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Rahimi Kakavandi N, Asadi T, Jannat B, Abdi K, Ghazi-Khansari M, Shahali H, Naraki K. Method development for determination of imatinib and its major metabolite, N-desmethyl imatinib, in biological and environmental samples by SA-SHS-LPME and HPLC. Biomed Chromatogr 2021; 35:e5088. [PMID: 33590534 DOI: 10.1002/bmc.5088] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 11/09/2020] [Accepted: 11/30/2020] [Indexed: 01/01/2023]
Abstract
A salting-out-assisted switchable hydrophilicity solvent-based liquid phase microextraction (SA-SHS-LPME) was developed for the separation and determination of trace amounts of imatinib and N-desmethyl imatinib in biological and environmental samples by HPLC-UV. Triethylamine as a hydrophobic compound and protonated triethylamine carbonate as a hydrophilic one were switched by the addition or elimination of CO2 . The use of NaOH resulted in the elimination of CO2 from the sample solution, which led to the conversion of P-TEA-C into triethylamine (TEA) and as a result, the analytes was extracted and entered the TEA phase. The salting out was performed to speed up the formation of the TEA in the shape of fine droplets in the specimen solution. Furthermore, the impact of several momentous factors that influence the recovery of the extraction was investigated. Under the optimum conditions, the limit of detection and limit of quantification were obtained in ranges of 0.03-0.05 and 0.1-0.15 μg L-1 for imatinib and 0.04-0.06 and 0.13-0.20 μg L-1 for N-desmethyl imatinib, respectively. The preconcentration factor was 250. Inter- and intraday precision (RSD, n = 5) was <5%. In the case of imatinib and N-desmethyl imatinib in biological and environmental specimens, a range of 97.0-102% was obtained as the recovery.
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Affiliation(s)
- Nader Rahimi Kakavandi
- Department of Toxicology and Pharmacology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.,Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Tayebeh Asadi
- Department of Toxicology and Pharmacology, School of Pharmacy, Hamadan University of Medical Sciences, Hamadan, Iran.,Students Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
| | | | - Khosrou Abdi
- Department of Radiopharmacy and Medicinal Chemistry, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.,Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahmoud Ghazi-Khansari
- Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Shahali
- School of Metallurgy and Materials Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Karim Naraki
- Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Lu J, Zhang Y, Wang S, Bi Y, Huang T, Luo X, Cai YD. Analysis of Four Types of Leukemia Using Gene Ontology Term and Kyoto Encyclopedia of Genes and Genomes Pathway Enrichment Scores. Comb Chem High Throughput Screen 2019; 23:295-303. [PMID: 30599106 DOI: 10.2174/1386207322666181231151900] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 09/24/2018] [Accepted: 12/05/2018] [Indexed: 12/16/2022]
Abstract
AIM AND OBJECTIVE Leukemia is the second common blood cancer after lymphoma, and its incidence rate has an increasing trend in recent years. Leukemia can be classified into four types: acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), chronic lymphocytic leukemia (CLL), and chronic myelogenous leukemia (CML). More than forty drugs are applicable to different types of leukemia based on the discrepant pathogenesis. Therefore, the identification of specific drug-targeted biological processes and pathways is helpful to determinate the underlying pathogenesis among such four types of leukemia. METHODS In this study, the gene ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways that were highly related to drugs for leukemia were investigated for the first time. The enrichment scores for associated GO terms and KEGG pathways were calculated to evaluate the drugs and leukemia. The feature selection method, minimum redundancy maximum relevance (mRMR), was used to analyze and identify important GO terms and KEGG pathways. RESULTS Twenty Go terms and two KEGG pathways with high scores have all been confirmed to effectively distinguish four types of leukemia. CONCLUSION This analysis may provide a useful tool for the discrepant pathogenesis and drug design of different types of leukemia.
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Affiliation(s)
- Jing Lu
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, 32 Qingquan Road, Yantai 264005, China
| | - YuHang Zhang
- Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - ShaoPeng Wang
- School of Life Sciences, Shanghai University, 99 Shangda Road, Shanghai 200444, China
| | - Yi Bi
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, 32 Qingquan Road, Yantai 264005, China
| | - Tao Huang
- Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Xiaomin Luo
- Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of MateriaMedica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China
| | - Yu-Dong Cai
- School of Life Sciences, Shanghai University, 99 Shangda Road, Shanghai 200444, China
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Ramanathan RK, Egorin MJ, Takimoto CH, Remick SC, Doroshow JH, LoRusso PA, Mulkerin DL, Grem JL, Hamilton A, Murgo AJ, Potter DM, Belani CP, Hayes MJ, Peng B, Ivy SP. Phase I and Pharmacokinetic Study of Imatinib Mesylate in Patients With Advanced Malignancies and Varying Degrees of Liver Dysfunction: A Study by the National Cancer Institute Organ Dysfunction Working Group. J Clin Oncol 2008; 26:563-9. [DOI: 10.1200/jco.2007.11.0304] [Citation(s) in RCA: 77] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Purpose To develop dosing guidelines and to evaluate the pharmacokinetics of imatinib in patients with liver dysfunction (LD). Patients and Methods Patients (N = 89) with varying solid tumors and liver function were stratified into four groups according to serum total bilirubin and AST and were treated with escalating doses of imatinib. Plasma and urine were assayed for concentrations of imatinib and its active metabolite, CGP74588 . Results In the mild LD group, dose-limiting toxicity, specifically nausea/vomiting and fatigue, occurred in two patients at the 600 mg/d dose level. In the moderate and severe LD groups, the maximal dose evaluated was 300 mg/d. Grade 3 to 4 toxicities consisted primarily of liver function test elevations (24%), nausea/vomiting (10%), fatigue (6%), and edema (5%). After the first imatinib dose, the mean (± SD) dose-normalized areas under the plasma concentration-time curve from time 0 to infinity (AUC0-∞) were 162 ± 155, 171 ± 72, 182 ± 157, and 185 ± 172 (μg/mL × h)/mg for normal, mild, moderate, and severe LD groups, respectively. Renal excretion of imatinib was less than 10% of the total dose in all groups. Conclusion Imatinib exposure (as measured by the dose-normalized AUC) did not differ between patients with normal liver function and those with LD. The maximal recommended dose of imatinib for patients with mild LD is 500 mg/d. Dosing guidelines for patients with moderate and severe LD remain undetermined.
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Affiliation(s)
- Ramesh K. Ramanathan
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Merrill J. Egorin
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Chris H.M. Takimoto
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Scot C. Remick
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - James H. Doroshow
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Patricia A. LoRusso
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Daniel L. Mulkerin
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Jean L. Grem
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Anne Hamilton
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Anthony J. Murgo
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Douglas M. Potter
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Chandra P. Belani
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Michael J. Hayes
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - Bin Peng
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
| | - S. Percy Ivy
- From the Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine; the Biostatistics Department, University of Pittsburgh Graduate School of Public Health; and the Biostatistics Facility, University of Pittsburgh Cancer Institute, Pittsburgh, PA; the University of Texas, San Antonio, TX; Case Western Reserve University, Cleveland, OH; City of Hope National Medical Center, Duarte, CA; Wayne State University, Detroit, MI; the University of Wisconsin Paul P
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