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Batra R, Blandford E, Kulasegaran-Shylini R, Futschik ME, Bown A, Catton M, Conti-Frith H, Alexandridou A, Gill R, Milroy C, Harper S, Gettings H, Noronha M, Harrison HL, Douthwaite S, Nebbia G, Klapper PE, Tunkel S, Vipond R, Hopkins S, Fowler T. Multiplex lateral flow test sensitivity and specificity in detecting influenza A, B and SARS-CoV-2 in adult patients in a UK emergency department. Emerg Med J 2025:emermed-2024-214177. [PMID: 39814453 DOI: 10.1136/emermed-2024-214177] [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: 04/25/2024] [Accepted: 11/07/2024] [Indexed: 01/18/2025]
Abstract
BACKGROUND Rapid identification of individuals with acute respiratory infections is crucial for preventing nosocomial infections. For rapid diagnosis, especially in EDs, lateral flow devices (LFDs) are a convenient, inexpensive option with a rapid turnaround. Several 'multiplex' LFDs (M-LFDs) now exist, testing for multiple pathogens from a single swab sample. We evaluated the real-world performance of M-LFD versus PCR testing in detecting influenza A, B and SARS-CoV-2) in the ED setting. METHODS After preliminary evaluation of an M-LFD (SureScreen) with laboratory-grown virus and PCR-negative clinical samples, it was evaluated in a real-world setting at the ED of St Thomas' Hospital (London, UK) from 1 December 2022 to 21 April 2023. Eligible participants were ≥18 years of age, admitted with respiratory symptoms and received concurrent M-LFD and PCR tests. Main endpoints were sensitivity to detect influenza A/B (primary) and SARS-CoV-2 (secondary) versus PCR. The probability of a true positive in relation to viral concentration (expressed as PCR cycle threshold (Ct)) was analysed using logistic regression. RESULTS In total, 808 symptomatic participants were included (49.8% female; mean age 46.9 years). Test sensitivity (95% CI) was 67.0% (56.9% to 76.1%) for influenza A (n=100), 94.1% (71.3% to 99.9%) for influenza B (n=17) and 48.2% (39.7% to 56.8%) for SARS-CoV-2 (n=141). Sensitivity for SARS-CoV-2 was significantly lower than that for influenza A and B (p=0.0057 and p=0.00088, respectively). The probability of a true positive was 98% for Ct<25 for influenza A and SARS-CoV-2 (influenza B non-evaluable). No co-infections were identified by PCR or M-LFD. CONCLUSION The real-world performance of SureScreen M-LFD was consistent with laboratory evaluation and achieved a high sensitivity for individuals with high viral concentration, most likely to be infectious. Given the representative UK population sample, results could be generalised for use in other settings.
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Affiliation(s)
- Rahul Batra
- Department of Infectious Diseases, St Thomas' Hospital, London, UK
| | | | | | - Matthias E Futschik
- UK Health Security Agency, London, UK
- School of Biomedical Sciences, University of Plymouth, Faculty of Health, Plymouth, Devon, UK
| | - Abbie Bown
- UK Health Security Agency Porton, Salisbury, UK
| | | | | | | | | | | | | | - Holly Gettings
- Emergency Department, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Maryann Noronha
- Emergency Department, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Hooi-Ling Harrison
- Emergency Department, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Sam Douthwaite
- Department of Infectious Diseases, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Gaia Nebbia
- Department of Infectious Diseases, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Paul E Klapper
- UK Health Security Agency, London, UK
- The University of Manchester, Manchester, UK
| | | | | | | | - Tom Fowler
- UK Health Security Agency, London, UK
- Queen Mary University of London, William Harvey Research Institute, London, UK
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Pezeshkpoor B, Berkemeier AC, Herbst K, Albert T, Müller J, Oldenburg J. Comprehensive domain-specific analysis and immunoglobulin G profiling of anti-factor VIII antibodies using a bead-based multiplex immunoassay. J Thromb Haemost 2024; 22:1591-1604. [PMID: 38453023 DOI: 10.1016/j.jtha.2024.02.016] [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: 11/14/2023] [Revised: 01/27/2024] [Accepted: 02/24/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Antibodies against factor (F)VIII are a major complication in the treatment of patients with severe hemophilia A. The Nijmegen-Bethesda assay (NBA) is the gold standard for detection of neutralizing antibodies (inhibitors), whereas both inhibitors and nonneutralizing antibodies can be detected by immunoassays such as enzyme-linked immunosorbent assay (ELISA) and multiplex bead-based assays. OBJECTIVES Evaluation of an in-house Luminex bead-based assay (LumiTope) compared with a commercially available ELISA and NBA. METHODS The LumiTope method comprised full-length and B-domain-deleted FVIII as well as 9 purified FVIII single or multidomains. The respective proteins were coupled to magnetic beads to detect domain-specific immunoglobulin (IgG; IgG1-4) anti-FVIII antibodies in a large cohort of patients with hemophilia A with and without inhibitors. RESULTS Overall, LumiTope assay had a high sensitivity (94.9%) and specificity (91.2%), particularly in patients with low-titer inhibitors compared with ELISA (sensitivity of 72.2% vs 27.7%). IgG4 was the most abundant IgG subclass in NBA-positive patients. NBA-positive and -negative patients showed different domain profiles. Patients with genetic variants in the heavy chain predominantly exhibited antibodies specific to this chain, while those with a light-chain variant showed a more diverse distribution of antibody specificities. Patients with an intron 22 inversion resembled those with a light-chain defect, with a majority of antibodies targeting the light chain. CONCLUSION LumiTope assay provides a sensitive and specific method for not only detection but also domain specification of anti-FVIII-antibodies. Implementation of bead-based assays could improve antibody detection, profiling, and comparability of results and complement NBA.
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Affiliation(s)
- Behnaz Pezeshkpoor
- Institute of Experimental Hematology and Transfusion Medicine, University Hospital Bonn, Medical Faculty, University of Bonn, Bonn, Germany.
| | - Ann-Cristin Berkemeier
- Institute of Experimental Hematology and Transfusion Medicine, University Hospital Bonn, Medical Faculty, University of Bonn, Bonn, Germany
| | - Kerstin Herbst
- Institute of Experimental Hematology and Transfusion Medicine, University Hospital Bonn, Medical Faculty, University of Bonn, Bonn, Germany
| | - Thilo Albert
- Institute of Experimental Hematology and Transfusion Medicine, University Hospital Bonn, Medical Faculty, University of Bonn, Bonn, Germany
| | - Jens Müller
- Institute of Experimental Hematology and Transfusion Medicine, University Hospital Bonn, Medical Faculty, University of Bonn, Bonn, Germany
| | - Johannes Oldenburg
- Institute of Experimental Hematology and Transfusion Medicine, University Hospital Bonn, Medical Faculty, University of Bonn, Bonn, Germany; Center for Rare Diseases Bonn (ZSEB), University Clinic Bonn, Bonn, Germany.
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Cirrincione M, Downing M, Leite K, Dolphin S, Samuta A, Schermer M, Noble K, Walsh B. Assessment of Reader Technologies for Over-the-Counter Diagnostic Testing. IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY 2024; 5:210-215. [PMID: 38606399 PMCID: PMC11008808 DOI: 10.1109/ojemb.2024.3355701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 12/29/2023] [Accepted: 01/15/2024] [Indexed: 04/13/2024] Open
Abstract
Background: Over-the-counter (OTC) diagnostic testing is on the rise with many in vitro diagnostic tests being lateral flow assays (LFAs). A growing number of these are adopting reader technologies, which provides an alternative to visual readouts for results interpretation, allowing for improved accessibility of OTC diagnostics. As the reader technology market develops, there are many technologies entering the market, but no clear, single solution has yet been identified. The purpose of this research is to identify and discuss important parameters for the assessment of LFA reader technologies for consideration by manufacturers or researchers. Methods: As part of The National Institute of Biomedical Imaging and Bioengineering's Rapid Acceleration of Diagnostics (RADx) Tech program, reader manufacturers were interviewed to investigate the current state of reader technology development through several parameters identified as important industry standards. Readers were categorized by technology type and parameters including cost, detection method, multiplex capabilities, assay type, maturity, and use case were all assessed. Results: Fifteen reader manufacturers were identified and interviewed, and information on a total of 19 technologies was assessed. Reader technology type was found to be predictive of other attributes, whether the reader is smart technology only, a standalone reader, a reader with smart technology required, or a reader with smart technology optional. Conclusions: Pairing reader technology with OTC diagnostic tests is important for improving existing COVID-19 tests and can be utilized in other diagnostics as the OTC use case grows in popularity. Reader technology type, which is predictive of core reader attributes, should be considered when selecting a reader technology for a specific LFA test within the context of regulatory guidance. As diagnostics increase in complexity, readers provide solutions to accessibility challenges, facilitate public health reporting, and ease the transition to multiplex testing, therefore increasing market availability.
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Lim HJ, Lee JY, Baek YH, Park MY, Youm DJ, Kim I, Kim MJ, Choi J, Sohn YH, Park JE, Yang YJ. Evaluation of Multiplex Rapid Antigen Tests for the Simultaneous Detection of SARS-CoV-2 and Influenza A/B Viruses. Biomedicines 2023; 11:3267. [PMID: 38137488 PMCID: PMC10741453 DOI: 10.3390/biomedicines11123267] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/05/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
Single-target rapid antigen tests (RATs) are commonly used to detect highly transmissible respiratory viruses (RVs), such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza viruses. The simultaneous detection of RVs presenting overlapping symptoms is vital in making appropriate decisions about treatment, isolation, and resource utilization; however, few studies have evaluated multiplex RATs for SARS-CoV-2 and other RVs. We assessed the diagnostic performance of multiplex RATs targeting both the SARS-CoV-2 and influenza A/B viruses with the GenBody Influenza/COVID-19 Ag Triple, InstaView COVID-19/Flu Ag Combo (InstaView), STANDARDTM Q COVID-19 Ag Test, and STANDARDTM Q Influenza A/B Test kits using 974 nasopharyngeal swab samples. The cycle threshold values obtained from the real-time reverse transcription polymerase chain reaction results showed higher sensitivity (72.7-100%) when the values were below, rather than above, the cut-off values. The InstaView kit exhibited significantly higher positivity rates (80.21% for SARS-CoV-2, 61.75% for influenza A, and 46.15% for influenza B) and cut-off values (25.57 for SARS-CoV-2, 21.19 for influenza A, and 22.35 for influenza B) than the other two kits, and was able to detect SARS-CoV-2 Omicron subvariants. Therefore, the InstaView kit is the best choice for routine screening for both SARS-CoV-2 and influenza A/B in local communities.
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Affiliation(s)
- Ho-Jae Lim
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Republic of Korea; (H.-J.L.); (J.-Y.L.); (Y.-H.B.); (M.-Y.P.); (D.-J.Y.); (I.K.); (M.-J.K.); (J.C.); (Y.-H.S.)
- Department of Integrative Biological Sciences & BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Chosun University, Gwangju 61452, Republic of Korea
| | - Ji-Yoon Lee
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Republic of Korea; (H.-J.L.); (J.-Y.L.); (Y.-H.B.); (M.-Y.P.); (D.-J.Y.); (I.K.); (M.-J.K.); (J.C.); (Y.-H.S.)
| | - Young-Hyun Baek
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Republic of Korea; (H.-J.L.); (J.-Y.L.); (Y.-H.B.); (M.-Y.P.); (D.-J.Y.); (I.K.); (M.-J.K.); (J.C.); (Y.-H.S.)
| | - Min-Young Park
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Republic of Korea; (H.-J.L.); (J.-Y.L.); (Y.-H.B.); (M.-Y.P.); (D.-J.Y.); (I.K.); (M.-J.K.); (J.C.); (Y.-H.S.)
| | - Dong-Jae Youm
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Republic of Korea; (H.-J.L.); (J.-Y.L.); (Y.-H.B.); (M.-Y.P.); (D.-J.Y.); (I.K.); (M.-J.K.); (J.C.); (Y.-H.S.)
| | - Inhee Kim
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Republic of Korea; (H.-J.L.); (J.-Y.L.); (Y.-H.B.); (M.-Y.P.); (D.-J.Y.); (I.K.); (M.-J.K.); (J.C.); (Y.-H.S.)
| | - Min-Jin Kim
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Republic of Korea; (H.-J.L.); (J.-Y.L.); (Y.-H.B.); (M.-Y.P.); (D.-J.Y.); (I.K.); (M.-J.K.); (J.C.); (Y.-H.S.)
| | - Jongmun Choi
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Republic of Korea; (H.-J.L.); (J.-Y.L.); (Y.-H.B.); (M.-Y.P.); (D.-J.Y.); (I.K.); (M.-J.K.); (J.C.); (Y.-H.S.)
| | - Yong-Hak Sohn
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Republic of Korea; (H.-J.L.); (J.-Y.L.); (Y.-H.B.); (M.-Y.P.); (D.-J.Y.); (I.K.); (M.-J.K.); (J.C.); (Y.-H.S.)
| | - Jung-Eun Park
- Department of Integrative Biological Sciences & BK21 FOUR Educational Research Group for Age-Associated Disorder Control Technology, Chosun University, Gwangju 61452, Republic of Korea
| | - Yong-Jin Yang
- Department of Molecular Diagnostics, Seegene Medical Foundation, Seoul 04805, Republic of Korea; (H.-J.L.); (J.-Y.L.); (Y.-H.B.); (M.-Y.P.); (D.-J.Y.); (I.K.); (M.-J.K.); (J.C.); (Y.-H.S.)
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Johannsen B, Baumgartner D, Karpíšek M, Stejskal D, Boillat-Blanco N, Knüsli J, Panning M, Paust N, Zengerle R, Mitsakakis K. Patient Stratification for Antibiotic Prescriptions Based on the Bound-Free Phase Detection Immunoassay of C-Reactive Protein in Serum Samples. BIOSENSORS 2023; 13:1009. [PMID: 38131769 PMCID: PMC10741775 DOI: 10.3390/bios13121009] [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: 10/23/2023] [Revised: 11/23/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023]
Abstract
C-reactive protein is a well-studied host response biomarker, whose diagnostic performance depends on its accurate classification into concentration zones defined by clinical scenario-specific cutoff values. We validated a newly developed, bead-based, bound-free phase detection immunoassay (BFPD-IA) versus a commercial CE-IVD enzyme-linked immunosorbent assay (ELISA) kit and a commercial CE-IVD immunoturbidimetric assay (ITA) kit. The latter was performed on a fully automated DPC Konelab 60i clinical analyzer used in routine diagnosis. We classified 53 samples into concentration zones derived from four different sets of cutoff values that are related to antibiotic prescription scenarios in the case of respiratory tract infections. The agreements between the methods were ELISA/ITA at 87.7%, ELISA/BFPD-IA at 87.3%, and ITA/-BFPD-IA at 93.9%, reaching 98-99% in all cases when considering the calculated relative combined uncertainty of the single measurement of each sample. In a subgroup of 37 samples, which were analyzed for absolute concentration quantification, the scatter plot slopes' correlations were as follows: ELISA/ITA 1.15, R2 = 0.97; BFPD-IA/ELISA 1.12, R2 = 0.95; BFPD-IA/ITA 0.95, R2 = 0.93. These very good performances and the agreement between BFPD-IA and ITA (routine diagnostic), combined with BFPD-IA's functional advantages over ITA (and ELISA)-such as quick time to result (~20 min), reduced consumed reagents (only one assay buffer and no washing), few and easy steps, and compatibility with nucleic-acid-amplification instruments-render it a potential approach for a reliable, cost-efficient, evidence-based point-of-care diagnostic test for guiding antibiotic prescriptions.
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Affiliation(s)
- Benita Johannsen
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
| | | | - Michal Karpíšek
- BioVendor-Laboratorní Medicína a.s., Research & Diagnostic Products Division, Karasek 1767/1, Reckovice, 62100 Brno, Czech Republic
- Faculty of Pharmacy, Masaryk University, Palackeho trida 1946/1, 61242 Brno, Czech Republic
| | - David Stejskal
- Department of Biomedical Sciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 70300 Ostrava, Czech Republic
- Institute of Laboratory Diagnostics, University Hospital Ostrava, 17. listopadu 1790/5, 70800 Ostrava, Czech Republic
| | - Noémie Boillat-Blanco
- Service of Infectious Diseases, Lausanne University Hospital, University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - José Knüsli
- Service of Infectious Diseases, Lausanne University Hospital, University of Lausanne, Rue du Bugnon 46, 1011 Lausanne, Switzerland
| | - Marcus Panning
- Institute of Virology, Freiburg University Medical Center, Faculty of Medicine, University of Freiburg, Hermann-Herder-Strasse 11, 79104 Freiburg, Germany
| | - Nils Paust
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
- Laboratory for MEMS Applications, IMTEK–Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
| | - Roland Zengerle
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
- Laboratory for MEMS Applications, IMTEK–Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
| | - Konstantinos Mitsakakis
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
- Laboratory for MEMS Applications, IMTEK–Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
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6
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Li G, Li Q, Wang X, Liu X, Zhang Y, Li R, Guo J, Zhang G. Lateral flow immunoassays for antigens, antibodies and haptens detection. Int J Biol Macromol 2023:125186. [PMID: 37268073 DOI: 10.1016/j.ijbiomac.2023.125186] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/08/2023] [Accepted: 05/30/2023] [Indexed: 06/04/2023]
Abstract
Lateral flow immunoassay (LFIA) is widely used as a rapid point-of-care testing (POCT) technique in food safety, veterinary and clinical detection on account of the accessible, fast and low-cost characteristics. After the outbreak of the coronavirus disease 2019 (COVID-19), different types of LFIAs have attracted considerable interest because of their ability of providing immediate diagnosis directly to users, thereby effectively controlling the outbreak. Based on the introduction of the principles and key components of LFIAs, this review focuses on the major detection formats of LFIAs for antigens, antibodies and haptens. With the rapid innovation of detection technologies, new trends of novel labels, multiplex and digital assays are increasingly integrated with LFIAs. Therefore, this review will also introduce the development of new trends of LFIAs as well as its future perspectives.
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Affiliation(s)
- Ge Li
- College of Veterinary Medicine, Northwest Agriculture and Forestry University, Yangling 712100, China
| | - Qingmei Li
- Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Xun Wang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002, China
| | - Xiao Liu
- Henan Medical College, Zhengzhou 451191, China
| | - Yuhang Zhang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002, China
| | - Rui Li
- Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Junqing Guo
- Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China.
| | - Gaiping Zhang
- College of Veterinary Medicine, Northwest Agriculture and Forestry University, Yangling 712100, China; Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; College of Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002, China; Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou University, Yangzhou 225009, China.
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Keijer J, Escoté X, Galmés S, Palou-March A, Serra F, Aldubayan MA, Pigsborg K, Magkos F, Baker EJ, Calder PC, Góralska J, Razny U, Malczewska-Malec M, Suñol D, Galofré M, Rodríguez MA, Canela N, Malcic RG, Bosch M, Favari C, Mena P, Del Rio D, Caimari A, Gutierrez B, Del Bas JM. Omics biomarkers and an approach for their practical implementation to delineate health status for personalized nutrition strategies. Crit Rev Food Sci Nutr 2023; 64:8279-8307. [PMID: 37077157 DOI: 10.1080/10408398.2023.2198605] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
Personalized nutrition (PN) has gained much attention as a tool for empowerment of consumers to promote changes in dietary behavior, optimizing health status and preventing diet related diseases. Generalized implementation of PN faces different obstacles, one of the most relevant being metabolic characterization of the individual. Although omics technologies allow for assessment the dynamics of metabolism with unprecedented detail, its translatability as affordable and simple PN protocols is still difficult due to the complexity of metabolic regulation and to different technical and economical constrains. In this work, we propose a conceptual framework that considers the dysregulation of a few overarching processes, namely Carbohydrate metabolism, lipid metabolism, inflammation, oxidative stress and microbiota-derived metabolites, as the basis of the onset of several non-communicable diseases. These processes can be assessed and characterized by specific sets of proteomic, metabolomic and genetic markers that minimize operational constrains and maximize the information obtained at the individual level. Current machine learning and data analysis methodologies allow the development of algorithms to integrate omics and genetic markers. Reduction of dimensionality of variables facilitates the implementation of omics and genetic information in digital tools. This framework is exemplified by presenting the EU-Funded project PREVENTOMICS as a use case.
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Affiliation(s)
- Jaap Keijer
- Human and Animal Physiology, Wageningen University, Wageningen, the Netherlands
| | - Xavier Escoté
- EURECAT, Centre Tecnològic de Catalunya, Nutrition and Health, Reus, Spain
| | - Sebastià Galmés
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Spin-off n.1 of the University of the Balearic Islands, Alimentómica S.L, Palma, Spain
| | - Andreu Palou-March
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Spin-off n.1 of the University of the Balearic Islands, Alimentómica S.L, Palma, Spain
| | - Francisca Serra
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Group of Nutrigenomics, Biomarkers and Risk Evaluation - NuBE), University of the Balearic Islands, Palma, Spain
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
- Spin-off n.1 of the University of the Balearic Islands, Alimentómica S.L, Palma, Spain
| | - Mona Adnan Aldubayan
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Nutrition, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Kristina Pigsborg
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Faidon Magkos
- Department of Nutrition, Exercise, and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Ella J Baker
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Philip C Calder
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton, UK
| | - Joanna Góralska
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland
| | - Urszula Razny
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Krakow, Poland
| | | | - David Suñol
- Digital Health, Eurecat, Centre Tecnològic de Catalunya, Barcelona, Spain
| | - Mar Galofré
- Digital Health, Eurecat, Centre Tecnològic de Catalunya, Barcelona, Spain
| | - Miguel A Rodríguez
- Centre for Omic Sciences (COS), Joint Unit URV-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Eurecat, Centre Tecnològic de Catalunya, Reus, Spain
| | - Núria Canela
- Centre for Omic Sciences (COS), Joint Unit URV-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Eurecat, Centre Tecnològic de Catalunya, Reus, Spain
| | - Radu G Malcic
- Health and Biomedicine, LEITAT Technological Centre, Barcelona, Spain
| | - Montserrat Bosch
- Applied Microbiology and Biotechnologies, LEITAT Technological Centre, Terrassa, Spain
| | - Claudia Favari
- Human Nutrition Unit, Department of Food & Drug, University of Parma, Parma, Italy
| | - Pedro Mena
- Human Nutrition Unit, Department of Food & Drug, University of Parma, Parma, Italy
| | - Daniele Del Rio
- Human Nutrition Unit, Department of Food & Drug, University of Parma, Parma, Italy
| | - Antoni Caimari
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology area, Reus, Spain
| | | | - Josep M Del Bas
- Eurecat, Centre Tecnològic de Catalunya, Biotechnology area, Reus, Spain
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8
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Manessis G, Gelasakis AI, Bossis I. Point-of-Care Diagnostics for Farm Animal Diseases: From Biosensors to Integrated Lab-on-Chip Devices. BIOSENSORS 2022; 12:455. [PMID: 35884258 PMCID: PMC9312888 DOI: 10.3390/bios12070455] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/22/2022] [Accepted: 06/23/2022] [Indexed: 02/06/2023]
Abstract
Zoonoses and animal diseases threaten human health and livestock biosecurity and productivity. Currently, laboratory confirmation of animal disease outbreaks requires centralized laboratories and trained personnel; it is expensive and time-consuming, and it often does not coincide with the onset or progress of diseases. Point-of-care (POC) diagnostics are rapid, simple, and cost-effective devices and tests, that can be directly applied on field for the detection of animal pathogens. The development of POC diagnostics for use in human medicine has displayed remarkable progress. Nevertheless, animal POC testing has not yet unfolded its full potential. POC devices and tests for animal diseases face many challenges, such as insufficient validation, simplicity, and portability. Emerging technologies and advanced materials are expected to overcome some of these challenges and could popularize animal POC testing. This review aims to: (i) present the main concepts and formats of POC devices and tests, such as lateral flow assays and lab-on-chip devices; (ii) summarize the mode of operation and recent advances in biosensor and POC devices for the detection of farm animal diseases; (iii) present some of the regulatory aspects of POC commercialization in the EU, USA, and Japan; and (iv) summarize the challenges and future perspectives of animal POC testing.
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Affiliation(s)
- Georgios Manessis
- Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, Agricultural University of Athens (AUA), Iera Odos 75 Str., 11855 Athens, Greece; (G.M.); (A.I.G.)
| | - Athanasios I. Gelasakis
- Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, Agricultural University of Athens (AUA), Iera Odos 75 Str., 11855 Athens, Greece; (G.M.); (A.I.G.)
| | - Ioannis Bossis
- Laboratory of Animal Husbandry, Department of Animal Production, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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