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Analysis of synovial fluid in knee joint of osteoarthritis:5 proteome patterns of joint inflammation based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

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Abstract

Purpose

The purpose of this study was to use matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) in osteoarthritis research. Our aim was to find differentially expressed disease-related and condition-specific peptide in synovial fluid in the knee joint of patients suffering from osteoarthritis (OA), and to develop and validate the peptide classification model for OA diagnosis.

Methods

Based on the American College of Rheumatology criteria, 30 OA cases and ten healthy donors were enrolled and underwent analysis. Magnetic beads-based weak cation exchange chromatography (MB-WCX) was performed for sample processing, and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) was conducted for peptide profile. ClinProt software 2.2 was used for data analysis and a genetic algorithm was created for class prediction.

Results

Two peptide peaks were found which may be characterised as the potential diagnostic markers for OA. Two other significantly different peptide peaks were found in OA patients at a medium stage compared to the early and late stages. A genetic algorithm (GA) was used to establish differential diagnosis models of OA. As a result, the algorithm models marked 100% of OA, and of 97.92% of medium-stage OA.

Conclusion

This study demonstrated that use of proteomics methods to identify potential biomarkers of OA is possible, and the identified potential biomarkers may be potential markers for diagnosis and monitoring the progression of OA.

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Acknowledgments

We thank the patients for donating the samples to the study, and the hospital staff who made this study possible. We thank Dr. Dai in the Clinical Medical Research Centre and the other members of his laboratory team for the processing of patient samples. In addition, we thank all of the study group members: Liling Huang, Yong Dai, Jiakai Chen, Xiaofen Chen (Department of Orthopedics and Traumatology, The Second Clinical Medical College of Jinan University, Shenzhen, Guangdong Province, China).

Author contributions

All authors were involved in drafting the article or revising it critically for important intellectual content, and all authors approved the final version to be published. Dr. Dai had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study conception and design: Xiaohua Pan and Yong Dai. Acquisition of data: Xiaohua Pan, Jiakai Chen, and Xiaofen Chen. Analysis and interpretation of data: Xiaohua Pan and Liling Huang.

Competing interests

The authors have declared that no competing interests exist.

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Authors and Affiliations

  1. Department of Orthopedics and Traumatology, The Second Clinical Medical College of Jinan University (Shenzhen People’s Hospital), Shenzhen, 518020, Guangdong Province, People’ Republic of China

    Xiaohua Pan, Jiakai Chen & Xiaofen Chen

  2. Clinical Medical Research Center, The Second Clinical Medical College of Jinan University (Shenzhen People’s Hospital), Shenzhen, 518020, Guangdong Province, People’s Republic of China

    Liling Huang & Yong Dai

Authors
  1. Xiaohua Pan
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  2. Liling Huang
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Corresponding author

Correspondence to Yong Dai.

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Pan, X., Huang, L., Chen, J. et al. Analysis of synovial fluid in knee joint of osteoarthritis:5 proteome patterns of joint inflammation based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. International Orthopaedics (SICOT) 36, 57–64 (2012). https://doi.org/10.1007/s00264-011-1258-y

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