ObjectiveTo prepare a recombinant PETase with a dual-catalytic-triad and to evaluate its efficiency in the biodegradation of polyethylene terephthalate （PET）. MethodsBased on the crystal structure of wild-type PETase， point mutations （T88H/L117D） were introduced via site-directed mutagenesis. The recombinant protein was prepared using prokaryotic expression and chromatography purification techniques. The enzymatic hydrolysis of the mutant PETase was assessed by relatively quantifying the products mono （2-hydroxyethyl） terephthalate （MHET） and terephthalic acid （TPA）. ResultsBoth wild-type and mutant PETases accumulated as inclusion bodies， accounting for approximately 20% of the total bacterial protein. After solubilization in urea， the proteins were eluted at 300 mmol/L imidazole during affinity chromatography purification， with concentrations of 1.824 and 1.833 mg/mL and purities of 83.11% and 84.32%， respectively. Subsequent anion-exchange chromatography yielded highly pure enzymes in the 200 mmol/L NaCl fraction： 2.776 mg/mL （96.86% purity） for the wild type and 1.967 mg/mL （95.13% purity） for the mutant. Following refolding， the final concentrations were 0.484 mg/mL for the wild type and 0.991 mg/mL for the mutant. Hydrolysis assays revealed that the mutant released MHET and TPA at （237.67±17.00）% and （197.33±12.01）% of the wild-type levels， respectively. ConclusionThe T88H/L117D dual-catalytic-triad PETase is successfully prepared and it significantly enhanced PET-degrading activity， thus， it′s a promising biocatalyst for PET bioremediation.

Objective: To analyze the intervention effects of moderate to vigorous classroom physical exercise on psychological sub health among Uyghur junior high school students, providing reference for mental health promotion and intervention in the ethnic group. Methods: From April to July 2022, 647 eighth grade Uighur junior high school students from two middle schools in the Kashgar Prefecture, Xinjiang, were selected using a random cluster digital sampling method. They were randomly assigned to a control group ( n =326) and an intervention group ( n =321). While adhering to the regular curriculum, the intervention group additionally received 12 week, 36 session (every Monday, Wednesday, and Friday afternoon) moderate to vigorous classroom physical exercise intervention (45 minutes per session, including warm up, main exercises, and cool down activities). Self administered psychological sub health was completed through Brief Instrument on Psychological Health of Youths before and after intervention, and the data were analyzed using covariance analysis. Results: Before intervention, there were no statistically significant differences between the control and intervention groups in the total scores for psychological sub health or in the scores for the three dimensions including emotional problems, conduct problems, and social adaptation difficulties ( t =0.76, 0.40, 0.01, 0.94 , all P >0.05). After intervention, the scores of the intervention group s junior high school students on the emotional problems, conduct problems, and social adaptation difficulties dimensions decreased by 0.50, 0.28, and 0.18, respectively, compared with the control group, and all differences were statistically significant ( t =3.35, 3.36, 2.07, all P <0.05). The main effect of the psychological sub health category was statistically significant ( F =60.66, P <0.01, partial η 2=0.09). Compared with the control group, the psychological sub health scores of junior high school students in the intervention group decreased by 0.96 ( t =3.42, P < 0.05 ). Conclusion The 12 week moderate to vigorous classroom physical exercise intervention has a positive effect on the psychological sub health of Uyghur junior high school students.

A growing body of research points out that gut microbiota plays a key role in tumor immunotherapy. By optimizing the composition of intestinal microbiota, it is possible to effectively improve immunotherapy resistance and enhance its therapeutic effect. This article comprehensively analyzes the mechanism of intestinal microbiota influencing tumor immunotherapy resistance, expounds the current strategies for targeted regulation of intestinal microbiota, such as traditional Chinese medicine and plant components, fecal microbiota transplantation, probiotics, prebiotics and dietary therapy, and explores the potential mechanisms of these strategies to improve patients' resistance to tumor immunotherapy. At the same time, the article also briefly discusses the prospects and challenges of targeting intestinal microbiota to improve tumor immunotherapy resistance, which provides a reference for related research to help the strategy research of reversing tumor immunotherapy resistance.

Extremely unbalanced data refers to datasets with independent or dependent variables showing severe imbalances in proportions, which might lead to deviation of classical test statistics from theoretical distribution and difficulties in controlling type Ⅰ error. The increased availability of genome-wide resources from large population cohorts has highlighted the growing demand for efficient and accurate statistical methods for the process of extremely unbalanced data to improve the development of genetic statistical methods. This paper introduces two widely used correction methods in current genome-wide association study for extremely unbalanced data, i.e. Firth correction and saddle point approximation, describes their effectiveness in controlling type Ⅰ errors confirmed by simulation experiments, finally, and summarizes the commonly used software for extremely unbalanced genomic data to provide theoretical reference and suggestion for its application for the statistical analysis on extremely unbalanced data in future.

Objective:To investigate the application of time series models in forecasting pre-hospital emergency ambulance trips in Handan City and develop the LPro ensemble model for improved prediction accuracy to support emergency resource allocation.Methods:Pre-hospital emergency data from Handan Emergency Medical Command Center (2019-2023) were retrospectively analyzed. From 324 799 original records, 289 949 valid records were included after cleaning. The training set (2019-2022: 215 918 records) included 35 527 records in 2019, 52 015 in 2020, 61 836 in 2021, and 66 540 in 2022. The validation set (2023) contained 74 031 records. ARIMA, linear trend seasonal, exponential smoothing, and Prophet models were fitted to the training set. The LPro ensemble model was constructed using MAPE-based weighting (linear trend seasonal model: 0.38, Prophet: 0.62). Performance metrics included MAPE, RMSE, MAE, and R 2. Results:Data showed annual growth (compound annual growth rate 23.27%) and seasonal patterns (October peaks, February troughs). Ambulance dispatches increased annually with monthly cyclical patterns. For 2023 validation predictions: ARIMA (MAPE 8.76%, RMSE 619, MAE 491, R 2 0.4563), linear trend seasonal (MAPE 9.83%, RMSE 671, MAE 545, R 2 0.3608), Prophet (MAPE 8.43%, RMSE 562, MAE 503, R 2 0.5513), exponential smoothing (MAPE 8.08%, RMSE 643, MAE 410, R 2 0.4124). LPro model showed superior performance (MAPE 7.05%, RMSE 491, MAE 393, R 2 0.6570), with 16.37% lower MAPE, 12.63% lower RMSE, 21.87% lower MAE, and 19.17% higher R 2 versus Prophet. Conclusion:The LPro ensemble model substantially enhances prediction accuracy and reliability, offering scientific support for emergency resource optimization and dispatch scheduling in Handan City.

This article focuses on the application of artificial intelligence in clinical hematology laboratory teaching. By analyzing the current situation of clinical hematology test teaching and combining the advantages of artificial intelligence technology, this paper explores its application prospects in clinical hematology laboratory teaching from multiple perspectives, such as case library construction, atlas resource library construction, virtual simulation training, auxiliary teaching, and clinical thinking training, and analyzes the possible problems of artificial intelligence in teaching practice.

This study aims to investigate the effects of Pulsatilla powder(PP)on colonic intestinal flora and tryptophan metabolism in piglets with diarrhea.Twenty-four weaned piglets were ran-domly divided into the normal control group,model group,self-healing group,and PP group.The model of piglet diarrhea was established by the compound factor of external evil+internal injury+epi-demic virus,and treated with PP.During the modeling period,the body weight,mental status and fecal patterns of piglets were monitored daily.After the experiment,the colon tissues were collect-ed for histopathological observation,and the inflammatory factors IL-1β and IL-6 in the colon tis-sue was detected by ELISA,16S rRNA was used to analyze colonic intestinal flora and RT-qPCR was used to determine the expression of genes related to tryptophan metabolism in the colon.The results showed that,compared with the model group,PP significantly improved the pathological status of the colon in piglets with diarrhea,with elevated body mass and a significant increase in goblet cells(P＜0.05);and significantly reduced the levels of IL-1β and IL-6 in the colon of diar-rhea piglets(P＜0.05).The results of intestinal flora showed that PP increased the abundance of Firmicutes(P＜0.01),Spirochaeota(P＜0.01)and Lactobacillus(P＜0.05),reduced the abun-dance of Bacteroidota(P＜0.05)、Prevotella_NK3B31_group(P＜0.05)and Clostridium_sensu_stricto 1(P＜0.01).Meanwhile,PP significantly reduced the expression level of TPH1 mRNA(P＜0.05),increased the expression levels of AhR(P＜0.05)and IL-22 mRNA in the co-lon of diarrhea piglets.These results indicates that PP may alleviate diarrhea in piglets by regula-ting colonic intestinal flora and genes related to intestinal tryptophan metabolism.This study pro-vides data support for the subsequent investigation of piglet diarrhea prevention and treatment.

OBJECTIVE: To investigate the Wnt signaling pathway and miRNAs mechanism of extracts of Plastrum Testudinis (PT) in the treatment of osteoporosis (OP). METHODS: Thirty female Sprague Dawley rats were randomly divided into 5 groups by random number table method, including sham group, ovariectomized group (OVX), ovariectomized groups treated with high-, medium-, and low-dose PT (160, 80, 40 mg/kg per day, respectively), with 6 rats in each group. Except for the sham group, the other rats underwent bilateral ovariectomy to simulate OP and received PT by oral gavage for 10 consecutive weeks. After treatment, bone mineral density was measured by dual-energy X-ray absorptiometry; bone microstructure was analyzed by micro-computed tomography and hematoxylin and eosin staining; and the expressions of osteogenic differentiation-related factors were detected by immunochemistry, Western blot, and quantitative polymerase chain reaction. In addition, Dickkopf-1 (Dkk-1) was used to inhibit the Wnt signaling pathway in bone marrow mesenchymal stem cells (BMSCs) and miRNA overexpression was used to evaluate the effect of miR-214 on the osteogenic differentiation of BMSCs. Subsequently, PT extract was used to rescue the effects of Dkk-1 and miR-214, and its impacts on the osteogenic differentiation-related factors of BMSCs were evaluated. RESULTS: PT-M and PT-L significantly reduced the weight gain in OVX rats (P<0.05). PT also regulated the bone mass and bone microarchitecture of the femur in OVX rats, and increased the expressions of bone formation-related factors including alkaline phosphatase, bone morphogenetic protein type 2, collagen type I alpha 1, and runt-related transcription factor 2 when compared with the OVX group (P<0.05 or P<0.01). Meanwhile, different doses of PT significantly rescued the inhibition of Wnt signaling pathway-related factors in OVX rats, and increased the mRNA or protein expressions of Wnt3a, β-catenin, glycogen synthase kinase-3β, and low-density lipoprotein receptor-related protein 5 (P<0.05 or P<0.01). PT stimulated the osteogenic differentiation of BMSCs inhibited by Dkk-1 and activated the Wnt signaling pathway. In addition, the expression of miR-214 was decreased in OVX rats (P<0.01), and it was negatively correlated with the osteogenic differentiation of BMSCs (P<0.01). MiR-214 mimic inhibited Wnt signaling pathway in BMSCs (P<0.05 or P<0.01). Conversely, PT effectively counteracted the effect of miR-214 mimic, thereby activating the Wnt signaling pathway and stimulating osteogenic differentiation in BMSCs (P<0.05 or P<0.01). CONCLUSION PT stimulates bone formation in OVX rats through β-catenin-mediated Wnt signaling pathway, which may be related to inhibiting miR-214 in BMSCs.
Animals ; MicroRNAs/genetics* ; Female ; Rats, Sprague-Dawley ; Wnt Signaling Pathway/genetics* ; Osteogenesis/genetics* ; Mesenchymal Stem Cells/cytology* ; Cell Differentiation/drug effects* ; Bone Density/drug effects* ; Ovariectomy ; Osteoporosis/drug therapy* ; beta Catenin/metabolism* ; Rats ; Intercellular Signaling Peptides and Proteins/metabolism* ; Drugs, Chinese Herbal/pharmacology*

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Blood cell morphology examination is the foundation and important means of diagnosing blood diseases. Artificial intelligence (AI) assisted blood cell morphology examination compensates for the shortcomings of artificial microscopy in the early detection and diagnosis of blood diseases,improves diagnostic efficiency,accuracy,and sensitivity,greatly reduces labor and time costs,significantly improves medical quality,and promotes personalized health care. Traditional manual microscopy is still the standard method in clinical practice in China. In order to encourage the improvement and development of intelligence-assisted blood cell morphology examination,this article discusses the current situation and characteristics of intelligence-assisted blood cell morphology examination. Considering the standardization,database,and ethical issues of automated blood cell morphology analysis,some challenges and limitations are summarized and analyzed,which can support the diagnosis of blood diseases and assist researchers and clinical doctors in the future.