #phenotype #bioanalysis #biology #cancerresearch