ObjectiveTo improve the therapeutic effect of Buyang Huanwutang（BYHW） on diabetic kidney disease （DKD） and explore new methods for developing new Chinese medicine decoctions，we utilized 5-hydroxymethylcytosine （5hmC）-Seal sequencing technology and network pharmacology to modify BYHW. MethodsWe selected 14 diabetes mellitus （DM） patients and 15 DKD patients hospitalized in the Department of Endocrinology of Peking University Third Hospital in 2021. Circulating free DNA （cfDNA） in the patients’ plasma was sequenced. After data processing and screening， we performed temporal clustering analysis to select a DKD 5hmC gene set， which was then cross-validated with a DKD database gene set to obtain the DKD gene set. We retrieved target genes of the seven herbal components of BYHW from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the Encyclopedia of Traditional Chinese Medicine （ETCM）， and performed cross-analysis with the DKD gene set to identify common genes shared by the disease and the Chinese medicines. A protein-protein interaction （PPI） network was constructed for the common genes to screen out the key genes. Chinese medicines targeting these key genes were searched against ETCM to identify removable Chinese medicines. Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis was performed on non-common DKD genes， and key genes in DKD-related pathways were selected based on machine learning. The GSE30529 dataset was used to verify the expression trends of 5hmC-modified genes and the feasibility of target genes as drug targets. TCMBank was used to search for target genes and obtain compounds targeting these genes and the corresponding Chinese medicines to construct a "key target-compound-Chinese medicine" network. Molecular docking was employed to verify the binding affinity of compounds with key targets. TCMSP and ETCM were used to search and count the candidate Chinese medicines targeting DKD-related genes， and a new decoction was formed by adding the selected Chinese medicines. A mouse model of DKD was established to examine the efficacy of the new decoction based on the mouse body mass， random blood glucose， urinary microalbumin （mALB）， serum creatinine （Scr）， and blood urea nitrogen （BUN） and by hematoxylin-eosin staining， periodic acid-Schiff staining， Masson staining， immunofluorescence assay， and Real-time PCR. ResultsThe cross-analysis results showed that the DKD gene set included 507 genes， of which 30 were target genes of BYHW. The PPI analysis indicated that the top 15% target genes regarding the degree were interleukin-6 （IL-6）， Toll-like receptor 4 （TLR4）， lactotransferrin （LTF）， lipoprotein lipase （LPL）， and sterol regulatory element-binding transcription factor 1 （SREBF1）. Persicae Semen and Pheretima in BYHW were unrelated to key genes and removed. Machine learning identified 10 potential target genes， among which TBC1 domain family member 5 （TBC1D5）， RAD51 paralog B （RAD51B）， and proteasome 20S subunit alpha 6 （PSMA6） had expression trends consistent with the GSE30529 dataset and could serve as drug targets. The "key target-compound-Chinese medicine" network and molecular docking results indicated that the compounds with good binding affinity to target proteins were arginine， glycine， myristicin， serine， and tyrosine， corresponding to 121 Chinese medicines. The top 10 Chinese medicines targeting DKD-related genes were Lycii Fructus， Ginseng Radix et Rhizoma， Dioscoreae Rhizoma， Rehmanniae Radix Praeparata， Isatidis Radix， Glehniae Radix， Ophiopogonis Radix， Allii Sativi Bulbus， Isatidis Folium， and Bolbostemmatis Rhizoma. Based on traditional Chinese medicine theory， the new decoction was obtained after removal of Persicae Semen and Pheretima and addition of Rehmanniae Radix Praeparata and Dioscoreae Rhizoma. Animal experiment results indicated that the modified BYHW improved the kidney function and inhibited renal fibrosis in DKD mice， with better effects than the original decoction. ConclusionThe BYHW modified based on 5hmC-Seal sequencing demonstrates better performance in inhibiting fibrosis and ameliorating DKD than the original decoction. This elucidates the biomedical theory behind the epigenetic modification of traditional Chinese medicine prescriptions， potentially offering new perspectives for the exploration of these prescriptions

ObjectiveTo improve the therapeutic effect of Buyang Huanwutang（BYHW） on diabetic kidney disease （DKD） and explore new methods for developing new Chinese medicine decoctions，we utilized 5-hydroxymethylcytosine （5hmC）-Seal sequencing technology and network pharmacology to modify BYHW. MethodsWe selected 14 diabetes mellitus （DM） patients and 15 DKD patients hospitalized in the Department of Endocrinology of Peking University Third Hospital in 2021. Circulating free DNA （cfDNA） in the patients’ plasma was sequenced. After data processing and screening， we performed temporal clustering analysis to select a DKD 5hmC gene set， which was then cross-validated with a DKD database gene set to obtain the DKD gene set. We retrieved target genes of the seven herbal components of BYHW from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the Encyclopedia of Traditional Chinese Medicine （ETCM）， and performed cross-analysis with the DKD gene set to identify common genes shared by the disease and the Chinese medicines. A protein-protein interaction （PPI） network was constructed for the common genes to screen out the key genes. Chinese medicines targeting these key genes were searched against ETCM to identify removable Chinese medicines. Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis was performed on non-common DKD genes， and key genes in DKD-related pathways were selected based on machine learning. The GSE30529 dataset was used to verify the expression trends of 5hmC-modified genes and the feasibility of target genes as drug targets. TCMBank was used to search for target genes and obtain compounds targeting these genes and the corresponding Chinese medicines to construct a "key target-compound-Chinese medicine" network. Molecular docking was employed to verify the binding affinity of compounds with key targets. TCMSP and ETCM were used to search and count the candidate Chinese medicines targeting DKD-related genes， and a new decoction was formed by adding the selected Chinese medicines. A mouse model of DKD was established to examine the efficacy of the new decoction based on the mouse body mass， random blood glucose， urinary microalbumin （mALB）， serum creatinine （Scr）， and blood urea nitrogen （BUN） and by hematoxylin-eosin staining， periodic acid-Schiff staining， Masson staining， immunofluorescence assay， and Real-time PCR. ResultsThe cross-analysis results showed that the DKD gene set included 507 genes， of which 30 were target genes of BYHW. The PPI analysis indicated that the top 15% target genes regarding the degree were interleukin-6 （IL-6）， Toll-like receptor 4 （TLR4）， lactotransferrin （LTF）， lipoprotein lipase （LPL）， and sterol regulatory element-binding transcription factor 1 （SREBF1）. Persicae Semen and Pheretima in BYHW were unrelated to key genes and removed. Machine learning identified 10 potential target genes， among which TBC1 domain family member 5 （TBC1D5）， RAD51 paralog B （RAD51B）， and proteasome 20S subunit alpha 6 （PSMA6） had expression trends consistent with the GSE30529 dataset and could serve as drug targets. The "key target-compound-Chinese medicine" network and molecular docking results indicated that the compounds with good binding affinity to target proteins were arginine， glycine， myristicin， serine， and tyrosine， corresponding to 121 Chinese medicines. The top 10 Chinese medicines targeting DKD-related genes were Lycii Fructus， Ginseng Radix et Rhizoma， Dioscoreae Rhizoma， Rehmanniae Radix Praeparata， Isatidis Radix， Glehniae Radix， Ophiopogonis Radix， Allii Sativi Bulbus， Isatidis Folium， and Bolbostemmatis Rhizoma. Based on traditional Chinese medicine theory， the new decoction was obtained after removal of Persicae Semen and Pheretima and addition of Rehmanniae Radix Praeparata and Dioscoreae Rhizoma. Animal experiment results indicated that the modified BYHW improved the kidney function and inhibited renal fibrosis in DKD mice， with better effects than the original decoction. ConclusionThe BYHW modified based on 5hmC-Seal sequencing demonstrates better performance in inhibiting fibrosis and ameliorating DKD than the original decoction. This elucidates the biomedical theory behind the epigenetic modification of traditional Chinese medicine prescriptions， potentially offering new perspectives for the exploration of these prescriptions

Objective　To timely understand the current status and distribution of nail snails (Oncomelania hupensis) in Tongjiang River channels in Zhenjiang City, providing a scientific basis for achieving the goal of eliminating schistosomiasis. Methods　From 2019 to 2023, nine Tongjiang River channels on the south bank of the Yangtze River under the jurisdiction of Zhenjiang City were selected as the monitoring area. Snail monitoring was carried out onshore and beach nail snails floats in the Tongjiang River channels, nail snails on attachments in hardened areas, snails induced by straw curtains, and snails carried by boats and domestic animals. Results　The monitoring results of shoreline snail from 2019 to 2023 showed that the snail situation in the Tongjiang River channel and its outer river bank remained relatively stable from 2019 to 2020; however, in 2021, under the influence of the Yangtze River flooding disaster in 2020, the area of snails increased significantly. In 2021, the area with snails in the Tongjiang River channel and the outer river bank increased by 45.70% (11.95/26.15) and 100.00% (20.00/20.00) compared to 2020; the average density of nails snails in the Tongjiang River channel and the outer river bank and the emergence rate of snail frames both showed a significant increase, rising by 94.73% (0.18/0.19) and 68.08% (8.68/12.75) compared to 2020, and by 122.73% (0.81/0.66) and 102.78% (43.26/42.09), respectively. The differences in the increase in the occurrence rate of spiked frames in the Tongjiang River channel Chili River and Renmin River were not statistically significant (χ2=0.329, P>0.05; χ2=0.646, P>0.05). From 2022 to 2023, the density of nail snails and the occurrence rate of framed snails in the Tongjiang River channel showed a decreasing trend (F=4.72, P=0.04 and χ2=372.58, P<0.01). The area of nail snails, density of live snails, and occurrence rate of framed snails in the outer river bank showed a decreasing trend (F=13.96, P=0.02; F=23.43, P<0.01; χ2=1 029.69, P<0.01). During the five years, no nail snails were detected in the ancient canal and 11 tributaries. From 2019 to 2023, 180 times of 3 003 kg of floating objects were salvaged, with a total of 148 live snails detected. A total of 17 live snails were captured on attachments in the hardened berm area; a total of 11 live snails were captured by straw curtain snail baiting;112 boats were inspected, and no snails were found; there were 112 boats surveyed, and no snails were found; 97 cattle were observed, and 2 cattle were found to carry 1 live snail on their hooves; 321 sheep were observed, and no snails were found on their hooves; and no infectious snails were found in the monitoring area in 5 years. Conclusions　Nail snails continue to exist in the Tongjiang River channel, and the risk factors for schistosomiasis transmission have not been completely eliminated. It is still necessary to carry out accurate monitoring of the snail situation in the Tongjiang River and the river bank, so as to grasp the risk of transmission in time and take emergency measures.

Objective To explore the efficacy of semaglutide in the treatment of type 2 diabetes mellitus(T2DM)com-bined with non-alcoholic fatty liver disease(NAFLD)and its effect on oxidative stress and inflammatory factors.Methods Totally 80 patients with T2DM accompanied by NAFLD admitted to the First Affiliated Hospital of Xinxiang Medical University from July 2021 to December 2022 were selected and randomly assigned to the observation group and the control group,with 40 patients in each group.Patients in the control group were treated with pioglitazone metformin and dapagliflozin,while patients in the observation group were treated with pioglitazone metformin,dapagliflozin,and semaglutide.The levels of glycated hemoglobin(HbA1c),fasting blood glucose(FBG),2-hour postprandial blood glucose(2hPG),body mass,body mass index(BMI),waist circumference,alanine aminotransferase(ALT),aspartate aminotransferase(AST),gamma-glutamyl transferase(GGT),controlled attenuation parameter(CAP),liver stiffness measurement(LSM),malondialdehyde(MDA),glutathione peroxidase(GSH-PX),lipid peroxide(LPO),tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),and interleukin-10(IL-10)before and after the treatment were compared.Results After 24 weeks of treatment,the overall response rate(ORR)in the observation group and control group was 92.5％(37/40)and 72.5％(29/40),respectively;and the ORR in the observation group was significantly higher than that in the control group(x2=5.541,P＜0.05).Before treatment,there was no statistically significant difference in the body mass,BMI,waist circumference,HbA1c,FBG,2hPG,ALT,AST,GGT,CAP,LSM,MDA,GSH-PX,LPO,TNF-α,IL-6,and IL-10 of patients between the 2 groups(P＞0.05);after 24 weeks of treatment,the body mass,BMI,waist circumference,HbA1c,FBG,2hPG,ALT,AST,GGT,CAP,LSM,MDA,LPO,TNF-α,IL-6,and IL-10 were significantly lower than before treatment,while GSH-PX was significantly higher than before treatment(P＜0.05);after 24 weeks of treatment,the body mass,BMI,waist circumference,HbA1c,FBG,2hPG,ALT,AST,GGT,CAP,LSM,MDA,LPO,TNF-α,IL-6,and IL-10 of patients in the observation group were significantly lower than those in the control group,and GSH-PX was significantly higher than that in the control group(P＜0.05).The incidence of adverse reactions in the observation group and the control group during the treatment period was 17.5％(7/40)and 12.5％(5/40),respectively;and the difference in the incidence of adverse reactions between the two groups was not statistically significant(P＞0.05).Conclusion Semaglutide significantly downregulates the levels of FBG,2hPG and HbA1c in patients with T2DM combined with NAFLD and reduces the body mass,waist circumference,liver enzyme level,hepatic fat content,hepatic fibrosis,oxidative stress,and inflammatory indicators.

Objective To explore the therapeutic effects of different doses of radioactive iodine-131 on patients with hyperthyroidism.Methods A total of 574 patients with hyperthyroidism treated in the First Affiliated Hospital of Xinxiang Medical University from April 2020 to April 2023 were sampled for this study and were divided evenly into the observation group and the control group by a random number table,with 287 patients in each group.The control group was treated with high-dose radioactive iodine-131(＞10-15 mCi),while the observation group was provided with low-dose radioactive iodine-131(5-10 mCi).The therapeutic effects were estimated six months after treatment.Data of the two groups of patients before treatment and 3 and 6 months after treatment were compared,including the levels of thyroid hormone(FT4),free triiodothyronine(FT3),and thyroid-stimulating hormone(TSH),which were measured through the fluorescence immunochromatography of serum(obtained by centrifugation of 3 mL fasting venous blood),and the tumor necrosis factor-α(TNF-α),transforming growth factor-β1(TGF-β1),interleukin-6(IL-6),and IL-1,which were measured through the enzyme-linked immunosorbent assay of serum.The salivary gland uptake index and salivary gland secretion index of the patients before treatment and 3 and 6 months after treatment were measured through radionuclide imaging.The incidence of adverse reactions during treatment was documen-ted.The incidence of hypothyroidism in both groups was evaluated 6 months after treatment.Results The total effective rate of the observation group and the control group was 83.27％(234/281)and 92.88％(261/281),respectively,and that of the observation group was significantly higher(x2=12.353,P＜0.05).The FT4,FT3,and TSH levels of the two groups before treatment showed no statistical discrepancy(P＞0.05).According to data collected 3 and 6 months after treatment,FT4 and FT3 levels of both groups significantly decreased,while TSH increased(P＜0.05)compared to corresponding pre-treatment levels;FT4 and FT3 levels of both groups observed 6 months after treatment were significantly lower than those observed 3 months before,in contrast to the growing TSH trend(P＜0.05).At 3 and 6 months after treatment,FT4 and FT3 levels of the observation group were significantly lower than those of the control group,while TSH levels were significantly higher(P＜0.05).The salivary gland uptake index and salivary gland secretion index between the two groups before treatment showed no statistical discrepancy(P＞0.05).At 3 and 6 months after treatment,such indexes of both groups obviously decreased(P＜0.05).However,those observed 6 months after treatment were higher than three months before(P＜0.05).At 3 months after treatment,the salivary gland uptake index and salivary gland secretion index of the observation group were notably higher than the control group(P＜0.05);at 6 months after treatment,no statistical discrepancy was observed between the two groups in terms of the two indexes(P＞0.05).Before treatment,there was no statistical difference in TNF-α,TGF-β1,IL-6,and IL-1 levels between the two groups(P＞0.05).At 3 and 6 months after treatment,the TNF-α,TGF-β1,IL-6,and IL-1 levels of both groups decreased significantly from pre-treatment levels(P＜0.05),and the data observed 6 months after treatment were still lower than those observed 3 months after treatment(P＜0.05).At 3 months after treatment,the TNF-α,TGF-β1,IL-6,and IL-1 levels of the observation group were significantly lower than those of the control group(P＜0.05);at 6 months after treatment,no statistical difference was observed between the two groups(P＞0.05).The incidence of adverse reactions during treatment in the control group and the observation group was 16.38％(47/287)and 8.01％(23/287),respectively,and that of the observation group was significantly lower than the other group(x2=8.457,P＜0.05).At 6 months after treatment,the incidence of hypothyroidism in the control group and the observation group was 12.46％(35/281)and 3.56％(10/281),respectively,and that of the observation group was significantly lower than that in the control group(x2=15.098,P＜0.05).Conclusion Low doses of radioactive iodine-131 work better in the treatment of hyperthyroidism and can effectively alleviate inflammation and salivary gland dysfunction,with less risk of inducing hypothyroidism and adverse reactions.

Objective To develope a clinical decision support system(CDSS)on insulin titration and validate its effectiveness and safety.Methods Eighty patients with type 2 diabetes mellitus treated at the Department of Endocrinology of the First Affiliated Hospital of Xinxiang Medical University from January 2021 to July 2023,who had difficulty in achieving glycemic control on the basis of lifestyle interventions and oral hypoglycemic drug treatments,were selected for the study.The patients were divided into the observation group and the control group using a random number table,with 40 cases in each group.Patients in both groups received oral metformin extended-release tablets,subcutaneous insulin degludec before bedtime,and subcutaneous aspartate insulin injection before three meals for glycemic control.Patients in the observation group were given insulin titration using the CDSS,and patients in the control group were given insulin titration using the conventional method.The retrospective continuous glucose monitoring system was used to monitor time in range(TIR)for glucose,mean amplitude of glycemic excursion(MAGE),mean blood glucose(MBG),standard deviation of blood glucose(SDBG),and the coefficient of variation(CV)of blood glucose.Fasting blood glucose(FBG),2-hour postprandial glucose(2hPG),length of hospitalization,time to achieve standard blood glucose control,and incidence of hypoglycemia of patients were recorded before and after treatment in the two groups.Results There was no significant difference in FBG and 2hPG of patients between the two groups before treat-ment(P＞0.05).The FBG and 2hPG levels of patients in the two groups were significantly lower than those before treatment(P＜0.05).The FBG and 2hPG levels of patients in the observation group were significantly lower than those in the control group after treatment(P＜0.05).TIR of patients in the observation group was significantly higher than that in the control group,while MAGE,MBG,SDBG,and CV were significantly lower than those in the control group after treatment(P＜0.05).The length of hospitalization was 9.0(7.3,10.0)days and 11.0(8.3,12.0)days of patients in the observation group and control group,respectively;and the length of hospitalization of patients in the control group was significantly longer than that in the observation group(Z=-2.408,P＜0.05).The time required to achieve glycemic control was 6.5(5.0,8.8)days and 7.5(6.0,10.0)days of patients in the observation group and control group,respectively;and the time required to achieve glycemic control of patients in the control group was significantly longer than that in the observation group(Z=-2.019,P＜0.05).The incidence of hypoglycemia of patients in the observation group and control group was 20.0％(8/40),12.5％(5/40),respectively;there was no significant difference in the incidence of hypoglycemia between the observation group and the control group(x2=0.827,P＞0.05).Conclusion Compared with the conventional titration of insulin,the application of CDSS can provide decision support during the implementation of a basal-meal insulin regimen,which can lead to more effective glycemic control,improved glucose TIR,reduced glycemic fluctuations,shorter time required for patients to achieve glycemic control,and shorter hospital stays without increasing the risk of hypoglycemia.

With the rise of new quality productive forces,the financial management of public hospitals is facing unprecedented opportunities for transformation.After defining the concept of new quality productive forces,it analyzed the impact of"digital new quality productive forces"represented by digital technologies such as the Internet,big data,cloud computing,artificial intelligence,blockchain,and the Internet of Things on the financial management of public hospitals.Subsequently,it systematically elaborated on the key strategies for the digital transformation of financial management in public hospitals from five aspects:technological innovation,process reengineering,risk management and compliance,talent cultivation,and data-driven decision-making.

With the rise of new quality productive forces,the financial management of public hospitals is facing unprecedented opportunities for transformation.After defining the concept of new quality productive forces,it analyzed the impact of"digital new quality productive forces"represented by digital technologies such as the Internet,big data,cloud computing,artificial intelligence,blockchain,and the Internet of Things on the financial management of public hospitals.Subsequently,it systematically elaborated on the key strategies for the digital transformation of financial management in public hospitals from five aspects:technological innovation,process reengineering,risk management and compliance,talent cultivation,and data-driven decision-making.

With the rise of new quality productive forces,the financial management of public hospitals is facing unprecedented opportunities for transformation.After defining the concept of new quality productive forces,it analyzed the impact of"digital new quality productive forces"represented by digital technologies such as the Internet,big data,cloud computing,artificial intelligence,blockchain,and the Internet of Things on the financial management of public hospitals.Subsequently,it systematically elaborated on the key strategies for the digital transformation of financial management in public hospitals from five aspects:technological innovation,process reengineering,risk management and compliance,talent cultivation,and data-driven decision-making.

With the rise of new quality productive forces,the financial management of public hospitals is facing unprecedented opportunities for transformation.After defining the concept of new quality productive forces,it analyzed the impact of"digital new quality productive forces"represented by digital technologies such as the Internet,big data,cloud computing,artificial intelligence,blockchain,and the Internet of Things on the financial management of public hospitals.Subsequently,it systematically elaborated on the key strategies for the digital transformation of financial management in public hospitals from five aspects:technological innovation,process reengineering,risk management and compliance,talent cultivation,and data-driven decision-making.