Objective To study the five-year survival status and influencing factors of elderly patients with lung cancer complicated with chronic obstructive pulmonary disease (COPD). Methods A cohort study was conducted to follow up 450 patients with lung cancer and chronic obstructive pulmonary disease who were hospitalized in our hospital from January 2018 to December 2023. The endpoint of the follow-up was the end of a five-year period or death. The Life Tables method was used to calculate survival rates and plot survival curves. The Cox proportional hazards model was used to analyze the influencing factors of five-year survival. Results The results indicated that the overall five-year survival rate of patients was 4.89%, and it decreased year by year. Cox regression analysis showed that age, gender, family functioning, and psychological status significantly influenced patient survival rate (all P<0.05). Stratified analysis found that the smoking status, family functioning, and psychological status of male patients all had an impact on survival rate (all P<0.05), while the psychological status of female patients had a more significant impact on survival (P=0.008). Conclusion This study provides a scientific basis for comprehensive intervention of elderly lung cancer patients with COPD. It is recommended that clinical attention should be paid to psychological and family factors to improve patient prognosis.

Objective To investigate the feasibility and safety of transradial approach(TRA)for carotid artery stenting(CAS)using single-layer braided carotid stents with a microporous dense mesh design.Methods A retrospective consecutive series of patients with carotid artery stenosis who underwent CAS via TRA using single-layer braided microporous dense mesh stents admitted to the Department of Neurology,Linyi People's Hospital,Shandong Second Medical University were included from December 2022 to April 2023.General and clinical data,lesion characteristics,procedural metrics,periprocedural conditions,and follow-up outcomes were collected from the patients.General and clinical data including sex,age,medical history(hypertension,diabetes,coronary artery disease),and preoperative modified Rankin scale(mRS)score.Lesion characteristics included stenosis location,normal lumen diameters distal and proximal to the stenosis,stenosis rate,lesion length,and aortic arch type.Procedural metrics included successfully guided catheter placement,stent deployment,retrieval of the embolic protection device and residual stenosis rate.Periprocedural conditions included periprocedural complications(within 72 hours included puncture site bleeding,symptomatic radial artery occlusion,new cerebral infarctions on diffusion-weighted imaging,and cardio-cerebrovascular events[angina,acute myocardial infarction,cerebral infarction,cerebral hemorrhage])and length of hospital stay.The mRS scores at 1 and 6 months after surgery were recorded via telephone follow-ups.At 12 months after surgery,outpatient carotid color Doppler ultrasound was performed to evaluate in-stent restenosis.Results(1)Ten patients(9 male,1 female)aged 57-72 years,with a median age of 70(62,71)years were included.Among them,9 had hypertension,2 had diabetes,and 1 had coronary artery disease.Four patients had symptomatic carotid stenosis:2 presented with hemiparesis,1 with mild dysarthria,and 1 with transient ischemic attack.Preoperative mRS scores among symptomatic patients were 0(1 patient),1(2 patients),and 2(1 patient).The remaining 6 patients had asymptomatic stenosis,all with preoperative mRS scores of 0.(2)Two patients had left internal carotid artery(ICA)stenosis,and 8 had right ICA stenosis.The mean stenosis degree was(79.9±7.1)％,and the mean lesion length was(16.8±5.7)mm.The mean normal distal and proximal lumen diameter of the stenosed blood vessel were(5.1±0.5)mm and(8.1±0.8)mm,respectively.One patient had a type Ⅰ aortic arch,8 patients had type Ⅱ,and 1 patient had type Ⅲ.Among the 8 patients with right ICA stenosis,4 underwent direct catheterization of the right common carotid artery using a glidewire,while the other 4 required exchange technique for guide catheter placement.Both left-sided lesions were treated using exchange technique.Guide catheter placement and stent deployment were successful in all cases.No difficulties were encountered in embolic protection device retrieval.The mean residual stenosis rate was(21.6±6.7)％.(3)The mean postoperative hospital stay was(1.8±0.9)days.No puncture site bleeding or symptomatic radial artery occlusion occurred.One patient experienced a cerebrovascular event due to a pontine perforator artery infarction,presenting with diplopia and impaired left eye adduction,likely caused by postoperative hypotension and hypoperfusion.This patient had an immediate postoperative mRS score of 2 at discharge,which improved to 0 at 6 months.The other 9 patients showed no change in mRS scores compared to preoperative assessments,and no new cerebral infarctions were detected within 72 hours after surgery.At 12-month follow-up,carotid color Doppler ultrasound revealed no in-stent restenosis in any patient.Conclusions CAS performed via TRA using single-layer braided microporous dense mesh stents appears to be feasible and safe.However,this study is a single-center,retrospective analysis with a small sample size.Larger prospective randomized controlled trials are needed to validate these findings.

Objective:To explore the effect of ginsenoside Rg1 on spermatogenic dysfunction in mice caused by diabetes and its mechanism of action.Methods:Eighteen male C57BL mice were randomly divided into control group, the model group and the ginsenoside Rg1 group by completely random method, with 6 mice in each group. Type 2 diabetes models were established in the model group and the ginsenoside Rg1 group by a high-fat diet combined with intraperitoneal injection of streptozotocin, while control group was injected with the same amount of normal saline. After successful modeling, control group was given a regular diet for 8 weeks, while the model group and ginsenoside Rg1 group were given a high-fat diet for 8 weeks. The ginsenoside Rg1 group was also treated with ginsenoside Rg1 medication. Reproductive hormone levels were detected by enzyme-linked immunosorbent assay test kits, and Western blotting was used to detect the expressions of apoptosis-related proteins (Bcl2 protein, Caspase-3 protein, Bax protein), autophagy-related proteins (P62, LC3Ⅰ, LC3Ⅱ, Beclin1), β-Catenin protein, mTOR protein, LAMP1 protein and transcription factor EB. The body weight, blood glucose levels, testicular index of mice in each group were compared, as well as the testicular injury status.Results:The body weight [(18.77±1.14) g], testosterone level [(141.07±8.47) ng/L], follicle-stimulating hormone level [(9.19±0.74) U/L], and luteinizing hormone level [(1 497.91±99.57) pg/L] of mice in the model group were significantly lower than those in the control [(31.57±2.35) g, P<0.001; (171.50±11.76) ng/L, P<0.001; (12.46±1.54) U/L, P<0.001; (1 807.29±92.76) pg/L, P<0.001]; fasting blood glucose level [(20.82±1.11) mmol/L], glycosylated hemoglobin (12.67%±1.03%), the testis index (0.65%±0.03%) were significantly higher than those in the control [(6.40±1.34) mmol/L, P<0.001; 5.17%±1.17%, P<0.001; 0.48%±0.04%, P<0.001]. Compared with the model group, the body weight [(22.62±0.92) g, P=0.023], testosterone level [(172.63±9.20) ng/L, P<0.001], follicle-stimulating hormone level [(12.37±1.15) U/L, P<0.001], and luteinizing hormone level [(1 847.80±108.80) pg/L, P<0.001] of mice in the ginsenoside Rg1 group increased significantly, fasting blood glucose level [(18.63±1.14) mmol/L, P=0.017], glycosylated hemoglobin (8.50%±1.05%, P<0.001) and testicular index (0.54%±0.02%, P<0.001) decreased significantly. Compared with the control, the expressions of P62 ( P=0.039), LC3Ⅱ/LC3Ⅰ( P<0.001), Beclin1 ( P=0.002) and mTOR ( P=0.036) in the testicular tissue of mice in the model group all increased, the expression of β-Catenin ( P<0.001), LAMP1 ( P=0.005), transcription factor EB ( P<0.001) all decreased. Compared with the model group, the expressions of autophagy-related proteins P62 ( P=0.048), LC3Ⅱ/LC3Ⅰ( P<0.001) , Beclin1 ( P=0.023) and mTOR ( P=0.005) in the ginsenoside Rg1 group all decreased, while the expression of β-Catenin ( P=0.001), LAMP1 ( P=0.011) and transcription factor EB ( P=0.022) all increased. Transmission electron microscopy detected a decrease in the number of autophagosomes in the testicles of mice in the model group, and it improved after drug intervention. The HE staining showed that the testes of mice in the model group exhibited phenotypes such as the shedding and disorganization of spermatogenic cells, while ginsenoside Rg1 was able to improve these phenotypes. Conclusion:Ginsenoside Rg1 can improve testicular injury caused by diabetes in mice by regulating autophagy.

Chronic epididymitis (CE) is a long-standing inflammatory condition of the epididymis caused by unresolved acute infections, chronic infections, medication use, or other factors. Clinically, it is characterized by persistent dull pain or a dragging sensation in one or both sides of the scrotum. The disease course typically exceeds three months and is marked by insidious onset and recurrent episodes. Current studies suggest that CE may disrupt the epididymal microenvironment through multiple pathological processes, including local inflammatory responses, oxidative stress, fibrotic remodeling, and autophagy. These alterations impair sperm maturation, transport, and capacitation, thereby contributing to male reproductive dysfunction and infertility. This review summarizes the major etiologies and pathophysiological characteristics of CE and its impact on male reproductive function. It focuses on the roles of inflammatory cytokines and related signaling pathways, oxidative stress mechanisms, and fibrotic progression in the pathogenesis of CE. Moreover, it explores targeted therapeutic strategies based on these mechanisms, aiming to provide a theoretical basis for identifying key molecular targets and signaling pathways involved in CE-induced male reproductive impairment.

Objective The aim of this study is to systematically analyze the therapeutic mechanisms of Wuzi Yuye Decoction in diabetic oligoasthenozoospermia based on network pharmacology and animal experiments.Methods Active components and therapeutic targets of Wuzi Yuye Decoction were screened by integrating multiple databases,and their inter-section with diabetic oligoasthenozoospermia-related targets was obtained.Common targets were identified using the Venny platform,and protein-protein interaction(PPI)networks were constructed via the STRING database.And key targets were screened through topological analysis with Cytoscape.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analyses were performed using the DAVID platform.A mouse model of diabetic oligoasthenozoospermia was established by high-fat diet combined with streptozotocin induction,followed by intervention with Wuzi Yuye Decoction.Body weight,testicular index,and sperm quality were assessed,while histopathological changes were evaluated by HE staining and transmission electron microscopy(TEM).In addition,ELISA,oxidative stress assays and Western blot were used to verify the changes in key pathway-related proteins.Results A total of 36 common targets were identified,including key nodes such as TNF,IL6 and IL1B.Enrichment analysis indicated that these targets were sig-nificantly involved in inflammatory responses,oxidative stress,autophagy-apoptosis regulation and reproduction-related pathways.Animal experiments confirmed that Wuzi Yuye Decoction markedly improved testicular mass and sperm motility in diabetic mice,reduced the levels of AGE,TNF-α,IL-6 and IL-1β in testicular tissues,alleviated oxidative stress damage,and restored autophagic flux and blood-testis barrier function by inhibiting the RAGE/NF-κB/mTOR signaling axis.Conclusion Wuzi Yuye Decoction improves the pathological progression of diabetic oligoasthenozoospermia by synergistically modulating multiple targets,including inflammation inhibition,antioxidant effects,autophagy regulation,and related pathways.

To construct a recombinant fowl adenovirus 4(FAdV-4)expressing the Cap protein of goose astrovirus genotype 2(GoAstV-2),the expression cassette of Cap gene was inserted into the natural 1 966 bp deletion region of the FAdV-4 genome in the infectious clone p15A-cm-FAdV4-HNJZ.The resulted recombinant plasmid p15A-cm-FAdV4-HNJZ-Cap/GoAstV-2 was linearized with restriction enzyme and transfected into chicken hepatoma cell line(LMH)to rescue the recombinant FAdV-4 expressing the Cap protein of GoAstV-2,rF Ad V4-Cap/GoAstV-2.After 15 passages in LMH cells,the recombinant rFAdV4-Cap/GoAstV-2 was identified by PCR using primers flanking the insertion site of the Cap gene expression cassette and using viral genome DNA extracted from rFAdV4-Cap/GoAstV-2 infected LMH cells as template.LMH cells were in-fected with 15th passage rFAdV4-Cap/GoAstV-2 and indirect immunofluorescence was performed with a polyclonal antibody against Cap protein as the primary antibody.Western blot was carried out with lysates of rFAdV4-Cap/GoAstV-2 infected LMH cells.The in vitro replication dynamic of the 15th passage of the rFAdV4-Cap/GoAstV-2 was also investigated in LMH cells.The results demonstrated that the Cap gene of GoAstV-2 was presented in the genome of the recombinant vi-rus rF AdV4-Cap/Go Ast V-2,and could be expressed stably.The prepared recombinant virus in this study will lay a foundation for developing inactivated bivalent vaccine candidate against co-in-fection of FAdV-4 and GoAstV-2 in goose.

Objective:To investigate the prognostic factors for esophageal cancer after radical resection and the application value of machine learning prediction model.Methods:The retrospective cohort study was conducted. The clinicopatholigical data of 406 esophageal cancer patients who were admitted to Qilu Hospital of Shandong University from January 2018 to March 2022 were collected. There were 357 males and 49 females, aged (64±8)years. All patients underwent radical resection of esophageal cancer. The 406 patients were randomly divided into a training set of 285 cases and a validation set of 121 cases at a 7∶3 ratio based on a random number table. The training set was used to construct prediction model, and the validation set was used to validate prediction model. Patients were divided into high-risk group and low-risk group based on risk scores. Observation indicators: (1) follow-up of patients and analysis of influencing factors for prognosis; (2) construction and validation of machine learning prediction models. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the rank sum test. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and the Log-rank test was used for survival analysis. The Cox proportional hazard regression model was used for univariate and multivariate analyses. Independent influencing factors were included, and data processing, machine learning model construction, and visualization were performed using R packages including random survival forest (RSF), gradient boosting machine (GBM), least absolute shrinkage and selection operator Cox regression (LASSO-Cox), Cox proportional hazards model boosting (CoxBoost), survival support vector machine (survivalsvm), extreme gradient boosting (XGBoost), supervised principal component analysis (SuperPC), and Cox partial least squares regression (plsRcox). Receiver operating characteristic (ROC) curves were drawn, and sensitivity, specificity, and area under the curve (AUC) were calculated. The Delong test was used to assess the differences in AUC among different models in the training set, and the time-dependent ROC was used to compare the predictive performance of different models. Calibration curves were used to evaluate model accuracy, and decision curve analysis (DCA) was used to evaluate overall net benefit. Results:(1) Follow-up of patients and analysis of influencing factors for prognosis. All 406 patients were followed up postoperatively for 28(range, 6-36)months, with 1- and 3-year overall survival rate of 86.5% and 40.9%, respectively. The 285 patients in the training set were followed up postoperatively for 30(range, 6-36)months, with 1- and 3-year overall survival rate of 85.1% and 35.5%, respectively. The 121 patients in the validation set were followed up postoperatively for 25(range, 6-36)months, with 1- and 3-year overall survival rate of 87.0% and 43.2%, respectively. There was no significant difference in postoperative overall survival rate between the training set and the validation set ( χ2=3.20, P>0.05). Results of multivariate analysis showed that left thoracic surgical approach, preopera-tive neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia were independent risk factors affecting postoperative survival of 285 patients in the training set ( hazard ratio=1.466, 1.037, 1.482, 1.549, 5.268, 7.727, 22.202, 2.539, 2.686, 1.425, 95% confidence interval as 1.026-2.096, 1.003-1.073, 1.008-2.179, 1.105-2.170, 1.201-23.099, 1.833-32.576, 4.734-104.128, 1.577-4.087, 1.631-4.422, 1.018-1.994, P<0.05). (2) Construction and validation of machine learning prediction models. Independent risk factors affecting postoperative survival were included to construct RSF, GBM, LASSO-Cox, CoxBoost, survivalsvm, XGBoost, SuperPC, and plsRcox machine learning prediction models. Results of Delong test showed that there were significant differences in the AUC of RSF and GBM from the other six models ( P<0.05). Results of time-dependent ROC curve showed that all 8 machine learning predic-tion models had good discriminative ability in the training cohort, among which the RSF machine learning prediction model had the best predictive performance. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postoperative 1-, 2-, and 3-year overall survival in the training cohort, with high consistency with actual results. Results of decision curve analysis showed that within a threshold range of 0-0.80, the RSF machine learning prediction model provided a better overall net benefit. Further analysis showed that in the validation set, the AUC of RSF machine learning prediction model for postoperative 1-, 2-, and 3-year survival prediction were 0.786 (95% confidence interval as 0.609-0.962), 0.774 (95% confidence interval as 0.676-0.873), and 0.750 (95% confidence interval as 0.652-0.848), respectively. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postopera-tive 1-, 2-, and 3-year overall survival in the validation set, with high consistency with actual results. In the training set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score <11.7 as the low-risk group. The median survival times of the two groups were 18.0 months and >36.0 months, respectively, showing a significant difference between them ( χ2=73.30, P<0.05). In the validation set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score<11.7 as the low-risk group. The median survival times of the two groups were 17.0 months and>36.0 months for the high-risk and low-risk groups, respectively, showing a significant difference between them ( χ2=35.20, P<0.05). Conclusions:Left thoracic surgical approach, preoperative neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia are independent risk factors affecting survival of esophageal cancer patients after radical resection. The RSF machine learning prediction model constructed based on these factors can effectively distinguish the survival prognosis of high-risk and low-risk patients.

Objective:To construct a data integration platform for oxygen inhalation equipment of suction type,so as to explore its application effect in risk management for the operation of oxygen inhalation equipment of suction type.Methods:The data integration platform for oxygen inhalation equipment of suction type adopted a browser-server(B/S)architecture,with four modules:equipment list,quarterly data confirmation,system settings,and entry for key equipment,which can achieve full-process management for operational risks of oxygen inhalation equipment of suction type.A total of 40 oxygen inhalation equipment of suction type in clinical use of Huashan Hospital of Fudan University from January 2022 to December 2023 were selected.Equipment management from January to December 2022 was set as the pre-application management of the data integration platform of oxygen inhalation equipment of suction type,and the equipment management from January to December 2023 was set as the post-application management of that.The incidence of risk events of equipment,consumed time of emergency management for risk events,standardization scores of equipment management,and control rates for risks of equipment alarm were compared between before and after platform was applied.Results:After the data integration platform was applied,the incidence rates of equipment damage,record loss,and associated infections were respectively 3.85%,4.62%and 6.15%,which were lower than those before it was applied,with statistically significant differences(x2=9.957,11.217,7.386,P<0.05).The consumed times of emergency management for risk events related to safety of equipment power,safety of diagnosis and treatment,biological safety,and radiation safety were respectively(1.02±0.14)h,(1.06±0.15)h,(1.03±0.12)h and(1.15±0.14)h after the data integration platform was applied,all of which were shorter than those before it was applied,with statistically significant differences(t=10.913,9.954,8.917,13.572,P<0.05).The standardization scores of the management for use and operation,disinfection and sterilization,maintenance and upkeep,and fault repair of oxygen inhalation equipment of suction type after the data integration platform was applied were significantly higher than those before it was applied,with statistically significant differences(t=11.787,10.779,10.233,12.561,P<0.05).The average qualification rate of alarm threshold value,and qualification rate of equipment maintenance after the platform was applied were higher than those before it was applied,while the average mute rate of alarm after it was applied was lower than that before it was applied,with statistically significant differences(t=7.064,5.998,15.629,P<0.05).Conclusion:The application of the data integration platform in oxygen inhalation equipment of suction type can improve management capabilities for equipment,and strengthen monitoring and early warning functions for equipment,and reduce operational risks of the equipment after it is applied in the management for oxygen inhalation equipment of suction type.

Objective:To explore the effect of ginsenoside Rg1 on spermatogenic dysfunction in mice caused by diabetes and its mechanism of action.Methods:Eighteen male C57BL mice were randomly divided into control group, the model group and the ginsenoside Rg1 group by completely random method, with 6 mice in each group. Type 2 diabetes models were established in the model group and the ginsenoside Rg1 group by a high-fat diet combined with intraperitoneal injection of streptozotocin, while control group was injected with the same amount of normal saline. After successful modeling, control group was given a regular diet for 8 weeks, while the model group and ginsenoside Rg1 group were given a high-fat diet for 8 weeks. The ginsenoside Rg1 group was also treated with ginsenoside Rg1 medication. Reproductive hormone levels were detected by enzyme-linked immunosorbent assay test kits, and Western blotting was used to detect the expressions of apoptosis-related proteins (Bcl2 protein, Caspase-3 protein, Bax protein), autophagy-related proteins (P62, LC3Ⅰ, LC3Ⅱ, Beclin1), β-Catenin protein, mTOR protein, LAMP1 protein and transcription factor EB. The body weight, blood glucose levels, testicular index of mice in each group were compared, as well as the testicular injury status.Results:The body weight [(18.77±1.14) g], testosterone level [(141.07±8.47) ng/L], follicle-stimulating hormone level [(9.19±0.74) U/L], and luteinizing hormone level [(1 497.91±99.57) pg/L] of mice in the model group were significantly lower than those in the control [(31.57±2.35) g, P<0.001; (171.50±11.76) ng/L, P<0.001; (12.46±1.54) U/L, P<0.001; (1 807.29±92.76) pg/L, P<0.001]; fasting blood glucose level [(20.82±1.11) mmol/L], glycosylated hemoglobin (12.67%±1.03%), the testis index (0.65%±0.03%) were significantly higher than those in the control [(6.40±1.34) mmol/L, P<0.001; 5.17%±1.17%, P<0.001; 0.48%±0.04%, P<0.001]. Compared with the model group, the body weight [(22.62±0.92) g, P=0.023], testosterone level [(172.63±9.20) ng/L, P<0.001], follicle-stimulating hormone level [(12.37±1.15) U/L, P<0.001], and luteinizing hormone level [(1 847.80±108.80) pg/L, P<0.001] of mice in the ginsenoside Rg1 group increased significantly, fasting blood glucose level [(18.63±1.14) mmol/L, P=0.017], glycosylated hemoglobin (8.50%±1.05%, P<0.001) and testicular index (0.54%±0.02%, P<0.001) decreased significantly. Compared with the control, the expressions of P62 ( P=0.039), LC3Ⅱ/LC3Ⅰ( P<0.001), Beclin1 ( P=0.002) and mTOR ( P=0.036) in the testicular tissue of mice in the model group all increased, the expression of β-Catenin ( P<0.001), LAMP1 ( P=0.005), transcription factor EB ( P<0.001) all decreased. Compared with the model group, the expressions of autophagy-related proteins P62 ( P=0.048), LC3Ⅱ/LC3Ⅰ( P<0.001) , Beclin1 ( P=0.023) and mTOR ( P=0.005) in the ginsenoside Rg1 group all decreased, while the expression of β-Catenin ( P=0.001), LAMP1 ( P=0.011) and transcription factor EB ( P=0.022) all increased. Transmission electron microscopy detected a decrease in the number of autophagosomes in the testicles of mice in the model group, and it improved after drug intervention. The HE staining showed that the testes of mice in the model group exhibited phenotypes such as the shedding and disorganization of spermatogenic cells, while ginsenoside Rg1 was able to improve these phenotypes. Conclusion:Ginsenoside Rg1 can improve testicular injury caused by diabetes in mice by regulating autophagy.

Chronic epididymitis (CE) is a long-standing inflammatory condition of the epididymis caused by unresolved acute infections, chronic infections, medication use, or other factors. Clinically, it is characterized by persistent dull pain or a dragging sensation in one or both sides of the scrotum. The disease course typically exceeds three months and is marked by insidious onset and recurrent episodes. Current studies suggest that CE may disrupt the epididymal microenvironment through multiple pathological processes, including local inflammatory responses, oxidative stress, fibrotic remodeling, and autophagy. These alterations impair sperm maturation, transport, and capacitation, thereby contributing to male reproductive dysfunction and infertility. This review summarizes the major etiologies and pathophysiological characteristics of CE and its impact on male reproductive function. It focuses on the roles of inflammatory cytokines and related signaling pathways, oxidative stress mechanisms, and fibrotic progression in the pathogenesis of CE. Moreover, it explores targeted therapeutic strategies based on these mechanisms, aiming to provide a theoretical basis for identifying key molecular targets and signaling pathways involved in CE-induced male reproductive impairment.