OBJECTIVE: To explore the genotype-phenotype correlation in a Chinese family with structural brain abnormalities due to variant of the TUBB gene. METHODS: A family undergoing prenatal diagnosis at Beijing Obstetrics and Gynecology Hospital in October 2024 was selected as the study subject. Clinical data were collected. Amniotic fluid sample was subjected to chromosomal copy number variation sequencing (CNV-seq). Trio whole-exome sequencing (Trio-WES) was carried out on the amniotic fluid and parental blood samples, and candidate variant was verified by Sanger sequencing. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: 2023-KY-076-01). RESULTS: Both prenatal ultrasound and fetal MRI showed deviation of brain midline, unilateral lateral ventriculomegaly, and bilateral gyral asymmetry. Trio-WES revealed that the fetus has harbored a maternally derived heterozygous missense variant of the TUBB gene [NM_178014.4: c.155A>G (p.N52S)]. Sanger sequencing confirmed that the woman and a previously terminated fetus both harbored the same variant. Both the proband and two fetuses exhibited similar neuroimaging abnormalities including midline deviation and asymmetrical gyri. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the variant was classified as likely pathogenic (PM2_Supporting+PS2_Moderate+PS3). CONCLUSION The heterozygous c.155A>G (p.N52S) variant was the TUBB gene probably underlay the pathogenesis of the structural brain abnormalities in this family. Above findings have expanded the phenotypic spectrum associated with the variant and facilitated the prenatal diagnosis for this family.
Humans ; Female ; Pregnancy ; Prenatal Diagnosis ; Tubulin/genetics* ; Adult ; Brain/diagnostic imaging* ; Male ; Pedigree ; DNA Copy Number Variations/genetics* ; Exome Sequencing ; Genetic Association Studies ; Magnetic Resonance Imaging

Objective:To summarize the evidence for the application and management of continuous glucose monitoring, providing evidence-based support for the clinical application and management.Methods:BMJ Best Clinical Practice, UpToDate, Cochrane Library, Embase, China National Knowledge Infrastructure (CNKI), Wanfang and other databases, Yimaitong and and other guide networks, and diabetes related association websites were searched for the application and management of continuous glucose monitoring, the search time limit was from the establishment of the database to July 7, 2024. Researchers evaluated the quality of the included literature, extracted and summarized the evidence based on the topic.Results:A total of 13 articles were included, including 5 guidelines, 5 expert consensuses, 1 systematic review and 2 randomized controlled trials. The best evidences for the application and management of continuous glucose monitoring were summarized, including 3 themes and 13 aspects, practice norms (before, during, and after wearing), application norms, management norms (personnel, systems, information, materials, methods), with 31 pieces of evidence.Conclusions:This study summarized the evidences for the application management of continuous glucose monitoring, which could standardize the operation process of continuous glucose monitoring, provide response strategies for related nursing issues, and ensure that there were unified and clear management standards to follow.

Objective:To investigate the pathogenetic characteristics of clinical isolates of Streptococcus suis in Henan Province from 2020 to 2023. Methods:Eight clinical isolates of S. suis in Henan Province from 2020 to 2023 were identified using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) and real-time fluorescence polymerase chain reaction (PCR). Serotype and virulence genes were detected by the serum agglutination test and PCR, and antibiotic susceptibility was evaluated using the microbroth dilution method. Multilocus sequence typing (MLST), minimum core genome (MCG), identification of antibiotic resistance genes, and core genome single nucleotide polymorphism (cgSNP) analysis were conducted using whole genome sequencing. Results:The results showed that eight S. suis strains isolated from humans were mainly serotype 2 (75.0%), while the rest were serotype 14 (25.0%). ST353 (62.5%) was the predominant genotype, followed by ST1 (25.0%) and ST7 (12.5%). All isolates belonged to the MCG1 group. The virulence genotypes of these isolates were primarily mrp(NA2)/ sly+/ ef+/ gapdh+(75.0%), while the remaining were mrp(EU)/ sly+/ ef+/ gapdh+(25.0%). These isolates carried tetracycline, macrolide, lincosamide and aminoglycoside resistance genes, and their resistance rates to tetracycline, erythromycin and clindamycin were 100.0%, 87.5% and 87.5%, respectively, and 62.5% strains were intermediate-resistant to penicillin. The cgSNP analysis indicated that these isolates were closer to the isolates from Guangdong, Zhejiang and Guangxi Provinces, with five ST353 strains and one ST7 strain belonging to Clade Ⅰ, and two ST1 strains belonging to Clade Ⅱ. Conclusion:The human isolates of S. suis in Henan Province are mainly ST353, harboring multiple virulence and antibiotic resistance genes.

Objective To investigate the current symptom status of maintenance hemodialysis(MHD)patients,analyze the influencing factors from the perspective of multidimensional symptom burden,extract symptom groups,and construct a symptom network.Methods A total of 490 patients who received MHD at the blood purification center of a tertiary hospital in Shanghai from March to April 2025 were selected using a convenience sampling method.30 symptoms of MHD patients were investigated using a modified dialysis symptom index table.SPSS and R software were utilized to analyze the influencing factors,extract symptom groups,and construct a multidimensional symptom network.Results A total of 488 valid questionnaires were collected,with a valid questionnaire recovery rate of 99.59％.The median number of symptoms experienced by patients was 6(interquartile range:4,8),with the top 5 symptoms being dry skin(69.88％),fatigue or tiredness(56.97％),itching(56.97％),worry(50.20％),and dry mouth(46.31％).Multidimensional analysis indicated that age,duration of dialysis,education level,and complications were influencing factors of symptom burden scores across different dimensions.6 stable symptom groups were extracted,namely skin discomfort,fatigue and pain,gastrointestinal tract,sleep disorders,water-electrolyte imbalance,and uremia.The results of the symptom network analysis revealed that difficulty of falling asleep had the highest intensity centrality(rs=2.18,2.25,2.12).Conclusion The symptom association is relatively stable,and difficulty of falling asleep is the core symptom.This finding can assist clinical medical staff in achieving efficiency and precision in symptom group management.

Objective:To retrieve and integrate the best evidence on foot offloading management for diabetic high-risk foot patients, and to provide evidence-based basis for effectively preventing the occurrence and development of diabetic foot ulcers.Methods:Clinical practice guidelines, evidence summaries, systematic reviews and expert consensus on the management of foot offloading at high risk of diabetes were searched in Chinese and English databases, domestic and foreign diabetes association websites, clinical decision websites and guideline websites, retrieval time for libraries to March 31, 2024, respectively, by the 2 researchers quality evaluation, evidence extraction, the final summary.Results:A total of 16 articles were included, including 6 guidesline, 5 expert consensuses, 1 evidence summary and 4 systematic reviews. According to the existing evidence, the best evidence of foot offloading management in patients with diabetic high-risk foot was summarized from 6 aspects: evaluation, monitoring, referral, offloading brace, exercise advice and risk factor intervention, 14 subcategories, 32 best evidences for foot offloading management in patients with high-risk diabetic foot.Conclusions:This study summarized the best evidence for foot offloading management in patients with high-risk of diabetic foot, which is convenient for the further development of clinical practice of foot offloading management in patients with high-risk of diabetes, and provides evidence-based basis for clinical medical staff to expand related research.

Objective:To investigate the current status of subjective well-being among stroke patients, and to explore the pathways and effects of influencing factors using structural equation model, so as to provide reference for improving subjective well-being among stroke patients.Methods:From July to November 2024, the stroke patients admitted to the First Affiliated Hospital of Bengbu Medical University, the Second Affiliated Hospital of Bengbu Medical University, Hefei First People′s Hospital were selected by convenience sampling method. A cross-sectional survey was conducted using a general demographic questionnaire, General Well-Being Scale, Cognitive Reserve Index questionnaire, Social Support Rating Scale, Stroke Symptom Cluster Scale, and FRAIL Scale, and AMOS 26.0 was used to analyse the pathways and effects of influencing factors of subjective well-being.Results:A total of 435 questionnaires were collected, 410 were valid.Among 410 cases, 266 case were males, 144 were females, with an age of (65.96 ± 12.15) years. The subjective well-being scores of stroke patients were (72.58 ± 11.66) points. Cognitive reserve and social support were positively correlated with subjective well-being ( r = 0.517, 0.554, both P<0.01), while symptom burden and frailty were negatively correlated with subjective well-being ( r = -0.687, -0.670, both P<0.01). Path analysis showed that symptom burden, frailty, cognitive reserve, and social support had a direct impact on subjective well-being (path coefficients were -0.500, -0.266, 0.148, and 0.144, respectively, all P<0.05), while cognitive reserve, social support, and symptom burden had an indirect impact on subjective well-being (path coefficients were 0.287, 0.249, and 0.108, respectively, all P<0.05). Conclusions:The subjective well-being of stroke patients is influenced by multiple factors, with symptom burden being an important factor affecting subjective well-being. Intervention strategies such as improving cognitive reserve, strengthening social support systems, and preventing frailty can improve the subjective well-being of patients.

Objective:To assess the fall risk of hospitalized patients with cardiovascular diseases, analyze the related influencing factors, and construct a prediction model based on machine learning technology, so as to provide a basis for the fall management of hospitalized patients with cardiovascular diseases.Methods:This study was a retrospective cohort study. A total of 450 patients admitted to the Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University from June 2017 to June 2024 were selected as the research objects by convenience sampling method. By reviewing electronic medical records, trained nurses extracted the patients' general information and Activities of Daily Living Scale (ADL) scores during hospitalization. Lasso regression was used to screen risk factors, and machine learning libraries were used to construct support vector machine (SVM), decision tree, XGBoost, and neural network models. Bootstrap resampling method and area under the curve (AUC) were used to verify the model performance.Results:Among the 450 patients, there were 261 males and 189 females, with a mean age of (66.0 ± 8.4) years. Among them, 90 patients fell during hospitalization and 360 patients did not fall. The results of Lasso regression showed that ADL score ≤60 points, use of hypnotics, hypokalemia, nighttime toilet visits≥2 times, use of antihypertensive drugs, no caregiver, and history of atrial fibrillation were all risk factors for falls in hospitalized patients with cardiovascular diseases (regression coefficients ranging from 0.61 to 1.20, all P<0.01). Among the machine learning models, XGBoost had the best comprehensive performance (AUC=0.98), which was better than decision tree (AUC=0.66), SVM (AUC=0.95), and neural network (AUC=0.87). Conclusions:The fall risk of hospitalized patients with cardiovascular diseases is jointly affected by physiological, medication and behavioral factors, and the XGBoost model can effectively identify high-risk groups. In actual clinical work, nursing strategies can be optimized in combination with risk factors, and the application of intelligent fall prediction and assessment tools can be promoted.

OBJECTIVE To explore the functional substance basis of Jinhong Tablet in the treatment of chronic superficial gastri-tis(CSG).METHODS Three different models were constructed to investigate the anti-inflammatory and antioxidant effects,func-tional material basis of Jinhong Tablet:inflammatory model in human gastric epithelial cells(GES-1)induced by lipopolysaccharide(LPS),LPS-induced inflammatory model in mouse gastric organoids,and ethanol-induced oxidative damage model in GES-1 cells.MTS assay was performed to detect cell proliferation activity;qPCR was applied to measure the relative mRNA expression of tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),interleukin-6(IL-6),and interleukin-8(IL-8)in cells and gastric organoids;and the levels of superoxide dismutase(SOD),malondialdehyde(MDA),and reactive oxygen species(ROS)in cells were detected.RESULTS Jinhong Tablet and 10 functional components significantly reduced the relative expression of inflammation-relat-ed genes TNF-α,IL-1β,IL-6,and IL-8 in LPS-induced GES-1 cells and gastric organoids,suggesting that these 10 components are the functional substance basis for the anti-inflammatory effects of Jin Hong Tablet.Jin Hong Tablet and 11 functional components markedly decreased the levels of MDA and ROS and increased the activity of SOD,indicating that these 11 components were the func-tional substance basis of the antioxidant effects of Jinhong Tablet.CONCLUSION Through in vitro cell and gastric organoid experi-ments,it has been preliminarily determined that allocryptopine,corydaline,dehydrocorydaline,palmatine hydrochloride,chlorogenic acid,costunolide,rutin,quercitrin,dehydrocostus lactone,tetrahydrocoptisine,isochlorogenic acid B,toosendanin,protopine,and quercetin are the functional material basis of Jinhong Tablet in treating CSG,accumulating scientific evidence for the enhancement of the quality standards of Jinhong Tablet.

Objectives:To evaluate the effectiveness of functionalized decellularized extracellular matrix(F-dECM)prepared from porcine auricular cartilage or porcine rib cartilage in repairing xenogeneic articular osteochondral defects.Methods:The por-cine auricular cartilage and rib cartilage were crushed and decellularized.Heparin modification and multi-factor loading were a-chieved through amide bond reaction.The physical characteristics of the particles were characterized by SEM observation and mer-cury intrusion.The chemical characteristics of the particles were characterized by tissue section staining and kit detection.The rabbit knee joint full-thickness defect models were established and implanted by different particles respectively.After 6 weeks and 12 weeks of operation,the samples were taken for gross observation,CT scanning and tissue sectioning to comprehensively evaluate the repair effect.Results:After heparin modification,the glycosaminoglycan lost during the decellularization process was replen-ished.Both heparinized auricular cartilage and costal cartilage presented a highly developed porous structure.Among them,the porosity and pore diameter of costal cartilage were both lower than those of auricular cartilage(P＜0.05).During the observation periods of 6 weeks and 12 weeks,the porcine costal cartilage F-dECM implantation group was superior to other experimental groups in knee joint repair effects(P＜0.05).Conclusion:Costal-derived F-dECM is a joint osteochondral defect repair material with application potential.

Objective To develop a core outcome set(COS)for clinical effectiveness trials of heart failure with preserved ejection fraction(HFpEF).Methods Outcome measures were collected through database literatures search,clinical experts questionnaire survey and semi-structured patients interview.Then,the outcome measures pool was constructed and domains were divided.Candidate outcome measures of COS were screened through two rounds of Delphi survey.Finally,a consensus meeting was held to determine COS and reach a consensus.Results A total of 317 outcome measures which could be divided into 6 domains were collected through literature research,questionnaire survey and semi-structured interview.15 candidate outcome measures of COS were screened through two rounds of Delphi survey.Finally,the consensus meeting reached consensus on a COS with 6 entries.Conclusion In this study,a COS for clinical effectiveness trials of HFpEF was developed,which is conducive to the standardization of efficacy evaluation.