Objective. To investigate the value of coagulation indicators D-dimer (DD), prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), and fibrinogen (Fg) in predicting the severity and prognosis of COVID-19. Methods. A total of 115 patients with confirmed COVID-19, who were admitted to Tianyou Hospital of Wuhan University of Science and Technology between January 18, 2020, and March 5, 2020, were included. The dynamic changes of DD, PT, APTT, and Fg were tested, and the correlation with CT imaging, clinical classifications, and prognosis was studied. Results. Coagulation disorder occurred at the early stage of COVID-19 infection, with 50 (43.5%) patients having DD increased and 74 (64.3%) patients having Fg increased. The levels of DD and Fg were correlated with clinical classification. Among 23 patients who deceased, 18 had DD increased at the first lab test, 22 had DD increased at the second and third lab tests, and 18 had prolonged PT at the third test. The results from ROC analyses for mortality risk showed that the AUCs of DD were 0.742, 0.818, and 0.851 in three times of test, respectively; PT was 0.643, 0.824, and 0.937. In addition, with the progression of the disease, the change of CT imaging was closely related to the increase of the DD value (P<0.01). Conclusions. Coagulation dysfunction is more likely to occur in severe and critically ill patients. DD and PT could be used as the significant indicators in predicting the mortality of COVID-19.

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Design of de novo synthetic regulatory DNA is a promising avenue to control gene expression in biotechnology and medicine. Using mutagenesis typically requires screening sizable random DNA libraries, which limits the designs to span merely a short section of the promoter and restricts their control of gene expression. Here, we prototype a deep learning strategy based on generative adversarial networks (GAN) by learning directly from genomic and transcriptomic data. Our ExpressionGAN can traverse the entire regulatory sequence-expression landscape in a gene-specific manner, generating regulatory DNA with prespecified target mRNA levels spanning the whole gene regulatory structure including coding and adjacent non-coding regions. Despite high sequence divergence from natural DNA, in vivo measurements show that 57% of the highly-expressed synthetic sequences surpass the expression levels of highly-expressed natural controls. This demonstrates the applicability and relevance of deep generative design to expand our knowledge and control of gene expression regulation in any desired organism, condition or tissue.

Chromosomal integration and expression of heterologous gene(s) are favored in industrial biotechnology due to the inheriting expression stability. Yet, chromosomal expression is commonly weaker than plasmid one. The effect on gene expression level at 13 chromosomal locations in Escherichia coli was investigated using the polyhydroxybutyrate (PHB) synthesis pathway encoded by a phaCAB operon as a reporter. When 11 copies of phaCAB were randomly integrated into 11 of the 13 chromosomal locations, respectively, 5.2 wt% of PHB was produced. PHB (34.1 wt%) was accumulated by a recombinant E. coli inserted chromosomally with 50 copies of phaCAB in the active asnB site using a Cre-loxP recombination method. This PHB accumulation level was equivalent to a medium-copy-number plasmid expression system, suggesting the importance of chromosomal gene copy number for PHB production by E. coli. This result was used to manipulate a Halomonas strain. One copy of genes scpAB encoding methylmalonyl-CoA mutase and methylmalonyl-CoA decarboxylase was inserted into the strongest expression site porin in the chromosome of the 2-methylcitrate synthase (prpC) deleted mutant Halomonas TD08, leading to the synthesis of poly(hydroxybutyrate-co-hydroxyvalerate) (PHBV) from glucose as the sole carbon source. The chromosome-engineered strain produced PHBV consisting of 5-12 mol% 3-hydroxyvalerate (3HV) stably compared with unstable fluctuation of 7-25 mol% 3HV by a medium-copy-number plasmid system. These results demonstrated that chromosome engineering based on active transcriptional site and gene copy number is more feasible for polyhydroxyalkanoate (PHA) synthesis in Halomonas TD08 compared with in E. coli.