Objective:To construct a prediction model for postoperative poor in-hospital prognosis in patients with traumatic brain injury (TBI) and evaluate its predictive performance.Methods:A retrospective case control study was conducted to analyze the clinical data of 1 120 TBI patients admitted to Changde Hospital Affiliated to Xiangya Medical College of Central South University from May 2019 to December 2024. The patients were divided into the training set ( n=784) and verification set ( n=336) at a ratio of 7∶3. Based on the Glasgow outcome scale-extended (GOS-E) at discharge, the training set was stratified into favorable prognosis group ( n=335, GOS-E 5-8 points) and poor prognosis group ( n=449, GOS-E 1-4 points). The two groups in the training set were compared in terms of general baseline indicators, TBI-related clinical indicators, and admission laboratory blood test results. Univariate analysis and Lasso regression analysis were employed to screen risk factors associated with postoperative poor in-hospital prognosis in TBI patients. Multivariate Logistic regression analysis was used to determine independent risk factors and construct a regression equation. The regression equation was presented using R language to create a visual nomogram for predicting postoperative poor in-hospital prognosis in TBI patients. In both the training set and verification set, the predictive performance of the model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC), plotting calibration curves, and performing decision curve analysis (DCA). Results:The results of the univariate analysis indicated that the age, Charlson complication index (CCI), time from trauma to admission, time from trauma to operation, cause of injury, abbreviated injury scale (AIS) (head and neck), injury severity score (ISS), admission Glasgow coma scale (GCS), admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraventricular hemorrhage, subarachnoid hemorrhage, decompressive craniotomy, intraoperative blood loss, intraoperative blood transfusion, traumatic cerebral infarction, postoperative delayed bleeding, epilepsy seizures, as well as the following admission tested results including red blood cell count, white blood cell count, platelet count, neutrophil percentage, percentage of lymphocytes, albumin, total bilirubin, urea nitrogen, thrombin time (TT), prothrombin time (PT), international standardized ratio (INR), glutamic aminotransferase, alanine aminotransferase, creatinine, and blood glucose were statistically different between the two groups in the training set ( P<0.05). Lasso regression analysis suggested 14 risk factors of age, CCI, cause of injury, head and neck AIS, ISS, admission GCS, admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraoperative blood loss, admission platelet count, admission albumin, admission blood glucose for postoperative poor in-hospital prognosis. The results of the multivariate Logistic regression analysis showed that age ( OR=1.02, 95% CI 1.00, 1.03, P<0.01), CCI ( OR=1.46, 95% CI 1.02, 2.09, P<0.05), head and neck AIS ( OR=1.43, 95% CI 1.11, 1.85, P<0.01), ISS ( OR=2.16, 95% CI 1.39, 3.35, P<0.01), admission GCS ( OR=1.59, 95% CI 1.19, 2.13, P<0.01), intracerebral hematoma ( OR=4.41, 95% CI 2.15, 9.44, P<0.01), intraoperative blood loss ( OR=1.05, 95% CI 1.00, 1.09, P<0.05), admission platelet count ( OR=0.98, 95% CI 0.97, 0.99, P<0.01), admission blood glucose ( OR=1.08, 95% CI 1.02, 1.15, P<0.05) could be the main risk factors to construct a prediction model for postoperative poor in-hospital prognosis in TBI patients. Meanwhile, a regression equation was constructed: Logit[ P/(1- P)]=-2.4+ 0.02×"age"+0.38×"CCI"+0.36×"head and neck AIS"+0.77×"ISS"+0.47×"admission GCS"+1.48×"intracerebral hematoma"+0.05×intraoperative blood loss-0.02×admission platelet count+0.08×admission blood glucose. In the training set, the predictive model for poor postoperative in-hospital prognosis in TBI patients achieved an AUC of 0.87 (95% CI 0.84, 0.89), with a Youden′s index of 0.57, sensitivity of 73.70%, and specificity of 83.00%. In the verification set, the model showed an AUC of 0.80 (95% CI 0.76, 0.85), with a Youden′s index of 0.63, sensitivity of 65.20%, and specificity of 77.90%. In the training set, the Brier score for the calibration curve was 0.14 (95% CI 0.13, 0.16). In the verification set, the Brier score for the calibration curve was 0.18 (95% CI 0.15, 0.20). The DCA diagram indicated that the nomogram prediction model provided high clinical net benefit for predicting postoperative poor in-hospital prognosis in TBI patients. Conclusion:The prediction model for postoperative poor in-hospital prognosis in TBI patients, constructed based on age, CCI, head and neck AIS, ISS, admission GCS, intracerebral hematoma, intraoperative blood loss, admission platelet count, and admission blood glucose, exhibits good predictive performance.

Non-alcoholic fatty liver disease(NAFLD)is a metabolic disease characterized by abnormal deposition of lipid in hepatocytes.If not intervened in time,NAFLD may develop into liver fibrosis or liver cancer,and ultimately threatening life.NAFLD has complicated etiology and pathogenesis,and there are no effective therapeutic means and specific drugs.Currently,insulin sensitizers,lipid-lowering agents and hep-atoprotective agents are often used for clinical intervention,but these drugs have obvious side effects,and their effectiveness and safety need to be further confirmed.Adenosine monophosphate(AMP)-activated protein kinase(AMPK)plays a central role in maintaining energy homeostasis.Activated AMPK can enhance lipid degradation,alleviate insulin resistance(IR),suppress oxidative stress and inflammatory response,and regulate autophagy,thereby alleviating NAFLD.Natural herbal medicines have received extensive attention recently because of their regulatory effects on AMPK and low side effects.In this article,we reviewed the biologically active natural herbal medicines(such as natural herbal medicine formulas,extracts,polysaccharides,and monomers)that reported in recent years to treat NAFLD via regulating AMPK,which can serve as a foundation for subsequent development of candidate drugs for NAFLD.

Non-alcoholic fatty liver disease (NAFLD) is a metabolic disease characterized by abnormal deposition of lipid in hepatocytes. If not intervened in time, NAFLD may develop into liver fibrosis or liver cancer, and ultimately threatening life. NAFLD has complicated etiology and pathogenesis, and there are no effective therapeutic means and specific drugs. Currently, insulin sensitizers, lipid-lowering agents and hepatoprotective agents are often used for clinical intervention, but these drugs have obvious side effects, and their effectiveness and safety need to be further confirmed. Adenosine monophosphate (AMP)-activated protein kinase (AMPK) plays a central role in maintaining energy homeostasis. Activated AMPK can enhance lipid degradation, alleviate insulin resistance (IR), suppress oxidative stress and inflammatory response, and regulate autophagy, thereby alleviating NAFLD. Natural herbal medicines have received extensive attention recently because of their regulatory effects on AMPK and low side effects. In this article, we reviewed the biologically active natural herbal medicines (such as natural herbal medicine formulas, extracts, polysaccharides, and monomers) that reported in recent years to treat NAFLD via regulating AMPK, which can serve as a foundation for subsequent development of candidate drugs for NAFLD.

Objective:To analyze the clinical features of pachydermoperiostosis (PDP) and improve its diagnostic level.Methods:A retrospective analysis was conducted on the clinical data of four patients with PDP treated at Sun Yat-sen Memorial Hospital, Sun Yat-sen University from 2015 to 2023, including clinical manifestations, laboratory tests, imaging examinations, and genetic testing results.Results:All four patients were male with an average onset age of 15 years old (ranging from 9 to 18 years old). One patient′s uncle had PDP, and another patient′s parents were consanguineous, though neither parent showed signs of PDP. All four patients exhibited clubbing, skin thickening, and acne; three had frontal bossing and deepened nasolabial folds; two showed scalp sulci changes on head MRI, and all had periosteal thickening of the phalanges visible on X-ray. One patient accompanied with hypokalemic nephropathy, and another had gastric ulcer. One patient underwent whole exome sequencing test which revealed a homozygous mutation, SLCO2A1 gene c.1406C>T, leading to a protein change p.Pro469Leu. Computational tools REVEL, SIFT, and Polyphen2 predicted this variant as deleterious.Conclusion:In addition to skin thickening, frontal bossing, scalp sulci changes, clubbing, and periosteal proliferation, patients with PDP may also present with hypokalemic nephropathy and gastric ulcer. The SLCO2A1 gene c.1406C>T mutation may be pathogenic.

OBJECTIVE: To explore the clinical effect of personalized puncture planning before surgery using Picture Archiving and Communication System (PACS) in the treatment of osteoporotic vertebral compression fractures in the elderly. METHODS: A total of 69 elderly patients with osteoporotic vertebral compression fractures treated by percutaneous vertebroplasty from January 2020 20 to December 2021 with more than 1 year of follow-up were analyzed retrospectively. Thirty-four patients were individualized for preoperative planning with PACS software (observation group), including 8 males and 26 females, with a mean age of (73.30±7.96) years old;and 35 patients were treated with conventional treatment (control group), including 7 males and 28 females, with a mean age of (77.30±7.84) years old. The operation time, the amount of cement injection, cement leakage rate, bone watertight diffusion and refracture within 1 year between two groups were observed and compared. The Cobb's angle, low back pain visual analogue scale(VAS) and the modified Oswsetry disability indexes(ODI) before surgery and 1 day, 1 year after surgery were compared between two groups. RESULTS: Both groups successfully completed the operation without serious surgical complications, 2 refractures occurred in the control group. The operation time in the observation group was(41.9±11.9) min, which was less than that in the control group (52.7±13.6) min (P<0.05). There was no significant difference in the cement injection volume between two groups (P>0.05). Two cases of cement leakage in the observation group was less than 8 in the control group (P<0.05). The bone cement distribution index of two groups had significant difference(P<0.05). There were no significant differences between two groups in Cobb's angle of the injured vertebras and ODI before and 1 day after surgery(P>0.05), however, the comparative differences were statistically significant at 1 year after surgery(P<0.05). There was no significant difference in the VAS between two groups at each time period(P>0.05). CONCLUSION Using the PACS software to plan personalized puncture scheme can reduce the operation time, reduce the cement leakage rate, improve the diffusion of bone cement and longer maintain the postoperative form of vertebral body and the functional state of patients' lumbar back.
Humans ; Male ; Female ; Aged ; Vertebroplasty/methods* ; Fractures, Compression/diagnostic imaging* ; Spinal Fractures/diagnostic imaging* ; Osteoporotic Fractures/diagnostic imaging* ; Aged, 80 and over ; Retrospective Studies ; Radiology Information Systems

Objective To investigate the effect of Eriodictyol(ERI)on the development of metabolic dysfunction-associated steatotic liver disease by regulating the expression of ubiquitin A 52(UBA52)at both in vivo and in vitro levels.Methods A mouse metabolic dysfunction-associated steatotic liver disease model was established using a high-fat diet induction.The mice were randomly separated into the normal control group(normal group),the model group,the low-dose ERI group(ERI-L group,50 mg/kg ERI)and the high-dose ERI group(ERI-H group,100 mg/kg ERI),with 12 mice in each group.Oil red O staining was applied to observe lipid deposition in mouse liver tissue.HE staining was applied to observe pathological changes in mouse liver tissue.ELISA method was applied to detect serum levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC)and triglycerides(TG)in mice.The expression of UBA52 protein in liver was detected by Western blot assay.HepG2 cells were treated with 0.5 mmol/L oleic acid to induce an in vitro metabolic dysfunction-associated steatotic liver disease model.HepG2 cells were randomly divide into the control group,the oleic acid induced group,the low concentration ERI group(ERI low group,50 μmol/L ERI),the high concentration ERI group(ERI high group,100 μmol/L ERI),the high concentration ERI+si-NC group(ERI high+si-NC group,100 μmol/L ERI+transfected with si-NC)and the high concentration ERI+si-UBA52 group(ERI high+si-UBA52 group,100 μmol/L ERI+transfected with si-UBA52).Oil red O staining was applied to detect lipid deposition in HepG2 cells of each group.ELISA method was applied to detect the levels of TG,TC,SOD and MDA in HepG2 cells in each group.Immunoblotting was used to detect the expression levels of UBA52,p62 and autophagy related proteins in HepG2 cells.Results Compared with the normal group,serum levels of ALT,AST,LDL-C,TC,TG and the expression of UBA52 protein in liver tissue were increased in the model group(P＜0.05),and the lipid deposition in liver increased,pathological damage was severe,and the proportion of lipid deposition area and non-alcoholic fatty liver disease(NAFLD)activity score were also increased(P＜0.05).Changes in the corresponding indicators in the ERI-L group and the ERI-H group were opposite to those of the model group(P＜0.05),and the ERI-H group was even lower(P＜0.05).The lipid deposition in liver decreased and the pathological damage was alleviated.Compared with the control group,the levels of TG,TC,MDA,the proportion of lipid droplet area and the expression of UBA52 protein were increased in HepG2 cells of the oleic acid-induced group,while the levels of SOD,p62 and LC3Ⅱ/LC3Ⅰ decreased(P＜0.05).Changes in the corresponding indicators of the low-concentration ERI group and the high-concentration ERI group were opposite to those of the oleic acid-induced group(P＜0.05),and the therapeutic effect of ERI on metabolic dysfuntion-associated steatotic liver disease was enhanced after knocking down the expression of UBA52.Conclusion ERI may slow down the progression of metabolic dysfuntion-associated steatotic liver disease by down-regulating the expression of UBA52 at both in vivo and in vitro levels.

Objective:To construct a prediction model for postoperative poor in-hospital prognosis in patients with traumatic brain injury (TBI) and evaluate its predictive performance.Methods:A retrospective case control study was conducted to analyze the clinical data of 1 120 TBI patients admitted to Changde Hospital Affiliated to Xiangya Medical College of Central South University from May 2019 to December 2024. The patients were divided into the training set ( n=784) and verification set ( n=336) at a ratio of 7∶3. Based on the Glasgow outcome scale-extended (GOS-E) at discharge, the training set was stratified into favorable prognosis group ( n=335, GOS-E 5-8 points) and poor prognosis group ( n=449, GOS-E 1-4 points). The two groups in the training set were compared in terms of general baseline indicators, TBI-related clinical indicators, and admission laboratory blood test results. Univariate analysis and Lasso regression analysis were employed to screen risk factors associated with postoperative poor in-hospital prognosis in TBI patients. Multivariate Logistic regression analysis was used to determine independent risk factors and construct a regression equation. The regression equation was presented using R language to create a visual nomogram for predicting postoperative poor in-hospital prognosis in TBI patients. In both the training set and verification set, the predictive performance of the model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC), plotting calibration curves, and performing decision curve analysis (DCA). Results:The results of the univariate analysis indicated that the age, Charlson complication index (CCI), time from trauma to admission, time from trauma to operation, cause of injury, abbreviated injury scale (AIS) (head and neck), injury severity score (ISS), admission Glasgow coma scale (GCS), admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraventricular hemorrhage, subarachnoid hemorrhage, decompressive craniotomy, intraoperative blood loss, intraoperative blood transfusion, traumatic cerebral infarction, postoperative delayed bleeding, epilepsy seizures, as well as the following admission tested results including red blood cell count, white blood cell count, platelet count, neutrophil percentage, percentage of lymphocytes, albumin, total bilirubin, urea nitrogen, thrombin time (TT), prothrombin time (PT), international standardized ratio (INR), glutamic aminotransferase, alanine aminotransferase, creatinine, and blood glucose were statistically different between the two groups in the training set ( P<0.05). Lasso regression analysis suggested 14 risk factors of age, CCI, cause of injury, head and neck AIS, ISS, admission GCS, admission pupil responsiveness, multiple craniocerebral injuries, subdural hematoma, intracerebral hematoma, intraoperative blood loss, admission platelet count, admission albumin, admission blood glucose for postoperative poor in-hospital prognosis. The results of the multivariate Logistic regression analysis showed that age ( OR=1.02, 95% CI 1.00, 1.03, P<0.01), CCI ( OR=1.46, 95% CI 1.02, 2.09, P<0.05), head and neck AIS ( OR=1.43, 95% CI 1.11, 1.85, P<0.01), ISS ( OR=2.16, 95% CI 1.39, 3.35, P<0.01), admission GCS ( OR=1.59, 95% CI 1.19, 2.13, P<0.01), intracerebral hematoma ( OR=4.41, 95% CI 2.15, 9.44, P<0.01), intraoperative blood loss ( OR=1.05, 95% CI 1.00, 1.09, P<0.05), admission platelet count ( OR=0.98, 95% CI 0.97, 0.99, P<0.01), admission blood glucose ( OR=1.08, 95% CI 1.02, 1.15, P<0.05) could be the main risk factors to construct a prediction model for postoperative poor in-hospital prognosis in TBI patients. Meanwhile, a regression equation was constructed: Logit[ P/(1- P)]=-2.4+ 0.02×"age"+0.38×"CCI"+0.36×"head and neck AIS"+0.77×"ISS"+0.47×"admission GCS"+1.48×"intracerebral hematoma"+0.05×intraoperative blood loss-0.02×admission platelet count+0.08×admission blood glucose. In the training set, the predictive model for poor postoperative in-hospital prognosis in TBI patients achieved an AUC of 0.87 (95% CI 0.84, 0.89), with a Youden′s index of 0.57, sensitivity of 73.70%, and specificity of 83.00%. In the verification set, the model showed an AUC of 0.80 (95% CI 0.76, 0.85), with a Youden′s index of 0.63, sensitivity of 65.20%, and specificity of 77.90%. In the training set, the Brier score for the calibration curve was 0.14 (95% CI 0.13, 0.16). In the verification set, the Brier score for the calibration curve was 0.18 (95% CI 0.15, 0.20). The DCA diagram indicated that the nomogram prediction model provided high clinical net benefit for predicting postoperative poor in-hospital prognosis in TBI patients. Conclusion:The prediction model for postoperative poor in-hospital prognosis in TBI patients, constructed based on age, CCI, head and neck AIS, ISS, admission GCS, intracerebral hematoma, intraoperative blood loss, admission platelet count, and admission blood glucose, exhibits good predictive performance.

Objective:To analyze the clinical features of pachydermoperiostosis (PDP) and improve its diagnostic level.Methods:A retrospective analysis was conducted on the clinical data of four patients with PDP treated at Sun Yat-sen Memorial Hospital, Sun Yat-sen University from 2015 to 2023, including clinical manifestations, laboratory tests, imaging examinations, and genetic testing results.Results:All four patients were male with an average onset age of 15 years old (ranging from 9 to 18 years old). One patient′s uncle had PDP, and another patient′s parents were consanguineous, though neither parent showed signs of PDP. All four patients exhibited clubbing, skin thickening, and acne; three had frontal bossing and deepened nasolabial folds; two showed scalp sulci changes on head MRI, and all had periosteal thickening of the phalanges visible on X-ray. One patient accompanied with hypokalemic nephropathy, and another had gastric ulcer. One patient underwent whole exome sequencing test which revealed a homozygous mutation, SLCO2A1 gene c.1406C>T, leading to a protein change p.Pro469Leu. Computational tools REVEL, SIFT, and Polyphen2 predicted this variant as deleterious.Conclusion:In addition to skin thickening, frontal bossing, scalp sulci changes, clubbing, and periosteal proliferation, patients with PDP may also present with hypokalemic nephropathy and gastric ulcer. The SLCO2A1 gene c.1406C>T mutation may be pathogenic.

Objective To investigate the effect of Eriodictyol(ERI)on the development of metabolic dysfunction-associated steatotic liver disease by regulating the expression of ubiquitin A 52(UBA52)at both in vivo and in vitro levels.Methods A mouse metabolic dysfunction-associated steatotic liver disease model was established using a high-fat diet induction.The mice were randomly separated into the normal control group(normal group),the model group,the low-dose ERI group(ERI-L group,50 mg/kg ERI)and the high-dose ERI group(ERI-H group,100 mg/kg ERI),with 12 mice in each group.Oil red O staining was applied to observe lipid deposition in mouse liver tissue.HE staining was applied to observe pathological changes in mouse liver tissue.ELISA method was applied to detect serum levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC)and triglycerides(TG)in mice.The expression of UBA52 protein in liver was detected by Western blot assay.HepG2 cells were treated with 0.5 mmol/L oleic acid to induce an in vitro metabolic dysfunction-associated steatotic liver disease model.HepG2 cells were randomly divide into the control group,the oleic acid induced group,the low concentration ERI group(ERI low group,50 μmol/L ERI),the high concentration ERI group(ERI high group,100 μmol/L ERI),the high concentration ERI+si-NC group(ERI high+si-NC group,100 μmol/L ERI+transfected with si-NC)and the high concentration ERI+si-UBA52 group(ERI high+si-UBA52 group,100 μmol/L ERI+transfected with si-UBA52).Oil red O staining was applied to detect lipid deposition in HepG2 cells of each group.ELISA method was applied to detect the levels of TG,TC,SOD and MDA in HepG2 cells in each group.Immunoblotting was used to detect the expression levels of UBA52,p62 and autophagy related proteins in HepG2 cells.Results Compared with the normal group,serum levels of ALT,AST,LDL-C,TC,TG and the expression of UBA52 protein in liver tissue were increased in the model group(P＜0.05),and the lipid deposition in liver increased,pathological damage was severe,and the proportion of lipid deposition area and non-alcoholic fatty liver disease(NAFLD)activity score were also increased(P＜0.05).Changes in the corresponding indicators in the ERI-L group and the ERI-H group were opposite to those of the model group(P＜0.05),and the ERI-H group was even lower(P＜0.05).The lipid deposition in liver decreased and the pathological damage was alleviated.Compared with the control group,the levels of TG,TC,MDA,the proportion of lipid droplet area and the expression of UBA52 protein were increased in HepG2 cells of the oleic acid-induced group,while the levels of SOD,p62 and LC3Ⅱ/LC3Ⅰ decreased(P＜0.05).Changes in the corresponding indicators of the low-concentration ERI group and the high-concentration ERI group were opposite to those of the oleic acid-induced group(P＜0.05),and the therapeutic effect of ERI on metabolic dysfuntion-associated steatotic liver disease was enhanced after knocking down the expression of UBA52.Conclusion ERI may slow down the progression of metabolic dysfuntion-associated steatotic liver disease by down-regulating the expression of UBA52 at both in vivo and in vitro levels.

OBJECTIVE To evaluate the ameliorative effect of Juanbi Tongluo Oral Liquid on sciatic neuronal apoptosis in Type 2 diabetic model mice.METHODS The Type 2 diabetes mouse model was established by feeding with high-fat and high-sugar diet combined with intraperitoneal injection of streptozotocin(STZ).The mice were treated with metformin(200 mg·kg-1·d-1),low dose(3.9 g·kg-1·d-1)and high dose(7.8 g·kg-1·d-1)Juanbi Tongluo Oral Liquid for 35 days.The latency of response to thermal stimu-lation was detected by hot plate,and the values of blood glucose insulin and glycosylated hemoglobin were determined.Biochemical kits were used to detect the expression of serum total cholesterol(T-CHO),triglyceride(TG),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C),superoxide dismutase(SOD),catalase(CAT),glutathione peroxidase(GSH-Px)and oxidation product malondialdehyde(MDA).The expression of tumor cytokine α(TNF-α),interleukin(IL)-1β,IL-6 and IL-10 in serum of mice were detected by ELISA method;the injury of sciatic nerve of model mice was detected by HE staining;the apoptosis of sciatic nerve was detected by TUNEL method;and the expression of neurofilament protein NF-L,apoptosis(cleaved Caspase-3,Caspase-3)and oxidative stress(Nrf2,HO-1)signal pathway proteins in sciatic nerve of model mice were detected by Western blot method.RESULTS High-dose Juanbi Tongluo Oral Liquid shortened the latent period of heat pain response in model mice(P<0.01);downregulated fasting blood glucose and glycated hemoglobin(P<0.01),and upregulated fasting plasma insulin in model mice(P<0.01);downregulated serum T-CHO,TG,and LDL-C levels(P<0.01),upregulated HDL-C levels(P<0.01);downregulated serum pro-inflammatory factors TNF-α,IL-1β and IL-6 levels(P<0.05),upregulated the anti-inflammatory cyto-kine IL-10 level(P<0.01);inhibited sciatic nerve structural damage and apoptosis(P<0.05);downregulated the ratio of cleaved Caspase-3 to Caspase-3 in the apoptosis pathway(P<0.01);upregulated the expression of neurofilament proteins NF-L and NF-H in sciatic nerve tissue(P<0.05,P<0.01);and upregulated the expression of antioxidant stress proteins Nrf2 and HO-1(P<0.01).CONCLUSION Juanbi Tongluo Oral Liquid can improve sciatic neuronal apoptosis of Type 2 diabetic mice,which may be related to its effect on improving oxidative stress and inflammatory stress.