Antibody-negative autoimmune encephalitis （AE） in children poses certain challenges for clinical diagnosis and treatment due to the lack of characteristic autoantibodies. This study conducts a retrospective analysis of the clinical data of a boy， aged 7 years， who had the main manifestations of “irritability， vomiting， pyrexia， and lethargy”. Video electroencephalography showed diffuse slow waves， with the presence of type 2 cerebrospinal fluid oligoclonal bands， and the boy was tested negative for related autoantibodies in blood and cerebrospinal fluid. Finally the boy was diagnosed with antibody-negative AE. After admission， the boy received first-line immunotherapy with methylprednisolone and intravenous immunoglobulin， combined with tocilizumab for intensive treatment， and the symptoms were rapidly relieved. At 1 week after discharge， the boy experienced memory loss， and head MRI suggested cerebral atrophy. After 1 month of adjuvant hyperbaric oxygen therapy， the boy’s memory recovered to the level before disease onset， and reexaminations of MRI and video electroencephalography obtained normal results.No recurrence was observed during follow-up for 6 months， and the boy achieved satisfactory academic performance.This case suggests that for children with antibody-negative AE， first-line immunotherapy combined with tocilizumab can rapidly control inflammation， and the addition of hyperbaric oxygen therapy can effectively improve subsequent cerebral structural and cognitive abnormalities， with few adverse reactions， which provides a new clinical approach for the treatment of this type of disease.

"Chinese Pharmacopoeia"is the legal basis for drug development,production,operation,use and man-agement in China,and the Chinese Pharmacopoeia 2025 Edition is going to be issued and implemented.This article introduces the revision and amendment situations,analyzes the characteristics of the new edition of the Pharmaco-poeia and the future development direction of national standards for better understanding and implementation of the latest edition of pharmacopoeia.

“Chinese Pharmacopoeia” is the legal basis for drug development, production, operation, use and management in China, and the Chinese Pharmacopoeia 2025 Edition is going to be issued and implemented. This article introduces the revision and amendment situations, analyzes the characteristics of the new edition of the Pharmacopoeia and the future development direction of national standards for better understanding and implementation of the latest edition of pharmacopoeia.

ObjectiveTo investigate the therapeutic effect of sequential administration of Dihuang Baoyuan granules （DHBY， the prescription for consolidating body resistance） and Fuling Yunhua granules （FLYH， the prescription for treating symptoms） on spontaneous type 2 diabetes mellitus （T2DM） in mice. MethodsAccording to the fasting blood glucose （FBG） level， 12-week-old db/db mice were randomized into six groups： model， DHBY （18.02 g·kg^-1）， FLYH （14.80 g·kg^-1）， sequential administration 1 （SEQ-1， DHBY 18.02 g·kg^-1+FLYH 14.80 g·kg^-1）， sequential administration 2 （SEQ-2， FLYH 14.80 g·kg^-1+DHBY 18.02 g·kg^-1）， and dapagliflozin （Dapa， 1.3 mg·kg^-1）. The m/m mice in the same litter were selected as the normal group. The mice were administrated with corresponding drugs by gavage for 8 consecutive weeks. During the 8 weeks of drug administration and 2 weeks after withdrawal， the retinal thickness， FBG， hemoglobin A1c （HbA1c）， and insulin were determined， and histopathological changes of the pancreas， liver， kidney， and retina were observed by hematoxylin-eosin （HE） staining. ResultsCompared with the model group， SEQ-1 for 4 weeks lowered the FBG level （P<0.05）， raised the insulin level， decreased the triglyceride （TG） level （P<0.05）， increased the number of optic ganglion cells and diminished vacuolar degeneration of pancreatic islet and liver. SEQ-2 lowered FBG and HbA1c levels （P<0.05）， rose the insulin level， increased the retinal thickness and the number of optic ganglion cells （P<0.05）， and alleviated vacuolar degeneration of pancreatic islet and liver. Two weeks after drug withdrawal， Dapa tended to increase FBG and HbA1c compared with those at the time of drug withdrawal. However， the levels of FBG and HbA1c in the SEQ-2 group remained decreasing （P<0.05）. ConclusionSEQ-1 and SEQ-2 can lower the blood glucose level and ameliorate diabetic retinopathy， and SEQ-2 outperformed DHBY and FLYH in lowering the blood glucose level. Moreover， SEQ-2 can maintain the blood glucose-lowering effect after drug withdrawal.

ObjectiveTo investigate the therapeutic effect of sequential administration of Dihuang Baoyuan granules （DHBY， the prescription for consolidating body resistance） and Fuling Yunhua granules （FLYH， the prescription for treating symptoms） on spontaneous type 2 diabetes mellitus （T2DM） in mice. MethodsAccording to the fasting blood glucose （FBG） level， 12-week-old db/db mice were randomized into six groups： model， DHBY （18.02 g·kg^-1）， FLYH （14.80 g·kg^-1）， sequential administration 1 （SEQ-1， DHBY 18.02 g·kg^-1+FLYH 14.80 g·kg^-1）， sequential administration 2 （SEQ-2， FLYH 14.80 g·kg^-1+DHBY 18.02 g·kg^-1）， and dapagliflozin （Dapa， 1.3 mg·kg^-1）. The m/m mice in the same litter were selected as the normal group. The mice were administrated with corresponding drugs by gavage for 8 consecutive weeks. During the 8 weeks of drug administration and 2 weeks after withdrawal， the retinal thickness， FBG， hemoglobin A1c （HbA1c）， and insulin were determined， and histopathological changes of the pancreas， liver， kidney， and retina were observed by hematoxylin-eosin （HE） staining. ResultsCompared with the model group， SEQ-1 for 4 weeks lowered the FBG level （P<0.05）， raised the insulin level， decreased the triglyceride （TG） level （P<0.05）， increased the number of optic ganglion cells and diminished vacuolar degeneration of pancreatic islet and liver. SEQ-2 lowered FBG and HbA1c levels （P<0.05）， rose the insulin level， increased the retinal thickness and the number of optic ganglion cells （P<0.05）， and alleviated vacuolar degeneration of pancreatic islet and liver. Two weeks after drug withdrawal， Dapa tended to increase FBG and HbA1c compared with those at the time of drug withdrawal. However， the levels of FBG and HbA1c in the SEQ-2 group remained decreasing （P<0.05）. ConclusionSEQ-1 and SEQ-2 can lower the blood glucose level and ameliorate diabetic retinopathy， and SEQ-2 outperformed DHBY and FLYH in lowering the blood glucose level. Moreover， SEQ-2 can maintain the blood glucose-lowering effect after drug withdrawal.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

Objective To investigate the effect of nutritional deficiency on autophagic flux in human hepatoblastoma HepG2 cells and the autophagy-dependent molecular pathway mediated by ATG5 against nutritional stress.Methods Lentiviral siRNA knockdown of ATG5 was performed to knock down the expression in HepG2 cells,and the transfection was verified by Western blotting and qRT-PCR.HBSS was used to treat HepG2 cells for 0,1,2,3,4,5,6 and 7 h for starvation-induced autophagy.Monodansylcadaverine(MDC)fluorescence staining was employed to detect the formation of intracellular autophagic vesicles.Western blotting was performed to measure the expression changes in microtubule-associated protein 1A/1B-light chain 3(LC3),autophagy receptor protein(sequestosome 1,P62),autophagy-related gene 5(ATG5)and nutrient stress pathway(AMPK/mTOR pathway)related proteins.CCK-8 assay was utilized to test cell proliferation.Results Compared with the HepG2 cells under conventional culture medium,starvation induction resulted in more autophagic vacuoles(accumulation of autofluorescent marker,MDC),which peaked at 6 h of starvation(P<0.000 1),up-regulated protein levels of LC3B-Ⅱ and ATG5(P<0.05),decreased protein expression of P62(P<0.05),gradual activation of the AMPK/mTOR pathway with elapse of starvation time,and increase in the intensity of autophagic flux.However,in the HepG2 cells with ATG5 knockdown,starvation treatment led to decreased ATG5 expression,no significant difference in LC3B-II and P62 changes,inhibited autophagic flux,and suppressed cell proliferation(P<0.000 1).Conclusion Human hepatoblastoma HepG2 cells can regulate autophagic flux to against nutritional stress by inducing ATG5 expression.

Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.

Objective:To discuss the clinical characteristics,diagnosis,and treatment of Shwachman-Diamond syndrome(SDS),and to enhance the clinicians'awareness of the disease.Methods:The clinical materials of one patient diagnosed with SDS,primarily presented with neutropenia and elevated transaminase levels,confirmed by genetic testing were retrospectively analyzed.The clinical manifestations,genetic features,diagnosis,and treatment methods of SDS were analyzed complemented with the relevant literatures.Results:This patient was a male child,aged 27 months.His initial clinical presentations were neutropenia and elevated transaminase levels.The patient had previously experienced diarrhea when the patient was 3 months old,which improved after treated with oral pancreatic enzyme dispersion.Over the past six months,the patient had recurrent respiratory infections.Upon admission,the examination results showed there was dental enamel hypoplasia,and the imaging results showed the abnormal bone density in the long bones of the limbs.The genetic sequencing results showed a homozygous mutation in the Shwachman-Bodian-Diamond syndrome(SBDS)gene(c.258+2T>C).During hospitalization,the patient received the hepatoprotective care and granulocyte augmentation supportive treatment,leading to an improvement in his condition,and the patient was discharged.During a one-year follow-up,the patient's condition was stable.Conclusion:The typical presentation of the SDS patient includes diarrhea,liver function abnormalities,hematologic abnormalities,and skeletal anomalies,particularly neutropenia;there may also be developmental delays and involvement of the heart,liver,central nervous system,skeleton,and immune system.The genetic testing of suspected children is crucial,and it can aid in the early diagnosis and treatment of SDS patients.