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Disease severity index for assessment of chronic liver disease and method for diagnosis of three distinct subtypes of primary sclerosing cholangitis

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  • Publication Date:
    September 12, 2017
  • معلومة اضافية
    • Patent Number:
      9,759,731
    • Appl. No:
      14/729987
    • Application Filed:
      June 03, 2015
    • نبذة مختصرة :
      A Disease Severity Index (DSI) is provided for assessment of chronic liver disease in a patient using non-invasive liver function test results. A DSI was derived from non-invasive liver function test results based on hepatic blood flow. The DSI is used in methods for prediction of clinical outcomes, prediction of response to antiviral treatment, and assessment of progression of chronic liver diseases. Non-invasive methods to diagnose three distinct categories of patients with Primary Sclerosing Cholangitis (PSC) are provided. The methods can be used to diagnose PSC patients as Slow Progressors, Moderate Progressors and Rapid Progressors.
    • Inventors:
      The Regents of the University of Colorado (Denver, CO, US)
    • Assignees:
      The Regents of the University of Colorado, a Body Corporate (Denver, CO, US)
    • Claim:
      1. A method for determining a disease severity index (DSI) value in a patient, the method comprising (a) obtaining one or more liver function test values in a patient having or at risk of a chronic liver disease, wherein the one or more liver function test values are obtained from one or more liver function tests selected from the group consisting of cholate SHUNT test, portal hepatic filtration rate (portal HFR), and systemic hepatic filtration rate (systemic HFR); and (b) employing a disease severity index equation (DSI equation) to obtain a DSI value in the patient, wherein the DSI equation comprises one or more terms and a constant to obtain the DSI value, wherein at least one term of the DSI equation independently represents a liver function test value in the patient from step (a) or a mathematically transformed liver function test value in the patient from step (a); and the at least one term of the DSI equation is multiplied by a coefficient specific to the liver function test, wherein the one or more liver function test values comprises a portal HFR test value in the patient determined by a method comprising (a) receiving a plurality of blood or serum samples collected from a patient having or at risk of a chronic liver disease, following oral administration of a dose of a stable isotope labeled distinguishable cholate (dose oral) to the patient, wherein the samples have been collected from the patient over intervals of from two to seven time points spanning a period of time of no more than 180 minutes after administration; (b) measuring concentration of the distinguishable cholate in each sample; (c) generating an individualized oral clearance curve from the concentration of the distinguishable cholate in each sample comprising using a computer algorithm curve fitting to a model distinguishable cholate clearance curve; (d) computing the area under the individualized oral clearance curve (AUC)(mg/mL/min) and dividing the dose (in mg) by AUC of the orally administered distinguishable cholate to obtain the oral cholate clearance in the patient; and (e) dividing the oral cholate clearance by the weight of the patient in kg to obtain the portal HFR value in the patient (mL/min/kg).
    • Claim:
      2. The method of claim 1 , further comprising (c) comparing the DSI value in the patient to one or more DSI cut-off values, one or more normal healthy controls, or one or more DSI values within the patient over time.
    • Claim:
      3. The method of claim 2 , wherein the comparing the DSI value in the patient to one or more DSI cut-off values is indicative of at least one clinical outcome.
    • Claim:
      4. The method of claim 3 , wherein the clinical outcome is selected from the group consisting of Child-Turcotte-Pugh (CTP) increase, varices, encephalopathy, ascites, and liver related death.
    • Claim:
      5. The method of claim 2 , wherein the comparing the DSI value within the patient over time is used to monitor the effectiveness of a treatment of chronic liver disease in the patient, wherein a decrease in the DSI value within the patient over time is indicative of treatment effectiveness.
    • Claim:
      6. The method of claim 5 , wherein the treatment of chronic liver disease in the patient is selected from the group consisting of antiviral treatment, antifibrotic treatment, antibiotics, immunosuppressive treatments, anti-cancer treatments, ursodeoxycholic acid, insulin sensitizing agents, interventional treatment, liver transplant, lifestyle changes, and dietary restrictions, low glycemic index diet, antioxidants, vitamin supplements, transjugular intrahepatic portosystemic shunt (TIPS), catheter-directed thrombolysis, balloon dilation and stent placement, balloon-dilation and drainage, weight loss, exercise, and avoidance of alcohol.
    • Claim:
      7. The method of claim 2 , wherein the comparing the DSI value in the patient over time is used to monitor the need for treatment of chronic liver disease in the patient, wherein an increase in the DSI value within the patient over time is indicative of a need for treatment in the patient.
    • Claim:
      8. The method of claim 2 , wherein the comparing the DSI value within the patient over time is used to monitor status of chronic liver disease in the patient, wherein change in DSI value within the patient over time is used to inform the patient of status of the disease and risk for future clinical outcomes, wherein an increase in the DSI value within the patient over time is indicative of a worse prognosis, and a decrease in the DSI value within the patient over time is indicative of a better prognosis.
    • Claim:
      9. The method of claim 1 , wherein the mathematically transformed liver function test value in the patient is selected from a log, antilog, natural log, natural antilog, or inverse of the liver function test value in the patient.
    • Claim:
      10. The method of claim 1 , wherein each term of the DSI equation independently represents a liver function test value in the patient from step (a) or a mathematically transformed liver function test value in the patient from step (a).
    • Claim:
      11. The method of claim 1 , wherein the chronic liver disease in the patient is chronic hepatitis C (CHC), chronic hepatitis B, alcoholic liver disease, alcoholic steatohepatitis (ASH), hepatocellular carcinoma (HCC), non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH), autoimmune liver disease, cryptogenic cirrhosis, hemochromatosis, Wilson's disease, alpha-1-antitrypsin deficiency, or primary sclerosing cholangitis (PSC).
    • Claim:
      12. The method of claim 1 , wherein the SHUNT test value in the patient is determined by a method comprising (a) receiving a plurality of blood or serum samples collected from the patient having PSC, following oral administration of a dose of a first stable isotope labeled distinguishable cholate (dose oral) to the patient and simultaneous intravenous co-administration of a dose of a second stable isotope labeled distinguishable cholate (dose iv) to the patient, wherein the samples have been collected over intervals spanning a period of time after administration; (b) quantifying the concentration of the first and the second distinguishable cholates in each sample; (c) generating an individualized oral clearance curve from the concentration of the first distinguishable cholate in each sample comprising using a computer algorithm curve fitting to a model oral distinguishable cholate clearance curve and computing the area under the individualized oral clearance curve (AUCoral); (d) generating an individualized intravenous clearance curve from the concentration of the second distinguishable cholate in each sample by use of a computer algorithm curve fitting to a model intravenous second distinguishable cholate clearance curve and computing the area under the individualized intravenous clearance curve (AUCiv); and (e) calculating the shunt value in the patient using the formula: AUC oral /AUC iv ×Dose iv /Dose oral ×100%.
    • Claim:
      13. The method of claim 12 , wherein the first distinguishable cholate is a first stable isotope labeled cholic acid and the second distinguishable cholate is a second stable isotope labeled cholic acid.
    • Claim:
      14. The method of claim 13 , wherein the first and second stable isotope labeled cholic acids are selected from 2,2,4,4-d4 cholate and 24-13C-cholate.
    • Claim:
      15. The method of claim 12 , wherein the samples have been collected from the patient at 5, 20, 45, 60 and 90 minutes after administration.
    • Claim:
      16. The method of claim 12 , wherein the samples have been collected over intervals spanning a period of time from the time of administration to a time selected from about 45 minutes to about 180 minutes after administration.
    • Claim:
      17. The method of claim 16 , wherein the samples have been collected over intervals spanning a period of time of about 90 minutes or less after administration.
    • Claim:
      18. The method of claim 1 , wherein the systemic HFR value in the patient is determined by a method comprising (a) receiving a plurality of blood or serum samples collected from a patient having or at risk of a chronic liver disease, following intravenous administration of a dose of a stable isotope labeled distinguishable cholate (dose iv) to the patient, wherein the samples have been collected from the patient over intervals spanning a period of time after administration; (b) measuring concentration of the distinguishable cholate in each sample; (c) generating an individualized intravenous clearance curve from the concentration of the distinguishable cholate in each sample comprising using a computer algorithm curve fitting to a model distinguishable cholate clearance curve; (d) computing the area under the individualized intravenous clearance curve (AUC)(mg/mL/min) and dividing the dose (in mg) by AUC of the intravenously administered stable isotope labeled cholic acid to obtain the intravenous cholate clearance in the patient; and (e) dividing the intravenous cholate clearance by the weight of the patient in kg to obtain the systemic HFR value in the patient (mL/min/kg).
    • Claim:
      19. The method of claim 1 , wherein the DSI equation has one or more additional terms representing values from clinical biochemistry laboratory assays selected from the group consisting of serum albumin, alanine transaminase, aspartate transaminase, alkaline phosphatase, total bilirubin, direct bilirubin, gamma glutamyl transpeptidase, 5′ Nucleotidase, PT-INR (prothrombin time-international normalized ratio), caffeine elimination, antipyrine clearance, galactose elimination capacity, formation of MEGX from lidocaine, methacetin-C13, and methionine-C13; and/or one or more additional terms representing clinical features selected from varices, ascites, and hepatic encephalopathy.
    • Claim:
      20. The method of claim 1 , wherein the disease severity index (DSI) equation comprises DSI= A (SHUNT)+ B (log e portal HFR)+ C (log e systemic HFR)+ D wherein SHUNT is SHUNT test value in the patient (%); portal HFR is portal hepatic flow rate (HFR) test value in the patient as mL/min/kg, wherein kg is body weight of the patient; systemic HFR is systemic HFR value in the patient as mL/min/kg, wherein kg is body weight of the patient; A is a SHUNT coefficient; B is a Portal HFR coefficient; C is a Systemic HFR coefficient; and D is the constant.
    • Claim:
      21. The method of claim 20 , wherein the disease severity index equation is DSI=5.34(SHUNT)−6.65(Log e Portal HFR)−8.57(Log e Systemic HFR)+44.66.
    • Claim:
      22. The method of claim 20 , wherein the disease severity index equation is DSI=5.75(SHUNT)−7.22(Log e Portal HFR)−8.45(Log e Systemic HFR)+50.
    • Claim:
      23. The method of claim 22 , wherein the DSI value is used for identifying increased risk for portal hypertension or decompensation in the chronic liver disease patient wherein a DSI≧18 indicates increased risk for portal hypertension (PHTN), and a DSI≧36 indicates an increased risk for decompensation.
    • Claim:
      24. The method of claim 20 , wherein the chronic liver disease is chronic hepatitis C and the disease severity index equation is DSI=9.84(SHUNT)−12.36 LOG e (portal HFR)+50.5.
    • Claim:
      25. The method of claim 20 , wherein the SHUNT, the portal HFR, and/or the systemic HFR test values in the patient were obtained on the same day.
    • Claim:
      26. The method of claim 20 , wherein the SHUNT coefficient is a number from 0 to positive 25; the Portal HFR coefficient is a number from 0 to negative 25; and the Systemic HFR coefficient is a number from 0 to negative 25.
    • Claim:
      27. The method of claim 20 , wherein the constant is a positive number between 5 and 125.
    • Claim:
      28. The method of claim 27 , wherein the portal hypertension (PHTN) is defined as splemomegaly or varices, and decompensation is defined as ascites or variceal hemorrhage.
    • Patent References Cited:
      4207308 June 1980 Spenney
      6778269 August 2004 Fink et al.
      7060250 June 2006 McMurry et al.
      8613904 December 2013 Everson et al.
      8778299 July 2014 Everson
      8961925 February 2015 Everson et al.
      9091701 July 2015 Everson et al.
      9417230 August 2016 Everson
      2006/0067881 March 2006 Groman et al.
      2006/0251576 November 2006 Hellerstein
      2008/0279766 November 2008 Everson et al.
      2010/0055734 March 2010 Everson
      2012/0329161 December 2012 Everson et al.
      2014/0067276 March 2014 Everson et al.
      2014/0147875 May 2014 Everson et al.
      2014/0326926 November 2014 Everson et al.
      2015/0204842 July 2015 Everson et al.
      2016/0305930 October 2016 Everson et al.
      2012262329 October 2014
      2012/166802 December 2012
      2014/075082 May 2014























































    • Other References:
      Supplementary European Search Report for Application No. 13853943.2 mailed May 23, 2016, 8 pages total. cited by applicant
      Wallack et al., “Non-invasive measurement of the portal circulation using cholates quantifies disease severity in primary sclerosing cholangitis”, Gastroenterology, vol. 142, No. 5, suppl. 1, p. S911 (May 1, 2012). cited by applicant
      Chronic Hepatitis Data Sheet, Merck, Sharp & Dohme, Corp., 1 page (2010-2011). cited by applicant
      Dax et al., “HPLC-Continuous-Flow Fast Atom Bombardment Mass Specrometry (HPLC-CFFAB)—a Convenient Method for the Analysis of Bile Acids in Bile and Serum,” Chromatographia, 40(11/12):674-679 (Jun. 1995). cited by applicant
      Decompensated Cirrhosis Data Sheet, U.S. Department of Veterans Affairs, 1 page (2011). cited by applicant
      Denaro et al., “The effect of liver disease on urine caffeine metabolite ratios,” Clinical Pharmacology & Therapeutics, 59(6):624-635 (Jun. 1996). cited by applicant
      Di Bisceglie et al., “Prolonged Therapy of Advanced Chronic Hepatitis C with Low-Dose Peginterferon,” The New England Journal of Medicine, 359(23):2429-2441 (Dec. 4, 2008). cited by applicant
      European Search Report for Application No. 10815965.8 mailed Apr. 17, 2013. cited by applicant
      Everson et al., “Quantitative Tests (QLFTS) Detect Impaired Hepatic Function in a High Proportion of Chronic Hepatitis C Patients with Fibrosis or Compensated Cirrhosis and may Predict Risk of Cirrhosis, Splenomegally, and Varices,” Hepatology, 38(4)(Suppl. 1):304A-305A, Abstract No. 309 (Oct. 2003). cited by applicant
      Everson et al., “Portal-systemic shunting in patients with fibrosis or cirrhosis due to chronic hepatitis C: the minimal model for measuring cholate clearances and shunt,” Alimentary Pharmacology & Therapeutics, 26:401-410 (2007). cited by applicant
      Everson et al., “The spectrum of hepatic functional impairment in compensated chronic hepatitis C: results from the Hepatitis C Anti-viral Long-term Treatment against Cirrhosis Trial,” Alimentary Pharmacology & Therapeutics, 27:798-809 (2008). cited by applicant
      Everson et al., “Quantitative tests of liver function measure hepatic improvement after sustained virological response: results from the HALT-C trial,” Alimentary Pharmacology & Therapeutics, 29:589-601 (2009). cited by applicant
      Everson et al., “Hepatic Impairment Measured by Quantitative Tests of Liver Function (QLFTs) Predicts Clinical Outcome in Patients with Advanced Fibrosis: Results from the Hepatitis C Anti-viral Long-term Treatment against Cirrhosis (HALT-C) trial,” Hepatology, 50(4)(Suppl):1057A, Abstract No. 1627 (2009). cited by applicant
      Everson et al., “Quantitative Liver Function Tests Improve the Prediction of Clinical Outcomes in Chronic Hepatitis C: Results from the Hepatitis C Antiviral Long-term Treatment Against Cirrhosis Trial,” Hepatology, 55(4):1019-1029 (Apr. 2012). cited by applicant
      Everson et al., “Functional Elements Associated with Hepatic Regeneration in Living Donors After Right Hepatic Lobectomy,” Liver Transplantation, 19:292-304 (2013). cited by applicant
      Extended European Search Report for Application No. 06734026.5 mailed Mar. 31, 2011. cited by applicant
      Gilmore et al., “Plasma clearance of oral and intravenous cholic acid in subjects with and without chronic liver disease,” Gut, 21:123-127 (1980). cited by applicant
      Golden et al., “Application of an enzyme-multiplied immunoassay technique for determination of caffeine elimination kinetics as a test of liver function in clinically normal dogs,” American Journal of Veterinary Research, 55(6):790-794 (Jun. 1994). cited by applicant
      Guidance for Industry, Bioanalytical Method Validation, 25 pages (May 2001). cited by applicant
      Haque et al., “Hepatitis C antiviral long-term treatment against cirrhosis (HALT-C) trial,” Annals of Hepatology, 8(1):78-79 (Jan.-Mar. 2009). cited by applicant
      Hechey, et al., “Syntheses with stable isotopes: synthesis of deuterium and 13C labeled bile acids,” Journal of Labelled Compounds, IX(4):703-719 (Oct.-Dec. 1973). cited by applicant
      Helmke, S. et al., “Slow, Moderate, and Rapid Progressors: Three Distinct Categories of Patients with Primary Sclerosing Cholangitis Detected by Functional Assessment using Cholate Testing,” Hepatology, 56(4)(Suppl):1133A, Abstract No. 2027 (Oct. 2012). cited by applicant
      Herold et al., “Quantitative testing of liver function in patients with cirrhosis due to chronic hepatitis C to assess disease severity”; Liver, 21:26-30 (2001). cited by applicant
      Hoofnagle, “Course and Outcome of Hepatits C,”Hepatology, 36(5)(Suppl. 1):S21-S29 (Nov. 2002). cited by applicant
      Hydzik et al., “Usefulness of 13C-methacetin breath test in liver function testing in Amanita phalloides poisoning: breast feeding woman case,” Clinical Toxicology, 46(10):1077-1082 (2008). cited by applicant
      International Search Report and Written Opinion for PCT/US06/03132 mailed Jul. 11, 2007. cited by applicant
      International Search Report and Written Opinion for PCT/US10/47976 mailed Feb. 2, 2011. cited by applicant
      International Search Report and Written Opinion cited in PCT/US2012/040008 mailed Sep. 6, 2012. cited by applicant
      International Search Report and Witten Opinion for PCT/US13/69708 mailed Feb. 10, 2014. cited by applicant
      Invitation to Pay Additional Fees for PCT/US10/47676 mailed Nov. 17, 2010. cited by applicant
      Kamath, P. et al., “A Model to Predict Survival in Patients with End-Stage Liver Disease,” Hepatology, 33(2):464-470 (Feb. 2001). cited by applicant
      Koster et al., “Recent Developments in On-line SPE for HPLC and LC-MS in Bioanalysis,” Guide to LC-MS, 3 pages (Dec. 2001). cited by applicant
      Krumbiegel et al., “[15N]Methacetin urine test: a method to study the development of hepatic detoxification capacity,” European Journal of Pediatrics, 149:393-395 (1990). cited by applicant
      Lalazar et al., A continuous 13C Methacetin Breath Test for Noninvasive Assessment of Intrahepatic Inflammation and Fibrosis in Patients with Chronic HCV Infection and Normal ALT, Journal of Viral Hepatitis, 15(10):716-728 (2008). cited by applicant
      Martucci, “Deconvolutional Analysis on Clearance Curves of Simultaneously Administered Oral and Intravenous Doses of 2,2,4,4-2H Cholate and 24-13C Cholate: Minimal Mode to Determine First-Pass Hepatic Extraction of Cholate in Humans,” Research Paper, University of Colorado Health Sciences Center, 14 pages (Aug. 31, 2004). cited by applicant
      Medrezejewski et al., Plasma clearance of cholic acid in patients with chronic diseases of the liver, Polski Tygodnik Lekarski, 45(16-18):335-337, Abstract Only, 1 page (Apr. 16-30, 1990). cited by applicant
      “Qualitative Tests (QLFTS) Detect Impaired Hepatic Function in a High Proportion of Patients with Chronic HCV and Fibrosis or Cirrhosis and May Predict Risk of Cirrhosis, Splenomegaly and Varices,” presentation at the 54th Annual Meeting of the American Association for the Study of Liver Diseases (Oct. 24-28, 2003). cited by applicant
      Queiroz et al, “Practical Tips on Preparing Plasma Samples for Drug Analysis Using SPME,” LCGC North America, 22(10), 6 pages (Oct. 2004). cited by applicant
      Rector Jr. et al., Renal Sodium Retention Complicating Alcoholic Liver Disease: Relation to Portosystemic Shunting and Liver Function, Hepatology, 12(3):455-459 (1990). cited by applicant
      Renner et al., “Caffeine: A Model Compound for Measuring Liver Function,” Hepatology 4(1):38-46 (1984). cited by applicant
      Shrestha et al., Quantitative Liver Function Tests Define the Functional Severity of Liver Disease in Early-State Cirrhosis, Liver Transplantaton and Surgery, 3(2):166-173 (Mar. 1997). cited by applicant
      Stellaard, et al., “Simultaneous determination of cholic acid and chenodeoxycholic acid pool size and fractional turnover rates in human serum using 13C-labeled bile acids,” Journal of Lipid Research, 25:1313-1319 (1984). cited by applicant
      Afdahl et al., “Advances in Hepatology—Fibroscan (Transient Elastography) for the Measurement of Liver Fibrosis”; Sec. Ed. Schiff, Gastroenterology & Hepatology; 8(9):605-607 (Sep. 2012). cited by applicant
      Bio Predictive, “Technical Recommendations for FibroTest and FibroMax assays”; A Guide for biologists and laboratories, V. 1.17, 28 pgs (Oct. 20, 2014). cited by applicant
      DeMark et al, “A method for the accurate measurement of isotope ratios of chenodeoxycholic and cholic acids in serum”; J Lipid Res, 23:204-210 (1982). cited by applicant
      Eichelbaum et al., “Simultaneous Determination of the Intravenous and Oral Pharmacokinetic Parameters of D,L-Verapamil Using Stable Isotope-Labelled Verapamil”; Eur J Clin Pharmacol, 19:133-137 (1981). cited by applicant
      EXALENZ BREATHID® breath test device for the diagnosis of liver disease; Health Policy Advisory Committee on Technology—Technology Brief (Aug. 2012), 16 pages total. cited by applicant
      Examination Report for Australian Application No. 2013341378, dated Jan. 17, 2017, 3 pages total. cited by applicant
      HCV FIBROSURE™, Informational Sheet; Laboratory Corporation of America (2004), 2 pages total. cited by applicant
      Kern, “Normal Plasma Cholesterol in an 88-year-old Man Who Eats 25 Eggs a Day”; New England J Medicine, 324:896-899 (1991). cited by applicant
      Miescher et al., “Portal-systemic spill-over of bile acids: a study of mechanisms using ursodeoxycholic acid”; European J of Clinical Investigation; 13:439-445 (1983). cited by applicant
      Nguyen et al., “Diagnostic and Therapeutic Advances in Hepatology—Noninvasive Assessment of Liver Fibrosis”; Hepatology; 2107-2110 (Jun. 2011). cited by applicant
      Ratziu et al., “Diagnostic value of biochemical markers (Fibro Test-FibroSURE) for the prediction of liver fibrosis in patients with non-alcoholic fatty liver disease”; BMC Gastroenterology; 6:6 (Feb. 14, 2006). cited by applicant
      Shah et al., “Comparison of Noninvasive Markers of Fibrosis in Patients With Nonalcoholic Fatty Liver Disease”; Clinical Gastroenterology and Hepatology; 7(10):1104-1112 (2009). cited by applicant
      Stellaard, et al., “Measurement of Bile Acid Kinetics in Human Serum Using Stable Isotope Labeled Chenodeoxycholic Acid and Capillary Gas Chromatograpy Electron Impact Mass Spectrometry,” Biomedical Mass Spectrometry, 10 (3):187-191 (1983). cited by applicant
      Stellaard, “Simultaneous determination of pool sizes and fractional turnover rates, of deoxycholic acid, cholic acid and chenodeoxycholic acid in man by isotope dilution with 2H and 13C labels and serum sampling,” Biomedical and Environmental Mass Spectrometry, vol. 14, pp. 609-611 (1987). cited by applicant
    • Primary Examiner:
      Shen, Bin
    • Attorney, Agent or Firm:
      Merchant & Gould, P.C.
    • الرقم المعرف:
      edspgr.09759731