Literature DB >> 35132243

Spatially resolved isotope tracing reveals tissue metabolic activity.

Lin Wang1,2, Xi Xing1, Xianfeng Zeng1, S RaElle Jackson1, Tara TeSlaa1, Osama Al-Dalahmah3, Laith Z Samarah1, Katharine Goodwin1, Lifeng Yang1, Melanie R McReynolds1, Xiaoxuan Li1,2, Jeremy J Wolff4, Joshua D Rabinowitz1,2,5,6,7, Shawn M Davidson8,9.   

Abstract

Isotope tracing has helped to determine the metabolic activities of organs. Methods to probe metabolic heterogeneity within organs are less developed. We couple stable-isotope-labeled nutrient infusion to matrix-assisted laser desorption ionization imaging mass spectrometry (iso-imaging) to quantitate metabolic activity in mammalian tissues in a spatially resolved manner. In the kidney, we visualize gluconeogenic flux and glycolytic flux in the cortex and medulla, respectively. Tricarboxylic acid cycle substrate usage differs across kidney regions; glutamine and citrate are used preferentially in the cortex and fatty acids are used in the medulla. In the brain, we observe spatial gradations in carbon inputs to the tricarboxylic acid cycle and glutamate under a ketogenic diet. In a carbohydrate-rich diet, glucose predominates throughout but in a ketogenic diet, 3-hydroxybutyrate contributes most strongly in the hippocampus and least in the midbrain. Brain nitrogen sources also vary spatially; branched-chain amino acids contribute most in the midbrain, whereas ammonia contributes in the thalamus. Thus, iso-imaging can reveal the spatial organization of metabolic activity.
© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35132243     DOI: 10.1038/s41592-021-01378-y

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  6 in total

1.  Metabolic diversity drives cancer cell invasion.

Authors:  Sanjeethan C Baksh; Lydia W S Finley
Journal:  Nature       Date:  2022-05       Impact factor: 49.962

Review 2.  Metabolic analysis as a driver for discovery, diagnosis, and therapy.

Authors:  Ralph J DeBerardinis; Kayvan R Keshari
Journal:  Cell       Date:  2022-07-14       Impact factor: 66.850

Review 3.  Single cell metabolism: current and future trends.

Authors:  Ahmed Ali; Shawn Davidson; Ernest Fraenkel; Ian Gilmore; Thomas Hankemeier; Jennifer A Kirwan; Andrew N Lane; Ingela Lanekoff; Mioara Larion; Laura-Isobel McCall; Michael Murphy; Jonathan V Sweedler; Caigang Zhu
Journal:  Metabolomics       Date:  2022-10-01       Impact factor: 4.747

Review 4.  Functions of Stress-Induced Lipid Droplets in the Nervous System.

Authors:  Eva Islimye; Victor Girard; Alex P Gould
Journal:  Front Cell Dev Biol       Date:  2022-04-14

5.  Analyzing cell-type-specific dynamics of metabolism in kidney repair.

Authors:  Gangqi Wang; Bram Heijs; Sarantos Kostidis; Ahmed Mahfouz; Rosalie G J Rietjens; Roel Bijkerk; Angela Koudijs; Loïs A K van der Pluijm; Cathelijne W van den Berg; Sébastien J Dumas; Peter Carmeliet; Martin Giera; Bernard M van den Berg; Ton J Rabelink
Journal:  Nat Metab       Date:  2022-08-25

Review 6.  Mass spectrometry-based approaches to explore metabolism regulating ferroptosis.

Authors:  Chi Thi Ngoc Nguyen; Seon Min Kim; Yun Pyo Kang
Journal:  BMB Rep       Date:  2022-09       Impact factor: 5.041

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.