ObjectiveTo construct an automatic measurement model for palmar tilt and radial inclination suitable for traditional Chinese medicine （TCM） clinical scenarios， and to validate its accuracy and efficiency in TCM manipulative reduction settings. MethodsData on anteroposterior （AP） and lateral X-rays of distal radius fractures were collected from patients admitted to 18 TCM/ integrated TCM and western medicine hospitals in Jiangsu province between September 1st， 2023， and September 1st， 2024， via the Jiangsu Diagnosis and Treatment Big Data Platform for TCM Dominant Diseases. A medical image segmentation framework based on multi-scale feature fusion and edge-awareness was employed， combined with anatomical knowledge specific to TCM orthopedics， to optimize the feature extraction strategy of an artificial intelligence （AI） model. This framework enabled automatic segmentation of fracture regions and measurement of distal radius palmar tilt and radial inclination. The accuracy of the AI model in measuring radial inclination and volar tilt was validated， and the measurement time and average time gain rate of the AI model were compared to those of manual measurement. ResultsA total of 15,444 AP and lateral X-ray images of distal radius fractures were collected， and were divided into a training set （11,144 images， 5066 AP and 6078 lateral）， a validation set （3700 images， 1840 AP and 1860 lateral）， and an independent test set （600 images， 300 AP and 300 lateral） after preprocessing. In the measurement of 300 AP X-rays in the independent test set for radial inclination， when the degree error between AI measurement and manual measurement was ＜3° and ＜5°， AI measurement accuracy was 83% and 93%， respectively. In 300 lateral X-rays in the test set for palmar tilt， when AI measurements had an error of ＜3° and ＜5° compared to manual measurements， corresponding accuracy rate was 78% and 90%， respectively. For 50 X-ray images， AI measurement time was （1.37±0.05） min for radial inclination while manual measurement time was （22.57±2.52） min （P＜0.001）； in terms of palmar tilt， the AI measurement time was （1.33±0.14） min， shorter than （23.70±2.80） min for manual measurement time （P＜0.001）. Average time gain rates for manual and AI measurements were 93.93% and 94.39% respectively. ConclusionAn automatic measurement model for palmar tilt and radial inclination in distal radius fractures has been established， enabling more accurate and efficient assessment as well as providing a tool to support the quantitative evaluation of the efficacy of TCM manipulative reduction and large-sample clinical research.

The initiation of adaptive immune responses relies on the precise recognition and interpretation of antigenic information. In this process, the specific binding of T cell receptors (TCRs) to peptide-major histocompatibility complex (pMHC) molecules represents one of the key molecular events in the initiation of adaptive immune responses. Accordingly, the structural features of TCR-pMHC complexes provide a fundamental basis for dissecting antigen recognition mechanisms and support rational vaccine design, therapeutic target discovery in TCR-based immunotherapy, and TCR identification and optimization. However, experimental determination of TCR-pMHC structures remains costly, time-consuming, and limited in coverage, making computational approaches essential for rapidly obtaining reliable structural information. Computational methods for predicting the structures of TCR-pMHC complexes have advanced rapidly in recent years, driven by progress in deep learning-based modeling frameworks and the increasing availability of structural and sequence resources. Despite these developments, most existing tools do not adequately distinguish the key structural and biophysical differences between MHC class I (MHC-I) and MHC class II (MHC-II) complexes during model construction. As a consequence, their predictive performance differs substantially between class I and class II complexes. In general, structural predictions for class I complexes outperform those for class II complexes. This discrepancy may be related to several fundamental differences between the two systems, including the architecture of the peptide-binding groove, the distribution of peptide lengths, and the properties of peptide flanking residues (PFRs). Compared with MHC-I molecules, MHC-II molecules usually bind longer antigenic peptides, which typically range from 13 to 25 amino acids in length. PFRs at both termini of these peptides participate in regulating the overall conformation of TCR-pMHC class II complexes and exert a pronounced effect on the geometric and physicochemical characteristics of the TCR-pMHC binding interface. Furthermore, within the TCR recognition interface, the complementarity-determining regions (CDRs) consist of segments that differ markedly in conformational behavior. They commonly include regions that are relatively rigid and structurally stable, together with highly flexible segments exhibiting substantial conformational plasticity. These rigidity-flexibility features constitute an essential structural basis enabling TCRs to recognize diverse peptide-MHC ligands and to accommodate conformational heterogeneity at the interface. However, many current modeling tools, in an effort to enforce global conformational stability or reduce structural noise, tend to over-constrain intrinsically flexible regions. Such oversimplification may lead to inappropriate rigidification of flexible CDR loops, resulting in local structural distortions, compromised interface geometry, or even complete modeling failure for specific complexes. Against this background, the review approaches the field from the perspective of computational differences between MHC-I and MHC-II complexes. We first systematically organize and summarize available resources related to TCRs and pMHCs, including structural datasets, sequence databases, prediction tools, and benchmarking studies. We then focus on five representative tools capable of predicting both class I and class II complexes—AlphaFold2, AlphaFold3, TCRmodel2, tFold-TCR, and TCR-pHLA_ModellerS. After excluding structures present in the training sets of these tools, we constructed a benchmark dataset comprising 25 class I and 10 class II TCR-pMHC complexes in the bound state and conducted a systematic evaluation using this dataset. We first employ widely used general evaluation metrics, including All-Atom Root Mean Square Deviation (All-Atom RMSD), Backbone RMSD, Template Modeling score (TM-score), and DockQ, to assess the global conformational accuracy and interface modeling quality of class I and class II complexes. For class II complexes, we propose for the first time a peptide flanking residue deviation index, including the PFRs-Deviation Index (PFRs-DI), N-PFR-Deviation Index (N-PFR-DI), and C-PFR-Deviation Index (C-PFR-DI), to quantitatively characterize conformational deviations in PFRs. In addition, we propose the CDR conformational consistency index (CCC) designed to qualitatively evaluate the ability of prediction tools to capture TCR CDR conformational flexibility. These metrics collectively assess a tool’s ability to model both overall conformation and critical functional regions, thereby addressing the limitations of existing evaluation criteria that overemphasize global structure while inadequately capturing modeling quality in key functional areas. This establishes a unified analytical framework for MHC-I and MHC-II complexes to guide data resource selection, modeling strategy formulation, and evaluation system development. The framework further advances computational modeling and provides crucial support for multi-scale analysis of TCR-pMHC recognition mechanisms and their biological functions.

The initiation of adaptive immune responses relies on the precise recognition and interpretation of antigenic information. In this process, the specific binding of T cell receptors (TCRs) to peptide-major histocompatibility complex (pMHC) molecules represents one of the key molecular events in the initiation of adaptive immune responses. Accordingly, the structural features of TCR-pMHC complexes provide a fundamental basis for dissecting antigen recognition mechanisms and support rational vaccine design, therapeutic target discovery in TCR-based immunotherapy, and TCR identification and optimization. However, experimental determination of TCR-pMHC structures remains costly, time-consuming, and limited in coverage, making computational approaches essential for rapidly obtaining reliable structural information. Computational methods for predicting the structures of TCR-pMHC complexes have advanced rapidly in recent years, driven by progress in deep learning-based modeling frameworks and the increasing availability of structural and sequence resources. Despite these developments, most existing tools do not adequately distinguish the key structural and biophysical differences between MHC class I (MHC-I) and MHC class II (MHC-II) complexes during model construction. As a consequence, their predictive performance differs substantially between class I and class II complexes. In general, structural predictions for class I complexes outperform those for class II complexes. This discrepancy may be related to several fundamental differences between the two systems, including the architecture of the peptide-binding groove, the distribution of peptide lengths, and the properties of peptide flanking residues (PFRs). Compared with MHC-I molecules, MHC-II molecules usually bind longer antigenic peptides, which typically range from 13 to 25 amino acids in length. PFRs at both termini of these peptides participate in regulating the overall conformation of TCR-pMHC class II complexes and exert a pronounced effect on the geometric and physicochemical characteristics of the TCR-pMHC binding interface. Furthermore, within the TCR recognition interface, the complementarity-determining regions (CDRs) consist of segments that differ markedly in conformational behavior. They commonly include regions that are relatively rigid and structurally stable, together with highly flexible segments exhibiting substantial conformational plasticity. These rigidity-flexibility features constitute an essential structural basis enabling TCRs to recognize diverse peptide-MHC ligands and to accommodate conformational heterogeneity at the interface. However, many current modeling tools, in an effort to enforce global conformational stability or reduce structural noise, tend to over-constrain intrinsically flexible regions. Such oversimplification may lead to inappropriate rigidification of flexible CDR loops, resulting in local structural distortions, compromised interface geometry, or even complete modeling failure for specific complexes. Against this background, the review approaches the field from the perspective of computational differences between MHC-I and MHC-II complexes. We first systematically organize and summarize available resources related to TCRs and pMHCs, including structural datasets, sequence databases, prediction tools, and benchmarking studies. We then focus on five representative tools capable of predicting both class I and class II complexes—AlphaFold2, AlphaFold3, TCRmodel2, tFold-TCR, and TCR-pHLA_ModellerS. After excluding structures present in the training sets of these tools, we constructed a benchmark dataset comprising 25 class I and 10 class II TCR-pMHC complexes in the bound state and conducted a systematic evaluation using this dataset. We first employ widely used general evaluation metrics, including All-Atom Root Mean Square Deviation (All-Atom RMSD), Backbone RMSD, Template Modeling score (TM-score), and DockQ, to assess the global conformational accuracy and interface modeling quality of class I and class II complexes. For class II complexes, we propose for the first time a peptide flanking residue deviation index, including the PFRs-Deviation Index (PFRs-DI), N-PFR-Deviation Index (N-PFR-DI), and C-PFR-Deviation Index (C-PFR-DI), to quantitatively characterize conformational deviations in PFRs. In addition, we propose the CDR conformational consistency index (CCC) designed to qualitatively evaluate the ability of prediction tools to capture TCR CDR conformational flexibility. These metrics collectively assess a tool’s ability to model both overall conformation and critical functional regions, thereby addressing the limitations of existing evaluation criteria that overemphasize global structure while inadequately capturing modeling quality in key functional areas. This establishes a unified analytical framework for MHC-I and MHC-II complexes to guide data resource selection, modeling strategy formulation, and evaluation system development. The framework further advances computational modeling and provides crucial support for multi-scale analysis of TCR-pMHC recognition mechanisms and their biological functions.

Objective To construct an index system for assessment of schistosomiasis transmission risk following natural disasters such as rainstorms, floods, earthquakes, mudslides, and landslides, so as to provide insights into rapid identification of schistosomiasis transmission risk post-disasters and formulation of targeted schistosomiasis control strategies. Methods An initial framework for the index system for assessment of schistosomiasis transmission risk following natural disasters was drafted through literature review, brainstorming, and focus group discussions. Two rounds of expert correspondence consultations were conducted using the Delphi method to refine and finalize the system, and the degrees of expert activeness, authority and endorse ment, and consensus were evaluated. In addition, the weights of each index were calculated using the analytic hierarchy process. Results A total of 18 experts participated in the consultation. The expert positive coefficients were 100.00% and 94.44% for two rounds of consultations, with authority coefficients of 0.92 and 0.94, respectively. The coefficients of coordination on the index importance, rationality and operability were 0.209, 0.185, 0.222 and 0.407, 0.214, 0.257 for two rounds of consultations, respectively, and all consistency tests were statistically significant (χ² = 246.771 to 505.278, all P values < 0.001). Following two rounds of expert consultations, an index system consisting of 6 first-level indicators, 15 second-level indicators, and 49 third-level indicators was ultimately constructed. In terms of first-level indicators, “disaster situation”, “previous epidemics”, “healthcare guarantee”, “response capacity” and “emergency recovery” had the highest weights, each at 18.18%. Regarding second-level indicators, “Schistosoma japonicum infections in animals”, “S. japonicum infections in snails” and “medical treatment” had the highest weights, each at 7.35%. In terms of third-level indicators, ten items had the highest weights, including “identification of schistosomiasis cases”, “detection of S. japonicum infections in wild feces”, “detection of S. japonicum infections in snails”, “reserves of schistosomiasis diagnostic/testing reagents and consumables”, “reserves of chemotherapy agents for human and animal schistosomiasis”, “reserves of cercariacides”, “periodical surveillance on schistosomiasis”, “identification of schistosomiasis transmission risk and timely response”, “normal provision of diagnosis and treatment services” and “post-disaster schistosomiasis surveillance”, each at 2.40%. Conclusion A scientific, systematic, and practical index system has been constructed for assessment of schistosomiasis transmission risk following natural disasters, which may provide insights into rapid post-disaster identification of schistosomiasis transmission risk, formulation of targeted schistosomiasis control strategies and optimization of resource allocation.

Objective: To investigate the association between brain and muscle Arnt like protein 1( BMAL 1) gene and ambulatory blood pressure (ABP) parameters in college students, and to explore the influence of the interaction between the gene and weight status on the ABP levels, so as to provide reference for early prevention of chronic cardiovascular diseases related to hypertension. Methods: During September 2022 to June 2024, a total of 510 college students were recruited from a university in Changsha, China for on site questionnaire investigation, physical examination, ABP monitoring and genotyping testing. Multiple linear regression method was used to explore the association between the BMAL 1 gene and ABP indicators. An interaction term was included in the general linear model of multiple linear regression to analyze the interactive effects of BMAL 1 gene polymorphisms and weight status on ABP levels. Results: The prevalence of abnormal 24 hour blood pressure, abnormal daytime blood pressure, and abnormal nighttime blood pressure were 3.3%, 3.1%, and 3.9%, respectively. Multiple linear regression analysis showed that the BMAL 1/rs7950226 polymorphism was positively correlated with the 24 hour diastolic blood pressure(DBP) and the daytime DBP level after adjusting for gender, age, and body mass index( β =0.87,0.99, both P <0.05). Also, interaction between BMAL 1/ rs 11022775 and weight status on the nighttime DBP level ( P interaction =0.03) was found. The CC genotype carriers had significantly higher nighttime DBP level ( β =3.52, P <0.05) among overweight/obesity college students, but no differences in nocturnal DBP levels were observed between CC genotype carriers and TT+CT genotype carriers among college students with normal body weight( P > 0.05). Conclusions The rs 7950226 polymorphism is associated with 24 hours DBP and daytime DBP levels. Significant interaction between rs 11022775 with weight status on the nighttime DBP level is found among college students.

Objective To explore the effect of microRNA-381-3p(miR-381-3p)/MuRF1 axis on cardiopulmonary injury in hypoxia-induced pulmonary hypertension(HPH)mice and its potential mechanisms.Methods Sixty mice were randomly assigned to four groups:the normal control group(NC),the hypobaric hypoxia-induced pulmonary hypertension(HPH)group,the HPH+agomir control group and the HPH+miR-381-3p agomir analog group(HPH+miR-381-3p agomir),with 15 mice in each group.The HPH mouse model was established using a low-pressure and hypoxic artificial chamber.Three weeks prior to the establishment of the HPH model,miR-381-3p agomir and its corresponding control agomir were prepared by dissolving them in RNA-free phosphate-buffered saline(PBS)according to the experimental requirements.These solutions were administered via tail vein injection at a dose of 10 mg/kg,twice weekly for three consecutive weeks.Right heart function was assessed using echocardiography.Right ventricular systolic pressure(RVSP)was measured via cardiac catheterization.Pulmonary vascular remodeling was evaluated through hematoxylin and eosin(HE)staining.Levels of inflammatory cytokines in bronchoalveolar lavage fluid were quantified using enzyme-linked immunosorbent assay(ELISA).Real-time quantitative fluorescent PCR(RT-qPCR)was employed to analyze the mRNA expression levels of miR-381-3p and MuRF1.Potential targets of miR-381-3p were predicted,and pathway enrichment analysis was conducted.A dual-luciferase reporter gene assay was performed to confirm the direct regulatory effect of miR-381-3p on MuRF1.Results Compared with the NC group,the mRNA expression of miR-381-3p was significantly decreased in both the HPH group and the HPH+agomir control group,whereas the mRNA expression of MuRF1 was significantly increased(P＜0.05).In contrast,compared with the HPH group and the HPH+agomir control group,the mRNA expression of miR-381-3p was significantly increased in the HPH+miR-381-3p agomir group,while the mRNA expression of MuRF1 was significantly decreased(P＜0.05).Additionally,compared with the NC group,RVSP,right ventricular anterior wall thickness(RVAW),right ventricular hypertrophy index(RVHI),right ventricular collagen volume fraction(CVF),distal pulmonary artery wall thickness ratio(WT),pulmonary artery wall area ratio(WA),as well as IL-1β,IL-6 and TNF-α levels in alveolar lavage fluid were significantly increased in the HPH group and the HPH+agomir control group,whereas the right ventricular diameter(RVID)was significantly decreased(P＜0.05).Conversely,compared with the HPH group and the HPH+agomir control group,RVSP,RVAW,RVHI,right ventricular CVF,WT,Wa and RVID were decreased in the HPH+miR-381-3p agomir group,and IL-1β,IL-6,and TNF-α levels of alveolar lavage fluid were significantly decreased(P＜0.05).Furthermore,the downstream target genes of miR-381-3p were predicted in the database,and MuRF1 was a potential target,and the Cytoskeleton in muscle cells ranked first in the significant enrichment of target genes.Compared with WT-MuRF1+mimic control group,the luciferase activity was decreased in the WT-MuRF1+miR-381-3p mimic group(P＜0.05).There was no significant difference in the luciferase activity between the Mut-MuRF1+mimic control group and the Mut-MuRF1+miR-381-3p mimic group.Conclusion Overexpression of miR-381-3p can improve cardiopulmonary injury in HPH mice,and the mechanism may be related to the targeted inhibition of MuRF1 by miR-381-3p.

Objective:To study echinococcosis in the population and canine Echinococcus infection in Yushu City, Qinghai Province, and to explore the current epidemic situation and main transmission species of Echinococcus. Methods:In June 2023, a multi-stage sampling method was used to select 2 villages each in Shanglaxiu Township and Longbao Town, Yushu City, Qinghai Province. Each village included at least 100 permanent residents who had lived locally for at least 1 year and were 2 years old or older as the survey subjects. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum antibodies against Echinococcus larvae in the population, and B-mode ultrasound was used for abdominal organ scanning. Meanwhile, on the main roads of Shanglaxiu Township and Longbao Town, canine feces were collected in designated areas at intervals. ELISA was used to detect the antigen of canine fecal Echinococcus, and PCR was used to detect the types of parasites ( Echinococcus multilocularis, Echinococcus granulosus and Echinococcus shiquicus). Results:A total of 511 residents were investigated in Yushu City, and the positive rate of serum Echinococcus larvae antibodies in the population was 26.22% (134/511), and the detection rate of echinococcosis B-mode ultrasound was 1.37% (7/511). Among them, the detection rates of B-mode ultrasound for cystic echinococcosis (CE) and alveolar echinococcosis (AE) were 1.17% (6/511) and 0.20% (1/511), respectively. The positive rate of Echinococcus antigen in 543 canine feces detected by ELISA was 12.89% (70/543). PCR was used to test 497 canine feces, and the detection rate of Echinococcus was 3.02% (15/497). Among them, the detection rate of Echinococcus multilocularis was higher than that of Echinococcus granulosus [2.82% (14/497) vs 0.20% (1/497)], and the difference was statistically significant (χ 2 = 11.44, P < 0.001). No Echinococcus shiquicus was detected. Conclusions:The positive rates of Echinococcus larvae antibodies in the population and canine Echinococcus antigen in Yushu City, Qinghai Province are both relatively high. There is a mixed epidemic of CE and AE, with Echinococcus multilocularis being the main species.

Objective:To investigate the completion rate of tumor evaluation at initial assessment and after neoadjuvant therapy for mid and low rectal cancer patients in the national multicenter real-world database.Methods:The prospective real-world study was conducted. The clinicopathological data of 1 074 patients who underwent surgical treatment for mid and low rectal cancer in 47 national medical institutions, including Peking Union Medical College Hospital et al, from May 12,2023 to May 11,2024 were collected. Observation indicators: (1) clinical characteristics of patients with mid and low rectal cancer; (2) initial colonoscopy and pathologic evaluation of tumors in patients with mid and low rectal cancer; (3) initial imaging evaluation of patients with mid and low rectal cancer; (4) imaging evaluation after neoadjuvant therapy for patients with mid and low rectal cancer. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M( Q1, Q3). Count data were described as absoluter numbers and/or percentages. Results:(1) Clinical characteristics of patients with mid and low rectal cancer. Of the 1 074 patients, there were 713 males and 361 females, aged 63(56,70)years. The body mass index of 1 074 patients was 24(21,26)kg/m 2.For American Society of Anesthesiologists classification, there were 147 cases of stage Ⅰ, 641 cases of stage Ⅱ, 157 cases of stage Ⅲ, 2 cases of stage Ⅳ, and there were 127 cases missing data. (2) Initial colonoscopy and pathologic evaluation of tumors in patients with mid and low rectal cancer. Of the 1 074 patients, there were 787 cases (73.28%) undergoing complete colonoscopy, and there were only 197 cases (18.34%) undergoing immunohistochemical evaluation of all four mismatch repair proteins. (3) Initial imaging evaluation of patients with mid and low rectal cancer. Of the 1 074 patients, there were 842(78.40%) patients completing magnetic resonance imaging (MRI) or ultrasound evaluation, and there were 914(85.10%) patients completing chest, abdomen, and pelvis enhanced computed tomography (CT) evaluation. In the 149 patients completing rectal ultrasound evaluation, there were 122 cases (81.88%) comple-ting T staging evaluation, and there were 81 cases (54.36%) completing N staging evaluation. In the 808 patients completing rectal MRI evaluation, there were 708 cases (87.62%) completing T staging evaluation, and there were 590 cases (73.02%) completing N staging evaluation. (4) Imaging evalua-tion after neoadjuvant therapy for patients with mid and low rectal cancer. Of the 388 patients with neoadjuvant therapy, there were 332 patients (85.57%) completing MRI or ultrasound evaluation, and there were 327 patients (84.28%) completing chest, abdomen, and pelvis enhanced CT evalua-tion. In the 70 patients completing rectal ultrasound evaluation, there were 65 cases (92.86%) com-pleting T staging evaluation, and there were 49 cases (70.00%) completing N staging evaluation. In the 327 patients completing rectal MRI evaluation, there were 246 cases (75.23%) completing T staging, and there were 228 cases (69.72%) completing N staging evaluation. Conclusion:The com-pletion rate of tumor imaging evaluation at initial assessment and after neoadjuvant therapy for mid and low rectal cancer patients on a national scale is relatively good.

Objective:To investigate the treatment and prognosis of esophageal cancer patients with pulmonary resection history.Methods:The retrospective and descriptive study was conducted. The clinicopathological data of 58 esophageal cancer patients with pulmonary resection history who were admitted to Chest Hospital Affiliated to Shanghai Jiaotong University School of Medicine and Jiangxi Provincial People's Hospital from May 2019 to April 2024 were collected. There were 52 males and 6 females, aged (69±3)years. Observation indicators: (1) surgical and postopera-tive conditions; (2) postoperative pathological examination results; (3) follow-up; (4) stratified analysis. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data between groups was conducted using the non-parametric rank sum test. The Kaplan-Meier method was used to plot survival curve and calculate survival rate, and the Log-rank test was used for survival analysis. Results:(1) Surgical and postoperative conditions. Of the 58 esophageal cancer patients, 49 patients underwent transthoracic approach (26 cases of ipsilateral approach and 23 cases of contralateral approach of pulmonary resection history), and 9 patients underwent mediastinoscopic-laparoscopic approach. There were 57 cases with R 0 resection and 1 case with R 2 resection because of tumor invading carina. The total operation time of 58 patients was (246±27)minutes, and the volume of intraoperative blood loss was (114±29)mL. There was no unplanned reoperation or perioperative death for all patients. The duration of postoperative hospital stay of 58 patients was (10.4±4.6)days, and time for intensive care unit stay was (1.4±0.5)days, and no patient readmitted to intensive care unit due to changes in conditions. The postoperative total incidence of complications of 58 patients was 41.4%(24/58). The Clavien-Dindo grading of complications for all patients was 1-2 grade. (2) Postoperative pathological examination results. Results of postoperative pathological examination showed there were 51 cases of squamous cell carcinoma, 6 cases of adenocarcinoma, and 1 case of melanoma. Number of lymph node dissected of 58 patients was 27±6. The ratio of patient with positive lymph node was 37.9%(22/58). One patient may experience more than 1 region of positive lymph node metastasis. Results of postoperative pathological staging showed 5 cases of ⅠA stage, 2 cases of ⅠB stage, 13 cases of ⅡA stage, 15 cases of ⅡB stage, 4 cases of ⅢA stage, 16 cases of ⅢB stage, and 3 cases of ⅣA stage. Thirteen of the 58 patients underwent neoadjuvant therapy, with the pathological staging as 6 cases of Ⅰ stage, 4 cases of Ⅱ stage, 3 cases of ⅢB stage after therapy. Results of postoperative tumor regression grade for the 13 patients with neoadjuvant therapy showed 4 cases of grad 0, 3 cases of grade 1, 6 cases of grade 2. (3) Follow-up. All 58 patients were followed for 24 (4, 50)months, and no patient died within 90 days after surgery. During the follow-up period, 19 patients experienced tumor recurrence and metastasis and 17 patients died. Twenty-one patients underwent postoperative adjuvant therapy, including 7 cases with chemoradiotherapy, 7 cases with chemotherapy, 3 cases with chemotherapy and immunotherapy, 2 cases with immuno-therapy, 2 cases with radiotherapy. The postoperative 1-, 2-year overall survival rates of the 58 patients were 91.3%, 78.7%, respectively, of whom undergoing McKeown surgery and mediastinoscopic-laparoscopic surgery with postoperative 1-, 2-year overall survival rates as 89.2%, 83.1% and 85.7%, 53.6%, respectively. The postoperative 1-, 2-year esophageal cancer specific survival rates for patients undergoing McKeown surgery and mediastinoscopic-laparoscopic surgery were 94.4%, 87.9% and 85.7%, 71.4%, respectively. There was no significant difference in postoperative 1-, 2-year overall survival rates and postoperative 1-, 2-year esophageal cancer specific survival rates between patients undergoing McKeown surgery and mediastinoscopic-laparoscopic surgery ( P>0.05). (4) Stratified analysis. Of the 49 patients underwent transthoracic approach for esophageal cancer, there were significant differences in surgical method, surgical type, time of chest surgery, cases with upper mediastinal lymph node dissection, and duration of postoperative hospital stay between patients with pulmonary resection history as ipsilateral approach and contralateral approach ( χ2=11.74, 11.68, t=-2.25, χ2=8.45, t=-2.17, P<0.05), and there was no significant difference in total operation time, volume of intraoperative blood loss, the number of lymph node dissected, post-operative total complications, and postoperative pathological TNM staging ( P>0.05). For patients with pulmonary resection history as ipsilateral approach and contralateral approach, the postopera-tive 1-, 2-year esophageal cancer specific survival rates were 95.5%, 95.5% and 81.4%, 71.1%, showing a significant difference between them ( χ2=5.63, P<0.05). Conclusions:The transthoracic approach and mediastinoscopic-laparoscopic approach are safe and feasible for esophageal cancer patients with pulmonary resection history. Compared with patients with pulmonary resection history as contralateral approach, patients with pulmonary resection history as ipsilateral approach have a higher ratio of McKeown surgery, minimally invasive surgery and upper mediastinal lymph node dissection, shorter time of chest surgery and duration of postoperative hospital stay, better esophageal cancer specific survival rate. And there is no increase in perioperative risk.

BACKGROUND:Inflammation and apoptosis play key roles in the pathological process of cervical spondylotic myelopathy.Previous studies have shown that Pueraria lobata decoction has favorable therapeutic effects on cervical spondylotic myelopathy.OBJECTIVE:To investigate the effects and mechanism of Pueraria lobata decoction in neuroinflammatory response and apoptosis in rats with cervical spondylotic myelopathy.METHODS:Sixty Sprague-Dawley rats were randomly divided into six groups:a normal group,a sham-operated group,a model group,and three groups that received low,medium,and high doses of Pueraria lobata decoction.An animal model of cervical spondylotic myelopathy was constructed through compression of the spinal cord with water-absorbing and expanding material.Gastric administration of Pueraria lobata decoction(4.86,9.72,and 19.44 g/kg)was given in the three Pueraria lobata decoction groups 2 weeks after surgery,and the resting groups were given saline by gavage,once daily for 4 weeks.Motor function evaluation(Basso-Beattie-Bresnahan score)was performed in rats on days 1,7,14,21 and 28 after drug administration.At 4 weeks after drug administration,hematoxylin-eosin staining was used to observe the pathomorphologic changes in spinal cord tissue;immunofluorescence double staining was used for the detection of microglial cell polarization in spinal cord tissue;quantitative fluorescence PCR was used to detect the changes in the expression of interleukin-6 and interleukin-1β mRNA;western blot assay was used to detect the protein expression of p-NF-κB p65,NF-κB p65,NLRP3,ASC,Cleaved Caspase-1,Bax,Bcl-2,Cleaved Caspase-3,NOX4,p-Drp1,Drp1,and Mfn2 in spinal cord tissues;TUNEL assay was used to detect apoptosis in spinal cord tissues;and DHE staining was used to detect reactive oxygen species levels in rat spinal cord tissues.RESULTS AND CONCLUSION:(1)Compared with the normal and sham-operated groups,reduced Basso-Beattie-Bresnahan scores were observed in the model group(P<0.05),spinal cord neurons were crumpled and malformed with vacuolike changes.The Basso-Beattie-Bresnahan scores in the low-,medium-and high-dose Pueraria lobata decoction groups were significantly higher than those in the model group(P<0.05),and spinal cord neuronal damage reduced significantly.(2)Compared with the normal and sham-operated groups,there were elevated levels of Iba-1 and inducible nitric oxide synthase proteins and increased interleukin-6 and interluekin-1β mRNA expression in the spinal cord tissue of rats in the model group(P<0.05).The expression levels of Iba-1,inducible nitric oxide synthase,p-NF-κB,NLRP3,ASC and cleaved caspase-1 proteins as well as interleukin-6 and interleukin-1β mRNAs in the spinal cord tissues of rats in the low-,medium-and high-dose Pueraria lobata decoction groups were reduced compared with those in the model group(P<0.05).(3)Compared with the normal and sham-operated groups,the rate of TUNEL-positive cells and the levels of Bax and cleaved caspase-3 proteins were increased in the spinal cord tissues of rats in the model group(P<0.05),while the expression of Bcl-2 protein was reduced(P<0.05).Compared with the model group,the above indexes were significantly improved in the low-,medium-and high-dose Pueraria lobata decoction groups.(4)Compared with the normal and sham-operated groups,the model group exhibited increased levels of reactive oxygen species,along with elevated expression of NOX4 and p-Drp1 proteins(P<0.05)and reduced expression of Mfn2 protein(P<0.05)in the rat spinal crod tissue.Compared with the model group,the low-,medium-,and high-dose Pueraria lobata decoction groups exhibited reduced levels of reactive oxygen species,as well as decreased expression of NOX4 and p-Drp1 proteins(P<0.05)and increased expression of Mfn2 protein(P<0.05)in the rat spinal cord tissue.To conclude,Pueraria lobata decoction inhibits neuroinflammatory responses and neuronal apoptosis in the rat model of cervical spondylotic myelopathy,and the mechanism of action may be related to the regulation of the NOX4/reactive oxygen species/DRP1 signaling pathway.