Objective:This study examines the application of echocardiography in the prenatal diagnosis of copy number variation (CNV) associated with fetal congenital heart disease (CHD).Methods:A retrospective analysis was conducted on 447 singleton pregnancies from Quanzhou Maternal and Child Care Hospital (Quanzhou Children's Hospital) from January 2019 to August 2022. These individuals underwent echocardiographic assessments suggestive of fetal CHD and subsequently received invasive prenatal diagnoses. Comprehensive karyotype analysis and chromosome microarray analysis (CMA) were performed for each case. The discrepancies in the chromosomal abnormality detection were analyzed between the results produced by CMA and karyotype analysis. Furthermore, differences in the detection of pathogenic copy number variation (pCNV) between the two methods in CHD cases with diverse cardiac phenotypes, including the presence or absence of extracardiac structural malformations, the type, and quantity of cardiac structural anomalies, were explored. Statistical analysis was conducted using the Chi-square test. Results:Compared with conventional karyotype analysis, CMA demonstrated a higher detection rate of fetal chromosomal abnormalities [10.5% (47/447) vs. 20.6% (92/447), χ 2=161.56, P<0.001]. In terms of distinct cardiac phenotypes, CHD cases with extracardiac structural anomalies displayed an escalated pCNV detection rate in comparison to isolated CHD cases [11.4% (45/394) vs. 32.1% (17/53), χ 2=16.68, P<0.001]. Within the cardiac structural anomaly subgroups, increased pCNV detection rates were observed in the septal defect subgroup, conotruncal malformation subgroup, and left ventricular malformation subgroup [18.4%(29/158), 25.9%(7/27), and 25.0%(7/28) vs. 7.6%(16/210); χ 2=9.15, 9.68, and 8.55, respectively, all P<0.05]. The CMA-identified pCNV correlated with CHD included 22q11.2 deletions/duplications in eight cases, 4p16.3 deletions in two cases, 11q23.3 microduplications in two cases, 1q21.1 microdeletions/microduplications in two cases, 4q28.3 microduplications in one case, and 10p15.3 microdeletions in one case. Conclusions:CMA technology exhibited an enhanced ability to detect pCNV in fetuses with CHD. Echocardiography can guide targeted CMA screening, thereby facilitating prenatal genetic assessment of CHD.

Objective:To explore the gene-body mass index (BMI) interaction on coronary heart disease (CHD) in the Chinese adult twins.Methods:A total of 20 340 same-sex twin pairs registered in the Chinese National Twin Registry (CNTR) were enrolled in this study. Classical twin structure equation model was used to estimate the gene-BMI interaction on CHD.Results:After adjusting for age, we found that genetic variance of CHD differed as the function of BMI in male twins, which indicated the presence of a gene-BMI interaction on CHD ( P=0.008).The genetic moderating effect ( βa) was -0.14 (95% CI: -0.22--0.04), indicating that for each logarithmic transformation value of BMI increase, genetic path parameters would decrease by 0.14, which would result in the decrease of genetic variance of CHD. And the heritability of CHD was 0.77 (95% CI: 0.65-0.86) among the male twins with lower BMI (<24.0 kg/m 2), but 0.56 (95% CI: 0.33-0.74) among the male twins with high BMI (≥24.0 kg/m 2). However, there was no evidence suggesting that BMI could moderate genetic variants of CHD in female. Conclusion:We found a significant gene-BMI interaction on CHD in the Chinese male adult twins in China, and the heritability of CHD was higher among the twins whose BMI was <24.0 kg/m 2.

ObjectiveTo provide a basis for the establishment of an ideal animal model of allergic asthma by statistically analyzing the modeling characteristics and the selection of indicators of the available models. MethodsWe retrieved the relevant articles from China National Knowledge Infrastructure（CNKI）， VIP， Wanfang Data， SinoMed， and PubMed with "allergic asthma" as the keyword and the time interval from January 2019 to January 2024. Through integrating the literature and extracting data， we used Excel 2021 to create a personal database and sorted out the animal strains， genders， allergenic substances， modeling routes， and test indicators and methods. Excel 2021， Cytoscape 3.10.2， and SPSS Modeler 18.0 were then used to analyze the relevant characteristics of the animal models. ResultsA total of 418 articles were included in the database， and the comparative analysis showed that the most frequently used animal strain for modeling was BALB/c mice， and female animals were mostly used. The main modeling method was sensitization by intraperitoneal injection of ovalbumin （OVA）， which was combined with intranasal inhalation. The test indicators mainly included appearance signs， cellular analysis， lung histopathology， lung function indicators， and protein and gene expression in the lung. The test methods mainly involved pathological staining， enzyme-linked immunosorbent assay， immunohistochemistry， immunofluorescence， Western blot， and polymerase chain reaction（PCR） assays. ConclusionThere is no recognized modeling method or evaluation standard for the animal models of allergic asthma. Based on the results of data analysis， the OVA-induced allergic asthma model in BALB/c mice is recommended. The main criteria for evaluating the success of modeling are the general behavioral changes， the morphological changes of the airway and inflammatory cell infiltration in the lung tissue， the changes of pro-inflammatory and anti-inflammatory cytokines in the serum， and the alterations of inflammatory cells in the bronchoalveolar lavage fluid.