Effect of Constitution on Mass of Individual Organs and Their Association with Metabolic Rate in Humans—A Detailed View on Allometric Scaling
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{"title"=>"Effect of constitution on mass of individual organs and their association with metabolic rate in Humans-A detailed view on allometric scaling", "type"=>"journal", "authors"=>[{"first_name"=>"Manfred J.", "last_name"=>"Müller", "scopus_author_id"=>"7404689295"}, {"first_name"=>"Dirk", "last_name"=>"Langemann", "scopus_author_id"=>"56189162200"}, {"first_name"=>"Isabel", "last_name"=>"Gehrke", "scopus_author_id"=>"48261048300"}, {"first_name"=>"Wiebke", "last_name"=>"Later", "scopus_author_id"=>"23497374100"}, {"first_name"=>"Martin", "last_name"=>"Heller", "scopus_author_id"=>"36916942300"}, {"first_name"=>"Claus C.", "last_name"=>"Glüer", "scopus_author_id"=>"7801362366"}, {"first_name"=>"Steven B.", "last_name"=>"Heymsfield", "scopus_author_id"=>"36038154600"}, {"first_name"=>"Anja", "last_name"=>"Bosy-Westphal", "scopus_author_id"=>"6602639763"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-79960764936", "pui"=>"362223710", "doi"=>"10.1371/journal.pone.0022732", "sgr"=>"79960764936", "pmid"=>"21818376"}, "id"=>"90a9bedc-4d77-343f-8b3e-1e7f12ac20ca", "abstract"=>"Resting energy expenditure (REE)-power relationships result from multiple underlying factors including weight and height. In addition, detailed body composition, including fat free mass (FFM) and its components, skeletal muscle mass and internal organs with high metabolic rates (i.e. brain, heart, liver, kidneys), are major determinants of REE. Since the mass of individual organs scales to height as well as to weight (and, thus, to constitution), the variance in these associations may also add to the variance in REE. Here we address body composition (measured by magnetic resonance imaging) and REE (assessed by indirect calorimetry) in a group of 330 healthy volunteers differing with respect to age (17-78 years), sex (61% female) and BMI (15.9-47.8 kg/m(2)). Using three dimensional data interpolation we found that the inter-individual variance related to scaling of organ mass to height and weight and, thus, the constitution-related variances in either FFM (model 1) or kidneys, muscle, brain and liver (model 2) explained up to 43% of the inter-individual variance in REE. These data are the first evidence that constitution adds to the complexity of REE. Since organs scale differently as weight as well as height the \"fit\" of organ masses within constitution should be considered as a further trait.", "link"=>"http://www.mendeley.com/research/effect-constitution-mass-individual-organs-association-metabolic-rate-humansa-detailed-view-allometr", "reader_count"=>33, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>4, "Researcher"=>5, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Other"=>4, "Student > Master"=>2, "Student > Bachelor"=>3, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>4, "Researcher"=>5, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Other"=>4, "Student > Master"=>2, "Student > Bachelor"=>3, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>2, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>14, "Medicine and Dentistry"=>7, "Arts and Humanities"=>1, "Sports and Recreations"=>6, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Sports and Recreations"=>{"Sports and Recreations"=>6}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>14}, "Computer Science"=>{"Computer Science"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"Colombia"=>1, "Austria"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/752174"], "description"=>"<p>*p<0.05.</p><p>**p<0.01.</p><p>W, weight, H, height; FM, fat mass; FFM, fat-free mass; MM, muscle mass; DXA, Dual X-ray Absorptiometry; MRI, Magnetic Resonance Imaging; REE, resting energy expenditure.</p>", "links"=>[], "tags"=>["coefficients", "controlled", "regression", "equations", "metabolic", "organs", "tissues", "ree"], "article_id"=>422535, "categories"=>["Physiology", "Mathematics", "Medicine", "Cell Biology"], "users"=>["Manfred J. Müller", "Dirk Langemann", "Isabel Gehrke", "Wiebke Later", "Martin Heller", "Claus C. Glüer", "Steven B. Heymsfield", "Anja Bosy-Westphal"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022732.t002", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Partial_correlation_coefficients_controlled_for_age_and_regression_equations_between_high_metabolic_rate_organs_and_tissues_as_well_as_REE_and_either_body_weight_or_height_n_8202_8202_262_/422535", "title"=>"Partial correlation coefficients controlled for age and regression equations between high metabolic rate organs and tissues as well as REE and either body weight or height (n = 262).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 16:20:43"}
  • {"files"=>["https://ndownloader.figshare.com/files/752260"], "description"=>"<p>DXA, Dual X-ray Absorptiometry; FM, fat mass; FFM, fat-free mass; MM, muscle mass; MRI, Magnetic Resonance Imaging; REE, resting energy expenditure, SEE, standard error of the estimate.</p><p>Calculation was based on functions as derived from three dimensional plots as shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0022732#pone-0022732-g001\" target=\"_blank\">Fig. 1</a>.</p>", "links"=>[], "tags"=>["deviations", "variances", "parameters", "ree", "calculated"], "article_id"=>422627, "categories"=>["Physiology", "Mathematics", "Medicine", "Cell Biology"], "users"=>["Manfred J. Müller", "Dirk Langemann", "Isabel Gehrke", "Wiebke Later", "Martin Heller", "Claus C. Glüer", "Steven B. Heymsfield", "Anja Bosy-Westphal"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022732.t004", "stats"=>{"downloads"=>3, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Percentage_mean_deviations_and_variances_of_body_composition_parameters_and_REE_between_measured_and_calculated_values_n_8202_8202_260_means_range_/422627", "title"=>"Percentage mean deviations and variances of body composition parameters and REE between measured and calculated values (n = 260) (means, range).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 16:21:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/752060"], "description"=>"<p>REE plotted against height and weight for men and women.</p>", "links"=>[], "tags"=>["plotted", "men"], "article_id"=>422429, "categories"=>["Physiology", "Mathematics", "Medicine", "Cell Biology"], "users"=>["Manfred J. Müller", "Dirk Langemann", "Isabel Gehrke", "Wiebke Later", "Martin Heller", "Claus C. Glüer", "Steven B. Heymsfield", "Anja Bosy-Westphal"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022732.g002", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_REE_plotted_against_height_and_weight_for_men_and_women_/422429", "title"=>"REE plotted against height and weight for men and women.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 16:20:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/752307"], "description"=>"<p>*p<0.05;</p><p>**p<0.01; REE, resting energy expenditure; MM, muscle mass; DXA, Dual X-ray Absorptiometry; MRI, Magnetic Resonance Imaging.</p>", "links"=>[], "tags"=>["coefficients", "masses", "adjusted", "ree", "controlled"], "article_id"=>422666, "categories"=>["Physiology", "Mathematics", "Medicine", "Cell Biology"], "users"=>["Manfred J. Müller", "Dirk Langemann", "Isabel Gehrke", "Wiebke Later", "Martin Heller", "Claus C. Glüer", "Steven B. Heymsfield", "Anja Bosy-Westphal"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022732.t005", "stats"=>{"downloads"=>4, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Partial_correlation_coefficients_between_muscle_and_organ_masses_non_adjusted_and_adjusted_for_constitution_and_REE_controlled_for_age_n_8202_8202_262_/422666", "title"=>"Partial correlation coefficients between muscle and organ masses (non-adjusted and adjusted for constitution) and REE controlled for age (n = 262).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 16:21:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/752210"], "description"=>"<p>MM, muscle mass; DXA, Dual X-ray Absorptiometry; MRI, Magnetic Resonance Imaging, SEE, standard error of the estimate.</p>", "links"=>[], "tags"=>["masses", "adjusted"], "article_id"=>422584, "categories"=>["Physiology", "Mathematics", "Medicine", "Cell Biology"], "users"=>["Manfred J. Müller", "Dirk Langemann", "Isabel Gehrke", "Wiebke Later", "Martin Heller", "Claus C. Glüer", "Steven B. Heymsfield", "Anja Bosy-Westphal"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022732.t003", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Muscle_and_organ_masses_adjusted_for_body_height_and_weight_n_8202_8202_260_means_177_SD_range_/422584", "title"=>"Muscle and organ masses adjusted for body height and weight (n = 260) (means±SD, range).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 16:20:58"}
  • {"files"=>["https://ndownloader.figshare.com/files/752347"], "description"=>"<p>Significant F statistic (p<0,001) for both regression models.</p><p><b>Model 1:</b> independent variables [REE (%)]: FM<sub>DXA</sub>(%), FFM<sub>DXA</sub>(%).</p><p><b>Model 2:</b><i>independent Variables [REE (%)]:</i> FM<sub>DXA</sub>(%), MM<sub>DXA</sub>(%), brain<sub>MRI</sub>(%), heart<sub>MRI</sub>(%), liver<sub>MRI</sub>(%), kidneys<sub>MRI</sub>(%), spleen<sub>MRI</sub>(%).</p>", "links"=>[], "tags"=>["stepwise", "regression", "analyses", "explained", "variance", "ree", "deviations", "calculates"], "article_id"=>422707, "categories"=>["Physiology", "Mathematics", "Medicine", "Cell Biology"], "users"=>["Manfred J. Müller", "Dirk Langemann", "Isabel Gehrke", "Wiebke Later", "Martin Heller", "Claus C. Glüer", "Steven B. Heymsfield", "Anja Bosy-Westphal"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022732.t006", "stats"=>{"downloads"=>1, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multiple_stepwise_regression_analyses_for_explained_variance_of_REE_independent_of_constitution_in_percentage_mean_deviations_between_measured_and_calculates_values_n_8202_8202_262_/422707", "title"=>"Multiple stepwise regression analyses for explained variance of REE independent of constitution in percentage mean deviations between measured and calculates values (n = 262).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 16:21:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/752135"], "description"=>"<p>*p<0.01 for sex differences (t-Test).</p><p>BMI, body mass index; WC, waist circumference; DXA, Dual Energy X-ray Absorptiometry; FM, fat mass; FFM, fat-free mass; MM, muscle mass; MRI, Magnetic Resonance Imaging; REE, resting energy expenditure, REEadj, resting energy expenditure adjusted for FFM, SEE, standard error of the estimate.</p>", "links"=>[], "tags"=>["anthropometric", "prevalence", "overweight", "resting", "expenditure"], "article_id"=>422500, "categories"=>["Physiology", "Mathematics", "Medicine", "Cell Biology"], "users"=>["Manfred J. Müller", "Dirk Langemann", "Isabel Gehrke", "Wiebke Later", "Martin Heller", "Claus C. Glüer", "Steven B. Heymsfield", "Anja Bosy-Westphal"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022732.t001", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characterisation_of_the_study_population_anthropometric_data_prevalence_of_overweight_and_obesity_body_composition_and_resting_energy_expenditure_means_177_SD_range_n_8202_8202_262_/422500", "title"=>"Characterisation of the study population: anthropometric data, prevalence of overweight and obesity, body composition and resting energy expenditure (means ±SD, range) (n = 262).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 16:20:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/751954"], "description"=>"<p>Masses of brain, heart, liver, kidneys and spleen plotted against height and weight for men (a,c,e,g,i) and women (b.d,f,h,j).</p>", "links"=>[], "tags"=>["kidneys", "spleen", "plotted", "men", "women"], "article_id"=>422305, "categories"=>["Physiology", "Mathematics", "Medicine", "Cell Biology"], "users"=>["Manfred J. Müller", "Dirk Langemann", "Isabel Gehrke", "Wiebke Later", "Martin Heller", "Claus C. Glüer", "Steven B. Heymsfield", "Anja Bosy-Westphal"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0022732.g001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Masses_of_brain_heart_liver_kidneys_and_spleen_plotted_against_height_and_weight_for_men_a_c_e_g_i_and_women_b_d_f_h_j_/422305", "title"=>"Masses of brain, heart, liver, kidneys and spleen plotted against height and weight for men (a,c,e,g,i) and women (b.d,f,h,j).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 16:19:28"}

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Relative Metric

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