Complement receptor of the immunoglobulin superfamily ( CRIg) can regulate immune reactions via T cells and cy-tokines and is involved in various diseases .The effect of CRIg on the pathogenesis of immunological liver injury , intestinal ischemia-reperfusion injury , type Ⅰdiabetes mellitus , experimental autoimmune uveoretinitis , and rheumatoid arthritis etc .in animal models of disease are reviewed in this article .

Aim To investigate the effect of resveratrol on astrocyte activation after cerebral ischemia/reperfusion injury in rats.Methods 45 male Sprague-Dawley rats were divided into sham,control and resveratrol groups, 15 rats in each group.Resveratrol or solvent was intra-peritoneally perfused into the rats for 7 consecutive days after 3h for MCA I /R.Cerebral infarction volume with TTC,neurological function score with Longa score, and pathological change with HE staining,the protein expressions of Caspase-3 with immunohistochemistry at 24h after MCA I /R were examined.The protein ex-pressions of GFAP and NeuN in penumbra were detec-ted with immunohistochemistry and immunofluores-cence at 14d after MCA I /R.Results Resveratrol treatment significantly improved the neurological func-tion score,decreased the infarct volume,reduced neu-ron loss,and inhibited the activation and proliferation of astrocytes,compared with the control group.Con-clusion Resveratrol can inhibit the excessive activa-tion of astrocytes,protect neurons in penumbra and im-prove neurological function.

Objective:To investigate the risk factors and establish a prediction model of primary non-response (PNR) to anti-tumor necrosis factor-α(TNF-α) monoclonal antibody in Crohn′s disease (CD) patients.Methods:From December 1, 2018 to July 31, 2022, 103 patients with CD treated with the anti-TNF-α monoclonal antibody in Renmin Hospital of Wuhan University were enrolled (modeling group), and at the same time, 109 patients with CD treated with anti-TNF-α monoclonal antibody in Zhongnan Hospital of Wuhan University were selected (validation group). The baseline clinical data of all the patients before the first treatment of anti-TNF-α monoclonal antibody were collected, which included C-reactive protein (CRP), the simplified Crohn′s disease activity index (CDAI), and modified multiplier simple endoscopic score for Crohn′s disease (MM-SES-CD), etc. Multivariate logistic regression was used to screen the independent risk factors of PNR in patients with CD treated with the anti-TNF-α monoclonal antibody, and to establish the nomograms prediction model. The area under the curve (AUC) of the receiver operating characteristic curve (ROC), the net reclassification index (NRI), integrated discrimination improvement index (IDI), and decision curve analysis (DCA) were used to evaluate the predictive efficacy and clinical application value of the prediction model. DeLong test was used for statistical analysis.Results:The results of multivariate logistic regression analysis showed that high level of CRP ( OR=1.030, 95% confidence interval (95% CI) 1.002 to 1.059), simplified CDAI ( OR=1.399, 95% CI 1.023 to 1.913), and MM-SES-CD ( OR=1.100, 95% CI 1.025 to 1.181) in baseline were independent risk factors of PNR in patients with CD treated with the anti-TNF-α monoclonal antibody ( P=0.033, 0.036 and 0.008). The results of ROC analysis showed that the AUCs of CRP, simplified CDAI, MM-SES-CD, and the prediction model in the modeling group and the validation group were 0.697(95% CI 0.573 to 0.821), 0.772(95% CI 0.666 to 0.879), 0.819(95% CI 0.725 to 0.912), 0.869 (95% CI 0.786 to 0.951) and 0.856 (95% CI 0.756 to 0.955), respectively. The AUC of the prediction model in the modeling group was greater than those of CRP and simplified CDAI, and the differences were statistically significant ( Z=3.00 and 2.75, P=0.003 and 0.006), while compared with MM-SES-CD and the validation group, the differences were not statistically significant (both P>0.05). However, compared with MM-SES-CD, the NRI and IDI of the prediction model in the modeling group were 0.205(95% CI 0.002 to 0.409, P=0.048) and 0.098(95% CI 0.022 to 0.174, P=0.011), respectively, suggesting that the predictive ability of the prediction model was better than that of MM-SES-CD. The results of DCA indicated that the prediction model had significant clinical benefits in both the modeling group and the validation group. Conclusions:A prediction model was successfully constructed based on the independent risk factors for PNR in patients with CD treated with the anti-TNF-α monoclonal antibody. After verification, the prediction model has good prediction performance and significant clinical benefits.

Objective To investigate the application effect of red furnace massage tank therapy in the patients with wind-cold Bizu type Xiangbi disease.Methods Eighty patients with wind-cold Bizu type Xiangbi disease admitted to this hospital from March 2022 to March 2023 were selected as the study subjects and di-vided into the test group and control group according to the random number table method,40 cases in each group.The control group was given the conventional treatment,the test group was given the red furnace mas-sage tank therapy.The cervical vertebral function symptoms,pain degree and clinical effect on 14 d after inter-vention were evaluated.The patients were followed up in 1 month after intervention.Results After interven-tion,the improvement degree in the test group was superior to that in the control group[total effective rate:100.0％vs.87.5％,VAS score:0.5(0,1.0)point vs.1.0(0,1.0)point,cervical spondylosis symptom scale(NPQ)score:(3.55±1.83)points vs.(5.15±2.99)points,Tanaka Yasuhisa score:(17.05±1.32)points vs.(14.88±2.10)points],and the differences were statistically significant(P＜0.05).No adverse reactions occurred in both groups.Conclusion Red furnace massage tank therapy could effectively improve the pain symptoms and cervical vertebral function of the patients with wind-cold Bizu type Xiangbi disease.

Objective: To analyze the current status of work-related musculoskeletal disorders (WMSDs), work fatigue and musculoskeletal pain in Chinese occupational population, and to study the relationship between work fatigue and musculoskeletal pain and WMSDs. Methods: A total of 66 961 employees from 323 enterprises in 15 key industries in China were selected as the study subjects using stratified cluster sampling method. The incidence of WMSDs in the past year was investigated using the Chinese version of the Musculoskeletal Disorders Questionnaire, and the work fatigue and musculoskeletal pain were investigated using Borg 6-20 Rating of Perceived Exertion Scale and visual analogue scale. The data were standardized using the age composition data of 18 to 60 years from the seventh national population census. Results: The standardized annual incidence of WMSDs was higher in the front-line workers than that in the administrative and other supportive staff (38.82% vs 36.30%). The detection rates of work fatigue and musculoskeletal pain in the study subjects were 44.54% and 63.08%, respectively. The result of S-curve fitting showed that the risk of WMSDs increased with the level of work fatigue (P<0.01). Among the front-line workers, the average of monthly fatigue frequency in the neck, shoulder, lower back, upper back, wrist/hand, foot and ankle, knee, leg, and elbow were higher in the group with WMSDs compared to those without WMSDs (all P<0.01). The pain degree of musculoskeletal pain was higher in all nine sites in the fatigued group than in the no-fatigue group (all P<0.01). The standardized detection rate of musculoskeletal pain was higher in the fatigued group than in the non-fatigued group (80.38% vs 25.71%). The work fatigue was moderate and positively correlated with musculoskeletal pain in all seven sites except the lower back and elbow, with Kendall Tau-b correlation coefficients ranging from 0.423 to 0.546 (all P<0.01). Conclusion: There is a good correlation between work fatigue and local musculoskeletal pain, work fatigue and WMSDs in Chinese occupational population. Implementing ergonomic interventions to control the development of work fatigue can be an effective measure for preventing WMSDs.

Objective : To study the effect of deep learning applied to the assisted diagnosis of radiolucent lesions and radiopaque lesions of the jaws in panoramic radiography and to reduce the missed diagnosis, with early screening to assist doctors to improve the diagnostic accuracy. Methods: This study was approved by the Ethics Committee of the West China Stomatological Hospital of Sichuan University. The YOLO v8m-p2 neural network model was constructed with 443 panoramic images as a subject to read. The labeled images were divided into 354 training sets, 45 verification sets, and 44 test sets, which were used for model training, verification, and testing. Accuracy, recall, F-1 score, G score, and mAP50 were used to evaluate the detection performance of the model. Results: 443 panoramic images covered the common benign lesions of the jaw, the number of radiolucent lesions of the jaw was 318, containing dentigerous cyst, odontogenic keratocyst, and ameloblastoma. The number of radiopaque lesions was 145, containing idiopathic osteosclerosis, odontoma, cementoma, and cemento-osseous dysplasia; the samples are well representative. The accuracy of the YOLO v8m-p2 neural network model in identifying jaw lesions was 0.887, and the recall, F-1 score, G score, and mAP50 were 0.860, 0.873, 0.873, and 0.863, respectively. The recall rates of dentigerous cyst, odontogenic keratocyst, and ameloblastoma were 0.833, 0.941, and 0.875, respectively. Conclusion YOLO v8m-p2 neural network model has good diagnostic performance in preliminary detection of radiolucent and radiopaque lesions of the jaws in panoramic radiography and multi-classification monitoring of radiolucent lesions of jaws, which can assist doctors to screen jaw diseases in panoramic radiography.

Background Prolonged awkward postures during occupational activities can lead to excessive musculoskeletal load on the wrist of workers and symptoms such as wrist pain or discomfort. Objective To survey the prevalence of wrist pain among workers in 10 key industries and analyze its correlation with wrist working postures. Methods By using stratified cluster sampling method, workers from 10 key industries, such as footwear manufacturing industry, shipbuilding manufacturing industry, and automobile manufacturing industry, were selected from seven regions in North China, East China, Central China, South China, Southwest China, Northwest China, and Northeast China. The demographic information, wrist working postures, pain in wrist of the workers were collected through a cross-sectional survey. Pearson χ² test was used to compare prevalence by selected factors, trend χ² test for between group comparison, and unconditional logistic regression models for the association of wrist working postures with wrist pain. Results There were 64052 workers enrolled in this survey, and 56286 provided valid questionnaires (the effective rate was 87.8%). According to the survey, the prevalence of wrist pain was 23.3% (13112/56286), and the industries with higher prevalences were footwear manufacturing (27.1%, 1927/7106), automobile manufacturing (24.9%, 5378/21560), and shipbuilding and related equipment manufacturing (24.4%, 850/3488) industries. Finger pinching (OR=2.09, 95%CI: 1.95-2.24), frequent wrist bending (OR=2.03, 95%CI: 1.92-2.15), fixed wrist bending (OR=1.77, 95%CI: 1.69-1.85), wrist on hard edge (OR=1.34, 95%CI: 1.28-1.40), and arms over shoulders (OR=1.11, 95%CI: 1.05-1.17) increased the risk of reporting wrist pain. Conclusion Awkward postures are related to wrist pain among workers in selected 10 key industries. The related factors are wrist on hard edge, frequent wrist bending, finger pinching, fixed wrist bending, and arms over shoulders.