An implantable cardiac monitor(ICM)is a subcutaneous electronic device for recording and remotely transmitting electrocardiographic events.New-generation ICM,like the Reveal LINQ,have extended arrhythmia monitoring duration and improved diagnostic yield through miniaturization,large storage capacity,and easy implantation.They provide comprehensive monitoring data for cardiovascular disease diagnosis and treatment,optimize individualized treatment plans,and enhance patient prognosis.In recent years,research on ICM in cardiovascular fields has deepened,and their clinical application scope has expanded.They show significant advantages and unique value and are widely used in early cardiovascular disease diagnosis and prognostic management.In the future,ICM are expected to play a bigger role in boosting diagnostic and prognostic capabilities for cardiovascular disease patients,offering stronger support for early disease detection,accurate diagnosis,and effective management.

Aim To explore the mechanism of rhein in the treatment of IgA nephropathy in rats by impro-ving spleen immune function based on mTORC1 path-way.Methods Thirty-two SD rats were randomly di-vided into control group,model group(IgAN),rhein group(RH)and rapamycin group.The deposition of IgA in mesangial region and pathological changes of spleen and kidney were observed,and the ratio of Th/Ts in spleen was determined by immunohistochemical method.The protein expressions of p-mTOR,p-p70S6k,TGF-β1 and TNF-α in spleen were detected by Western blot.Results Compared with the control group,IgAN group significantly increased urinary sludge red blood cell count,24 hour urinary total pro-tein,serum creatinine,blood urea nitrogen,serum IgA,Th/Ts,p-mtor,p-P70S6K and spleen TNF-αprotein expression levels(P＜0.01),and spleen TGF-β1 protein expression(P＜0.05).IgA deposi-tion in mesangial area of the kidney increased signifi-cantly,and pathological changes were observed in spleen and kidney.Compared with IgAN group,urine sludge red blood cell count,serum IgA,Th/Ts,p-mTOR,p-P70S6K and TNF-α protein expression lev-els in RH and RAPA groups were significantly reduced(P＜0.01).24 hour urinary total protein,blood urea nitrogen,serum creatinine and spleen TGF-β1 protein decreased(P＜0.05),the deposition of IgA in the mesangial region of the kidney decreased,and the pathological changes of spleen and kidney were allevia-ted.There was no significant difference between RH group and RAPA group.Conclusions RH can allevi-ate IgA nephropathy by inhibiting the activity of m-TORC1 pathway in the spleen of IgA nephropathy rats,thereby inhibiting the differentiation of splenic lympho-cytes and reducing the secretion of IgA.

Objective To evaluate the clinical outcomes of 514 cases of anterior cruciate ligament(ACL)reconstruction using hamstring tendon autograft and to observe postoperative changes and recovery of the grafts through second-look arthroscopy.Methods This retrospective study collected data from 514 patients who underwent ACL reconstruction with hamstring tendon autograft between May 2015 and June 2018,with a follow-up of at least one year.Knee function recovery and stability were assessed using the Lysholm score,International Knee Documentation Committee(IKDC)score,and Tegner score,along with the pivot shift test and Lachman test.During the second-look arthroscopy,key observations included the synovial coverage,continuity of the reconstructed ligament,and any intra-articular abnormalities.Results The time interval between ACL reconstruction and second-look arthroscopy ranged from 12 to 28 months,with an average of 20 months.Postoperative infection occurred in 2 cases,both of which were successfully treated with arthroscopic debridement and drainage.No other patients experienced infections,graft resorption,or other complications.At the second-look arthroscopy,the Lysholm score significantly improved from(43.56±9.89)preoperative to(92.21±6.12)postoperatively,the difference was statistically significant(P<0.05);The IKDC score increased from(20.32±7.87)to(85.67±10.43),the difference was statistically significant(P<0.05);The Tegner score improved from(4.31±0.82)to(6.61±1.21),the difference was statistically significant(P<0.05).Second-look arthroscopy revealed that the ligament remained intact in 375 patients,with partial tears in 139 patients,ligament tension was maintained in 447 patients,while 67 patients had laxity,the reconstructed ACL graft was deemed to be in good condition in 435 patients and suboptimal in 79 patients,there were significant differences observed in pre-and post-pivot shift test and Lachman test(P<0.05);Among the 514 patients,188(36.58%)successfully returned to sport.Conclusion ACL reconstruction using hamstring tendon autograft effectively restores knee function and stability.In patients followed for more than one years,the grafts show good vascularization and synovial coverage.Emphasis should be placed on systematic postoperative rehabilitation to optimize recovery.

Objective To explore the mechanism of matrine in the treatment of uveal melanoma by network pharmacology,and the related results were verified by molecular docking and cell experiments.Methods The potential targets of matrine were obtained from Swiss Target Prediction,SuperPred and TCMSP databases.The targets related to uveal melanoma were obtained from GeneCards,OMIM,CTD and DrugBank databases.Protein-protein interaction(PPI)network was established to screen core targets.Gene ontology(GO)enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG)signal pathway analysis were carried out for potential targets.The interaction between matrine and core targets was evaluated by molecular docking technique.The effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on the proliferation of uveal melanoma cells were evaluated based on CCK-8 method.Western blot was used to verify the regulatory effects of different concentrations of matrine(0.25 g/L,0.50 g/L,1.00 g/L,2.00 g/L)on PI3K-Akt signaling pathway.Results A total of 208 potential targets of matrine were identified,and 5 453 targets related to uveal melanoma were obtained.The topological analysis of PPI network revealed 8 core targets,namely interleukin-6(IL-6),tumor necrosis factor(TNF),myelocytomatosis proteins(MYC),signal transducer and activator of transcription 3(STAT3),caspase-3(CASP3),heat shock protein 90AB1(HSP90AB1),mammalian target of rapamycin(mTOR),and matrix metalloproteinase 9(MMP9).GO enrichment analysis showed that biological processes(BP)mainly included inflammatory response,protein phosphorylation and response to exogenous stimuli;cell components(CC)mainly included plasma membrane,cell surface and cytoplasm;molecular function(MF)mainly included the same protein binding,ATP binding and kinase activity.The enrichment analysis of KEGG pathway showed that the effect of matrine was mediated by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway.Molecular docking showed that matrine had good binding ability with the selected core targets.The results of cell experiments showed that matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could inhibit the proliferation of MuM2B cells,and the cell survival rate gradually decreased with the increase of concentration.Matrine at concentrations of 0.50 g/L,1.00 g/L and 2.00 g/L could down-regulate the protein expression levels of p-PI3K and p-Akt,and the protein expression levels of p-PI3K and p-Akt gradually decreased with the increase of concentration.Conclusion Matrine acts on tar-gets such as IL-6,TNF,MYC,STAT3,CASP3,HSP90AB1,mTOR,MMP9,and exerts therapeutic effects on uveal melanoma by viral carcinogenesis,cancer pathway,TNF signaling pathway and PI3K-Akt signaling pathway,etc.

Aim To explore the mechanism of rhein in the treatment of IgA nephropathy in rats by impro-ving spleen immune function based on mTORC1 path-way.Methods Thirty-two SD rats were randomly di-vided into control group,model group(IgAN),rhein group(RH)and rapamycin group.The deposition of IgA in mesangial region and pathological changes of spleen and kidney were observed,and the ratio of Th/Ts in spleen was determined by immunohistochemical method.The protein expressions of p-mTOR,p-p70S6k,TGF-β1 and TNF-α in spleen were detected by Western blot.Results Compared with the control group,IgAN group significantly increased urinary sludge red blood cell count,24 hour urinary total pro-tein,serum creatinine,blood urea nitrogen,serum IgA,Th/Ts,p-mtor,p-P70S6K and spleen TNF-αprotein expression levels(P＜0.01),and spleen TGF-β1 protein expression(P＜0.05).IgA deposi-tion in mesangial area of the kidney increased signifi-cantly,and pathological changes were observed in spleen and kidney.Compared with IgAN group,urine sludge red blood cell count,serum IgA,Th/Ts,p-mTOR,p-P70S6K and TNF-α protein expression lev-els in RH and RAPA groups were significantly reduced(P＜0.01).24 hour urinary total protein,blood urea nitrogen,serum creatinine and spleen TGF-β1 protein decreased(P＜0.05),the deposition of IgA in the mesangial region of the kidney decreased,and the pathological changes of spleen and kidney were allevia-ted.There was no significant difference between RH group and RAPA group.Conclusions RH can allevi-ate IgA nephropathy by inhibiting the activity of m-TORC1 pathway in the spleen of IgA nephropathy rats,thereby inhibiting the differentiation of splenic lympho-cytes and reducing the secretion of IgA.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.

GPR126, also known as ADGRG6, is one of the most deeply studied aGPCRs. Initially, GPR126 was thought to be a receptor associated with muscle development and was primarily expressed in the muscular and skeletal systems. With the deepening of research, it was found that GPR126 is expressed in multiple mammalian tissues and organs, and is involved in many biological processes such as embryonic development, nervous system development, and extracellular matrix interactions. Compared with other aGPCRs proteins, GPR126 has a longer N-terminal domain, which can bind to ligands one-to-one and one-to-many. Its N-terminus contains five domains, a CUB (complement C1r/C1s, Uegf, Bmp1) domain, a PTX (Pentraxin) domain, a SEA (Sperm protein, Enterokinase, and Agrin) domain, a hormone binding (HormR) domain, and a conserved GAIN domain. The GAIN domain has a self-shearing function, which is essential for the maturation, stability, transport and function of aGPCRs. Different SEA domains constitute different GPR126 isomers, which can regulate the activation and closure of downstream signaling pathways through conformational changes. GPR126 has a typical aGPCRs seven-transmembrane helical structure, which can be coupled to Gs and Gi, causing cAMP to up- or down-regulation, mediating transmembrane signaling and participating in the regulation of cell proliferation, differentiation and migration. GPR126 is activated in a tethered-stalk peptide agonism or orthosteric agonism, which is mainly manifested by self-proteolysis or conformational changes in the GAIN domain, which mediates the rapid activation or closure of downstream pathways by tethered agonists. In addition to the tethered short stem peptide activation mode, GPR126 also has another allosteric agonism or tunable agonism mode, which is specifically expressed as the GAIN domain does not have self-shearing function in the physiological state, NTF and CTF always maintain the binding state, and the NTF binds to the ligand to cause conformational changes of the receptor, which somehow transmits signals to the GAIN domain in a spatial structure. The GAIN domain can cause the 7TM domain to produce an activated or inhibited signal for signal transduction, For example, type IV collagen interacts with the CUB and PTX domains of GPR126 to activate GPR126 downstream signal transduction. GPR126 has homology of 51.6%-86.9% among different species, with 10 conserved regions between different species, which can be traced back to the oldest metazoans as well as unicellular animals.In terms of diseases, GPR126 dysfunction involves the pathological process of bone, myelin, embryo and other related diseases, and is also closely related to the occurrence and development of malignant tumors such as breast cancer and colon cancer. However, the biological function of GPR126 in various diseases and its potential as a therapeutic target still needs further research. This paper focuses on the structure, interspecies differences and conservatism, signal transduction and biological functions of GPR126, which provides ideas and references for future research on GPR126.

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.

Objective:Invasive pulmonary mucormycosis(PM)is a rare but highly lethal opportunistic infection.COVID-19 associated mucormycosis(CAM)is difficult to diagnose,often leading to misdiagnosis or missed diagnosis,and has poor treatment outcomes.This study reports a case of successfully treated CAM and explores optimized diagnostic and therapeutic strategies.Methods:A retrospective analysis of the diagnosis and treatment process in a 50-year-old female patient with COVID-19 associated with diabetic ketoacidosis(DKA)and invasive pulmonary mucormycosis was conducted.Combined with a literature review,the therapeutic efficacy of local bronchoscopic instillation in conjunction with systemic treatment using liposomal Amphotericin B(L-AmB)was specifically evaluated.Results:The patient was rapidly diagnosed with Rhizopus microsporus infection through metagenomic next-generation sequencing(mNGS).She subsequently received antifungal treatment with intravenous L-AmB combined with local bronchoscopic instillation.After treatment,the patient was significantly improved,with imaging studies showing gradual absorption of the lesions.Follow-up at six months revealed no recurrence.A literature review suggests that early diagnosis and multimodal therapy are key to improving survival rates in patients with CAM.Conclusion:mNGS can significantly improve the early diagnosis rate of CAM.The combination of local and systemic treatment with L-AmB is valuable in improving prognosis.Early diagnosis,multimodal antifungal therapy,and individualized management are key to increasing the survival rate of patients with CAM.