ZmASY1 interacts with ZmPRD3 and is crucial for meiotic double-strand break formation in maize.

During meiosis, recombination-mediated pairing and synapsis of homologous chromosomes begin with programmed DNA double-strand breaks (DSBs). In yeast and mice, DSBs form in a tethered loop-axis complex, in which DSB sites are located within chromatin loops and tethered to the proteinaceous axial element (AE) by DSB-forming factors. In plants, the molecular connection between DSB sites and chromosome axes is poorly understood. By integrating genetic analysis, immunostaining technology, and protein-protein interaction studies, the putative factors linking DSB formation to chromosome axis were explored in maize meiosis. Here, we report that the AE protein ZmASY1 directly interacts with the DSB-forming protein ZmPRD3 in maize (Zea mays) and mediates DSB formation, synaptonemal complex assembly, and homologous recombination. ZmPRD3 also interacts with ZmPRD1, which plays a central role in organizing the DSB-forming complex. These results suggest that ZmASY1 and ZmPRD3 may work as a key module linking DSB sites to chromosome axes during DSB formation in maize. This mechanism is similar to that described in yeast and recently Arabidopsis involving the homologs Mer2/ZmPRD3 and HOP1/ZmASY1, thus indicating that the process of tethering DSBs in chromatin loops to the chromosome axes may be evolutionarily conserved in diverse taxa.

Warfarin anticoagulation management during the COVID-19 pandemic: The role of internet clinic and machine learning.

Background: Patients who received warfarin require constant monitoring by hospital staff. However, social distancing and stay-at-home orders, which were universally adopted strategies to avoid the spread of COVID-19, led to unprecedented challenges. This study aimed to optimize warfarin treatment during the COVID-19 pandemic by determining the role of the Internet clinic and developing a machine learning (ML) model to predict anticoagulation quality. Methods: This retrospective study enrolled patients who received warfarin treatment in the hospital anticoagulation clinic (HAC) and "Internet + Anticoagulation clinic" (IAC) of the Nanjing Drum Tower Hospital between January 2020 and September 2021. The primary outcome was the anticoagulation quality of patients, which was evaluated by both the time in therapeutic range (TTR) and international normalized ratio (INR) variability. Anticoagulation quality and incidence of adverse events were compared between HAC and IAC. Furthermore, five ML algorithms were used to develop the anticoagulation quality prediction model, and the SHAP method was introduced to rank the feature importance. Results: Totally, 241 patients were included, comprising 145 patients in the HAC group and 96 patients in the IAC group. In the HAC group and IAC group, 73.1 and 69.8% (p = 0.576) of patients achieved good anticoagulation quality, with the average TTR being 79.9 ± 20.0% and 80.6 ± 21.1%, respectively. There was no significant difference in the incidence of adverse events between the two groups. Evaluating the five ML models using the test set, the accuracy of the XGBoost model was 0.767, and the area under the receiver operating characteristic curve was 0.808, which showed the best performance. The results of the SHAP method revealed that age, education, hypertension, aspirin, and amiodarone were the top five important features associated with poor anticoagulation quality. Conclusion: The IAC contributed to a novel management method for patients who received warfarin during the COVID-19 pandemic, as effective as HAC and with a low risk of virus transmission. The XGBoost model could accurately select patients at a high risk of poor anticoagulation quality, who could benefit from active intervention.

Meta-analysis of postoperative antithrombotic therapy after left atrial appendage occlusion.

OBJECTIVE: This meta-analysis explored the safety and effectiveness of different anticoagulant regimens after left atrial appendage occlusion (LAAO). METHODS: Databases, such as PubMed, MEDLINE, EMBASE, Web of Science, and Cochrane Library, were searched to identify eligible studies according to the inclusion criteria. The incidences of events, including device-related thrombus (DRT) formation, stroke, systemic thromboembolism, bleeding, cardiovascular mortality, and all-cause mortality, were analyzed using R version 3.2.3. RESULTS: The screening retrieved 32 studies, including 36 study groups and 4,474 patients. The incidence of outcomes after LAAO was calculated via meta-analysis. In the subgroup analysis, the rates of DRT formation, cardiovascular mortality, and all-cause mortality were significantly different among different antithrombotic methods. Single antiplatelet therapy was associated with the highest rate of adverse events, followed by dual antiplatelet therapy (DAPT). Vitamin K antagonists (VKAs) and new oral anticoagulants (NOACs) carried lower rates of adverse events. CONCLUSIONS: Anticoagulant therapy had better safety and efficacy than antiplatelet therapy. Thus, for patients with nonabsolute anticoagulant contraindications, anticoagulant therapy rather than DAPT should be actively selected. NOACs displayed potential for further development, and these treatments might represent alternatives to VKAs in the future.

Prevalence and Risk Factors of Maternal Anxiety in Late Pregnancy in China.

OBJECTIVE: A large number of studies have shown the adverse neonatal outcomes of maternal psychological ill health. Given the potentially high prevalence of antenatal anxiety and few studies performed among Chinese people, the authors wanted to investigate the prevalence of antenatal anxiety and associated factors among pregnant women and to provide scientific basis to reduce prenatal anxiety effectively. METHODS: A cross-sectional study was carried out at the Changchun Gynecology and Obstetrics Hospital from January 2015 to march 2015, with 467 participants of at least 38 weeks' gestation enrolled. Antenatal anxiety was measured using the Self-Rating Anxiety Scale (SAS). χ² test and logistic regression analysis were performed to evaluate the association of related factors of antenatal anxiety. RESULTS: Among the 467 participants, the prevalence of antenatal anxiety was 20.6% (96 of 467). After adjustment for women's socio-demographic characteristics (e.g., area, age, household income), multivariate logistical regression analysis revealed that antenatal anxiety showed significant relationship with education level lower than middle school (years ≤ 9), expected natural delivery, anemia during pregnancy, pregnancy-induced hypertension syndrome, disharmony in family relationship and life satisfaction. CONCLUSIONS: It is important to prevent or reduce antenatal anxiety from occurring by improving the health status of pregnant women and strengthening prenatal-related education and mental intervention.