Skip to main content
Erschienen in: Clinical Pharmacokinetics 4/2020

04.10.2019 | Original Research Article

Evaluating the Relationship Between Lean Liver Volume and Fat-Free Mass

verfasst von: Jaydeep Sinha, Stephen B. Duffull, Bruce Green, Hesham S. Al-Sallami

Erschienen in: Clinical Pharmacokinetics | Ausgabe 4/2020

Einloggen, um Zugang zu erhalten

Abstract

Background

Fat-free mass has gained wide acceptance as a scaler of the maintenance dose rate in obese patients. The choice of fat-free mass as a size scaler for the maintenance dose rate is based on its relationship with drug clearance, on the basis that only lean tissue is sufficiently metabolically active to provide capacity for elimination. For xenobiotics, the majority of biotransformation occurs in the liver and hence fat-free mass is implied to scale linearly with the component of liver that is metabolically active. The liver, like the body, can be assumed to comprise two components, lean mass and fat mass. We expect the lean liver mass (or volume) to be the component that most closely relates to drug clearance.

Objective

The objective of this study was to investigate the relationship of lean liver volume and fat-free mass.

Methods

Total liver volume and liver fat volume were measured in 100 Indian adults by computed tomography. Lean liver volume was derived as the difference between the two measurements (as liver volume − liver fat volume). Covariate modelling to describe lean liver volume, using NONMEM version 7.3, involved testing the influence of body weight, sex, body surface area and fat-free mass with or without allometric scaling (by estimating the exponent) and the influence of clinical chemistry variables.

Results

The final model did not exclude a linear relationship between lean liver volume and fat-free mass, while allometric scaling by body weight0.75 was also supported by the data. While scaling by fat-free mass, the coefficient of proportionality (i.e. lean liver volume per kg fat-free mass) was higher in female (31.25 mL) than male (25.81 mL) subjects.

Conclusions

A model to predict lean liver volume from readily available patient data was developed and evaluated. Fat-free mass plus sex was found to be the best body descriptor to scale lean liver volume. The utility of this model in scaling drug clearance and dose requirements of hepatically cleared drugs needs further exploration.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat Collaboration NRF. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 2016;387(10026):1377–96. Collaboration NRF. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 2016;387(10026):1377–96.
2.
Zurück zum Zitat Prospective Studies C. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet. 2009;373(9669):1083–96. Prospective Studies C. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Lancet. 2009;373(9669):1083–96.
3.
Zurück zum Zitat Leykin Y, Miotto L, Pellis T. Pharmacokinetic considerations in the obese. Best Pract Res Clin Anaesthesiol. 2011;25(1):27–36.PubMed Leykin Y, Miotto L, Pellis T. Pharmacokinetic considerations in the obese. Best Pract Res Clin Anaesthesiol. 2011;25(1):27–36.PubMed
4.
Zurück zum Zitat Blouin RA, Warren GW. Pharmacokinetic considerations in obesity. J Pharm Sci. 1999;88(1):1–7.PubMed Blouin RA, Warren GW. Pharmacokinetic considerations in obesity. J Pharm Sci. 1999;88(1):1–7.PubMed
5.
Zurück zum Zitat Cheymol G. Effects of obesity on pharmacokinetics. Clin Pharmacokinet. 2000;39(3):215–31.PubMed Cheymol G. Effects of obesity on pharmacokinetics. Clin Pharmacokinet. 2000;39(3):215–31.PubMed
6.
Zurück zum Zitat Hanley MJ, Abernethy DR, Greenblatt DJ. Effect of obesity on the pharmacokinetics of drugs in humans. Clin Pharmacokinet. 2010;49(2):71–87.PubMed Hanley MJ, Abernethy DR, Greenblatt DJ. Effect of obesity on the pharmacokinetics of drugs in humans. Clin Pharmacokinet. 2010;49(2):71–87.PubMed
7.
Zurück zum Zitat Green B, Duffull SB. What is the best size descriptor to use for pharmacokinetic studies in the obese? Br J Clin Pharmacol. 2004;58(2):119–33.PubMedPubMedCentral Green B, Duffull SB. What is the best size descriptor to use for pharmacokinetic studies in the obese? Br J Clin Pharmacol. 2004;58(2):119–33.PubMedPubMedCentral
8.
Zurück zum Zitat De Baerdemaeker LE, Mortier EP, Struys MM. Pharmacokinetics in obese patients. Contin Educ Anaesth Crit Care Pain. 2004;4(5):152–5. De Baerdemaeker LE, Mortier EP, Struys MM. Pharmacokinetics in obese patients. Contin Educ Anaesth Crit Care Pain. 2004;4(5):152–5.
9.
Zurück zum Zitat Han P, Duffull S, Kirkpatrick C, Green B. Dosing in obesity: a simple solution to a big problem. Clin Pharmacol Ther. 2007;82(5):505–8.PubMed Han P, Duffull S, Kirkpatrick C, Green B. Dosing in obesity: a simple solution to a big problem. Clin Pharmacol Ther. 2007;82(5):505–8.PubMed
10.
Zurück zum Zitat Eleveld DJ, Proost JH, Absalom AR, Struys MM. Obesity and allometric scaling of pharmacokinetics. Clin Pharmacokinet. 2011;50(11):751–3.PubMed Eleveld DJ, Proost JH, Absalom AR, Struys MM. Obesity and allometric scaling of pharmacokinetics. Clin Pharmacokinet. 2011;50(11):751–3.PubMed
11.
Zurück zum Zitat De Baerdemaeker LEC, Van Limmen JGM, Van Nieuwenhove Y. How should obesity be measured and how should anesthetic drug dosage be calculated? In: Leykin Y, Brodsky JB, editors. Controversies in the anesthetic management of the obese surgical patient. Milan: Springer; 2013. p. 15–30. De Baerdemaeker LEC, Van Limmen JGM, Van Nieuwenhove Y. How should obesity be measured and how should anesthetic drug dosage be calculated? In: Leykin Y, Brodsky JB, editors. Controversies in the anesthetic management of the obese surgical patient. Milan: Springer; 2013. p. 15–30.
12.
Zurück zum Zitat Ingrande J, Brodsky JB, Lemmens HJ. Lean body weight scalar for the anesthetic induction dose of propofol in morbidly obese subjects. Anesth Analg. 2011;113(1):57–62.PubMed Ingrande J, Brodsky JB, Lemmens HJ. Lean body weight scalar for the anesthetic induction dose of propofol in morbidly obese subjects. Anesth Analg. 2011;113(1):57–62.PubMed
13.
Zurück zum Zitat Cortinez LI, Anderson BJ, Holford NH, Puga V, de la Fuente N, Auad H, et al. Dexmedetomidine pharmacokinetics in the obese. Eur J Clin Pharmacol. 2015;71(12):1501–8.PubMed Cortinez LI, Anderson BJ, Holford NH, Puga V, de la Fuente N, Auad H, et al. Dexmedetomidine pharmacokinetics in the obese. Eur J Clin Pharmacol. 2015;71(12):1501–8.PubMed
14.
Zurück zum Zitat La Colla L, Albertin A, La Colla G, Porta A, Aldegheri G, Di Candia D, et al. Predictive performance of the ‘Minto’ remifentanil pharmacokinetic parameter set in morbidly obese patients ensuing from a new method for calculating lean body mass. Clin Pharmacokinet. 2010;49(2):131–9.PubMed La Colla L, Albertin A, La Colla G, Porta A, Aldegheri G, Di Candia D, et al. Predictive performance of the ‘Minto’ remifentanil pharmacokinetic parameter set in morbidly obese patients ensuing from a new method for calculating lean body mass. Clin Pharmacokinet. 2010;49(2):131–9.PubMed
15.
Zurück zum Zitat Morgan DJ, Bray KM. Lean body mass as a predictor of drug dosage. Clin Pharmacokinet. 1994;26(4):292–307.PubMed Morgan DJ, Bray KM. Lean body mass as a predictor of drug dosage. Clin Pharmacokinet. 1994;26(4):292–307.PubMed
16.
Zurück zum Zitat McLeay SC, Morrish GA, Kirkpatrick CM, Green B. The relationship between drug clearance and body size. Clin Pharmacokinet. 2012;51(5):319–30.PubMed McLeay SC, Morrish GA, Kirkpatrick CM, Green B. The relationship between drug clearance and body size. Clin Pharmacokinet. 2012;51(5):319–30.PubMed
17.
Zurück zum Zitat Verbeeck RK. Pharmacokinetics and dosage adjustment in patients with hepatic dysfunction. Eur J Clin Pharmacol. 2008;64(12):1147–61.PubMed Verbeeck RK. Pharmacokinetics and dosage adjustment in patients with hepatic dysfunction. Eur J Clin Pharmacol. 2008;64(12):1147–61.PubMed
18.
Zurück zum Zitat Homeida M, Roberts C, Halliwell M, Read A, Branch R. Antipyrine clearance per unit volume liver: an assessment of hepatic function in chronic liver disease. Gut. 1979;20(7):596–601.PubMedPubMedCentral Homeida M, Roberts C, Halliwell M, Read A, Branch R. Antipyrine clearance per unit volume liver: an assessment of hepatic function in chronic liver disease. Gut. 1979;20(7):596–601.PubMedPubMedCentral
19.
Zurück zum Zitat Knibbe CA, Brill MJ, van Rongen A, Diepstraten J, van der Graaf PH, Danhof M. Drug disposition in obesity: toward evidence-based dosing. Ann Rev Pharmacol Toxicol. 2015;55:149–67. Knibbe CA, Brill MJ, van Rongen A, Diepstraten J, van der Graaf PH, Danhof M. Drug disposition in obesity: toward evidence-based dosing. Ann Rev Pharmacol Toxicol. 2015;55:149–67.
20.
Zurück zum Zitat van Rongen A, Brill MJE, Diepstraten J, Knibbe CAJ. Applied pharmacometrics in the obese population. In: Schmidt S, Derendorf H, editors. Applied pharmacometrics. New York: Springer; 2014. p. 161–87. van Rongen A, Brill MJE, Diepstraten J, Knibbe CAJ. Applied pharmacometrics in the obese population. In: Schmidt S, Derendorf H, editors. Applied pharmacometrics. New York: Springer; 2014. p. 161–87.
21.
Zurück zum Zitat Riede U, Spycher M, Gitzelmann R. Glycogenosis type I (glucose 6-phosphatase deficiency): I. Ultrastructural morphometric analysis of juvenile liver cells. Pathol Res Pract. 1980;167(1):136–50.PubMed Riede U, Spycher M, Gitzelmann R. Glycogenosis type I (glucose 6-phosphatase deficiency): I. Ultrastructural morphometric analysis of juvenile liver cells. Pathol Res Pract. 1980;167(1):136–50.PubMed
22.
Zurück zum Zitat Rohr H, Lüthy J, Gudat F, Oberholzer M, Gysin C, Bianchi L. Stereology of liver biopsies from healthy volunteers. Virchows Arch A Pathol Anat Histol. 1976;371(3):251–63.PubMed Rohr H, Lüthy J, Gudat F, Oberholzer M, Gysin C, Bianchi L. Stereology of liver biopsies from healthy volunteers. Virchows Arch A Pathol Anat Histol. 1976;371(3):251–63.PubMed
23.
Zurück zum Zitat Marceau P, Biron S, Hould F-S, Marceau S, Simard S, Thung S, et al. Liver pathology and the metabolic syndrome X in severe obesity. J Clin Endocrinol Metab. 1999;84(5):1513–7.PubMed Marceau P, Biron S, Hould F-S, Marceau S, Simard S, Thung S, et al. Liver pathology and the metabolic syndrome X in severe obesity. J Clin Endocrinol Metab. 1999;84(5):1513–7.PubMed
24.
Zurück zum Zitat Merrell MD, Cherrington NJ. Drug metabolism alterations in nonalcoholic fatty liver disease. Drug Metab Rev. 2011;43(3):317–34.PubMedPubMedCentral Merrell MD, Cherrington NJ. Drug metabolism alterations in nonalcoholic fatty liver disease. Drug Metab Rev. 2011;43(3):317–34.PubMedPubMedCentral
25.
Zurück zum Zitat Idilman IS, Keskin O, Celik A, Savas B, Halil Elhan A, Idilman R, et al. A comparison of liver fat content as determined by magnetic resonance imaging-proton density fat fraction and MRS versus liver histology in non-alcoholic fatty liver disease. Acta Radiol. 2016;57(3):271–8.PubMed Idilman IS, Keskin O, Celik A, Savas B, Halil Elhan A, Idilman R, et al. A comparison of liver fat content as determined by magnetic resonance imaging-proton density fat fraction and MRS versus liver histology in non-alcoholic fatty liver disease. Acta Radiol. 2016;57(3):271–8.PubMed
26.
Zurück zum Zitat Noureddin M, Lam J, Peterson MR, Middleton M, Hamilton G, Le TA, et al. Utility of magnetic resonance imaging versus histology for quantifying changes in liver fat in nonalcoholic fatty liver disease trials. Hepatology. 2013;58(6):1930–40.PubMedPubMedCentral Noureddin M, Lam J, Peterson MR, Middleton M, Hamilton G, Le TA, et al. Utility of magnetic resonance imaging versus histology for quantifying changes in liver fat in nonalcoholic fatty liver disease trials. Hepatology. 2013;58(6):1930–40.PubMedPubMedCentral
27.
Zurück zum Zitat Szczepaniak LS, Nurenberg P, Leonard D, Browning JD, Reingold JS, Grundy S, et al. Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am J Physiol Endocrinol Metab. 2005;288(2):E462–8.PubMed Szczepaniak LS, Nurenberg P, Leonard D, Browning JD, Reingold JS, Grundy S, et al. Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population. Am J Physiol Endocrinol Metab. 2005;288(2):E462–8.PubMed
28.
Zurück zum Zitat McLeay S, Morrish G, Ponnuswamy T, Devanand B, Ramanathan M, Venkatakrishnan L, et al. Noninvasive quantification of hepatic steatosis: relationship between obesity status and liver fat content. Open Obesity J. 2014;6(1):16–24. McLeay S, Morrish G, Ponnuswamy T, Devanand B, Ramanathan M, Venkatakrishnan L, et al. Noninvasive quantification of hepatic steatosis: relationship between obesity status and liver fat content. Open Obesity J. 2014;6(1):16–24.
29.
Zurück zum Zitat Janmahasatian S, Duffull SB, Ash S, Ward LC, Byrne NM, Green B. Quantification of lean bodyweight. Clin Pharmacokinet. 2005;44(10):1051–65.PubMed Janmahasatian S, Duffull SB, Ash S, Ward LC, Byrne NM, Green B. Quantification of lean bodyweight. Clin Pharmacokinet. 2005;44(10):1051–65.PubMed
30.
Zurück zum Zitat Kulkarni B, Kuper H, Taylor A, Wells JC, Radhakrishna KV, Kinra S, et al. Development and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women. J Appl Physiol. 2013;115(8):1156–62.PubMedPubMedCentral Kulkarni B, Kuper H, Taylor A, Wells JC, Radhakrishna KV, Kinra S, et al. Development and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women. J Appl Physiol. 2013;115(8):1156–62.PubMedPubMedCentral
31.
Zurück zum Zitat Chandan Vinay S, Urooj A, Chaya Sindaghatta K, Mahesh P. Validation of fat-free mass estimation using prediction equations in male patients with chronic obstructive pulmonary disease. Int J Nutr Pharmacol Neurol Dis. 2017;7(4):94–100. Chandan Vinay S, Urooj A, Chaya Sindaghatta K, Mahesh P. Validation of fat-free mass estimation using prediction equations in male patients with chronic obstructive pulmonary disease. Int J Nutr Pharmacol Neurol Dis. 2017;7(4):94–100.
32.
Zurück zum Zitat Du Bois D. A formula to estimate the approximate surface area if height and weight be known. Nutrition. 1989;5:303–13.PubMed Du Bois D. A formula to estimate the approximate surface area if height and weight be known. Nutrition. 1989;5:303–13.PubMed
33.
Zurück zum Zitat Akaike H. A new look at the statistical model identification. IEEE Trans Autom Control. 1974;19(6):716–23. Akaike H. A new look at the statistical model identification. IEEE Trans Autom Control. 1974;19(6):716–23.
34.
Zurück zum Zitat Sinha J, Al-Sallami HS, Duffull SB. Choosing the allometric exponent in covariate model building. Clin Pharmacokinet. 2019;58(1):89–100.PubMed Sinha J, Al-Sallami HS, Duffull SB. Choosing the allometric exponent in covariate model building. Clin Pharmacokinet. 2019;58(1):89–100.PubMed
35.
Zurück zum Zitat Ribbing J, Jonsson EN. Power, selection bias and predictive performance of the population pharmacokinetic covariate model. J Pharmacokinet Pharmacodyn. 2004;31(2):109–34.PubMed Ribbing J, Jonsson EN. Power, selection bias and predictive performance of the population pharmacokinetic covariate model. J Pharmacokinet Pharmacodyn. 2004;31(2):109–34.PubMed
36.
Zurück zum Zitat Krovetz LJ. The physiologic significance of body surface area. J Pediatr. 1965;67(5):841–62.PubMed Krovetz LJ. The physiologic significance of body surface area. J Pediatr. 1965;67(5):841–62.PubMed
37.
Zurück zum Zitat Sawyer M, Ratain MJ. Body surface area as a determinant of pharmacokinetics and drug dosing. Invest New Drugs. 2001;19(2):171–7.PubMed Sawyer M, Ratain MJ. Body surface area as a determinant of pharmacokinetics and drug dosing. Invest New Drugs. 2001;19(2):171–7.PubMed
38.
Zurück zum Zitat Holliday MA, Potter D, Jarrah A, Bearg S. The relation of metabolic rate to body weight and organ size. Pediatr Res. 1967;1:185–95.PubMed Holliday MA, Potter D, Jarrah A, Bearg S. The relation of metabolic rate to body weight and organ size. Pediatr Res. 1967;1:185–95.PubMed
39.
Zurück zum Zitat Johnson TN, Tucker GT, Tanner MS, Rostami-Hodjegan A. Changes in liver volume from birth to adulthood: a meta-analysis. Liver Transpl. 2005;11(12):1481–93.PubMed Johnson TN, Tucker GT, Tanner MS, Rostami-Hodjegan A. Changes in liver volume from birth to adulthood: a meta-analysis. Liver Transpl. 2005;11(12):1481–93.PubMed
40.
Zurück zum Zitat Johnstone AM, Murison SD, Duncan JS, Rance KA, Speakman JR. Factors influencing variation in basal metabolic rate include fat-free mass, fat mass, age, and circulating thyroxine but not sex, circulating leptin, or triiodothyronine. Am J Clin Nutr. 2005;82(5):941–8.PubMed Johnstone AM, Murison SD, Duncan JS, Rance KA, Speakman JR. Factors influencing variation in basal metabolic rate include fat-free mass, fat mass, age, and circulating thyroxine but not sex, circulating leptin, or triiodothyronine. Am J Clin Nutr. 2005;82(5):941–8.PubMed
41.
Zurück zum Zitat Weinsier RL, Schutz Y, Bracco D. Reexamination of the relationship of resting metabolic rate to fat-free mass and to the metabolically active components of fat-free mass in humans. Am J Clin Nutr. 1992;55(4):790–4.PubMed Weinsier RL, Schutz Y, Bracco D. Reexamination of the relationship of resting metabolic rate to fat-free mass and to the metabolically active components of fat-free mass in humans. Am J Clin Nutr. 1992;55(4):790–4.PubMed
42.
Zurück zum Zitat Holliday MA. Body composition and energy needs during growth. In: Falkner F, Tanner JM, editors. Postnatal growth neurobiology. Boston: Springer; 1986. p. 101–17. Holliday MA. Body composition and energy needs during growth. In: Falkner F, Tanner JM, editors. Postnatal growth neurobiology. Boston: Springer; 1986. p. 101–17.
43.
Zurück zum Zitat West GB, Brown JH, Enquist BJ. A general model for the origin of allometric scaling laws in biology. Science. 1997;276(5309):122–6.PubMed West GB, Brown JH, Enquist BJ. A general model for the origin of allometric scaling laws in biology. Science. 1997;276(5309):122–6.PubMed
44.
Zurück zum Zitat Howgate EM, Rowland Yeo K, Proctor NJ, Tucker GT, Rostami-Hodjegan A. Prediction of in vivo drug clearance from in vitro data. I: Impact of inter-individual variability. Xenobiotica. 2006;36(6):473–97.PubMed Howgate EM, Rowland Yeo K, Proctor NJ, Tucker GT, Rostami-Hodjegan A. Prediction of in vivo drug clearance from in vitro data. I: Impact of inter-individual variability. Xenobiotica. 2006;36(6):473–97.PubMed
45.
Zurück zum Zitat Wilson ZE, Rostami-Hodjegan A, Burn JL, Tooley A, Boyle J, Ellis SW, et al. Inter-individual variability in levels of human microsomal protein and hepatocellularity per gram of liver. Br J Clin Pharmacol. 2003;56(4):433–40.PubMedPubMedCentral Wilson ZE, Rostami-Hodjegan A, Burn JL, Tooley A, Boyle J, Ellis SW, et al. Inter-individual variability in levels of human microsomal protein and hepatocellularity per gram of liver. Br J Clin Pharmacol. 2003;56(4):433–40.PubMedPubMedCentral
46.
Zurück zum Zitat Zhang H, Gao N, Tian X, Liu T, Fang Y, Zhou J, et al. Content and activity of human liver microsomal protein and prediction of individual hepatic clearance in vivo. Sci Rep. 2015;5:17671.PubMedPubMedCentral Zhang H, Gao N, Tian X, Liu T, Fang Y, Zhou J, et al. Content and activity of human liver microsomal protein and prediction of individual hepatic clearance in vivo. Sci Rep. 2015;5:17671.PubMedPubMedCentral
47.
Zurück zum Zitat Achour B, Barber J, Rostami-Hodjegan A. Expression of hepatic drug-metabolizing cytochrome P450 enzymes and their intercorrelations: a meta-analysis. Drug Metab Dispos. 2014;42(8):1349–56.PubMed Achour B, Barber J, Rostami-Hodjegan A. Expression of hepatic drug-metabolizing cytochrome P450 enzymes and their intercorrelations: a meta-analysis. Drug Metab Dispos. 2014;42(8):1349–56.PubMed
48.
Zurück zum Zitat Chul YH, Heecheon Y, Ho L, Zhe-Wu J, Il MJ, Hwan CB. Estimation of standard liver volume for liver transplantation in the Korean population. Liver Transpl. 2004;10(6):779–83. Chul YH, Heecheon Y, Ho L, Zhe-Wu J, Il MJ, Hwan CB. Estimation of standard liver volume for liver transplantation in the Korean population. Liver Transpl. 2004;10(6):779–83.
49.
Zurück zum Zitat Vauthey JN, Abdalla EK, Doherty DA, Gertsch P, Fenstermacher MJ, Loyer EM, et al. Body surface area and body weight predict total liver volume in Western adults. Liver Transpl. 2002;8(3):233–40.PubMed Vauthey JN, Abdalla EK, Doherty DA, Gertsch P, Fenstermacher MJ, Loyer EM, et al. Body surface area and body weight predict total liver volume in Western adults. Liver Transpl. 2002;8(3):233–40.PubMed
50.
Zurück zum Zitat Lee DH, Keum N, Hu FB, Orav EJ, Rimm EB, Sun Q, et al. Development and validation of anthropometric prediction equations for lean body mass, fat mass and percent fat in adults using the National Health and Nutrition Examination Survey (NHANES) 1999–2006. Br J Nutr. 2017;118(10):858–66.PubMed Lee DH, Keum N, Hu FB, Orav EJ, Rimm EB, Sun Q, et al. Development and validation of anthropometric prediction equations for lean body mass, fat mass and percent fat in adults using the National Health and Nutrition Examination Survey (NHANES) 1999–2006. Br J Nutr. 2017;118(10):858–66.PubMed
51.
Zurück zum Zitat Kwo PY, Ramchandani VA, O’Connor S, Amann D, Carr LG, Sandrasegaran K, et al. Gender differences in alcohol metabolism: relationship to liver volume and effect of adjusting for body mass. Gastroenterology. 1998;115(6):1552–7.PubMed Kwo PY, Ramchandani VA, O’Connor S, Amann D, Carr LG, Sandrasegaran K, et al. Gender differences in alcohol metabolism: relationship to liver volume and effect of adjusting for body mass. Gastroenterology. 1998;115(6):1552–7.PubMed
52.
Zurück zum Zitat Jones HM, Rowland-Yeo K. Basic concepts in physiologically based pharmacokinetic modeling in drug discovery and development. CPT Pharmacomet Syst Pharmacol. 2013;2(8):e63. Jones HM, Rowland-Yeo K. Basic concepts in physiologically based pharmacokinetic modeling in drug discovery and development. CPT Pharmacomet Syst Pharmacol. 2013;2(8):e63.
53.
Zurück zum Zitat Marsousi N, Desmeules JA, Rudaz S, Daali Y. Usefulness of PBPK modeling in incorporation of clinical conditions in personalized medicine. J Pharm Sci. 2017;106(9):2380–91.PubMed Marsousi N, Desmeules JA, Rudaz S, Daali Y. Usefulness of PBPK modeling in incorporation of clinical conditions in personalized medicine. J Pharm Sci. 2017;106(9):2380–91.PubMed
54.
Zurück zum Zitat Ghobadi C, Johnson TN, Aarabi M, Almond LM, Allabi AC, Rowland-Yeo K, et al. Application of a systems approach to the bottom-up assessment of pharmacokinetics in obese patients. Clin Pharmacokinet. 2011;50(12):809–22.PubMed Ghobadi C, Johnson TN, Aarabi M, Almond LM, Allabi AC, Rowland-Yeo K, et al. Application of a systems approach to the bottom-up assessment of pharmacokinetics in obese patients. Clin Pharmacokinet. 2011;50(12):809–22.PubMed
55.
Zurück zum Zitat Cassidy S, Syed BA. Nonalcoholic steatohepatitis (NASH) drugs market. Nat Rev Drug Discov. 2016;15(11):745–6.PubMed Cassidy S, Syed BA. Nonalcoholic steatohepatitis (NASH) drugs market. Nat Rev Drug Discov. 2016;15(11):745–6.PubMed
56.
Zurück zum Zitat Konerman MA, Jones JC, Harrison SA. Pharmacotherapy for NASH: current and emerging. J Hepatol. 2018;68(2):362–75.PubMed Konerman MA, Jones JC, Harrison SA. Pharmacotherapy for NASH: current and emerging. J Hepatol. 2018;68(2):362–75.PubMed
Metadaten
Titel
Evaluating the Relationship Between Lean Liver Volume and Fat-Free Mass
verfasst von
Jaydeep Sinha
Stephen B. Duffull
Bruce Green
Hesham S. Al-Sallami
Publikationsdatum
04.10.2019
Verlag
Springer International Publishing
Erschienen in
Clinical Pharmacokinetics / Ausgabe 4/2020
Print ISSN: 0312-5963
Elektronische ISSN: 1179-1926
DOI
https://doi.org/10.1007/s40262-019-00824-7

Weitere Artikel der Ausgabe 4/2020

Clinical Pharmacokinetics 4/2020 Zur Ausgabe