The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states.

Scientific Reports - Fecal transplantation from humans with obesity to mice drives a selective microbial signature without impacting behavioral and metabolic health

Researchers found that higher urinary levels of caffeine and specific metabolites, especially in men, were significantly associated with diabetic retinopathy risk. The cross-sectional study used NHANE...

Background and Aims Alcohol-related liver disease (ALD) is a major cause of mortality and disability-adjusted life years. It is not fully understood why a small proportion of patients develop progre...

Metabolic profiling of Iron Age residues from the oasis of Qurayyah, Northwest Arabia, reveals the earliest material evidence for the fumigation of the drug plant Peganum harmala, used in domestic con...

Abstract. Microfluidic capillary electrophoresis-mass spectrometry (CE-MS) is a rapid and highly accurate method to determine isotopomer patterns in isotop

De Graeve et al., (2025). SpectriPy: Enhancing Cross-Language Mass Spectrometry Data Analysis with R and Python. Journal of Open Source Software, 10(109), 8070, https://doi.org/10.21105/joss.08070

Imperial College London is a world-leading university for science, technology, engineering, medicine and business (STEMB). Across our London campuses, and throughout our international network, we use ...

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The Centre for Predictive in vitro Models (CPM) represents multidisciplinary research focusing on the development and use of predictive in vitro models at Queen Mary University of London. This incorpo...

Lithocholic acid (LCA), a metabolite induced by calorie restriction (CR), activates AMPK and mimics anti-aging benefits. A recent study highlights LCA's role in improving muscle performance, glucose t...

Thousands of publications on the prediction of small molecule retention times were published during the last decades. The ultimate goal is, without doubt, the transferable prediction of retention time...

Naringenin (NRG), a flavanone polyphenol found in citrus fruits, has been increasingly recognized for its potential therapeutic effects in ocular diso…

PhD Project - (BBSRC NWD CASE) Investigating the metabolic changes in human skin bacteria as a function of human sebum composition at The University of Manchester, listed on FindAPhD.com

Introduction Metabolic disorders are a global health concern, necessitating the development of drugs with fewer side effects and more efficacy. Traditional Indian medicine uses Tinospora cordifolia an...

Methods for assessing compound identification confidence in metabolomics and related studies have been debated and actively researched for the past two decades. The earliest effort in 2007 focused pri...

Outside of case–control settings, ethnicity specific changes in the human metabolome are understudied especially in community dwelling, ageing men. Characterising serum for age and ethnicity specific ...

Background Genome-wide association studies (GWAS) with metabolic traits and metabolome-wide association studies (MWAS) with traits of biomedical relevance are powerful tools to identify the contributi...

Researchers developed a novel diabetes risk score integrating traditional factors with metabolomic biomarkers, achieving improved prediction accuracy for 10-year type 2 diabetes risk.

Introduction Inflammatory bowel diseases (IBDs) are chronic immune driven intestinal disorders with marked metabolic alteration. Mass spectrometry imaging (MSI) enables the direct visualization of bio...

Introduction Outside of case–control settings, ethnicity specific changes in the human metabolome are understudied especially in community dwelling, ageing men. Characterising serum for age and ethnic...

The Centre for Predictive in vitro Models (CPM) represents multidisciplinary research focusing on the development and use of predictive in vitro models at Queen Mary University of London. This incorpo...

NMR is a central tool in the field of metabolomics, thanks to its ability to provide valuable structural and quantitative information with high precision. Most NMR-based metabolomics studies rely on 1D 1H detection, which is heavily limited by strong peak overlap. 13C NMR benefits from a wider spectral dispersion and narrower signal line width but is barely used in metabolomics due to its low sensitivity. Dissolution dynamic nuclear polarization (d-DNP) offers an opportunity to improve 13C NMR sensitivity by several orders of magnitude. Here, we show that this emerging hyperpolarized metabolomics approach can provide meaningful information about clinical samples. Achieving sub-mM limits of detection with 13C at natural abundance in urine samples was made possible by a meticulous design of the experimental workflow. The analysis of human urine samples from patients with different stages of chronic kidney disease (CKD) was performed using 13C d-DNP NMR and benchmarked to conventional 1H NMR metabolomics at a high magnetic field to explore the complementarity between the two methods. Multivariate analysis of the d-DNP 13C NMR dataset provided a statistical model able to distinguish patients with CKD from control patients. Moreover, 13C d-DNP NMR spectra highlighted several biomarkers known to be biologically relevant. Some of them were in agreement with those obtained with conventional 1H NMR, and the results also highlighted the complementarity of biomarker coverage between hyperpolarized and conventional NMR metabolomics. In particular, 13C hyperpolarized NMR allowed the annotation of two biomarkers that could not be detected by 1H NMR because of peak overlap (i.e., guanine and guanidoacetate).

MASLD affects large swathes of the population, and a proportion develop advanced disease with resultant morbidity and mortality. Tan et al. review the metabolomic alterations in MASLD and its various phenotypes that pave the way for non-invasive diagnosis and risk assessment and provide insights into disease mechanisms and therapeutics development.

Introduction Accurately identifying and quantifying polar metabolites using untargeted metabolomics has proven challenging in comparison to mid to non-polar metabolites. Hydrophilic interaction chroma...

Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited ...