Literature DB >> 1859359

Metabolic substrate utilization by tumour and host tissues in cancer cachexia.

H D Mulligan1, M J Tisdale.   

Abstract

Utilization of metabolic substrates in tumour and host tissues was determined in the presence or absence of two colonic tumours, the MAC16, which is capable of inducing cachexia in recipient animals, and the MAC13, which is of the same histological type, but without the effect on host body composition. Glucose utilization by different tissues was determined in vivo by the 2-deoxyglucose tracer technique. Glucose utilization by the MAC13 tumour was significantly higher than by the MAC16 tumour, and in animals bearing tumours of either type the tumour was the second major consumer of glucose after the brain. This extra demand for glucose was accompanied by a marked decrease in glucose utilization by the epididymal fat-pads, testes, colon, spleen, kidney and, in particular, the brain, in tumour-bearing animals irrespective of cachexia. The decrease in glucose consumption by the brain was at least as high as the metabolic demand by the tumour. This suggests that the tissues of tumour-bearing animals adapt to use substrates other than glucose and that alterations in glucose utilization are not responsible for the cachexia. Studies in vitro showed that brain metabolism in the tumour-bearing state was maintained by an increased use of lactate and 3-hydroxybutyrate, accompanied by a 50% increase in 3-oxoacid CoA-transferase. This was supported by studies in vivo which showed an increased metabolism of 3-hydroxybutyrate in tumour-bearing animals. Thus ketone bodies may be utilized as a metabolic fuel during the cancer-bearing state, even though the nutritional conditions mimic the fed state.

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Year:  1991        PMID: 1859359      PMCID: PMC1151235          DOI: 10.1042/bj2770321

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  23 in total

1.  Amino acid, glucose, and lactic acid utilization in vivo by rat tumors.

Authors:  L A Sauer; J W Stayman; R T Dauchy
Journal:  Cancer Res       Date:  1982-10       Impact factor: 12.701

2.  Production of lipolytic and proteolytic factors by a murine tumor-producing cachexia in the host.

Authors:  S A Beck; M J Tisdale
Journal:  Cancer Res       Date:  1987-11-15       Impact factor: 12.701

3.  A method to quantify glucose utilization in vivo in skeletal muscle and white adipose tissue of the anaesthetized rat.

Authors:  P Ferré; A Leturque; A F Burnol; L Penicaud; J Girard
Journal:  Biochem J       Date:  1985-05-15       Impact factor: 3.857

4.  Tumor necrosis factor increases in vivo glucose utilization of macrophage-rich tissues.

Authors:  K Mészáros; C H Lang; G J Bagby; J J Spitzer
Journal:  Biochem Biophys Res Commun       Date:  1987-11-30       Impact factor: 3.575

5.  Characterization of a transplantable adenocarcinoma of the mouse colon producing cachexia in recipient animals.

Authors:  M C Bibby; J A Double; S A Ali; K C Fearon; R A Brennan; M J Tisdale
Journal:  J Natl Cancer Inst       Date:  1987-03       Impact factor: 13.506

6.  In vivo lactate production and utilization by Jensen sarcoma and Morris hepatoma 7288CTC.

Authors:  L A Sauer; R T Dauchy
Journal:  Cancer Res       Date:  1986-02       Impact factor: 12.701

7.  Etiology of anorexia in cancer.

Authors:  I L Bernstein
Journal:  Cancer       Date:  1986-10-15       Impact factor: 6.860

8.  Glucose utilization in vivo by human pulmonary neoplasms.

Authors:  K B Nolop; C G Rhodes; L H Brudin; R P Beaney; T Krausz; T Jones; J M Hughes
Journal:  Cancer       Date:  1987-12-01       Impact factor: 6.860

9.  Contributions of glycolysis and oxidative phosphorylation to adenosine 5'-triphosphate production in AS-30D hepatoma cells.

Authors:  R A Nakashima; M G Paggi; P L Pedersen
Journal:  Cancer Res       Date:  1984-12       Impact factor: 12.701

10.  Suppression of glucose utilization of murine peritoneal exudate macrophages by body fluids from cancer patients and identification of the susceptible enzyme.

Authors:  K Nakamura; Y Nakajima; Y Nakamura
Journal:  J Natl Cancer Inst       Date:  1986-11       Impact factor: 13.506

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  10 in total

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Authors:  C Tournu; A Obled; M P Roux; M Ferrara; S Omura; D M Béchet
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2.  Proteomic profiling of the hypothalamus in a mouse model of cancer-induced anorexia-cachexia.

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3.  Tumour-associated hypoglycaemia in a murine cachexia model.

Authors:  T M McDevitt; M J Tisdale
Journal:  Br J Cancer       Date:  1992-11       Impact factor: 7.640

4.  Lipid metabolism in cancer cachexia.

Authors:  H D Mulligan; S A Beck; M J Tisdale
Journal:  Br J Cancer       Date:  1992-07       Impact factor: 7.640

5.  Effect of a cachectic factor on carbohydrate metabolism and attenuation by eicosapentaenoic acid.

Authors:  H J Hussey; M J Tisdale
Journal:  Br J Cancer       Date:  1999-06       Impact factor: 7.640

6.  Non-Toxic Metabolic Management of Metastatic Cancer in VM Mice: Novel Combination of Ketogenic Diet, Ketone Supplementation, and Hyperbaric Oxygen Therapy.

Authors:  A M Poff; N Ward; T N Seyfried; P Arnold; D P D'Agostino
Journal:  PLoS One       Date:  2015-06-10       Impact factor: 3.240

7.  Relating tissue/organ energy expenditure to metabolic fluxes in mouse and human: experimental data integrated with mathematical modeling.

Authors:  China M Kummitha; Satish C Kalhan; Gerald M Saidel; Nicola Lai
Journal:  Physiol Rep       Date:  2014-09-28

8.  Dietary fat overcomes the protective activity of thrombospondin-1 signaling in the Apc(Min/+) model of colon cancer.

Authors:  D R Soto-Pantoja; J M Sipes; G Martin-Manso; B Westwood; N L Morris; A Ghosh; N J Emenaker; D D Roberts
Journal:  Oncogenesis       Date:  2016-05-30       Impact factor: 7.485

9.  Body protein and lipid deficit in tumour-bearing rats in relation to age.

Authors:  H Oudart; A Heitz; M Bnouham; A Malan; Y Le Maho
Journal:  Br J Cancer       Date:  1993-11       Impact factor: 7.640

Review 10.  Inflammation based regulation of cancer cachexia.

Authors:  Jill K Onesti; Denis C Guttridge
Journal:  Biomed Res Int       Date:  2014-05-04       Impact factor: 3.411

  10 in total

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