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Pilařová V, Plachká K, Svec F, Nováková L. Matrix effects in ultra-high performance supercritical fluid chromatography-mass spectrometry analysis of vitamin E in plasma: The effect of sample preparation and data processing. Talanta 2024; 280:126658. [PMID: 39137659 DOI: 10.1016/j.talanta.2024.126658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 07/29/2024] [Accepted: 07/31/2024] [Indexed: 08/15/2024]
Abstract
The approaches to matrix effects determination and reduction in ultra-high performance supercritical fluid chromatography with mass spectrometry detection have been evaluated in this study using different sample preparation methods and investigation of different calibration models. Five sample preparation methods, including protein precipitation, liquid-liquid extraction, supported liquid extraction, and solid phase extraction based on both "bind and elute" and "interferent removal" modes, were optimized with an emphasis on the matrix effects and recovery of 8 forms of vitamin E, including α-, β-, γ-, and δ-tocopherols and tocotrienols, from plasma. The matrix effect evaluation included the use and comparison of external and internal calibration using three models, i.e., least square with no transformation and no weighting (1/x0), with 1/x2 weighting, and with logarithmic transformation. The calibration model with logarithmic transformation provided the lowest %-errors and the best fits. Moreover, the type of the calibration model significantly affected not only the fit of the data but also the matrix effects when evaluating them based on the comparison of calibration curve slopes. Indeed, based on the used calibration model, the matrix effects calculated from calibration slopes ranged from +92% to - 72% for α-tocopherol and from -77% to +19% in the case of δ-tocotrienol. Thus, it was crucial to calculate the matrix effect by Matuszewski's post-extraction approach at six concentration levels. Indeed, a strong concentration dependence was observed for all optimized sample preparation methods, even if the stable isotopically labelled internal standards (SIL-IS) were used for compensation. The significant differences between individual concentration levels and compounds were observed, even when the tested calibration range covered only one order of magnitude. In methods with wider calibration ranges, the inappropriate use of calibration slope comparison instead of the post-extraction addition approach could result in false negative results of matrix effects. In the selected example of vitamin E, solid-phase extraction was the least affected by matrix effects when used in interferent removal mode, but supported liquid extraction resulted in the highest recoveries. We showed that the calibration model, the use of a SIL-IS, and the analyte concentration level played a crucial role in the matrix effects. Moreover, the matrix effects can significantly differ for compounds with similar physicochemical properties and close retention times. Thus, in all bioanalytical applications, where different analytes are typically determined in one analytical run, it is necessary to carefully select the data processing in addition to the method for the sample preparation, SIL-IS, and chromatography.
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Affiliation(s)
- Veronika Pilařová
- Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203, 500 03, Hradec Králové, Czech Republic
| | - Kateřina Plachká
- Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203, 500 03, Hradec Králové, Czech Republic
| | - Frantisek Svec
- Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203, 500 03, Hradec Králové, Czech Republic
| | - Lucie Nováková
- Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203, 500 03, Hradec Králové, Czech Republic.
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Mekasha YT, Wondie Mekonen A, Nigussie S, Usure RE, Feleke MG. Modeling and comparison of dissolution profiles for different brands of albendazole boluses. BMC Pharmacol Toxicol 2024; 25:48. [PMID: 39123260 PMCID: PMC11316307 DOI: 10.1186/s40360-024-00774-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND Addressing critical veterinary drugs, especially drugs with solubility problems like albendazole, and their implications for therapeutic efficacy, in-vitro dissolution studies can indeed provide valuable insights into how different brands of albendazole boluses perform under standardized conditions, helping to assess their dissolution profiles and potential bioavailability. METHODS Six brands of albendazole 300 mg boluses were collected from December 2020 to May 2021 G.C. The laboratory work was conducted from December 2020 to May 2021 in the National Animal Products and Veterinary Drugs and Feed Quality Assessment Centre (APVD-FQAC) laboratories. The collected brands from government veterinary clinics and private veterinary shops were subjected to model independent and dependent parameters. The dissolution test was conducted according to the USP monograph. RESULTS The study found that none of the six brands met the requirements of the dissolution test, as their API release was less than 80% within the specified 60-minute timeframe according to USP standards. Model independence indicated that only one brand (Alb002 = 3.72) achieved a difference factor of ≤ 15%. The remaining four brands (4/6) did not meet this criterion. However, the similarity factor (f2) revealed that all five brands (5/6) were comparable to the comparator products, with f2 values of [Formula: see text]50%. The mean dissolution time results confirmed that three brands (3/6) had the highest dissolution rate and the fastest onset of action. The model-dependent kinetics indicated that the Weibull and Korsemeyer-Peppas models were the best fit for the release of drug substances. CONCLUSION The study highlights issues with albendazole boluses' quality, highlighting the need for national in-vitro dissolution studies. These recommendations could improve quality control, streamline regulatory frameworks, and offer practical, cost-effective methods for evaluating drug efficacy and safety, ensuring veterinary pharmaceuticals meet safety and efficacy standards.
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Affiliation(s)
- Yesuneh Tefera Mekasha
- Pharmaceutical Sciences, Pharmaceutical Quality Assurance, and Regulatory Affairs, University of Gondar, P.O.BOX:196, Gondar, Ethiopia.
| | - Abibo Wondie Mekonen
- Department of Veterinary Pharmacy, Pharmaceutical supply chain management, University of Gondar, Gondar, Ethiopia
| | - Sete Nigussie
- Department of Veterinary Pharmacy, College of Veterinary medicine and Animal Sciences, University of Gondar, Gondar, Ethiopia
| | - Rashed Edris Usure
- School of Pharmacy, Department of Pharmaceutical Chemistry, Hawassa University, Hawassa, Ethiopia
| | - Melaku Getahun Feleke
- Department of Veterinary Pharmacy, Pharmaceutical Analysis and Quality Assurance, University of Gondar, Gondar, Ethiopia
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Kehrli J, Husser C, Ryckelynck M. Fluorogenic RNA-Based Biosensors of Small Molecules: Current Developments, Uses, and Perspectives. BIOSENSORS 2024; 14:376. [PMID: 39194605 DOI: 10.3390/bios14080376] [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: 06/05/2024] [Revised: 07/14/2024] [Accepted: 07/19/2024] [Indexed: 08/29/2024]
Abstract
Small molecules are highly relevant targets for detection and quantification. They are also used to diagnose and monitor the progression of disease and infectious processes and track the presence of contaminants. Fluorogenic RNA-based biosensors (FRBs) represent an appealing solution to the problem of detecting these targets. They combine the portability of molecular systems with the sensitivity and multiplexing capacity of fluorescence, as well as the exquisite ligand selectivity of RNA aptamers. In this review, we first present the different sensing and reporting aptamer modules currently available to design an FRB, together with the main methodologies used to discover modules with new specificities. We next introduce and discuss how both modules can be functionally connected prior to exploring the main applications for which FRB have been used. Finally, we conclude by discussing how using alternative nucleotide chemistries may improve FRB properties and further widen their application scope.
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Affiliation(s)
- Janine Kehrli
- Université de Strasbourg, CNRS, Architecture et Réactivité de l'ARN, UPR 9002, F-67000 Strasbourg, France
| | - Claire Husser
- Université de Strasbourg, CNRS, Architecture et Réactivité de l'ARN, UPR 9002, F-67000 Strasbourg, France
| | - Michael Ryckelynck
- Université de Strasbourg, CNRS, Architecture et Réactivité de l'ARN, UPR 9002, F-67000 Strasbourg, France
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4
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Sonntag O, Loh TP. Calibración, un componente subestimado del proceso analítico en el laboratorio clínico. ADVANCES IN LABORATORY MEDICINE 2024; 5:153-158. [PMID: 38939209 PMCID: PMC11206177 DOI: 10.1515/almed-2023-0147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 10/12/2023] [Indexed: 06/29/2024]
Abstract
En el laboratorio clínico, la calibración de los procedimientos de medición es un aspecto clave a la hora de garantizar la fiabilidad de los resultados del paciente. A lo largo de los años, se han publicado multitud de publicaciones y procedimientos para la evaluación del control de calidad y la interpretación de sus resultados. En esta publicación, nos centraremos en un aspecto crítico, la calibración, ya que no existen publicaciones o directrices claras sobre metodologías de calibración. Por lo general, solo están disponibles las recomendaciones del fabricante del reactivo o instrumento. El propósito de esta revisión es ahondar en esta deficiencia, con el fin de suscitar un debate y mejorar la situación actual.
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Affiliation(s)
| | - Tze Ping Loh
- Consultor Senior, División de Química Clínica, Departamento de Medicina de Laboratorio, Hospital Nacional Universitario, Singapore, Singapore
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Sonntag O, Loh TP. Calibration - an under-appreciated component in the analytical process of the medical laboratories. ADVANCES IN LABORATORY MEDICINE 2024; 5:148-152. [PMID: 38939195 PMCID: PMC11206179 DOI: 10.1515/almed-2023-0127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 10/12/2023] [Indexed: 06/29/2024]
Abstract
Calibration of an analytical measurement procedure is an important basis for the reliability of patient results. Many publications and as well as procedures on how to estimate quality control and interpret those results have been become available over the years. In this publication we are focusing on the critical part of the calibration as there are no clear communication or guidelines on how to perform it. Usually only the recommendation of the reagent or instrument manufacturer is available. We would like to point out this gap to invite for a discussion and improvement of the current situation.
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Affiliation(s)
| | - Tze Ping Loh
- Clinical Chemistry Division, Department of Laboratory Medicine, National University Hospital, Singapore, Singapore
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Ghafari N, Sleno L. Challenges and recent advances in quantitative mass spectrometry-based metabolomics. ANALYTICAL SCIENCE ADVANCES 2024; 5:e2400007. [PMID: 38948317 PMCID: PMC11210748 DOI: 10.1002/ansa.202400007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 06/03/2024] [Accepted: 06/08/2024] [Indexed: 07/02/2024]
Abstract
The field of metabolomics has gained tremendous interest in recent years. Whether the goal is to discover biomarkers related to certain pathologies or to better understand the impact of a drug or contaminant, numerous studies have demonstrated how crucial it is to understand variations in metabolism. Detailed knowledge of metabolic variabilities can lead to more effective treatments, as well as faster or less invasive diagnostics. Exploratory approaches are often employed in metabolomics, using relative quantitation to look at perturbations between groups of samples. Most metabolomics studies have been based on metabolite profiling using relative quantitation, with very few studies using an approach for absolute quantitation. Using accurate quantitation facilitates the comparison between different studies, as well as enabling longitudinal studies. In this review, we discuss the most widely used techniques for quantitative metabolomics using mass spectrometry (MS). Various aspects will be addressed, such as the use of external and/or internal standards, derivatization techniques, in vivo isotopic labelling, or quantitative MS imaging. The principles, as well as the associated limitations and challenges, will be described for each approach.
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Affiliation(s)
- Nathan Ghafari
- Chemistry Department/CERMO‐FCUniversity of Quebec in Montreal (UQAM)MontrealCanada
| | - Lekha Sleno
- Chemistry Department/CERMO‐FCUniversity of Quebec in Montreal (UQAM)MontrealCanada
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Xiang F, Ding CX, Wang M, Hu H, Ma XJ, Xu XB, Zaki Abubakar B, Pignitter M, Wei KN, Shi AM, Wang Q. Vegetable oils: Classification, quality analysis, nutritional value and lipidomics applications. Food Chem 2024; 439:138059. [PMID: 38039608 DOI: 10.1016/j.foodchem.2023.138059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/19/2023] [Accepted: 11/20/2023] [Indexed: 12/03/2023]
Abstract
Lipids are widespread in nature and play a pivotal role as a source of energy and nutrition for the human body. Vegetable oils (VOs) constitute a significant category in the food industry, containing various lipid components that have garnered attention for being natural, environmentally friendly and health-promoting. The review presented the classification of raw materials (RMs) from oil crops and quality analysis techniques of VOs, with the aim of improving comprehension and facilitating in-depth research of VOs. Brief descriptions were provided for four categories of VOs, and quality analysis techniques for both RMs and VOs were generalized. Furthermore, this study discussed the applications of lipidomics technology in component analysis, processing and utilization, quality determination, as well as nutritional function assessment of VOs. Through reviewing RMs and quality analysis techniques of VOs, this study aims to encourage further refinement and development in the processing and utilization of VOs, offering valuable references for theoretical and applied research in food chemistry and food science.
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Affiliation(s)
- Fei Xiang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Cai-Xia Ding
- Wilmar (Shanghai) Biotechnology Research & Development Center Co., Ltd., Shanghai 200137, China
| | - Miao Wang
- The China-Africa Green Agriculture Development Research Center, CGCOC Agriculture Development Co., Ltd., Beijing 100101, China
| | - Hui Hu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Xiao-Jie Ma
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Xue-Bing Xu
- Wilmar (Shanghai) Biotechnology Research & Development Center Co., Ltd., Shanghai 200137, China
| | - Bello Zaki Abubakar
- Department of Agricultural Extension and Rural Development, Faculty of Agriculture, Usmanu Danfodiyo University, Sokoto 840101, Nigeria
| | - Marc Pignitter
- Institute of Physiological Chemistry, Faculty of Chemistry, University of Vienna, Vienna 1090, Austria
| | - Kang-Ning Wei
- The China-Africa Green Agriculture Development Research Center, CGCOC Agriculture Development Co., Ltd., Beijing 100101, China
| | - Ai-Min Shi
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
| | - Qiang Wang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
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8
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Yang S, Lin H, Yang P, Meng J, Abdallah MF, Shencheng Y, Li R, Li J, Liu S, Li Q, Lu P, Zhang R, Li Y. Advancing High-Throughput MS-Based Protein Quantification: A Case Study on Quantifying 10 Major Food Allergens by LC-MS/MS Using a One-Sample Multipoint External Calibration Curve. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:6625-6637. [PMID: 38494953 DOI: 10.1021/acs.jafc.3c08362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
The LC-MS-based method has emerged as the preferred approach for quantifying food allergens. However, the preparation of a traditional calibration curve (MSCC) is labor-intensive and error-prone. Here, a sensitive and robust LC-MS/MS method for quantifying 10 major food allergens was developed and validated, where the one-sample multipoint external calibration curve (OSCC) was employed instead of MSCC. By employing the multiple isotopologue reaction monitoring (MIRM) technique with only one spiked level in the blank, OSCC can be effectively established. Results demonstrate that the proposed method exhibits excellent performance in selectivity, sensitivity, accuracy, and precision, comparable to that of the traditional MSCC. Additionally, this strategy allows for isotope sample dilution by monitoring the less abundant MIRM channel. Moreover, the developed method was successfully applied to investigate the contamination of 10 food allergens in commercial food products. With its high throughput and robustness, the MIRM-OSCC-LC-MS/MS methodology has many potential applications, especially in the MS-based protein quantification analysis.
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Affiliation(s)
- Shupeng Yang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Haopeng Lin
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Peijie Yang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Junhong Meng
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Mohamed F Abdallah
- Department of Food Technology, Safety and Health, Ghent University, Coupure Links 653, Ghent 9000, Belgium
- Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, Assiut University, Assiut 71515, Egypt
| | - Yingnan Shencheng
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Ruohan Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Jianxun Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Shuyan Liu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Qianqian Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Peng Lu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Rong Zhang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Yi Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
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9
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Sun F, Li Y, Tan H, Wu P, Shencheng Y, Lin H, Lu P, Zhang R, Liu S, Li Y, Yang S. Integrating a Multiple Isotopologue Reaction-Monitoring Technique and LC-MS/MS for Quantitation of Small Molecules: Ten Mycotoxins in Cereals as an Example. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:6638-6650. [PMID: 38482854 DOI: 10.1021/acs.jafc.3c08828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
Accurate quantification of mycotoxin in cereals is crucial for ensuring food safety and human health. However, the preparation of traditional multisample external calibration curves (MSCCs) is labor-intensive and error-prone. Here, a multiple isotopologue reaction-monitoring (MIRM)-LC-MS/MS method for accurate quantitation of ten major mycotoxins in cereals was successfully developed and validated, where a novel one-sample multipoint calibration curve (OSCC) strategy is used instead of MSCCs. The OSCC can be established by examining the correlation between the calculated theoretical isotopic abundances and the measured abundance across various MIRM channels. In comparison to the MSCC, the OSCC strategy exhibits outstanding performance including superior selectivity, accuracy (78.4-108.6%), and precision (<12.5%). Furthermore, the proposed OSCC-MIRM-LC-MS/MS method was successfully applied to investigate mycotoxin contamination in cereal samples in China. Considering the advantages of simplified workflows and improved throughput, the OSCC-MIRM-LC-MS/MS methodology holds great promise for accurately quantifying chemical contaminants in foods.
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Affiliation(s)
- Feifei Sun
- Animal-Derived Food Safety Innovation Team, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, People's Republic of China
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Yanshen Li
- College of Life Science, Yantai University, Yantai 264005, Shandong, People's Republic of China
| | - Haiguang Tan
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Peixu Wu
- Animal-Derived Food Safety Innovation Team, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, People's Republic of China
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Yingnan Shencheng
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Haopeng Lin
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Peng Lu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Rong Zhang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Shuyan Liu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Yi Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Shupeng Yang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
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Al-Saei ANJM, Nour-Eldine W, Rajpoot K, Arshad N, Al-Shammari AR, Kamal M, Akil AAS, Fakhro KA, Thornalley PJ, Rabbani N. Validation of plasma protein glycation and oxidation biomarkers for the diagnosis of autism. Mol Psychiatry 2024; 29:653-659. [PMID: 38135754 PMCID: PMC11153128 DOI: 10.1038/s41380-023-02357-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/22/2023] [Accepted: 11/27/2023] [Indexed: 12/24/2023]
Abstract
Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder in children. It is currently diagnosed by behaviour-based assessments made by observation and interview. In 2018 we reported a discovery study of a blood biomarker diagnostic test for ASD based on a combination of four plasma protein glycation and oxidation adducts. The test had 88% accuracy in children 5-12 years old. Herein, we present an international multicenter clinical validation study (N = 478) with application of similar biomarkers to a wider age range of 1.5-12 years old children. Three hundred and eleven children with ASD (247 male, 64 female; age 5.2 ± 3.0 years) and 167 children with typical development (94 male, 73 female; 4.9 ± 2.4 years) were recruited for this study at Sidra Medicine and Hamad Medical Corporation hospitals, Qatar, and Hospital Regional Universitario de Málaga, Spain. For subjects 5-12 years old, the diagnostic algorithm with features, advanced glycation endproducts (AGEs)-Nε-carboxymethyl-lysine (CML), Nω-carboxymethylarginine (CMA) and 3-deoxyglucosone-derived hydroimidazolone (3DG-H), and oxidative damage marker, o,o'-dityrosine (DT), age and gender had accuracy 83% (CI 79 - 89%), sensitivity 94% (CI 90-98%), specificity 67% (CI 57-76%) and area-under-the-curve of receiver operating characteristic plot (AUROC) 0.87 (CI 0.84-0.90). Inclusion of additional plasma protein glycation and oxidation adducts increased the specificity to 74%. An algorithm with 12 plasma protein glycation and oxidation adduct features was optimum for children of 1.5-12 years old: accuracy 74% (CI 70-79%), sensitivity 75% (CI 63-87%), specificity 74% (CI 58-90%) and AUROC 0.79 (CI 0.74-0.84). We conclude that ASD diagnosis may be supported using an algorithm with features of plasma protein CML, CMA, 3DG-H and DT in 5-12 years-old children, and an algorithm with additional features applicable for ASD screening in younger children. ASD severity, as assessed by ADOS-2 score, correlated positively with plasma protein glycation adducts derived from methylglyoxal, hydroimidazolone MG-H1 and Nε(1-carboxyethyl)lysine (CEL). The successful validation herein may indicate that the algorithm modifiable features are mechanistic risk markers linking ASD to increased lipid peroxidation, neuronal plasticity and proteotoxic stress.
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Affiliation(s)
| | - Wared Nour-Eldine
- Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, PO Box 34110, Doha, Qatar
| | - Kashif Rajpoot
- University of Birmingham Dubai, Dubai International Academic City, PO Box 341799, Dubai, UAE
| | - Noman Arshad
- BIOMISA Laboratory, Department of Computer & Software Engineering, National University of Science & Technology (NUST), Islamabad, Pakistan
| | - Abeer R Al-Shammari
- Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, PO Box 34110, Doha, Qatar
| | - Madeeha Kamal
- College of Medicine, QU Health, Qatar University, PO Box 2713, Doha, Qatar
- Department of Pediatrics, Sidra Medicine, P.O. Box 26999, Doha, Qatar
- Department of Genetic Medicine, Weill Cornell Medical College, Doha, P.O. Box 24144, Doha, Qatar
| | - Ammira Al-Shabeeb Akil
- Precision Medicine in Diabetes Prevention Laboratory, Population Genetics, Sidra Medicine, P.O. Box 26999, Doha, Qatar
| | - Khalid A Fakhro
- Department of Genetic Medicine, Weill Cornell Medical College, Doha, P.O. Box 24144, Doha, Qatar
- Precision Medicine in Diabetes Prevention Laboratory, Population Genetics, Sidra Medicine, P.O. Box 26999, Doha, Qatar
- Laboratory of Genomic Medicine-Precision Medicine Program, Sidra Medicine, P.O. Box 26999, Doha, Qatar
| | - Paul J Thornalley
- Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, PO Box 34110, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, P.O. Box 34110, Doha, Qatar
| | - Naila Rabbani
- College of Medicine, QU Health, Qatar University, PO Box 2713, Doha, Qatar.
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Kale R, Chaturvedi D, Dandekar P, Jain R. Analytical techniques for screening of cannabis and derivatives from human hair specimens. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:1133-1149. [PMID: 38314866 DOI: 10.1039/d3ay00786c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Cannabis and associated substances are some of the most frequently abused drugs across the globe, mainly due to their anxiolytic and euphorigenic properties. Nowadays, the analysis of hair samples has been given high importance in forensic and analytical sciences and in clinical studies because they are associated with a low risk of infection, do not require complicated storage conditions, and offer a broad window of non-invasive detection. Analysis of hair samples is very easy compared to the analysis of blood, urine, and saliva samples. This review places particular emphasis on methodologies of analyzing hair samples containing cannabis, with a special focus on the preparation of samples for analysis, which involves screening and extraction techniques, followed by confirmatory assays. Through this manuscript, we have presented an overview of the available literature on the screening of cannabis using mass spectroscopy techniques. We have presented a detailed overview of the advantages and disadvantages of this technique, to establish it as a suitable method for the analysis of cannabis from hair samples.
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Affiliation(s)
- Rohit Kale
- Department of Biological Sciences and Biotechnology, Institute of Chemical Technology, Mumbai 400019, India.
| | - Deepa Chaturvedi
- Department of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Mumbai 400019, India.
| | - Prajakta Dandekar
- Department of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Mumbai 400019, India.
| | - Ratnesh Jain
- Department of Biological Sciences and Biotechnology, Institute of Chemical Technology, Mumbai 400019, India.
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Jia W, Guo A, Bian W, Zhang R, Wang X, Shi L. Integrative deep learning framework predicts lipidomics-based investigation of preservatives on meat nutritional biomarkers and metabolic pathways. Crit Rev Food Sci Nutr 2023:1-15. [PMID: 38127336 DOI: 10.1080/10408398.2023.2295016] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Preservatives are added as antimicrobial agents to extend the shelf life of meat. Adding preservatives to meat products can affect their flavor and nutrition. This review clarifies the effects of preservatives on metabolic pathways and network molecular transformations in meat products based on lipidomics, metabolomics and proteomics analyses. Preservatives change the nutrient content of meat products via altering ionic strength and pH to influence enzyme activity. Ionic strength in salt triggers muscle triglyceride hydrolysis by causing phosphorylation and lipid droplet splitting in adipose tissue hormone-sensitive lipase and triglyceride lipase. DisoLipPred exploiting deep recurrent networks and transfer learning can predict the lipid binding trend of each amino acid in the disordered region of input protein sequences, which could provide omics analyses of biomarkers metabolic pathways in meat products. While conventional meat quality assessment tools are unable to elucidate the intrinsic mechanisms and pathways of variables in the influences of preservatives on the quality of meat products, the promising application of omics techniques in food analysis and discovery through multimodal learning prediction algorithms of neural networks (e.g., deep neural network, convolutional neural network, artificial neural network) will drive the meat industry to develop new strategies for food spoilage prevention and control.
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Affiliation(s)
- Wei Jia
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
- Agricultural Product Processing and Inspection Center, Shaanxi Testing Institute of Product Quality Supervision, Xi'an, Shaanxi, China
- Agricultural Product Quality Research Center, Shaanxi Research Institute of Agricultural Products Processing Technology, Xi'an, China
- Food Safety Testing Center, Shaanxi Sky Pet Biotechnology Co., Ltd, Xi'an, China
| | - Aiai Guo
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Wenwen Bian
- Agricultural Product Processing and Inspection Center, Shaanxi Testing Institute of Product Quality Supervision, Xi'an, Shaanxi, China
| | - Rong Zhang
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Xin Wang
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Lin Shi
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
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Visconti G, de Figueiredo M, Strassel O, Boccard J, Vuilleumier N, Jaques D, Ponte B, Rudaz S. Multitargeted Internal Calibration for the Quantification of Chronic Kidney Disease-Related Endogenous Metabolites Using Liquid Chromatography-Mass Spectrometry. Anal Chem 2023; 95:13546-13554. [PMID: 37655548 PMCID: PMC10500547 DOI: 10.1021/acs.analchem.3c02069] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 08/16/2023] [Indexed: 09/02/2023]
Abstract
Accurate quantitative analysis in liquid chromatography-mass spectrometry (LC-MS) benefits from calibration curves generated in the same matrix as the study sample. In the case of endogenous compound quantification, as no blank matrix exists, the multitargeted internal calibration (MTIC) is an attractive and straightforward approach to avoid the need for extensive matrix similarity evaluation. Its principle is to take advantage of stable isotope labeled (SIL) standards as internal calibrants to simultaneously quantify authentic analytes using a within sample calibration. An MTIC workflow was developed for the simultaneous quantification of metabolites related to chronic kidney disease (CKD) using a volumetric microsampling device to collect 20 μL of serum or plasma, followed by a single-step extraction with acetonitrile/water and liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. Since a single concentration of internal calibrant is necessary to calculate the study sample concentration, the instrument response function was investigated to determine the best SIL concentration. After validation, the trueness of 16 endogenous analytes in authentic human serum ranged from 72.2 to 116.0%, the repeatability from 1.9 to 11.3%, and the intermediate precision ranged overall from 2.1 to 15.4%. The proposed approach was applied to plasma samples collected from healthy control participants and two patient groups diagnosed with CKD. Results confirmed substantial concentration differences between groups for several analytes, including indoxyl sulfate and cortisone, as well as metabolite enrichment in the kynurenine and indole pathways. Multitargeted methodologies represent a major step toward rapid and straightforward LC-MS/MS absolute quantification of endogenous biomarkers, which could change the paradigm of MS use in clinical laboratories.
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Affiliation(s)
- Gioele Visconti
- School
of Pharmaceutical Sciences, University of
Geneva, CMU −
Rue Michel-Servet 1, 1211 Geneva 4, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU − Rue Michel-Servet 1, 1211 Geneva 4, Switzerland
| | - Miguel de Figueiredo
- School
of Pharmaceutical Sciences, University of
Geneva, CMU −
Rue Michel-Servet 1, 1211 Geneva 4, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU − Rue Michel-Servet 1, 1211 Geneva 4, Switzerland
| | - Oriane Strassel
- School
of Pharmaceutical Sciences, University of
Geneva, CMU −
Rue Michel-Servet 1, 1211 Geneva 4, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU − Rue Michel-Servet 1, 1211 Geneva 4, Switzerland
| | - Julien Boccard
- School
of Pharmaceutical Sciences, University of
Geneva, CMU −
Rue Michel-Servet 1, 1211 Geneva 4, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU − Rue Michel-Servet 1, 1211 Geneva 4, Switzerland
| | - Nicolas Vuilleumier
- Department
of Genetic and Laboratory Medicine, Geneva
University Hospitals (HUG), Rue Gabrielle-Perret-Gentil 4, 1205 Geneva, Switzerland
| | - David Jaques
- Service
of Nephrology, Geneva University Hospitals
(HUG), Rue Gabrielle-Perret-Gentil 4, 1205 Geneva, Switzerland
| | - Belén Ponte
- Service
of Nephrology, Geneva University Hospitals
(HUG), Rue Gabrielle-Perret-Gentil 4, 1205 Geneva, Switzerland
| | - Serge Rudaz
- School
of Pharmaceutical Sciences, University of
Geneva, CMU −
Rue Michel-Servet 1, 1211 Geneva 4, Switzerland
- Institute
of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU − Rue Michel-Servet 1, 1211 Geneva 4, Switzerland
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14
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Visconti G, de Figueiredo M, Salamin O, Boccard J, Vuilleumier N, Nicoli R, Kuuranne T, Rudaz S. Straightforward quantification of endogenous steroids with liquid chromatography-tandem mass spectrometry: Comparing calibration approaches. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1226:123778. [PMID: 37393882 DOI: 10.1016/j.jchromb.2023.123778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/23/2023] [Accepted: 05/31/2023] [Indexed: 07/04/2023]
Abstract
Different calibration strategies are used in liquid chromatography hyphenated to mass spectrometry (LC-MS) bioanalysis. Currently, the surrogate matrix and surrogate analyte represent the most widely used approaches to compensate for the lack of analyte-free matrices in endogenous compounds quantification. In this context, there is a growing interest in rationalizing and simplifying quantitative analysis using a one-point concentration level of stable isotope-labeled (SIL) standards as surrogate calibrants. Accordingly, an internal calibration (IC) can be applied when the instrument response is translated into analyte concentration via the analyte-to-SIL ratio performed directly in the study sample. Since SILs are generally used as internal standards to normalize variability between authentic study sample matrix and surrogate matrix used for the calibration, IC can be calculated even if the calibration protocol was achieved for an external calibration (EC). In this study, a complete dataset of a published and fully validated method to quantify an extended steroid profile in serum was recomputed by adapting the role of SIL internal standards as surrogate calibrants. Using the validation samples, the quantitative performances for IC were comparable with the original method, showing acceptable trueness (79%-115%) and precision (0.8%-11.8%) for the 21 detected steroids. The IC methodology was then applied to human serum samples (n = 51) from healthy women and women diagnosed with mild hyperandrogenism, showing high agreement (R2 > 0.98) with the concentrations obtained using the conventional quantification based on EC. For IC, Passing-Bablok regression showed proportional biases between -15.0% and 11.3% for all quantified steroids, with an average difference of -5.8% compared to EC. These results highlight the reliability and the advantages of implementing IC in clinical laboratories routine to simplify quantification in LC-MS bioanalysis, especially when a large panel of analytes is monitored.
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Affiliation(s)
- Gioele Visconti
- School of Pharmaceutical Sciences, University of Geneva, CMU - Rue Michel-Servet 1, Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU - Rue Michel-Servet 1, Geneva, Switzerland
| | - Miguel de Figueiredo
- School of Pharmaceutical Sciences, University of Geneva, CMU - Rue Michel-Servet 1, Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU - Rue Michel-Servet 1, Geneva, Switzerland
| | - Olivier Salamin
- Center of Research and Expertise in Anti-Doping Sciences - REDs, Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland; Swiss Laboratory for Doping Analyses, University Center of Legal Medicine, Lausanne and Geneva, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Julien Boccard
- School of Pharmaceutical Sciences, University of Geneva, CMU - Rue Michel-Servet 1, Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU - Rue Michel-Servet 1, Geneva, Switzerland; Swiss Centre for Applied Human Toxicology (SCAHT), Basel, Switzerland
| | - Nicolas Vuilleumier
- Department of Genetic and Laboratory Medicine, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - Raul Nicoli
- Swiss Laboratory for Doping Analyses, University Center of Legal Medicine, Lausanne and Geneva, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Tiia Kuuranne
- Swiss Laboratory for Doping Analyses, University Center of Legal Medicine, Lausanne and Geneva, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Serge Rudaz
- School of Pharmaceutical Sciences, University of Geneva, CMU - Rue Michel-Servet 1, Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU - Rue Michel-Servet 1, Geneva, Switzerland; Swiss Centre for Applied Human Toxicology (SCAHT), Basel, Switzerland.
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15
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Tarakhovskaya E, Marcillo A, Davis C, Milkovska-Stamenova S, Hutschenreuther A, Birkemeyer C. Matrix Effects in GC–MS Profiling of Common Metabolites after Trimethylsilyl Derivatization. Molecules 2023; 28:molecules28062653. [PMID: 36985624 PMCID: PMC10053008 DOI: 10.3390/molecules28062653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/02/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Metabolite profiling using gas chromatography coupled to mass spectrometry (GC–MS) is one of the most frequently applied and standardized methods in research projects using metabolomics to analyze complex samples. However, more than 20 years after the introduction of non-targeted approaches using GC–MS, there are still unsolved challenges to accurate quantification in such investigations. One particularly difficult aspect in this respect is the occurrence of sample-dependent matrix effects. In this project, we used model compound mixtures of different compositions to simplify the study of the complex interactions between common constituents of biological samples in more detail and subjected those to a frequently applied derivatization protocol for GC–MS analysis, namely trimethylsilylation. We found matrix effects as signal suppression and enhancement of carbohydrates and organic acids not to exceed a factor of ~2, while amino acids can be more affected. Our results suggest that the main reason for our observations may be an incomplete transfer of carbohydrate and organic acid derivatives during the injection process and compound interaction at the start of the separation process. The observed effects were reduced at higher target compound concentrations and by using a more suitable injection-liner geometry.
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Affiliation(s)
- Elena Tarakhovskaya
- Department of Plant Physiology and Biochemistry, Faculty of Biology, St. Petersburg State University, 199034 St. Petersburg, Russia
- Vavilov Institute of General Genetics RAS, St. Petersburg Branch, 199034 St. Petersburg, Russia
| | - Andrea Marcillo
- Mass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany
- Institute of Energy and Climate Research (IEK-8), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany
| | - Caroline Davis
- Mass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany
- Waters GmbH, 1130 Vienna, Austria
| | - Sanja Milkovska-Stamenova
- Bioanalytics Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany
- AP Diagnostics GmbH, 04103 Leipzig, Germany
| | - Antje Hutschenreuther
- Mass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany
| | - Claudia Birkemeyer
- Mass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany
- German Center for Integrative Biodiversity Research (iDiv) Halle-Leipzig-Jena, 04103 Leipzig, Germany
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