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 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.

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 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 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 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.

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 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.

Under the background of climate change, the escalating air pollution and extreme weather events have been identified as risk factors for chronic respiratory diseases (CRD), causing serious public health burden worldwide. This review aims to summarize the effects of changed atmospheric environment caused by climate change on CRD. Results indicated an increased risk of CRD (mainly COPD, asthma) associated with environmental factors, such as air pollutants, adverse meteorological conditions, extreme temperatures, sandstorms, wildfire, and atmospheric allergens. Furthermore, this association can be modified by factors such as socioeconomic status, adaptability, individual behavior, medical services. Potential pathophysiological mechanisms linking climate change and increased risk of CRD involved pulmonary inflammation, immune disorders, oxidative stress. Notably, the elderly, children, impoverished groups and people in regions with limited adaptability are more sensitive to respiratory health risks caused by climate change. This review provides a reference for understanding risk factors of CRD in the context of climate change, and calls for the necessity of adaptive strategies. Further interdisciplinary research and global collaboration are needed in the future to enhance adaptability and address climate health inequality.
Climate Change ; Humans ; Air Pollution/adverse effects* ; Risk Factors ; Respiratory Tract Diseases/etiology* ; Chronic Disease ; Air Pollutants/adverse effects* ; Environmental Exposure/adverse effects*