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Ab Aziz, Atiqah, Abd Halim, Nur Farah Anis, Abdullah Sani, Muhamad Shirwan, Selvaratnam, Veenesh, Tarhan, Ismail, Kamarul, Tunku. (1404). Preliminary Study for the Early Diagnosis of Osteoarthritis in Human Synovial Fluid Using ATR-FTIR Combined with Chemometrics. , 13(11), 738-749. doi: 10.22038/abjs.2025.83723.3810
Atiqah Ab Aziz; Nur Farah Anis Abd Halim; Muhamad Shirwan Abdullah Sani; Veenesh Selvaratnam; Ismail Tarhan; Tunku Kamarul. "Preliminary Study for the Early Diagnosis of Osteoarthritis in Human Synovial Fluid Using ATR-FTIR Combined with Chemometrics". , 13, 11, 1404, 738-749. doi: 10.22038/abjs.2025.83723.3810
Ab Aziz, Atiqah, Abd Halim, Nur Farah Anis, Abdullah Sani, Muhamad Shirwan, Selvaratnam, Veenesh, Tarhan, Ismail, Kamarul, Tunku. (1404). 'Preliminary Study for the Early Diagnosis of Osteoarthritis in Human Synovial Fluid Using ATR-FTIR Combined with Chemometrics', , 13(11), pp. 738-749. doi: 10.22038/abjs.2025.83723.3810
Ab Aziz, Atiqah, Abd Halim, Nur Farah Anis, Abdullah Sani, Muhamad Shirwan, Selvaratnam, Veenesh, Tarhan, Ismail, Kamarul, Tunku. Preliminary Study for the Early Diagnosis of Osteoarthritis in Human Synovial Fluid Using ATR-FTIR Combined with Chemometrics. , 1404; 13(11): 738-749. doi: 10.22038/abjs.2025.83723.3810

Preliminary Study for the Early Diagnosis of Osteoarthritis in Human Synovial Fluid Using ATR-FTIR Combined with Chemometrics

The Archives of Bone and Joint Surgery
مقاله 9، دوره 13، شماره 11، بهمن 2025، صفحه 738-749    اصل مقاله (893.17 K)
نوع مقاله: RESEARCH PAPER
شناسه دیجیتال (DOI): 10.22038/abjs.2025.83723.3810
نویسندگان
Atiqah Ab Aziz* 1؛ Nur Farah Anis Abd Halim2؛ Muhamad Shirwan Abdullah Sani3؛ Veenesh Selvaratnam4؛ Ismail Tarhan5؛ Tunku Kamarul* 6
1University Malaya, Tissue Engineering Group (TEG), National Orthopaedic Centre of Excellence for Research and Learning (NOCERAL), Department of Orthopaedic Surgery, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
2University of Putra Malaysia, Spine Research Unit (SRU), National Orthopaedic Centre of Excellence for Research and Learning (NOCERAL), Department of Orthopaedic Surgery, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
3University of Putra Malaysia, International Institute for Halal Research and Training, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia
4Royal College of Surgeons, Edinburgh, Joint Reconstruction Unit (JRU), National Orthopaedic Centre of Excellence in Research and Learning (NOCERAL), Department of Orthopaedic Surgery, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
5Selçuk University, Konya, Department of Biochemistry, Selcuk University, Ardıçlı, İsmetpaşa Cad, Selçuklu/Konya, Türkiye
6Liverpool University, Tissue Engineering Group (TEG), National Orthopaedic Centre of Excellence for Research and Learning (NOCERAL), Department of Orthopaedic Surgery, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
چکیده
Objectives: Osteoarthritis (OA) is the most common form of arthritis resulting in joint deterioration. Currently, OA treatment primarily focuses on symptom management. The development of tools suitable for diagnosis is needed to support a paradigm shift towards the prevention of OA rather than treatment. Therefore, having effective diagnostic tools for early detection of OA is crucial.
Methods: The present study aimed to develop a rapid, inexpensive, and reliable detection method using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy and chemometrics using synovial fluid (SF) for the early diagnosis of osteoarthritis (OA). A preliminary sample consisting of 10 participants in the OA group and 10 in the non-OA group was used to establish the feasibility of the method. All synovial fluid samples were handled uniformly, using fresh drops of 50 µL from each sample ten times, resulting in a total of 200 infrared spectra collected and analysed, revealing significant differences that effectively separated the OA and non-OA groups, demonstrating the potential of this approach for future larger-scale studies.
Results: A significant discrepancy seen in distinguishing SF samples from different categories via variance spectra specifically highlighted by wavenumber 551 cm-1. The predictive model achieved an accuracy rate of 85%, demonstrating promising results.
Conclusion: Our findings suggest that a discriminative model using the ATR-FTIR spectrum could enhance early diagnosis of human OA, providing superior results compared to using serum. This approach reflects the localized joint condition more accurately than serum, which reflects systemic condition.
        Level of evidence: IV
کلیدواژه‌ها
Chemometrics؛ FTIR؛ Infrared spectroscopy؛ Osteoarthritis؛ Synovial fluid
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