The Relationship of Renal Oxygen Consumption to Renal Function and Weight in Individuals With Normal and Diseased Kidneys*

Crosley, Archer P.; Castillo, Cesar A.; Rowe, George G.

doi:10.1172/jci104317

Cited by 8 publications

(3 citation statements)

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“…The renal oxygen consumption for dog kidney is 125 ,ul/g wet kidney/min [47] and that for man is 55 /x\/g wet kidney/min [11]. An analysis of hepatic oxygen consumption in several species demonstrated that the consumption increased at a rate only slightly greater than metabolic rate, i. e., OMR/g liver decreased in a manner nearly parallel to the BMR/kg [6].…”

Section: Postulate 1 Most Of the Bmr Of An Organism Is Derived From mentioning

confidence: 97%

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The Relation of Metabolic Rate to Body Weight and Organ Size

et al. 1967

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Section: Postulate 1 Most Of the Bmr Of An Organism Is Derived From mentioning

confidence: 97%

“…Applying the same technic to the kidney, CROSLEY e't al. [11] reported that renal oxygen consumption in young male adults was 5.5 ml/100 g kidney/min or 400 cal/kg/day. Liver oxygen consumption has had to be derived from splanchnic oxygen consumption.…”

Section: Postulate 1 Most Of the Bmr Of An Organism Is Derived From mentioning

confidence: 99%

The Relation of Metabolic Rate to Body Weight and Organ Size

et al. 1967

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“…In vivo tissue or organ oxygen consumption has been suggested to be related to tissue/organ mass or functional mass (e.g. cardiac output or tubular maximal secretory capacity for sodium para‐aminohippurate) [33,34]. However, increases in tissue mass may not reflect an increase in metabolically active tissue mass, e.g.…”

Section: Is Organ‐ or Tissue‐respiration Rate Constant?mentioning

confidence: 99%

Metabolically active components of fat‐free mass and resting energy expenditure in humans: recent lessons from imaging technologies

Bosy‐Westphal²,

et al. 2002

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Imaging technologies, i.e. magnetic resonance imaging (MRI), computer tomography (CT) and dual-energy X-ray absorptiometry (DEXA), are precise and accurate techniques used to study lean body mass and adipose tissue distribution. CT and MRI can also be used to assess metabolically active components of fat-free mass (FFM). (Throughout this article, metabolic activity is defined with respect to oxidative metabolism.) To date a total of 116 in vivo measurements of organ masses (OM), in combination with the measurement of resting energy expenditure (REE), have been reported. These data suggest that MRI- or CT-derived OM explains part (approximately 5-10%) of the interindividual variance in REE. The data also suggest that REE can be reconstructed from detailed body composition analysis. Calculating REE from the sum of individual OM multiplied by a constant organ tissue-respiration rate showed a high correlation between calculated and measured REE, with only small and non-significant differences of 83-96 kJ d-1. In addition to CT- and MRI-derived OM, data are available of 244 obese and non-obese subjects regarding the association between regional components of lean body mass (LBM, assessed by DEXA) and REE. These results suggest that measurement of LBM distribution also provides the opportunity to adjust for the non-linearity of REE on body mass. Assessment of metabolically active components of FFM or LBM may also add to our understanding of malnutrition-, obesity- and disease states-related variance in REE. There is need for (1) standardization of imaging technology in body composition research; (2) reference data on detailed body composition, also including more recent autopsy data; (3) reducing the number of assumptions in model-based predictions; and (4) a combination of imaging technologies with in vivo measurements of individual OM respiration.

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