Objective To explore the correlation between the expression level of serum fibrinogen-like protein 1(FGL1)and the indexes of metabolism and renal function in patients with diabetic nephropathy(DN)and diabetes mellitus(DM),and provide reference for clinical diagnosis and treatment.Methods From January 2017 to April 2023,30 patients with DM and treated in Jiangsu Province Hospital of Chinese Medicine were selected as the DM group,68 patients with DN were selected as the DN group,and 36 healthy subjects were selected as the control group.The DN group was further divided into the early DN(DN-E)group(n=38)and the late DN(DN-A)group(n=30)according to whether there was a large amount of proteinuria and the severity.Clinical data such as serum albumin(ALB),estimated glomerular filtration rate(eGFR)and albumin-to-creatinine ratio(ACR)were collected.Serum FGL1 level was detected by enzyme-linked immunosorbent assay(ELISA).Pearson linear correlation was used for correlation,the diagnostic value was analyzed by ROC curve.Results Compared with the control group,the levels of ACR,FGL1 in patients with DM group increased,the levels of eGFR decreased,and the differences were statistically significant(t=5.686,4.336,-4.683,all P<0.05).Compated with the DM group,the levels of ACR,FGL1 in patients with DN-E group was increased,and the level of eGFR was decreased,and the differences were statistically significant(t=5.275,3.454,-4.969,all P<0.05).Compared with the DN-E group,the levels of ACR,FGL1 in the DN-A group were increased,the levels of eGFR were decreased,and the differences were statistically significant(t=7.881,7.051,-5.596,all P<0.05).Serum FGL1 level was negatively correlated with ALB and eGFR(r=-0.638,-0.547,all P<0.05),and positively correlated with ACR(r=0.691,P<0.05).The AUC(95%CI),specificity and sensitivity of serum FGL1 level in the diagnosis of DN were 0.947(0.908～0.987),100%and 82.4%,respectively.Conclusion The level of serum FGL1 in DN and DM patients is high,and the level of serum FGL1 is closely related to the common metabolic indexes such as ALB,eGFR and ACR in the diagnosis of DN,which may have certain clinical diagnostic value.

Trifluridine-tipiracil(TAS-102),as a novel fluorouracil-based chemotherapeutic agent,effectively overcomes fluorouracil resistance in colorectal cancer(CRC)through its unique pharmacological mechanisms,providing a critical treatment option for advanced CRC patients.Probiotics have shown unique value in CRC prevention and adjuvant therapy by regulating intestinal flora homeostasis and modulating host immune response.It is worth noting that the combination of chemotherapeutic drugs and probiotics not only enhances the anti-tumor activity through synergistic effects,but also reduces the adverse effects caused by chemotherapeutic drugs.Based on this,this paper systematically reviews the pharmacological properties of TAS-102 and describes its synergistic effects in combination with other antitumor drugs.It also summarizes the synergistic effect of fluorouracil drugs combined with probiotics to enhance the effectiveness and reduce the toxicity,and discusses the potential value of the combination of TAS-102 and probiotics,which provides a new research direction for optimizing the precision treatment of CRC and a scientific basis for improving the quality of life of patients.

Objective To investigate the postoperative changes of tear cytokines in patients with advanced refractory glaucoma and their impact on ocular surface-related indicators.Methods In total,120 patients(240 eyes)with advanced refractory glaucoma admitted from January 2023 to June 2024 were selected as the observation group,all of whom underwent glaucoma drainage device(GDD)implantation.Another 85 healthy individuals(170 eyes)who underwent ophthalmic examinations during the same period were selected as the control group.The changes in tear cytokine levels[interleukin-1α(IL-1α),interleukin-2(IL-2),tumor necrosis factor-α(TNF-α),transforming growth factor-β(TGF-β),interleukin-10(IL-10),vascular endothelial growth factor(VEGF)]and ocular surface-related indicators[tear film break-up time(BUT),Schirmer I test(SIt)values,and corneal fluorescein staining(CFS)scores]were observed and recorded at 1 d before surgery and at 1,7,30,and 60 d after surgery in the observation group,and the levels of the above indicators were compared with those in the control group.Pearson correlation analysis was used to investigate the correlation between changes in IL-1α,IL-2,TNF-α,TGF-β,IL-10,VEGF levels and SIt values,CFS scores,and BUT.Results There were significant differences in the levels of IL-1α,IL-2,TNF-α,TGF-β,IL-10,and VEGF in the observation group when compared at 1 d before surgery and at 1,7,and 30 d after surgery(P<0.05).There was no significant difference in the levels of IL-1α,IL-2,TNF-α,TGF-β,IL-10,and VEGF in the observation group when compared at 1 d before surgery and at 60 d after surgery(P>0.05),nor significant difference compared with the control group(P>0.05).The differences in BUT,SIt values,and CFS scores in the observation group at 1 d before surgery and at 1,30,and 60 d after surgery were statistically significant(P<0.05),and the levels of the above indicators in the observation group were comparable to those in the control group at 60 d after surgery(P>0.05).Pearson correlation analysis showed that IL-1α,IL-2,TNF-α,TGF-β,IL-10,and VEGF in the observation group were positively correlated with SIt value and CFS score,and negatively correlated with BUT(P<0.05).Conclusion In the early postoperative period(1-30 d),the levels of IL-1α,IL-2,TNF-α,TGF-β,IL-10,and VEGF in the tears of patients with advanced refractory glaucoma are significantly increased,and returned to preoperative levels at 60 d after surgery.The above cytokines are positively correlated with SIt values and CFS scores,and negatively correlated with BUT.

Objective To explore the diagnostic efficacy of machine learning in predicting perineural invasion(PNI)of invasive breast cancer based on MRI imaging features of breast cancer.Methods The data of 294 patients with invasive breast cancer confirmed by surgical pathology were retrospectively analyzed,and the patients were randomly divided into training set(205 cases,PNI 77 cases)and validation set(89 cases,PNI 33 cases)at a ratio of 7∶3.10 machine learning models were constructed by selecting training set clinical and radiographic features using single factor logistic regression.The area under the curve(AUC),accuracy(ACC),sensitivity(SE),specificity(SP),positive predictive value(PPV),and negative predictive value(NPV)were used to evaluate the predictive effi-cacy of different models for PNI,and the best model was determined.SHapley Additive exPlanation(SHAP)was used to visuaize the diagnosis process of the model.Results In the validation set,the multi-layer perceptron(MLP)model performed best,with AUC,ACC,SE,SP,PPV,and NPV of 0.91,0.89,0.79,0.95,0.90,and 0.88,respectively.Conclusion The model of MRI imaging fea-tures of breast cancer constructed by MLP machine learning model can effectively predict the preoperative PNI of invasive breast cancer.

Objective:To investigate the effects of intravenous lidocaine infusion (IVLI) on the quality of intraoperative neurophysiologic monitoring (IONM) in patients with thyroid tumor.Methods:A prospective randomized controlled study was conducted. A total of 60 patients with thyroid tumor undergoing thyroidectomy in the First Clinical Medical College of Shanxi Medical University between September 2022 and May 2023 were selected. According to the random number table method, all patients were divided into the lidocaine group and the control group, 30 cases in each group. The patients in the lidocaine group were continually given IVLI during the operation and the patients in the control group were continually given the equal 0.9% NaCl solution infusion during the operation. All patients in the 2 groups were induced by the same way of total intravenous anesthesia, and no muscle relaxants were added during anesthesia except the induction dose, and enhanced nerve monitoring tracheal catheter was inserted in the 2 groups. According to the standardized procedure of IONM, the electrode impedance values were measured at the time of eliciting the V1 and V2 signals from the vagus nerve, respectively, and the difference value was defined as the drop in the aggregate impedance level (DAIL). DAIL, perioperative hemodynamic parameters and postoperative recovery quality were compared between the 2 groups.Results:There were no statistically significant differences in the baseline data, operation time, intraoperative dosage of propofol and remifentanil between the 2 groups (all P > 0.05). Compared with the control group, the lidocaine group had a higher proportion of patients with DAIL<50% [80.0% (24/30) vs. 40.0% (12/30), χ2 = 10.00, P = 0.002], a lower hemodynamic fluctuation during extubation [mean arterial pressure: (95±6) mmHg (1 mmHg = 0.133 kPa) vs. (104±7) mmHg, t = 31.00, P < 0.001; heart rate: (73±5) times/min vs. (92±6) times/min, t = 172.58, P < 0.001], a lower visual analog score 24 h after surgery [(2.0±0.7) scores vs. (3.7±0.8) scores, t = -8.86, P < 0.001], a higher score of quality of recovery-15 scale [(127±11) points vs. (118±13) points, t = 2.92, P = 0.005]. Conclusions:IVIL can improve the quality of IONM in patients with thyroid tumor during surgery, reduce perioperative hemodynamic fluctuation and improve postoperative recovery quality of patients.

Objective To explore the diagnostic efficacy of machine learning in predicting perineural invasion(PNI)of invasive breast cancer based on MRI imaging features of breast cancer.Methods The data of 294 patients with invasive breast cancer confirmed by surgical pathology were retrospectively analyzed,and the patients were randomly divided into training set(205 cases,PNI 77 cases)and validation set(89 cases,PNI 33 cases)at a ratio of 7∶3.10 machine learning models were constructed by selecting training set clinical and radiographic features using single factor logistic regression.The area under the curve(AUC),accuracy(ACC),sensitivity(SE),specificity(SP),positive predictive value(PPV),and negative predictive value(NPV)were used to evaluate the predictive effi-cacy of different models for PNI,and the best model was determined.SHapley Additive exPlanation(SHAP)was used to visuaize the diagnosis process of the model.Results In the validation set,the multi-layer perceptron(MLP)model performed best,with AUC,ACC,SE,SP,PPV,and NPV of 0.91,0.89,0.79,0.95,0.90,and 0.88,respectively.Conclusion The model of MRI imaging fea-tures of breast cancer constructed by MLP machine learning model can effectively predict the preoperative PNI of invasive breast cancer.

Objective:To evaluate the clinical utility of left atrial strain parameters and left atrioventricular global longitudinal strain（LAVGLS）in detecting cardiovascular immune-related adverse events（CV-irAEs）among non-small cell lung cancer patients receiving immune checkpoint inhibitors（ICIs）.Methods:A total of 68 patients with non-small cell lung cancer were prospectively enrolled in Tianjin Medical University Cancer Institute and Hospital from October 2023 to October 2024. All patients were treated with ICIs for 6 cycles. Electrocardiogram，cardiac serological markers and echocardiography were examined before medication（T0 stage），4 cycles after medication（T1 stage）and 6 cycles after medication（T2 stage），respectively. According to the guidelines of the American Society of Clinical Oncology，all patients were divided into the CV-irAEs group（ n=14）and the No-CV-irAEs group（ n=54）. AFI software and 4D Auto LAQ software were used to calculate LVGLS，left atrial reservoir longitudinal strain（LASr），LAVGLS and a series of left atrial parameters. Cox proportional hazards regression model was applied to find the risk factors for the occurrence of CV-irAEs. ROC curve was applied to analyze the diagnostic efficiency of these parameters for CV-irAEs. Results:Fourteen patients（20.6%）developed CV-irAEs after T2 stage. After ICIs treatment，LVGLS，LASr and LAVGLS decreased in both groups，LVGLS，LASr and LAVGLS decreased more significantly in the CV-irAEs group than those in the No-CV-irAEs group（ P=0.038，0.047，0.005）. Left ventricular ejection fraction（LVEF）decreased in the CV-irAEs group at the same time（ P=0.003）. Cox multivariate analysis showed that ΔLAVGLS（the difference between stage T0 and stage T2）was a risk factor for CV-irAEs（ HR：1.395， P=0.019）. ROC curve analysis showed the area under the curve of LVGLS，LASr，LAVGLS，ΔLVGLS，ΔLASr，ΔLAVGLS，and LVEF at the T2 stage for diagnosis of CV-irAEs were 0.68，0.67，0.75，0.79，0.73，0.82，and 0.72，respectively. Conclusions:Decline of LAVGLS is a risk factor for CV-irAEs in patients with non-small cell lung cancer receiving ICIs and can be used for early detection of CV-irAEs. LASr has potential diagnostic value for CV-irAEs，but it is less valuable than LVGLS and LAVGLS.

Ultrasonography（US）is the first-line imaging modality recommended by domestic and international guidelines for liver tumor screening，owing to its non-invasive nature，real-time dynamic imaging capability，cost-effectiveness，and operational convenience. In recent years，the integration of artificial intelligence（AI）and medical imaging has emerged as a major research focus. By leveraging large-scale data training，AI models can automatically recognize and analyze input imaging data and generate predictive outcomes. Notably，AI-based ultrasound imaging technology has achieved breakthrough advancements in the diagnosis and treatment of liver tumors. These innovations significantly improve diagnostic accuracy，optimize treatment strategies，predict disease progression and prognosis，and monitor therapeutic response. This article provides a comprehensive review of the latest applications and research progress of AI in ultrasound-based diagnosis and treatment of liver tumors.

Objective To investigate the postoperative changes of tear cytokines in patients with advanced refractory glaucoma and their impact on ocular surface-related indicators.Methods In total,120 patients(240 eyes)with advanced refractory glaucoma admitted from January 2023 to June 2024 were selected as the observation group,all of whom underwent glaucoma drainage device(GDD)implantation.Another 85 healthy individuals(170 eyes)who underwent ophthalmic examinations during the same period were selected as the control group.The changes in tear cytokine levels[interleukin-1α(IL-1α),interleukin-2(IL-2),tumor necrosis factor-α(TNF-α),transforming growth factor-β(TGF-β),interleukin-10(IL-10),vascular endothelial growth factor(VEGF)]and ocular surface-related indicators[tear film break-up time(BUT),Schirmer I test(SIt)values,and corneal fluorescein staining(CFS)scores]were observed and recorded at 1 d before surgery and at 1,7,30,and 60 d after surgery in the observation group,and the levels of the above indicators were compared with those in the control group.Pearson correlation analysis was used to investigate the correlation between changes in IL-1α,IL-2,TNF-α,TGF-β,IL-10,VEGF levels and SIt values,CFS scores,and BUT.Results There were significant differences in the levels of IL-1α,IL-2,TNF-α,TGF-β,IL-10,and VEGF in the observation group when compared at 1 d before surgery and at 1,7,and 30 d after surgery(P<0.05).There was no significant difference in the levels of IL-1α,IL-2,TNF-α,TGF-β,IL-10,and VEGF in the observation group when compared at 1 d before surgery and at 60 d after surgery(P>0.05),nor significant difference compared with the control group(P>0.05).The differences in BUT,SIt values,and CFS scores in the observation group at 1 d before surgery and at 1,30,and 60 d after surgery were statistically significant(P<0.05),and the levels of the above indicators in the observation group were comparable to those in the control group at 60 d after surgery(P>0.05).Pearson correlation analysis showed that IL-1α,IL-2,TNF-α,TGF-β,IL-10,and VEGF in the observation group were positively correlated with SIt value and CFS score,and negatively correlated with BUT(P<0.05).Conclusion In the early postoperative period(1-30 d),the levels of IL-1α,IL-2,TNF-α,TGF-β,IL-10,and VEGF in the tears of patients with advanced refractory glaucoma are significantly increased,and returned to preoperative levels at 60 d after surgery.The above cytokines are positively correlated with SIt values and CFS scores,and negatively correlated with BUT.

Objective To explore the correlation between the expression level of serum fibrinogen-like protein 1(FGL1)and the indexes of metabolism and renal function in patients with diabetic nephropathy(DN)and diabetes mellitus(DM),and provide reference for clinical diagnosis and treatment.Methods From January 2017 to April 2023,30 patients with DM and treated in Jiangsu Province Hospital of Chinese Medicine were selected as the DM group,68 patients with DN were selected as the DN group,and 36 healthy subjects were selected as the control group.The DN group was further divided into the early DN(DN-E)group(n=38)and the late DN(DN-A)group(n=30)according to whether there was a large amount of proteinuria and the severity.Clinical data such as serum albumin(ALB),estimated glomerular filtration rate(eGFR)and albumin-to-creatinine ratio(ACR)were collected.Serum FGL1 level was detected by enzyme-linked immunosorbent assay(ELISA).Pearson linear correlation was used for correlation,the diagnostic value was analyzed by ROC curve.Results Compared with the control group,the levels of ACR,FGL1 in patients with DM group increased,the levels of eGFR decreased,and the differences were statistically significant(t=5.686,4.336,-4.683,all P<0.05).Compated with the DM group,the levels of ACR,FGL1 in patients with DN-E group was increased,and the level of eGFR was decreased,and the differences were statistically significant(t=5.275,3.454,-4.969,all P<0.05).Compared with the DN-E group,the levels of ACR,FGL1 in the DN-A group were increased,the levels of eGFR were decreased,and the differences were statistically significant(t=7.881,7.051,-5.596,all P<0.05).Serum FGL1 level was negatively correlated with ALB and eGFR(r=-0.638,-0.547,all P<0.05),and positively correlated with ACR(r=0.691,P<0.05).The AUC(95%CI),specificity and sensitivity of serum FGL1 level in the diagnosis of DN were 0.947(0.908～0.987),100%and 82.4%,respectively.Conclusion The level of serum FGL1 in DN and DM patients is high,and the level of serum FGL1 is closely related to the common metabolic indexes such as ALB,eGFR and ACR in the diagnosis of DN,which may have certain clinical diagnostic value.