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Objective: Starting 31 July 2021, a SARS-CoV-2 outbreak occurred in Yantai, Shandong Province. The investigation showed that this outbreak was closely related to the epidemic at Nanjing Lukou Airport. In view of the fact that there were many people involved in this outbreak and these people had a complex activity area, the transmission route cannot be analyzed by simple epidemiological investigation. Here we combined the SARS-COV-2 whole-genome sequencing with epidemiology to determine the epidemic transmission route of Yantai., Methods: Thirteen samples of SARS-CoV-2 outbreak cases from 31 July to 4 August 2021 were collected and identified by fluorescence quantitative PCR, then whole-genome deep sequencing based on NGS was performed, and the data were analyzed and processed by biological software., Results: All sequences were over 29,000 bases in length and all belonged to B.1.617.2, which was the Delta strain. All sequences shared two amino acid deletions and 9 amino acid mutations in Spike protein compared with reference sequence NC_045512.2 (Wuhan virus strain). Compared with the sequence of Lukou Airport Delta strain, the homology was 99.99%. In order to confirm the transmission relationship between patients, we performed a phylogenetic tree analysis. The results showed that patient 1, patient 2, and patient 9 belong to an independent branch, and other patients have a close relationship. Combined with the epidemiological investigation, we speculated that the epidemic of Yantai was transmitted by two routes at the same time. Based on this information, our prevention and control work was carried out in two ways and effectively prevented the further spread of this epidemic., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Sun, Zhang, Liu, Li, Liu, Tian, Gao, Niu, Zhai, Sun, Tian and Wang.)

The purpose of this study was to analyze the influencing factors of frailty in elderly patients with type II diabetes. 332 elderly patients with type II diabetes admitted to our hospital from May 2018 to December 2019 were selected as the study subjects. The degree of frailty was evaluated by the Fried fragility phenotype scale, and the general information and the clinical data of patients were collected by inquiry and questionnaire survey. After that, all the data were analyzed by SPSS 20.0. Univariate analysis showed that there were significant differences in age, medication types, dietary habits, exercise tolerance, exercise capacity, body balance, coordination ability, urinary incontinence, anxiety, etc., in elderly patients with type II diabetes who suffered from different degrees of frailty ( P  < 0.01). In addition, there were significant differences in the presence of coronary heart disease, heart failure, atrial fibrillation, pulmonary diseases, osteoarticular diseases, anemia, and other blood diseases of elderly patients with type II diabetes who suffered from different degrees of frailty ( P  < 0.01). Multiple Logistic regression analyses indicated that weakened exercise tolerance, reduced exercise capacity, atrial fibrillation, anemia, and other blood diseases were the influencing factors of the frailty in elderly patients with type II diabetes. The degree of frailty in elderly patients with diabetes is affected by many factors, such as exercise tolerance, exercise capacity, atrial fibrillation, anemia, and other blood diseases; thus, reasonable intervention should be implemented for elderly patients with type II diabetes according to the influencing factors so as to effectively relieve frailty., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2022 Yingying Song et al.)

By using a whole-genome oligonucleotide microarray, designed based on known and predicted indica rice genes, we investigated transcriptome profiles in developing leaves and panicles of superhybrid rice LYP9 and its parental cultivars 93-11 and PA64s. We detected 22,266 expressed genes out of 36,926 total genes set collectively from 7 tissues, including leaves at seedling and tillering stages, flag leaves at booting, heading, flowering, and filling stages, and panicles at filling stage. Clustering results showed that the F1 hybrid's expression profiles resembled those of its parental lines more than that which lies between the 2 parental lines. Out of the total gene set, 7,078 genes are shared by all sampled tissues and 3,926 genes (10.6% of the total gene set) are differentially expressed genes (DG). As we divided DG into those between the parents (DG(PP)) and between the hybrid and its parents (DG(HP)), the comparative results showed that genes in the categories of energy metabolism and transport are enriched in DG(HP) rather than in DG(PP). In addition, we correlated the concurrence of DG and yield-related quantitative trait loci, providing a potential group of heterosis-related genes.