P
Pouyan Ghaffari
Researcher at Chalmers University of Technology
Publications - 6
Citations - 728
Pouyan Ghaffari is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Microbiome & Observational study. The author has an hindex of 4, co-authored 4 publications receiving 587 citations.
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Journal ArticleDOI
Quantifying Diet-Induced Metabolic Changes of the Human Gut Microbiome
Saeed Shoaie,Pouyan Ghaffari,Petia Kovatcheva-Datchary,Adil Mardinoglu,Partho Sen,Estelle Pujos-Guillot,Tomas de Wouters,Catherine Juste,Salwa W. Rizkalla,Salwa W. Rizkalla,Julien Chilloux,Lesley Hoyles,Jeremy K. Nicholson,Joël Doré,Marc E. Dumas,Karine Clément,Karine Clément,Karine Clément,Fredrik Bäckhed,Fredrik Bäckhed,Jens Nielsen +20 more
TL;DR: The CASINO (Community And Systems-level INteractive Optimization) toolbox is described, a comprehensive computational platform for analysis of microbial communities through metabolic modeling that could quantitatively describe altered fecal and serum amino acid levels in response to diet intervention.
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The gut microbiota modulates host amino acid and glutathione metabolism in mice
Adil Mardinoglu,Adil Mardinoglu,Saeed Shoaie,Mattias Bergentall,Mattias Bergentall,Pouyan Ghaffari,Cheng Cheng Zhang,Erik Larsson,Erik Larsson,Fredrik Bäckhed,Fredrik Bäckhed,Jens Nielsen,Jens Nielsen +12 more
TL;DR: Investigating how the gut microbiota modulates the global metabolic differences in duodenum, jejunum, ileum, colon, liver, and two white adipose tissue depots obtained from conventionally raised (CONV‐R) and germ‐free (GF) mice revealed that the gut microbiome influences host amino acid and glutathione metabolism in mice.
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Cancer Metabolism: A Modeling Perspective
TL;DR: Cancer-associated reprogramming of metabolism is reviewed and the capability of genome-scale metabolic modeling approaches in perceiving a system-level perspective of cancer metabolism and in detecting novel selective drug targets is highlighted.
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Identifying anti-growth factors for human cancer cell lines through genome-scale metabolic modeling
Pouyan Ghaffari,Adil Mardinoglu,Anna Asplund,Saeed Shoaie,Caroline Kampf,Mathias Uhlén,Jens Nielsen +6 more
TL;DR: This work reconstructed Genome scale metabolic models for eleven cell lines based on RNA-Seq data and validated the functionality of these models with data from metabolite profiling, and predicted 85 antimetabolites that can inhibit growth of, or even kill, any of the cell lines, while at the same time not being toxic for 83 different healthy human cell types.
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Irritable bowel syndrome and microbiome; Switching from conventional diagnosis and therapies to personalized interventions
TL;DR: In this article , the authors proposed a new perspective on using data-driven approach and applying computational modelling and machine learning to design microbiome-aware personalized treatment for Irritable Bowel Syndrome (IBS).