OBJECTIVE: To investigate the genetic etiology of a fetus diagnosed with Mandibulofacial dysostosis with microcephaly (MFDM). METHODS: A fetus that underwent prenatal diagnosis at Beijing Obstetrics and Gynecology Hospital, Capital Medical University, on May 19, 2025 was selected for analysis. Results of fetal ultrasound findings, chromosomal karyotyping, copy number variation sequencing (CNV-seq), and whole-exome sequencing (WES) were collected. Sanger sequencing was performed for familial validation of the pathogenic variant. The Human Protein Atlas (HPA), STRING, and Simple ClinVar databases were queried to characterize the biological features of the candidate gene. Three-dimensional structures of the wild-type and variant proteins were modeled and analyzed, and the evolutionary conservation of the affected amino acid was assessed using UGENE. Prenatal phenotypes associated with EFTUD2 variants were summarized through a review of the literature. This study was approved by the Ethics Committee of Beijing Obstetrics and Gynecology Hospital, Capital Medical University (Ethics No.: 2025-KY-029-01). RESULTS: At 23⁺² weeks of gestation, ultrasound examination revealed bilateral microtia with low-set ears, mild micrognathia with a reduced mandibular-facial angle, a single umbilical artery, a slightly narrow aortic diameter, and trivial mitral regurgitation. Amniotic fluid karyotyping and CNV-seq showed no abnormalities. WES identified a de novo, previously unreported EFTUD2 variant, c.698dupA (p.V235Gfs*27), in the fetus. This frameshift variant is predicted to alter the structural integrity of the EFTUD2 protein. Literature review indicated that micrognathia and microtia or low-set ears are the most common sonographic features in fetuses with EFTUD2 variants, while secondary findings may include abnormal stomach bubble, cleft palate, single umbilical artery, gastrointestinal atresia, polyhydramnios, and reduced aortic diameter. CONCLUSION The EFTUD2: c.698dupA (p.V235Gfs*27) variant is likely the genetic cause underlying MFDM in this fetus.
Humans ; Mandibulofacial Dysostosis/diagnostic imaging* ; Microcephaly/diagnostic imaging* ; Female ; Pregnancy ; Ribonucleoprotein, U5 Small Nuclear/chemistry* ; Peptide Elongation Factors/chemistry* ; Fetus ; DNA Copy Number Variations/genetics* ; Adult ; Ultrasonography, Prenatal

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To establish an analytical strategy covering multi-dataset processing, recursive feature elimination (RFE) screening and multi-model evaluation based on multiple machine learning algorithms, so as to screen radiation-sensitive genes and verify the feasibility of the evaluation strategy. Methods Qualified radiation transcriptome datasets were retrieved from public gene expression databases. Following standardized data preprocessing and feature preselection, 13 machine learning algorithms were adopted to construct models. The performance of each model was compared and validated in independent datasets. Results A total of 38 eligible datasets were included. Sixteen differentially expressed genes unreported in existing literature were screened out, among which ugcrhl, pdcl3, mct4, h2-g2 and fam120aos were correlated with radiation phenotypes. Ensemble learning algorithms including random forest and gradient boosting exhibited the optimal comprehensive performance. Independent dataset verification confirmed that the screened genes overlapped with known radiation-sensitive genes, and the model performance was consistent with the findings. Conclusion The machine learning strategy constructed in this study can effectively explore potential radiation-sensitive genes, and provides methodological support for subsequent relevant studies.

Objective To explore the health issues and influencing factors of workers in new forms of employment, represented by couriers and food delivery workers, based on the social-ecological model (SEM). Methods A total of 44 couriers and food delivery workers from Beijing City, Shanghai City, Guangzhou City, and Chongqing City were recruited as the study subjects using purposive sampling combined with snowball sampling method. An interview guide was developed based on the SEM to conduct semi-structured interviews. Thematic analysis was employed to code and analyze the interview data. Results The health influencing factors among the couriers and food delivery workers based on the SEM included three first-level themes at the micro-, meso-, and macro-levels, namely "individual factors," "occupational environmental factors," and "social environmental factors," each comprising three second-level themes. At the micro-level, individual factors such as insufficient health literacy, unhealthy lifestyles and behaviors, and sustained psychological burden jointly contributed to the health vulnerability among these couriers and food delivery workers. At the meso-level, occupational environmental factors including algorithmic management, high-load work environments, and inadequate interpersonal support, jointly construct a high-pressure and high-intensity work pattern. At the macro-level, social environmental factors such as insufficient social security caused by the de facto nature of labor relations, economic pressure resulting from unstable income in the market environment, and psychological depletion caused by occupational discrimination further exacerbate the health vulnerability among these workers. Conclusion The health issues of the couriers and food delivery workers result from the interplay of factors across micro-, meso-, and macro- levels. Therefore, a multi-level collaborative health protection system involving individuals, organizations, and society should be established to improve their health status.

OBJECTIVE To construct a predictive tool for surgical site infections(SSIs)in spinal surgery for Chi-nese population to provide evidence support for reducing SSIs.METHODS A systematic review of Chinese and English database literature was conducted for Meta-analysis to obtain pooled risk values for influencing factors,and a risk prediction scoring tool was constructed based on the logistic regression model.Patients who underwent spinal surgery and completed postoperative follow-up in a tertiary hospital in Beijing from Jan.to Dec.2021 were selected to validate the predictive effect of the tool.RESULTS The predictive model for SSIs in Chinese spinal sur-gery patients was Logit(P)=—3.47+0.63(age 60 years)+0.31 ×(patient with cardiovascular disease)+0.69 ×(rheumatoid arthritis)+1.07 ×(diabetes)+1.06 ×(operation duration＞3 h)+1.17 ×(preopera-tive albumin＜35 g/L)+0.71 ×(history of spinal surgery)+0.67 ×(carrying internal implants)+0.73 ×(blood transfusion).The total score of the predictive tool was 92,with a cutoff score of≥24.50 indicating high-risk individuals.The area under the curve was 0.733,with the sensitivity 58.30％and the specificity 79.60％.CONCLUSION The established predictive model for SSIs in Chinese spine surgery demonstrates good predictive performance and can be used as a reference assessment tool in clinical practice.

OBJECTIVE To investigate the differential expression of CXC chemokine receptor 1(CXCR1)in chronic rhinosinusitis(CRS)and its correlation with neutrophil infiltration.METHODS A total of 60 CRS patients with nasal polyps(CRSwNP group),30 CRS patients without nasal polyps(CRSsNP group),and 30 patients with deviated nasal septum(control group)were enrolled in this study.ELISA,immunohistochemistry,and reverse transcription polymerase chain reaction were employed to measure CXCR1 expression levels.Correlation analysis was conducted to evaluate the relationship between CXCR1 expression,neutrophil infiltration,and clinical symptom scores.RESULTS CXCR1 was highly expressed in both tissues and serum of CRSwNP patients.Serum CXCR1 levels showed positive correlations with peripheral blood neutrophil counts(r=0.363,P=0.004 4),neutrophil percentage(r=0.323,P=0.011 7),visual analog scale(VAS)score(r=0.328,P=0.010 5),Lund-Kennedy endoscopic score(r=0.331,P=0.009 9),and Lund-Mackay CT score(r=0.262,P=0.045 0).Tissue CXCR1 levels were positively correlated with tissue neutrophil counts(r=0.506,P=0.011 6)and percentage(r=0.564,P=0.004 1).CONCLUSION CXCR1 is highly expressed in CRSwNP patients,and its expression level is positively correlated with the degree of neutrophil infiltration and clinical symptom scores.Higher CXCR1 levels are associated with increased neutrophil migration in both serum and tissues,as well as more severe clinical symptoms.

OBJECTIVE To investigate the effectiveness of different bacterial cleaning methods and their effects on the general condition,nasal mucosal and systemic inflammation of mice.METHODS A total of 44 mice were randomly divided into six groups:4-antibiotic per os group(4ABX po)with 7 mice,5-antibiotic oral gavage group(5ABX og)with 8 mice,5-antibiotic intranasal group(5ABX in)with 8 mice,and each of their control groups with 7 mice.Body weight,water intake,and peripheral blood routine test of mice were measured.Bacterial culture of nasal lavage fluid(NLF)was performed;mRNA level of inflammatory mediators and histopathological analysis were conducted with mouse nasal mucosa.RESULTS Bacteria were cultured from all control groups,while Bacteria were cultured from all control groups,while one mouse in the 4ABX po group,three mice in the 5ABX og group,and two mice in the 5ABX in group showed no bacterial growth.The number of goblet cells in the nasal mucosa significantly increased in the 5ABX og group compared with its control group(P<0.05).The 5ABX in group exhibited significantly higher counts of peripheral blood lymphocytes and hemoglobin levels,as well as greater nasal mucosal thickness compared with its control group,with a notable decrease in goblet cells(P<0.05).No statistical differences were observed in body weight or the mRNA expression of nasal mucosal inflammatory mediators.CONCLUSION Different combinations of antibiotics and administration routes have varying effects on nasal bacteria,systemic and nasal mucosal inflammation in mice.Therefore,choosing appropriate protocols is crucial for the progression of subsequent research.

Aim To investigate the effects of circ_0071653 targeting miR-197-3p on the proliferation and metastasis of esophageal squamous cell carcinoma(ES-CC)cells.Methods The circular structure of circ_0071653 was confirmed by Sanger sequencing and ribo-nuclease R tolerance experiments.Real-time quantita-tive polymerase chain reaction(RT-qPCR)and tissue fluorescence in situ hybridization assay were performed to detect the circ_0071653 expression levels and ana-lyze its clinical relevance.Cell fluorescence in situ hy-bridization and nuclear cytoplasmic separation assays were used to verify the subcellular localization of circ_0071653 and miR-197-3p.Bioinformatics analysis,dual luciferase reporter gene and RT-qPCR assays were conducted to validate the interactions between circ_0071653 and miR-197-3p.Moreover,the cell counting Kit-8(CCK-8),colony formation,scratch,Transwell invasion and subcutaneous tumor formation in nude mice assays were used to evaluate the effects of circ_0071653 and miR-197-3p on cell viability,prolifera-tion,migration,and invasion and in vivo tumorigenesi-sability.Results Circ_0071653 was a circular RNA,which showed high expression in ESCC cell lines and tissues.The expression of circ_0071653 was signifi-cantly correlated with lymph node metastasis and clini-cal stage of ESCC patients.Circ_0071653 and miR-197-3p were mainly localized in the cytoplasm.The databases predict that circ_0071653 had complementa-ry binding sites with miR-197-3p,and their binding were confirmed by dual luciferase reporter geneand RT-qPCR assays.Moreover,the activity,proliferation,migration,invasion and in vivo tumorigenesis abilities of ESCC cells were significantly reduced after knocking down circ_0071653,and this effect could be reversed by downregulating the expression of miR-197-3p.Con-clusions Circ_0071653 promotes the malignant pro-gression of ESCC through targeted regulation of miR-197-3p.

OBJECTIVE: To determine the prevalence of lumbar spondylolysis (LS) and the proportion of spondylolytic spondylolisthesis (SS) in China, and to evaluate the musculoskeletal status of patients with LS and SS. METHODS: Spine Computed Tomography (CT) images were collected from community populations aged 40 and above in a nationwide multi-center project. LS was diagnosed, and SS was graded by an experienced radiologist. Bone mineral density (BMD) and paraspinal muscle parameters were quantified based on CT images. RESULTS: One hundred and seventeen patients of a total of 3,317 individuals were diagnosed with LS, corresponding to a prevalence rate of 3.53%. 63 of the 1,214 males (5.18%) and 54 of the 2,103 females (2.57%) were diagnosed with LS. SS occurred in 64/121 vertebrae (52.89%). BMD was not associated with LS ( P = 0.341). The L5 extensor paraspinal muscle density was higher in the LS group than in the non-LS group. In the LS group, patients with SS had a smaller L5 paraspinal extensor muscle cross-sectional area than those without SS ( P = 0.003). CONCLUSION The prevalence of LS in Chinese adults was 3.53%, with prevalence rates of 5.18% in males and 2.57% in females. Patients with LS have higher muscle density, whereas those with SS have smaller muscle cross-sectional areas at the L5 level.
Humans ; Male ; Female ; Middle Aged ; China/epidemiology* ; Prevalence ; Adult ; Lumbar Vertebrae/diagnostic imaging* ; Spondylolysis/diagnostic imaging* ; Aged ; Bone Density ; Tomography, X-Ray Computed ; Aged, 80 and over ; Spondylolisthesis/epidemiology* ; East Asian People