ObjectiveTo investigate the effect and mechanism of Yishen Tongluo prescription in protecting mice from oxidative stress injury in diabetic kidney disease （DKD） via the nuclear factor erythroid 2-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1）/NAD（P）H quinone oxidoreductase 1 （NQO1） signaling pathway. MethodsSpecific pathogen-free （SPF） male C57BL/6 mice were assigned into a control group （n=10） and a modeling group （n=50）. The DKD model was established by intraperitoneal injection of streptozotocin. The mice in the modeling group were randomized into a model group， a semaglutide （40 μg·kg^-1） group， and high-， medium-， and low-dose （18.2， 9.1， 4.55 g·kg^-1， respectively） Yishen Tongluo prescription groups， with 10 mice in each group. The treatment lasted for 12 weeks. Blood glucose and 24-h urine protein levels were measured， and the kidney index （KI） was calculated. Serum levels of creatinine （SCr）， blood urea nitrogen （BUN）， alanine aminotransferase （ALT）， and aspartate aminotransferase （AST） were assessed. The pathological changes in the renal tissue were evaluated by hematoxylin-eosin， periodic acid-Schiff， periodic acid-silver methenamine， and Masson’s trichrome staining. Enzyme-linked immunosorbent assay kits were used to measure the levels of β2-microglobulin （β2-MG）， neutrophil gelatinase-associated lipocalin （NGAL）， kidney injury molecule-1 （KIM-1）， liver fatty acid-binding protein （L-FABP）， nitric oxide synthase （NOS）， glutathione （GSH）， total antioxidant capacity （T-AOC）， and 8-hydroxy-2'-deoxyguanosine （8-OHdG）. Immunohistochemical staining was performed to examine the expression of Kelch-like ECH-associated protein 1 （Keap1） and malondialdehyde （MDA）. Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR） and Western blot were employed to determine the mRNA and protein levels， respectively， of factors in the Nrf2/HO-1/NQO1 signaling pathway. ResultsCompared with the control group， the DKD model group showed rises in blood glucose， 24-h urine protein， KI， SCr， BUN， and ALT levels， along with glomerular hypertrophy， renal tubular dilation， thickened basement membrane， mesangial expansion， and collagen deposition. Additionally， the model group showed elevated levels of β2-MG， NGAL， KIM-1， L-FABP， NOS， and 8-OHdG， lowered levels of GSH and T-AOC， up-regulated expression of MDA and Keap1， and down-regulated expression of Nrf2， HO-1， NQO1， and glutamate-cysteine ligase catalytic subunit （GCLC） （P<0.05）. Compared with the model group， the semaglutide group and the medium- and high-dose Yishen Tongluo prescription groups showed reductions in blood glucose， 24-h urine protein， KI， SCr， BUN， and ALT levels， along with alleviated pathological injuries in the renal tissue. In addition， the three groups showed lowered levels of β2-MG， NGAL， KIM-1， L-FABP， NOS， and 8-OHdG， elevated levels of GSH and T-AOC， down-regulated expression of MDA and Keap1， and up-regulated expression of Nrf2， HO-1， NQO1， and GCLC （P<0.05）. ConclusionYishen Tongluo prescription exerts renoprotective effects in the mouse model of DKD by modulating the Nrf2/HO-1/NQO1 signaling pathway， mitigating oxidative stress， and reducing renal tubular injuries.

Objective: To investigate the mechanism of Yishen Tongluo Formula in ameliorating renal pyroptosis in diabetic nephropathy mice by regulating the toll-like receptor 4 (TLR4)/myeloid differentiation factor 88 (MyD88)/nuclear factor-κB (NF-κB) signaling pathway. Methods: Sixty C57BL/6 male mice were randomly divided into control (10 mice) and intervention groups (50 mice) using random number table method. The diabetes nephropathy model was established by intraperitoneally injecting streptozotocin(50 mg/kg). After modeling, the intervention group was further divided into model, semaglutide (40 μg/kg), and high-, medium-, and low-dose Yishen Tongluo Formula groups (15.6, 7.8, and 3.9 g/kg, respectively) using random number table method. The high-, medium-, and low-dose Yishen Tongluo Formula groups were administered corresponding doses of medication by gavage, the semaglutide group received a subcutaneous injection of semaglutide injection, and the control group and model groups were administered distilled water by gavage for 12 consecutive weeks. Random blood glucose levels of mice in each group were monitored, and the 24-h urinary protein content was measured using biochemical method every 4 weeks; after treatment, the serum creatinine and urea nitrogen levels were measured using biochemical method. The weight of the kidneys was measured, and the renal index was calculated. Hematoxylin and eosin, periodic acid-Schiff, periodic Schiff-methenamine, and Masson staining were used to observe the pathological changes in renal tissue. An enzyme-linked immunosorbent assay was used to detect urinary β2-microglobulin (β2-MG), neutrophil gelatinase-associated lipocalin (NGAL), and kidney injury molecule-1 (KIM-1) levels. Western blotting and real-time fluorescence PCR were used to detect the relative protein and mRNA expression levels of nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3), Caspase-1, gasdermin D (GSDMD), interleukin-1β (IL-1β), and interleukin-18 (IL-18) in renal tissue. Immunohistochemistry was used to detect the proportion of protein staining area of the TLR4, MyD88, and NF-κB in renal tissue. Results: Compared with the control group, the random blood glucose, 24-h urinary protein, serum creatinine, urea nitrogen, and renal index of the model group increased, and the urine β2-MG, NGAL, and KIM-1 levels increased. The relative protein and mRNA expression levels of NLRP3, Caspase-1, GSDMD, IL-1β, and IL-18 in renal tissue increased, and the proportion of TLR4, MyD88, and NF-κB protein positive staining areas increased (P<0.05). Pathological changes such as glomerular hypertrophy were observed in the renal tissue of the model group. Compared with the model group, the Yishen Tongluo Formula high-dose group showed a decrease in random blood glucose after 12 weeks of treatment (P<0.05). The Yishen Tongluo Formula high- and medium-dose groups showed a decrease in 24-h urinary protein, creatinine, urea nitrogen, and renal index, as well as decreased β2-MG, NGAL, and KIM-1 levels. NLRP3, Caspase-1, GSDMD, IL-1 β, and IL-18 relative protein and mRNA expression levels were also reduced, and the proportion of TLR4, MyD88, and NF-κB protein positive staining areas was reduced (P<0.05). Pathological damage to renal tissue was ameliorated. Conclusion Yishen Tongluo Formula may exert protective renal effects by inhibiting renal pyroptosis and alleviating tubular interstitial injury in diabetic nephropathy mice by regulating the TLR4/MyD88/NF-κB signaling pathway.

Objective To investigate the application value of apparent diffusion coefficient(ADC)histogram parameters of multi-plexed sensitivity encoding diffusion weighted imaging(MUSE-DWI)in evaluating lymph node metastasis of cervical cancer(CC).Methods A total of 54 patients with CC diagnosed pathologically after extensive hysterectomy and pelvic lymph node dissection were analyzed retrospectively,and 74 lymph nodes were extracted,including 28 metastatic lymph nodes and 46 non-metastatic lymph nodes.All patients underwent routine MRI examination and MUSE-DWI before surgery.Through the T2WI fat suppression images were referenced,the region of interest(ROI)covering the entire lymph nodes were drawn on the b=800 s/mm2 images of MUSE-DWI,and ADC histogram parameters were obtained including minimum,maximum,mean,median,percentiles(10 th,25 th,75 th,90 th),kurtosis,and skewness.The differences of ADC histogram parameters between the metastatic lymph nodes and the non-metastatic lymph nodes were compared.The receiver operating characteristic(ROC)curves were drawn and the area under the curve(AUC)were calculated to evaluate the diagnostic efficacy of different parameters in distinguishing lymph node metastasis.Results The mean,median,25 th and 75 th percentiles of ADC histogram of the metastatic lymph nodes were significantly lower than those of the non-metastatic lymph nodes(P＜0.05).However,there were no statistically significant differences in minimum,maximum,10 th percentile,90 th percentile,kurtosis,and skewness(P＞0.05).In the evaluation of various parameters for distinguishing lymph node metastasis,the mean had the highest diagnostic efficacy(AUC=0.718),and when the threshold was 963.07×10-6 mm2/s,the sensitivity and specificity were 0.643 and 0.717,respectively.Conclusion The ADC histogram parameters based on MUSE-DWI have high diag-nostic value in differentiating CC lymph node metastasis,and the mean has the highest diagnostic efficiency.

Objective To investigate the predictive value of National Institutes of Health Stroke Scale(NIHSS)score,serum brain-derived neurotrophic factor(BDNF)and interleukin-6(IL-6)in post-stroke depression(PSD).Methods A total of 180 patients with stroke were selected and divided into the PSD group(n=80,HAMD≥8 points)and the non-PSD(NPSD)group(n=100,HAMD＜8 points),according to HAMD score at 3 months after stroke.The basic information,NIHSS score,serum BDNF and IL-6 were compared between the two groups.The influencing factors of PSD were analyzed by Logistic regression method.Receiver operating characteristic(ROC)curves were plotted to evaluate the predictive value of NIHSS score,serum BDNF and IL-6 for PSD.Results Compared with the NPSD grope,low density lipoprotein cholesterol(LDL-C)and serum BDNF level were significantly lower,NIHSS score and serum IL-6 level were significantly increased in the PSD group(P＜0.05).Results of Logistic regression analysis showed that increased NIHSS score and serum IL-6 were risk factors for PSD,and increased serum BDNF was the protective factor in patents with PSD(P＜0.05).The area under curve(AUC)of NIHSS score,serum BDNF and IL-6 and their combination prediction of PSD were 0.762,0.746,0.796 and 0.839,respectively.The sensitivity of the combined prediction was 86.0%and a specificity was 95.0%.Conclusion Compared with NPSD patients,the NIHSS score and serum IL-6 level are increased,and the serum BDNF level is decreased in patients with PSD.The combination of all three has a high predictive value for patients of PSD.

The discussion and research on the clinical dominant diseases of traditional Chinese medicine （TCM） have attracted increasing attention. Through approaches including modern technology， evidence-based medical methods， and multi-disciplinary treatment， we should construct a sound TCM inheritance and innovation system， establish a collaborative innovation mechanism， and integrate major research projects， striving to make breakthroughs in TCM theory， methodology， standards， and regulation system， promoting the scientific and technological progress of TCM， and thereby improving its curative effect. The China Association of Chinese Medicine （CACM） carried out a series of youth salon seminars for clinical dominant diseases in TCM， discussing and sorting out the advantages of the dominant diseases in clinical diagnosis and treatment of TCM and integrated traditional Chinese and western medicine in specific diseases or fields. Authoritative experts in the industry were invited to give comment and guidance to form a report. Centering on clinical research of dominant diseases， thematic research was carried out in the aspects of practice， human experience-based evidence， and transformation path. Through the systematic study of the dominant diseases， the advantages of TCM in different stages of disease treatment were excavated to constantly improve the prevention and treatment ability of TCM and carry forward the advancement of TCM theory and practice. At the same time， the communication and understanding between traditional Chinese and western medicine were improved， laying the foundation for the further formation of industry guidelines or consensus and comprehensive promotion. These seminars are expected to provide references for the development of policy planning， clinical diagnosis and treatment， health economy， and social services in TCM and lay the foundation for the formation of a new modern diagnosis and treatment system with Chinese characteristics.

Objective:To screen key genes of renal clear cell carcinoma based on bioinformatics methods, identify possible microRNA (miRNA)-mRNA action axis, and explore the expression of related genes in clear cell renal cell carcinoma tissues and cells.Methods:Gene expression profiles of GSE40435 and GSE71302 datasets were obtained from the Gene Expression Omnibus (GEO) database. TCGA-KIRC datasets were obtained from The Cancer Genome Atlas (TCGA) database. R software was used to identify the differentially expressed mRNA and miRNA, and the functional enrichment analysis was performed. STRING database and Cytoscape software were used to perform the protein interaction analysis. The prognosis-related differentially expressed miRNA was evaluated by the Oncomir database. The potential targeted genes regulated by miRNA were determined by using TargetScan and miRDB targeted gene prediction tools. The tissue samples and clinicopathological features of 34 patients with clear cell renal cell carcinoma in the First Hospital of Shanxi Medical University from June to December 2021 were collected, and normal renal cell line 293T and clear cell renal cell carcinoma cell line 786O were selected. The real-time fluorescence quantitative polymerase chain reaction (qRT-PCR), was used to detect the relative expression of genes; Western blotting and immunohistochemical staining were used to detect the expression levels of the targeted proteins. The dual luciferase reporter gene assay was carried out to verify the targeting relationship between genes.Results:A total of 1 351 differentially expressed mRNA and 50 differentially expressed miRNA were screened and identified. The result of functional enrichment analysis suggested that the fatty acid metabolism pathway and xenobiotic metabolism pathway were suppressed in clear cell renal cell carcinoma, while the apoptosis and immune response pathways were activated. Protein interaction analysis suggested that the signal transduction and protein ubiquitination pathways might play a key role in clear cell renal cell carcinoma. The screening results showed that miRNA-224-5p (miR-224-5p) was most closely associated with clear cell renal cell carcinoma progression and was highly expressed in tumor tissues, and its prognosis-related target gene was NEDD4L. The relative expression of NEDD4L mRNA in clear cell renal cell carcinoma tissues and paraneoplastic tissues were 0.138±0.103 and 1.000±0.026 ( t = 46.23, P < 0.05), and the relative expression of miR-224-5p was 1.000±0.043 and 0.129±0.108 ( t = 45.28, P < 0.05). The differences of NEDD4L mRNA and miR-224-5p expressions in different grades and stages of clear cell renal cell carcinoma tissues were statistically significant (all P < 0.05). The expression of NEDD4L protein was decreased in clear cell renal cell carcinoma. The relative expression of NEDD4L gene in 293T and 786O cells were 1.000±0.125 and 0.210±0.044 ( t = 17.52, P < 0.05); the relative expressions of miR-224-5p gene were 0.209±0.049 and 1.000±0.234 ( t = 10.61, P < 0.05). The relative expressions of NEDD4L mRNA in miRNA mimic group and negative control group were 0.236±0.062 and 1.000±0.024, and the difference was statistically significant ( t = 43.56, P < 0.05). NEDD4L protein expression was reduced in the miRNA mimic group. Dual luciferase reporter gene assay suggested that NEDD4L was a direct target gene of miR-224-5p. Conclusions:In clear cell renal cell carcinoma, miR-224-5p targets and regulates NEDD4L expression, and this mechanism may be related to carcinogenesis and progression of clear cell renal cell carcinoma.

Objective:To investigate the value of a cuproptosis-related differential long non-coding RNA (lncRNA) scoring formula related to the prognosis of clear cell renal cell carcinoma (ccRCC) patients in the clinical diagnosis, prognosis prediction and treatment options based on bioinformatics.Methods:Gene matrix and clinical data of ccRCC patients were obtained from the Cancer Genome Atlas (TCGA) database (update to 29 March, 2022). The expression data of 539 ccRCC tissues and 72 paracancerous normal tissues were collected from gene matrix; the data of 530 ccRCC were collected from clinical data. Pearson correlation analysis, Wilcoxon signed rank test and univariate Cox proportional risk model were used to analyze the screened cuproptosis-related differential lncRNA related to the prognosis. R software was used to randomly divide 530 ccRCC patients with survival data into training set (266 cases) and validation set (264 cases) according to approximate 1∶1 ratio. LASSO regression analysis was used to construct a cuproptosis-related differential lncRNA scoring formula and cross-validation was performed. Receiver operating characteristic (ROC) curve analysis was used to evaluate the specificity and sensitivity of cuproptosis-related differential lncRNA scoring formula, and the area of the curve (AUC) was calculated. According to the median risk value, all patients were divided into the low-risk group and high-risk group; Kaplan-Meier method was used to analyze the difference in the overall survival (OS) of patients in the low-risk group and high-risk group. T test was used to detect the differences in the risk value of patients with different clinicopathological characteristics. R package rms was used to construct the nomogram for predicting 1-year, 3-year, 5-year OS rates of ccRCC patients, R package pRRophetic was used to predict the half-inhibitory concentration ( IC50) of common targeted drugs such as sorafenib and sunitinib in clinical treatment of ccRCC patients, and IC50 value of patients in low-risk group and high-risk group was compared by using Wilcoxon signed rank test. Tissue samples of 20 ccRCC patients who underwent radical nephrectomy and were diagnosed with pathology and the matched paracancerous normal tissues were collected from the First Hospital of Shanxi Medical University between June 2021 and December 2021. Real-time fluorescence quantitative polymerase chain reaction (qRT-PCR) was used to detect the expression of key lncRNA in ccRCC tissues. Results:Based on the expression matrix of 10 cuproptosis genes (FDX1, LIAS, LIPT1, DLD, DLAT, PDHA1, PDHB, MTF1, GLS, CDKN2A) of ccRCC patients in TCGA database, 153 cuproptosis-related differential lncRNA related to the prognosis were identified. According to LASSO regression analysis, a scoring formula of 4 cuproptosis-related differential lncRNA related to the prognosis was obtained, risk value was calculated as 0.020×AC015912.3+0.011×AC026401.3+0.063×AC103706.1+(-0.076)×EPB41L4A-DT. All patients were divided into high-risk group (≥0.76) and low-risk group (<0.76) based on the median value (0.76). ROC curve analysis showed that the scoring formula had good prediction accuracy in 1-year, 3-year, 5-year OS rates. In training set, validation set, the total cohort, the OS of patients in the high-risk group was worse than that in the low-risk group (all P < 0.001). The age, pathological degree, tumor staging, risk value calculated by cuproptosis-related differential lncRNA were independent influencing factors of OS (all P < 0.001). There were statistically significant differences in the risk value calculated by cuproptosis-related differential lncRNA scoring formula among patients with different pathological degree, tumor staging, T staging, N staging, M staging (all P < 0.01), while there were no statistically significant differences among patients with different gender and age (all P > 0.05). The established nomogram had good prediction accuracy in the 1-year, 3-year, 5-year OS rates. Sunitinib and sirolimus showed higher sensitivity in the high-risk group; axitinib, sorafenib and pazopanib showed higher sensitivity in the low-risk group. qRT-PCR results showed that relative expression level of AC015912.3 in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.04 vs. 0.68±0.24, t = 6.37, P < 0.01); the relative expression level of AC026401.3 in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.05 vs. 0.64±0.22, t = 7.29, P < 0.01); the relative expression level of AC103706.1 in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.04 vs. 0.64±0.21, t = 7.49, P < 0.01); the relative expression level of EPB41L4A-DT in ccRCC tissues was up-regulated compared with paracancerous tissues (1.00±0.06 vs. 0.73±0.10, t = 10.68, P < 0.01). Conclusions:Cuproptosis-related differential lncRNA scoring formula based on TCGA database can be used as a new marker for clinical diagnosis and prognosis prediction of ccRCC patients, which can help guide the clinical drug treatment of patients and facilitate accurate diagnosis and treatment.

BACKGROUND/OBJECTIVES: This study examined the relationship between famine exposure in early life and the risk of type 2 diabetes in adulthood during the 1959–1961 Chinese Famine. SUBJECTS/METHODS: A total of 3,418 individuals aged 35–74 years free of diabetes from two studies in 2006 and 2009 were followed up prospectively in 2009 and 2012, respectively. Famine exposure was classified as unexposed (individuals born in 1962–1978), fetal exposed (individuals born in 1959–1961), child exposed (individuals born in 1949–1958), and adolescent/adult exposed (born in 1931–1948). A logistic regression model was used to assess the relationship between famine exposure and diabetes after adjustment for potential covariates. RESULTS: During a three-year follow-up, the age-adjusted incidence rates of type 2 diabetes were 5.7%, 14.5%, 12.7%, and 17.8% in unexposed, fetal-exposed, child-exposed, and adolescent/adult-exposed groups, respectively (P < 0.01). Relative to the unexposed group, the relative risks (95% confidence interval) for diabetes were 2.15 (1.29–3.60), 1.53 (0.93– 2.51), and 1.65 (0.75–3.63) in the fetal-exposed, child-exposed, and adolescent/adult-exposed groups, after controlling for potential covariates. The interactions between famine exposure and obesity, education level, and family history of diabetes were not observed, except for the urbanization type. Individuals living in rural areas with fetal and childhood famine exposure were at a higher risk of type 2 diabetes, with relative risks of 8.79 (1.82–42.54) and 2.33 (1.17–4.65), respectively. CONCLUSIONS These findings indicate that famine exposure in early life is an independent predictor of type 2 diabetes, particularly in women. Early identification and intervention may help prevent diabetes in later life.

Biliary atresia is a rare infant disease that predisposes patients to liver transplantation and death if not treated in time. However, early diagnosis is challenging because the clinical manifestations and laboratory tests of biliary atresia overlap with other cholestatic diseases. Therefore, it is very important to develop a simple, safe and reliable method for the early diagnosis of biliary atresia. Herein, a novel NIR-II fluorescence probe, HZL2, with high quantum yield, excellent biocompatibility, low cytotoxicity and rapid excretion through the liver and gallbladder was developed based on the oil/water partition coefficient and permeability. A simple fecal sample after injection of HZL2 can be used to efficiently identify the success of the mouse model of biliary atresia for the first time, allowing for an early diagnosis of the disease. This study not only developed a simple and safe method for the early diagnosis of biliary atresia with great potential in clinical translation but also provides a research tool for the development of pathogenesis and therapeutic medicines for biliary atresia.

Objective:To investigate the predictive values of baseline hematoma mean CT value and shape regularity (SR) for hematoma enlargement (HE) in patients with spontaneous intracerebral hemorrhage (ICH).Methods:Patients with ICH admitted to Yulin First Hospital from June 2018 to December 2021 were retrospectively included. The first head CT scan was performed within 24 h of onset, and the second head CT scan was performed within 72 h of the first scan. HE was defined as an increase in hematoma volume of at least 6 ml or 33% from the first CT. 3D Slicer software was used to reconstruct 3D images and SR was calculated. Multivariate logistic regression analysis was used to determine the independent factor for HE. Receiver operator characteristic (ROC) curve was used to evaluate the predictive value of baseline hematoma mean CT value for HE. Results:A total of 249 patients with ICH were enrolled, including 134 males (53.8%), and aged 62.2±12.1 years. The median baseline Glasgow Coma Scale score was 12, and the median time from onset to first CT scan was 3.1 h. The median baseline hematoma volume was 10.9 ml, and 58 patients (23.3%) showed HE. The baseline hematoma mean CT value in the HE group (58.5±3.2 HU vs. 60.3±3.3 HU; P<0.01) and baseline SR (0.615±0.146 vs. 0.688±0.100; P<0.001) were significantly lower in the non-HE group. Multivariate logistic regression analysis showed that the time from onset to first CT scan (odds ratio [ OR] 0.867, 95% confidence interval [ CI] 0.786-0.957; P=0.004), the baseline hematoma volume ( OR 1.050, 95% CI 1.028-1.073; P<0.001), and the baseline hematoma mean CT value ( OR 0.809, 95% CI 0.725-0.902; P<0.001) were the independent predictors of HE, while the baseline SR had no significant independent correlation with HE. ROC curve analysis showed that the area under the curve of baseline hematoma mean CT value for predicting HE was 0.652 (95% CI 0.573-0.731; P<0.001), with an optimal cutoff value of 57.97 HU. The sensitivity and specificity for predicting HE were 50% and 75.9%, respectively. Conclusion:The baseline hematoma mean CT value is an independent factor for HE in patients with ICH and has certain predictive value for HE.