Objective To analyze the influencing factors of chronic atrophic gastritis diagnosed by gastroscopy based on living habits and cytochrome P4501A1(CYP1A1)gene polymorphism.Methods A total of 118 patients with chronic atrophic gastritis diagnosed by gastroscopy in our hospital from May 2023 to May 2024 were included in the chronic atrophic gastritis group,and another 120 patients with chronic non-atrophic gastritis diagnosed by gastroscopy during the same period were included in the chronic non-atrophic gastritis group.Clinical data,lifestyle,gastroscopy and CYP1A1 gene polymorphism were compared between the two groups.The risk factors of chronic atrophic gastritis diagnosed by gastroscopy were analyzed by multivariate Logistic regression,and the regression equation was established.Receiver operating characteristic curve(ROC curve)was drawn to analyze the predictive value of the regression equation for the diagnosis of chronic atrophic gastritis by gastroscopy.Results Multivariate Logistic analysis showed that Helicobacter pylori infection,family history of gastritis,fast eating,hot eating,insomnia,CYP1A1 genotype G/G were the risk factors for the diagnosis of chronic atrophic gastritis by gastroscopy(P<0.05).The above factors were included in the regression equation:Logit(P)=-8.252+Helicobacter pylori infection×0.741+family history of gastritis×0.636+fast food×0.595+hot food×0.754+insomnia×0.791+CYP1A1 genotype G/G×0.752.According to the regression equation,ROC curve was drawn to predict the occurrence of chronic atrophic gastritis diagnosed by gastroscopy.The results showed that when Logit(P)>0.727,the sensitivity was 87.29%,the specificity was 86.67%,and the area under the curve(AUC)was 0.922.Conclusion The influencing factors of chronic atrophic gastritis diagnosed by gastroscopy include Helicobacter pylori infection,family history of gastritis,fast food,hot food,insomnia,CYP1A1 genotype G/G,the establishment of the regression equation is effective,which can lay a foundation for screening high-risk patients and formulating preventive interventions.

Objective To study the dynamic changes in the secretion of neurotransmitters glutamic acid(Glu)and γ-aminobutyric acid(GABA)in the central auditory brain area,in order to explore the effects of sodium salicy-late on different locations of the auditory pathway.Methods A total of 126 SD rats were injected intraperitoneally with salicylate,and were divided into 10 groups including injection groups for 1,2,4,8,and 24 hours,chronic in-jection groups for 3,7,and 14 days,and chronic recovery groups for 21 and 28 days with 6 rats in each group,as well as their corresponding blank control groups.Rats in each group were anesthetized and materials were collected for further use.High-performance liquid chromatography(HPLC)was performed to detect and compare the dynam-ic changes in the levels of Glu and GABA in the auditory cortex,inferior colliculus,cochlear nucleus,and hippocam-pus of the auditory center of rats in each group at different time points.Results Compared with the control group,within 24 hours of acute injection of salicylate,the Glu content in the auditory cortex reached the peak in 1 hour,and the hippocampus reached the peak at the 4th hour after injection,and then decreased slowly.The GABA con-tent in the four brain regions showed a slow upward trend in the chronic injection period,reached the peak on the 7th day,decreased and approached normal level on the 14th day,and basically returned to the normal level in the re-covery period.Conclusion These findings indicate that salicylate has a certain short-term excitatory and stimulating effect on the central auditory system.Under the mechanism of central plasticity,after long-term injection of salicy-late,the release of neurotransmitters reaches a new excitation/inhibition balance in the central area.Glu and GABA may each play a different role that may ultimately lead to the development of tinnitus.

Objective To analyze the influencing factors of chronic atrophic gastritis diagnosed by gastroscopy based on living habits and cytochrome P4501A1(CYP1A1)gene polymorphism.Methods A total of 118 patients with chronic atrophic gastritis diagnosed by gastroscopy in our hospital from May 2023 to May 2024 were included in the chronic atrophic gastritis group,and another 120 patients with chronic non-atrophic gastritis diagnosed by gastroscopy during the same period were included in the chronic non-atrophic gastritis group.Clinical data,lifestyle,gastroscopy and CYP1A1 gene polymorphism were compared between the two groups.The risk factors of chronic atrophic gastritis diagnosed by gastroscopy were analyzed by multivariate Logistic regression,and the regression equation was established.Receiver operating characteristic curve(ROC curve)was drawn to analyze the predictive value of the regression equation for the diagnosis of chronic atrophic gastritis by gastroscopy.Results Multivariate Logistic analysis showed that Helicobacter pylori infection,family history of gastritis,fast eating,hot eating,insomnia,CYP1A1 genotype G/G were the risk factors for the diagnosis of chronic atrophic gastritis by gastroscopy(P<0.05).The above factors were included in the regression equation:Logit(P)=-8.252+Helicobacter pylori infection×0.741+family history of gastritis×0.636+fast food×0.595+hot food×0.754+insomnia×0.791+CYP1A1 genotype G/G×0.752.According to the regression equation,ROC curve was drawn to predict the occurrence of chronic atrophic gastritis diagnosed by gastroscopy.The results showed that when Logit(P)>0.727,the sensitivity was 87.29%,the specificity was 86.67%,and the area under the curve(AUC)was 0.922.Conclusion The influencing factors of chronic atrophic gastritis diagnosed by gastroscopy include Helicobacter pylori infection,family history of gastritis,fast food,hot food,insomnia,CYP1A1 genotype G/G,the establishment of the regression equation is effective,which can lay a foundation for screening high-risk patients and formulating preventive interventions.

Objective To study the dynamic changes in the secretion of neurotransmitters glutamic acid(Glu)and γ-aminobutyric acid(GABA)in the central auditory brain area,in order to explore the effects of sodium salicy-late on different locations of the auditory pathway.Methods A total of 126 SD rats were injected intraperitoneally with salicylate,and were divided into 10 groups including injection groups for 1,2,4,8,and 24 hours,chronic in-jection groups for 3,7,and 14 days,and chronic recovery groups for 21 and 28 days with 6 rats in each group,as well as their corresponding blank control groups.Rats in each group were anesthetized and materials were collected for further use.High-performance liquid chromatography(HPLC)was performed to detect and compare the dynam-ic changes in the levels of Glu and GABA in the auditory cortex,inferior colliculus,cochlear nucleus,and hippocam-pus of the auditory center of rats in each group at different time points.Results Compared with the control group,within 24 hours of acute injection of salicylate,the Glu content in the auditory cortex reached the peak in 1 hour,and the hippocampus reached the peak at the 4th hour after injection,and then decreased slowly.The GABA con-tent in the four brain regions showed a slow upward trend in the chronic injection period,reached the peak on the 7th day,decreased and approached normal level on the 14th day,and basically returned to the normal level in the re-covery period.Conclusion These findings indicate that salicylate has a certain short-term excitatory and stimulating effect on the central auditory system.Under the mechanism of central plasticity,after long-term injection of salicy-late,the release of neurotransmitters reaches a new excitation/inhibition balance in the central area.Glu and GABA may each play a different role that may ultimately lead to the development of tinnitus.

Peptides are a particular molecule class with inherent attributes of some small-molecule drugs and macromolecular biologics, thereby inspiring continuous searches for peptides with therapeutic and/or agrochemical potentials. However, the success rate is decreasing, presumably because many interesting but less-abundant peptides are so scarce or labile that they are likely 'overlooked' during the characterization effort. Here, we present the biochemical characterization and druggability improvement of an unprecedented minor fungal RiPP (ribosomally synthesized and post-translationally modified peptide), named acalitide, by taking the relevant advantages of metabolomics approach and disulfide-bridged substructure which is more frequently imprinted in the marketed peptide drug molecules. Acalitide is biosynthetically unique in the macrotricyclization via two disulfide bridges and a protease (AcaB)-catalyzed lactamization of AcaA, an unprecedented precursor peptide. Such a biosynthetic logic was successfully re-edited for its sample supply renewal to facilitate the identification of the in vitro and in vivo antiparkinsonian efficacy of acalitide which was further confirmed safe and rendered brain-targetable by the liposome encapsulation strategy. Taken together, the work updates the mining strategy and biosynthetic complexity of RiPPs to unravel an antiparkinsonian drug candidate valuable for combating Parkinson's disease that is globally prevailing in an alarming manner.

Objective To evaluate the relationship between diabetic nephropathy(DN)and diabetic retinopathy(DR)in patients with type 2 diabetes mellitus(T2DM)based on imaging and clinical testing data.Methods Totally 600 T2DM patients who visited the First People's Hospital of Ziyang from March 2021 to December 2022 were included.The fundus photography and fundus fluorescein angiography were performed on all these patients and their age,gender,T2DM duration,cardiovascular diseases,cerebrovascular disease,hypertension,smoking history,drinking history,body mass in-dex,systolic blood pressure,diastolic blood pressure and other clinical data were collected.The levels of fasting blood glu-cose(FPG),triglyceride(TG),total cholesterol(TC),high-density lipoprotein cholesterol(HDL-C),low-density lipo-protein cholesterol(LDL-C),glycosylated hemoglobin(HbA1c),24 h urinary albumin(UAlb),urinary albumin to creati-nine ratio(ACR),serum creatinine(Scr)and blood urea nitrogen(BUN)were measured.Logistic regression was used to analyze the risk factors associated with DR.DR staging was performed according to fundus images,and the convolutional neural network(CNN)algorithm was used as an image analysis method to explore the correlation between DR and DN based on emission computed tomography(ECT)and clinical testing data.Results The average lesion area rates of DR and DN detected by the CNN in the non-DR,mild-non-proliferative DR(NPDR),moderate-NPDR,severe-NPDR and pro-liferative DR(PDR)groups were higher than those obtained by the traditional algorithm(TCM).As DR worsened,the Scr,BUN,24 h UAlb and ACR gradually increased.Besides,the incidence of DN in the non-DR,mild-NPDR,moderate-NPDR,severe-NPDR and PDR groups was 1.67％,8.83％,16.16％,22.16％and 30.83％,respectively.Logistic regression analysis showed that the duration of T2DM,smoking history,HbA1c,TC,TG,HDL-C,LDL-C,24 h UAlb,Scr,BUN,ACR and glomerular filtration rate(GFR)were independent risk factors for DR.Renal dynamic ECT analysis demonstrated that with the aggravation of DR,renal blood flow perfusion gradually decreased,resulting in diminished renal filtration.Conclusion The application of CCN in the early stage DR and DN image analysis of T2DM patients will improve the diag-nosis accuracy of DR and DN lesion area.The DN is worsening as the aggravation of DR.

Objective To construct a nomogram prediction model for the treatment effect of anlotinib with the participation of traditional Chinese medicine syndrome elements on the patients with extensive-stage small cell lung cancer (ES-SCLC) who previously received multiple lines of chemotherapy. Methods The clinical data of 127 patients with ES-SCLC who received at least two cycles of anlotinib treatment were retrospectively studied. Kaplan-Meier method was used to analyze the relationship between each factor and the overall survival time. Cox regression analysis was applied to screen the independent influencing factors of the prognosis of patients with ES-SCLC. R language was employed to build a nomogram prediction model, C-index was used to evaluate the model, and calibration curve was adopted to verify the accuracy of the model. Results Age, PS score, brain metastases, qi deficiency syndrome, yin deficiency syndrome, and blood stasis syndrome were related risk factors for ES-SCLC treated with anlotinib. PS score, brain metastasis, and blood stasis syndrome were independent prognostic factors. On the basis of these three independent influencing factors, a nomogram model was established to predict the prognosis of patients with ES-SCLC treated with anlotinib. The predicted risk was close to the actual risk, showing a high degree of coincidence. Conclusion The nomogram model established with PS score, blood stasis syndrome elements, and brain metastasis as independent factors can predict the prognosis of patients with ES-SCLC receiving second- and third-line treatment of anlotinib.

Objective To evaluate predictive factors affecting the short-term efficacy of PD-1 inhibitors in non-small cell lung cancer (NSCLC) and to construct a prediction model. Methods From October 2019 to November 2021, 221 patients with advanced NSCLC who met the inclusion criteria and were treated with PD-1 inhibitors were prospectively enrolled. Patients who were enrolled before May 1st, 2021 were included inthe modeling group (n=149), whereas those who enrolled thereafter were included in the validation group (n=72). The general clinical data of patients, information of the four TCM diagnoses were collected, and TCM syndrome elements were identified. R software version 4.0.4 was used in constructing a nomogram clinical prediction model of objective response rate. The predictive ability and discrimination of the model were evaluated and externally validated by using a validation group. Results After two to four cycles of PD-1 inhibitor therapy in 221 patients, the overall objective response rate was 44.80%. Multivariate logistic regression analysis of the modeling group showed that the TPS score (OR=0.261, P=0.001), number of treatment lines (OR=3.749, P=0.002), treatment mode (OR=2.796, P=0.019), qi deficiency disease syndrome elements (OR=2.296, P=0.043), and syndrome elements of yin deficiency disease (OR=3.228, P=0.005) were the independent predictors of the short-term efficacy of PD-1 inhibitors. Based on the above five independent predictors, a nomogram prediction model for the short-term efficacy of PD-1 inhibitors was constructed. The AUC values of the modeling and validation groups were 0.8317 and 0.7535, respectively. The calibration curves of the two groups showed good agreement between the predicted and true values. The mean absolute errors were 0.053 and 0.039, indicating that the model has good predictive performance. Conclusion The nomogram model constructed on the basis of the syndrome elements of Qi-deficiency disease and Yin-deficiency syndrome of TCM, as well as TPS score, number of treatment lines and treatment mode, is a stable and effective tool for predicting the short-term efficacy of PD-1 inhibitors in advanced non-small cell lung cancer.

Objective:To examine the clinical value of rapid detection of drug-resistant bacteria by immunochromatography and the effects of rapid detection on the prognosis of patients with severe intra-abdominal infection complicated by carbapenem-resistant Enterobacteriaceae (CRE) bloodstream infection.Methods:This was a retrospective cohort study. We analyzed clinical data of 73 patients with severe abdominal infections with sepsis or septic shock complicated by CRE bloodstream infection admitted to the general surgery department of Jinling Hospital between February 2022 and February 2023. Patients were divided into a colloidal gold immunochromatographic assay (GICA) group (17 patients) and conventional testing group (56 patients) based on whether a GICA for CRE had been performed on the patients' first blood culture sample during the diagnosis and treatment process. There were no statistically significant differences between the GICA and conventional testing groups in age ([55.9±17.3] vs. [47.6±16.4] years), sex ([16 men vs. one woman ] vs. [41 men vs. 15 women]), median Charlson comorbidity index (3.0[2.0,4.0] vs. 3.0[2.0, 4.8]), septic shock (10 vs. 39), or acute kidney injury (8 vs. 40) (all P>0.05). Both groups routinely underwent traditional bacterial identification and drug susceptibility testing. Additionally, patients in the GICA group were tested directly for positive blood cultures using a GICA carbapenemase test kit. The main outcomes were mortality rates on Days 28 and 90 after the first identification of CRE bloodstream infection in both groups. We also compared the microbial clearance rate, duration of hospitalization and intensive care unit stay, and time from onset of CRE bloodstream infection to initiation of targeted and appropriate antibiotics between the two groups. Results:The rate of microbial clearance of bloodstream infection was significantly greater in the GICA group than in the conventional testing group (15/17 vs. 34/56 [60.7%], χ 2=4.476, P=0.034), whereas the 28-day mortality tended to be lower in the GICA than conventional testing group [5/17 vs. 44.6% [25/56], χ 2=1.250, P=0.264). The 90-day mortality (8/17 vs. 53.6% [30/56], χ 2=0.222, P=0.638), median duration of hospitalization (37.0 [18.0, 46.5] days vs. 45.5 [32.2, 64.8] days, Z=-1.867, P=0.062), and median duration of intensive care unit stay (18.0 [6.5, 35.0] days vs. 32.0 [5.0, 51.8] days, Z=-1.251, P=0.209). The median time between the onset of bloodstream infection and administration of antibiotics was 49.0 (38.0, 69.0) hours in the GICA group, which is significantly shorter than the 163.0 (111.8, 190.0) hours in the conventional testing group ( Z=-5.731, P<0.001). The median time between the onset of bloodstream infection and administration of appropriate antibiotics was 40.0 (34.0, 80.0) hours in the GICA group, which is shorter than in the conventional testing group (68.0 [38.2, 118.8]) hours; however, this difference is not statistically significant ( Z=-1.686, P=0.093). Conclusions:GICA can provide information on carbapenemase- producing pathogens faster than traditional drug sensitivity testing, enabling early administration of the optimal antibiotics. The strategy of 'carbapenemase detection first' for managing bacterial infection has the potential to improve prognosis of patients and reduce mortality rate.