Objective:To discuss the associations of mismatch repair(MMR)in gastric cancer with preoperative inflammatory indicators and clinicopathological features in the gastric cancer patients,and to construct a gastric cancer MMR predictive model based on preoperative inflammatory indicators and clinicopathological features of the gastric cancer patients,and to provide new ideas for evaluation of MMR status in gastric cancer.Methods:The data of 254 gastric cancer patients who underwent surgical treatment from September 2020 to October 2023 were included.According to the expression of MMR protein,the patients were divided into MMR normal(proficiout MMR,pMMR)group and MMR deficient(dMMR)group.The preoperative inflammatory indicators and clinicopathological features data of the gastric cancer patients in two groups were collected.The associations between inflammatory indicators,clinicopathological features,and MMR in dMMR group and pMMR group were analyzed using Chi-square test.The independent predictive factors for dMMR were selected to construct the nomogram.Receiver operating characteristic(ROC)curve and calibration curve were used to evaluate the predictive efficacy,and decision curve was used to evaluate the practicality of the predication model.Results:A total of 254 gastric cancer patients were included in the study,with 221 patients(87％)in pMMR group and 33 patients(13％)in dMMR group.There were statistically significant differences(P＜0.05)in age,tumor location,tumor differentiation degree,maximum tumor diameter,platelet-to-lymphocyte ratio(PLR),alkaline phosphatase(AKP),alkaline phosphatase-to-albumin ratio(AAR),fibrinogen(FB)-to-lymphocyte(FLR),FB-to-albumin(AL)(FAR),D-dimer(D-D),and FB of the gastric cancer patients between dMMR group and pMMR group.Univariate and multivariate Logistic regression analysis revealed maximum tumor diameter[odd ratio(OR)=2.958,95％confidence interval(CI):1.196-7.314,P=0.019],tumor location(OR=4.013,95％CI:1.596-10.089,P=0.003),tumor differentiation(OR=3.006,95％CI:1.250-7.230,P=0.014),FAR(OR=2.793,95％CI:1.179-6.616,P=0.020),and carbohydrate antigen 199(CA199)(OR=0.279,95％CI:0.084-0.929,P-0.038)were the independent predictors of dMMR.The area under the ROC curve(AUC)value of the gastric cancer MMR prediction model constructed based on inflammatory indicators and clinical pathological characteristics was 0.800 with the sensitivity of 0.851 and the specificity of 0.606.The calibration curve of the nomogram was found to fit the ideal curve well,and in Hosmer-Lemeshow test P=0.412,the clinical decision curve showed a better net benefit.Conclusion:The preoperative inflammatory indicators and clinicopathological features are associated with MMR in gastric cancer;maximum tumor diameter,tumor location,tumor differentiation,CA199,and FAR are the independent predictors of dMMR.The prediction model based on the above predictors could predict the MMR status of the dMMR gastric cancer patients.

Objective To screen for key genes and important pathways common for different etiologies of acute kidney injury(AKI)by pathway-associated deep neural network and multiple machine learning algorithms.Methods AKI microarray datasets GSE30718,GSE37838,GSE53769,GSE108113,GSE125779,GSE99325,and GSE174020 downloaded from the Gene Expression Omnibus(GEO)database were merged,including 60 kidney samples from AKI patients and 79 kidney samples from healthy controls.They were divided(8∶2)into training sets and test sets,and were used to train and evaluate pathway-associated deep neural network and 4 machine learning algorithms,including least absolute shrinkage and selection operator(LASSO),random forest(RF),support vector machine-recursive feature elimination(SVM-RFE),and extreme gradient boosting(XgBoost),to screen for common key genes and pathways of different etiologies of AKI.The downloaded datasets GSE99340 and GSE1563 were merged,including 43 kidney samples from AKI patients and 36 kidney samples from healthy controls,which were used as external validation sets for LASSO model and nomogram performance test based on the final screened genes.The pathway-associated deep neural network and machine learning algorithms were evaluated using receiver operating characteristic curves,precision,recall,accuracy,and F1-score.The immune cell infiltration characteristics were explored in AKI via cell-type identification by estimating relative subsets of RNA transcripts(CIBERSORT),and Pearson correlation coefficients were used to evaluate the correlation between the final screened common key genes and immune cell infiltration levels.Results The pathway-associated deep neural network trained by 5-fold cross validation produced an area under curve(AUC)of 0.914 5±0.007 0,a precision of 0.750 0±0.044 0,a recall of 0.923 1±0.048 0,an accuracy of 0.838 7±0.016 0,and an F1-score of 0.827 6±0.020 0 in the test set,yielding a robust and highly accurate classification performance for AKI,and identified key pathways and a subset of candidate genes.The 4 machine learning algorithms all achieved high discriminative performance for AKI in the test set with AUC≥0.860,precision≥0.750,recall≥0.800,and F1-score≥0.774,and screened 7 common key genes for AKI with different etiologies,including CD86,C-X-C motif chemokine ligand 10(CXCL10),dynamin 2(DNM2),proto-oncogene FOS,transcription factor 12(TCF12),VGF nerve growth factor inducible(VGF),and A kinase anchoring protein 5(AKAP5).Based on the final screened common key genes,the LASSO model had an AUC of 0.940 4 for the test set and an AUC of 0.944 4 for the external validation,and the model showed a very high discriminatory ability for the AKI,which demonstrated the overall regulatory performance of the genes.The nomogram constructed based on the screened 7 genes demonstrated the highest classification performance with an AUC of 0.928 9,validating the outstanding contribution and overall action performance of the screened individual genes.Immune cell infiltration analysis showed that there were significant differences in B cells na?ve,mast cells activated,monocytes,macrophages M1,B cells memory,and dendritic cells activated between AKI samples and healthy control samples(all P＜0.05).Macrophages M1 and monocytes were positively correlated with CD86 and CXCL10,mast cells activated were positively correlated with FOS,and B cells na?ve were negatively correlated with CD86 and CXCL10(all P＜0.01).Mast cells activated were positively correlated with VGF and negatively correlated with CD86 and TCF12,while memory B cells were positively correlated with CD86(all P＜0.05).Conclusion Strategy combining pathway-associated deep neural network and multiple machine learning classifiers can mine high-value key genes from high-dimensional,complex and heterogeneous transcriptomic data as potential targets for therapeutic interventions in AKI.

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.

Objective:To retrospectively analyze the treatment status of tyrosine kinase inhibitors (TKI) in newly diagnosed patients with chronic myeloid leukemia (CML) in China.Methods:Data of chronic phase (CP) and accelerated phase (AP) CML patients diagnosed from January 2006 to December 2022 from 77 centers, ≥18 years old, and receiving initial imatinib, nilotinib, dasatinib or flumatinib-therapy within 6 months after diagnosis in China with complete data were retrospectively interrogated. The choice of initial TKI, current TKI medications, treatment switch and reasons, treatment responses and outcomes as well as the variables associated with them were analyzed.Results:6 893 patients in CP ( n=6 453, 93.6%) or AP ( n=440, 6.4%) receiving initial imatinib ( n=4 906, 71.2%), nilotinib ( n=1 157, 16.8%), dasatinib ( n=298, 4.3%) or flumatinib ( n=532, 7.2%) -therapy. With the median follow-up of 43 ( IQR 22-75) months, 1 581 (22.9%) patients switched TKI due to resistance ( n=1 055, 15.3%), intolerance ( n=248, 3.6%), pursuit of better efficacy ( n=168, 2.4%), economic or other reasons ( n=110, 1.6%). The frequency of switching TKI in AP patients was significantly-higher than that in CP patients (44.1% vs 21.5%, P<0.001), and more AP patients switched TKI due to resistance than CP patients (75.3% vs 66.1%, P=0.011). Multi-variable analyses showed that male, lower HGB concentration and ELTS intermediate/high-risk cohort were associated with lower cytogenetic and molecular responses rate and poor outcomes in CP patients; higher WBC count and initial the second-generation TKI treatment, the higher response rates; Ph + ACA at diagnosis, poor PFS. However, Sokal intermediate/high-risk cohort was only significantly-associated with lower CCyR and MMR rates and the poor PFS. Lower HGB concentration and larger spleen size were significantly-associated with the lower cytogenetic and molecular response rates in AP patients; initial the second-generation TKI treatment, the higher treatment response rates; lower PLT count, higher blasts and Ph + ACA, poorer TFS; Ph + ACA, poorer OS. Conclusion:At present, the vast majority of newly-diagnosed CML-CP or AP patients could benefit from TKI treatment in the long term with the good treatment responses and survival outcomes.

Objective To investigate the intervention effects and mechanism of icariin on prostate cancer based on network pharmacology and animal experiments.Methods The targets of icariin were predicted using the SwissTargetPrediction database.Protein-protein interaction networks were constructed with the String database,and core targets were screened using Cytoscape 3.9.1.GO and KEGG enrichment analysis on core targets were conducted with the Metascape database to predict the mechanism of action.A PC-3 tumor-bearing mouse model of prostate cancer was established to observe the inhibitory effects of icariin alone and in combination with paclitaxel on tumor growth.Results Network pharmacology predictions suggested that icariin has potential therapeutic effects on prostate cancer,with core targets potentially including serine/threonine kinase 1(AKT1),B-cell lymphoma-2(BCL2),epidermal growth factor receptor(EGFR),heat shock protein 90 alpha family class A member 1(HSP90AA1),heat shock protein 90 alpha family class B member 1(HSP90AB1),nuclear factor kappa B subunit 1(NF-κB1),tumor protein p53,etc.Animal experiments found that compared with the model control group,the tumor volume growth in the icariin group and the paclitaxel group was significantly inhibited,and the serum tumor necrosis factor content was significantly reduced,while testosterone levels did not change significantly.Both groups significantly downregulated the mRNA expression of Notch1,Jagged1 and Hes1(P<0.05),with the combined treatment group showing a more significant inhibitory effect.Conclusions Both network pharmacology and animal experimental results confirmed that icariin has a significant inhibitory effect on prostate cancer.One of the mechanisms of its anti-tumor effects may be the significant inhibition of the activated Notch signaling pathway in tumors.

Neurodegenerative diseases are a type of disease characterized by specific types of neuronal loss and progressive progression,mainly represented by Alzheimer's disease and Parkinson's disease.This type of disease,due to its intractable and irreversible symptoms,brings great physical and psychological burden to patients,which is seriously disturbing their normal life.In terms of treatment,there is currently no specific treatment for Alzheimer's disease in clinical practice,and first-line treatment drugs for Parkinson's disease also have great limitations.In traditional Chinese medicine,kidney governs bone,generates marrow,and connects to the brain.In clinical evidence typing,premature aging,fatigue and forgetfulness,and tremor of limbs caused by kidney deficiency and medullary reduction are considered to be the main pathologies of these diseases.Di-Huang-Yin-Zi decoction which is derived from the"General Records of Holy Universal Relief",is recorded as a good formula for nourishing kidney yin and filling kidney yang.Clinical data shows that this formula has significant therapeutic effects in treating neurodegenerative diseases caused by kidney essence deficiency.Modern research results indicate that its mechanism of action involves inhibiting inflammatory reactions,regulating mitochondrial autophagy,reversing The hypothalamic-pituitary-adrenal axis abnormalities,and neuroprotection.The main effective ingredients in this formula include loganin,echinarin,and schisandrin A.This article aims to summarize and analyze the clinical efficacy,mechanism of action,and active ingredients of Di-Huang-Yin-Zi decoction in the treatment of Alzheimer's and Parkinson's disease in recent years,in order to clarify the research status of Di-Huang-Yin-Zi decoction in the neurodegenerative disease and provide reference for further research.

Objective To prepare rat models of liver stagnation syndrome constipation-type irritable bowel syndrome(IBS-C)using single and multi-factor modeling method with different indicators,to provide ideal experimental animal models of IBS-C.Methods Forty-two SD rats were divided randomly into blank(Normal),cold-water gavage(Cold),restraint(Restrain),tail-clamping(Tail),cold-water gavage + restraint(C + R),and cold-water gavage + tail-clamping groups(C + T).Body weight,food intake,water intake,and survival status,as well as open-field behavior,fecal Bristol score,visceral sensitivity,and small intestine propulsion were observed in each group during the modeling period.Pathological changes in the rat colon were observed by hematoxylin and eosin staining,and the serum and colon contents of 5-hydroxytryptamine(5-HT)and vasoactive intestinal peptide(VIP)were determined by enzyme-linked immunosorbent assay.Results The body weight in each group decreased after modeling(P<0.05,P<0.01),the food and water intakes decreased,and serum 5-HT levels increased.The number of fecal particles and Bristol score decreased while the colon 5-HT content increased in the Cold group(P<0.05,P<0.01);the total distance and average speed of the restraint group in the open field decreased(P<0.01);the preference for sugar water in the Tail group decreased(P<0.01);the preference for sugar water,total open-field distance,small intestine propulsion rate,defecation particles,and Bristol score all decreased,while the colon 5-HT content increased and the VIP content decreased in the C + T group(P<0.05,P<0.01);and the total distance,average speed,and VIP content in the colon decreased in the C + R group(P<0.05).Except for the Tail group,all the model groups showed visceral hypersensitivity(P<0.05,P<0.01)compared to the blank group at various pressure values on days 7 and 14 of modeling.Pathological observations showed no significant inflammatory cell infiltration or pathological changes in any of the model groups.Conclusions The combination of ice-water gastric lavage and tail clamping can be used to establish a rat model of liver depression syndrome in IBS-C.This may be the best of the five tested method,and the resulting model may lay the foundation for further systematic and in-depth research into the mechanism of traditional Chinese medicine in preventing and treating IBS-C.

Objective:To investigate the effectiveness of abdominal compression in tumor motion and the target volume, and analyze the suitable margins of planning target volume (PTV) for patients treated with lung-SBRT based on 4DCT.Methods:Patients diagnosed with peripheral pulmonary tumor were enrolled. The patients were divided into the whole group, upper-middle-lobe group (group A) and the lower-lobe group (group B). Each patient underwent 3DCT, 4DCT with abdominal compression (4DCT com) and 4DCT with free breath (4DCT free) scans. The GTVs were delineated and IGTVs on these images. PTV MIP 5 mm, PTV MIP 4 mm, PTV MIP 3 mm were constructed with a 5, 4, 3 mm margin in left-right (LR), anterior-posterior (AP) directions and cranial-caudal (CC) directions. Results:The median motion vector with compression reduced by 30.92% in whole group, increased by 3.42% in group A and reduced by 18.80% in group B, respectively. And there were no significant differences of TMA LR, TMA AP, TMA CC and motion vector by the Wilcoxon test ( P>0.05). The median sizes of IGTV MIP com , IGTV MIP free and IGTV10 com, IGTV10 free were 4.01, 5.36 cm 3and 6.59, 7.65 cm 3, with statistically significant difference ( Z=-3.45, -3.14, P<0.01). The median ratio of DI of IGTV CBCT com in PTV MIP 5 mm, PTV MIP 4 mm and PTV MIP 3 mm≥95% was 100%, 100% and 83.33%, respectively. Conclusions:The patients′ respiratory pattern changed with abdominal compression and abdominal compression is useful in reducing the size of IGTV MIP and IGTV10, which could reduce the target volume and protect the normal tissue. Adding a 4 mm margin to IGTV MIP com based on 4DCT account for respiration in SBRT is a tendency for precise radiotherapy.

Objective:To investigate clinicians' compliance with the 2018 Surviving Sepsis Campaign (SSC) update "1-hour sepsis Bundle therapy" (1-hour Bundle) when treating patients with Sepsis 3 in the intensive care unit (ICU), and to analyze its impact on patient outcomes.Methods:A multicenter, prospective observational cohort study was conducted. A total of 153 ICU patients in Ziyang First People's Hospital, Ziyang People's Hospital and Yanjiang District People's Hospital who were diagnosed of sepsis by the definition and diagnostic criteria of Sepsis 3 from January 2019 to December 2020 were selected. Among them, 95 patients who had completed 1-hour Bundle were divided into the Bundle compliance group. 58 patients who did not complete the Bundle within 1 hours were classified as the Bundle non-compliance group. The distribution of pathogenic bacteria and infected sites, 1-hour Bundle compliance and 28-day survival in the 3 hospitals were analyzed. Univariate analysis was used to analyze the risk factors affecting the prognostic between the two groups of sepsis patients. Cox regression model was used to draw a 28-day survival curve to evaluate the survival of the patients in the two groups.Results:Among 153 sepsis patients in 3 hospitals, the detection rate of pathogenic bacteria was 61.44% (94/153), and Gram-negative bacteria accounted for 79.79% (75/94). The top 3 infection sites were respiratory system, gastrointestinal tract and urinary system, accounted for 32.0%, 28.1% and 18.3%, respectively. In the 3 hospitals, 62.09% (95/153) of patients fully implemented the 1-hour Bundle. The poorly implemented indicators in the 1-hour Bundle were 1-hour blood microbial culture [77.78% (119/153)] and 1-hour antimicrobial application [79.74% (122/153)]. There was no significant difference in the baseline indicators between Bundle compliance and non-compliance groups. Univariate analysis showed that the main prognostic indicators: 28-day survival rate in the Bundle compliance group was significantly higher than that in the Bundle non-compliance group [80.00% (76/95) vs. 62.06% (36/58), χ2= 6.447, P = 0.014]. Secondary evaluation indicators: mean arterial pressure (MAP) at 6 hours and 24 hours in the Bundle compliance group were significantly higher than those in the Bundle non-compliance group [mmHg (1 mmHg = 0.133 kPa): 78.22±11.25 vs. 69.86±14.04, 79.78±11.45 vs. 75.35±12.90]. However, the median length of in hospital stay in the Bundle compliance group was significantly longer than that in the Bundle non-compliance group [days: 13 (17) vs. 6 (11)], with statistically significant differences (all P < 0.05). Bivariate Logistic regression analysis showed that 6 hours and 24 hours MAP were risk factors affecting the prognosis of patients with sepsis [odds ratio ( OR), 95% confidence interval (95% CI): 1.064 (0.994-1.102), 1.032 (1.003-1.063), both P < 0.05]. Conclusions:The 1-hour Bundle compliance rate of ICU patients with sepsis in 3 hospitals of Ziyang City was 62.09%, and the compliance is still to be improved, especially for the 2 aspects of empirical antimicrobial use and microbial culture retention before antimicrobial use. The 28-day survival rate in the Bundle compliance group was significantly higher than that in the Bundle non-compliance group, suggesting that the 1-hour Bundle regimen can improve the prognosis of patients with sepsis.

Objective:To explore the effectiveness and feasibility of the machine learning models based on radiomics in the diagnosis of pituitary prolactin macroadenoma.Methods:Totally 122 histologically proven pituitary macroadenoma patients, including 70 cases of pituitary prolactin macroadenoma (PPM) and 52 cases of non-pituitary prolactin macroadenoma (NPPM), were retrospectively recruited. The differences of age, sex, serum prolactin value, bleeding, cystic degeneration and Knosp classification were compared between PPM and NPPM. The pre-processing, delineation of the region of interest and feature extraction of the preoperative axial contrast-enhanced T 1WI image were performed in the 3Dslicer software. The optimal feature set were selected by least absolute shrinkage and selection operator. All patients were randomly divided into the training group ( n=85) and the test group ( n=37) at a ratio of 7∶3. The models were established in the training group by logistic regression and support vector machine (SVM), and then verified by the test group. ROC curves were drawn respectively, and specificity, sensitivity, accuracy and area under the ROC curve (AUC) were calculated. Results:The age [(38±12) years vs . (43±11) years], gender ratio (male/female 50 cases/20 cases vs . 14 cases/38 cases) and prolactin value [366.00 (117.75, 1 156.25)μg/L vs . 47.25 (32.68, 62.40) μg/L] of patients with PPM and NPPM were statistically different ( P<0.05). The AUC values of logistic regression and SVM in the training group were 0.936 and 0.946, and the AUC values of the test group were 0.768 and 0.774, respectively. The diagnostic accuracy of logistic regression and SVM in the training group were 88.2% and 91.8%, and the accuracy of the test group were 73.0% and 77.8%. Conclusion:The machine learning models based on the radiomics can predict the pituitary prolactin macroadenoma well with a high accuracy.