Patrick Gelbach
@GelbachPatrick
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PhD in BME at the University of Southern California, in the @USCSysBio_Lab. Using computer modeling to study cellular metabolism. UVA 2018
Los Angeles, CA
Joined November 2018
Hello! We are super excited to have this paper out as a preprint: "Flux Sampling in Genome-scale Metabolic Modeling of Microbial Communities" Quick thread: https://t.co/ROMP03v0IN
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Look at the distribution of z-values from medical research!
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Bioenergetics: Increasing Calories Out “We are currently expending about 220 calories per day less for males and 122 calories per day less for females than people of our age and body composition were in the late 1980s. These changes are sufficient to explain the obesity epidemic
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Also “eat less than your body needs to survive in order to survive longer” is of course ridiculous. Calorie restriction below bmr is not good for you
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I think I’m starting to believe Lamarck more than Darwin. And the differences between the two theories has huge implications for how we research cancer biology and treatment..
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𝗪𝗵𝗮𝘁 𝘄𝗲 𝘀𝗲𝗲 𝗶𝗻 𝗰𝗮𝗻𝗰𝗲𝗿: - A cell’s inability to oxidize glucose. - A resulting excess of lactate.[19] - Impaired glucose metabolism means reduced ability to regenerate glutathione, leading to oxidative stress.[20] - Low mitochondrial NAD/NADH ratio.[21][22] -
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Article published a couple of days ago. Every figure in the article is AI generated and totally incomprehensible. This passed "peer-review" https://t.co/8oeyjbn098
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Glad to see this paper published! I hope you all will find it interesting, it was a fun project with @USCSysBio_Lab
https://t.co/YXNORhNMYN
bmcbioinformatics.biomedcentral.com
Background Microbial communities play a crucial role in ecosystem function through metabolic interactions. Genome-scale modeling is a promising method to understand these interactions and identify...
Hello! We are super excited to have this paper out as a preprint: "Flux Sampling in Genome-scale Metabolic Modeling of Microbial Communities" Quick thread: https://t.co/ROMP03v0IN
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More good news! Longer blog post coming soon...but my dear ppl, I think we have a "signal". Ray Peat right again! A combo of vitamin B1/B3/B7 & aspirin CURED 2 out of 3 mice from a lethal HUMAN tumor w/ 100% lethality & no reported spontaneous regression. https://t.co/dMCLBoTfb6
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Rice and wheat, two of the most crucial food staples worldwide, have experienced a significant decline in nutritional quality over the past 50 years. The essential mineral concentration in rice has decreased by 36%, while in wheat, it has dropped by 57%. At the same time,
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after sharing the news with family and friends, i am thrilled to announce that i have been promoted to Professor of Biomedical Engineering and Quantitative and Computational Biology @USC !! @USCViterbi @uscbme @qcb_usc
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NEW Perspective: Kost, Patil, Friedman, Garcia & Ralser argue that metabolic exchanges are ubiquitous in natural microbial communities @kostchristian @kiran_r_patil @JFriedman_micro @sarilog @ralserlab
nature.com
Nature Microbiology - This Perspective discusses the prevalence of synergistic metabolic interactions in nature and their impact on microbial communities.
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#throwback to just two weeks ago when we celebrated @USC commencement! lab Ph.D. grad #6 @colincess and #7 @GelbachPatrick, plus the amazing @uscbme student Ariella Simoni! so proud of all their accomplishments! @USCViterbi
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The eternal white pill: “The principles of embryology keep functioning throughout life” - Ray Peat
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In place of the old belief that “we are defined and limited by our genes,” the new perspective is showing us that we are limited by our environment, and that our environment can be modified.
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sad to miss #MathOnc23, but glad that the newly minted Ph.D. @GelbachPatrick is there and has the chance to present his recent work. check out the preprint for the full story!
biorxiv.org
Colorectal cancer (CRC) shows high incidence and mortality, partly due to the tumor microenvironment, which is viewed as an active promoter of disease progression. Macrophages are among the most...
Final talk of #MathOnc23 Day 2 is from Patrick Gelbach from @USCSysBio_Lab presenting, Ensemble-based Genome-scale Modeling Predicts Metabolic Differences between Macrophage Subtypes in Colorectal Cancer.
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For the future: the main reason @USCSysBio_Lab and I did this is because we want to study metabolic interactions in the tumor microenvironment (with @MumenthalerLab @ngraham @MathCancer) where the idea of a single cell goal (w FBA) is less supported, and sampling could be better
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Altogether, this was meant to be a simple methods-based paper to study how predictions are affected by sampling of genome-scale models of communities vs traditional FBA. Overall pretty fun!
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