Objective To investigate the epidemiological characteristics of malaria and provide a basis for developing improved prevention and control measures. Methods Data were obtained from the Chinese Disease Prevention and Control Information System. Malaria surveillance data for Nanning City from January 1,2023, to December 31,2024, were exported from the Infectious Disease Reporting Information Management Subsystem. The characteristics of the two groups of malaria cases were compared. Results A total of 103 imported malaria cases were reported in Nanning City in 2024, representing a 38.32% decrease compared with the same period of the previous year. No statistically significant difference were observed between cases reported in 2023 and 2024 in terms of average age, gender ratio, proportion of parasite species, and monthly reporting distribution;however, statistically significant differences were found in the proportion of reporting areas and current residence areas(χ2= 13.572 and 10.355, respectively; P = 0.001 and 0.035, respectively). The proportion of cases reported in Shanglin County and the proportion of cases residing in Shanglin County were both lower than those during the same period of the previous year. Conclusions The high aggregation of imported malaria cases in Nanning City has decreased. Medical institutions in areas other than Shanglin County should strengthen their vigilance against malaria.

Objective:To explore the association of 21-gene recurrence score (RS) and clinicopathologic characteristics of hormone receptor (HR) positive T1-3N1M0 breast cancer and its value in prognosis evaluation.Methods:The clinicopathological data of 287 patients with T1-3N1M0 breast cancer were collected, the 21-gene assay was completed, and follow-up was conducted. According to the 21-gene RS, the patients were divided into the RS<26 and RS≥26 groups. The relationship between the 21-gene RS and clinicopathological characteristics, treatment, recurrence, and metastasis was analyzed. Univariate and multivariate statistical analyses were used to analyze the risk factors for disease free survival (DFS).Results:The median RS of the 287 patients was 16. There were 240 cases with RS <26 and 47 cases with RS≥26. Tumor size, grade, estrogen receptor (ER), progesterone receptor (PR), and Ki-67 index were significantly different between the two cohorts ( P<0.05 for all). After a median follow-up of 74 months, the recurrence rate in the RS<26 group (8.3%) was significantly lower than that in the RS≥26 group (23.4%), the locoregional recurrence (LRR) rates in the RS<26 and RS≥26 groups were 2.1% and 0%,and the distant metastasis (DM) rates were 6.3% and 23.4%, respectively. The 5-year relapse free survival (RFS) rates of patients with RS<26 and RS≥26 were 93.8% (95% CI: 90.7%-96.9%) and 87.2% (95% CI: 78.2%-97.3%), and the 5-year DFS rates were 92.1% (95% CI: 88.7%-95.6%) and 85.1% (95% CI: 75.5%-95.9%), respectively, with significant differences between the two cohorts ( P=0.007 and P=0.006, respectively). Univariate analysis showed age, tumor size, grade, PR status, Ki-67 index and RS were prognostic factors for DFS ( P<0.05 for all). Multivariate analysis showed that age and tumor size were independent significant predictors for DFS ( P<0.05). Conclusions:The 21-gene RS of T1-3N1M0 breast cancer is related to tumor size, grade, ER, PR, and Ki-67 index. RS is an important factor affecting DM and DFS.

Objective To study the effect of medial collateral ligament(MCL)release on the squatting motion followling total knee arthroplasty(TKA)and provide reference data for ligament release during knee replacement surgery.Methods Based on CT and MRI images of a volunteer,a three-dimensional(3D)geometric anatomical model of the natural knee joint including bone tissues and major soft tissues was established.A finite element model of the artificial knee joint was established by simulating TKA surgery.The squatting motion after 30％release of the upper end,lower end,and both ends of the MCL was simulated,and motion characteristic data of the knee joint at flexion/extension angles from 0° to 135° were obtained.Results The effects of ligament release at different locations on knee squatting motion varied.After releasing the lower end,the medial translation,posterior translation,superior translation,and adduction of the femur relative to the tibia increased by 13.74％,3.83％,9.74％,and 2.37％,respectively,while the external rotation decreased by 36.8％.After releasing the upper end,the medial translation and posterior translation increased by 10.65％and 10％,respectively,while the superior translation,adduction,and external rotation decreased by 4.52％,33.89％,and 67.1％,respectively.After releasing both ends,the medial translation,posterior translation,and superior translation increased by 14.77％,9.39％,and 22.56％,respectively,while the adduction and external rotation decreased by 15.62％and 47.3％,respectively.Conclusions After MCL released,the medial translation,anterior translation,superior translation,and abduction of the femur relative to the tibia increased,while the external rotation decreased.Releasing the lower end had the least effect on these femoral movements,showing an obvious advantage.

Objectives:To investigate the predictive value of epicardial fat volume(EFV)and atrioventricular groove fat thickness(AVGT)—morphological biomarkers of epicardial adipose tissue—for major adverse cardiovascular events(MACE)in patients with dilated cardiomyopathy(DCM).Methods:This study enrolled 216 DCM patients.EFV and AVGT were obtained from cardiac magnetic resonance imaging(CMR).Patients were divided into event-free group(n=142)and event group(n=74)based on MACE occurrence during follow-up.Receiver operating characteristic(ROC)curve analysis was used to determine optimal cutoff values.Survival differences were assessed using Kaplan-Meier analysis,Cox proportional hazards regression analysis was used to identify independent risk factors,and restricted cubic spline(RCS)models were used to evaluate dose-response relationships.Results:AVGT and EFV were significantly higher in the event group than in event-free group(both P<0.05).ROC analysis identified optimal MACE-predicting cutoffs as follows:AVGT≥7.74 mm(area under the curve[AUC]=0.57)and EFV≥78.6 ml(AUC=0.62).Kaplan-Meier analysis revealed significantly lower MACE-free survival rates in patients with AVGT≥7.74 mm and EFV≥78.6 ml(both P<0.05).Cox regression analysis confirmed that AVGT(HR=2.18,95%CI:1.34-3.54)and EFV(HR=1.81,95%CI:1.11-2.96)were independent MACE risk factors(both P<0.05)in this patient cohort.RCS models demonstrated the significant linear associations between EFV/AVGT and MACE risk(bothoverall P<0.05).Conclusions:EFV and AVGT,the non-invasive imaging biomarkers quantifying and characterizing fat distribution,are independently correlated with elevated MACE risk in DCM patients.These metrics serve as potential prognostic indicators,enriching risk stratification indicators for early identification of high-risk patients and guiding personalized medication strategies.

Although chronic neuroinflammation has been established as one of core pathological hallmarks of Alzheimer disease(AD),its role in AD pathological mechanisms still remains elusive.The glia-derived inflammatory mediator chitinase-3-like protein 1(CHI3L1,also known as YKL-40)regulates key pathological processes including neuroinflammation,neuronal degeneration,and cell death.Evidence confirms that YKL-40 promotes the progression of AD core pathology through inhibiting amyloid plaque clearance and enhancing neuronal toxicity.Its expression levels is significantly correlated with early detection,disease severity,and clinical prognosis.A thorough understanding of the relationship between YKL-40 and AD not only deepen our insight into neuroinflammatory mechanisms in AD pathogenesis but also highlights its dual clinical applicability as a novel biomarker and therapeutic target,thereby providing an important direction for development of advanced diagnostic and treatment strategies for AD.

Peripheral nerve injury (PNI) is one of the most common issues among trauma patients.Treatment strategies for PNI typically involve surgical repair,rehabilitation therapy and medication management,but may still not achieve the expected therapeutic outcome. Following nerve injury,Schwann cells clear cellular debris,release growth-promoting factors and provide guidance support that promotes the regrowth of damaged nerve fibersand its reconnection to target tissues. The release of transforming growth factor beta (TGF-β) to the injury site after PNI can induce the transformation of astrocytes to an A2 phenotype,thereby upregulating the expression of neurotrophic factors. Meanwhile,TGF-β can initiate a series of phenotypic changes in Schwann cells,modulate immune cells,and activate the innate growth potential of neurons,thereby enhancing nerve regeneration potential. TGF-β can also promote angiogenesis,maintain the integrity of the blood-nerve barrier and enhance its permeability,thereby providing a beneficial microenvironment for nerve regeneration by inhibiting inflammation. This paper reviews the potential roles of TGF-β in peripheral nerve regeneration and investigates the underlying mechanisms,in order to provide new insights for better treatment of PNI.

Although chronic neuroinflammation has been established as one of core pathological hallmarks of Alzheimer disease(AD),its role in AD pathological mechanisms still remains elusive.The glia-derived inflammatory mediator chitinase-3-like protein 1(CHI3L1,also known as YKL-40)regulates key pathological processes including neuroinflammation,neuronal degeneration,and cell death.Evidence confirms that YKL-40 promotes the progression of AD core pathology through inhibiting amyloid plaque clearance and enhancing neuronal toxicity.Its expression levels is significantly correlated with early detection,disease severity,and clinical prognosis.A thorough understanding of the relationship between YKL-40 and AD not only deepen our insight into neuroinflammatory mechanisms in AD pathogenesis but also highlights its dual clinical applicability as a novel biomarker and therapeutic target,thereby providing an important direction for development of advanced diagnostic and treatment strategies for AD.

Objectives:To investigate the predictive value of epicardial fat volume(EFV)and atrioventricular groove fat thickness(AVGT)—morphological biomarkers of epicardial adipose tissue—for major adverse cardiovascular events(MACE)in patients with dilated cardiomyopathy(DCM).Methods:This study enrolled 216 DCM patients.EFV and AVGT were obtained from cardiac magnetic resonance imaging(CMR).Patients were divided into event-free group(n=142)and event group(n=74)based on MACE occurrence during follow-up.Receiver operating characteristic(ROC)curve analysis was used to determine optimal cutoff values.Survival differences were assessed using Kaplan-Meier analysis,Cox proportional hazards regression analysis was used to identify independent risk factors,and restricted cubic spline(RCS)models were used to evaluate dose-response relationships.Results:AVGT and EFV were significantly higher in the event group than in event-free group(both P<0.05).ROC analysis identified optimal MACE-predicting cutoffs as follows:AVGT≥7.74 mm(area under the curve[AUC]=0.57)and EFV≥78.6 ml(AUC=0.62).Kaplan-Meier analysis revealed significantly lower MACE-free survival rates in patients with AVGT≥7.74 mm and EFV≥78.6 ml(both P<0.05).Cox regression analysis confirmed that AVGT(HR=2.18,95%CI:1.34-3.54)and EFV(HR=1.81,95%CI:1.11-2.96)were independent MACE risk factors(both P<0.05)in this patient cohort.RCS models demonstrated the significant linear associations between EFV/AVGT and MACE risk(bothoverall P<0.05).Conclusions:EFV and AVGT,the non-invasive imaging biomarkers quantifying and characterizing fat distribution,are independently correlated with elevated MACE risk in DCM patients.These metrics serve as potential prognostic indicators,enriching risk stratification indicators for early identification of high-risk patients and guiding personalized medication strategies.

Objective To study the effect of medial collateral ligament(MCL)release on the squatting motion followling total knee arthroplasty(TKA)and provide reference data for ligament release during knee replacement surgery.Methods Based on CT and MRI images of a volunteer,a three-dimensional(3D)geometric anatomical model of the natural knee joint including bone tissues and major soft tissues was established.A finite element model of the artificial knee joint was established by simulating TKA surgery.The squatting motion after 30％release of the upper end,lower end,and both ends of the MCL was simulated,and motion characteristic data of the knee joint at flexion/extension angles from 0° to 135° were obtained.Results The effects of ligament release at different locations on knee squatting motion varied.After releasing the lower end,the medial translation,posterior translation,superior translation,and adduction of the femur relative to the tibia increased by 13.74％,3.83％,9.74％,and 2.37％,respectively,while the external rotation decreased by 36.8％.After releasing the upper end,the medial translation and posterior translation increased by 10.65％and 10％,respectively,while the superior translation,adduction,and external rotation decreased by 4.52％,33.89％,and 67.1％,respectively.After releasing both ends,the medial translation,posterior translation,and superior translation increased by 14.77％,9.39％,and 22.56％,respectively,while the adduction and external rotation decreased by 15.62％and 47.3％,respectively.Conclusions After MCL released,the medial translation,anterior translation,superior translation,and abduction of the femur relative to the tibia increased,while the external rotation decreased.Releasing the lower end had the least effect on these femoral movements,showing an obvious advantage.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.