Unlocking Human Brain Metabolism by Genome-Scale and Multiomics Metabolic Models: Relevance for Neurology Research, Health, and Disease

2018 ◽  
Vol 22 (7) ◽  
pp. 455-467 ◽  
Author(s):  
Mustafa Sertbas ◽  
Kutlu O. Ulgen
Keyword(s):  
Human Brain ◽  
Brain Metabolism ◽  
Health And Disease ◽  
Metabolic Models ◽  
Human Brain Metabolism ◽  
Genome Scale

Human brain metabolism of morphine and naloxone

Pain ◽  
1988 ◽  
Vol 35 (2) ◽  
pp. 121-127 ◽  
Author(s):  
Agneta Wahlström ◽  
Bengt Winblad ◽  
Marie Bixo ◽  
Anders Rane
Keyword(s):  
Human Brain ◽  
Brain Metabolism ◽  
Human Brain Metabolism

scholarly journals First hyperpolarized [2-13C]pyruvate MR studies of human brain metabolism

2019 ◽  
Vol 309 ◽  
pp. 106617 ◽  
Author(s):  
Brian T. Chung ◽  
Hsin-Yu Chen ◽  
Jeremy Gordon ◽  
Daniele Mammoli ◽  
Renuka Sriram ◽  
...  
Keyword(s):  
Human Brain ◽  
Brain Metabolism ◽  
Mr Studies ◽  
Human Brain Metabolism

HUMAN BRAIN METABOLISM

1940 ◽  
Vol 97 (3) ◽  
pp. 552-565 ◽  
Author(s):  
JOSEPH WORTIS ◽  
KARL M. BOWMAN ◽  
WALTER GOLDFARB
Keyword(s):  
Human Brain ◽  
Brain Metabolism ◽  
Human Brain Metabolism

scholarly journals Quantifying normal human brain metabolism using hyperpolarized [1–13C]pyruvate and magnetic resonance imaging

NeuroImage ◽  
2019 ◽  
Vol 189 ◽  
pp. 171-179 ◽  
Author(s):  
James T. Grist ◽  
Mary A. McLean ◽  
Frank Riemer ◽  
Rolf F. Schulte ◽  
Surrin S. Deen ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Human Brain ◽  
Brain Metabolism ◽  
Resonance Imaging ◽  
Normal Human Brain ◽  
Normal Human ◽  
Human Brain Metabolism

scholarly journals An atlas of human metabolism

2020 ◽  
Vol 13 (624) ◽  
pp. eaaz1482 ◽  
Author(s):  
Jonathan L. Robinson ◽  
Pınar Kocabaş ◽  
Hao Wang ◽  
Pierre-Etienne Cholley ◽  
Daniel Cook ◽  
...  
Keyword(s):  
Kinetic Data ◽  
Model Development ◽  
Source Model ◽  
Omics Data ◽  
Human Metabolism ◽  
Future Studies ◽  
Development Framework ◽  
Health And Disease ◽  
Metabolic Models ◽  
Genome Scale

Genome-scale metabolic models (GEMs) are valuable tools to study metabolism and provide a scaffold for the integrative analysis of omics data. Researchers have developed increasingly comprehensive human GEMs, but the disconnect among different model sources and versions impedes further progress. We therefore integrated and extensively curated the most recent human metabolic models to construct a consensus GEM, Human1. We demonstrated the versatility of Human1 through the generation and analysis of cell- and tissue-specific models using transcriptomic, proteomic, and kinetic data. We also present an accompanying web portal, Metabolic Atlas (https://www.metabolicatlas.org/), which facilitates further exploration and visualization of Human1 content. Human1 was created using a version-controlled, open-source model development framework to enable community-driven curation and refinement. This framework allows Human1 to be an evolving shared resource for future studies of human health and disease.

Sign in / Sign up

Export Citation Format

Share Document