ObjectiveThis paper aims to investigate the mechanism of Jinyang Dingtong plaster in improving the peripheral pain sensitization and synovial fibrosis in rats with knee osteoarthritis （KOA） by blocking the ion channels of transient receptor potentials （TRPs）. MethodsThe active components in the transdermal absorption solution of Jinyang Dingtong plaster were identified by using ultra-high performance liquid chromatography-electrospray ionization-quadrupole ion trap tandem mass spectrometry （UPLC-MS/MS） technology. A KOA rat model was established through intra-articular injection of monoiodoacetic acid. The rats were randomly divided into blank control group， KOA group， compound Nanxing Zhitong plaster Group， and Jinyang Dingtong plaster group， with eight rats per group. Among them， the rats in the compound Nanxing Zhitong plaster group and the Jinyang Dingtong plaster group were intervened with external application treatment. After the intervention period， the cold and mechanical stimulus pain thresholds of rats in each group were detected， and the transverse diameter of the knee joint was measured. The levels of inflammatory factors in the serum such as interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， nerve growth factor （NGF）， and calcitonin gene-related peptide （CGRP） were determined by enzyme-linked immunosorbent assay （ELISA）. Protein expression levels of transient receptor potential ankyrin 1 （TRPA1）， transient receptor potential melastatin 8 （TRPM8）， transient receptor potential vanilloid 1 （TRPV1）， transient receptor potential vanilloid 4 （TRPV4）， transforming growth factor-β （TGF-β）， and vascular endothelial growth factor （VEGF） in synovial tissue were detected by Western blot. Histopathological changes in synovial tissue were observed by using hematoxylin and eosin （HE）， Masson， and Sirius red staining， while the expression of type Ⅰ collagen and alpha-smooth muscle actin （α-SMA） was detected by multiplex immunofluorescence. ResultsA total of 35 active components in the transdermal absorption solution of Jinyang Dingtong plaster were identified by UPLC-MS/MS， including phenolic acids， flavonoids， quinones， alkaloids， terpenes， lignans， and coumarins. Among them， the constituents such as berberine， paeoniflorin， ferulic acid， and caffeic acid exhibit clear anti-inflammatory， analgesic， and anti-fibrotic pharmacological effects. Compared to the blank control group， rats in the KOA group showed a significant decrease in cold and mechanical stimuli pain thresholds （P<0.01）. After 14 and 28 days of Jinyang Dingtong plaster intervention， the pain threshold in this group was significantly increased compared to that in KOA group （P<0.01）， showing no significant difference from that in compound Nanxing Analgesic plaster group. Additionally， Jinyang Dingtong plaster reduced the levels of IL-1β， TNF-α， NGF， and CGRP in the serum of KOA rats （P<0.01）， lowered the expression of TRPA1， TRPM8， TRPV1， TRPV4， TGF-β， and VEGF proteins in synovial tissue （P<0.01）， improved synovial pathological damage in KOA rats， and significantly decreased fluorescence intensity of type Ⅰ collagen and α-SMA （P<0.01）. ConclusionJinyang Dingtong plaster can improve the peripheral pain sensitization and synovial fibrosis in KOA rats by downregulating the expression of ion channels of TRPs and related inflammatory and fibrotic factors.

ObjectiveThis paper aims to investigate the mechanism of Jinyang Dingtong plaster in improving the peripheral pain sensitization and synovial fibrosis in rats with knee osteoarthritis （KOA） by blocking the ion channels of transient receptor potentials （TRPs）. MethodsThe active components in the transdermal absorption solution of Jinyang Dingtong plaster were identified by using ultra-high performance liquid chromatography-electrospray ionization-quadrupole ion trap tandem mass spectrometry （UPLC-MS/MS） technology. A KOA rat model was established through intra-articular injection of monoiodoacetic acid. The rats were randomly divided into blank control group， KOA group， compound Nanxing Zhitong plaster Group， and Jinyang Dingtong plaster group， with eight rats per group. Among them， the rats in the compound Nanxing Zhitong plaster group and the Jinyang Dingtong plaster group were intervened with external application treatment. After the intervention period， the cold and mechanical stimulus pain thresholds of rats in each group were detected， and the transverse diameter of the knee joint was measured. The levels of inflammatory factors in the serum such as interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， nerve growth factor （NGF）， and calcitonin gene-related peptide （CGRP） were determined by enzyme-linked immunosorbent assay （ELISA）. Protein expression levels of transient receptor potential ankyrin 1 （TRPA1）， transient receptor potential melastatin 8 （TRPM8）， transient receptor potential vanilloid 1 （TRPV1）， transient receptor potential vanilloid 4 （TRPV4）， transforming growth factor-β （TGF-β）， and vascular endothelial growth factor （VEGF） in synovial tissue were detected by Western blot. Histopathological changes in synovial tissue were observed by using hematoxylin and eosin （HE）， Masson， and Sirius red staining， while the expression of type Ⅰ collagen and alpha-smooth muscle actin （α-SMA） was detected by multiplex immunofluorescence. ResultsA total of 35 active components in the transdermal absorption solution of Jinyang Dingtong plaster were identified by UPLC-MS/MS， including phenolic acids， flavonoids， quinones， alkaloids， terpenes， lignans， and coumarins. Among them， the constituents such as berberine， paeoniflorin， ferulic acid， and caffeic acid exhibit clear anti-inflammatory， analgesic， and anti-fibrotic pharmacological effects. Compared to the blank control group， rats in the KOA group showed a significant decrease in cold and mechanical stimuli pain thresholds （P<0.01）. After 14 and 28 days of Jinyang Dingtong plaster intervention， the pain threshold in this group was significantly increased compared to that in KOA group （P<0.01）， showing no significant difference from that in compound Nanxing Analgesic plaster group. Additionally， Jinyang Dingtong plaster reduced the levels of IL-1β， TNF-α， NGF， and CGRP in the serum of KOA rats （P<0.01）， lowered the expression of TRPA1， TRPM8， TRPV1， TRPV4， TGF-β， and VEGF proteins in synovial tissue （P<0.01）， improved synovial pathological damage in KOA rats， and significantly decreased fluorescence intensity of type Ⅰ collagen and α-SMA （P<0.01）. ConclusionJinyang Dingtong plaster can improve the peripheral pain sensitization and synovial fibrosis in KOA rats by downregulating the expression of ion channels of TRPs and related inflammatory and fibrotic factors.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Background/Aims: Early detection and effective prognosis prediction in patients with hepatocellular carcinoma (HCC) provide an avenue for survival improvement, yet more effective approaches are greatly needed. We sought to develop the detection and prognosis models with ultra-sensitivity and low cost based on fragmentomic features of circulating cell free mtDNA (ccf-mtDNA). Methods: Capture-based mtDNA sequencing was carried out in plasma cell-free DNA samples from 1168 participants, including 571 patients with HCC, 301 patients with chronic hepatitis B or liver cirrhosis (CHB/LC) and 296 healthy controls (HC). Results: The systematic analysis revealed significantly aberrant fragmentomic features of ccf-mtDNA in HCC group when compared with CHB/LC and HC groups. Moreover, we constructed a random forest algorithm-based HCC detection model by utilizing ccf-mtDNA fragmentomic features. Both internal and two external validation cohorts demonstrated the excellent capacity of our model in distinguishing early HCC patients from HC and highrisk population with CHB/LC, with AUC exceeding 0.983 and 0.981, sensitivity over 89.6% and 89.61%, and specificity over 98.20% and 95.00%, respectively, greatly surpassing the performance of alpha-fetoprotein (AFP) and mtDNA copy number. We also developed an HCC prognosis prediction model by LASSO-Cox regression to select 20 fragmentomic features, which exhibited exceptional ability in predicting 1-year, 2-year and 3-year survival (AUC=0.8333, 0.8145 and 0.7958 for validation cohort, respectively). Conclusions We have developed and validated a high-performing and low-cost approach in a large clinical cohort based on aberrant ccf-mtDNA fragmentomic features with promising clinical translational application for the early detection and prognosis prediction of HCC patients.

Tumor biomarkers have multiple characteristics, including noninvasive, repeatable analysis and real-time monitoring, and they have important application value in early diagnosis and prognosis monitoring of hepatocellular carcinoma (HCC). In recent years, the researches on tumor markers of HCC have developed rapidly. There are not only traditional serological tumor markers, such as alpha fetoprotein, des-gamma carboxy prothrombin, Golgi protein 73, glypican-3, etc., but also new emerging "liquid biopsy" tumor markers, such as circulating tumor cells, circulating tumor DNA etc. Further study on the correlation between tumor biomarkers and HCC can provide reference for the treatment and prognosis evaluation of HCC.

The incidence of colorectal cancer (CRC) is increasing year by year, and early diagnosis is of great significance to improve the prognosis of patients. Circulating cell-free nucleic acid (cfNA) has the advantages of non-invasive, real-time monitoring, and overcoming tumor heterogeneity. The characteristics of cfNA content, mutation, methylation and fragmentation patterns provid important reference value for early diagnosis, curative effect monitoring, prognosis judgment and medication guidance of CRC. However, the practical application of cfNA in the clinical diagnosis and treatment of CRC still needs to solve the problems of unstandardized detection technology, high detection cost, screening of markers with high diagnostic efficacy, and construction of multi-combination models. These challenges will provide new directions for future cfNA research.