ABSTRACT
BackgroundCOVID-19 patients with chronic diseases such as hypertension, diabetes and coronary heart diseases is more likely to worsen, but with mixed results for COVID-19 severity. This meta-analysis is to analyze the correlation between hypertension, diabetes, coronary heart disease and COVID-19 disease severity. MethodsAvailable data from PubMed, Web of Science, China National Knowledge Infrastructure Database, WanFang Database and VIP Database, were analyzed using a fixed effects model meta-analysis to derive overall odds ratios (OR) with 95% CIs. Funnel plots and Beggs were used to assess publication bias. FindingsOf 182 articles found following our initial search, we assessed 34 full-text articles, of which 9 articles with 1936 COVID-19 patients met all selection criteria for our meta-analysis. No significant heterogeneity between studies. There were significant correlations between COVID-19 severity and hypertension [OR=2.3 [95% CI (1.76, 3.00), P<0.01], diabetes [OR=2.67, 95% CI (1.91, 3.74), P<0.01], coronary heart disease [OR=2.85 [95% CI (1.68, 4.84), P<0.01]. Most of the studies in the funnel plot are on the upper part and few on the base part, and are roughly symmetrical left and right. Beggs test: hypertension (Z=-0.1, P=1.0), diabetes (Z=0.73, P=0.466), coronary heart disease (Z=0.38, P=0.707), all found no publication bias. InterpretationHypertension, diabetes, and coronary heart disease can affect the severity of COVID-19. It may be related to the imbalance of angiotensin-converting enzyme 2 (ACE2) and the cytokine storm induced by Glucolipid metabolic disorders (GLMD). FundingNational Natural Science Foundation of China (No. 81830113, 81530102); Major basic and applied basic research projects of Guangdong Province of China (No. 2019B030302005); National key R & D plan "Research on modernization of traditional Chinese medicine" (No. 2018YFC1704200) and Natural Science Foundation of Guangdong Province (No. 2018A030313391)
ABSTRACT
To analyze the structural characteristics of the Rap2B gene from Clonorchis sinensis by bioinformatics and to clone and express this gene through genetic engineering methods in order to obtain the corresponding recombinant protein.The structural and functional characteristics of the Rap2B protein were analyzed by using the related bioinformatic softwares. Using the full-length cDNA plasmid clone (Noc009e03) as template , the coding region of Rap2B gene sequence was amplified with PCR and cloned into the prokaryotic expression vector pET-28a(+) and then expressed in E.coli BL21 through IPIG induction. The recombinant protein expressed was purified by Ni-IDA affinity chromatography and detected by SDS-PAGE and Western blotting. It was demonstrated that the size of this gene was 847 bp in length, encoding 141 amino acids and its theoretical molecular weight was 15851.1 daltons. As demonstrated by PCR, double enzyme digestion and DNA sequencing, the recombinant expression plasmid pET-28a(+)-Rap2B was successively constructed and the Rap2B-like gene was highly expressed in E.coli BL21. The recombinant protein was obtained through purification with His affinity chromatography and could react specifically with the serum of rats infected with C.sinensis. Through these investigations, the Rap2B protein may be predicted as a member of the Ras oncogene family protein and is potential in the carcinogenic process of C.sinensis.
