BACKGROUND:When cultivating cells with high demand for structure and oxygen,it is necessary to construct a three-dimensional biological scaffold with hollow pipe structure to make sure the cells get enough nutrients and oxygen.In recent years,hydrogel tissue engineering scaffolds with hollow pipe structure have been paid more and more attention.OBJECTIVE:The biological scaffold material based on sodium alginate was combined with coaxial printing technology to prepare a tissue engineering scaffold with a hollow pipe structure,and the cells were inoculated by perfusion to verify its biological properties.METHODS:The sodium alginate-acrylamide mixed printing solution was prepared,and the parameters such as the printing speed of the inner and outer layers in the coaxial printing process,sodium alginate concentration,and calcium chloride concentration in the receiving dish were controlled to realize the printing of the tissue engineering scaffold with a hollow pipe—sodium alginate-polyacrylamide double-crosslinked hydrogel.The microstructure and elastic modulus of the scaffold were characterized.Mouse fibroblasts were injected into hollow pipes of tissue engineering scaffolds.Cell compatibility was observed by living/dead cell staining.RESULTS AND CONCLUSION:(1)By exploring the printing parameters in the printing process,when the inner printing speed was constant,the outer diameter of the hollow pipe increased with the increase of the flow rate of the outer printing solution,and the inner diameter increased slightly.When the flow rate of the outer layer printing solution was constant,and the flow rate of the inner layer solution was increased,the outer diameter of the hollow pipe was basically unchanged,and the inner diameter was significantly improved.(2)Experimental results showed that the concentration of sodium alginate was 2.5%.Excessive concentration was not conducive to the fusion of multi-layer structure layers,and the mechanical properties of hydrogels prepared at too low concentration were insufficient.(3)The elastic modulus of the double-crosslinked hydrogel was higher,generally higher than 200 kPa,and increased with the increase of the concentration of calcium chloride,and reached the maximum value of 375 kPa when the concentration of calcium chloride in the inner layer was 2%and the concentration of calcium chloride in the receiving dish was 0.3%.(4)The staining of live and dead cells after the tissue engineering scaffold perfusion cells in vitro showed that the cells were distributed along the axis of the hollow pipe and had a higher survival rate,but the cell concentration was lower than that during perfusion.(5)The results show that the sodium alginate-polyacrylamide double-crosslinked hydrogel has strong mechanical properties while retaining good biocompatibility,and can be used in the construction of tissue engineering scaffolds with hollow pipes,and the method of"first preparing the scaffold,then inoculating the cells"also avoids the traditional"cells and printing solution are mixed and then prepared"method to limit the scaffold material and processing method.

OBJECTIVE: To explore the clinical and genetic characteristics of a Chinese pedigree affected with Hypertrophic cardiomyopathy (HCM) due to a truncating variant of ALPK3 gene. METHODS: A 44-year-old male admitted to Taizhou Hospital of Zhejiang Province on December 29, 2018 was selected as the study subject. Whole-exome sequencing (WES) was carried out, and candidate variant was interpreted by following the guidelines from the American College of Medical Genetics and Genomics (ACMG). For ALPK3 was considered an autosomal recessive gene, the WES results was considered insufficient to explain his phenotype. In April 2023, the proband's WES data were re-analyzed using updated annotation pipelines, and peripheral blood samples were collected from his first-degree relatives (mother and brother) for Sanger sequencing validation. Conservation analysis and protein structural modeling were performed to assess the impact of the variant. Clinical evaluation and genetic counseling were provided to the proband's family members. Relevant literature on ALPK3tv-induced HCM patients were searched in Wanfang Data Knowledge Service Platform, CNKI, and PubMed database using "ALPK3" and "hypertrophic cardiomyopathy" as keywords. Clinical characteristics of HCM patients with heterozygous ALPK3tv variants were summarized and compared with the clinical characteristics of HCM patients with positive sarcomere-associated gene variants (SARC+). This study was approved by the Medical Ethics Committee of Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University (Ethics No.: K20230314). RESULTS: The proband was a 44-year-old male who was transferred to our institution on December 29, 2018 due to "chest tightness and pain for 6 months, exacerbated for 2 days". Emergency coronary angiography was performed, which led to a preliminary diagnosis of "acute coronary syndrome", and the patient was admitted to the Cardiology Department for treatment. Based on electrocardiogram and echocardiogram findings, the diagnosis was revised as HCM. The patient's condition has stabilized post-coronary angiography, and he was discharged with improved condition. On January 2019, WES was conducted to determine the etiology of the proband's HCM. WES results identified a novel heterozygous c.2156dupC (p.Pro720ThrfsTer53) truncating variant in the ALPK3 gene. At that time, the inheritance pattern could not explain the phenotype. In 2022, a literature indicated that heterozygous ALPK3tv could lead to autosomal dominant HCM. Consequently, in April 2023, the proband's whole-exome data were re-annotated, revealing changes in the transcript and protein versions, with the updated site annotated as ALPK3 (NM_020778.5): c.1550dupC (p.Pro518ThrfsTer53). Sanger sequencing confirmed that the proband's mother and brother also carried this variant. The mother exhibited obstructive HCM, while the brother showed no related phenotype. Bioinformatics analysis demonstrated conservation of this site across multiple species, and the variant has resulted in the loss of a protein domain. Based on ACMG guidelines, the variant was classified as likely pathogenic. Literature review and Bayesian calculation further elevated the pathogenicity rating, indicating that this variant was the cause of HCM in the patient. Literature study revealed distinctions between HCM caused by this variant type and SARC+ HCM. The age of onset among heterozygous ALPK3tv patients was delayed by approximately 10 years compared to SARC+ patients. Both forms of HCM exhibited a male predominance, which was particularly marked in individuals with ALPK3tv. Electrocardiographic left ventricular hypertrophy was more prevalent in heterozygous ALPK3tv patients than in SARC+ patients. The incidence of apical or concentric hypertrophy patterns was higher in heterozygous ALPK3tv patients compared to asymmetric septal hypertrophy, which predominated in SARC+ patients. ALPK3tv patients exhibited lower penetrance and later onset compared to SARC+ patients. A positive correlation between left ventricular wall thickness and age was noted in female patients only. CONCLUSION In this pedigree, the proband has presented with HCM, characterized by echocardiographic evidence of apical left ventricular hypertrophy without significant outflow tract obstruction or extracardiac phenotypes. Although his mother and brother had carried the same heterozygous ALPK3 (NM_020778.5) c.1550dupC (p.Pro518ThrfsTer53), the mother exhibited severe obstructive HCM, while the brother was asymptomatic, suggesting incomplete or age-dependent penetrance within the family. This study has enriched the evidence for the pathogenicity of ALPK3tv among Chinese HCM pedigrees and underscored the importance of periodic literature reviews and genetic re-analysis for unresolved genetic testing results.
Humans ; Male ; Pedigree ; Adult ; Cardiomyopathy, Hypertrophic/genetics* ; Heterozygote ; Asian People/genetics* ; Exome Sequencing ; Mutation ; China ; Female ; East Asian People

This study investigates the neuroprotective potential of extracellular vesicles (EVs) delivering quercetin-3-O-β-d-glucuronic acid (QG-EVs) in cerebral ischemia-reperfusion injury (CIRI). Targeted brain delivery of QG-EVs was confirmed, with neuron cells identified as pivotal in modulating CIRI through single-cell RNA sequencing (scRNA-seq). Activating transcription factor 4 (Atf4) was highlighted as a critical regulatory factor, and in vitro studies revealed that silencing Atf4 diminished the neuroprotective effects of QG-EVs, increasing oxidative stress levels and neuronal apoptosis. In a CIRI mouse model, the knockdown of Atf4 attenuated the protective outcomes provided by QG-EVs, further affirming the role of Atf4 in mediating neuroprotection. Behavioral assessments and protein analysis showed that QG-EVs significantly reduced neuronal damage and pro-apoptotic markers, while improving neurological function via Atf4 upregulation. The outcomes hint at the potential of QG-EVs as a beneficial therapeutic modality to mitigate neuronal damage in CIRI by enhancing Atf4 expression, highlighting its potential for improving ischemic stroke outcomes.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

Objective:To compare the diagnostic efficacy of 68Ga-prostate-specific membrane antigen (PSMA)-617 PET/CT and multiparametric magnetic resonance imaging (mpMRI) in detecting extraprostatic extension (EPE) and seminal vesicle invasion (SVI) in prostate cancer. Methods:A retrospective analysis was conducted on the clinical data of 113 patients with localized prostate cancer who underwent both 68Ga-PSMA-617 PET/CT and mpMRI at Xiangya Hospital, Central South University, from May 2018 to May 2024 prior to radical prostatectomy (RP). The median age of the patients was 66.0 (61.3, 71.0) years old, with a median body mass index of 28.86 (19.01, 24.77) kg/m 2, and a median prostate-specific antigen (PSA) level of 13.50(9.26, 21.99) ng/ml. The pathological results after RP were used as the gold standard to compare the sensitivity, specificity, positive predictive value, and negative predictive value of the two imaging modalities in diagnosing EPE and SVI. Additionally, the diagnostic value of combining both imaging modalities was explored, employing a parallel strategy where a positive result from either modality was deemed positive, and only when both tests were negative was the result considered negative. Results:Pathological results after RP indicated EPE in 46 cases (40.71%) and SVI in 11 cases (9.70%). In diagnosing EPE, the sensitivity, specificity, positive predictive value, and negative predictive value of 68Ga-PSMA-617 PET/CT were 17.39% (8/46), 97.01% (65/67), 80.00% (8/10), and 63.11% (65/103), respectively, while for mpMRI they were 34.78% (16/46), 83.58% (56/67), 59.26% (16/27), and 65.12% (56/86), respectively. The sensitivity of mpMRI was significantly higher than that of 68Ga-PSMA-617 PET/CT ( P=0.048), while the specificity was the opposite ( P=0.008). When combining both imaging modalities, the sensitivity, specificity, positive predictive value, and negative predictive value were 45.65% (21/46), 80.60% (54/67), 61.76% (21/34), and 68.35% (54/79), respectively. In diagnosing SVI, the sensitivity, specificity, positive predictive value, and negative predictive value of 68Ga-PSMA-617 PET/CT were 27.27% (3/11), 96.08% (98/102), 42.86% (3/7), and 92.45% (98/106), respectively, while for mpMRI they were 36.36% (4/11), 88.24% (90/102), 25.00% (4/16), and 92.78% (90/97), respectively. The specificity of 68Ga-PSMA-617 PET/CT was significantly higher than that of mpMRI ( P=0.033). When combining both imaging modalities, the sensitivity, specificity, positive predictive value, and negative predictive value were 45.45% (5/11), 85.29% (87/102), 25.00% (5/20), and 93.55% (87/93), respectively. Conclusions:mpMRI has higher sensitivity in diagnosing EPE and SVI in prostate cancer, while 68Ga-PSMA-617 PET/CT shows higher specificity. The combined use of both imaging modalities can increase diagnostic sensitivity but may reduce specificity. PSMA PET/MRI may be a more accurate diagnostic tool for discerning EPE and SVI.

Objective:To understand the development status of maternal and child health care institutions in China from 2012 to 2022, identify the challenges they face, and provide references for further promoting the high-quality development of these institutions.Methods:Data from the China Health Statistics Yearbook (2013—2015), China Health and Family Planning Statistics Yearbook (2016—2017), and China Health and Wellness Statistics Yearbook (2018—2023) were used. Descriptive analysis was conducted on the data related to resource allocation and utilization efficiency, service provision, income and expenditure structure, and operational status of maternal and child health care institutions in China from 2012 to 2022, using methods such as fixed-base growth rate, year-on-year growth rate, and average annual growth rate. Results:From 2012 to 2022, the number of maternal and child health care institutions in China decreased from 3 044 to 3 031. In terms of resource allocation, the average annual growth rates of bed numbers and business-use floor area were 5.404% and 10.923%, respectively, while the average annual growth rate of health professionals was 7.183%. Regarding service provision, the average annual growth rates of outpatient visits and inpatient admissions were 3.954% and 1.572%, respectively. In terms of service efficiency, the bed occupancy rate decreased from 76.9% to 53.9%, and the average number of patients seen per physician per day decreased from 8.85 to 7.30. In terms of income and expenditure and operations, the income-expenditure surplus rate decreased from 9.16% to 5.41%, and the debt-to-asset ratio increased from 27.88% to 33.60%. During the same period, the average annual growth rates of bed numbers and business-use floor area in grassroots maternal and child health care institutions were 4.545% and 10.091%, respectively, lower than the national average. The number of outpatient visits increased from 89.03 million to 126.93 million, with an average annual growth rate of 3.610%, while the number of inpatient admissions decreased from 4.19 million to 3.91 million, with an average annual decline of 0.689%. The income-expenditure surplus rate of grassroots institutions decreased from 7.76% to 4.05%, 1.36 percentage points lower than the national level, and the debt-to-asset ratio increased from 27.53% to 36.37%, higher than the overall level.Conclusions:From 2012 to 2022, maternal and child health care institutions in China achieved certain developments in resource allocation and service scale. However, several challenges remain, including unbalanced resource allocation, decreased utilization efficiency, slowed growth in medical service volume, imbalanced income and expenditure structure, increased asset operation risks, and restricted development of grassroots institutions. It is recommended that relevant management departments and maternal and child health care institutions optimize resource allocation, plan for service transformation and upgrading, expand income sources, strengthen internal financial control, and reinforce the construction of high-quality and efficient maternal and child health care systems to promote the high-quality development of maternal and child health care institutions in China.

Objective To understand the epidemiological characteristics of burns and scalds in a sentinel hospital for na-tional injury surveillance in Guangzhou,and to provide a scientific basis for developing precise and effective prevention strategies.Methods Data on burn and scald cases from the outpatient and emergency departments of a sentinel injury surveillance hospital in Guangzhou from 2022 to 2024 were collected,and epidemiological characteristics were analyzed.Results A total of 19 303 burn and scald cases were reported during 2022-2024,with a male-to-female ratio of 1∶1.29.The majority of cases occurred in young and middle-aged adults(51.40％).Across all age groups,the top three locations where burns and scalds occurred were homes(60.14％),industrial and construction sites(30.74％),and public places(5.12％).Burns and scalds in preschool children predominantly occurred at home,mostly during leisure activities,while in young adults and the elderly,they were mainly associated with household chores and leisure activities.Unintentional injuries accounted for the vast majority of cases(99.45％).Analysis of age-specific outcomes of burns and scalds showed that the proportion of preschool children discharged af-ter treatment decreased(19.10％,AR=-5.08),while the proportion hospitalized increased(25.98％,AR=4.66).Conclu-sion This study indicates that homes are the primary location for burns and scalds in Guangzhou,with preschool children being particularly vulnerable during leisure activities at home.Preschool children should be the key target group for burn and scald pre-vention and control efforts.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.