Literature DB >> 7506440

Substrate uptake and utilization by the kidney of fed and starved rats in vivo.

M Elhamri1, M Martin, B Ferrier, G Baverel.   

Abstract

In order to obtain information (1) on the quantitative contribution of various circulating substrates to renal metabolism and (2) on the relative importance of net luminal and basolateral transport for substrate uptake, we have precisely quantified the renal blood flow, the urinary flow, and the rates of substrate handling by the kidney of anesthetized fed and 72-hour-starved rats. For this, the concentration of twelve metabolites were simultaneously measured in arterial and venous whole blood and plasma as well as in urine of each rat thanks to the use of microassays based on enzymatic cycling. In fed rats, the main potential energy sources were glucose and lactate followed by fatty acids, ketone bodies, citrate and glycerol. Starvation caused a large increase in renal uptake and metabolism of fatty acids, ketone bodies, glutamine and glycerol, and a large inhibition of lactate utilization. The net peritubular uptake of acetoacetate, citrate, glycerol and free fatty acids demonstrated in both nutritional states was increased by starvation only for glycerol and free fatty acids; net peritubular efflux of both beta-hydroxybutyrate and ammonium ions was stimulated whereas that of glutamine was converted into net peritubular uptake by starvation.

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Year:  1993        PMID: 7506440     DOI: 10.1159/000173777

Source DB:  PubMed          Journal:  Ren Physiol Biochem        ISSN: 1011-6524


  11 in total

1.  Kidney triglyceride accumulation in the fasted mouse is dependent upon serum free fatty acids.

Authors:  Diego Scerbo; Ni-Huiping Son; Alaa Sirwi; Lixia Zeng; Kelli M Sas; Vincenza Cifarelli; Gabriele Schoiswohl; Lesley-Ann Huggins; Namrata Gumaste; Yunying Hu; Subramaniam Pennathur; Nada A Abumrad; Erin E Kershaw; M Mahmood Hussain; Katalin Susztak; Ira J Goldberg
Journal:  J Lipid Res       Date:  2017-04-12       Impact factor: 5.922

Review 2.  Renal lipid metabolism and lipotoxicity.

Authors:  Ion Alexandru Bobulescu
Journal:  Curr Opin Nephrol Hypertens       Date:  2010-07       Impact factor: 2.894

3.  Genome-Scale Model-Based Identification of Metabolite Indicators for Early Detection of Kidney Toxicity.

Authors:  Venkat R Pannala; Kalyan C Vinnakota; Shanea K Estes; Irina Trenary; Tracy P OˈBrien; Richard L Printz; Jason A Papin; Jaques Reifman; Tatsuya Oyama; Masakazu Shiota; Jamey D Young; Anders Wallqvist
Journal:  Toxicol Sci       Date:  2020-02-01       Impact factor: 4.849

Review 4.  Lipid metabolism in sickness and in health: Emerging regulators of lipotoxicity.

Authors:  Haejin Yoon; Jillian L Shaw; Marcia C Haigis; Anna Greka
Journal:  Mol Cell       Date:  2021-09-16       Impact factor: 19.328

5.  Effect of starvation on glutamine ammoniagenesis and gluconeogenesis in isolated mouse kidney tubules.

Authors:  Agnès Conjard; Virginie Brun; Mireille Martin; Gabriel Baverel; Bernard Ferrier
Journal:  Biochem J       Date:  2002-11-15       Impact factor: 3.857

6.  Hnf4a Is Required for the Development of Cdh6-Expressing Progenitors into Proximal Tubules in the Mouse Kidney.

Authors:  Sierra S Marable; Eunah Chung; Joo-Seop Park
Journal:  J Am Soc Nephrol       Date:  2020-08-06       Impact factor: 10.121

7.  Complexity of glutamine metabolism in kidney tubules from fed and fasted rats.

Authors:  Barbara Vercoutère; Daniel Durozard; Gabriel Baverel; Guy Martin
Journal:  Biochem J       Date:  2004-03-01       Impact factor: 3.857

8.  Proximal Tubular Cell-Specific Ablation of Carnitine Acetyltransferase Causes Tubular Disease and Secondary Glomerulosclerosis.

Authors:  Claudia Kruger; Trang-Tiffany Nguyen; Chelsea Breaux; Alana Guillory; Margaret Mangelli; Kevin T Fridianto; Jean-Paul Kovalik; David H Burk; Robert C Noland; Randall Mynatt; Krisztian Stadler
Journal:  Diabetes       Date:  2019-02-06       Impact factor: 9.461

9.  Comprehensive metabolomic study of the response of HK-2 cells to hyperglycemic hypoxic diabetic-like milieu.

Authors:  Alberto Valdés; Francisco J Lucio-Cazaña; María Castro-Puyana; Coral García-Pastor; Oliver Fiehn; María Luisa Marina
Journal:  Sci Rep       Date:  2021-03-03       Impact factor: 4.379

10.  Predicting changes in renal metabolism after compound exposure with a genome-scale metabolic model.

Authors:  Kristopher D Rawls; Bonnie V Dougherty; Kalyan C Vinnakota; Venkat R Pannala; Anders Wallqvist; Glynis L Kolling; Jason A Papin
Journal:  Toxicol Appl Pharmacol       Date:  2020-12-31       Impact factor: 4.219

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