OBJECTIVE To explore the risk factors for acute kidney injury （AKI） in children with steroid-resistant nephrotic syndrome （SRNS） during tacrolimus treatment and construct a predictive model. METHODS A retrospective selection was made of 155 children diagnosed with SRNS and treated with tacrolimus at Xuzhou Children’s Hospital from January 1， 2022， to December 31， 2023， serving as the study subjects. Various clinical data of the children were collected by reviewing the medical record system. Children who developed AKI during medication were assigned to the AKI group （n＝26）， and those who did not develop AKI were assigned to the control group （n＝129）. Univariate and multivariate Logistic regression analyses were used to screen independent risk factors. A clinical predictive model was constructed based on significant variables， and nomogram， calibration curve， receiver operator characteristic curve， and decision curve were drawn to evaluate the model’s performance. RESULTS Univariate analysis showed that blood urea nitrogen （BUN）， serum creatinine （Scr）， estimated glomerular filtration rate （eGFR）， the maximum trough concentration （cmin） of tacrolimus， CYP3A5*3/*3 genotype， concurrent infection， concurrent hypertension， and the use of non-steroidal anti-inflammatory drugs were influencing factors for AKI in children with SRNS during tacrolimus treatment （P＜0.05）. Multivariate Logistic regression analysis revealed that BUN≥9.58 mmol/L， Scr≥125 μmol/L， eGFR＜37 mL/（min·1.73 m2）， tacrolimus maximum cmin≥11.26 ng/mL，CYP3A5*3/*3 genotype， concurrent infection， and concurrent hypertension were independent risk factors for AKI in children with SRNS during tacrolimus treatment （P＜0.05）. The constructed clinical predictive model had an area under the curve of 0.747， showing good agreement between predicted and actual AKI occurrence and demonstrating favorable clinical net benefit in predicting AKI in children. CONCLUSIONS Impaired baseline renal function （elevated BUN， elevated Scr， and decreased eGFR）， elevated maximum cmin of tacrolimus， CYP3A5*3/*3 genotype， concurrent infection， and hypertension during treatment are independent risk factors for AKI in children with SRNS during tacrolimus treatment. The established clinical predictive model provides a scientific basis for implementing risk stratification management.

OBJECTIVE To study the difference of Huangqin decoction combined with Paeoniae Radix Alba(BS) and Paeoniae Radix Rubra(CS)'s effect on ulcerative colitis(UC) based on network pharmacological analysis and animal experiment. METHODS The active constituents of BS and CS were retrieved from TCMSP database and literature, and the potential target was predicted by Swiss Target Prediction. Ulcerative Colitis was used as key words to search disease targets in DisGenet, OMIM, and Genecard databases. The intersection target was obtained by Venny 2.1.0. Cytoscape 3.7.2 software was used to construct network of drug-consumption targets. The STRING platform was used for protein-protein interaction(PPI) network analysis, and Metascape database was applied for GO/WIKI analysis. A dextran sulfate sodium(DSS) induced UC mouse model was established to compare the anti-UC effects of Huangqing decoction combined with BS(HQT-BS) and CS(HQT-CS), respectively. RESULTS There were 7 active components of HQT-BS and 11 active components of HQT-CS in the treatment of ulcerative colitis, respectively, 5 of which were the same. There were 146 and 157 targets respectively, 106 of which were the same. The core targets of HQT-BS were SRC, HSP90AA1, and PIK3R1, while the core targets of HQT-CS were SRC, HSP90AA1, and STAT3. WIKI enrichment analysis showed that several signaling pathways were shared by both BS and CS, such as EGFR tyrosine kinase inhibitor resistance, Notch signaling pathway. EGF/EGFR signaling pathway was the specific pathway related to BS, while Nuclear receptors meta-pathway and Kit receptor signaling pathway were the specific pathways related to CS, respectively. Animal experiments showed that both HQT-BS and HQT-CS could significantly improve colon shortening and tissue pathological alternation induced by DSS. However, HQT-CS was more effective in reducing the expression of interleukin-6 and neurogenic locus notch homolog protein1. CONCLUSION Both HQT-BS and HQT-CS have anti-UC effect, and HQT-CS is the better one.

Objective To evaluate thri-operators and the blood-oxygen functional image technology in di-agnosing breast cancer. Methods One hundred and forty-six patients were admitted to hospital for operation due to one hundred and fifty-three suspicious lesions detected in their breasts. These lesions were detected by physical examination, thri-operators and the blood-oxygen functional image, mammography uhrasonography. The sensitivity and specificity of each diagnostic method were obtained and the radiolagie-pathologic correlation was meanwhile calculated. Results Sixty one(41.8%)breast lesions were diagnosed as malignancy. The sensitivity, specificity, accuracy,positive prognostic value and negative prognostic value of ultras onography were 80. 33% ,89. 41%,85.61% ,84.48% and 86.36%. Such data of mammography were 57.89% ,80. 36% ,69.03% ,75.00% and 65. 22%. And those of thri-operators and the blood-oxygen functional image technology were 91.80% ,83.53%, 86.99% ,80.00% and 94.67%. Conclusions Thri-operators and the blood-oxygen functional image technology is superior to uhrasonography and mammography in diagnosing breast lesions with its sensitivity accuracy and neg-ative prognostic value, while specificity and positive prognostic value were between them, have greater value in screeninging and the diagnosing breast cancer.