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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Daniel T. Dempsey; Irene D. Feurer; Linda S. Knox; Lon O. Crosby; +2 Authors

    Cancer cachexia, a common finding in patients with gastrointestinal (GI) malignancy, is frequently attributed to tumor-induced aberrations in host energy expenditure. To characterize the frequency and severity of aberrations in energy expenditure in GI cancer patients, and to identify the potential influence of tumor characteristics in this group, the authors measured resting energy expenditure (REE) by indirect calorimetry in 173 patients and compared REE to predicted-energy expenditure (PEE) from the Harris-Benedict formulae based on current body weight. Fifty-eight percent of patients had abnormal REE (normal REE = +/- 10% PEE); 36% (62 of 173) were hypometabolic (REE less than 90% PEE), and 22% (39 of 173) were hypermetabolic (REE greater than 110% PEE). Host and tumor factors were compared between metabolic groups to identify potential determinants of abnormal energy expenditure. Differences between groups cannot be explained by differences in patient age, sex, body size, nutritional status, tumor burden, or duration of disease. Resting energy expenditure does not correlate with percent of weight loss, serum albumin, or duration of disease. Analysis by tumor site reveals patients with pancreatic or hepatobiliary tumors to be predominantly hypometabolic; gastric cancer patients tend to be hypermetabolic, whereas patients with colorectal or esophageal neoplasms are more evenly distributed across metabolic groups, the largest portion being normometabolic (X2 = 20.7, P less than 0.02). The majority of GI cancer patients have abnormal REE which is unpredictable and not uniformly hypermetabolic. The determinants of these abnormalities do not appear to be age, sex, body size, nutritional status or tumor burden. Primary tumor site is a major determinant of energy expenditure in GI cancer patients.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Cancerarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Cancer
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Cancerarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Cancer
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  • Authors: James D. Luketich; James L. Mullen; Irene D. Feurer; Jonathan Sternlieb; +1 Authors

    Resting energy expenditure is abnormal in most patients with cancer and may contribute to cancer cachexia. These metabolic abnormalities may be a direct measure of tumor metabolism, or represent alterations in the size or activity of the body cell mass, or both. To unravel this pathogenesis, we prospectively studied 68 preoperative patients with cancer about to undergo curative resection by measuring resting energy expenditure before and after tumor resection. The preoperative measured resting energy expenditure was compared with expected resting energy expenditure based on Harris-Benedict resting energy expenditure predictions: 10 patients were hypometabolic (less than 90% Harris-Benedict); 35 were normometabolic (90% to 110% Harris-Benedict); and 23 were hypermetabolic (greater than 110% Harris-Benedict). Using each patient as his or her own control, resting energy expenditure normalized or remained normal following curative resection. In contrast, after palliative resection, resting energy expenditure remained hypermetabolic or significantly increased toward hypermetabolism. Tumor induces an abnormal metabolic rate, since tumor removal results in prompt normalization of resting energy expenditure. The abnormal energy expenditure of patients with cancer cannot be solely attributed to abnormal host body composition.

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  • Authors: Christine Wanke;

    Weight loss is a negative prognostic indicator in patients infected with HIV. Mortality rates rise measurably with as little as 3-5% weight loss over 6 months. The sensitivity of this measure is at least partly due to the correlation between weight loss and a metabolic cachexia that has been observed with other infections, trauma, and some cancers. However, the cachexia in patients with HIV, commonly termed wasting, may also be due to, or exacerbated by, reduced caloric intake, gastrointestinal dysfunction, or metabolic abnormalities independent of abnormal energy expenditure. In patients with HIV wasting, therapies should be directed both at reversing the underlying source of protein energy malnutrition and at other factors that may be contributing to weight loss.

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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.
3 Research products (1 rule applied)
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Daniel T. Dempsey; Irene D. Feurer; Linda S. Knox; Lon O. Crosby; +2 Authors

    Cancer cachexia, a common finding in patients with gastrointestinal (GI) malignancy, is frequently attributed to tumor-induced aberrations in host energy expenditure. To characterize the frequency and severity of aberrations in energy expenditure in GI cancer patients, and to identify the potential influence of tumor characteristics in this group, the authors measured resting energy expenditure (REE) by indirect calorimetry in 173 patients and compared REE to predicted-energy expenditure (PEE) from the Harris-Benedict formulae based on current body weight. Fifty-eight percent of patients had abnormal REE (normal REE = +/- 10% PEE); 36% (62 of 173) were hypometabolic (REE less than 90% PEE), and 22% (39 of 173) were hypermetabolic (REE greater than 110% PEE). Host and tumor factors were compared between metabolic groups to identify potential determinants of abnormal energy expenditure. Differences between groups cannot be explained by differences in patient age, sex, body size, nutritional status, tumor burden, or duration of disease. Resting energy expenditure does not correlate with percent of weight loss, serum albumin, or duration of disease. Analysis by tumor site reveals patients with pancreatic or hepatobiliary tumors to be predominantly hypometabolic; gastric cancer patients tend to be hypermetabolic, whereas patients with colorectal or esophageal neoplasms are more evenly distributed across metabolic groups, the largest portion being normometabolic (X2 = 20.7, P less than 0.02). The majority of GI cancer patients have abnormal REE which is unpredictable and not uniformly hypermetabolic. The determinants of these abnormalities do not appear to be age, sex, body size, nutritional status or tumor burden. Primary tumor site is a major determinant of energy expenditure in GI cancer patients.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Cancerarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Cancer
    Article
    Data sources: UnpayWall
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    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.
    126
    citations126
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Cancerarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Cancer
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      Data sources: UnpayWall
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  • Authors: James D. Luketich; James L. Mullen; Irene D. Feurer; Jonathan Sternlieb; +1 Authors

    Resting energy expenditure is abnormal in most patients with cancer and may contribute to cancer cachexia. These metabolic abnormalities may be a direct measure of tumor metabolism, or represent alterations in the size or activity of the body cell mass, or both. To unravel this pathogenesis, we prospectively studied 68 preoperative patients with cancer about to undergo curative resection by measuring resting energy expenditure before and after tumor resection. The preoperative measured resting energy expenditure was compared with expected resting energy expenditure based on Harris-Benedict resting energy expenditure predictions: 10 patients were hypometabolic (less than 90% Harris-Benedict); 35 were normometabolic (90% to 110% Harris-Benedict); and 23 were hypermetabolic (greater than 110% Harris-Benedict). Using each patient as his or her own control, resting energy expenditure normalized or remained normal following curative resection. In contrast, after palliative resection, resting energy expenditure remained hypermetabolic or significantly increased toward hypermetabolism. Tumor induces an abnormal metabolic rate, since tumor removal results in prompt normalization of resting energy expenditure. The abnormal energy expenditure of patients with cancer cannot be solely attributed to abnormal host body composition.

    addClaim

    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.
    29
    citations29
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  • Authors: Christine Wanke;

    Weight loss is a negative prognostic indicator in patients infected with HIV. Mortality rates rise measurably with as little as 3-5% weight loss over 6 months. The sensitivity of this measure is at least partly due to the correlation between weight loss and a metabolic cachexia that has been observed with other infections, trauma, and some cancers. However, the cachexia in patients with HIV, commonly termed wasting, may also be due to, or exacerbated by, reduced caloric intake, gastrointestinal dysfunction, or metabolic abnormalities independent of abnormal energy expenditure. In patients with HIV wasting, therapies should be directed both at reversing the underlying source of protein energy malnutrition and at other factors that may be contributing to weight loss.

    addClaim

    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.
    16
    citations16
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