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Home / Equine Research Bank / Osteoarthr Cartil Open / Infrared spectroscopy of serum fails to identify early bioma...
Osteoarthritis and cartilage open2022; 4(4); 100297; doi: 10.1016/j.ocarto.2022.100297

Infrared spectroscopy of serum fails to identify early biomarker changes in an equine model of traumatic osteoarthritis.

Abstract: to determine the accuracy of infrared (IR)-based serum biomarker profiling to differentiate horses with early inflammatory changes associated with a traumatically induced model of equine carpal osteoarthritis (OA) from controls. Methods: unilateral carpal OA was induced in 9 of 17 healthy Thoroughbred fillies, while the remainder served as sham operated controls. Serum samples were obtained before induction of OA (Day 0) and weekly thereafter until Day 63 from both groups. Films of dried serum were created, and IR absorbance spectra acquired. Following pre-processing, partial least squares discriminant analysis (PLSDA) and principal component analysis (PCA) were used to assess group and time differences and generate predictive models for wavenumber ranges 1300-1800 ​cm and 2600-3700 ​cm. Results: the overall correct classification rate when classifying samples by group (OA or Sham) was 52.7% (s.d. ​= ​12.8%), while it was 94.0% (s.d. ​= ​1.4%) by sampling Day. The correct classification results by group-sampling Day combinations with pre-intervention serum (Day 0) was 50.5% (s.d. ​= ​21.7%). Conclusions: with the current approach IR spectroscopic analysis could not differentiate serum of horses with induced carpal OA from that of controls. The high classification rate obtained by Day of sampling may reflect the effect of exercise on the biomarker profile. A longer study period (advanced disease) or naturally occurring disease may provide further information on the suitability of this technique in horses.
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Publication Date: 2022-08-08 PubMed ID: 36474792PubMed Central: PMC9718294DOI: 10.1016/j.ocarto.2022.100297Google Scholar: Lookup
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  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The study explores the use of infrared spectroscopy in detecting early biomarkers for osteoarthritis in horses, however, it finds that this method is currently not sufficient to distinguish between affected horses and controls.

Objective and Methodology

  • The research was focused on determining the efficacy of infrared (IR)-based serum biomarker profiling in identifying early signs of osteoarthritis (OA) in horses, specifically stemming from trauma.
  • The study was conducted on 17 healthy Thoroughbred fillies. OA was induced unilaterally in 9 of the horses to create the affected group. The remaining 8 served as the control group.
  • The researchers collected serum samples, which were then processed into dried film form to acquire IR absorbance spectra. This was done before the induction of OA and then carried out weekly until the 63rd day.

Analytical Methods and Results

  • The team employed partial least squares discriminant analysis (PLSDA) and principal component analysis (PCA) to interpret differences in time and group results. These analytical methods also allowed them to build predictive models for certain wavenumber ranges.
  • Overall, the correct classification rate when distinguishing the groups was at 52.7%, suggesting that the IR spectroscopy method was not very effective in differentiating between OA affected horses and controls.
  • However, the rate of correct classification by sampling day was reported notably higher at 94.0%, suggesting that the time of sampling plays a crucial role in accurate classification.

Conclusion and Future Implications

  • The findings indicate that the current approach of using IR spectroscopy couldn’t effectively distinguish between equine OA samples and controls.
  • The high classification rate by sampling day might be due to the effect of exercise on the biomarker profile.
  • Suggestions for future research include extending the study period or focusing on naturally occurring disease to gain more insight into the suitability of this technique for equine patients.

Cite This Article

APA
Panizzi L, Vignes M, Dittmer KE, Waterland MR, Rogers CW, Sano H, McIlwraith CW, Pemberton S, Owen M, Riley CB. (2022). Infrared spectroscopy of serum fails to identify early biomarker changes in an equine model of traumatic osteoarthritis. Osteoarthr Cartil Open, 4(4), 100297. https://doi.org/10.1016/j.ocarto.2022.100297

Publication

Osteoarthritis and cartilage open
ISSN: 2665-9131
NlmUniqueID: 101767068
Country: England
Language: English
Volume: 4
Issue: 4
Pages: 100297
PII: 100297

Researcher Affiliations

Panizzi, L
  • School of Veterinary Science, Massey University, Palmerston North, New Zealand.
Vignes, M
  • School of Mathematical and Computational Sciences, Massey University, Palmerston North, New Zealand.
Dittmer, K E
  • School of Veterinary Science, Massey University, Palmerston North, New Zealand.
Waterland, M R
  • School of Natural Sciences, Massey University, Palmerston North, New Zealand.
Rogers, C W
  • School of Veterinary Science, Massey University, Palmerston North, New Zealand.
  • School of Agriculture and Environment, Massey University, Palmerston North, New Zealand.
Sano, H
  • School of Veterinary Science, Massey University, Palmerston North, New Zealand.
McIlwraith, C W
  • Orthopaedic Research Center, C. Wayne McIlwraith Translational Medicine Institute, Colorado State University, School of Veterinary Medicine, Colorado, USA.
Pemberton, S
  • Vet 20/20, Palmerston North, New Zealand.
Owen, M
  • NZRadVet Ltd, Feilding, New Zealand.
Riley, C B
  • School of Veterinary Science, Massey University, Palmerston North, New Zealand.

Conflict of Interest Statement

One of the authors (C.W. McIlwraith) is the Chair of the New Zealand Equine Trust.

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Citations

This article has been cited 4 times.
  1. Panizzi L, Dittmer KE, Vignes M, Doucet JS, Gedye K, Waterland MR, Rogers CW, Sano H, McIlwraith CW, Riley CB. Plasma and Synovial Fluid Cell-Free DNA Concentrations Following Induction of Osteoarthritis in Horses. Animals (Basel) 2023 Mar 14;13(6).
    doi: 10.3390/ani13061053pubmed: 36978592google scholar: lookup
  2. Ab Aziz A, Anis Abd Halim NF, Abdullah Sani MS, Selvaratnam V, Tarhan I, Kamarul T. Preliminary Study for the Early Diagnosis of Osteoarthritis in Human Synovial Fluid Using ATR-FTIR Combined with Chemometrics. Arch Bone Jt Surg 2025;13(11):738-749.
    doi: 10.22038/ABJS.2025.83723.3810pubmed: 41509594google scholar: lookup
  3. Panizzi L, Vignes M, Dittmer KE, Waterland MR, Rogers CW, Sano H, McIlwraith CW, Riley CB. Infrared Spectroscopy of Synovial Fluid Shows Accuracy as an Early Biomarker in an Equine Model of Traumatic Osteoarthritis. Animals (Basel) 2024 Mar 22;14(7).
    doi: 10.3390/ani14070986pubmed: 38612225google scholar: lookup
  4. Wu X, Shuai W, Chen C, Chen X, Luo C, Chen Y, Shi Y, Li Z, Lv X, Chen C, Meng X, Lei X, Wu L. Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms. Front Immunol 2023;14:1328228.
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