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Published in: Clinical Pharmacokinetics 4/2020

01-04-2020 | Original Research Article

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

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

Published in: Clinical Pharmacokinetics | Issue 4/2020

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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.
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Literature
1.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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.
go back to reference 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
Metadata
Title
Evaluating the Relationship Between Lean Liver Volume and Fat-Free Mass
Authors
Jaydeep Sinha
Stephen B. Duffull
Bruce Green
Hesham S. Al-Sallami
Publication date
01-04-2020
Publisher
Springer International Publishing
Published in
Clinical Pharmacokinetics / Issue 4/2020
Print ISSN: 0312-5963
Electronic ISSN: 1179-1926
DOI
https://doi.org/10.1007/s40262-019-00824-7

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