Objective: To explore the intervention effects of different exercise modalities on executive function in school aged children, providing references for formulating exercise prescriptions to promote school aged children executive function. Methods: A systematic literature search was conducted using PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang, VIP and CBM to identify studies on the effects of exercises on executive function in school aged children. The search period spanned from the database inception to August 2025. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias of the included studies. Network Meta analysis was performed using Stata 16.0. Results: A total of 51 studies involving 5 710 school aged children and seven modalities of exercises(control group,small ball sports,large ball sports,aerobic exercise,combined exercise,sport game,gymnastic and dance sports) were finally included. Network Meta analysis showed that, in terms of inhibitory control development of school aged children, small ball sports ( SMD =-0.98,95% CI =-1.32 to -0.64 ), large ball sports ( SMD =-0.64,95% CI =-0.91 to -0.36), and mixed sports ( SMD =-0.26,95% CI =-0.50 to -0.02]) were more effective than the control group; in terms of working memory, largeball sports ( SMD =-1.26,95% CI =-1.88 to -0.65) and small ball sports ( SMD =-0.91,95% CI =-1.64 to -0.19) were superior to the control group; in terms of improving cognitive flexibility, large ball sports ( SMD =-1.02,95% CI =-1.28 to -0.76), gymnastics and dance sports ( SMD =-0.80,95% CI =-1.21 to -0.40), and small ball sports ( SMD =-0.75,95% CI =-1.15 to -0.36) were more effective than the control group (all P <0.05). Surface under cumulative ranking curve(SUCRA) showed that small ball sports had the highest value (SUCRA=98.9%) in improving inhibitory control, while large ball sports achieved the highest score(SUCRA=92.6%) in enhancing working memory, and large ball sports also had the highest value(SUCRA=94.7%) in promoting cognitive flexibility. Conclusions For developing inhibitory control in school aged children, small ball sports are recommended as a priority. For enhancing working memory and cognitive flexibility, large ball sports are recommended.

Background Regulatory interactions between microRNAs (miRNAs) and messenger RNAs (mRNAs) are involved in the progression of pulmonary fibrosis, which can either promote or inhibit the development of this disease. Objective To explore the miRNA-mRNA regulatory network during the progression of silica (SiO₂)-induced pulmonary fibrosis in mice using integrated mRNA-seq and miRNA-seq analysis. Methods A mouse model of pulmonary fibrosis was established by dynamic SiO₂ dust exposure. The experimental design included a blank control group and four SiO₂-exposed groups (7, 14, 28, and 56 d, n=10 per group). Successful model induction was confirmed by histopathological analysis (HE and Masson staining), hydroxyproline (HYP) quantification, and expression of key fibrosis-related cytokines [fibroblast growth factor (FGF), interleukin-6 (IL-6), transforming growth factor-β (TGF-β), and tumor necrosis factor-α (TNF-α)]. Lung tissues from mice in each group were subjected to sequencing, and Mfuzz was used for time-series gene clustering to identify dynamic progression patterns. DESeq2 was utilized to identify differentially expressed genes (DEGs) and differentially expressed miRNAs. Enrichment analysis of DEGs was performed to identify critical signaling pathways and biological processes underlying pulmonary fibrosis progression. Expression of four selected miRNAs was subsequently validated by real-time quantitative polymerase chain reaction (RT-qPCR). The target mRNAs of key miRNAs were comprehensively predicted by integrating miRBase, starBase, and miRTarBase to construct the regulatory networks and investigate potential functions. Results SiO₂ exposure led to time-dependent aggravation of pulmonary fibrosis in mice, evidenced by increased fibrous deposition, elevated HYP levels (P < 0.01), and up-regulation of four kinds of pro-fibrotic cytokines (P < 0.01) compared with the NT group. Mfuzz clustering revealed the stage-specific characteristics. Compared to controls, 231, 662, 448, and 1020 DEGs were identified after SiO₂ exposure at 7, 14, 28, and 56 d, respectively, primarily enriched in immune responses and chemokine signaling. During critical fibrotic phases—7 d (acute inflammation and initiation) and 28 d (chronic inflammation and establishment)—18 differentially expressed miRNAs were identified; notably mmu-miR-135b-5p was significantly dysregulated at both time points. The expression trends of the four key miRNAs (mmu-miR-135b-5p, mmu-miR-708-5p, mmu-miR-21a-3p, and mmu-miR-205-5p) were consistent with the sequencing results. Furthermore, bioinformatics databases were used to predict the target mRNAs of key miRNAs. The constructed network highlighted critical miRNA-mRNA pairs—including mmu-miR-135b-5p and Meis1, mmu-miR-708-5p and Mmp25, mmu-miR-21a-3p and Cacna1d, mmu-miR-205-5p and Ereg which were closely associated with inflammatory response, extracellular matrix deposition, and fibroblast activation. Conclusion The progression of pulmonary fibrosis is accompanied by dynamic changes in miRNA-mRNA regulatory networks. The identified miRNA-target axes (e.g., miR-135b-5p and Meis1, mmu-miR-708-5p and Mmp25, mmu-miR-21a-3p and Cacna1d, and mmu-miR-205-5p and Ereg—) may play important roles in fibrogenesis and provide potential therapeutic targets for pulmonary fibrosis.

Background Regulatory interactions between microRNAs (miRNAs) and messenger RNAs (mRNAs) are involved in the progression of pulmonary fibrosis, which can either promote or inhibit the development of this disease. Objective To explore the miRNA-mRNA regulatory network during the progression of silica (SiO₂)-induced pulmonary fibrosis in mice using integrated mRNA-seq and miRNA-seq analysis. Methods A mouse model of pulmonary fibrosis was established by dynamic SiO₂ dust exposure. The experimental design included a blank control group and four SiO₂-exposed groups (7, 14, 28, and 56 d, n=10 per group). Successful model induction was confirmed by histopathological analysis (HE and Masson staining), hydroxyproline (HYP) quantification, and expression of key fibrosis-related cytokines [fibroblast growth factor (FGF), interleukin-6 (IL-6), transforming growth factor-β (TGF-β), and tumor necrosis factor-α (TNF-α)]. Lung tissues from mice in each group were subjected to sequencing, and Mfuzz was used for time-series gene clustering to identify dynamic progression patterns. DESeq2 was utilized to identify differentially expressed genes (DEGs) and differentially expressed miRNAs. Enrichment analysis of DEGs was performed to identify critical signaling pathways and biological processes underlying pulmonary fibrosis progression. Expression of four selected miRNAs was subsequently validated by real-time quantitative polymerase chain reaction (RT-qPCR). The target mRNAs of key miRNAs were comprehensively predicted by integrating miRBase, starBase, and miRTarBase to construct the regulatory networks and investigate potential functions. Results SiO₂ exposure led to time-dependent aggravation of pulmonary fibrosis in mice, evidenced by increased fibrous deposition, elevated HYP levels (P < 0.01), and up-regulation of four kinds of pro-fibrotic cytokines (P < 0.01) compared with the NT group. Mfuzz clustering revealed the stage-specific characteristics. Compared to controls, 231, 662, 448, and 1020 DEGs were identified after SiO₂ exposure at 7, 14, 28, and 56 d, respectively, primarily enriched in immune responses and chemokine signaling. During critical fibrotic phases—7 d (acute inflammation and initiation) and 28 d (chronic inflammation and establishment)—18 differentially expressed miRNAs were identified; notably mmu-miR-135b-5p was significantly dysregulated at both time points. The expression trends of the four key miRNAs (mmu-miR-135b-5p, mmu-miR-708-5p, mmu-miR-21a-3p, and mmu-miR-205-5p) were consistent with the sequencing results. Furthermore, bioinformatics databases were used to predict the target mRNAs of key miRNAs. The constructed network highlighted critical miRNA-mRNA pairs—including mmu-miR-135b-5p and Meis1, mmu-miR-708-5p and Mmp25, mmu-miR-21a-3p and Cacna1d, mmu-miR-205-5p and Ereg which were closely associated with inflammatory response, extracellular matrix deposition, and fibroblast activation. Conclusion The progression of pulmonary fibrosis is accompanied by dynamic changes in miRNA-mRNA regulatory networks. The identified miRNA-target axes (e.g., miR-135b-5p and Meis1, mmu-miR-708-5p and Mmp25, mmu-miR-21a-3p and Cacna1d, and mmu-miR-205-5p and Ereg—) may play important roles in fibrogenesis and provide potential therapeutic targets for pulmonary fibrosis.

[Objective] To validate and optimize the platelet transfusion refractoriness (PTR) prediction model for patients with hematological disorders established by our center. [Methods] The data of patients with hematological diseases who received platelet transfusions from December 2021 to December 2022 were used as the training set, and data from January 2023 to December 2023 as the validation set. The validation set data was used to validate the predictive model constructed on the training set. Relevant risk factors for PTR were collected through literature review and preliminary studies。 The patients were divided into effective and ineffective groups according to the corrected count increment (CCI) of platelet counts. Predictive factors were screened using univariate and multivariate logistic regression. The calibration of the model were assessed via calibration curves, while discrimination, accuracy, sensitivity, and specificity were evaluated using receiver operating characteristic (ROC) curves Clinical utility was further analyzed with decision curve analysis (DCA). [Results] The Hosmer-Lemeshow (H-L) goodness-of-fit test for the validation set yielded S: P=0.000, indicating that the original model needs optimization. Baseline comparisons and logistic regression identified the number of red blood cell units (RBCU) and platelet units (PLT-U) transfused as key predictors for the optimized model. The H-L goodness-of-fit test S: P values for the training and validation sets were 0.930 and 0.056, respectively; the ROC areas were 0.793 5 and 0.809 4, specificities 90.95% and 84.21%, sensitivities 59.26% and 70.04%, and accuracies 78.14% and 74.10%, respectively. DCA demonstrated clinical net benefit within a prediction probability threshold range of 0.2-0.8. [Conclusion] Transfusion volumes of RBC-U and PLT-U were inversely associated with PTR in hematological patients. The resulting PTR prediction model exhibits moderate predictive efficacy and clinical benefit.

OBJECTIVES: To evaluate the performance of a multi-constraint representation learning classification model for identifying ovarian cancer with missing laboratory indicators. METHODS: Tabular data with missing laboratory indicators were collected from 393 patients with ovarian cancer and 1951 control patients. The missing ovarian cancer laboratory indicator features were projected to the latent space to obtain a classification model using the representational learning classification model based on discriminative learning and mutual information coupled with feature projection significance score consistency and missing location estimation. The proposed constraint term was ablated experimentally to assess the feasibility and validity of the constraint term by accuracy, area under the ROC curve (AUC), sensitivity, and specificity. Cross-validation methods and accuracy, AUC, sensitivity and specificity were also used to evaluate the discriminative performance of this classification model in comparison with other interpolation methods for processing of the missing data. RESULTS: The results of the ablation experiments showed good compatibility among the constraints, and each constraint had good robustness. The cross-validation experiment showed that for identification of ovarian cancer with missing laboratory indicators, the AUC, accuracy, sensitivity and specificity of the proposed multi-constraints representation-based learning classification model was 0.915, 0.888, 0.774, and 0.910, respectively, and its AUC and sensitivity were superior to those of other interpolation methods. CONCLUSIONS The proposed model has excellent discriminatory ability with better performance than other missing data interpolation methods for identification of ovarian cancer with missing laboratory indicators.
Female ; Humans ; Ovarian Neoplasms/diagnosis* ; Machine Learning ; ROC Curve

Chemotherapy-induced peripheral neurotoxicity (CIPN) is a severe dose-limiting adverse event of chemotherapy. Presently, the mechanism underlying the induction of CIPN remains unclear, and no effective treatment is available. In this study, through metabolomics analyses, we found that nab-paclitaxel therapy markedly increased serum serotonin [5-hydroxtryptamine (5-HT)] levels in both cancer patients and mice compared to the respective controls. Furthermore, nab-paclitaxel-treated enterochromaffin (EC) cells showed increased 5-HT synthesis, and serotonin-treated Schwann cells showed damage, as indicated by the activation of CREB3L3/MMP3/FAS signaling. Venlafaxine, an inhibitor of serotonin and norepinephrine reuptake, was found to protect against nerve injury by suppressing the activation of CREB3L3/MMP3/FAS signaling in Schwann cells. Remarkably, venlafaxine was found to significantly alleviate nab-paclitaxel-induced CIPN in patients without affecting the clinical efficacy of chemotherapy. In summary, our study reveals that EC cell-derived 5-HT plays a critical role in nab-paclitaxel-related neurotoxic lesions, and venlafaxine co-administration represents a novel approach to treating chronic cumulative neurotoxicity commonly reported in nab-paclitaxel-based chemotherapy.
Paclitaxel/toxicity* ; Animals ; Albumins/adverse effects* ; Serotonin/metabolism* ; Mice ; Humans ; Male ; Female ; Venlafaxine Hydrochloride/therapeutic use* ; Neurotoxicity Syndromes/metabolism* ; Middle Aged ; Schwann Cells/metabolism* ; Peripheral Nervous System Diseases/drug therapy* ; Antineoplastic Agents

BACKGROUND: Asthma is a common chronic inflammatory airway disease and intermittent hypoxia is increasingly recognized as a factor that may impact disease progression. The present study investigated whether intermittent hypoxia (IH) could aggravate asthma by promoting hypoxia-inducible factor-1α (HIF-1α)/nucleotide-binding oligomerization domain (NOD)-like receptor pyrin domain-containing protein 3 (NLRP3)/interleukin (IL)-1β-dependent pyroptosis and the inflammatory response and further elucidated the underlying molecular mechanisms involved. METHODS: A total of 49 patients diagnosed with severe bronchial asthma and diagnosed by polysomnography were enrolled at Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, between January 2022 and December 2022, and their general data and induced sputum were collected. BEAS-2B cells were treated with IL-13 and subjected to IH. An ovalbumin (OVA)-treated mouse model was also used to assess the effects of chronic intermittent hypoxia (CIH) on asthma. Pyroptosis, the inflammatory response, and related signalling pathways were assessed in vivo and in vitro . RESULTS: In this study, as the apnoea and hypopnea index (AHI) increased, the proportion of patients with uncontrolled asthma increased. The proportions of neutrophils and the levels of IL-6, IL-8, HIF-1α and NLRP3 in induced sputum were related to the AHI. NLRP3-mediated pyroptosis, which could be mediated by the HIF-1α signalling pathway, was activated in IL-13 plus IH-treated BEAS-2B cells and in the lungs of OVA/CIH mice. HIF-1α downregulation significantly reduced lung pyroptosis and ameliorated neutrophil inflammation by modulating the NLRP3/IL-1β pathway both in vitro and in vivo . Similarly, pretreatment with LW6, an inhibitor of HIF-1α, effectively blocked the generation of inflammatory cytokines in neutrophils. In addition, administration of the NLRP3 activator nigericin obviously increased lung neutrophil inflammation. CONCLUSIONS Obstructive sleep apnoea-hypopnea syndrome (OSAHS) is a risk factor for asthma exacerbation. IH aggravates neutrophil inflammation in asthma via NLRP3/IL-1β-dependent pyroptosis mediated by the HIF-1α signalling pathway, which should be considered a potential therapeutic target for the treatment of asthma with OSAHS.
NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Humans ; Asthma/metabolism* ; Animals ; Pyroptosis/physiology* ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Mice ; Signal Transduction/physiology* ; Male ; Hypoxia/metabolism* ; Female ; Interleukin-1beta/metabolism* ; Adult ; Inflammation/metabolism* ; Middle Aged ; Mice, Inbred C57BL

Objective:To investigate the safety, feasibility and efficacy of trans-oral robotic surgery in the treatment of lingual thyroglossal duct cyst. Methods:The clinical data of 21 patients with lingual thyroglossal duct cyst underwent trans-oral robotic surgery from May 2017 to March 2025 were analyzed retrospectively. Results:The cysts in all 21 patients were successfully excised by trans-oral robotic surgery. The mean robotic set-up and exposure time, operation time, estimated intraoperative blood loss and recovery time for oral intake were （14.3±7.2） min （[range 5.0-32.0]min）, （17.0±8.4） min （range[6.0-36.0]min）, （8.4±5.9） mL （range[2.0-25.0]mL） and （2.1±2.2） days （range[0-7]days）, respectively. No patients required tracheostomy, and no severe postoperative complications occurred. The patients were followed up for 2 to 96 months, with median follow-up time of 47 months, and 1 recurrence was observed. Conclusion:Excision of lingual thyroglossal duct cyst by trans-oral robotic surgery is safe and feasible, with rapid recovery and low recurrence rate, which is worth popularizing in clinical practice.
Humans ; Thyroglossal Cyst/surgery* ; Robotic Surgical Procedures/methods* ; Retrospective Studies ; Female ; Male ; Adult ; Treatment Outcome ; Middle Aged ; Adolescent

Acute kidney injury (AKI) has high morbidity and mortality, but effective clinical drugs and management are lacking. Previous studies have suggested that macrophages play a crucial role in the inflammatory response to AKI and may serve as potential therapeutic targets. Emerging evidence has highlighted the importance of forkhead box protein O1 (FoxO1) in mediating macrophage activation and polarization in various diseases, but the specific mechanisms by which FoxO1 regulates macrophages during AKI remain unclear. The present study aimed to investigate the role of FoxO1 in macrophages in the pathogenesis of AKI. We observed a significant upregulation of FoxO1 in kidney macrophages following ischemia-reperfusion (I/R) injury. Additionally, our findings demonstrated that the administration of FoxO1 inhibitor AS1842856-encapsulated liposome (AS-Lipo), mainly acting on macrophages, effectively mitigated renal injury induced by I/R injury in mice. By generating myeloid-specific FoxO1-knockout mice, we further observed that the deficiency of FoxO1 in myeloid cells protected against I/R injury-induced AKI. Furthermore, our study provided evidence of FoxO1's pivotal role in macrophage chemotaxis, inflammation, and migration. Moreover, the impact of FoxO1 on the regulation of macrophage migration was mediated through RhoA guanine nucleotide exchange factor 1 (ARHGEF1), indicating that ARHGEF1 may serve as a potential intermediary between FoxO1 and the activity of the RhoA pathway. Consequently, our findings propose that FoxO1 plays a crucial role as a mediator and biomarker in the context of AKI. Targeting macrophage FoxO1 pharmacologically could potentially offer a promising therapeutic approach for AKI.

Imaging examination is a crucial part in diagnosis and treatment of central nervous system infection(CNSI),involving complex imaging sequences and parameters.This consensus was jointly written by multiple CNSI imaging experts in China,aimed to standardize imaging examination of CNSI.