Jan Krumsiek

About

Jan Krumsiek, Ph.D., is an Associate Professor of Physiology and Biophysics and an Associate Professor of Computational Genomics in Computational Biomedicine at Weill Cornell Medicine. He develops and applies novel methods for the analysis of metabolomics and multi-omics data, including pathway-based methods, computational simulations, and machine learning techniques. His special focus is on the inference of metabolic networks from data, providing a condition-specific, unbiased in vivo view on metabolism. Dr. Krumsiek's research primarily addresses the etiology and risk prediction in the fields of diabetes and obesity, and he is transitioning to projects in cancer research. His lab elucidates metabolic associations of drug treatment and clinical parameters across different types of cancer. His work involves the development of computational tools and models to better understand metabolic processes and their implications for disease mechanisms and treatment strategies.

Research topics

• Biology
• Internal medicine
• Medicine
• Biochemistry
• Bioinformatics
• Endocrinology
• Cancer research
• Neuroscience
• Genetics
• Immunology

Selected publications

• Multi-omics integration in biomedical research – A metabolomics-centric review

  Analytica Chimica Acta · 2020-10-22 · 321 citations

  reviewOpen access
  PublisherOA PDFDOI

• Sex and APOE ε4 genotype modify the Alzheimer’s disease serum metabolome

  Nature Communications · 2020 · 208 citations

  Late-onset Alzheimer's disease (AD) can, in part, be considered a metabolic disease. Besides age, female sex and APOE ε4 genotype represent strong risk factors for AD that also give rise to large metabolic differences. We systematically investigated group-specific metabolic alterations by conducting stratified association analyses of 139 serum metabolites in 1,517 individuals from the AD Neuroimaging Initiative with AD biomarkers. We observed substantial sex differences in effects of 15 metaboli…

  DOI

• Metabolic Network Analysis Reveals Altered Bile Acid Synthesis and Metabolism in Alzheimer’s Disease

  Cell Reports Medicine · 2020 · 206 citations

  Increasing evidence suggests Alzheimer's disease (AD) pathophysiology is influenced by primary and secondary bile acids, the end product of cholesterol metabolism. We analyze 2,114 post-mortem brain transcriptomes and identify genes in the alternative bile acid synthesis pathway to be expressed in the brain. A targeted metabolomic analysis of primary and secondary bile acids measured from post-mortem brain samples of 111 individuals supports these results. Our metabolic network analysis suggests…

  DOI

• Exogenous and Endogenous Sources of Serine Contribute to Colon Cancer Metabolism, Growth, and Resistance to 5-Fluorouracil

  Cancer Research · 2021 · 112 citations

  augmented 5-FU-induced cell death, DNA damage, and metabolic perturbations, likely accounting for the observed antitumor effect. Collectively, our results suggest that both endogenous and exogenous sources of serine contribute to colorectal cancer growth and resistance to 5-FU. SIGNIFICANCE: These findings provide insights into the metabolic requirements of colorectal cancer and reveal a novel approach for its treatment. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/81/9/2…

  DOI

• The Space Omics and Medical Atlas (SOMA) and international astronaut biobank

  Nature · 2024-06-11 · 97 citations

  articleOpen access

  Abstract Spaceflight induces molecular, cellular and physiological shifts in astronauts and poses myriad biomedical challenges to the human body, which are becoming increasingly relevant as more humans venture into space 1–6 . Yet current frameworks for aerospace medicine are nascent and lag far behind advancements in precision medicine on Earth, underscoring the need for rapid development of space medicine databases, tools and protocols. Here we present the Space Omics and Medical Atlas (SOMA),…

  PublisherOA PDFDOI

Recent grants

• ADMINISTRATIVE SUPPLEMENT - TargetAD: A systems multi-omics approach to drug repositioning in Alzheimer's disease

  NIH · $625k · 2021–2026

Frequent coauthors

• Gabi Kastenmüller

  Helmholtz Zentrum München

  343 shared

• Karsten Suhre

  Weill Cornell Medicine

  245 shared

• Jerzy Adamski

  University of Ljubljana

  198 shared

• Fabian J. Theis

  Technical University of Munich

  187 shared

• Elisa Benedetti

  Cornell University

  158 shared

• Richa Batra

  Cornell University

  154 shared

• Mustafa Büyüközkan

  Lander Institute

  154 shared

• Matthias Arnold

  Emory University

  150 shared

Similar researchers at Cornell University

• Olivier Elementoh-150
• Harel Weinsteinh-85