Stroke is one of the leading causes of disability and mortality worldwide. Research into its mechanisms and the development of therapeutic strategies heavily rely on animal models that accurately replicate the pathological features of human disease. An ideal animal model for stroke should not only reproduce the neurological deficits and pathological changes observed in clinical patients but also demonstrate good reproducibility and translational value. This review focuses on the preparation and evaluation methods of ischemic stroke animal models. Firstly, it elaborates on the selection criteria, advantages, and disadvantages of experimental animals, including rodents (rats, mice) and non-rodents (non-human primates, miniature pigs, rabbits, zebrafish). Secondly, it provides a detailed overview of the modeling principles, key procedures, and application scopes for ischemic stroke models and hemorrhagic stroke models. Furthermore, the review summarizes advances in the applications of emerging technologies—including gene editing [e.g., clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) gene editing], multimodal imaging (e.g., two-photon microscopy, photoacoustic imaging), artificial intelligence, optogenetics, 3D bioprinting, organoid models, and multi-omics–in model optimization, precise assessment, and mechanistic investigation. Finally, based on a systematic analysis of relevant domestic and international literature from 2019 to 2024, this review discusses model selection strategies based on research objectives, a multidimensional evaluation system encompassing behavioral, imaging, and molecular pathological assessments, and envisions future directions involving technological integration to achieve model precision and individualization. This article aims to provide a comprehensive methodological reference to help researchers select appropriate animal models of stroke according to specific scientific questions.

Objective:To explore the genetic and clinical characteristics of Guizhou patients with enlarged vestibular aqueduct（EVA） syndrome through combined SLC26A4 variant analysis and clinical phenotype analysis. Methods:Seventy-two EVA patients underwent comprehensive genetic testing using a multiplex PCR-based deafness gene panel and next-generation sequencing（NGS）. The audiological and temporal bone imaging characteristics were compared across mutation subtypes. Results:A total of 27 pathogenic loci of SLC26A4 were detected in 72 patients, including c.919-2A>G in 79.2%（57/72）. A novel deletion（c.1703_1707+6del） was discovered. Among 65 cases, truncated mutations were 89.2%（58/65）, 52.3%（34/65）, 28（43.1%） and 7（10.8%）. No significant differences were observed in the midpoint diameter of the vestibular aqueduct and the incidence of incomplete partitioning typeⅡ（IP-Ⅱ） of the cochlea among the three groups of patients. Moreover, there was no difference in the midpoint diameter of different vestibular pipes or the combination with IP-Ⅱ. Conclusion:The most common mutation site of SLC26A4 in EVA patients in Guizhou is c.919-2A>G, though genotype-phenotype correlations remain elusive. The detection of 27 mutation sites and the discovery of new mutation sites suggested the precise diagnostic significance of NGS technology in EVA patients in Guizhou.
Humans ; Sulfate Transporters ; Vestibular Aqueduct/abnormalities* ; Mutation ; Membrane Transport Proteins/genetics* ; Hearing Loss, Sensorineural/genetics* ; Male ; Female ; Child ; Adolescent ; Child, Preschool ; Adult ; Young Adult ; Phenotype ; High-Throughput Nucleotide Sequencing

Objective:To explore the medication law of national TCM master Lu Fang in the treatment of primary trigeminal neuralgia (PTN) based on data mining.Methods:With the prescription of the outpatient patients of Harbin Traditional Chinese Medicine Hospital of Professor Lu Fang from September 2014 to September 2022 as the data source, the frequency, property and taste, and meridian tropism of the prescribed drugs were analyzed using Excel 2022 software. R 4.2.1 was used for mining analysis on Chinese materia medica, including correlation, relevance, and clustering,and the medication law in the treatment of PTN was discussed.Results:A total of 300 prescriptions were analyzed, involving 177 kinds of Chinese materia medica, with a frequency of 3 120 times, and 34 kinds of of high-frequency Chinese materia medica. The high frequently Chinese materia medica included Chuanxiong Rhizoma, Angelicae Dahuricae Radix, Puerariae Lobatae Radix, Ligustici Rhizoma et Radix, and Viticis Fructus. The main properties were warm, slightly cold, and neutral, while the main tastes were pungent, bitter, and sweet. The meridian tropism analysis ranked the liver, lung, spleen, and stomach meridians in descending order. Analysis yielded 21 strong association rules, and the association analysis formed a core prescription group based on Chuanxiong Rhizoma, Angelicae Dahuricae Radix, and Ligustici Rhizoma et Radix. The analysis obtained 5 types of clustering combinations.Conclusion:Professor Lu Fang's the medication law to treat primary trigeminal neuralgia is mainly dispelling wind and alleviating pain, which is often combined with the methods, such as searching and dredging collaterals, clearing and dispelling the stagnated heat, calming the liver and subduing yang, soothing the liver and invigorating the spleen.

Acute hypobaric hypoxic brain damage is a potentially fatal high-altitude sickness. Autophagy plays a critical role in ischemic brain injury, but its role in hypobaric hypoxia (HH) remains unknown. Here we used an HH chamber to demonstrate that acute HH exposure impairs autophagic activity in both the early and late stages of the mouse brain, and is partially responsible for HH-induced oxidative stress, neuronal loss, and brain damage. The autophagic agonist rapamycin only promotes the initiation of autophagy. By proteome analysis, a screen showed that protein dynamin2 (DNM2) potentially regulates autophagic flux. Overexpression of DNM2 significantly increased the formation of autolysosomes, thus maintaining autophagic flux in combination with rapamycin. Furthermore, the enhancement of autophagic activity attenuated oxidative stress and neurological deficits after HH exposure. These results contribute to evidence supporting the conclusion that DNM2-mediated autophagic flux represents a new therapeutic target in HH-induced brain damage.
Mice ; Animals ; Hypoxia ; Oxidative Stress ; Autophagy ; Cognition ; Sirolimus/therapeutic use*

Community acquired pneumonia（CAP）is the leading cause of death in children，and as molecular diagnostic techniques continue to improve，more CAP is found to be caused by viral infections. At present，many factors are known to affect the severity of viral pneumonia，including viral subtypes，viral virulence，host factors，environmental factors，etc. Some studies have found that viral load is related to the severity of viral pneumonia，and different viral load levels have different effects on the severity of viral pneumonia. The correlation with virus type，subtype，site of virus specimen collection，age，sex and co-infection may be also different. This article will review the relationship between viral load and disease severity in pneumonia caused by common respiratory viral infections.

Objective:To evaluate the efficacy of individualized removal therapeutic regimen for donor-specific antibodies (DSA) and examine its related influencing factors.Method:From January 2016 to January 2021, 34 recipients of kidney transplant (KT) underwent regular DSA testing and the results were positive. DSA removal therapy based upon rituximab (RTX) plus intravenous immune globulin (IVIG) was offered. Correlation between DSA negative conversion rate and DSA types, time from start of treatment to transplantation, HLA loci targeted by DSA and DSA mean fluorescent intensity (MFI) were analyzed retrospectively. Changes of immunedominant DSA (iDSA) and serum creatinine in individuals with de novo DSA (dnDSA) before and after treatment were also examined.Results:At Month 3 post-treatment, antibodies turned negative in 17/34(50.0%) patients and DSA became negative in 19/34(55.9%) at the last follow-up. Then we identified 78 DSA from all patients. No significant difference existed in negative conversion rate of pfDSA and dnDSA at Month 3 post-treatment [62.9%(39/62) vs 37.5%(6/16)] and at the last follow-up [4.2%(46/62) vs 56.3%(9/16)]( P=0.067, 0.219). For pfDSA, negative conversion rate of pfDSA with different MFIs after 3-month treatment varied significantly [negative conversion rate of weak positive DSA was 78.6%(33/42) and positive and above DSA 30%(6/20), P<0.001]. It was an independent related factor of whether or not pfDSA could turn negative (48.6%, 95% CI: 22.3%-66.8%, P=0.001). At the last follow-up, negative conversion rate of pfDSA differed markedly at different timepoints from start of treatment to transplantation [treated within 30 days post-operation was 79.2%(42/53) and over 30 days post-operation was 44.4%(4/9), P=0.042] and among different DSA MFI [88.1%(37/42) of weakly positive DSA and 45%(9/20) of positive and above DSA, P<0.001] and they were independent related factors for negative conversion of pfDSA (34.8%, 95% CI: 3.2%-61.8%, P=0.008; 43.1%, 95% CI: 18.5%-63.4%, P=0.001). Mean decline rate in iDSA was 66.67% at Month 3 post-treatment and 77.90% at the last follow-up. The difference was statistically significant ( P=0.035). Serum level of creatinine of 9 patients with dnDSA was (110.2±26.9) μmol/L pre-treatment, (178.8±90.5) μmol/L during treatment, (153.9±72.8) μmol/L at Month 3 post-treatment and (213.6±185.8) μmol/L at the last follow-up. Serum creatinine rose during treatment ( t=-2.794, P=0.023), declined at Month 3 post-treatment ( t=3.430, P=0.009) and spiked again at the last follow-up ( P=0.028). Conclusion:After DSA removal therapy based upon RTX plus IVIG, negative conversion rate of pfDSA is correlated with its MFI and time from start of treatment to transplantation. There is no significant rebound in DSA MFI and graft function of dnDSA patients improves immediately after treatment.

Objective To explore the effective target and active ingredient prediction of premature ovarian insufficiency(POI)treated by Tiaojing decoction by ferroptosis pathway by network pharmacokogy and bioniformatics.Methods The active ingredients and target genes of Tiaojing decoction were obtained through traditional Chinese medicine systems pharmacology database and analysis platform(TCMSP)and bioinformatics analysis tool for molecular mechanism of traditional Chinese medicine databases,disease targets for POI were obtained by using GeneCards,therapeutic target database and Drugbank,and intersection targets were obtained by Venn.Core target gene network of Tiaojing decoction in treatment of POI were constructed through the ferroptosis pathway by ferroptosis database,Cytoscape and STRING software.Then,the DAVID database was used to perform gene ontology and biological pathway enrichment analysis on the predicted targets related to ferroptosis of POI treated with Tiaojing decoction.Subsequently,differential genes in biology related to POI were obtained through the gene expression omnibus(GEO)database for further extraction of key targets,and the binding affinity of active small molecule drug components were verified through molecular docking.Results A total of 154 active ingredients,101 targets related to POI and 23 genes related to ferroptosis were selected from 13 kinds of traditional Chinese medicines in Tiaojing decoction.The enrichment analysis showed that the main involved pathways were phosphatidylinositol-4,5-bisphosphate 3-kinase/protein kinase B(PI3K/Akt)signaling pathway and hypoxia inducible factor-1 signaling pathway.Through GEO database screening,the key targets of Tiaojing decoction in intervening POI through ferroptosis pathway were glycogen synthase kinase-3 β(GSK-3 β),caveolin-1(CAV1),mammalian target of rapamycin(mTOR)and protein kinase C alpha gene(PRKCA),all expression of which reduced in POI.The results of molecular docking showed that CAV1-quercetin and GSK-3β-luteolin had stable binding ability.Conclusion The network pharmacology results suggest that the ferroptosis pathway may be an important mechanism of Tiaojing decoction in treatment of POI,GSK-3β,CAV1,mTOR,PRKCA and other targets,as well as PI3K/Akt signaling pathway,may play important roles in them.

Objective:To explore the risk factors related to acute rejection (AR) after pediatric kidney transplantation (KT).Methods:Retrospective analysis was performed for 189 pediatric KT recipients from September 2011 to August 2022.They were divided into two groups of AR (n=33) and non-AR (n=156).Univariate and multivariate Logistic regression analyses were performed for identifying potential risk factors of AR.And the effects of AR on graft function and survival were also examined.Results:During follow-ups, a total of 33(17.5%) patients developed AR with a 1-year cumulative incidence of AR of 16.9%(32/189).Univariate analysis revealed that median time on dialysis was longer in AR group than that in non-AR group (19 vs. 11 months, P=0.034).Median age of donors (12 vs. 24 months, P=0.033), median weight of donors (9.5 vs. 12 kg, P=0.025) and median donor/recipient body weight ratio (0.36 vs. 0.50, P=0.005) were lower in AR group than those in non-AR group.And the proportion of subtherapeutic tacrolimus (TAC) trough level was higher in AR group than that in non-AR group (45.5% vs. 21.2%, P=0.004).Multivariate regression analysis indicated that subtherapeutic TAC trough level was an independent risk factor for AR ( OR=2.977, 95% CI: 1.314-6.743, P=0.009).At the last follow-up, serum creatinine and eGFR were (78.4±24.3) vs. (74.6±24.7) μmol/L and (85.3±26.3) vs. (89.5±24.2) ml·min -1·1.73 m -2 in AR and non-AR groups respectively.There were no significant differences.1/5-year patient survival rate was both 97% in AR group and both 99.4% in non-AR group; 1/5-year graft survival rate both 90.9% in AR group and was 98.1% and 97.4% in non-AR group.No significant inter-group differences existed in patient and graft survival. Conclusions:Although an occurrence of early AR does not negatively impact graft outcomes, the incidence of AR remains high after pediatric KT.Therefore prompt diagnosis and treatment of AR should be strengthened.

Objective:To investigate the value of artificial intelligence (AI) cytomorphologic analysis system in the cytomorphological diagnosis and therapeutic evaluation of acute myeloid leukemia (AML).Methods:Bone marrow smear samples were collected from 150 patients with newly diagnosed and treated acute myeloid leukemia who were inpatients and outpatients at the Department of Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College from June 1, 2021 to July 31, 2022 for retrospective analysis. Among them, there were 50 patients in the newly diagnosed group, including 28 males and 22 females, with the onset age of 43.5(32.3,58.8)years. There were 100 patients in the post-treatment group, including 36 males and 64 females, with the onset age of 34.5(23.0,47.0)years. The results from cytomorphology expert were used as the gold standard and the Python 3.6.7 was used for analysis to evaluate the accuracy, sensitivity, and specificity of the AI cytomorphologic analysis system for blast cell recognition in AML diagnosis and treatment.Results:The proportion of blasts in AI analysis of 50 samples in the newly diagnosed group was≥20%, which met the diagnostic criteria of AML. AI analysis of blasts had an accuracy of 90.3%, sensitivity of 85.5%, and specificity of 98.0%. The correlation coefficient between AI and the proportion of blasts analyzed by experts was positively correlated( r=0.882, P<0.001). Meanwhile, in the post-treatment group, the sensitivity and specificity of AI analysis of blasts were 89.7% and 99.2%, respectively. The correlation coefficient between AI and the proportion of blasts analyzed by experts was positively correlated( r=0.957, P<0.001). According to AI analysis data, there are 8 samples in this group whose AI efficacy evaluation results on AML are inconsistent with expert analysis. Conclusion:AI cytomorphologic analysis system has high accuracy, sensitivity and specificity for blast cell recognition in AML morphological diagnosis and therapeutic evaluation.