ObjectiveTo investigate the therapeutic effects and mechanisms of Qinlian Hongqutang （QLHQT） on nonalcoholic steatohepatitis （NASH）. MethodsC57BL/6J mice were randomly divided into normal and modeling groups. The NASH model was established by feeding a high-fat diet for 12 weeks. After successful modeling， mice were randomly assigned to the model group， low-， medium-， and high-dose QLHQT groups （0.51， 1.02， and 2.04 g·kg^-1）， and a positive control metformin group， with six mice in each group. The mice were treated for 8 weeks. Body weight was recorded before and after treatment. Serum levels of total cholesterol （TC）， triglycerides （TG）， and low-density lipoprotein cholesterol （LDL-C）， as well as hepatic TC， TG， and LDL-C contents， were determined by biochemical assays. Hematoxylin-eosin （HE） staining and oil red O staining were used to evaluate liver histopathology and lipid deposition， respectively. Flow cytometry， enzyme-linked immunosorbent assay （ELISA）， and Real-time polymerase chain reaction （Real-time PCR） were used to assess hepatic macrophage expression and related markers. Western blot and immunofluorescence were used to investigate the potential mechanisms of QLHQT in regulating macrophage polarization. ResultsCompared with the normal group， body weight and serum and hepatic levels of TC， TG， and LDL-C were significantly increased in the model group （P<0.01）. Liver histopathology showed unevenly distributed round lipid droplets in the hepatocyte cytoplasm， accompanied by inflammatory cell aggregation. Flow cytometry showed that the proportion of CD86-positive cells was significantly increased， whereas the proportion of CD206-positive cells was markedly decreased （P<0.05）. Hepatic inducible nitric oxide synthase （iNOS） levels and tumor necrosis factor-α （TNF-α） mRNA expression were significantly increased， while hepatic IL-10 levels and IL-4 mRNA expression were significantly decreased （P<0.01）. The protein expression levels of Toll-like receptor 4 （TLR4）， tumor necrosis factor receptor-associated factor 6 （TRAF6）， and myeloid differentiation factor 88 （MyD88） in the liver were significantly increased （P<0.01）. Compared with the model group， body weight was reduced in the high-， medium-， and low-dose QLHQT groups and in the metformin group. Serum and hepatic TC， TG， and LDL-C levels were significantly decreased （P<0.01）. Liver histopathology showed alleviated hepatic lipid deposition， with markedly reduced lipid droplets and inflammation. Immunofluorescence and flow cytometry showed that the proportions of CD86-positive cells were significantly decreased， whereas the proportions of CD206-positive cells were significantly increased in the high-， medium-， and low-dose QLHQT groups （P<0.05）. Hepatic iNOS levels and TNF-α mRNA expression were significantly decreased （P<0.01）， whereas hepatic IL-10 levels and IL-4 mRNA expression were significantly increased （P<0.01）. The hepatic protein expression levels of TLR4， TRAF6， and MyD88 were significantly decreased， while signal transducer and activator of transcription 6 （STAT6） phosphorylation was significantly increased （P<0.05， P<0.01）. There was no statistically significant difference in total STAT6 protein expression. ConclusionQLHQT effectively ameliorates hepatic inflammation in NASH mice， and the mechanism may involve STAT6- and TLR4-mediated signaling pathways driving polarization of M1 macrophages toward the M2 phenotype.

ObjectiveTo investigate the therapeutic effects and mechanisms of Qinlian Hongqutang （QLHQT） on nonalcoholic steatohepatitis （NASH）. MethodsC57BL/6J mice were randomly divided into normal and modeling groups. The NASH model was established by feeding a high-fat diet for 12 weeks. After successful modeling， mice were randomly assigned to the model group， low-， medium-， and high-dose QLHQT groups （0.51， 1.02， and 2.04 g·kg^-1）， and a positive control metformin group， with six mice in each group. The mice were treated for 8 weeks. Body weight was recorded before and after treatment. Serum levels of total cholesterol （TC）， triglycerides （TG）， and low-density lipoprotein cholesterol （LDL-C）， as well as hepatic TC， TG， and LDL-C contents， were determined by biochemical assays. Hematoxylin-eosin （HE） staining and oil red O staining were used to evaluate liver histopathology and lipid deposition， respectively. Flow cytometry， enzyme-linked immunosorbent assay （ELISA）， and Real-time polymerase chain reaction （Real-time PCR） were used to assess hepatic macrophage expression and related markers. Western blot and immunofluorescence were used to investigate the potential mechanisms of QLHQT in regulating macrophage polarization. ResultsCompared with the normal group， body weight and serum and hepatic levels of TC， TG， and LDL-C were significantly increased in the model group （P<0.01）. Liver histopathology showed unevenly distributed round lipid droplets in the hepatocyte cytoplasm， accompanied by inflammatory cell aggregation. Flow cytometry showed that the proportion of CD86-positive cells was significantly increased， whereas the proportion of CD206-positive cells was markedly decreased （P<0.05）. Hepatic inducible nitric oxide synthase （iNOS） levels and tumor necrosis factor-α （TNF-α） mRNA expression were significantly increased， while hepatic IL-10 levels and IL-4 mRNA expression were significantly decreased （P<0.01）. The protein expression levels of Toll-like receptor 4 （TLR4）， tumor necrosis factor receptor-associated factor 6 （TRAF6）， and myeloid differentiation factor 88 （MyD88） in the liver were significantly increased （P<0.01）. Compared with the model group， body weight was reduced in the high-， medium-， and low-dose QLHQT groups and in the metformin group. Serum and hepatic TC， TG， and LDL-C levels were significantly decreased （P<0.01）. Liver histopathology showed alleviated hepatic lipid deposition， with markedly reduced lipid droplets and inflammation. Immunofluorescence and flow cytometry showed that the proportions of CD86-positive cells were significantly decreased， whereas the proportions of CD206-positive cells were significantly increased in the high-， medium-， and low-dose QLHQT groups （P<0.05）. Hepatic iNOS levels and TNF-α mRNA expression were significantly decreased （P<0.01）， whereas hepatic IL-10 levels and IL-4 mRNA expression were significantly increased （P<0.01）. The hepatic protein expression levels of TLR4， TRAF6， and MyD88 were significantly decreased， while signal transducer and activator of transcription 6 （STAT6） phosphorylation was significantly increased （P<0.05， P<0.01）. There was no statistically significant difference in total STAT6 protein expression. ConclusionQLHQT effectively ameliorates hepatic inflammation in NASH mice， and the mechanism may involve STAT6- and TLR4-mediated signaling pathways driving polarization of M1 macrophages toward the M2 phenotype.

Objective To explore the predictive value of artificial intelligence (AI)-based lung nodule CT quantitative analysis for the invasion degree of lung adenocarcinoma spectrum lesions. Methods According to the invasion degree of lung adenocarcinoma spectrum lesions, patients with surgically and pathologically confirmed lung adenocarcinoma spectrum lesions from January to June 2023 in Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University were retrospectively collected and divided into a non-invasive group and an invasive group, including atypical adenomatous hyperplasia, adenocarcinoma in situ, and minimally invasive adenocarcinoma patients in the non-invasive group, and invasive adenocarcinoma patients in the invasive group. All enrolled patients underwent chest CT before surgery, and then the lung nodules were quantitatively analyzed using an AI-based computer-aided diagnosis system to compare the related quantitative parameters of lung nodules that have been surgically removed and pathologically confirmed as lung adenocarcinoma spectrum lesions between the two groups. The relationship between various CT quantitative features and the invasion degree of lung adenocarcinoma spectrum lesions was analyzed. Results A total of 149 patients (149 lesions) were included, including 42 males and 107 females, aged 29-81 (56.35±10.75) years. There were 72 patients in the non-invasive group and 77 patients in the invasive group. Statistical differences were observed between the two groups in long diameter, short diameter, volume, surface area, mass, maximum cross-sectional area, 3D long diameter, maximum CT value, minimum CT value, average CT value, entropy, kurtosis, skewness, malignancy probability and other indicators (P<0.05). Multivariate binary logistic regression analysis showed that long diameter [OR=1.687, 95%CI (1.364, 2.085), P<0.001], average CT value [OR=1.006, 95%CI (1.002, 1.009), P=0.002], and malignancy probability [OR=1.034, 95%CI (1.005, 1.063), P=0.020] were independent risk factors for the invasion degree of lung adenocarcinoma. The predictive model combining the above parameters demonstrated optimal performance, with an area under the receiver operating characteristic curve of 0.951, sensitivity of 0.818, and specificity of 0.972. Using a Nomogram to quantify the three independent risk factors, the cross-validation was performed to evaluate the stability of the model, and the average C-index of cross-validation was 0.950, with each fold C-index >0.75, indicating that the prediction performance of the model was stable, and the calibration curve and decision curve indicated good predictive performance. Conclusion The visualization prediction model constructed by AI-based quantitative analysis of lung nodules in CT demonstrates significant discriminative effectiveness in the assessment of invasiveness in lung adenocarcinoma spectrum lesions. This visualization prediction model can provide a quantitative decision-making basis for the preoperative identification of the degree of invasiveness in lung adenocarcinoma spectrum lesions.

The purpose of this study is to develop a shark single domain antibody(SdAb)targeting a unique B cell epitope in the SARS-CoV-2 spike protein,and explore its role in the immunological detection targeting SARS-CoV-2 spike protein S.A u-nique peptide S9 was artificially synthesized based on the sequence of a unique B cell epitope of SARS-CoV-2 spike protein,then it was conjugated to the carrier protein KLH.It was used as an immunogen for subcutaneous injection into shark back and boosted according to the standard immunization protocol.Blood collected from shark tail vein and peripheral blood lymphocytes(PBL)were isolated.Total RNA was purified from PBL and transcribed to cDNA by reverse transcription.Shark vNAR frag-ments were amplified from cDNA templates and cloned into pComb3XSS vector to obtain phage library.A positive clone named T01 was obtained through screening the phage library by indirect ELISA.Then its gene was cloned into the expression vector pET-28a.The SdAb T01 was then prokaryotically expressed and purified,and its specific recognition of the SARS-CoV-2 spike protein S was indentified by Western-blot(WB),indirect ELISA and IF A.T01 binds well with peptide S9 at EC50 value of 2.050±0.064 nmol/L.The purified SdAb T01 was proven by WB to be able to selectively detect recombinant spike protein sub-unit 1(S1)of SARS-CoV-2,with no cross-reactive to recombinant spike protein subunit 1 of other six human coronavirus.It was showed by ELISA that SdAb T01 can sensitively detect the recombinant N terminal domain(NTD)of SARS-CoV-2 pro-tein.Moreover,it also specifically recognizes the spike protein of SARS-CoV-2 that was transiently expressed in transfected HEK293 cells by IFA.Therefore,a shark single domain antibody targeting a unique B cell epitope in the spike protein of SARS-CoV-2 was successfully developed,and has shown potential immunodiagnostic value by WB,ELISA and IFA.Thus,it provides an effective tool for unique antigen detection of SARS-CoV-2.

OBJECTIVE:Nowadays,machine learning algorithms are gradually being applied to predict stroke and cardiovascular disease.Compared with traditional regression models,machine learning can learn from data to achieve high prediction accuracy by exploring the flexible relationship between a large number of predictive features and outcome variables,providing a new method for the formulation of individualized treatment and rehabilitation programs.This study aims to systematically evaluate stroke functional recovery and prognosis prediction models based on machine learning,comprehensively assessing their predictive performance and clinical application potential to provide references for the development,application,and promotion of related predictive models.METHODS:This review was conducted following the PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses)guidelines.Relevant literature on stroke prognosis prediction using machine learning methods was selected by searching PubMed,EMbase,Web of Science Core Collection,CNKI,WanFang,and the China Biomedical Literature Database,with the search period from January 1,2014,to July 1,2024.Two researchers independently screened the literature and extracted data based on inclusion and exclusion criteria,using the Prediction model Risk Of Bias ASsessment Tool(PROBAST)to assess model quality.RESULTS:(1)A total of 3 126 articles were obtained in the preliminary search.After screening and exclusion,18 articles were finally included.150 prediction models were constructed using 13 machine learning methods.The three most frequently used methods are Logistic Regression,Random Forest,and Extreme Gradient Boosting(XGBoost).Only one study was externally validated.Eight studies reported how the missing data were handled.(2)In terms of outcome indicators,8 studies used the combination of clinical data and imaging data to build models,9 studies only used clinical data to build models,and 1 study only used imaging data to build models.(3)Each of the 18 studies gave the most important characteristics of the study,with the most mentioned being the National Institute of Health Stroke Scale and age.All studies reported area under curve values ranging from 0.74 to 0.96,with the highest area under curve being 0.96.The overall risk of bias in all models was high.The high risk of bias in the field of model analysis was the main reason for the high risk of overall bias in all models.(4)The results of meta-analysis showed that age and National Institute of Health Stroke Scale score had significant influence on stroke prognosis,with age[MD=8.49,95％CI(6.24,10.75),P＜0.01]and National Institute of Health Stroke Scale score[MD=4.78,95％CI(2.56,7.00),P＜0.01].CONCLUSION:This study systematically evaluated the predictive model of functional recovery and prognosis of stroke based on machine learning,and all the models have good predictive potential.However,future studies should increase the sample size of the included model,adopt prospective studies,and add external validation of the model to improve the stability and prediction accuracy of the model,control the risk of bias,and contribute to the validation and promotion of the model in practical clinical applications.At the same time,the interpolation of missing values is more transparent and accurate.Although existing machine learning models show good predictive performance,it is also important to focus on the functionality and usability of the model,and the inclusion of features will reduce ease of use.We should develop easy to use model interfaces and user-friendly clinical tools to enable medical staff to better apply the model for clinical decision.

Lens injury is an important etiological factor in the reduction of visual function following ocular trauma.Currently, there are no clear standards for the classification of lens injury, and comprehensive diagnostic tools are lacking.This deficiency leads to numerous controversies and challenges in critical areas, such as diagnosis and preoperative evalution, timing of surgery, surgical strategy, and assessment of postoperative prognosis.Tomographic imaging technology, such as computed tomography, magnetic resonance imaging, optical coherence tomography, has introduced a new dimension to the evaluation of lens injury, which is crucial for assessing the transparency, texture, location, morphology, and integrity of the lens, as well as the zonules and nearby intraocular structures.However, the use of tomographic imaging technology is somewhat limited due to the limitations of relying on a single method.With the ongoing advancement of imaging technologies and the rapid development of big data and artificial intelligence, tomographic imaging will become an increasingly essential tool in the future management of lens injury.Our expert group reviewed the epidemiological characteristics and classification of lens injury and the major challenges currently faced in the diagnosis and treatment of lens injury, and provided expert recommendations mainly focusing on the application, shortcomings and limitations of current tomographic imaging technology in the diagnosis and treatment of lens injury, and future development directions.

Objectives:To investigate the relationship between locations of ventricular septal perforation and 30-day prognosis in patients with acute myocardial infarction complicated by ventricular septal perforation.Methods:Clinical data of 150 acute myocardial infarction patients with ventricular septal perforation admitted to Fuwai Hospital of Chinese Academy of Medical Sciences and People's Hospital of Xinjiang Uygur Autonomous Region from January 2009 to October 2023 were retrospectively analyzed.Kaplan-Meier method was used to compare the difference in 30-day survival rate among patients with different sites of ventricular septal perforation.The impact of locations of ventricular septal perforation on 30-day prognosis of acute myocardial infarction patients was evaluated by multivariate Cox regression analysis(forward stepwise).Results:In acute myocardial infarction patients,the occurrence of anterior ventricular septal perforation was higher than that of posterior ventricular septal perforation(79.5%vs.20.5%,P<0.001).In the anterior ventricular septal perforation patients,females were more common(50.0%vs.22.6%,P=0.006),the blood glucose level was higher([10.51±5.99]mmol/L vs.[8.02±2.81]mmol/L,P=0.026),the left ventricular end-diastolic diameter was smaller([50.7±6.1]mm vs.[55.1±5.0]mm,P<0.001),the ventricular septal aperture was also smaller([9.8±4.6]mm vs.[12.6±5.4]mm,P=0.004),30-day mortality was higher(55.8%vs.35.5%,P=0.043)compared with posterior ventricular septal perforation patients.Multivariate Cox regression analysis(forward stepwise)showed that no transthoracic surgery or transcatheter closure(HR=26.344,95%CI:8.261-84.009,P<0.001)and anterior ventricular septal perforation(HR=2.432,95%CI:1.281-4.619,P=0.007)were associated with increased risk of 30-day all-cause mortality in patients with acute myocardial infarction complicated by ventricular septal perforation.Conclusions:In patients with acute myocardial infarction complicated by ventricular septal perforation,the incidence of anterior ventricular septal perforation is higher than posterior ventricular septal perforation and the 30-day all-cause mortality of anterior ventricular septal perforation patients is also higher.No transthoracic surgery or transcatheter closure and anterior ventricular septal perforation are the independent influential factors of 30-day all-cause mortality in patients with acute myocardial infarction and ventricular septal perforation.

Objective:To explore the effect and mechanism of Andrias davidianus skin mucopolysaccharides (ASMP) on full-thickness skin defect wound healing in diabetic mice. Methods:This study was an experimental study. The ASMP with polysaccharide content of (70.0±0.3)% was prepared; the proliferation activity of human umbilical vein endothelial cells (HUVECs) was detected by cell counting kit-8, showing that the optimal concentration of ASMP was 0.05 mg/mL. The HUVECs were taken and divided into blank control group, vascular endothelial growth factor (VEGF) group, and ASMP group according to the random number table method (the same grouping method below), which were cultured with conventional medium and the media containing 50 ng/mL VEGF and 0.05 mg/mL ASMP, respectively, and then cultured under hypoxic (with volume fraction of oxygen being 5%) and normal-oxygen conditions for 12 hours, and the length of tube formation was observed. Human monocytic leukemia cells were induced with phorbol ester to differentiate into M0 macrophages. These cells were then divided into blank control group, lipopolysaccharide (LPS) group, and ASMP group, which were cultured respectively using conventional medium, LPS-containing medium followed by conventional medium, and LPS-containing medium followed by 0.05 mg/mL ASMP-containing medium. After 48 hours of culture, the expressions of CD86 and CD206 proteins (expressed as relative fluorescence intensity, the same below) were measured by immunofluorescence, and the mRNA expression levels of arginase-1 (Arg1) and CD206 were detected by real-time fluorescence quantitative reverse transcription polymerase chain reaction. Eighteen male C57 mice aged 8-10 weeks were used, and diabetic model was successfully established using streptozotocin combined with a high-fat and high-sugar diet. Full-thickness skin defect wounds were created on the backs of the mice, and the mice were divided into blank control group, alginate dressing group, and ASMP group (with 6 mice in each group), which were treated with physiological saline, alginate dressing, and ASMP, respectively. Wound healing was observed on post injury day (PID) 3, 7, 10, and 14, and the wound healing rates of mice were calculated. On PID 7, the expressions of CD31 and CD206 proteins in the wound tissue of mice were observed by immunofluorescence. On PID 14, the thickness of granulation tissue in wounds of mice was observed by hematoxylin-eosin staining. The sample size for all experiments was 3.Results:After 12 hours of culture in normal-oxygen condition, compared with that in blank control group, the tube formation length of HUVECs in VEGF and ASMP groups was significantly increased (with q values of 10.08 and 16.91, respectively, P<0.05). After 12 hours of culture in hypoxic condition, compared with that in blank control group, the tube formation length of HUVECs in VEGF and ASMP groups was significantly increased (with q values of 11.61 and 16.91, respectively, P<0.05); compared with that in VEGF group, the tube formation length of HUVECs in ASMP group was significantly increased ( q=5.30, P<0.05). After 48 hours of culture, the relative fluorescence intensity of CD206 protein in M0 macrophages in ASMP group was 31.90±1.76, significantly higher than 1.00±0.25 in blank control group and 2.21±0.42 in LPS group (with q values of 50.75 and 48.75, respectively, both P values <0.05); the relative fluorescence intensity of CD86 protein was 5.82±0.63, significantly lower than 53.73±4.61 in LPS group ( q=30.90, P<0.05). After 48 hours of culture, the mRNA expressions of Arg1 and CD206 in M0 macrophages in ASMP group were significantly higher than those in blank control group (with q values of 35.02 and 13.09, respectively, P<0.05) and LPS group (with q values of 32.24 and 11.24, respectively, P<0.05). On PID 3, there was no statistically significant difference in intercomparison in the wound healing rate of mice among the blank control, alginate dressing, and ASMP groups ( P>0.05). Compared with those in blank control group, the wound healing rates of mice in alginate dressing group on PID 10 and 14 were significantly increased (with q values of 11.76 and 12.50, respectively, P<0.05), and the wound healing rates of mice in ASMP group on PID 7, 10, and 14 were significantly increased (with q values of 5.84, 15.90, and 14.96, respectively, P<0.05); compared with those in alginate dressing group, the wound healing rates of mice in ASMP group on PID 7 and 10 were significantly increased (with q values of 4.77 and 4.14, respectively, P<0.05). On PID 7, the relative fluorescence intensity of CD31 protein in wound tissue of mice in alginate dressing and ASMP groups was significantly stronger than that in blank control group (with q values of 7.63 and 16.85, respectively, P<0.05); the relative fluorescence intensity of CD31 protein in wound tissue of mice in ASMP group was significantly stronger than that in alginate dressing group ( q=9.22, P<0.05). On PID 7, the relative fluorescence intensity of CD206 protein in wound tissue of mice in alginate dressing and ASMP groups was significantly stronger than that in blank control group (with q values of 8.76 and 29.36, respectively, P<0.05), and the relative fluorescence intensity of CD206 protein in wound tissue of mice in ASMP group was significantly stronger than that in alginate dressing group ( q=20.61, P<0.05). On PID 14, the wound granulation tissue of mice in ASMP group was thicker compared with that in blank control group and alginate dressing group. Conclusions:ASMP can significantly enhance the ability of new blood vessel formation and optimize the immune microenvironment by promoting HUVEC tube formation as well as inducing macrophages to polarize toward the M2 type, thereby accelerating full-thickness skin defect wound healing in diabetic mice.

The purpose of this study is to develop a shark single domain antibody(SdAb)targeting a unique B cell epitope in the SARS-CoV-2 spike protein,and explore its role in the immunological detection targeting SARS-CoV-2 spike protein S.A u-nique peptide S9 was artificially synthesized based on the sequence of a unique B cell epitope of SARS-CoV-2 spike protein,then it was conjugated to the carrier protein KLH.It was used as an immunogen for subcutaneous injection into shark back and boosted according to the standard immunization protocol.Blood collected from shark tail vein and peripheral blood lymphocytes(PBL)were isolated.Total RNA was purified from PBL and transcribed to cDNA by reverse transcription.Shark vNAR frag-ments were amplified from cDNA templates and cloned into pComb3XSS vector to obtain phage library.A positive clone named T01 was obtained through screening the phage library by indirect ELISA.Then its gene was cloned into the expression vector pET-28a.The SdAb T01 was then prokaryotically expressed and purified,and its specific recognition of the SARS-CoV-2 spike protein S was indentified by Western-blot(WB),indirect ELISA and IF A.T01 binds well with peptide S9 at EC50 value of 2.050±0.064 nmol/L.The purified SdAb T01 was proven by WB to be able to selectively detect recombinant spike protein sub-unit 1(S1)of SARS-CoV-2,with no cross-reactive to recombinant spike protein subunit 1 of other six human coronavirus.It was showed by ELISA that SdAb T01 can sensitively detect the recombinant N terminal domain(NTD)of SARS-CoV-2 pro-tein.Moreover,it also specifically recognizes the spike protein of SARS-CoV-2 that was transiently expressed in transfected HEK293 cells by IFA.Therefore,a shark single domain antibody targeting a unique B cell epitope in the spike protein of SARS-CoV-2 was successfully developed,and has shown potential immunodiagnostic value by WB,ELISA and IFA.Thus,it provides an effective tool for unique antigen detection of SARS-CoV-2.

Lens injury is an important etiological factor in the reduction of visual function following ocular trauma.Currently, there are no clear standards for the classification of lens injury, and comprehensive diagnostic tools are lacking.This deficiency leads to numerous controversies and challenges in critical areas, such as diagnosis and preoperative evalution, timing of surgery, surgical strategy, and assessment of postoperative prognosis.Tomographic imaging technology, such as computed tomography, magnetic resonance imaging, optical coherence tomography, has introduced a new dimension to the evaluation of lens injury, which is crucial for assessing the transparency, texture, location, morphology, and integrity of the lens, as well as the zonules and nearby intraocular structures.However, the use of tomographic imaging technology is somewhat limited due to the limitations of relying on a single method.With the ongoing advancement of imaging technologies and the rapid development of big data and artificial intelligence, tomographic imaging will become an increasingly essential tool in the future management of lens injury.Our expert group reviewed the epidemiological characteristics and classification of lens injury and the major challenges currently faced in the diagnosis and treatment of lens injury, and provided expert recommendations mainly focusing on the application, shortcomings and limitations of current tomographic imaging technology in the diagnosis and treatment of lens injury, and future development directions.