Objective To investigate the protective effect of sodium (s)-2-(dithiocarboxylato((2R,3R,4R,5R,6R)-2,3,4,5,6-pentahydroxyhexyl) amino)-4-(methylthio) butanoate (GMDTC) against cisplatin-induced toxicity during antitumor treatment. Methods Specific pathogen-free female SD rats were inoculated with LLC-WRC-256 tumor cells to establish tumor-bearing models, which were randomly divided into the model control group, cisplatin control group, and low-, medium-, and high-dose GMDTC groups, with 10 rats in each group. Another negative control group with 10 rats was included. Rats in the cisplatin control group and the three GMDTC dose groups were injected intravenously with cisplatin at a dose of 5 mg/kg body mass for one time. After 2.0 hours, rats in the three GMDTC dose groups were injected intravenously with GMDTC at doses of 27, 54, and 108 mg/kg body mass, once per day for five consecutive days. Tumor volume, platinum levels in biological samples (whole blood, urine, kidney, and tumor tissue), serum creatinine (Cr) and urea nitrogen (BUN) levels were measured at different time points. The tumor mass was measured, the pathological changes of renal tissue were observed, and the complete blood count was tested. Results The dilation of renal tubules, cell necrosis and shedding, and the formation of renal tubule patterns in the kidneys of rats in the medium- and high-dose GMDTC groups were significantly reduced compared with those in the cisplatin control group. The tumor volume of rats in the cisplatin control group and the three GMDTC dose groups decreased on the 3rd, 5th and 7th days after cisplatin administration, and the tumor weight decreased on the 7th days compared with the model control group (all P<0.05). However, there was no significant difference in the above indexes among the four groups (all P>0.05). The levels of serum Cr and BUN of rats in the cisplatin control group on the 3rd, 5th, and 6th days after cisplatin administration, as well as the score of renal tubular injury degree on the 7th day, were higher than those in the negative control group and the model control group (all P<0.05). The serum Cr levels of rates on the 3rd and 5th days after cisplatin administration, the serum BUN levels on the 5th day in the medium- and high-dose GMDTC groups, the score of renal tubular injury degree, and renal platinum level on the 7th day decreased compared with the cisplatin control group (all P<0.05), while the serum Cr and BUN levels on the 6th day and the whole-blood platinum levels in the high-dose GMDTC group decreased (all P<0.05). The urinary platinum levels of rats in the three GMDTC dose groups increased on the 1st day after GMDTC administration (all P<0.05), but decreased on the 3rd day compared with the cisplatin control group (all P<0.05). The counts of white blood cells, neutrophils, lymphocytes and platelets of rats in the cisplatin control group were lower than those in the model control group (all P<0.05). There was no significant difference in the above indexes of rats between the three GMDTC dose groups and the cisplatin control group (all P>0.05). Conclusion Intravenous administration of GMDTC at doses of 54 or 108 mg/kg body mass effectively reduce the nephrotoxicity of cisplatin-treated rats with LLC-WRC-256 tumors without affecting the antitumor effect of cisplatin.

Objective To study the compliance and influencing factors of inhalation therapy in patients with stable chronic obstructive pulmonary disease (COPD),and carry out patient education and management accordingly. Methods COPD patients were selected from respiratory clinic of Luodian Hospital of Baoshan District of Shanghai from June to December in 2021. Compliance and inhalation techniques were assessed with the Morisky Medication Adherence Scale and the ten-step inhalation technique, and the factors influencing compliance were analyzed. Results A total of 58 outpatients with COPD were included, in which 25 cases (43.1%) with moderate or above compliance. Univariate analysis showed that the patients with course of disease ≥5 years, COPD assessment test(CAT)≥10 points, used 2 inhalation devices and inhalation technique score ≥8 points had better compliance when compared with other patients (P<0.05). Conclusion Patient education and management should be carried out actively. The patients with course of disease<5 years, CAT<10 points should be highly concerned. The inhalation devices should be chosen according to the patients' condition. Training on the use of devices should be strengthened and regularly follow-up evaluation should be carried out.

Based on the holistic view of "spleen-vessels-heart-spirit" system， this article explores the pathogenesis and progression of atrial fibrillation. It is proposed that the onset of atrial fibrillation is due to failure of the spleen to transport and disharmony of blood vessels； phlegm and blood stasis obstructing the collaterals and damage to the heart structure are the basis of its pathogenesis； the unclear mind and disorder of body and spirit are the causes of its progression. Based on the characteristics of pathological changes in different stages of the disease， it is proposed that early treatment should focus on restoring the middle jiao， clearing and promoting blood vessels， using modified Yigong Powder （异功散）； during the progression of the disease， treatment should remove blood stasis and phlegm， nourish heart and protect the pulse， using self-prescribed modified Mengshi Tongmai Decoction （礞石通脉汤）； meanwhile， calming mind and stabilizing palpitations， and regulating spirit should be sequentially incorporated， with self-prescribed Jiazao Ningmai Decoction （甲枣宁脉汤） or Shenying Dingji Decoction （参英定悸汤） and modified as appropriate. Clinical treatment should focus on the whole disease course of atrial fibrillation， implementing stage-based treatments to enable early intervention and holistic regulation.

Immune evasion has made ovarian cancer notorious for its refractory features, making the development of immunotherapy highly appealing to ovarian cancer treatment. The immune-stimulating cytokine IL-12 exhibits excellent antitumor activities. However, IL-12 can induce IFN-γ release and subsequently upregulate PDL-1 expression on tumor cells. Therefore, the tumor-targeting folate-modified delivery system F-DPC is constructed for concurrent delivery of IL-12 encoding gene and small molecular PDL-1 inhibitor (iPDL-1) to reduce immune escape and boost anti-tumor immunity. The physicochemical characteristics, gene transfection efficiency of the F-DPC nanoparticles in ovarian cancer cells are analyzed. The immune-modulation effects of combination therapy on different immune cells are also studied. Results show that compared with non-folate-modified vector, folate-modified F-DPC can improve the targeting of ovarian cancer and enhance the transfection efficiency of pIL-12. The underlying anti-tumor mechanisms include the regulation of T cells proliferation and activation, NK activation, macrophage polarization and DC maturation. The F-DPC/pIL-12/iPDL-1 complexes have shown outstanding antitumor effects and low toxicity in peritoneal model of ovarian cancer in mice. Taken together, our work provides new insights into ovarian cancer immunotherapy. Novel F-DPC/pIL-12/iPDL-1 complexes are revealed to exert prominent anti-tumor effect by modulating tumor immune microenvironment and preventing immune escape and might be a promising treatment option for ovarian cancer treatment.

Aim To study the effect of menthol on hypobaric hypoxia-induced pulmonary arterial hypertension and explore the underlying mechanism in mice. Methods 10 to 12 weeks old wild type (WT) mice and TRPM8 gene knockout (TRPM8

Objective     To explore the correlation between the quantitative and qualitative features of CT images and the invasiveness of pulmonary ground-glass nodules, providing reference value for preoperative planning of patients with ground-glass nodules. Methods    The patients with ground-glass nodules who underwent surgical treatment and were diagnosed with pulmonary adenocarcinoma from September 2020 to July 2022 at the Third Affiliated Hospital of Kunming Medical University were collected. Based on the pathological diagnosis results, they were divided into two groups: a non-invasive adenocarcinoma group with in situ and minimally invasive adenocarcinoma, and an invasive adenocarcinoma group. Imaging features were collected, and a univariate logistic regression analysis was conducted on the clinical and imaging data of the patients. Variables with statistical difference were selected for multivariate logistic regression analysis to establish a predictive model of invasive adenocarcinoma based on independent risk factors. Finally, the sensitivity and specificity were calculated based on the Youden index. Results     A total of 555 patients were collected. The were 310 patients in the non-invasive adenocarcinoma group, including 235 females and 75 males, with a meadian age of 49 (43, 58) years, and 245 patients in the invasive adenocarcinoma group, including 163 females and 82 males, with a meadian age of 53 (46, 61) years. The binary logistic regression analysis showed that the maximum diameter (OR=4.707, 95%CI 2.060 to 10.758), consolidation/tumor ratio (CTR, OR=1.027, 95%CI 1.011 to 1.043), maximum CT value (OR=1.025, 95%CI 1.004 to 1.047), mean CT value (OR=1.035, 95%CI 1.008 to 1.063), spiculation sign (OR=2.055, 95%CI 1.148 to 3.679), and vascular convergence sign (OR=2.508, 95%CI 1.345 to 4.676) were independent risk factors for the occurrence of invasive adenocarcinoma (P<0.05). Based on the independent predictive factors, a predictive model of invasive adenocarcinoma was constructed. The formula for the model prediction was: Logit(P)=–1.293+1.549×maximum diameter of lesion+0.026×CTR+0.025×maximum CT value+0.034×mean CT value+0.72×spiculation sign+0.919×vascular convergence sign. The area under the receiver operating characteristic curve of the model was 0.910 (95%CI 0.885 to 0.934), indicating that the model had good discrimination ability. The calibration curve showed that the predictive model had good calibration, and the decision analysis curve showed that the model had good clinical utility. Conclusion     The predictive model combining quantitative and qualitative features of CT has a good predictive ability for the invasiveness of ground-glass nodules. Its predictive performance is higher than any single indicator.

Pancreatic cancer is one of the most prevalent malignant tumors of the digestive system， and its incidence and mortality rates are increasing year by year. Most patients with pancreatic cancer are unable to receive surgery due to the advanced stage. Although chemotherapy regimens based on gemcitabine and fluorouracil have prolonged the survival time of patients to some extent， some patients cannot tolerate chemotherapy and hence lose the opportunity for treatment. With the advent of the era of precision medicine， molecular-targeted therapy has exhibited an excellent therapeutic efficacy and has thus become one of the most important treatment techniques for tumors； however， due to the high heterogeneity of pancreatic cancer and its complicated tumor microenvironment， molecular-targeted therapy for pancreatic cancer has not achieved notable results. Therefore， it is imperative to seek new therapeutic targets and medications to overcome this issue. This article reviews the latest advances in the research on molecular-targeted therapy for unresectable pancreatic cancer based on common molecular targets and tumor immunity-related therapeutic targets， in order to provide new treatment strategies for patients with pancreatic cancer.

0bjective To explore the effectiveness of caregivers based on health education under the guidance of timing theory in the nursing of elderly patients after hip replacement.Methods By convenient sampling method,eighty elderly patients undergoing hip replacement were divided into control group and observation group,40 cases in each group.The control group was given routine orthopedic care,and the observation group was based on health management under the guidance of the timing theory(total hip replacement,TIR)based on routine orthopedic care.The Harris Hip Score,Activities of Daily Living Scale(Barthel index),Caregiver Burden Inventory and Family Caregiver Task Inventory were used to compare and evaluate the application effect of health education of two groups of caregivers in the nursing of elderly patients after hip replacement.Results The patients were observed one month and three months after discharge,the Harris score and Barthel index of the observation group were significantly higher than those of the control group(P<0.01).At discharge,1 month after discharge and 3 months after discharge,the FCTI score(P<0.01)and CBI score(P<0.01)of family caregivers in the observation group were significantly lower than those in the control group.Conclusion Caregivers based on health education under the guidance of timing theory can effectively reduce the care burden of caregivers,enhance the care ability of caregivers,improve the rehabilitation effect of patients,and ameliorative the quality of life of patients.

BACKGROUND:Increasing evidence suggests that N6-methyladenosine(m6A)regulators are closely associated with osteoarthritis and are considered to be a new direction in the prevention and treatment of osteoarthritis,but their specific mechanism of action is unknown. OBJECTIVE:To conduct a bioinformatics analysis of the osteoarthritis gene microarray dataset in order to explore the role of m6A in osteoarthritis and analyze the pathogenesis of osteoarthritis. METHODS:The m6A regulators associated with osteoarthritis and their expression were first extracted from the GSE1919 dataset in the GEO database using R software,and then the results were analyzed by gene difference analysis and GO and KEGG enrichment analyses.Subsequently,the results of protein-protein interaction network topology analysis and machine learning results were intersected to obtain the m6A Hub regulators,which were validated by in vitro cellular experiments. RESULTS AND CONCLUSION:A total of 16 osteoarthritis-related m6A regulators were extracted and 11 m6A differential regulators,including ZC3H13,YTHDC1,YTHDF3 and HNRNPC,were obtained by differential analysis.GO enrichment analysis showed that osteoarthritis-related m6A differential regulators played a role in the biological processes such as mRNA transport,RNA catabolism,and regulation of insulin-like growth factor receptor signaling pathway.(3)KEGG enrichment analysis showed that the differential regulators were mainly involved in the p53,interleukin-17 and AMPK signaling pathways.The combined protein-protein interaction network topology analysis and machine learning results obtained the m6A Hub regulator-YTHDC1.(5)The results of in vitro cellular experiments showed that there was a significant difference in the expression of m6A key regulator between the control and experimental groups(P<0.05).To conclude,YTHDC1 is closely related to the development of osteoarthritis,which is expected to be a molecular target of m6A for the treatment of osteoarthritis.

BACKGROUND:Ferroptosis is strongly associated with the occurrence and progression of osteoarthritis,but the specific characteristic genes and regulatory mechanisms are not known. OBJECTIVE:To identify osteoarthritis ferroptosis signature genes and immune infiltration analysis using the WGCNA and various machine learning methods. METHODS:The osteoarthritis dataset was downloaded from the GEO database and ferroptosis-related genes were obtained from the FerrDb website.R language was used to batch correct the osteoarthritis dataset,extract osteoarthritis ferroptosis genes and perform differential analysis,analyze differentially expressed genes for GO function and KEGG signaling pathway.WGCNA analysis and machine learning(random forest,LASSO regression,and SVM-RFE analysis)were also used to screen osteoarthritis ferroptosis signature genes.The in vitro cell experiments were performed to divide chondrocytes into normal and osteoarthritis model groups.The dataset and qPCR were used to verify expression and correlate immune infiltration analysis. RESULTS AND CONCLUSION:(1)12 548 osteoarthritis genes were obtained by batch correction and PCA analysis,while 484 ferroptosis genes were obtained,resulting in 24 differentially expressed genes of osteoarthritis ferroptosis.(2)GO analysis mainly involved biological processes such as response to oxidative stress and response to organophosphorus,cellular components such as apical and apical plasma membranes,and molecular functions such as heme binding and tetrapyrrole binding.(3)KEGG analysis exhibited that differentially expressed genes of osteoarthritis ferroptosis were related to signaling pathways such as the interleukin 17 signaling pathway and tumor necrosis factor signaling pathway.(4)After using WGCNA analysis and machine learning screening,we obtained the characteristic gene KLF2.After validation by gene microarray,we found that the gene expression of KLF2 was higher in the test group than in the control group in the meniscus(P=0.000 14).(5)In vitro chondrocyte assay showed that type Ⅱ collagen and KLF2 expression was lower in the osteoarthritis group than in the control group in chondrocytes(P<0.05),while in osteoarthritis ferroptosis,mast cells activated was closely correlated with dendritic cells(r=0.99);KLF2 was closely correlated with natural killer cells(r=-1,P=0.017)and T cells follicular helper(r=-1,P=0.017).(6)The findings indicate that using WGCNA analysis and machine learning methods confirmed that KLF2 can be a characteristic gene for osteoarthritis ferroptosis and may improve osteoarthritis ferroptosis by interfering with KLF2.