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Teng H, Hu X, Liu N. HDL-C and creatinine levels at 1 month are associated with patient 12-month survival rate after kidney transplantation. Pharmacogenet Genomics 2024; 34:33-42. [PMID: 37906625 DOI: 10.1097/fpc.0000000000000514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
BACKGROUND Many factors affect the survival rate after kidney transplantation, including laboratory tests, medicine therapy and pharmacogenomics. Tacrolimus, mycophenolate mofetil and methylprednisolone were used as an immunosuppressive regimen after kidney transplantation. The primary goal of this study was to investigate the factors affecting the tacrolimus concentrations and mycophenolate mofetil area under the curve of mycophenolic acid AUC-MPA. Secondary goals were to study the association between perioperative period laboratory tests, medicine therapy, CYP3A5 genetic polymorphisms, and survival rate in kidney renal transplant patients. METHODS A total of 303 patients aged above 18 years were enrolled in this study. Their clinical characteristics, laboratory tests, and medicine therapy regimens were collected. We followed the patients for survival for 1 year after kidney transplantation. RESULTS Multivariable logistic analyses reveal that age greater than 50 years, and the CY3A5 *3*3 genotype were independently, positively, and significantly related to tacrolimus C/D ratio at 7 days. At 1 month of follow-up, only CYP3A5 *3*3 was associated with tacrolimus C/D ratio. Basiliximab, Imipenem and cilastatin sodium, sex were associated with mycophenolate mofetil AUC-MPA at 7 days. In the COX regression analysis, a high-density lipoprotein cholesterol level≥1 mmol/L was identified as a positive independent risk factors for the survival rate, while a creatinine level ≥200 μmol/L was a negatively independent risk factors for survival rate. CONCLUSION These results suggest that age, genes, and drug-drug interaction can affect the concentration of tacrolimus.
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Affiliation(s)
- Haolin Teng
- Department of Urology, The First Hospital of Jilin University
| | - Xinyuan Hu
- Key Laboratory of Organ Regeneration & Transplantation of the Ministry of Education, Genetic Diagnosis Center, The First Hospital of Jilin University, Changchun, China
| | - Nian Liu
- Department of Urology, The First Hospital of Jilin University
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Tornatore KM, Meaney CJ, Attwood K, Brazeau DA, Wilding GE, Consiglio JD, Gundroo A, Chang SS, Gray V, Cooper LM, Venuto RC. Race and sex associations with tacrolimus pharmacokinetics in stable kidney transplant recipients. Pharmacotherapy 2022; 42:94-105. [PMID: 35103348 PMCID: PMC9020367 DOI: 10.1002/phar.2656] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/27/2021] [Accepted: 10/28/2021] [Indexed: 11/22/2022]
Abstract
Study Objective This study investigated race and sex differences in tacrolimus pharmacokinetics and pharmacodynamics in stable kidney transplant recipients. Design and Setting A cross‐sectional, open‐label, single center, 12‐h pharmacokinetic‐pharmacodynamic study was conducted. Tacrolimus pharmacokinetic parameters included area under the concentration‐time curve (AUC0–12), AUC0–4, 12‐h troughs (C12 h), maximum concentrations (Cmax), oral clearance (Cl), with dose‐normalized AUC0–12, troughs, and Cmax with standardized adverse effect scores. Statistical models were used to analyze end points with individual covariate‐adjustment including clinical factors, genotypic variants CYP3A5*3, CYP3A5*6, CYP3A5*7(CYP3A5*3*6*7) metabolic composite, and ATP binding cassette gene subfamily B member 1 (ABCB1) polymorphisms. Patients 65 stable, female and male, Black and White kidney transplant recipients receiving tacrolimus and mycophenolic acid ≥6 months post‐transplant were evaluated. Measurements and Main Results Black recipients exhibited higher tacrolimus AUC0–12 (Race: p = 0.005), lower AUC* (Race: p < 0.001; Race × Sex: p = 0.068), and higher Cl (Race: p < 0.001; Sex: p = 0.066). Greater cumulative (Sex: p < 0.001; Race × Sex: p = 0.014), neurologic (Sex: p = 0.021; Race × Sex: p = 0.005), and aesthetic (Sex: p = 0.002) adverse effects were found in females, with highest scores in Black women. In 84.8% of Black and 68.8% of White patients, the target AUC0–12 was achieved (p = 0.027). In 31.3% of White and 9.1% of Black recipients, AUC0–12 was <100 ng‧h/ml despite tacrolimus troughs in the target range (p = 0.027). The novel CYP3A5*3*6*7 metabolic composite was the significant covariate accounting for 15%–19% of tacrolimus variability in dose (p = 0.002); AUC0–12 h* (p < 0.001), and Cl (p < 0.001). Conclusions Tacrolimus pharmacokinetics and adverse effects were different among stable kidney transplant recipient groups based upon race and sex with interpatient variability associated with the CYP3A5*3*6*7 metabolic composite. More cumulative, neurologic, and aesthetic adverse effects were noted among females. Tacrolimus regimens that consider race and sex may reduce adverse effects and enhance allograft outcomes by facilitating more patients to achieve the targeted AUC0–12 h.
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Affiliation(s)
- Kathleen M. Tornatore
- Immunosuppressive Pharmacology Research Program Translational Pharmacology Research Core NYS Center of Excellence in Bioinformatics & Life Sciences Buffalo New York USA
- Pharmacy School of Pharmacy and Pharmaceutical Sciences Buffalo New York USA
- Nephrology Division Medicine School of Medicine and Biomedical Sciences Buffalo New York USA
| | - Calvin J. Meaney
- Immunosuppressive Pharmacology Research Program Translational Pharmacology Research Core NYS Center of Excellence in Bioinformatics & Life Sciences Buffalo New York USA
- Pharmacy School of Pharmacy and Pharmaceutical Sciences Buffalo New York USA
| | - Kristopher Attwood
- Biostatistics School of Public Health and Health Professions Buffalo New York USA
| | - Daniel A. Brazeau
- Department of Biomedical Sciences Joan C Edwards School of Medicine Marshall University Huntington West Virginia USA
| | - Gregory E. Wilding
- Biostatistics School of Public Health and Health Professions Buffalo New York USA
| | - Joseph D. Consiglio
- Biostatistics School of Public Health and Health Professions Buffalo New York USA
| | - Aijaz Gundroo
- Nephrology Division Medicine School of Medicine and Biomedical Sciences Buffalo New York USA
- Erie County Medical Center Buffalo New York USA
| | - Shirley S. Chang
- Nephrology Division Medicine School of Medicine and Biomedical Sciences Buffalo New York USA
- Erie County Medical Center Buffalo New York USA
| | - Vanessa Gray
- Nephrology Division Medicine School of Medicine and Biomedical Sciences Buffalo New York USA
| | - Louise M. Cooper
- Immunosuppressive Pharmacology Research Program Translational Pharmacology Research Core NYS Center of Excellence in Bioinformatics & Life Sciences Buffalo New York USA
- Pharmacy School of Pharmacy and Pharmaceutical Sciences Buffalo New York USA
| | - Rocco C. Venuto
- Nephrology Division Medicine School of Medicine and Biomedical Sciences Buffalo New York USA
- Erie County Medical Center Buffalo New York USA
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Brazeau DA, Attwood K, Meaney CJ, Wilding GE, Consiglio JD, Chang SS, Gundroo A, Venuto RC, Cooper L, Tornatore KM. Beyond Single Nucleotide Polymorphisms: CYP3A5∗3∗6∗7 Composite and ABCB1 Haplotype Associations to Tacrolimus Pharmacokinetics in Black and White Renal Transplant Recipients. Front Genet 2020; 11:889. [PMID: 32849848 PMCID: PMC7433713 DOI: 10.3389/fgene.2020.00889] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 07/20/2020] [Indexed: 12/12/2022] Open
Abstract
Interpatient variability in tacrolimus pharmacokinetics is attributed to metabolism by cytochrome P-450 3A5 (CYP3A5) isoenzymes and membrane transport by P-glycoprotein. Interpatient pharmacokinetic variability has been associated with genotypic variants for both CYP3A5 or ABCB1. Tacrolimus pharmacokinetics was investigated in 65 stable Black and Caucasian post-renal transplant patients by assessing the effects of multiple alleles in both CYP3A5 and ABCB1. A metabolic composite based upon the CYP3A5 polymorphisms: ∗3(rs776746), ∗6(10264272), and ∗7(41303343), each independently responsible for loss of protein expression was used to classify patients as extensive, intermediate and poor metabolizers. In addition, the role of ABCB1 on tacrolimus pharmacokinetics was assessed using haplotype analysis encompassing the single nucleotide polymorphisms: 1236C > T (rs1128503), 2677G > T/A(rs2032582), and 3435C > T(rs1045642). Finally, a combined analysis using both CYP3A5 and ABCB1 polymorphisms was developed to assess their inter-related influence on tacrolimus pharmacokinetics. Extensive metabolizers identified as homozygous wild type at all three CYP3A5 loci were found in 7 Blacks and required twice the tacrolimus dose (5.6 ± 1.6 mg) compared to Poor metabolizers [2.5 ± 1.1 mg (P < 0.001)]; who were primarily Whites. These extensive metabolizers had 2-fold faster clearance (P < 0.001) with 50% lower AUC∗ (P < 0.001) than Poor metabolizers. No differences in C12 h were found due to therapeutic drug monitoring. The majority of blacks (81%) were classified as either Extensive or Intermediate Metabolizers requiring higher tacrolimus doses to accommodate the more rapid clearance. Blacks who were homozygous for one or more loss of function SNPS were associated with lower tacrolimus doses and slower clearance. These values are comparable to Whites, 82% of who were in the Poor metabolic composite group. The ABCB1 haplotype analysis detected significant associations of the wildtype 1236T-2677T-3435T haplotype to tacrolimus dose (P = 0.03), CL (P = 0.023), CL/LBW (P = 0.022), and AUC∗ (P = 0.078). Finally, analysis combining CYP3A5 and ABCB1 genotypes indicated that the presence of the ABCB1 3435 T allele significantly reduced tacrolimus clearance for all three CPY3A5 metabolic composite groups. Genotypic associations of tacrolimus pharmacokinetics can be improved by using the novel composite CYP3A5∗3∗4∗5 and ABCB1 haplotypes. Consideration of multiple alleles using CYP3A5 metabolic composites and drug transporter ABCB1 haplotypes provides a more comprehensive appraisal of genetic factors contributing to interpatient variability in tacrolimus pharmacokinetics among Whites and Blacks.
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Affiliation(s)
- Daniel A Brazeau
- Department of Pharmacy Practice, Administration and Research, School of Pharmacy, Marshall University, Huntington, WV, United States
| | - Kristopher Attwood
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States
| | - Calvin J Meaney
- Immunosuppressive Pharmacology Research Program, Translational Pharmacology Research Core, NYS Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, United States.,School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, United States
| | - Gregory E Wilding
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States
| | - Joseph D Consiglio
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States
| | - Shirley S Chang
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States.,Erie County Medical Center, Buffalo, NY, United States
| | - Aijaz Gundroo
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States.,Erie County Medical Center, Buffalo, NY, United States
| | - Rocco C Venuto
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States.,Erie County Medical Center, Buffalo, NY, United States
| | - Louise Cooper
- Immunosuppressive Pharmacology Research Program, Translational Pharmacology Research Core, NYS Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, United States.,School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, United States
| | - Kathleen M Tornatore
- Immunosuppressive Pharmacology Research Program, Translational Pharmacology Research Core, NYS Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, United States.,School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, United States.,Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States
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Hart A, Gustafson SK, Wey A, Salkowski N, Snyder JJ, Kasiske BL, Israni AK. The association between loss of Medicare, immunosuppressive medication use, and kidney transplant outcomes. Am J Transplant 2019; 19:1964-1971. [PMID: 30838768 PMCID: PMC6785998 DOI: 10.1111/ajt.15293] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 01/04/2019] [Accepted: 01/22/2019] [Indexed: 01/25/2023]
Abstract
Kidney transplant recipients aged <65 years qualify for Medicare coverage, but coverage ends 3 years posttransplant. We determined the association between timing of Medicare loss and immunosuppressive medication fills and kidney allograft loss. Using data from the Scientific Registry of Transplant Recipients (SRTR), US Renal Data System, and Symphony pharmacy fill database, we analyzed 78 861 Medicare-covered, kidney-alone recipients aged <65 years, and assessed the timing of Medicare loss posttransplant: early (<3 years), on-time (at 3 years), or late (>3 years). Immunosuppressant use was measured as medication possession ratio (MPR). Allograft loss was assessed using SRTR data. MPR was lower for recipients with early or late Medicare loss compared with no coverage loss for all immunosuppressive medication types. For calcineurin inhibitors, early Medicare loss was associated with a 53% to 86% lower MPR. On-time Medicare loss was not associated with a lower MPR. When recipients were matched by age, posttransplant timing of Medicare loss, and donor risk, the hazard of allograft loss was 990% to 1630% higher after early Medicare loss, and 140% to 740% higher after late Medicare loss, with no difference in the hazard for on-time Medicare loss. Ensuring ongoing Medicare access before and after 3 years posttransplant could affect graft survival.
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Affiliation(s)
- Allyson Hart
- Scientific Registry of Transplant Recipients, Hennepin Healthcare Research Institute, Minneapolis, Minnesota,Department of Medicine, Hennepin Healthcare, University of Minnesota, Minneapolis, Minnesota
| | - Sally K. Gustafson
- Scientific Registry of Transplant Recipients, Hennepin Healthcare Research Institute, Minneapolis, Minnesota
| | - Andrew Wey
- Scientific Registry of Transplant Recipients, Hennepin Healthcare Research Institute, Minneapolis, Minnesota
| | - Nicholas Salkowski
- Scientific Registry of Transplant Recipients, Hennepin Healthcare Research Institute, Minneapolis, Minnesota
| | - Jon J. Snyder
- Scientific Registry of Transplant Recipients, Hennepin Healthcare Research Institute, Minneapolis, Minnesota,Department of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Bertram L. Kasiske
- Scientific Registry of Transplant Recipients, Hennepin Healthcare Research Institute, Minneapolis, Minnesota,Department of Medicine, Hennepin Healthcare, University of Minnesota, Minneapolis, Minnesota
| | - Ajay K. Israni
- Scientific Registry of Transplant Recipients, Hennepin Healthcare Research Institute, Minneapolis, Minnesota,Department of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
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Ward FL, O'Kelly P, Donohue F, ÓhAiseadha C, Haase T, Pratschke J, deFreitas DG, Johnson H, Conlon PJ, O'Seaghdha CM. Influence of socioeconomic status on allograft and patient survival following kidney transplantation. Nephrology (Carlton) 2015; 20:426-33. [DOI: 10.1111/nep.12410] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/28/2015] [Indexed: 11/30/2022]
Affiliation(s)
- Frank L Ward
- Department of Transplantation and Renal Medicine; Beaumont Hospital; Dublin Ireland
| | - Patrick O'Kelly
- Department of Transplantation and Renal Medicine; Beaumont Hospital; Dublin Ireland
| | - Fionnuala Donohue
- Health Intelligence Unit; Health & Wellbeing Directorate; Health Service Executive; Dublin Ireland
| | - Coilin ÓhAiseadha
- Health Intelligence Unit; Health & Wellbeing Directorate; Health Service Executive; Dublin Ireland
| | - Trutz Haase
- Social and Economic Consultant; Health Service Executive; Dublin Ireland
| | - Jonathan Pratschke
- Social and Economic Consultant; Health Service Executive; Dublin Ireland
| | - Declan G deFreitas
- Department of Transplantation and Renal Medicine; Beaumont Hospital; Dublin Ireland
| | - Howard Johnson
- Health Intelligence Unit; Health & Wellbeing Directorate; Health Service Executive; Dublin Ireland
| | - Peter J Conlon
- Department of Transplantation and Renal Medicine; Beaumont Hospital; Dublin Ireland
| | - Conall M O'Seaghdha
- Department of Transplantation and Renal Medicine; Beaumont Hospital; Dublin Ireland
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Patzer RE, Mohan S, Kutner N, McClellan WM, Amaral S. Racial and ethnic disparities in pediatric renal allograft survival in the United States. Kidney Int 2015; 87:584-92. [PMID: 25337773 DOI: 10.1038/ki.2014.345] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Revised: 07/25/2014] [Accepted: 08/14/2014] [Indexed: 12/12/2022]
Abstract
This study was undertaken to describe the association of patient race/ethnicity and renal allograft survival among the national cohort of pediatric renal allograft recipients. Additionally, we determined whether racial and ethnic differences in graft survival exist among individuals living in low or high poverty neighborhoods and those with private or public insurance. Among 6,216 incident, pediatric End Stage Renal Disease patients in the United States Renal Data System (kidney transplant from 2000 through September, 2011) 14.4% experienced graft failure, with a median follow-up time of 4.5 years. After controlling for multiple covariates, black race, but not Hispanic ethnicity, was significantly associated with a higher rate of graft failure for both deceased and living donor transplant recipients. Disparities were particularly stark by 5 years post-transplant, when black living donor transplant recipients experienced only 63.0% graft survival compared with 82.8% and 80.8% for Hispanics and whites, respectively. These disparities persisted among high and low poverty neighborhoods and among both privately- and publicly-insured patients. Notably profound declines in both deceased and living donor graft survival rates for black, compared to white and Hispanic, children preceded the 3-year mark when transplant Medicare eligibility ends. Further research is needed to identify the unique barriers to long-term graft success among black pediatric transplant recipients.
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Abstract
BACKGROUND Research focused on identifying vulnerable populations and revealing specific risk factors for barriers along the pathway from ESRD to kidney transplantation has been mostly descriptive and the causes of existing disparities remain unclear. However, several socio-economic factors that are associated with the access to and the outcome of the kidney transplantation have been identified. SUMMARY While the presence of racial, gender, and geographic disparities is noted, we were interested mostly to describe potential socio-economic factors associated with and possibly responsible for the presence of such disparities. In this review we focused on five factors: education level, employment status, income, presence of substance addiction or abuse, and marital status. We describe the new method to quantify patients' socio-economic status and identify the group of high risk in terms of the transplant outcome, easily calculated social adaptability index, previously associated with clinical outcome in several patient populations including those with kidney transplant. At the end, based on literature analyzed we offer potential interventions that potentially can be used in order to reduce the degree of disparities. CONCLUSION Based on review of literature socio-economic factors are associated with and possibly responsible for healthcare disparities. Social adaptability index allows quantifying the degree of socio-economic status and identifying the group of high risk for inferior transplant outcome.
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Affiliation(s)
- Tammy Hod
- Division of Nephrology and Center for Vascular Biology Research, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School , Boston , MA
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Spivey CA, Chisholm-Burns MA, Damadzadeh B, Billheimer D. Determining the effect of immunosuppressant adherence on graft failure risk among renal transplant recipients. Clin Transplant 2013; 28:96-104. [DOI: 10.1111/ctr.12283] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/25/2013] [Indexed: 01/06/2023]
Affiliation(s)
| | | | - Bita Damadzadeh
- Zuckerman College of Public Health; University of Arizona; Tucson AZ USA
| | - Dean Billheimer
- College of Agriculture and Life Sciences; BIO5 Institute; University of Arizona; Tucson AZ USA
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