BackgroundIndividuals with schizophrenia are prone to higher rates of hospital readmission， presenting significant clinical challenges and imposing considerable social burdens within the mental health domain. In recent years， various risk prediction models have been developed to forecast readmission in patients with schizophrenia and support clinical decision-making， but their predictive performance and clinical applicability require comprehensive evaluation. ObjectiveTo systematically evaluate the risk prediction models for readmission in patients with schizophrenia， so as to provide insights for the development of high-performance and highly applicable readmission risk prediction models for patients with schizophrenia. MethodsOn July 5， 2025， a systematic literature search was conducted across multiple electronic databases， including PubMed， Embase， Cochrane Library， Web of Science， CINAHL， CNKI， China Biomedical Literature Database， Wanfang Database， and VIP Database， to identify risk prediction models for readmission in patients with schizophrenia. The search period was from the establishment of the databases to July 1， 2025. Two researchers independently performed literature screening， data extraction， risk of bias assessment， and applicability assessment. ResultsA total of 9 studies were included in this review， encompassing 18 risk prediction models for readmission in patients with schizophrenia. Among them， 4 models reported the area under the receiver operating characteristic （ROC） curve （AUC）， ranging from 0.734 to 0.820， 16 models provided AUC values of 0.642–0.879 for internal validation， and 1 model demonstrated an AUC of 0.841 for external validation. Key predictors included disease duration and the concomitant therapy of antipsychotic medications. The risk of bias was assessed as "high" in all included studies. ConclusionThe development of risk prediction models for readmission in patients with schizophrenia remains in an exploratory stage. Although the model exhibits favorable predictive performance， it is associated with a high risk of bias and insufficient performance evaluation.

ObjectiveTo develop a novel clinical predictive model for metabolic dysfunction-associated fatty liver disease （MAFLD） based on metabolic markers and anthropometric indicators， and to provide a more effective tool for the early screening and intervention of MAFLD. MethodsA retrospective analysis was performed for 2 824 individuals who underwent abdominal color Doppler ultrasound at Health Examination Center of The First Hospital of Lanzhou University from January 1， 2024 to January 1， 2025， and at a ratio of 7∶3， they were randomly divided into training set with 1 976 patients and validation set with 848 patients. Clinical data， serological markers， and abdominal ultrasound results were collected from all patients， and triglyceride-glucose （TyG） index， triglyceride-to-high-density lipoprotein cholesterol （TG/HDL-C） ratio， and anthropometric indicators were calculated. The independent samples t-test was used for comparison of normally distributed or approximately normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of continuous data with skewed distribution between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. The multivariate logistic regression analysis was used to identify independent predictive factors for MAFLD and intermediate- to high-risk MAFLD. Five risk prediction models were established for MAFLD based on the independent influencing factors， and a nomogram was plotted. The receiver operating characteristic （ROC） curve was plotted to assess model performance， and the area under the ROC curve （AUC） was calculated. The calibration curve was used to evaluate the predictive accuracy of the models， and decision curve analysis was used to assess the clinical practicability of the models. These models were then compared with traditional models. ResultsAmong the 1 976 individuals in the training set， 937 （47.42%） were diagnosed with MAFLD， and 423 （21.41%） were diagnosed with intermediate- to high-risk MAFLD； among the 848 individuals in the validation set， 406 （47.88%） were diagnosed with MAFLD. The multivariate logistic regression analysis showed that male sex （odds ratio ［OR］=0.23， 95% confidence interval ［CI］： 0.13 — 0.39， P<0.05）， waist circumference （OR=1.11， 95%CI： 1.06 — 1.17， P<0.05）， alanine aminotransferase （ALT） >40 U/L （OR=2.24， 95%CI： 1.44 — 3.51， P<0.05）， high-density lipoprotein cholesterol （HDL-C） （OR=0.07， 95%CI： 0.04 — 0.15， P<0.05）， TyG index （OR=8.27， 95%CI： 5.09 — 13.44， P<0.05）， TG/HDL-C ratio （OR=0.84， 95%CI： 0.71 — 0.99， P<0.05）， A Body Shape Index （ABSI） （OR=0.45， 95%CI： 0.39 — 0.52， P<0.05）， and body roundness index （BRI） （OR=2.31， 95%CI： 1.50 — 3.55， P<0.05） were independent influencing factors for MAFLD， and male sex （OR=0.17， 95%CI： 0.10 — 0.31， P<0.05）， age （OR=1.09， 95%CI： 1.07 — 1.11， P<0.05）， hemoglobin （OR=0.98， 95%CI： 0.97 — 0.98， P<0.05）， platelet count （OR=0.81， 95%CI： 0.70 — 0.93， P<0.05）， fasting blood glucose （OR=0.80， 95%CI： 0.71 — 0.89， P<0.05）， triglycerides （OR=0.14， 95%CI： 0.07 — 0.29， P<0.05）， TG/HDL-C ratio （OR=0.78， 95%CI： 0.67 — 0.91， P<0.05）， TyG index （OR=5.26， 95%CI： 3.32 — 8.33）， waist circumference （OR=2.50， 95%CI： 1.72 — 3.61， P<0.05）， ABSI （OR=0.58， 95%CI： 0.51 — 0.66， P<0.05）， and BRI （OR=0.01， 95%CI： 0.00 — 0.21， P<0.05） were independent influencing factors for intermediate- to high-risk MAFLD. Among the five models established， model 5 （incorporating sex， ALT elevation， HDL-C， TyG index， TG/HDL-C ratio， waist circumference， and ABSI） had the best performance， with an AUC of 0.917 （95%CI： 0.905 — 0.929） in the training set and 0.911 （95%CI： 0.892 — 0.930） in the validation set. The calibration curve showed that model 5 had good predictive accuracy， and the decision curve analysis confirmed its clinical practicability. ConclusionThe predictive model for MAFLD constructed based on metabolic markers and anthropometric indicators has good discriminatory ability and can be used to assess the risk of MAFLD. In addition， this study shows that waist circumference， TyG index， TG/HDL-C ratio， ABSI， and BRI are independently associated with intermediate- to high-risk MAFLD， but further studies are needed to confirm their value in predicting liver fibrosis progression.

Objective To explore the characteristics and correlation between perivascular spaces (PVS) and diffusion tensor image analysis along perivascular spaces (DTI-ALPS) index in patients with amnestic mild cognitive impairment (aMCI). Methods A retrospective study was conducted on a total of 118 participants, including cognitive normal (CN) healthy controls and aMCI patients, recruited from the Department of Neurology, Zhongshan Hospital, Fudan University from September 2020 to September 2022. All participants underwent structural magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI). An automatic segmentation algorithm was used to quantify PVS metrics in the brain, and DTI-ALPS index was calculated based on DTI. Differences in DTI-ALPS index and PVS metrics between the CN and aMCI groups were compared. Multivariate logistic regression was used to identify independent factors influencing aMCI. Correlation analysis was performed to assess relationships among DTI-ALPS index, PVS metrics, and cognitive scores. Results A total of 80 CN healthy controls and 38 aMCI patients were included. The DTI-ALPS index was significantly lower in the aMCI group compared with the CN group (1.28±0.18 vs 1.37±0.21, P＝0.018), while differences in PVS metrics between groups were not statistically significant. Multivariate logistic regression analysis indicated that DTI-ALPS index was an independent factor affecting aMCI (OR＝0.097, 95%CI 0.011–0.833, P＝0.033). Correlation analysis revealed a positive relationship between DTI-ALPS index and MMSE score (r＝0.210, P＝0.023) as well as PVS length in the centrum semiovale (r＝0.216, P＝0.019). Conclusions The DTI-ALPS index may serve as an imaging biomarker for identifying early cognitive impairment, and patients with aMCI exhibit abnormal DTI-ALPS indices, suggesting that brain glymphatic system dysfunction may occur prior to morphological changes.

In order to explore the role of signal transducer and activator of transcription 3(STAT3)in the infection process of porcine hemagglutinating encephalomyelitis virus(PHEV),Western blot,qRT-PCR and indirect immunofluorescence experiments were used to detect the phosphoryla-tion level and subcellular localization changes of STAT3 after PHEV infection.The replication of PHEV were examined in cells with STAT3 knockdown or overexpression,respectively.The results showed the phosphorylation level of STAT3 at tyrosine 705 was significantly increased after PHEV infection,and the expression of STAT3 in the nucleus increased.In addition,STAT3 knock-down in cells can significantly inhibit PHEV replication.The above results further reveal the path-ogenic mechanism of PHEV and provide a theoretical basis for the research of anti-PHEV drugs.

The SVA and different serotypes of VSV(VSNJV and VSIV)are susceptible to infect pigs and cause blister injuries to the lips and hoof of pigs.The clinical symptoms of diseases caused by these viruses are very similar,which is easy to cause misdiagnosis.Therefore,a multiplex nano-PCR method was developed for the simultaneous defection of VSV,VSNJV and VSIV.In this stud-y,three pairs of specific primers were designed according to the SVA-P gene,VSNJV-N gene and VSIV-N gene.The optimal annealing temperature and optimal primer concentration were tested,and the reaction system and conditions were optimized.We have developed a novel,rapid and sensitive multiple nano-PCR detection method for simultaneous detection of SVA,VSNJV and VSIV,which was developed by using nano-metal materials.The specific test results showed that the method could specifically amplify the target genes of SVA,VSNJV and VSIV,with no cross-reactivity to PRV,ASFV,PCV2 and PHEV.The sensitivity test results showed that the minimum nucleic acid detection of the method was 10 copies/μL,which sensitivity was great.In addition,the optimal primers showed good reactivity and stability to different batches of enzymes and plasmids.There were 7 among 50 of diseased pig samples were SVA positive by multiple nano-PCR detec-tion method,and 5 out of 50 of diseased pig samples were SVA positive by ordinary single PCR method.Moreover,no VSNJV and VSIV were detected by the two methods.In conclusion,this es-tablished multiple nano-PCR detection method has higher specificity and sensitivity in the detec-tion of SVA,VSNJV and VSIV.And this study could provide technical support for the rapid differ-ential diagnosis,prevention and control of swine viral vesicular diseases in clinical settings.

Immune suppression in the tumor microenvironment (TME) is closely related to abnormal glycolysis. Tumor cells gain metabolic advantages and suppress immune responses through the "Warburg effect". Traditional Chinese medicine (TCM) has been shown to regulate key glycolysis enzymes (such as HK2 and PKM2), metabolic signaling pathways (such as PI3K/AKT/mTOR, HIF-1α) and non-coding RNAs at multiple targets, thus synergistically inhibiting lactate accumulation, improving vascular abnormalities, and relieving metabolic inhibition of immune cells. Studies have shown that TCM monomers and formulas can promote immune cell infiltration and functions, improve metabolic microenvironment, and with the assistance by the nano-delivery system, enhance the precision of treatment. However, the dynamic mechanism of the interaction between TCM-regulated glycolysis and TME has not been fully elucidated, for which single-cell sequencing and other technologies provide important technical support to facilitate in-depth analysis and clinical translational research. Future studies should be focused on the synergistic strategy of "metabolic reprogramming-immune activation" to provide new insights into the mechanisms of tumor immunotherapy.
Humans ; Tumor Microenvironment/immunology* ; Glycolysis/drug effects* ; Neoplasms/drug therapy* ; Medicine, Chinese Traditional ; Signal Transduction ; Drugs, Chinese Herbal/pharmacology*

The SVA and different serotypes of VSV(VSNJV and VSIV)are susceptible to infect pigs and cause blister injuries to the lips and hoof of pigs.The clinical symptoms of diseases caused by these viruses are very similar,which is easy to cause misdiagnosis.Therefore,a multiplex nano-PCR method was developed for the simultaneous defection of VSV,VSNJV and VSIV.In this stud-y,three pairs of specific primers were designed according to the SVA-P gene,VSNJV-N gene and VSIV-N gene.The optimal annealing temperature and optimal primer concentration were tested,and the reaction system and conditions were optimized.We have developed a novel,rapid and sensitive multiple nano-PCR detection method for simultaneous detection of SVA,VSNJV and VSIV,which was developed by using nano-metal materials.The specific test results showed that the method could specifically amplify the target genes of SVA,VSNJV and VSIV,with no cross-reactivity to PRV,ASFV,PCV2 and PHEV.The sensitivity test results showed that the minimum nucleic acid detection of the method was 10 copies/μL,which sensitivity was great.In addition,the optimal primers showed good reactivity and stability to different batches of enzymes and plasmids.There were 7 among 50 of diseased pig samples were SVA positive by multiple nano-PCR detec-tion method,and 5 out of 50 of diseased pig samples were SVA positive by ordinary single PCR method.Moreover,no VSNJV and VSIV were detected by the two methods.In conclusion,this es-tablished multiple nano-PCR detection method has higher specificity and sensitivity in the detec-tion of SVA,VSNJV and VSIV.And this study could provide technical support for the rapid differ-ential diagnosis,prevention and control of swine viral vesicular diseases in clinical settings.

In order to explore the role of signal transducer and activator of transcription 3(STAT3)in the infection process of porcine hemagglutinating encephalomyelitis virus(PHEV),Western blot,qRT-PCR and indirect immunofluorescence experiments were used to detect the phosphoryla-tion level and subcellular localization changes of STAT3 after PHEV infection.The replication of PHEV were examined in cells with STAT3 knockdown or overexpression,respectively.The results showed the phosphorylation level of STAT3 at tyrosine 705 was significantly increased after PHEV infection,and the expression of STAT3 in the nucleus increased.In addition,STAT3 knock-down in cells can significantly inhibit PHEV replication.The above results further reveal the path-ogenic mechanism of PHEV and provide a theoretical basis for the research of anti-PHEV drugs.

Objective:To investigate the clinical characteristics and prognostic factors of extracranial malignant rhabdoid tumors (eMRTs) in children.Methods:In this retrospective case series study, a retrospective analysis was conducted on clinical data of 21 eMRT patients admitted to Children′s Hospital of Nanjing Medical University from April 2018 to January 2023 and followed up until October 30, 2023.Patients were grouped according to their gender, age, tumor origin site, clinical staging, initial lactate dehydrogenase (LDH) level, extent of tumor resection, chemotherapy regimen, and radiotherapy.The Kaplan-Meier method was used to calculate the 2-year progression-free survival rate (PFS) and overall survival rate (OS) of the patients, and the Cox regression model was used to analyze the prognostic factors.Results:Among the 21 patients with eMRTs, there were 7 males and 14 females, with the age of onset of 24 (3-138) months.Immunohistochemistry showed that all tumor tissues of the patients did not secrete integrase interactor 1 (INI-1).Among them, 13 cases originated from the kidney, and 8 cases originated from extrarenal non-central sites.At the time of diagnosis, there were 4 cases in clinical stages Ⅰ-Ⅱ, 17 cases in stage Ⅲ-Ⅳ.Thirteen patients underwent complete tumor resection surgery, 7 underwent partial resection, and 1 only underwent biopsy.Among the 13 cases of renal rhabdoid tumors, 8 cases were treated with the AVDC (Epirubicin, Vincristine, Actinomycin D, Cyclophosphamide)/ICE (Ifosfamide, Carboplatin, Etoposide) regimen, and 5 cases were treated with the protocol for nephroblastoma; among the 8 cases of extrarenal non-central rhabdoid tumors, 5 cases were treated with the AVDC/ICE regimen, and 3 cases were treated with the commonly used protocol for soft tissue sarcoma.Thirteen patients received radiotherapy.One patient received consolidation therapy with autologous stem cell transplantation following chemotherapy and radiotherapy.As of October 2023, there were 14 survivors and 7 deaths.The overall 2-year PFS and OS were 56%(95% CI: 35.7%-88.5%) and 62%(95% CI: 43.2%-89.4%), respectively.Among the patients who received the AVDC/ICE alternating chemotherapy regimen, the 2-year PFS and OS were 73%(95% CI: 47.0%-100.0%) and 79% (95% CI: 56.4%-100.0%), respectively.Univariate Cox regression analysis showed that complete tumor resection, the AVDC/ICE alternating chemotherapy, and radiotherapy were associated with a better prognosis in children (all P≤0.05).Multivariate Cox regression analysis showed that whether to receive radiotherapy was an independent risk factor affecting the overall survival in children. Conclusions:eMRTs are more common in infants and young children, with high malignancy and invasiveness.There is currently no standard treatment.Complete tumor resection combined with the AVDC/ICE alternating chemotherapy and radiotherapy may improve the prognosis of children with eMRTs.

In order to standardize the clinical diagnosis and treatment of upper airway cough syndrome (UACS) for children in China, Dongzhimen Hospital of Beijing University of Chinese Medicine and Affiliated Hospital of Liaoning University of Traditional Chinese Medicine initiated the development of this Traditional Chinese Medicine Diagnosis and Treatment Guidelines for Children with Upper Airway cough Syndrome based on evidence-based medical evidence. This guideline will process registration, write a plan, and develop relevant processes and writing norms, develop and publish official documents. This plan mainly introduces the scope of the guidelines, the purpose and significance, the composition of the guidelines working group, the management of conflicts of interest, the collection, selection and determination of clinical problems, the retrieval, screening and rating of evidence, and the consensus of recommendations. Registration information: This study has been registered in the international practice guidelines registry platform with the registration code of PREPARE-2023CN087.