Objective: Early and accurate evaluation of the presence and activity of synovitis is extremely important in the diagnosis and treatment of rheumatoid arthritis. Myeloid related protein 8/14 (MRP8/14), also known as c...Objective: Early and accurate evaluation of the presence and activity of synovitis is extremely important in the diagnosis and treatment of rheumatoid arthritis. Myeloid related protein 8/14 (MRP8/14), also known as calprotectin or S100A8/A9 is considered as a sensitive marker for local inflammatory activity in rheumatoid arthritis. The aim of this study is to demonstrate the efficacy of MRP8/14 as a marker of disease activity in RA. Methods: Thirty-one patients with diagnosis of RA who received treatment without biological drugs at our institution were included in this study. Serum MRP8/14, CRP and MMP-3 were tested in all patients. Disease activity was evaluated using DAS28-CRP and SDAI. Ultrasonography was performed on the wrists and MCP joints of both hands using semi-quantitative scale of power Doppler signal. The sum of scales in joints was calculated as the PD score. The correlation of MRP8/14 with serum biomarkers, disease activity and ultrasonography examination was investigated. Result: Serum MRP8/14 was strongly correlated with CRP (r = 0.63) and MMP-3 (r = 0.69). A correlation was observed between serum MRP8/14 and DAS28-CRP (r = 0.53) and SDAI (r = 0.66). No significant correlation was found between PD scores and MRP8/14. Conclusion: This study demonstrated that MRP8/14 is correlated with evaluated disease activity and markers of serum inflammatory response in patients not using biological drugs. MRP8/14 is considered an effective new method for objective evaluation of synovitis in RA.展开更多
BACKGROUND Colorectal cancer(CRC) is an important disease worldwide, accounting for the second highest number of cancer-related deaths and the third highest number of new cancer cases. The blood test is a simple and m...BACKGROUND Colorectal cancer(CRC) is an important disease worldwide, accounting for the second highest number of cancer-related deaths and the third highest number of new cancer cases. The blood test is a simple and minimally invasive diagnostic test. However, there is currently no blood test that can accurately diagnose CRC.AIM To develop a comprehensive, spontaneous, minimally invasive, label-free, bloodbased CRC screening technique based on Raman spectroscopy.METHODS We used Raman spectra recorded using 184 serum samples obtained from patients undergoing colonoscopies. Patients with malignant tumor histories as well as those with cancers in organs other than the large intestine were excluded. Consequently, the specific diseases of 184 patients were CRC(12), rectal neuroendocrine tumor(2), colorectal adenoma(68), colorectal hyperplastic polyp(18), and others(84). We used the 1064-nm wavelength laser for excitation. The power of the laser was set to 200 mW.RESULTS Use of the recorded Raman spectra as training data allowed the construction of a boosted tree CRC prediction model based on machine learning. Therefore, the generalized R^2 values for CRC, adenomas, hyperplastic polyps, and neuroendocrine tumors were 0.9982, 0.9630, 0.9962, and 0.9986, respectively.CONCLUSION For machine learning using Raman spectral data, a highly accurate CRC prediction model with a high R^2 value was constructed. We are currently planning studies to demonstrate the accuracy of this model with a large amount of additional data.展开更多
文摘Objective: Early and accurate evaluation of the presence and activity of synovitis is extremely important in the diagnosis and treatment of rheumatoid arthritis. Myeloid related protein 8/14 (MRP8/14), also known as calprotectin or S100A8/A9 is considered as a sensitive marker for local inflammatory activity in rheumatoid arthritis. The aim of this study is to demonstrate the efficacy of MRP8/14 as a marker of disease activity in RA. Methods: Thirty-one patients with diagnosis of RA who received treatment without biological drugs at our institution were included in this study. Serum MRP8/14, CRP and MMP-3 were tested in all patients. Disease activity was evaluated using DAS28-CRP and SDAI. Ultrasonography was performed on the wrists and MCP joints of both hands using semi-quantitative scale of power Doppler signal. The sum of scales in joints was calculated as the PD score. The correlation of MRP8/14 with serum biomarkers, disease activity and ultrasonography examination was investigated. Result: Serum MRP8/14 was strongly correlated with CRP (r = 0.63) and MMP-3 (r = 0.69). A correlation was observed between serum MRP8/14 and DAS28-CRP (r = 0.53) and SDAI (r = 0.66). No significant correlation was found between PD scores and MRP8/14. Conclusion: This study demonstrated that MRP8/14 is correlated with evaluated disease activity and markers of serum inflammatory response in patients not using biological drugs. MRP8/14 is considered an effective new method for objective evaluation of synovitis in RA.
基金the Japanese Society for the Promotion of Science (JSPS),based on the JSPS KAKENHI Grants-in-Aid for Scientific Research (C),No. JP17K09022。
文摘BACKGROUND Colorectal cancer(CRC) is an important disease worldwide, accounting for the second highest number of cancer-related deaths and the third highest number of new cancer cases. The blood test is a simple and minimally invasive diagnostic test. However, there is currently no blood test that can accurately diagnose CRC.AIM To develop a comprehensive, spontaneous, minimally invasive, label-free, bloodbased CRC screening technique based on Raman spectroscopy.METHODS We used Raman spectra recorded using 184 serum samples obtained from patients undergoing colonoscopies. Patients with malignant tumor histories as well as those with cancers in organs other than the large intestine were excluded. Consequently, the specific diseases of 184 patients were CRC(12), rectal neuroendocrine tumor(2), colorectal adenoma(68), colorectal hyperplastic polyp(18), and others(84). We used the 1064-nm wavelength laser for excitation. The power of the laser was set to 200 mW.RESULTS Use of the recorded Raman spectra as training data allowed the construction of a boosted tree CRC prediction model based on machine learning. Therefore, the generalized R^2 values for CRC, adenomas, hyperplastic polyps, and neuroendocrine tumors were 0.9982, 0.9630, 0.9962, and 0.9986, respectively.CONCLUSION For machine learning using Raman spectral data, a highly accurate CRC prediction model with a high R^2 value was constructed. We are currently planning studies to demonstrate the accuracy of this model with a large amount of additional data.
