1
|
Coskun A, Ertaylan G, Pusparum M, Van Hoof R, Kaya ZZ, Khosravi A, Zarrabi A. Advancing personalized medicine: Integrating statistical algorithms with omics and nano-omics for enhanced diagnostic accuracy and treatment efficacy. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167339. [PMID: 38986819 DOI: 10.1016/j.bbadis.2024.167339] [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: 04/04/2024] [Revised: 06/25/2024] [Accepted: 07/03/2024] [Indexed: 07/12/2024]
Abstract
Medical laboratory services enable precise measurement of thousands of biomolecules and have become an inseparable part of high-quality healthcare services, exerting a profound influence on global health outcomes. The integration of omics technologies into laboratory medicine has transformed healthcare, enabling personalized treatments and interventions based on individuals' distinct genetic and metabolic profiles. Interpreting laboratory data relies on reliable reference values. Presently, population-derived references are used for individuals, risking misinterpretation due to population heterogeneity, and leading to medical errors. Thus, personalized references are crucial for precise interpretation of individual laboratory results, and the interpretation of omics data should be based on individualized reference values. We reviewed recent advancements in personalized laboratory medicine, focusing on personalized omics, and discussed strategies for implementing personalized statistical approaches in omics technologies to improve global health and concluded that personalized statistical algorithms for interpretation of omics data have great potential to enhance global health. Finally, we demonstrated that the convergence of nanotechnology and omics sciences is transforming personalized laboratory medicine by providing unparalleled diagnostic precision and innovative therapeutic strategies.
Collapse
Affiliation(s)
- Abdurrahman Coskun
- Acibadem University, School of Medicine, Department of Medical Biochemistry, Istanbul, Turkey.
| | - Gökhan Ertaylan
- Unit Health, Environmental Intelligence, Flemish Institute for Technological Research (VITO), Mol 2400, Belgium
| | - Murih Pusparum
- Unit Health, Environmental Intelligence, Flemish Institute for Technological Research (VITO), Mol 2400, Belgium; I-Biostat, Data Science Institute, Hasselt University, Hasselt 3500, Belgium
| | - Rebekka Van Hoof
- Unit Health, Environmental Intelligence, Flemish Institute for Technological Research (VITO), Mol 2400, Belgium
| | - Zelal Zuhal Kaya
- Nisantasi University, School of Medicine, Department of Medical Biochemistry, Istanbul, Turkey
| | - Arezoo Khosravi
- Department of Genetics and Bioengineering, Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul 34959, Turkey
| | - Ali Zarrabi
- Department of Biomedical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul 34396, Turkey; Graduate School of Biotehnology and Bioengeneering, Yuan Ze University, Taoyuan 320315, Taiwan; Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600 077, India
| |
Collapse
|
2
|
Perier C, Nasinghe E, Charles I, Ssetaba LJ, Ahyong V, Bangs D, Beatty PR, Czudnochowski N, Diallo A, Dugan E, Fabius JM, Fong Baker H, Gardner J, Isaacs S, Joanah B, Kalantar K, Kateete D, Knight M, Krasilnikov M, Krogan NJ, Langelier C, Lee E, Li LM, Licht D, Lien K, Lyons Z, Mboowa G, Mwebaza I, Mwesigwa S, Nalwadda G, Nichols R, Penaranda ME, Petnic S, Phelps M, Popper SJ, Rape M, Reingold A, Robbins R, Rosenberg OS, Savage DF, Schildhauer S, Settles ML, Sserwadda I, Stanley S, Tato CM, Tsitsiklis A, Van Dis E, Vanaerschot M, Vinden J, Cox JS, Joloba ML, Schaletzky J. Workshop-based learning and networking: a scalable model for research capacity strengthening in low- and middle-income countries. Glob Health Action 2022; 15:2062175. [PMID: 35730550 PMCID: PMC9225690 DOI: 10.1080/16549716.2022.2062175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Science education and research have the potential to drive profound change in low- and middle-income countries (LMICs) through encouraging innovation, attracting industry, and creating job opportunities. However, in LMICs, research capacity is often limited, and acquisition of funding and access to state-of-the-art technologies is challenging. The Alliance for Global Health and Science (the Alliance) was founded as a partnership between the University of California, Berkeley (USA) and Makerere University (Uganda), with the goal of strengthening Makerere University’s capacity for bioscience research. The flagship program of the Alliance partnership is the MU/UCB Biosciences Training Program, an in-country, hands-on workshop model that trains a large number of students from Makerere University in infectious disease and molecular biology research. This approach nucleates training of larger and more diverse groups of students, development of mentoring and bi-directional research partnerships, and support of the local economy. Here, we describe the project, its conception, implementation, challenges, and outcomes of bioscience research workshops. We aim to provide a blueprint for workshop implementation, and create a valuable resource for bioscience research capacity strengthening in LMICs.
Collapse
Affiliation(s)
- Celine Perier
- H. Wheeler Center for Emerging & Neglected Diseases (CEND), University of California, Berkeley, CA, USA
| | | | - Isabelle Charles
- H. Wheeler Center for Emerging & Neglected Diseases (CEND), University of California, Berkeley, CA, USA
| | | | - Vida Ahyong
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Derek Bangs
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - P Robert Beatty
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | | | - Amy Diallo
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Eli Dugan
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - Jacqueline M Fabius
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
| | - Hildy Fong Baker
- School of Public Health, Center for Global Public Health (CGPH), University of California, Berkeley, CA, USA
| | - Jackson Gardner
- Department of Medicine, University of California, San Francisco, CA, USA
| | | | - Birungi Joanah
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | | | - David Kateete
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | - Matt Knight
- Department of Plant and Microbial Biology, University of California, Berkeley, CA, USA
| | - Maria Krasilnikov
- Department of Molecular Biology and Microbiology, Tufts Graduate School of Biomedical Sciences, Boston, MA, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA.,Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
| | | | - Eric Lee
- Graduate Group in Infectious Diseases and Immunity, School of Public Health, University of California, Berkeley, CA, USA
| | - Lucy M Li
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Daniel Licht
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - Katie Lien
- Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Zilose Lyons
- California China Climate Institute, University of California, Berkeley, CA, USA
| | - Gerald Mboowa
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | - Ivan Mwebaza
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | | | | | - Robert Nichols
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | | | - Sarah Petnic
- Quality and Clinical Excellence Department, Providence Queen of the Valley Medical Center, Napa, CA, USA
| | | | - Stephen J Popper
- Sustainable Sciences Institute, San Francisco, CA, USA.,School of Public Health, Department of Infectious Disease and Vaccinology, University of California, Berkeley, CA, USA
| | - Michael Rape
- Howard Hughes Medical Institute, University of California, Berkeley, CA, USA
| | - Arthur Reingold
- Division of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, CA, USA
| | | | - Oren S Rosenberg
- Department of Medicine, University of California, San Francisco, CA, USA
| | - David F Savage
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | | | | | - Ivan Sserwadda
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | - Sarah Stanley
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA.,Division of Infectious Disease and Vaccinology, School of Public Health, University of California, Berkeley, CA, USA
| | | | | | - Erik Van Dis
- Department of Immunology, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Joanna Vinden
- Division of Infectious Diseases and Immunity, School of Public Health, University of California, Berkeley, CA, USA
| | - Jeffery S Cox
- H. Wheeler Center for Emerging & Neglected Diseases (CEND), University of California, Berkeley, CA, USA.,Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - Moses L Joloba
- School of Biomedical Sciences, Makerere University, Kampala, Uganda
| | - Julia Schaletzky
- H. Wheeler Center for Emerging & Neglected Diseases (CEND), University of California, Berkeley, CA, USA
| |
Collapse
|
3
|
Begg S, Wright A, Small G, Kirby M, Moore S, Koudou B, Kisinza W, Abdoulaye D, Moore J, Malima R, Kija P, Mosha F, Edi C, Bates I. Multi-site comparison of factors influencing progress of African insecticide testing facilities towards an international Quality Management System certification. PLoS One 2021; 16:e0259849. [PMID: 34780512 PMCID: PMC8592480 DOI: 10.1371/journal.pone.0259849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 10/27/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Insecticidal mosquito vector control products are vital components of malaria control programmes. Test facilities are key in assessing the effectiveness of vector control products against local mosquito populations, in environments where they will be used. Data from these test facilities must be of a high quality to be accepted by regulatory authorities, including the WHO Prequalification Team for vector control products. In 2013-4, seven insecticide testing facilities across sub-Saharan Africa, with technical and financial support from Innovative Vector Control Consortium (IVCC), began development and implementation of quality management system compliant with the principles of Good Laboratory Practice (GLP) to improve data quality and reliability. METHODS AND PRINCIPLE FINDINGS We conducted semi-structured interviews, emails, and video-call interviews with individuals at five test facilities engaged in the IVCC-supported programme and working towards or having achieved GLP. We used framework analysis to identify and describe factors affeting progress towards GLP. We found that eight factors were instrumental in progress, and that test facilities had varying levels of control over these factors. They had high control over the training programme, project planning, and senior leadership support; medium control over infrastructure development, staff structure, and procurement; and low control over funding the availability and accessibility of relevant expertise. Collaboration with IVCC and other partners was key to overcoming the challenges associated with low and medium control factors. CONCLUSION For partnership and consortia models of research capacity strengthening, test facilities can use their own internal resources to address identified high-control factors. Project plans should allow additional time for interaction with external agencies to address medium-control factors, and partners with access to expertise and funding should concentrate their efforts on supporting institutions to address low-control factors. In practice, this includes planning for financial sustainability at the outset, and acting to strengthen national and regional training capacity.
Collapse
Affiliation(s)
- Sara Begg
- Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
| | - Alex Wright
- London School of Hygiene and Tropical Medicine, Keppel St, Bloomsbury, London, United Kingdom
| | - Graham Small
- Innovative Vector Control Consortium, Pembroke Place, Liverpool, United Kingdom
| | - Matt Kirby
- London School of Hygiene and Tropical Medicine, Keppel St, Bloomsbury, London, United Kingdom
- KCMUCo-PAMVERC, KCMUCo-PAMVERC Test Facility, Moshi, Tanzania
| | - Sarah Moore
- Ifakara Health Institute, Off Mlabani Passage, Ifakara, Tanzania
| | - Ben Koudou
- Centre Suisse de Recherches Scientifques en Côte D’Ivoire, Route de Dabou, Abidjan, Côte d’Ivoire
| | - William Kisinza
- National Institute of Medical Research, Amani Centre, Amani Medical Research Centre, Muheza, Tanzania
| | - Diabate Abdoulaye
- Institut de Recherche en Sciences de la Santé, Bobo-Dioulasso, Bobo-Dioulasso, Burkina Faso, Côte d’Ivoire
| | - Jason Moore
- Ifakara Health Institute, Off Mlabani Passage, Ifakara, Tanzania
| | - Robert Malima
- National Institute of Medical Research, Amani Centre, Amani Medical Research Centre, Muheza, Tanzania
| | - Patrick Kija
- National Institute of Medical Research, Amani Centre, Amani Medical Research Centre, Muheza, Tanzania
| | - Frank Mosha
- KCMUCo-PAMVERC, KCMUCo-PAMVERC Test Facility, Moshi, Tanzania
| | - Constant Edi
- Centre Suisse de Recherches Scientifques en Côte D’Ivoire, Route de Dabou, Abidjan, Côte d’Ivoire
| | - Imelda Bates
- Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
| |
Collapse
|
4
|
Zhu GN, Huang Q, Ding Y, Pi JK, Zhan L, Wu SS. Establishing Standardized Biomedical Laboratory Technician Education for the Development of Biotechnology Research in China. ACTA ACUST UNITED AC 2021; 35:179-185. [PMID: 32684238 DOI: 10.24920/003664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Chinese scientists have been actively engaged in biotechnology research since the mid-20th century. However, biotechnology education, especially biomedical laboratory technology education, is relatively scarce in China. More and more cutting-edge equipment and techniques have been introduced into biomedical laboratories in China, but there is a lack of high-quality technicians to apply these advancements to scientific research. In addition, the traditional education and apprenticeship systems have been demonstrated little progress. To address this gap, West China Hospital of Sichuan University established a 2-year educational program for laboratory technology in 2006 based on the residency training program. The project integrates scientific methods into the research laboratory technician training in relevant disciplines, and has developed a systematic, scientific, and effective standardized training system to cultivate high-level and stable experimental technician team for the need of advanced laboratories, which has been demonstrated greatly improve the efficiency of biomedical researchers and laboratory facilities. In this article, we introduce the practical experience in establishment and development of a standardized training system for biomedical laboratory technicians to ensure the sustainable development of medical researches.
Collapse
Affiliation(s)
- Guo Nian Zhu
- Research Core Facility, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Qiang Huang
- Administration of Research Park, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yu Ding
- Research Core Facility, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jin Kui Pi
- Research Core Facility, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Lan Zhan
- Administration of Research Park, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Si Si Wu
- Research Core Facility, West China Hospital, Sichuan University, Chengdu 610041, China
| |
Collapse
|
5
|
Begg S, Wright A, Small G, Abdoulaye D, Kisinza W, Koudou B, Moore S, Mosha F, Edi C, Kirby M, Kija P, Malima R, Moore J, Bates I. Ripple effects of research capacity strengthening: a study of the effects of a project to support test facilities in three African countries towards Good Laboratory Practice certification. Gates Open Res 2021; 4:175. [PMID: 34124586 PMCID: PMC8167331 DOI: 10.12688/gatesopenres.13190.2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2021] [Indexed: 11/20/2022] Open
Abstract
Background: Strengthening capacity for public health research is essential to the generation of high-quality, reliable scientific data. This study focuses on a research capacity strengthening project supporting seven test facilities in Africa conducting studies on mosquito vector control products towards Good Laboratory Practice (GLP) certification. It captures the primary effects of the project on each facility's research capacity, the secondary effects at the individual and institutional level, and the ripple effects that extend beyond the research system. The relationships between effects at different levels are identified and compared to an existing framework for the evaluation of research capacity strengthening initiatives. Methods: To capture the views of individuals engaged in the project at all levels within each facility, a maximum-variation purposive sampling strategy was used. This allowed triangulation between different data sources. Semi-structured interviews were conducted with individuals in three facilities and a combination of email and remote video-call interviews were conducted with individuals at two further facilities. Results: We found that, despite a focus of the GLP certification project at the institutional level, the project had effects also at individual (including enhanced motivation, furtherment of careers) and national/international levels (including development of regional expertise). In addition, we detected ripple effects of the project which extended beyond the research system. Conclusion: This study shows that research capacity strengthening interventions that are focussed on institutional level goals require actions also at individual and national/international levels. The effects of engagement at all three levels can be amplified by collaborative actions at the national/international level. These findings show that research capacity strengthening projects must develop plans that address and evaluate impact at all three levels. Capturing the ripple effects of investment in research capacity strengthening should also be planned for from the beginning of projects to support further engagement of all stakeholders.
Collapse
Affiliation(s)
- Sara Begg
- Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| | - Alexandra Wright
- London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Graham Small
- Innovative Vector Control Consortium, Liverpool, L3 5QA, UK
| | - Diabate Abdoulaye
- Institut de Recherche en Sciences de la Santé, Bobo-Dioulasso, Burkina Faso
| | - William Kisinza
- National Institute of Medical Research, Amani Centre, Muheza, Tanzania
| | - Benjamin Koudou
- Centre Suisse de Recherches Scientifques en Côte D’Ivoire, Abidjan, Cote d'Ivoire
| | | | | | - Constant Edi
- Centre Suisse de Recherches Scientifques en Côte D’Ivoire, Abidjan, Cote d'Ivoire
| | - Matthew Kirby
- London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
- KCMUCo-PAMVERC, Moshi, Tanzania
| | - Patrick Kija
- National Institute of Medical Research, Amani Centre, Muheza, Tanzania
| | - Robert Malima
- National Institute of Medical Research, Amani Centre, Muheza, Tanzania
| | | | - Imelda Bates
- Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| |
Collapse
|
6
|
Begg S, Wright A, Small G, Abdoulaye D, Kisinza W, Koudou B, Moore S, Mosha F, Edi C, Kirby M, Kija P, Malima R, Moore J, Bates I. Ripple effects of research capacity strengthening: a study of the effects of a project to support test facilities in three African countries towards Good Laboratory Practice certification. Gates Open Res 2020; 4:175. [PMID: 34124586 PMCID: PMC8167331 DOI: 10.12688/gatesopenres.13190.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/19/2020] [Indexed: 11/20/2022] Open
Abstract
Background: Strengthening capacity for public health research is essential to the generation of high-quality, reliable scientific data. This study focuses on a research capacity strengthening project supporting seven test facilities in Africa conducting studies on mosquito vector control products towards Good Laboratory Practice (GLP) certification. It captures the primary effects of the project on each facility's research capacity, the secondary effects at the individual and institutional level, and the ripple effects that extend beyond the research system. The relationships between effects at different levels are identified and compared to an existing framework for the evaluation of research capacity strengthening initiatives. Methods: To capture the views of individuals engaged in the project at all levels within each facility, a maximum-variation purposive sampling strategy was used. This allowed triangulation between different data sources. Semi-structured interviews were conducted with individuals in three facilities and a combination of email and remote video-call interviews were conducted with individuals at two further facilities. Results: We found that, despite a focus of the GLP certification project at the institutional level, the project had effects also at individual (including enhanced motivation, furtherment of careers) and national/international levels (including development of regional expertise). In addition, we detected ripple effects of the project which extended beyond the research system. Conclusion: This study shows that research capacity strengthening interventions that are focussed on institutional level goals require actions also at individual and national/international levels. The effects of engagement at all three levels can be amplified by collaborative actions at the national/international level. These findings show that research capacity strengthening projects must develop plans that address and evaluate impact at all three levels. Capturing the ripple effects of investment in research capacity strengthening should also be planned for from the beginning of projects to support further engagement of all stakeholders.
Collapse
Affiliation(s)
- Sara Begg
- Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| | - Alexandra Wright
- London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
| | - Graham Small
- Innovative Vector Control Consortium, Liverpool, L3 5QA, UK
| | - Diabate Abdoulaye
- Institut de Recherche en Sciences de la Santé, Bobo-Dioulasso, Burkina Faso
| | - William Kisinza
- National Institute of Medical Research, Amani Centre, Muheza, Tanzania
| | - Benjamin Koudou
- Centre Suisse de Recherches Scientifques en Côte D’Ivoire, Abidjan, Cote d'Ivoire
| | | | | | - Constant Edi
- Centre Suisse de Recherches Scientifques en Côte D’Ivoire, Abidjan, Cote d'Ivoire
| | - Matthew Kirby
- London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
- KCMUCo-PAMVERC, Moshi, Tanzania
| | - Patrick Kija
- National Institute of Medical Research, Amani Centre, Muheza, Tanzania
| | - Robert Malima
- National Institute of Medical Research, Amani Centre, Muheza, Tanzania
| | | | - Imelda Bates
- Liverpool School of Tropical Medicine, Liverpool, L3 5QA, UK
| |
Collapse
|
7
|
Kumari S, Bahinipati J, Pradhan T, Sahoo DP. Comparison of test performance of biochemical parameters in semiautomatic method and fully automatic analyzer method. J Family Med Prim Care 2020; 9:3994-4000. [PMID: 33110800 PMCID: PMC7586617 DOI: 10.4103/jfmpc.jfmpc_94_20] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 03/12/2020] [Accepted: 04/10/2020] [Indexed: 12/21/2022] Open
Abstract
Background The primary health-care center (PHC) and community health center (CHC) are not well equipped with laboratory services. Semiauto analyzer-based reporting could be an effective modality, provided that the performance standard is comparable to that of the fully automatic analyzer. So, the objective of this study was to analyze the test results of biochemical parameters in semiauto and fully automatic analyzer and to compare the quality performance. Materials and Methods One hundred forty-nine patients undergoing routine biochemical investigations in the department laboratory were enrolled in this study. Two millimeter of venous blood was collected from all the participants and processed for urea, cholesterol, triglyceride (TG), serum glutamate-oxaloacetate transaminase (SGOT) (aspartate aminotransferase), and serum glutamate-pyruvate transaminase (SGPT) (alanine aminotransferase) by using standard kits (ERBA) in semiauto analyzer (Transasia Erba Chem5X by Calbiotech Inc. USA, semiautomated clinical chemistry analyzer) and the fully automatic analyzer (Cobas Integra 400 Roche, Germany) method. Results There was high variability in the distribution of urea, TG, SGOT, and SGPT values in both measurement methods, whereas cholesterol data followed a normal distribution (skewness: 1.522, 1.037; kurtosis: 2.373, 0.693 in semiauto and automated methods, respectively). A significant positive correlation between both the methods of assessment was observed in urea, cholesterol, TGs, SGOT, and SGPT. The mean difference for urea was -9.85 ± 23.997 (LOA: 37.189, -56.88), whereas it was highest for TG -24.34 ± 38.513 (LOA: 51.144, -99.829), suggesting that both methods can measure urea with less difference in absolute values, whereas for TG the measurement values are highly variable. Conclusion The test performance of biochemical parameters such as urea, total cholesterol, TGs, SGOT, and SGPT taken by semiauto analyzer and fully automatic analyzer method of assessment were highly related and comparable.
Collapse
Affiliation(s)
- Suchitra Kumari
- Department of Biochemistry, All India Institute of Medical Sciences (AIIMS), Bhubaneswar, Odisha, India
| | - Jyotirmayee Bahinipati
- Department of Biochemistry, Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar, Odisha, India
| | - Tapaswini Pradhan
- Department of Biochemistry, Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar, Odisha, India
| | - Durgesh P Sahoo
- Department of CMFM, All India Institute of Medical Sciences (AIIMS), Bhubaneswar, Odisha, India
| |
Collapse
|