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Macotpet A, Pattarapanwichien E, Chio-Srichan S, Daduang J, Boonsiri P. Attenuated total reflection Fourier transform infrared as a primary screening method for cancer in canine serum. J Vet Sci 2020; 21:e16. [PMID: 31940695 PMCID: PMC7000890 DOI: 10.4142/jvs.2020.21.e16] [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] [Received: 01/24/2019] [Revised: 08/27/2019] [Accepted: 11/09/2019] [Indexed: 11/28/2022] Open
Abstract
Cancer is a major cause of death in dogs worldwide, and the incidence of cancer in dogs is increasing. The attenuated total reflection Fourier transform infrared spectroscopic (ATR-FTIR) technique is a powerful tool for the diagnosis of several diseases. This method enables samples to be examined directly without pre-preparation. In this study, we evaluated the diagnostic value of ATR-FTIR for the detection of cancer in dogs. Cancer-bearing dogs (n = 30) diagnosed by pathologists and clinically healthy dogs (n = 40) were enrolled in this study. Peripheral blood was collected for clinicopathological diagnosis. ATR-FTIR spectra were acquired, and principal component analysis was performed on the full wave number spectra (4,000–650 cm−1). The leave-one-out cross validation technique and partial least squares regression analysis were used to predict normal and cancer spectra. Red blood cell counts, hemoglobin levels and white blood cell counts were significantly lower in cancer-bearing dogs than in clinically healthy dogs (p < 0.01, p < 0.01 and p = 0.03, respectively). ATR-FTIR spectra showed significant differences between the clinically healthy and cancer-bearing groups. This finding demonstrates that ATR-FTIR can be applied as a screening technique to distinguish between cancer-bearing dogs and healthy dogs.
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Affiliation(s)
- Arayaporn Macotpet
- Division of Companion Animal Medicine, Faculty of Veterinary Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Ekkachai Pattarapanwichien
- Division of Pathobiology, Faculty of Veterinary Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Sirinart Chio-Srichan
- Synchrotron Light Research Institute, University Avenue, Nakhon Ratchasima 30000, Thailand
| | - Jureerut Daduang
- Centre for Research and Development of Medical Diagnostic Laboratories, Biosensor Research Group for Non-Communicable Disease and Infectious Disease, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.
| | - Patcharee Boonsiri
- Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
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McIlwraith CW, Kawcak CE, Frisbie DD, Little CB, Clegg PD, Peffers MJ, Karsdal MA, Ekman S, Laverty S, Slayden RA, Sandell LJ, Lohmander LS, Kraus VB. Biomarkers for equine joint injury and osteoarthritis. J Orthop Res 2018; 36:823-831. [PMID: 28921609 DOI: 10.1002/jor.23738] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Accepted: 09/07/2017] [Indexed: 02/04/2023]
Abstract
We report the results of a symposium aimed at identifying validated biomarkers that can be used to complement clinical observations for diagnosis and prognosis of joint injury leading to equine osteoarthritis (OA). Biomarkers might also predict pre-fracture change that could lead to catastrophic bone failure in equine athletes. The workshop was attended by leading scientists in the fields of equine and human musculoskeletal biomarkers to enable cross-disciplinary exchange and improve knowledge in both. Detailed proceedings with strategic planning was written, added to, edited and referenced to develop this manuscript. The most recent information from work in equine and human osteoarthritic biomarkers was accumulated, including the use of personalized healthcare to stratify OA phenotypes, transcriptome analysis of anterior cruciate ligament (ACL) and meniscal injuries in the human knee. The spectrum of "wet" biomarker assays that are antibody based that have achieved usefulness in both humans and horses, imaging biomarkers and the role they can play in equine and human OA was discussed. Prediction of musculoskeletal injury in the horse remains a challenge, and the potential usefulness of spectroscopy, metabolomics, proteomics, and development of biobanks to classify biomarkers in different stages of equine and human OA were reviewed. The participants concluded that new information and studies in equine musculoskeletal biomarkers have potential translational value for humans and vice versa. OA is equally important in humans and horses, and the welfare issues associated with catastrophic musculoskeletal injury in horses add further emphasis to the need for good validated biomarkers in the horse. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:823-831, 2018.
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Affiliation(s)
- C Wayne McIlwraith
- Orthopaedic Research Center, Barbara Cox Anthony University Chair in Orthopaedics, Colorado State University, 300 West Drake Road, Fort Collins, Colorado 80523
| | - Christopher E Kawcak
- Orthopaedic Research Center, Barbara Cox Anthony University Chair in Orthopaedics, Colorado State University, 300 West Drake Road, Fort Collins, Colorado 80523
| | - David D Frisbie
- Orthopaedic Research Center, Barbara Cox Anthony University Chair in Orthopaedics, Colorado State University, 300 West Drake Road, Fort Collins, Colorado 80523
| | - Christopher B Little
- Raymond Purves Bone and Joint Research Labs, The University of Sydney, Sydney, Australia
| | - Peter D Clegg
- Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK
| | - Mandy J Peffers
- Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK
| | | | - Stina Ekman
- Department of Biomedicine and Veterinary Public Health, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Sheila Laverty
- Department of Clinical Sciences, University of Montreal, Saint-Hyacinthe, Quebec, Canada
| | - Richard A Slayden
- Department of Microbiology, Immunology & Pathology, Colorado State University, Fort Collins, Colorado
| | - Linda J Sandell
- Department of Orthopaedic Surgery, Washington University, St. Louis, Missouri
| | - L S Lohmander
- Department of Clinical Sciences Lund, Orthopaedics, Lund University, Lund, Sweden
| | - Virginia B Kraus
- Duke Molecular Physiology Institute and Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
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Elsohaby I, McClure JT, Riley CB, Bryanton J, Bigsby K, Shaw RA. Centrifugal ultrafiltration of human serum for improving immunoglobulin A quantification using attenuated total reflectance infrared spectroscopy. J Pharm Biomed Anal 2017; 150:413-419. [PMID: 29288967 DOI: 10.1016/j.jpba.2017.12.031] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 11/23/2017] [Accepted: 12/15/2017] [Indexed: 01/31/2023]
Abstract
Attenuated total reflectance infrared (ATR-IR) spectroscopy is a simple, rapid and cost-effective method for the analysis of serum. However, the complex nature of serum remains a limiting factor to the reliability of this method. We investigated the benefits of coupling the centrifugal ultrafiltration with ATR-IR spectroscopy for quantification of human serum IgA concentration. Human serum samples (n = 196) were analyzed for IgA using an immunoturbidimetric assay. ATR-IR spectra were acquired for whole serum samples and for the retentate (residue) reconstituted with saline following 300 kDa centrifugal ultrafiltration. IR-based analytical methods were developed for each of the two spectroscopic datasets, and the accuracy of each of the two methods compared. Analytical methods were based upon partial least squares regression (PLSR) calibration models - one with 5-PLS factors (for whole serum) and the second with 9-PLS factors (for the reconstituted retentate). Comparison of the two sets of IR-based analytical results to reference IgA values revealed improvements in the Pearson correlation coefficient (from 0.66 to 0.76), and the root mean squared error of prediction in IR-based IgA concentrations (from 102 to 79 mg/dL) for the ultrafiltration retentate-based method as compared to the method built upon whole serum spectra. Depleting human serum low molecular weight proteins using a 300 kDa centrifugal filter thus enhances the accuracy IgA quantification by ATR-IR spectroscopy. Further evaluation and optimization of this general approach may ultimately lead to routine analysis of a range of high molecular-weight analytical targets that are otherwise unsuitable for IR-based analysis.
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Affiliation(s)
- Ibrahim Elsohaby
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, C1A 4P3, Canada; Department of Animal Medicine, Division of Infectious Diseases, Faculty of Veterinary Medicine, Zagazig University, Zagazig City 44511, Sharkia Province, Egypt.
| | - J Trenton McClure
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, C1A 4P3, Canada
| | - Christopher B Riley
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, C1A 4P3, Canada; Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North 4442, New Zealand
| | - Janet Bryanton
- School of Nursing, University of Prince Edward Island, Charlottetown, Prince Edward Island, C1A 4P3, Canada
| | - Kathryn Bigsby
- Queen Elizabeth Hospital, Charlottetown, Prince Edward Island, C1A 8T5, Canada
| | - R Anthony Shaw
- National Research Council of Canada, Medical Devices Portfolio, Winnipeg, Manitoba, R3B 1Y6, Canada
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Elsohaby I, McClure JT, Riley CB, Shaw RA, Keefe GP. Quantification of bovine immunoglobulin G using transmission and attenuated total reflectance infrared spectroscopy. J Vet Diagn Invest 2015; 28:30-7. [PMID: 26699522 DOI: 10.1177/1040638715613101] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
In this study, we evaluated and compared the performance of transmission and attenuated total reflectance (ATR) infrared (IR) spectroscopic methods (in combination with quantification algorithms previously developed using partial least squares regression) for the rapid measurement of bovine serum immunoglobulin G (IgG) concentration, and detection of failure of transfer of passive immunity (FTPI) in dairy calves. Serum samples (n = 200) were collected from Holstein calves 1-11 days of age. Serum IgG concentrations were measured by the reference method of radial immunodiffusion (RID) assay, transmission IR (TIR) and ATR-IR spectroscopy-based assays. The mean IgG concentration measured by RID was 17.22 g/L (SD ±9.60). The mean IgG concentrations predicted by TIR and ATR-IR spectroscopy methods were 15.60 g/L (SD ±8.15) and 15.94 g/L (SD ±8.66), respectively. RID IgG concentrations were positively correlated with IgG levels predicted by TIR (r = 0.94) and ATR-IR (r = 0.92). The correlation between 2 IR spectroscopic methods was 0.94. Using an IgG concentration <10 g/L as the cut-point for FTPI cases, the overall agreement between TIR and ATR-IR methods was 94%, with a corresponding kappa value of 0.84. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for identifying FTPI by TIR were 0.87, 0.97, 0.91, 0.95, and 0.94, respectively. Corresponding values for ATR-IR were 0.87, 0.95, 0.86, 0.95, and 0.93, respectively. Both TIR and ATR-IR spectroscopic approaches can be used for rapid quantification of IgG level in neonatal bovine serum and for diagnosis of FTPI in dairy calves.
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Affiliation(s)
- Ibrahim Elsohaby
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada (Elsohaby, McClure, Riley, Keefe)Infectious Diseases, Department of Animal Medicine, Faculty of Veterinary Medicine, Zagazig University, Zagazig city, Sharkia Province, Egypt (Elsohaby)Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand (Riley)National Research Council of Canada, Medical Devices Portfolio, Winnipeg, Manitoba, Canada (Shaw)
| | - J Trenton McClure
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada (Elsohaby, McClure, Riley, Keefe)Infectious Diseases, Department of Animal Medicine, Faculty of Veterinary Medicine, Zagazig University, Zagazig city, Sharkia Province, Egypt (Elsohaby)Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand (Riley)National Research Council of Canada, Medical Devices Portfolio, Winnipeg, Manitoba, Canada (Shaw)
| | - Christopher B Riley
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada (Elsohaby, McClure, Riley, Keefe)Infectious Diseases, Department of Animal Medicine, Faculty of Veterinary Medicine, Zagazig University, Zagazig city, Sharkia Province, Egypt (Elsohaby)Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand (Riley)National Research Council of Canada, Medical Devices Portfolio, Winnipeg, Manitoba, Canada (Shaw)
| | - R Anthony Shaw
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada (Elsohaby, McClure, Riley, Keefe)Infectious Diseases, Department of Animal Medicine, Faculty of Veterinary Medicine, Zagazig University, Zagazig city, Sharkia Province, Egypt (Elsohaby)Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand (Riley)National Research Council of Canada, Medical Devices Portfolio, Winnipeg, Manitoba, Canada (Shaw)
| | - Gregory P Keefe
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada (Elsohaby, McClure, Riley, Keefe)Infectious Diseases, Department of Animal Medicine, Faculty of Veterinary Medicine, Zagazig University, Zagazig city, Sharkia Province, Egypt (Elsohaby)Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand (Riley)National Research Council of Canada, Medical Devices Portfolio, Winnipeg, Manitoba, Canada (Shaw)
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Exploration of attenuated total reflectance mid-infrared spectroscopy and multivariate calibration to measure immunoglobulin G in human sera. Talanta 2015; 142:110-9. [DOI: 10.1016/j.talanta.2015.04.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2015] [Revised: 04/03/2015] [Accepted: 04/03/2015] [Indexed: 12/14/2022]
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Elsohaby I, Hou S, McClure JT, Riley CB, Shaw RA, Keefe GP. A rapid field test for the measurement of bovine serum immunoglobulin G using attenuated total reflectance infrared spectroscopy. BMC Vet Res 2015; 11:218. [PMID: 26289208 PMCID: PMC4546031 DOI: 10.1186/s12917-015-0539-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2015] [Accepted: 08/10/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Following the recent development of a new approach to quantitative analysis of IgG concentrations in bovine serum using transmission infrared spectroscopy, the potential to measure IgG levels using technology and a device better designed for field use was investigated. A method using attenuated total reflectance infrared (ATR) spectroscopy in combination with partial least squares (PLS) regression was developed to measure bovine serum IgG concentrations. ATR spectroscopy has a distinct ease-of-use advantage that may open the door to routine point-of-care testing. Serum samples were collected from calves and adult cows, tested by a reference RID method, and ATR spectra acquired. The spectra were linked to the RID-IgG concentrations and then randomly split into two sets: calibration and prediction. The calibration set was used to build a calibration model, while the prediction set was used to assess the predictive performance and accuracy of the final model. The procedure was repeated for various spectral data preprocessing approaches. RESULTS For the prediction set, the Pearson's and concordance correlation coefficients between the IgG measured by RID and predicted by ATR spectroscopy were both 0.93. The Bland Altman plot revealed no obvious systematic bias between the two methods. ATR spectroscopy showed a sensitivity for detection of failure of transfer of passive immunity (FTPI) of 88 %, specificity of 100 % and accuracy of 94 % (with IgG <1000 mg/dL as the FTPI cut-off value). CONCLUSION ATR spectroscopy in combination with multivariate data analysis shows potential as an alternative approach for rapid quantification of IgG concentrations in bovine serum and the diagnosis of FTPI in calves.
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Affiliation(s)
- Ibrahim Elsohaby
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, 550 University Avenue, Charlottetown, PEI C1A 4P3, Canada. .,Infectious Diseases, Department of Animal Medicine, Faculty of Veterinary Medicine, Zagazig University, Zagazig, 44511, Sharkia Province, Egypt.
| | - Siyuan Hou
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, 550 University Avenue, Charlottetown, PEI C1A 4P3, Canada.
| | - J Trenton McClure
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, 550 University Avenue, Charlottetown, PEI C1A 4P3, Canada.
| | - Christopher B Riley
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, 550 University Avenue, Charlottetown, PEI C1A 4P3, Canada. .,Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, 4442, New Zealand.
| | - R Anthony Shaw
- National Research Council of Canada, Medical Devices Portfolio, Winnipeg, MB, R3B 1Y6, Canada.
| | - Gregory P Keefe
- Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, 550 University Avenue, Charlottetown, PEI C1A 4P3, Canada.
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