BACKGROUND:Peripheral nerve axon rupture seriously affects patients' physical function and mental health.Microsurgery,nerve autograft,nerve allograft,fibrin glue and catheter technology are the main treatments for peripheral nerve injury,each of which has its own advantages and disadvantages,but the overall treatment effect is not satisfactory.Despite the clinical success of Schwann cells in promoting axonal regeneration,there are still many challenges in the treatment with Schwann cells,such as slow expansion of Schwann cells,immune rejection,and low survival rate of transplanted cells.OBJECTIVE:To summarize the role and mechanism of Schwann cells in promoting the regeneration of peripheral nerve axons,and the difficulties and challenges of Schwann cells in the process of nerve regeneration treatment.METHODS:PubMed,Medline,WanFang,VIP,and CNKI were searched by computer using the search terms of"Schwann cells,synaptic Schwann cell,macrophage,peripheral nerve axon rupture,Wallerian degeneration,Peripheral nerve axon regeneration,Central nervous system repair"in English and Chinese.Literature related to Schwann cell proliferation and differentiation,promotion of peripheral nerve regeneration,and clinical applications was retrieved from database inception to October 2024,and a total of 95 articles were finally included for review.RESULTS AND CONCLUSION:Schwann cells interact with macrophages,T cells and other cells,to initiate the regeneration process through signaling pathways,including Krox20/C-Jun,NRG-1/ErbB,Notch,MAPK,and PI3K/Akt/mTOR,synthesize and release nerve growth factors,and thus promote regeneration of the peripheral nervous system.Schwann cells have been experimentally demonstrated to have great potential in peripheral nerve repair and are expected to become the key target of therapeutic intervention.However,there are still problems such as difficulties in cell harvest and culture,as well as the occurrence of other diseases during the treatment process.

BACKGROUND:Peripheral nerve axon rupture seriously affects patients' physical function and mental health.Microsurgery,nerve autograft,nerve allograft,fibrin glue and catheter technology are the main treatments for peripheral nerve injury,each of which has its own advantages and disadvantages,but the overall treatment effect is not satisfactory.Despite the clinical success of Schwann cells in promoting axonal regeneration,there are still many challenges in the treatment with Schwann cells,such as slow expansion of Schwann cells,immune rejection,and low survival rate of transplanted cells.OBJECTIVE:To summarize the role and mechanism of Schwann cells in promoting the regeneration of peripheral nerve axons,and the difficulties and challenges of Schwann cells in the process of nerve regeneration treatment.METHODS:PubMed,Medline,WanFang,VIP,and CNKI were searched by computer using the search terms of"Schwann cells,synaptic Schwann cell,macrophage,peripheral nerve axon rupture,Wallerian degeneration,Peripheral nerve axon regeneration,Central nervous system repair"in English and Chinese.Literature related to Schwann cell proliferation and differentiation,promotion of peripheral nerve regeneration,and clinical applications was retrieved from database inception to October 2024,and a total of 95 articles were finally included for review.RESULTS AND CONCLUSION:Schwann cells interact with macrophages,T cells and other cells,to initiate the regeneration process through signaling pathways,including Krox20/C-Jun,NRG-1/ErbB,Notch,MAPK,and PI3K/Akt/mTOR,synthesize and release nerve growth factors,and thus promote regeneration of the peripheral nervous system.Schwann cells have been experimentally demonstrated to have great potential in peripheral nerve repair and are expected to become the key target of therapeutic intervention.However,there are still problems such as difficulties in cell harvest and culture,as well as the occurrence of other diseases during the treatment process.

Objective:To retrospectively analyze the cases of inflammatory myofibroblastic tumor (IMT) involving the sinonasal skull base, and to investigate their clinical characteristics, diagnostic approaches, and treatment outcomes, in order to improve understanding of this rare entity.Methods:Clinical data from five patients with pathologically confirmed sinonasal skull base IMT who underwent surgical treatment at Xiangya Hospital of Central South University between April 2010 and June 2023 were reviewed. Information on clinical presentation, laboratory findings, imaging features, histopathological and immunohistochemical results, treatment strategies, and follow-up outcomes was collected. A comprehensive analysis was performed in combination with a literature review to summarize the clinical features, diagnostic methods, and therapeutic approaches for sinonasal skull base IMT.Results:The five patients (aged 18 to 68 years) were all diagnosed based on histopathological and immunohistochemical examinations. The lesions primarily involved the nasopharynx, clivus, sphenoid sinus, and maxillary sinus. Major clinical symptoms included nasal obstruction, headache, blood-tinged nasal discharge, and facial numbness or pain. All patients underwent surgical resection; two of them also received adjunctive glucocorticoid therapy. During follow-up ranging from 1 to 143 months, two patients experienced tumor recurrence, three patients had no recurrence with significant symptomatic improvement.Conclusions:Histopathology combined with immunohistochemistry is critical for the diagnosis of sinonasal skull base IMT. Complete surgical excision when feasible remains the primary treatment strategy.

OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predictive model for elderly critically ill patients based on interpretability machine learning algorithms, providing a new scheme for clinical disease assessment. METHODS: Elderly critically ill patients aged ≥ 65 years who were hospitalized in the intensive care unit (ICU) of Tacheng People's Hospital of Ili Kazak Autonomous Prefecture from June 2017 to May 2020 were retrospectively selected. Basic parameters including demographic characteristics, basic vital signs and fluid intake and output within 24 hours after admission, as well acute physiology and chronic health evaluation II (APACHE II), Glasgow coma score (GCS) and sequential organ failure assessment (SOFA) were also collected. According to outcomes in hospital, patients were divided into survival group and death group. Four datasets were constructed respectively, namely baseline dataset (B), including age, body temperature, heart rate, pulse oxygen saturation, respiratory rate, mean arterial pressure, urine output volume, infusion volume, and crystal solution volume; B+APACHE II dataset (BA), B+GCS dataset (BG), and B+SOFA dataset (BS). Then three machine learning algorithms, Logistic regression (LR), extreme gradient boosting (XGboost) and gradient boosting decision tree (GBDT) were used to develop the corresponding mortality predictive models within four datasets. The feature importance histogram of each prediction model was drawn by SHapley additive explanation (SHAP) method. The area under curve (AUC), accuracy and F1 score of each model were compared to determine the optimal prediction model and then illuminate the nomogram. RESULTS: A total of 392 patients were collected, including 341 in the survival group and 51 in the death group. There were statistically significant differences in heart rate, pulse oxygen saturation, mean arterial pressure, infusion volume, crystal solution volume, and etiological distribution between the two groups. The top three causes of death were shock, cerebral hemorrhage, and chronic obstructive pulmonary disease. Among the 12 prognostic models trained by three machine learning algorithms, overall performance of prognostic models based on B dataset was behind, whereas the LR model trained by BA dataset achieved the best performance than others with AUC of 0.767 [95% confidence interval (95%CI) was 0.692-0.836], accuracy of 0.875 (95%CI was 0.837-0.903) and F1 score of 0.190. The top 3 variables in this model were crystal solution volume with first 24 hours, heart rate and mean arterial pressure. The nomogram of the model showed that the total score between 150 and 230 were advisable. CONCLUSION The interpretable machine learning model including simple bedside parameters combined with APACHE II score could effectively identify the risk of death in elderly patients with critically illness.
Humans ; Critical Illness ; Machine Learning ; Aged ; Algorithms ; Intensive Care Units ; Retrospective Studies ; APACHE ; Prognosis ; Organ Dysfunction Scores ; Hospital Mortality ; Male ; Female

ObjectiveTo understand the epidemic characteristics of influenza in Beijing from 2023 to 2024, and to provide a scientific basis for the prevention and control of influenza. MethodsData on influenza-like illness (ILI) from secondary level and above hospitals, etiology surveillance data, and influenza clusters outbreaks data from 2023‒2024 were used to analyze the epidemic trend and pathogenic characteristics of influenza. Furthermore, an influenza comprehensive index was used to categorize the epidemic intensity at the severity level. ResultsA total of 2 065 857 ILI cases were reported in 2023‒2024 epidemic season, and the percentage of ILI was 3.67%. The age group of 5‒14 years accounted for the highest proportion of ILI (30.48%). A total of 41 766 throat swabs from ILI were detected, with a positive rate of 17.28%.A (H3N2) (51.86%) and B Victoria (41.93%) were the most prevalent subtypes of influenza virus. Clustered influenza outbreaks occurred mainly in primary schools (57.78%) and middle schools (35.55%), mainly caused by the influenza A (H3N2) subtype (85.93%). According to the influenza comprehensive index (I), the period of influenza activity and above (I>0.5) lasted for a total of 37 weeks, accounting for 71.15% of the entire influenza season. ConclusionCompared with previous years, the epidemic level of influenza in Beijing was increased in 2023‒2024, and the peak time became earlier. The comprehensive index method can objectively evaluate the level of influenza epidemic and provide suggestions for the future prevention and control of influenza in Beijing.

As a type of acute cerebrovascular disease,stroke is one of the most common fatal and disabling diseases in the world,which seriously threatens the quality of life of patients;however,there are still limited treatment methods for this disease in clinical practice.Traditional Chinese medicine(TCM)has a long history and good efficacy in the treatment of stroke,and the active components of TCM can alleviate nerve injury caused by stroke by improving the development and progression of various pathophysiological mechanisms such as nerve inflammation,oxidative stress,and blood-brain barrier damage.This article reviews the role of active components of TCM in the treatment of ischemic stroke,in order to provide more ideas and options for the clinical treatment of this disease in the future.

Objective:To investigate the intervention effect and active mechanism of traditional Chinese medicine Marsdenia tenacis-sima on colitis-associated colorectal cancer(CAC).Methods:High-resolution mass spectrometry and a precise mass number data-base were used to identify the chemical components of Marsdenia tenacissima,and network pharmacology methods were used to obtain the main active components and targets of Marsdenia tenacissima in the treatment of colorectal cancer(CRC)and analyze its mecha-nism of action against CRC.A mouse model of CAC was established,and then Marsdenia tenacissima was analyzed in terms of its effect on disease activity index(DAI),body mass,colorectal morphology,and serum levels of tumor necrosis factor-α(TNF-α)and interleu-kin-1β(IL-1β)in CAC mice.Furthermore,16S rDNA sequencing technique was used to assess the impact of Marsdenia tenacissima on the diversity of intestinal microbiota in mice.Results:A total of 50 components were identified by mass spectrometry,and 37 active components were identified by network pharmacology.Furthermore,313 targets related to CRC were identified.A total of 958 GO terms and 173 KEGG terms were obtained,among which inflammation,oxidative stress,and cancer pathways showed a relatively high de-gree of association with Marsdenia tenacissima.After modeling,the mice in each group had the manifestations such as diarrhea,bloody stool,prolapse of anus,and weight loss,and the model group had a significant increase in DAI score after each DSS cycle,while the Marsdenia tenacissima group had a significant reduction in DAI score of the model mice after the first,second,and third cycles(P=0.007,P<0.001,and P<0.001).In addition,compared with the model group,the Marsdenia tenacissima group had a significant in-crease in colorectal length,alleviation of intestinal swelling,a relatively intact structure of epithelial cells,a reduction in inflammatory cell infiltration,a significant increase in goblet cells,a reduction in atypical hyperplasia,and significant reductions in the levels of TNF-α and IL-6 in CAC mice(P<0.001 and 0.002).The Marsdenia tenacissima group had significant reductions in the abundance and diversity of intestinal microbiota,and compared with the model group,the Marsdenia tenacissima group had a significant reduction in the relative abundance of Bacteroides and significant increases in the relative abundances of Muribaculaceae and Clostridia-UCG-014(P=0.002 and 0.009).Conclusion:Marsdenia tenacissima exerts an intervention effect on colorectal cancer in CAC mice,possibly by regulating the pathways associated with inflammation and cancer and altering the diversity of intestinal microbiota.

Objective To analyze the situation of insecticide-treated nets (ITNs) ownership in malaria-endemic African countries from 2010 to 2023, so as to provide insights into China’s deeper participation in malaria control in Africa. Methods The study period from 2010 to 2023 was divided into three phases: the baseline phase (from 2010 to 2015), the middle phase (from 2016 to 2019), and the final phase (from 2020 to 2023), a total of 11 African countries with at least one Demographic and Health Survey (DHS) in each phase were included. Data pertaining to ITNs in 33 surveys of the above 11 African counties from 2010 to 2023 were captured from the DHS database, and the proportions of sources of ITNs and ITN ownership in each phase (number of ITNs ownership per person, overall ownership rate, and ownership rate per two residents) were calculated. The differences in numbers of ITNs per person between urban and rural areas and specified by socioeconomic status were analyzed. Results The proportions of ITNs from distribution campaigns were 60.24% to 94.01% and 50.46% to 85.04% in 11 African countries in the middle and final phases, respectively. The median numbers (interquartile range) of INTs ownership per person were 0.22 (0.50), 0.33 (0.50) and 0.33 (0.50) in the baseline, middle, and final phases, and the overall ownership rates [95% confidence interval (CI)] were 59.77% (59.50%, 60.05%), 70.32% (70.06%, 70.57%), and 69.21% (68.95%, 69.47%), while the ownership rates per two residents were 26.91% (26.66%, 27.16%), 38.07% (37.80%, 38.34%), and 36.56% (36.29%, 36.84%), respectively. The number of ITNs per person showed a significant increase followed by a significant decrease in 7 countries during all three phases (H = 102.518 to 2 327.440, all P < 0.05; Z = -48.886 to -4.653, all P < 0.016 7 after Bonferroni correction). In 33 surveys, there were 31 (Z = -26.719 to -2.472, P < 0.05) and 28 surveys (Z = -27.316 to -4.068, P < 0.001) with significant differences in numbers of ITNs ownership per person between households in urban and rural areas and with different socioeconomic status, including 20 surveys with a significantly higher number of ITNs ownership per person in households in rural areas than in urban areas, and 17 surveys with a significantly higher number of ITNs ownership per person among the poorest households than among the richest households. Conclusions There are substantial disparities in ITNs ownership in 11 African countries. Intensified co-operation on malaria prevention and control measures, such as ITNs, is recommended between China and African countries to build a global community of health for all.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

Objective:To analyze the effect of influenza vaccination on influenza cluster epidemic in primary and secondary schools in Beijing during the 2023-2024 surveillance season and provide evidence for the improvement of influenza vaccination strategies.Methods:The incidence data of influenza cluster epidemic and influenza vaccination coverage in the schools in Beijing during 2023-2024 were collected. Descriptive epidemiological methods were used to analyze cluster epidemic characteristics, and χ2 test was used to compare incidence differences between groups, and OR value and vaccine effectiveness [VE=(1- OR)×100%] were calculated. A negative binomial regression model was used to evaluate the association between school vaccination rates and cluster epidemic risk. Joinpoint regression was used to analyze trends in relative risk ( RR) with increasing vaccination coverage and to determine the optimal vaccination threshold. Results:A total of 126 influenza cluster epidemic were reported in 115 primary and secondary schools in Beijing during 2023-2024 with the median size of 15 case, the average attack rate was 36.26% (2 033/5 607). The epidemics mainly occurred in urban area (70, 55.56%). Primary schools were the main setting (78, 61.90%), and influenza A(H3N2) was the predominant subtype (108, 85.71%). The overall influenza vaccination coverage in the primary and secondary students was 54.26%, while the average vaccination in classes affected by the epidemics was 58.57%. The overall protection rate was 47.62%, the protection rate was higher in primary schools (49.65%) than in secondary schools (46.60%). The protection rates against influenza A(H1N1)pdm09 (80.93%) and influenza B (Victoria lineage) (81.65%) were significantly higher than that against influenza A(H3N2) (44.19%). When school vaccination coverage reached ≥76.00%, the epidemic risk decreased by 52.82%.Conclusions:Even the match between influenza vaccine strains and circulating strains is suboptimal, increasing influenza vaccination coverage in schools can effectively reduce the risk for influenza cluster epidemic. In the future, measures such as policy guidance and public health education should be taken to further improve vaccination coverage, thereby establishing herd immunity and reducing the transmission risk of influenza in schools.