Investigating cartilage-related diseases by polarization-resolved second harmonic generation (P-SHG) imaging

Author:

Makkithaya Kausalya Neelavara1ORCID,Mazumder Nirmal1ORCID,Wang Wei-Hsun2ORCID,Chen Wei-Liang3ORCID,Chen Ming-Chi2ORCID,Lee Ming-Xin2ORCID,Lin Chin-Yu4ORCID,Yeh Yung-Ju5ORCID,Tsay Gregory J.67ORCID,Chopperla Sitaram8ORCID,Mahato Krishna Kishore1ORCID,Kao Fu-Jen9ORCID,Zhuo Guan-Yu2ORCID

Affiliation:

1. Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education 1 , Manipal, Karnataka 576104, India

2. Institute of Translational Medicine and New Drug Development, China Medical University 2 , Taichung 404328, Taiwan

3. Center for Condensed Matter Sciences, National Taiwan University 3 , Taipei 10617, Taiwan

4. Department of Biomedical Sciences and Engineering, Tzu Chi University 4 , Hualien 97004, Taiwan

5. Autoimmune Disease Laboratory, China Medical University Hospital 5 , Taichung 404327, Taiwan

6. School of Medicine, China Medical University 6 , Taichung 404328, Taiwan

7. Division of Immunology and Rheumatology, Department of Internal Medicine, China Medical University Hospital 7 , Taichung 404327, Taiwan

8. Department of Orthopedics, Kasturba Medical College, Manipal Academy of Higher Education 8 , Manipal, Karnataka 576104, India

9. Institute of Biophotonics, National Yang Ming Chiao Tung University 9 , Taipei 11221, Taiwan

Abstract

Establishing quantitative parameters for differentiating between healthy and diseased cartilage tissues by examining collagen fibril degradation patterns facilitates the understanding of tissue characteristics during disease progression. These findings could also complement existing clinical methods used to diagnose cartilage-related diseases. In this study, cartilage samples from normal, osteoarthritis (OA), and rheumatoid arthritis (RA) tissues were prepared and analyzed using polarization-resolved second harmonic generation (P-SHG) imaging and quantitative image texture analysis. The enhanced molecular contrast obtained from this approach is expected to aid in distinguishing between healthy and diseased cartilage tissues. P-SHG image analysis revealed distinct parameters in the cartilage samples, reflecting variations in collagen fibril arrangement and organization across different pathological states. Normal tissues exhibited distinct χ33/χ31 values compared with those of OA and RA, indicating collagen type transition and cartilage erosion with chondrocyte swelling, respectively. Compared with those of normal tissues, OA samples demonstrated a higher degree of linear polarization, suggesting increased tissue birefringence due to the deposition of type-I collagen in the extracellular matrix. The distribution of the planar orientation of collagen fibrils revealed a more directional orientation in the OA samples, associated with increased type-I collagen, while the RA samples exhibited a heterogeneous molecular orientation. This study revealed that the imaging technique, the quantitative analysis of the images, and the derived parameters presented in this study could be used as a reference for disease diagnostics, providing a clear understanding of collagen fibril degradation in cartilage.

Funder

National Science and Technology Council

Department of Science and Technology, Ministry of Science and Technology, India

Indian Council of Medical Research

Publisher

AIP Publishing

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