Objective: To evaluate the implementation process of a school-family collaborative "online+offline" tobacco control intervention program in junior high school in Beijing and to explore the execution status, influencing factors and sustainability potential of the intervention, so as to provide evidence for optimizing youth tobacco control strategies. Methods: In November 2024, using the random number table method, four first year junior high school classes were selected from three schools each in Fengtai District, Tongzhou District, and Fangshan District of Beijing. One class served as the control group, while the other three classes were designated as intervention groups (one each for online intervention, offline intervention, and combined online offline intervention). The control group received only conventional education.The online intervention group was engaged in WeChat push interventions, including watching micro videos, viewing promotional materials, participating in online quizzes and mini games; the offline intervention group attended knowledge lectures, played peer games, and participated in offline knowledge competitions; the combined online offline intervention group integrated all the aforementioned online and offline intervention measures. The intervention period was from November 2024 to June 2025, spanning a total of 7 months. Based on the Practical, Robust Implementation and Sustainability Model(PRISM) framework, a qualitative research design was employed to conduct semi structured interviews with 48 participants (12 in each of the intervention groups and 12 organizational staff members) from the Centers for Disease Control and Prevention (CDC) in 3 districts and 3 sampled schools. The interview outlines were designed according to the intervention plan. Data was managed using Nvivo 12.0 software and analyzed following Colaizzi s seven step phenomenological analysis method. Theoretical saturation was assessed using a reserved subset of transcripts. Results: Four core themes were identified in the tobacco control intervention process. Overall fidelity of intervention implementation was largely consistent with the original plan, and students showed strong willingness and positive evaluations toward interactive formats such as knowledge contests and peer games, though occasional breakdowns in school-family communication and blurred boundaries between online and offline components were observed; the participants showed a polarized response in terms of satisfaction and participation, most students and parents recognized the significance of the activity, and some parents observed a reduction in smoking behavior; the implementation of internal tobacco control policies in the school was strict, and the atmosphere was favorable, but there was still room for improvement, such as the scarcity of community tobacco control activities and the difficulty in implementing smoke free units; implementation and sustainability infrastructure were preliminarily established, such as through homeroom teacher supervision and training student assistants to assisted in activities, while the sustainability support system required further refinement. Conclusion The school-family collaborative "online+offline" tobacco control intervention has demonstrated significant positive effects, but further optimization of activity design, enhancement of community reward mechanisms, and standardized training are required to improve the efficacy and sustainability of the intervention.

ObjectiveTo investigate the mechanisms by which Mahuang Lianqiao Chixiaodoutang （MLC） improves obesity-type polycystic ovary syndrome （PCOS） through the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsThirty-six female Sprague-Dawley （SD） rats were randomly divided into a blank control group （Con） and an obesity-type PCOS model preparation group. The model was induced by gavage with letrozole （1 mg·kg^-1） combined with a high-fat diet （HFD）. After model establishment， the obesity-type PCOS model preparation group was further divided into the model group （Mod， normal saline）， metformin group （Met， 0.3 g·kg^-1）， low-dose MLC group （MLC-L， 4.3 g·kg^-1）， medium-dose MLC group （MLC-M， 8.6 g·kg^-1）， and high-dose MLC group （MLC-H， 17.2 g·kg^-1）. Active components of MLC and targets of obesity-type PCOS were screened from databases， a protein-protein interaction （PPI） network was constructed， and gene ontology（GO）and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed. The gut microbiota structure was analyzed based on 16S rRNA sequencing and correlated with network pharmacology pathways. Body weight and estrous cycle were dynamically monitored. Ovarian morphology was observed by hematoxylin-eosin （HE） staining. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL）. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， anti-Müllerian hormone （AMH）， testosterone （T）， and estradiol （E₂）. Western blot was used to detect the protein expression levels of phosphorylated PI3K/PI3K （p-PI3K/PI3K）， phosphorylated Akt/Akt （p-Akt/Akt）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. ResultsNetwork pharmacology screening identified 124 active components of MLC and 408 overlapping targets between the herbal formula and the disease. Core targets such as Akt1 and Bcl-2 were revealed. As indicated by 16S rRNA sequencing， the abundances of Lachnospiraceae， Lachnoclostridium， and Dorea were increased in the MLC groups （P<0.05）， while the abundance of Veillonella was decreased （P<0.05）. KEGG correlation analysis integrating network pharmacology and gut microbiota data showed significant enrichment of the PI3K/Akt signaling pathway. Animal experiments showed that， compared with the Mod group， body weight decreased to normal levels in the Met， MLC-M， and MLC-H groups. The estrous cycle became regular. The number of corpora lutea increased and cystic follicles decreased. Serum levels of T， FSH， and LH/FSH were reduced （P<0.05， P<0.01）， while the E₂ level was increased （P<0.01）. Ovarian cell apoptosis was reduced （P<0.01）， and the protein expression levels of p-PI3K/PI3K， p-Akt/Akt， and Bcl-2 in ovarian tissue were significantly increased， whereas Bax protein expression was significantly decreased （P<0.05， P<0.01）. ConclusionMLC can regulate gut microbiota structure， effectively improve ovarian pathology in rats with obesity-type PCOS， and inhibit ovarian granulosa cell apoptosis. The mechanism may be associated with upregulation of the PI3K/Akt signaling pathway.

ObjectiveTo investigate the mechanisms by which Mahuang Lianqiao Chixiaodoutang （MLC） improves obesity-type polycystic ovary syndrome （PCOS） through the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsThirty-six female Sprague-Dawley （SD） rats were randomly divided into a blank control group （Con） and an obesity-type PCOS model preparation group. The model was induced by gavage with letrozole （1 mg·kg^-1） combined with a high-fat diet （HFD）. After model establishment， the obesity-type PCOS model preparation group was further divided into the model group （Mod， normal saline）， metformin group （Met， 0.3 g·kg^-1）， low-dose MLC group （MLC-L， 4.3 g·kg^-1）， medium-dose MLC group （MLC-M， 8.6 g·kg^-1）， and high-dose MLC group （MLC-H， 17.2 g·kg^-1）. Active components of MLC and targets of obesity-type PCOS were screened from databases， a protein-protein interaction （PPI） network was constructed， and gene ontology（GO）and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed. The gut microbiota structure was analyzed based on 16S rRNA sequencing and correlated with network pharmacology pathways. Body weight and estrous cycle were dynamically monitored. Ovarian morphology was observed by hematoxylin-eosin （HE） staining. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL）. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， anti-Müllerian hormone （AMH）， testosterone （T）， and estradiol （E₂）. Western blot was used to detect the protein expression levels of phosphorylated PI3K/PI3K （p-PI3K/PI3K）， phosphorylated Akt/Akt （p-Akt/Akt）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. ResultsNetwork pharmacology screening identified 124 active components of MLC and 408 overlapping targets between the herbal formula and the disease. Core targets such as Akt1 and Bcl-2 were revealed. As indicated by 16S rRNA sequencing， the abundances of Lachnospiraceae， Lachnoclostridium， and Dorea were increased in the MLC groups （P<0.05）， while the abundance of Veillonella was decreased （P<0.05）. KEGG correlation analysis integrating network pharmacology and gut microbiota data showed significant enrichment of the PI3K/Akt signaling pathway. Animal experiments showed that， compared with the Mod group， body weight decreased to normal levels in the Met， MLC-M， and MLC-H groups. The estrous cycle became regular. The number of corpora lutea increased and cystic follicles decreased. Serum levels of T， FSH， and LH/FSH were reduced （P<0.05， P<0.01）， while the E₂ level was increased （P<0.01）. Ovarian cell apoptosis was reduced （P<0.01）， and the protein expression levels of p-PI3K/PI3K， p-Akt/Akt， and Bcl-2 in ovarian tissue were significantly increased， whereas Bax protein expression was significantly decreased （P<0.05， P<0.01）. ConclusionMLC can regulate gut microbiota structure， effectively improve ovarian pathology in rats with obesity-type PCOS， and inhibit ovarian granulosa cell apoptosis. The mechanism may be associated with upregulation of the PI3K/Akt signaling pathway.

OBJECTIVE: To explore the application value of artificial intelligence (AI)-assisted chromosomal karyotype analysis in the diagnosis of prenatal chromosomal mosaicism. METHODS: A retrospective analysis was conducted on 172 pregnant women who underwent amniocentesis at the Department of Medical Genetics and Prenatal Diagnosis, the Third Affiliated Hospital of Zhengzhou University between January 2019 and December 2024. All cases whose fetuses were diagnosed with chromosomal mosaicism via karyotype analysis and stratified into two groups based on the analytical software employed: the conventional analysis group (n = 70), which utilized Leica analysis software for karyotype image recognition and cell counting; and the AI-assisted analysis group (n = 102), which utilized AI-assisted software for the same procedures. The clinical performance of AI-assisted karyotype analysis in diagnosing chromosomal mosaicism was comprehensively evaluated by comparing the types of mosaic karyotypes, distribution of mosaic ratios, and verification outcomes of different detection modalities between the two groups. This study was approved by the Medical Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (Ethics No.: 2024-406-01). RESULTS: No statistically significant difference was observed in baseline characteristics (maternal age, gestational week, and indications for prenatal diagnosis) between the two groups. Regarding the detection efficacy for numerical and structural mosaicisms, no significant difference was found in the detection of numerical mosaicism. However, the conventional analysis group exhibited a significantly higher detection rate of autosomal structural mosaicism compared to the AI-assisted group (11.43% vs. 0.98%, P < 0.05). Numerical mosaicism cases were further verified using copy number variation sequencing (CNV-seq) and/or fluorescence in situ hybridization (FISH). The AI-assisted group demonstrated a significantly lower inconsistency rate (5.56% vs. 20.41%, P < 0.05) compared to the conventional group. For low-proportion (< 10%) chromosomal mosaicism, the AI-assisted group had a significantly lower detection rate (13.25% vs. 29.69%, P < 0.05). Subsequent validation of low-proportion mosaicism by CNV-seq and/or FISH showed a higher consistency rate in the AI-assisted group (81.82% vs. 54.55%), though the difference did not reach statistical significance (P = 0.360). CONCLUSION For the karyotyping analysis of prenatal chromosomal mosaicism, AI-assisted karyotype analysis shows high accuracy and consistency in identifying numerical chromosomal mosaicism, particularly in reducing the detection of low-proportion (< 10%) mosaicism while improving verification accuracy. AI-assisted analysis can significantly improve the detection accuracy of numerical mosaicism and mitigate the risk of misclassification for low-proportion (< 10%) mosaicism, thereby providing more precise clinical evidence for the prenatal diagnosis of chromosomal mosaicisms.
Humans ; Female ; Mosaicism ; Pregnancy ; Karyotyping/methods* ; Artificial Intelligence ; Prenatal Diagnosis/methods* ; Adult ; Retrospective Studies ; Chromosome Disorders/genetics* ; Amniocentesis

OBJECTIVE To investigate the effect of plasma trough concentration of venetoclax and its influencing factors in patients with acute myeloid leukemia （AML）. METHODS After 5 days of venetoclax administration， venous blood samples were collected from AML patients before the next dose. Plasma trough concentrations of venetoclax were determined using high-performance liquid chromatography-tandem mass spectrometry. Spearman correlation was used to assess the correlations between venetoclax plasma trough concentration and various parameters （including patients’ general information， venetoclax-related indicators， liver function indicators， kidney function indicators， and blood routine indicators）. Multiple linear regression analysis was performed to identify independent factors influencing plasma trough concentration of venetoclax. Using efficacy as dependent variable [complete remission （CR）+partial remission （PR） vs. no remission （NR）]， univariate and multivariate binary Logistic regression analyses were conducted to identify factors affecting efficacy. The receiver operating characteristic （ROC） curve was used to evaluate the predictive value of venetoclax plasma trough concentration for clinical efficacy （assessed as CR）. RESULTS A total of 172 venetoclax plasma trough concentration measurements from 101 patients were included in this study. The median plasma trough concentration of venetoclax was 2.38 （1.18， 3.85） μg/mL； the median sampling time for plasma trough concentration of venetoclax was 10 （7， 15） d； the duration of venetoclax use was （34±12） d. Multiple linear regression analysis showed that alkaline phosphatase （ B ＝14.65， 95%CI： 5.35-23.95， P ＝0.002）， total bilirubin （ B ＝－101.71， 95%CI： －197.16 to －6.25， P ＝0.037）， and white blood cell count （ B ＝－106.84， 95%CI： －187.61 to －26.07， P ＝0.010） were independent factors influencing plasma trough concentration of venetoclax. Due to patient attrition during treatment， 114 venetoclax plasma trough concentration measurements from 69 patients were included for efficacy evaluation. The results showed that 46 patients （66.7%） achieved CR， 11 patients （15.9%） achieved PR， and 12 patients （17.4%） were NR. Multivariate binary Logistic regression analysis showed that age， hemoglobin， venetoclax plasma trough concentration， hematocrit， and mean corpuscular hemoglobin were independent factors affecting patient efficacy （ P ＜0.05）. ROC curve analysis showed that the cut-off value of plasma trough concentration of venetoclax for predicting patient efficacy （assessed as CR） was 1.68 μg/mL （AUC＝0.66， 95%CI： 0.54-0.78， P ＝0.014）. CONCLUSIONS There is considerable inter-individual variability in plasma trough concentration of venetoclax among AML patients. Plasma trough concentration of venetoclax is significantly correlated with alkaline phosphatase， total bilirubin， and white blood cell count. Plasma trough concentration of venetoclax is an independent factor affecting patient’s efficacy， and when the cut-off value for predicting CR is above 1.68 μg/mL， better effects may be achieved.

By reviewing the physical biological research on the activation of acupoint effects by acupuncture， this paper explains the activation mechanism from the perspective of the generation and transmission of mechanical signals caused by acupuncture， and reveals the physical-chemical coupling processes in the acupoint microenvironment. Future research should focus on locally mechanosensitive cells， further exploring how acupuncture mechanical signals trigger dynamic changes in cells and molecules in the acupoints， and the physical-chemical information transduction mechanism， which will provide scientific evidence for the acupoint activation during acupuncture. Related studies will contribute to a deeper understanding of the scientific principles behind acupuncture and promote its clinical application and development.

Objective Exploring the therapeutic mechanism of Yishen Jiangzhuo Granules(YSJZG)on chronic kidney disease(CKD)based on mitochondrial dynamics and apoptosis of renal tubular epithelial cells.Methods The CKD model of rats with 5/6 nephrectomy was adopted and divided into 6 groups according to random number table:sham operation control group,model group,emodin group(500 mg/kg/d),Yishen Jiangzhuo granule low,middle and high dose groups.After 8 weeks of treatment with YSJZG,serum creatinine(SCR)and urea nitrogen(BUN),pathological changes of renal cortex,mitochondrial morphology and ultrastructure were detected,and mitochondrial kinetic protein in renal tubular epithelial cells was detected by immunohistochemistry(Drp1,Fis1)and fusion proteins(Opa1,Mfn1)were detected by Western blot,and apoptotic proteins(CytC,Bax)in cytoplasm and mitochondria were detected by real-time PCR.Results Renal injury:Compared with the model group,YSJZG groups significantly reduced the levels of SCR and BUN,renal tubular degeneration and necrosis,and mitochondrial structural damage in rats.Renal tubule mitochondrial dynamic protein:Compared with the model group,the expression of division proteins Drp1 and Fis1 was downregulated,the expression of fusion proteins Opa1 and Mfn1 was upregulated,and transmission electron microscopy observed that the mitochondrial fragmentation changes were relatively mild.Apoptosis related indicators and mtDNA copy number of renal tubular cells:Compared with the model group,the content of Bax protein in renal tubular epithelial cells of YSJZG groups increased significantly in cytoplasm(P<0.05)and decreased significantly in mitochondria(P<0.05).The content of CytC protein decreased significantly in cytoplasm(P<0.05)and increased significantly in mitochondria(P<0.05).The copy number of mtDNA increased significantly(P<0.05),and the total levels of SMAC,CytC and Bax mRNA decreased significantly(P<0.05).Correlation between mitochondrial dynamic protein and apoptosis in renal tubular cells:Pearson correlation analysis showed that the expression of Drp1 and Fis1 was negatively correlated with the expression of CytC in mitochondria,and positively correlated with the expression of CytC in cytoplasm.The expression levels of fusion proteins Opa1 and Mfn1 showed a significant positive correlation with CytC expression in mitochondria,and a significant negative correlation with CytC expression in cytoplasm.Conclusion YSJZG can significantly delay the progression of CKD,and its mechanism may be achieved by regulating mitochondrial dynamics of renal tubular epithelial cells,thereby inhibiting endogenous cell apoptosis pathway.

Objective:To investigate the effect of short-term intensive insulin pump therapy on blood glucose control and renal function in type 2 diabetes mellitus (T2DM) patients with diabetic kidney disease (DKD).Methods:The clinical data of 360 T2DM patients with DKD in Shanxi Bethune Hospital from January 2022 to October 2024 were retrospectively analyzed. These patients were divided into an observation group ( n=192; treated with continuous subcutaneous insulin infusion) and a control group ( n=168; treated with conventional hypoglycemic therapy) according to the different treatment modalities; subsequently, 103 pairs of patients entered final analysis by using the propensity score matching method. The differences in glycemic control and improvement of renal function were compared between these two groups. Results:Before the treatment, the blood glucose-, blood glucose fluctuation-, and kidney function-related indicators showed no significant differences between these two groups (all P>0.05). After the treatment, fasting blood glucose, two-hour postprandial blood glucose, and average blood glucose significantly decreased in both groups and were significantly lower in the observation group than in the control group (all P<0.05). In addition, the amplitude of postprandial blood glucose fluctuation, standard deviation of intraday multi-point blood glucose, and difference between the maximum and minimum intraday blood glucose values significantly declined after treatment and were also significantly lower in the observation group than in the control group (all P<0.05). The observation group had a significantly higher total glycemic control rate and a significantly lowr incidence of hypoglycemia (both P<0.05). Finally, the 24-hour urine protein level, serum creatinine level, and urine albumin/creatinine ratio of the observation group significantly dropped after the treatment, and these results were significantly lower than those in the observation group (all P<0.05). Conclusions:Intensive insulin pump therapy benefits T2DM patients with DKD by improving glycemic control and enhancing renal function.

Objective To systematically evaluate the published models in prediction of the risk of lung infections in elderly patients with hip fracture so as to provide a guidance for medical workers in selection or development of suitable risk prediction models.Methods Relevant studies were searched from databases including CNKI,Wanfang Data,VIP,SinoMed,PubMed,Web of Science,Cochrane Library,Embase and CINAHL,from the inception to 31st January,2024.Data were extracted from the selected literature and a bias assessment tool of risk predictive model was used to evaluate the risk of bias and applicability of the included literature.Results A total of 1,035 articles were retrieved,of which seven studies involving 13 predictive models were finally included after screening.The sample sizes ranged from 305 to 2,669 cases and lung infection rates ranged from 5.40%to 20.02%.The repeatedly reported predictors included age,gender,chronic obstructive pulmonary disease,hypoproteinaemia,American Society of Anesthesiologists(ASA)Physical Status Classification and white blood cell count.In the 13 models constructed,the reported area under the curve(AUC)of subjects'job characteristics ranged from 0.667 to 0.996.Five out of seven studies had good overall applicability,but all with high risk of bias.Conclusion The predictive models for lung infections in elderly patients with hip fracture are still in the stage of development.Although the predictive models show some predictive performance,however they are still deficient,and all studies have been found with a high risk in bias.

Objective To establish a pediatric rare disease catalog,analyze the current status of therapeutic drugs and their coverage of the medical insurance in China,and propose strategies to enhance drug accessibility.Methods Pediatric rare diseases were identified from China's two national rare disease catalogs combined with the EU Orphanet database,US FDA orphan drug database,and the Diagnosis and Treatment Standards for Rare Diseases in Children.We created a specialized drug catalog for pediatric rare diseases,then analyzed drug types(ATC classification),pricing,and medical insurance coverage using descriptive statistics based on Yaozhi.com drug bidding prices and the 2024 Drug of List National Basic Medical Insurance(NBMIDL).Drug affordability was assessed through annual treatment cost calculations.Results The national catalogs included 151 pediatric rare diseases(72.95%of listed conditions),spanning 13 disease systems.We identified 94 dedicated orphan drugs(by generic name)for these conditions,among which 43 were approved internationally but unavailable in China.The average unit price per package was 6 113.53 yuan.Overall NBMIDL coverage was 68.83%,but drugs priced above 7 000 yuan per unit had only 7.69%coverage.Annual treatment costs reached 4.54 million for laronidase(mucopolysaccharidosis).Conclusions Critical gaps persist in China's pediatric rare disease treatment landscape,including catalog deficiencies,inadequate coverage for high-cost drugs and insufficient domestic innovation.It is recommended to establish a list of orphan drugs for pediatric rare diseases,accelerate the import of foreign drugs and the local innovative drugs through policy incentives,optimizing medical insurance reimbursement mechanisms for pediatric rare disease drugs to comprehensively improve therapeutic accessibility.