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 investigate the application efficiency and potential of CT radiomics in differentiating malignant and benign sub-centimeter solid pulmonary nodules. Methods A retrospective study was performed on the sub-centimeter ( ≤ 10 mm) solid pulmonary nodules detected by enhanced CT in our hospital from March 2020 to January 2023. Malignancy was confirmed by surgical pathology, and benignity was confirmed by surgical pathology or follow-up. Lesions were manually segmented and radiomic features were extracted. The feature dimension was reduced via feature correlation analysis and least absolute shrinkage and selection operator (LASSO). The 5-fold cross validation was used to validate the model. Support vector machine, logistic regression, linear classification support vector machine, gradient boosting, and random forest models were established for CT radiomics. Receiver operating characteristic curves were drawn. Delong test was used to compare the diagnostic performance of the five classifiers. The optimal model was selected and compared to radiologists with medium and high seniority. Results A total of 303 nodules, 136 of which were malignant, were examined. Radiomics models were established after feature extraction and selection. On test set, the areas under the receiver operating characteristic curves of support vector machine, logistic regression, linear classification support vector machine, random forest, and gradient boosting models were 0.922 (95%CI: 0.893, 0.950), 0.910 (95%CI: 0.878, 0.942), 0.905 (95%CI: 0.872, 0.938), 0.899 (95%CI: 0.865, 0.933), and 0.896 (95%CI: 0.862, 0.930), respectively. Delong test indicated no significant differences in the performance of the five radiomics models, and the support vector machine model showed the highest accuracy and F1 score. The support vector machine model showed significantly higher diagnostic accuracy as compared to radiologists (83.8% vs. 55.4%, P < 0.001). Conclusion The radiomics models achieved high diagnostic efficiency and may help to reduce the uncertainty in diagnosis of malignant and benign sub-centimeter solid nodules by radiologists.

Objective To investigate the mechanism by which Liraglutide improves the inflammatory response in metabolic associated fatty liver disease(MAFLD)by regulating the interferon gene stimulating factor(STING)signaling pathway.Methods 20 male C57BL/6J mice were randomly divided into normal diet group(NC),Liraglutide intervention group(NC+Lir group),high fat diet group(HFD group)and Liraglutide intervention high fat diet group(HFD+Lir group),with 5 in each group.Mouse primary hepato-cytes(MPHs)were divided into normal control(Con)group,Liraglutide intervention group(Con+Lir group),palmitic acid group(PA group)and Liraglutide intervention PA group(PA+Lir group).The levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST)in serum and triglyceride(TG)contents in liver were detected.HE and oil red O staining were used to observe the pathological changes in the liver and to calculate the MAFLD activity score(NAS).The mRNA expression levels of STING,IL-1β and TNF-α in tissues and cells were detected by qRT-PCR.The protein expression levels of STING,p-IRF3 and IFN-β were detected by Western blot.Results Body weight,liver tissue weight,serum ALT,AST,liver TG,steatosis,lobular inflammation and balloon-like NAS in HFD group were higher than those in NC group(P＜0.05 or P＜0.01).Body weight,liver tissue weight,serum ALT,AST,liver TG,steatosis,lobular inflammation and balloon-like NAS in HFD+Lir group were lower than those in HFD group(P＜0.05 or P＜0.01).The mRNA expressions of STING,IL-1β,TNF-α and the protein expressions of STING,p-IRF3 and IFN-β in liver of HFD group were higher than those of NC group(P＜0.05).The mRNA expressions of STING,IL-1β,TNF-α and the protein expressions of STING,p-IRF3 and IFN-β in HFD+ Lir group were lower than those in HFD+ Lir group(P＜0.05).The mRNA expressions of STING,IL-1β,TNF-α and the protein expressions of STING,p-IRF3 and IFN-β in PA group were higher than those in Con group(P＜0.01).The mRNA expressions of STING,IL-1β,TNF-α and the protein expressions of STING,p-IRF3 and IFN-β in PA+Lir group were lower than those in PA group(P＜0.05 or P＜0.01).Conclusion Liraglutide ameliorates the high-fat-induced inflammation responses in MAFLD by regulating the STING signaling pathways.

Objective To improve the determination of gross α and gross β radioactivity in soil, establish a fast and accurate method for soil radioactivity analysis, and provide a basis for establishing standard methods for analysis of gross α and gross β radioactivity in soil. Methods Using the method of soil nuclide extraction and the sample preparation method for low background α/β counter, an extraction-enrichment method was established to monitor the radioactivity of gross α and gross β in soil. Meanwhile, the radioactivity of gross α and gross β in the same soil samples was determined using the direct paving method. An optimal method of monitoring gross α and gross β radioactivity in soil was put forward by comparing the advantages and disadvantages of the two methods. Results With the direct paving method, the radioactivity of gross α and gross β in soil was 0.47 Bq/g and 0.85 Bq/g, respectively; and the minimum detection limit was 0.04 Bq/g and 0.02 Bq/g, respectively. With the extraction-enrichment method, the radioactivity of gross α and gross β in soil was 0.32 Bq/g and 0.29 Bq/g, and the minimum detection limit was 0.02 Bq/g and 0.01 Bq/g. Conclusion Comparison of the two detection methods showed that the direct paving method is more accurate and easier to operate, while the extraction-enrichment method is complex in operation and has relatively large system error but provides a lower minimum detection limit.

Objective:To analyze the risk factors for the most common adverse events, i.e. abdominal pain and distension in sedation-free colonoscopy.Methods:This was a multicenter clinical study, in which clinical data of patients including outpatients and inpatients who underwent selective sedation-free colonoscopy at six gastrointestinal endoscopy centers from July 2017 to December 2019 were collected, including patients' general information, complicating diseases, examination time, examination results, and occurrence of adverse events of abdominal pain and distension. Univariate and multivariate logistic regression was performed to analyze the risk factors for adverse events of abdominal pain and distension during sedation-free colonoscopy.Results:A total of 2 394 patients underwent sedation-free colonoscopy, among whom 690 (28.8%) suffered from abdominal pain, and 1 151 (48.1%) experienced abdominal distension. The results of multivariate logistic analysis showed that overweight ( OR=1.33, 95% CI:1.09-1.62, P=0.005), obesity ( OR=1.55, 95% CI:1.14-2.11, P=0.005) and combination of hypertension ( OR=1.58, 95% CI:1.23-2.02, P<0.001) were independent risk factors for abdominal pain during sedation-free colonoscopy, and overweight ( OR=1.40, 95% CI:1.17-1.68, P<0.001) and combination of hypertension ( OR=1.39,95% CI:1.10-1.76, P=0.006) were independent risk factors for abdominal distension during sedation-free colonoscopy. Conclusion:Obesity, overweight and combination of hypertension are independent risk factors for abdominal pain, and overweight and combination of hypertension are independent risk factors for abdominal distension during sedation-free colonoscopy.

Multiple myeloma (MM) is a common malignant hematological tumor in adults, which is characterized by clonal malignant proliferation of plasma cells in the bone marrow and secretion of a large number of abnormal monoclonal immunoglobulins (M protein), leading to bone destruction, hypercalcemia, anemia, and renal insufficiency (Alexandrakis et al., 2015; Yang et al., 2018). Since a large number of new drugs, represented by proteasome inhibitors and immunomodulators, have been successfully used to treat MM, treatment efficacy and survival of patients have been significantly improved. However, due to the high heterogeneity of this disease, patients have responded differently to treatments with these new drugs (Palumbo and Anderson, 2011; Wang et al., 2016; Huang et al., 2020). Growth and survival of MM cells depend on the bone marrow microenvironment, especially numerous inflammatory cytokines secreted by myeloma cells and bone marrow stromal cells, such as vascular endothelial growth factor (VEGF), interleukin (IL)‍-6, transforming growth factor-‍β (TGF‍‍-‍‍β), and IL-10. These cytokines can promote the growth of myeloma cells, induce angiogenesis, and inhibit antitumor immunity, and are often linked to patient prognosis (Kumar et al., 2017). In this era of new drugs, the prognostic values of the serum levels of these cytokines in MM need further evaluation.
Adult ; Humans ; Cytokines ; Disease Progression ; Interleukin-10 ; Interleukin-6/metabolism* ; Multiple Myeloma/drug therapy* ; Tumor Microenvironment ; Vascular Endothelial Growth Factor A

Objective:To improve the analytical method of radionuclide 14C, and estimate the internal dose caused by 14C to human, in order to protect the health of workers and the public in workplaces involving potential 14C exposure. Methods:Urine samples were pretreated by wet oxidation. In the analysis, potassium persulfate was used as an oxidant to decompose urea into carbon dioxide, which was absorbed by 1 mol/L sodium hydroxide, and the absorption solution was converted into calcium carbonate precipitation. After calcium carbonate powder was prepared into sample source by suspension method, the low background liquid scintillation counter was applied to measure the radioactivity, which can be used for calculating the result.Results:The reaction time optimized by using carbamide as carrier was 1 h. For 80 ml urine, the amount of potassium persulfate used was 10 g. The method recovery rate reached about 100%. Four real urine samples were tested using the optimized method, and the result of activity concentration 14C was 0.32, 0.60, 0.86 and 0.74 Bq/L, respectively. Conclusions:The optimized method had good stability, high accuracy and stable experimental result, which could meet the needs of routine radiological detection. The establishment of a quantitative method for 14C in urine sample has improved the methodological system for 14C monitoring.

Objective:To evaluate the role of nucleotide-binding oligomerization domain-2 (NOD2) in dorsal root ganglion in the development of neuropathic pain (NP) in rats.Methods:Thirty-two adult male SPF Sprague-Dawley rats, weighing 240-260 g, aged 2-3 months, were divided into 4 groups ( n=8 each) using a random number table method: control group (group C), NP group (group S), negative control siRAN group (group N), and NOD2-siRNA group (group R). In N and R groups, 1×10 8 IFU/ml negative control siRNA and NOD2-siRNA 10 μl were intrathecally injected, respectively, once a day for 3 consecutive days.Normal saline 10 μl was intrathecally injected once a day for 3 consecutive days in C and S groups.The model of NP was established using spared nerve injury (SNI) at 2 weeks after intrathecal injection.The mechanical paw withdrawal threshold (MWT) was measured at 1 day before surgery and 1, 3, 7, 10, 14 and 28 days after SNI.Animals were sacrificed after measuring pain threshold on day 28, and the dorsal root ganglions (DRGs) of the lumbar segment (L 4-6) were removed for determination of the expression of NOD2 (by Western blot) and expression of tumor necrosis factor-alpha (TNF-α), interleukin-1beta (IL-1β), IL-6 and NOD2 mRNA (using quantitative real-time polymerase chain reaction). Results:Compared with group C, MWT was significantly decreased at each time point after SNI, and the expression of NOD2 protein and mRNA and TNF-α, IL-1β and IL-6 mRNA in DRGs was up-regulated in group NP ( P<0.01). Compared with group NP, MWT was significantly increased at each time point after SNI, and the expression of NOD2 protein and mRNA and TNF-α, IL-1β and IL-6 mRNA in DRGs was down-regulated in group R ( P<0.01), and no significant change was found in the parameters mentioned above in group N ( P>0.05). Conclusion:The mechanism underlying the development of NP may be related to the up-regulation of NOD2 expression in DRGs, thus further promoting the expression of pro-inflammatory factors in rats.