A5027433317- Inflammatory Bowel Disease
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Genetic Associations and Epidemiology
- Helicobacter pylori-related gastroenterology studies
- Autoimmune and Inflammatory Disorders
- Urticaria and Related Conditions
- Gastric Cancer Management and Outcomes
- Colorectal Cancer Screening and Detection
- Microscopic Colitis
- Artificial Intelligence in Healthcare
- Galectins and Cancer Biology
- Oral Health Pathology and Treatment
- Immunodeficiency and Autoimmune Disorders
- Biochemical and Molecular Research
- Lipid metabolism and disorders
- Pharmacological Effects of Natural Compounds
- Digital Imaging for Blood Diseases
- Pancreatic and Hepatic Oncology Research
- Pancreatitis Pathology and Treatment
- Diverticular Disease and Complications
- Dental Research and COVID-19
- Acne and Rosacea Treatments and Effects
- Psoriasis: Treatment and Pathogenesis
- Medical Coding and Health Information
Icahn School of Medicine at Mount Sinai
2023-2025
Hasso Plattner Institute
2023-2025
University of Potsdam
2023-2025
Mount Sinai Hospital
2025
Abstract Background Biological therapy has greatly improved treatment outcomes in inflammatory bowel disease (IBD) management, but primary non-response rates of 10-30% and even higher secondary have been reported1. Chronotherapy, which involves administering treatments alignment with the body’s biological clock shown promise improving efficacy across multiple diseases2,3. However, its impact on IBD management remains largely unexplored4. Here, we investigated effect infusion timing patients...
Abstract Background Around 20-30% of patients with Crohn's disease (CD) experience a mild course. However, identifying likely to maintain course is challenging. This study aimed identify molecular features CD by exploring biological datasets from two large patient cohorts. Methods Patients were analysed longitudinal cohorts: the Mount Sinai and Colitis Registry (MSSCR) observational cohort Ocean State Crohn’s (OSCCAR) inception cohort. Baseline assessments in both cohorts included...
Abstract Background Regenerating islet-derived 3-alpha (REG3α) is a serum biomarker that, alone or in combination with ST2 (suppressor of tumorigenesis 2), has been used to risk-stratify patients primary treatment trials for acute graft-versus-host disease (aGVHD) due its accurate prediction 6-month non-relapse mortality (1-3). Serum REG3α reflects Paneth cell function and intestinal stem niche integrity (4). Given the similarities between manifestations aGVHD Crohn’s (CD), we aimed evaluate...
Abstract Background The kynurenine pathway is upregulated in inflammatory bowel disease (IBD) a disease-activity induced manner. This route of tryptophan (Trp) degradation leads to variety bioactive compounds, including several with anti-inflammatory (e.g., kynurenic acid (Kyna), xanthurenic (Xana)) or cytotoxic (quinolinic (Quin)) effects. Our aim was stratify patients IBD into distinct subgroups based on their Trp metabolic profiles (Trp metabotypes) and assess prognostic capacity...
Patients with inflammatory bowel disease (IBD) exhibit distinct shifts in circulating metabolite levels linked to activity and phenotype, but associations progression remain unexplored. Our aim was investigate relationships between metabolites metabolic pathways risk patients IBD. We performed an observational cohort study using the Mount Sinai Crohn's Colitis Registry. Follow-up data retrieved from longitudinal electronic health records. Untargeted metabolomics analysis on baseline serum....
Abstract Chronic kidney disease (CKD) is a complex disorder that causes gradual loss of function, affecting approximately 9.1% the world's population. Here, we use soft-clustering algorithm to deconstruct its genetic heterogeneity. First, selected 322 CKD-associated independent variants from published genome-wide association studies (GWAS) and added results for 229 traits GWAS catalog. We then applied nonnegative matrix factorization (NMF) discover overlapping clusters related variants....
Abstract Real-world studies based on electronic health records often require manual chart review to derive patients’ clinical phenotypes, a labor-intensive task with limited scalability. Here, we developed and compared computable phenotyping rules using the spaCy frame-work Large Language Model (LLM), GPT-4, for disease behavior age at diagnosis of Crohn’s patients. We are first describe algorithms texts these complex tasks previously described inter-annotator agreements between 0.54 0.98....
Abstract Background Approximately 20-30% of patients with Crohn's disease (CD) experience a mild course following initial diagnosis. Balancing the effectiveness and safety medical treatments is crucial in management CD. However, main clinical challenge currently lies identifying likely to maintain this course, underscoring urgent need for biomarkers In study, we therefore aimed identify potential circulating CD leveraging metabolomics approach. Methods Patients were retrospectively...
Abstract Background Patients with inflammatory bowel diseases (IBD) exhibit distinct shifts in circulating metabolite levels that have been associated clinical disease activity and phenotype. However, there are limited data on the impact of metabolomic changes progression IBD. We aimed to understand association related pathways risk patients Methods conducted an observational cohort study using Mount Sinai Crohn’s Colitis Registry (MSCCR). were prospectively enrolled baseline questionnaires...
Abstract Chronic kidney disease (CKD) is a complex disorder that causes gradual loss of function, affecting approximately 9.1% the world’s population. Here, we use soft-clustering algorithm to deconstruct its genetic heterogeneity. First, selected 322 CKD-associated independent variants from published genome-wide association studies (GWAS) and added results for 229 traits GWAS catalog. We then applied nonnegative matrix factorization (NMF) discover overlapping clusters related variants....
<title>Abstract</title> Chronic kidney disease (CKD) is a complex disorder that causes gradual loss of function, affecting approximately 9.1% the world's population. Here, we use soft-clustering algorithm to deconstruct its genetic heterogeneity. First, selected 322 CKD-associated independent variants from published genome-wide association studies (GWAS) and added results for 229 traits GWAS catalog. We then applied nonnegative matrix factorization (NMF) discover overlapping clusters related...