ObjectiveFor prepubertal and urgently treated malignant tumor patients, ovarian tissue cryopreservation and transplantation represent more appropriate fertility preservation methods. Current clinical practices often involve freezing ovarian tissue with high concentrations of cryoprotectants (CPAs) and thawing with water baths. These processes lead to varying degrees of toxicity and devitrification damage to ovarian tissue. Therefore, this paper proposes optimized methods for vitrification of ovarian tissues based on sodium alginate hydrogel encapsulation and magnetic induction nanowarming technology. MethodsFirstly, the study investigated the effects of sodium alginate concentration, the sequence of hydrogel encapsulation and CPAs loading on vitrification efficiency of encapsulated ovarian tissue. Additionally, the capability of sodium alginate hydrogel encapsulation to reduce the required concentration of CPAs was validated. Secondly, a platform combining water bath and magnetic induction nanowarming was established to rewarm ovarian tissue under various concentrations of magnetic nanoparticles and magnetic field strengths. The post-warming follicle survival rate, antioxidant capacity, and ovarian tissue integrity were evaluated to assess the efficacy of the method. ResultsThe study found that ovarian tissue encapsulated with 2% sodium alginate hydrogel exhibited the highest follicle survival rate after vitrification. The method of loading CPAs prior to encapsulation proved more suitable for ovarian tissue cryopreservation, effectively reducing the required concentration of CPAs by 50%. A combination of 8 g/L Fe₃O₄ nanoparticles and an alternating magnetic field of 300 Gs showed optimal warming effectiveness for ovarian tissue. Combining water bath rewarming with magnetic induction nanowarming yielded the highest follicle survival rate, enhanced antioxidant capacity, and preserved tissue morphology. ConclusionSodium alginate hydrogel encapsulation of ovarian tissue reduces the concentration of CPAs required during the freezing process. The combination of magnetic induction nanowarming with water bath provides an efficient method ovarian tissue rewarming. This study offers novel approaches to optimize ovarian tissues vitrification.

Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

As a neglected tropical disease, schistosomiasis remains a major public health challenge in underdeveloped areas, notably Africa. Currently, the national schistosomiasis control programmes in Africa mainly depend on foreign aids; however, conventional international aid models have multiple limitations. To enhance the effectiveness and sustainability of global schistosomiasis control programmes, this article proposes a trinity collaboration model based on international rules, China’s experiences and local needs, which is explained with China aid project of schistosomiasis control in Zanzibar as an example. Based on the successful experiences from the national schistosomiasis control programme in China, this model emphasizes the compliance with World Health Organization guidelines and fully considers local actual needs to promote the effectiveness and sustainability of the schistosomiasis control programme through integrating international resources and promoting China’s experience to meet local needs. The successful practice of the China aid project of schistosomiasis control in Zanzibar provides strong evidence that the model is of great theoretical significance and practical value to improve the efficiency of multilateral collaboration and promote global health governance.

The goal of achieving elimination of schistosomiasis across all endemic counties in China by 2030 was proposed in the Outline of the Healthy China 2030 Plan. On June 16, 2023, the Action Plan to Accelerate the Elimination of Schistosomiasis in China (2023—2030) was jointly issued by National Disease Control and Prevention Administration and other 10 ministries, which deployed the targets and key tasks of the national schistosomiasis elimination programme in China. This article describes the progress of the national schistosomiasis control programme, analyzes the opportunities to eliminate schistosomiasis, and proposes targeted recommendations to tackle the challenges of schistosomiasis elimination, so as to accelerate the process towards schistosomiasis elimination and facilitate the building of a healthy China.

Objective Through the combined detection method,we tried to find more sensitive biomarkers for the diagnosis of acute TBI,which might provide the exact diagnosis,treatment and monitoring indicators for the clinic.Methods A total of 156 patients with acute TBI admitted to the Emergency Traumatic Center of Yan'an Hospital of Kunming from October 2022 to June 2023 were collected and included the normal and fracture control groups.Peripheral blood samples of the enrolled patients were collected and monitored,S100β and IL-6 were tested and clinical data such as hs-CRP was collected immediately upon admission,then statistical analysisanalysis was conducted.Results Peripheral blood in patients with acute TBI,The levels of S100β,IL-6 and hs-CRP significantly increased,and the area under the ROC curve for diagnosing acute TBI was 0.944,0.915,and 0.897.The combined detection of the three indicators showed an area under the ROC curve of up to 0.975.Person correlation analysis found a positive correlation between the three indicators,especially S100β with IL-6,The correlation coefficient between them is 0.715.Binary logistic regression analysis found that S100β,IL-6 and hs-CRP are independent risk factors for acute TBI.Conclusions The combined detection of S100β,IL-6 and hs-CRP can effectively improve the sensitivity of acute TBI diagnosis.The mutual promotion of S100β and IL-6 may aggravate the secondary craniocerebral injury caused by inflammatory mechanism,and early targeted treatment may improve the prognosis.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

The anti-inflammatory effect of simplified Zhiqin Decoction was observed by using lipopolysaccharide (LPS)-induced inflammation mouse model. The main chemical constituents and the main mechanism of action of simplified Zhiqin Decoction were predicted by network pharmacology. Animal experiments verified the anti-inflammatory mechanism of simplified Zhiqin Decoction (this experiment was approved by the Animal Experiment Ethics Committee of Southwest University, approval number: IACUC-20210825-02). Simplifying Zhiqin Decoction has a significant anti-inflammatory effect on inflammatory mice, can significantly improve the overall macro shape of mice, reduce body temperature, water intake, increase the number of autonomous activities; alleviate liver, lung, spleen, thymus inflammation and pathological damage; decrease tumor necrosis factor-α (TNF-α), interleukin (IL)-1β and IL-6, nitric oxide (NO), prostaglandin E₂ (PGE₂) content in serum and urine. The contents of serum immune factors IgG, IgA and IgM were increased. Network pharmacology predicted 66 potential anti-inflammatory active components of simplified Zhiqin Decoction involving 132 inflammatory targets, and the key anti-inflammatory signaling pathway involved PI3K/AKT, TNF, JAK-STAT, etc. Animal experiments show that simplified Zhiqin Decoction can significantly reduce the expression of JAK2/STAT-PI3K/AKT-NF-κB-TNF signaling pathway related proteins in lung tissue of inflammatory mice. The results of this study showed that simplified Zhiqin Decoction had significant anti-inflammatory effects, and its main anti-inflammatory components were quercetin, β-sitosterol, kaempferol, wogonin, stigmasterol, luteolin, neobaicalein, etc. The main mechanism of its anti-inflammatory action is that it significantly inhibits the expression of JAK2/STAT-PI3K/AKT-NF-κB-TNF signaling pathway protein.

Background and purpose:Colorectal cancer(CRC)is one of the major malignant tumors threatening human health worldwide,with long-term high incidence and mortality rate.Potassium channel modulatory factor 1(KCMF1)is a member of the E3 ubiquitin ligase family.It binds to target proteins through the RING domain and participates in the regulation of a variety of biological processes in vivo.However,the function of KCMF1 in CRC remains unclear.This study aimed to investigate the expression level of E3 ubiquitin ligase KCMF1 in colorectal tumor,and to explore the effects of KCMF1 on the proliferation of CRC cells and its underlying molecular mechanism.Methods:The The Cancer Genome Atlas(TCGA)and Genotype-Tissue Expression(GTEx)databases were used to analyze the expression level of KCMF1 in CRC tissues and adjacent tissues and the association between the KCMF1 expression and the prognosis of CRC patients.Furthermore,immunohistochemical staining was performed to detect the protein level of KCMF1 in 90 paired human CRC tissues and adjacent non-tumor tissues.Lentiviral shRNA delivery system was employed to specifically target the KCMF1 gene(shKCMF1)in HCT116 and HCT15 CRC cell lines.The effects of KCMF1 knockdown on cell proliferation,apoptosis and cell cycle distribution were assessed by methyl thiazoyl terazolium(MTT)assay,colony formation assay,Western blot and flow cytometry.Changes in the transcriptional profile in HCT116 cells upon KCMF1 knockdown were identified by RNA sequencing(RNA-Seq),and the affected signaling pathways were evaluated by bioinformatics analysis.Real-time fluorescence quantitative polymerase chain reaction(RTFQ-PCR),Western blot,luciferase reporter assay and cell immunofluorescence assay were utilized to validate the alteration of the affected signaling pathway.Results:The TCGA and GTEx databases and IHC results showed that the mRNA and protein expression levels of KCMF1 in CRC tissues were significantly upregulated compared with adjacent tissues(P＜0.01).KCMF1 expression level was negatively correlated with the survival time of patients with CRC(P＜0.01),and was positively associated with CRC clinical stage(P＜0.05).Compared with control cells,KCMF1 knockdown significantly inhibited the proliferation of HCT116 and HCT15 cells(P＜0.001),induced cell apoptosis(P＜0.001),and led to cell cycle arrest in G1 phase(P＜0.01).RNA-Seq analysis showed that KCMF1 was involved in the regulation of several signaling pathways,including nuclear factor-κB(NF-κB)signaling pathway.KCMF1 knockdown reduced the transcription levels of the target genes of NF-κB signaling pathway,including BCL-XL,XIAP and CIAP(P＜0.05),and suppressed the expression of phosphorylated p65 and nuclear translocation of p65(P＜0.01).Meanwhile,the activity of NF-κB reporter was reduced in tumor cells upon KCMF1 knockdown(P＜0.01).Conclusion:The expression of KCMF1 is significantly upregulated in human CRC tissues and positively associated with advanced clinical stage and poor prognosis.KCMF1 may promote the proliferation of CRC cells by activating the NF-κB signaling pathway.KCMF1 may be a potential new therapeutic target for CRC.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Multisystem inflammatory syndrome in children(MIS-C)is a complex syndrome characterized by multi-organ involvement that has emerged in the context of the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)outbreak.The clinical presentation of MIS-C is similar to Kawasaki disease but predominantly presents with fever and gastrointestinal symptoms,and severe cases can involve toxic shock and cardiac dysfunction.Epidemiological findings indicate that the majority of MIS-C patients test positive for SARS-CoV-2 antibodies.The pathogenesis and pathophysiology of MIS-C remain unclear,though immune dysregulation following SARS-CoV-2 infection is considered a major contributing factor.Current treatment approaches for MIS-C primarily involve intravenous immunoglobulin therapy and symptomatic supportive care.This review article provides a comprehensive overview of the definition,epidemiology,pathogenesis,clinical presentation,diagnosis,treatment,and prognosis of MIS-C.