Publications by authors named "M Stanislawski"
Article Synopsis
- A study explored how different biological factors (like proteins and metabolites) can help identify distinct groups of people with obesity who have varying risks for heart and metabolic diseases.
- Using data from 243 participants, researchers found two groups: one (iCluster1) with favorable cholesterol levels and another (iCluster2) with higher BMI and inflammation levels.
- The findings suggest these groups could reflect different stages of obesity-related issues, potentially influenced by factors like diet and behavior, despite similar ages across the groups.
Motivation: Longitudinal microbiome studies (LMS) are increasingly common but have analytic challenges including non-independent data requiring mixed-effects models and large amounts of data that motivate exploratory analysis to identify factors related to outcome variables. Although change analysis (i.e.
View Article and Find Full Text PDFInflammatory bowel disease (IBD) is characterized by complex etiology and a disrupted colonic ecosystem. We provide a framework for the analysis of multi-omic data, which we apply to study the gut ecosystem in IBD. Specifically, we train and validate models using data on the metagenome, metatranscriptome, virome, and metabolome from the Human Microbiome Project 2 IBD multi-omic database, with 1,785 repeated samples from 130 individuals (103 cases and 27 controls).
View Article and Find Full Text PDFArticle Synopsis
- Precision medicine is an evolving approach in healthcare that aims to enhance decision-making and health outcomes, particularly in managing diabetes, which poses serious health risks for millions globally.
- The second international consensus report on precision diabetes medicine reviews current findings on prevention, diagnosis, treatment, and prognosis across different forms of diabetes, highlighting the potential for translating research into clinical practice.
- The report also identifies knowledge gaps and sets out key milestones for better clinical implementation, emphasizing the need for standards addressing cost-effectiveness, health equity, and accessibility in treatment options.
Article Synopsis
- A systematic review was conducted to explore the relationship between clinical and biological features and the effectiveness of two diabetes treatments: SGLT2-inhibitors and GLP1-receptor agonists, focusing on outcomes like glycaemic control, cardiovascular health, and kidney function.
- Out of over 5,600 studies screened, only 101 for SGLT2-inhibitors and 75 for GLP1-receptor agonists were included, but many had methodological flaws that limited their reliability in assessing how different patients react to these treatments.
- Findings suggest that factors like lower kidney function and reduced insulin secretion could affect treatment responses, but overall evidence is weak; further well-designed studies are needed to better understand treatment diversity and enhance