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Stable isotope resolved metabolomics of lung cancer in a SCID mouse model

Producción científica: Articlerevisión exhaustiva

97 Citas (Scopus)

Resumen

We have determined the time course of [U-13C]-glucose utilization and transformations in SCID mice via bolus injection of the tracer in the tail vein. Incorporation of 13C into metabolites extracted from mouse blood plasma and several tissues (lung, heart, brain, liver, kidney, and skeletal muscle) were profiled by NMR and GC-MS, which helped ascertain optimal sampling times for different target tissues. We found that the time for overall optimal 13C incorporation into tissue was 15-20 min but with substantial differences in 13C labeling patterns of various organs that reflected their specific metabolism. Using this stable isotope resolved metabolomics (SIRM) approach, we have compared the 13C metabolite profile of the lungs in the same mouse with or without an orthotopic lung tumor xenograft established from human PC14PE6 lung adenocarcinoma cells. The 13C metabolite profile shows considerable differences in [U-13C]-glucose transformations between the two lung tissues, demonstrating the feasibility of applying SIRM to investigate metabolic networks of human cancer xenograft in the mouse model.

Idioma originalEnglish
Páginas (desde-hasta)257-269
Número de páginas13
PublicaciónMetabolomics
Volumen7
N.º2
DOI
EstadoPublished - jul 2011

Nota bibliográfica

Funding Information:
Acknowledgments This work was supported in part by National Science Foundation EPSCoR grant # EPS-0447479, NIH Grant Number P20RR018733 from the National Center for Research Resources, 1R01CA118434-01A2 (to TWMF), R01CA-086412 and RO1 CA150947 (to JY) from the National Cancer Institute, the Kentucky Challenge for Excellence, Susan G. Komen Foundation BCTR0503648 and NCI R21CA133688 (to ANL), and the Brown Foundation. We thank J. Tan, Ruifeng Su and Mr. Richard Hansen for technical assistance. We also thank the two reviewers for many useful comments and additional references to improve the manuscript.

Financiación

Acknowledgments This work was supported in part by National Science Foundation EPSCoR grant # EPS-0447479, NIH Grant Number P20RR018733 from the National Center for Research Resources, 1R01CA118434-01A2 (to TWMF), R01CA-086412 and RO1 CA150947 (to JY) from the National Cancer Institute, the Kentucky Challenge for Excellence, Susan G. Komen Foundation BCTR0503648 and NCI R21CA133688 (to ANL), and the Brown Foundation. We thank J. Tan, Ruifeng Su and Mr. Richard Hansen for technical assistance. We also thank the two reviewers for many useful comments and additional references to improve the manuscript.

FinanciadoresNúmero del financiador
Kentucky Challenge for Excellence
National Science Foundation/EPSCoREPS-0447479
National Institutes of Health (NIH)P20RR018733
National Childhood Cancer Registry – National Cancer InstituteR21CA133688
National Center for Research ResourcesRO1 CA150947, 1R01CA118434-01A2, R01CA-086412
Brown Foundation
Susan G Komen FoundationBCTR0503648

    ODS de las Naciones Unidas

    Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

    1. Good health and well being
      Good health and well being

    ASJC Scopus subject areas

    • Endocrinology, Diabetes and Metabolism
    • Biochemistry
    • Clinical Biochemistry

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