Synergistic Combinations of Gut-and Pancreas-Hormone-Based Therapies: Advancements in Treatments for Metabolic Diseases

SA Lyons, JL Beaudry - Endocrinology, 2023 - academic.oup.com
Metabolic diseases, such as obesity, type 2 diabetes mellitus (T2DM), cardiovascular
disease, and liver disease, have become increasingly prevalent around the world. As an …

Harnessing the power of proteomics in precision diabetes medicine

N Kurgan, J Kjærgaard Larsen, AS Deshmukh - Diabetologia, 2024 - Springer
Precision diabetes medicine (PDM) aims to reduce errors in prevention programmes,
diagnosis thresholds, prognosis prediction and treatment strategies. However, its …

The methyltransferase N6AMT1 participates in the cell cycle by regulating cyclin E levels

M Mutso, B Brūmele, E Serova, F Väärtnõu, M Suija… - Plos one, 2024 - journals.plos.org
The methyltransferase N6AMT1 has been associated with the progression of different
pathological conditions, such as tumours and neurological malfunctions, but the underlying …

Plasma Lipidomic Profiling Using Mass Spectrometry for Multiple Sclerosis Diagnosis and Disease Activity Stratification (LipidMS)

SSJ Lattau, LM Borsch, K Auf Dem Brinke… - International Journal of …, 2024 - mdpi.com
This investigation explores the potential of plasma lipidomic signatures for aiding in the
diagnosis of Multiple Sclerosis (MS) and evaluating the clinical course and disease activity …

An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study

RC Slieker, M Münch, LA Donnelly, GA Bouland… - Diabetologia, 2024 - Springer
Aims/hypothesis People with type 2 diabetes are heterogeneous in their disease trajectory,
with some progressing more quickly to insulin initiation than others. Although classical …

An interactive atlas of genomic, proteomic, and metabolomic biomarkers promotes the potential of proteins to predict complex diseases

M Smelik, Y Zhao, X Li, J Loscalzo, O Sysoev… - Scientific Reports, 2024 - nature.com
Multiomics analyses have identified multiple potential biomarkers of the incidence and
prevalence of complex diseases. However, it is not known which type of biomarker is optimal …

[HTML][HTML] Heterogeneity of foam cell biogenesis across diseases

V Guerrini, B Prideaux, R Khan, S Subbian, Y Wang… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Foam cells are dysfunctional, lipid-laden macrophages associated with chronic inflammation
of diverse origin. The long-standing paradigm that foam cells are cholesterol-laden derives …

Multi-omics subgroups associated with glycaemic deterioration in type 2 diabetes: an IMI-RHAPSODY Study

S Li, I Dragan, VDT Tran, CH Fung… - Frontiers in …, 2024 - frontiersin.org
Introduction Type 2 diabetes (T2D) onset, progression and outcomes differ substantially
between individuals. Multi-omics analyses may allow a deeper understanding of these …

Machine Learning Approach to Metabolomic Data Predicts Type 2 Diabetes Mellitus Incidence

A Leiherer, A Muendlein, S Mink, A Mader… - International Journal of …, 2024 - mdpi.com
Metabolomics, with its wealth of data, offers a valuable avenue for enhancing predictions
and decision-making in diabetes. This observational study aimed to leverage machine …

A Federated Database for Obesity Research: An IMI-SOPHIA Study

C Delfin, I Dragan, D Kuznetsov, JF Tajes, F Smit… - Life, 2024 - mdpi.com
Obesity is considered by many as a lifestyle choice rather than a chronic progressive
disease. The Innovative Medicines Initiative (IMI) SOPHIA (Stratification of Obesity …