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Regasa MB, Nyokong T. Design and fabrication of electrochemical sensor based on molecularly imprinted polymer loaded onto silver nanoparticles for the detection of 17-β-Estradiol. J Mol Recognit 2022; 35:e2978. [PMID: 35633278 DOI: 10.1002/jmr.2978] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/18/2022] [Accepted: 05/19/2022] [Indexed: 11/09/2022]
Abstract
In this research report, we prepared an electrochemical sensor based on the molecularly imprinted poly(p-aminophenol) supported by silver nanoparticles capped with 2-mercaptobenzoxazole (AgNP) for the selective and sensitive detection of endocrine disrupting 17β-estradiol (E2). The electropolymerization of the functional monomer prepared the proposed MIP composite-based sensor in the presence of E2 as a template. The recognition materials were characterized using Fourier transform infrared, cyclic voltammetry (CV), square wave voltammetry (SWV), scanning electron microscopy, energy-dispersive X-ray spectroscopy and x-ray powder diffraction techniques. The electrochemical measurements were performed by employing both CV and SWV methods. We did the optimization of critical parameters affecting the sensor performances through the experimental design and verification. The developed sensor showed a linear range from 10 pM to 100 nM with the calculated quantification and detection limits of 1.86 pM and 6.19 pM, respectively. The incorporation of AgNP with high electrical conductivity into the MIP matrix enhanced the sensor's performance. Furthermore, the sensor was applied to determine E2 in real water samples without any sample preconcentration steps to achieve the percent recovery of 91.87-98.36% and acceptable reusability and storage stability performances. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Melkamu Biyana Regasa
- Institute for Nanotechnology Innovation, Rhodes University, Makhanda, South Africa.,Chemistry Department, College of Natural and Computational Sciences, Wollega University, Nekemte, Ethiopia
| | - Tebello Nyokong
- Chemistry Department, College of Natural and Computational Sciences, Wollega University, Nekemte, Ethiopia
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Gaspar VP, Ibrahim S, Zahedi RP, Borchers CH. Utility, promise, and limitations of liquid chromatography-mass spectrometry-based therapeutic drug monitoring in precision medicine. JOURNAL OF MASS SPECTROMETRY : JMS 2021; 56:e4788. [PMID: 34738286 PMCID: PMC8597589 DOI: 10.1002/jms.4788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/05/2021] [Accepted: 10/06/2021] [Indexed: 05/03/2023]
Abstract
Therapeutic drug monitoring (TDM) is typically referred to as the measurement of the concentration of drugs in patient blood. Although in the past, TDM was restricted to drugs with a narrow therapeutic range in order to avoid drug toxicity, TDM has recently become a major tool for precision medicine being applied to many more drugs. Through compensating for interindividual differences in a drug's pharmacokinetics, improved dosing of individual patients based on TDM ensures maximum drug effectiveness while minimizing side effects. This is especially relevant for individuals that present a particularly high intervariability in pharmacokinetics, such as newborns, or for critically/severely ill patients. In this article, we will review the applications for and limitations of TDM, discuss for which patients TDM is most beneficial and why, examine which techniques are being used for TDM, and demonstrate how mass spectrometry is increasingly becoming a reliable and convenient alternative for the TDM of different classes of drugs. We will also highlight the advances, challenges, and limitations of the existing repertoire of TDM methods and discuss future opportunities for TDM-based precision medicine.
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Affiliation(s)
- Vanessa P. Gaspar
- Segal Cancer Proteomics CentreMcGill UniversityMontrealQuebecCanada
- Gerald Bronfman Department of OncologyMcGill UniversityMontrealQuebecCanada
| | - Sahar Ibrahim
- Segal Cancer Proteomics CentreMcGill UniversityMontrealQuebecCanada
- Division of Experimental MedicineMcGill UniversityMontrealQuebecCanada
- Clinical Pathology DepartmentMenoufia UniversityShibin el KomEgypt
| | - René P. Zahedi
- Segal Cancer Proteomics CentreMcGill UniversityMontrealQuebecCanada
- Center for Computational and Data‐Intensive Science and EngineeringSkolkovo Institute of Science and TechnologyMoscowRussia
| | - Christoph H. Borchers
- Segal Cancer Proteomics CentreMcGill UniversityMontrealQuebecCanada
- Gerald Bronfman Department of OncologyMcGill UniversityMontrealQuebecCanada
- Center for Computational and Data‐Intensive Science and EngineeringSkolkovo Institute of Science and TechnologyMoscowRussia
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Denver N, Khan S, Homer NZM, MacLean MR, Andrew R. Current strategies for quantification of estrogens in clinical research. J Steroid Biochem Mol Biol 2019; 192:105373. [PMID: 31112747 PMCID: PMC6726893 DOI: 10.1016/j.jsbmb.2019.04.022] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 04/24/2019] [Accepted: 04/29/2019] [Indexed: 12/22/2022]
Abstract
Estrogens and their bioactive metabolites play key roles in regulating diverse processes in health and disease. In particular, estrogens and estrogenic metabolites have shown both protective and non-protective effects on disease pathobiology, implicating the importance of this steroid pathway in disease diagnostics and monitoring. All estrogens circulate in a wide range of concentrations, which in some patient cohorts can be extremely low. However, elevated levels of estradiol are reported in disease. For example, in pulmonary arterial hypertension (PAH) elevated levels have been reported in men and postmenopausal women. Conventional immunoassay techniques have come under scrutiny, with their selectivity, accuracy and precision coming into question. Analytical methodologies such as gas and liquid chromatography coupled to single and tandem mass spectrometric approaches (GC-MS, GC-MS/MS, LC-MS and LC-MS/MS) have been developed to quantify endogenous estrogens and in some cases their bioactive metabolites in biological fluids such as urine, serum, plasma and saliva. Liquid-liquid or solid-phase extraction approaches are favoured with derivatization remaining a necessity for detection in lower volumes of sample. The limits of quantitation of individual assays vary but are commonly in the range of 0.5-5 pg/mL for estrone and estradiol, with limits for their bioactive metabolites being higher. This review provides an overview of current approaches for measurement of unconjugated estrogens in biological matrices by MS, highlighting the advances in this field and the challenges remaining for routine use in the clinical and research environment.
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Affiliation(s)
- Nina Denver
- Mass Spectrometry Core, Edinburgh Clinical Research Facility, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, United Kingdom; Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, University Avenue, Glasgow, G12 8QQ, United Kingdom; Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow, G4 0RE, United Kingdom.
| | - Shazia Khan
- Mass Spectrometry Core, Edinburgh Clinical Research Facility, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, United Kingdom; University/BHF Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47, Little France Crescent, Edinburgh, UK, EH16 4TJ.
| | - Natalie Z M Homer
- Mass Spectrometry Core, Edinburgh Clinical Research Facility, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, United Kingdom.
| | - Margaret R MacLean
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow, G4 0RE, United Kingdom.
| | - Ruth Andrew
- Mass Spectrometry Core, Edinburgh Clinical Research Facility, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh, EH16 4TJ, United Kingdom; University/BHF Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47, Little France Crescent, Edinburgh, UK, EH16 4TJ.
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Li J, Li L, Bian Y, Yu Y, Qiang Z, Zhang Y, Li H. Quantitation of estradiol by competitive light-initiated chemiluminescent assay using estriol as competitive antigen. J Clin Lab Anal 2019; 34:e23014. [PMID: 31444844 PMCID: PMC6977107 DOI: 10.1002/jcla.23014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 07/28/2019] [Accepted: 07/30/2019] [Indexed: 12/12/2022] Open
Abstract
Background Light‐initiated chemiluminescent assays (LICA) are homogeneous assays that are sensitive, specific, and free of separation and washing steps and have high throughput and high precision. Methods In this research, we developed a competitive method by LICA to achieve accurate quantification of estradiol (E2) in human serum. E2 competed with estriol (E3) for binding to anti‐human E2 antibodies. E3 was linked to biotin via bovine serum albumin as a linker. As this assay used competition between the labeled tracer and the analyte, an increase in E2 concentration will cause a signal decrease. Results The expected detection range of E2 was 20‐5000 pg/mL. The analytical and functional sensitivities were 7.16 and 13.7 pg/mL, respectively. The intra‐ and inter‐assay coefficients of variation were both below 15%, and the recovery rate ranged from 97.5% to 106.8%. The interference rates ranged from −3.6% to 5.4% and met detection requirements for E2 in hyperbilirubinemia, hemolysis, and lipemia in clinical samples. In addition, the cross‐reactivity rates between E2 and structural analogs and some reproductive hormones varied from 1.9% to 10.6% which showed that LICA is highly specific for E2. Moreover, our results showed high accordance with the IMMULITE 2000 (y = 0.6695x + 47.92, r2 = .843) and VIDAS systems (y = 1.099x − 821.5, r2 = .9392). Conclusion Our data show that the LICA, which is easy to automate, is a promising technique for quantification of E2 in human serum and could be used for clinical detection.
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Affiliation(s)
- Jiuzhi Li
- School of Medical Laboratory, Tianjin Medical University, Tianjin, China.,Department of Clinical Laboratory, Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin, China
| | - Liuxu Li
- School of Medical Laboratory, Tianjin Medical University, Tianjin, China
| | - Ying Bian
- School of Medical Laboratory, Tianjin Medical University, Tianjin, China
| | - Yang Yu
- School of Medical Laboratory, Tianjin Medical University, Tianjin, China
| | - Zhonghua Qiang
- School of Medical Laboratory, Tianjin Medical University, Tianjin, China
| | - Yuexiang Zhang
- Department of Clinical Laboratory, Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin, China
| | - Huiqiang Li
- School of Medical Laboratory, Tianjin Medical University, Tianjin, China
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Kim KJ, Kim HJ, Park HG, Hwang CH, Sung C, Jang KS, Park SH, Kim BG, Lee YK, Yang YH, Jeong JH, Kim YG. A MALDI-MS-based quantitative analytical method for endogenous estrone in human breast cancer cells. Sci Rep 2016; 6:24489. [PMID: 27091422 PMCID: PMC4836303 DOI: 10.1038/srep24489] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2015] [Accepted: 03/30/2016] [Indexed: 12/19/2022] Open
Abstract
The level of endogenous estrone, one of the three major naturally occurring estrogens, has a significant correlation with the incidence of post-menopausal breast cancer. However, it is challenging to quantitatively monitor it owing to its low abundance. Here, we develop a robust and highly sensitive mass-assisted laser desorption/ionization mass spectrometry (MALDI-MS)-based quantitative platform to identify the absolute quantities of endogenous estrones in a variety of clinical specimens. The one-step modification of endogenous estrone provided good linearity (R(2) > 0.99) and significantly increased the sensitivity of the platform (limit of quantitation: 11 fmol). In addition, we could identify the absolute amount of endogenous estrones in cells of the breast cancer cell line MCF-7 (34 fmol/10(6) cells) by using a deuterated estrone as an internal standard. Finally, by applying the MALDI-MS-based quantitative method to endogenous estrones, we successfully monitored changes in the metabolic expression level of estrones (17.7 fmol/10(6) letrozole-treated cells) in MCF-7 cells resulting from treatment with an aromatase inhibitor. Taken together, these results suggest that this MALDI-MS-based quantitative approach may be a general method for the targeted metabolomics of ketone-containing metabolites, which can reflect clinical conditions and pathogenic mechanisms.
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Affiliation(s)
- Kyoung-Jin Kim
- Department of Chemical Engineering, Soongsil University, Seoul 156-743, Korea
| | - Hee-Jin Kim
- Department of Chemical Engineering, Soongsil University, Seoul 156-743, Korea
| | - Han-Gyu Park
- Department of Chemical Engineering, Soongsil University, Seoul 156-743, Korea
| | - Cheol-Hwan Hwang
- Department of Chemical Engineering, Soongsil University, Seoul 156-743, Korea
| | - Changmin Sung
- School of Chemical and Biological Engineering, Seoul National University, Seoul 151-742, Korea
| | - Kyoung-Soon Jang
- Division of Bioconvergence Analysis, Korea Basic Science Institute, Chungbuk 363-883, Korea
| | - Sung-Hee Park
- School of Chemical and Biological Engineering, Seoul National University, Seoul 151-742, Korea
| | - Byung-Gee Kim
- School of Chemical and Biological Engineering, Seoul National University, Seoul 151-742, Korea
| | - Yoo-Kyung Lee
- Division of Life Sciences, Korea Polar Research Institute, Incheon 406-840, Korea
| | - Yung-Hun Yang
- Department of Microbial Engineering, College of Engineering, Konkuk University, Seoul 143-701, Korea
| | - Jae Hyun Jeong
- Department of Chemical Engineering, Soongsil University, Seoul 156-743, Korea
| | - Yun-Gon Kim
- Department of Chemical Engineering, Soongsil University, Seoul 156-743, Korea
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