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1.
One Health ; 13: 100332, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1433701

ABSTRACT

The emerging coronavirus diseases such as COVID-19, MERS, and SARS indicated that animal coronaviruses (CoVs) spillover to humans are a huge threat to public health. Therefore, we needed to understand the CoVs carried by various animals. Wild hedgehogs were collected from rural areas in Wuhan and Xianning cities in Hubei Province for analysis of CoVs. PCR results showed that 5 out of 51 (9.8%) hedgehogs (Erinaceus amurensis) were positive to CoVs in Hubei Province with 3 samples from Wuhan City and 2 samples from Xianning City. Phylogenetic analysis based on the partial sequence of RNA-dependent RNA polymerase showed that the CoVs from hedgehogs are classified into Merbecovirus of the genus Betacoronavirus; the hedgehog CoVs formed a phylogenetic sister cluster with human MERS-CoVs and bat MERS-related CoVs. Among the 12 most critical residues of receptor binding domain in MERS-CoV for binding human Dipeptidyl peptidase 4, 3 residuals were conserved between the hedgehog MERS-related CoV obtained in this study and the human MERS-CoV. We concluded that hedgehogs from Hubei Province carried MERS-related CoVs, indicating that hedgehogs might be important in the evolution and transmission of MERS-CoVs, and continuous surveillance of CoVs in hedgehogs was important.

2.
Acad. J. Second Mil. Med. Univ. ; 5(41):493-497, 2020.
Article in Chinese | ELSEVIER | ID: covidwho-738549

ABSTRACT

Objective To explore the rule of traditional Chinese medicine (TCM) syndrome differentiation of coronavirus disease 2019 (COVID-19) patients. Methods The symptoms of 756 cases with COVID-19 in Guanggu Branch of Maternity and Child Healthcare Hospital of Hubei Province were collected by cross sectional survey. The incidence rates of the symptoms were recorded by frequency method at different courses of the disease: prodromal stage (onset), middle stage (7-30 days), and later stage (>30 days). The common symptoms (incidence rate>5.0%) were analyzed by systematic clustering. With expert experience, the rule of TCM syndrome differentiation of COVID-19 patients was summarized. Results Fever (52.25%, 395 cases), cough (43.25%, 327 cases), asthenia (27.25%, 206 cases), chest distress (26.72%, 202 cases), asthma (17.59%, 133 cases) and expectoration (5.03%, 38 cases) were the most common symptoms in the prodromal stage (756 cases) of the disease, which were clustered into one category except expectoration, indicating the pathogenesis of both lung and body surface suppressed by dampness. In the middle stage (383 cases), the 19 common symptoms including greasy fur (64.49%, 247 cases), yellow fur (43.86%, 168 cases), thick fur (40.21%, 154 cases), cough (34.73%, 133 cases), red tongue (32.38%, 124 cases), poor stool (25.85%, 99 cases), asthma (25.33%, 97 cases), asthenia (25.07%, 96 cases), poor appetite (23.76%, 91 cases), bitterness of mouth (14.36%, 55 cases), dry fur (12.01%, 46 cases), purple tongue (12.01%, 46 cases), perspiration (11.49%, 44 cases), constipation (10.18%, 39 cases), white phlegm (8.62%, 33 cases), insomnia (7.31%, 28 cases), nausea (7.05%, 27 cases), diarrhea (6.79%, 26 cases) and yellow phlegm (6.27%, 24 cases), were clustered into three groups, indicating the pathogenesis of damp-heat accumulation, obstruction of lung and spleen by dampness, and dryness due to dampness-heat. In the later stage (373 cases), the 13 common symptoms including greasy fur (50.94%, 190 cases), asthenia (39.41%, 147 cases), cough (37.80%, 141 cases), red tongue (33.78%, 126 cases), asthma (32.17%, 120 cases), perspiration (23.86%, 89 cases), dry mouth (22.79%, 85 cases), poor appetite (20.11%, 75 cases), poor stool (19.30%, 72 cases), bitterness of mouth (15.01%, 56 cases), white phlegm (10.72%, 40 cases), palpitation (8.31%, 31 cases) and little fur (8.04%, 30 cases), were clustered into two groups, indicating the pathogenesis of deficiency of Qi and Yin with residual dampness, and deficiency of lung Qi and spleen Qi with residual dampness. Conclusion The TCM syndromes of COVID-19 patients in different stages have its own typical characteristics, with a regular change from exterior to interior, from dampness to dampness-heat and from excess to deficiency..

3.
Engineering (Beijing) ; 6(10): 1170-1177, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-622480

ABSTRACT

Diabetes and its related metabolic disorders have been reported as the leading comorbidities in patients with coronavirus disease 2019 (COVID-19). This clinical study aims to investigate the clinical features, radiographic and laboratory tests, complications, treatments, and clinical outcomes in COVID-19 patients with or without diabetes. This retrospective study included 208 hospitalized patients (≥ 45 years old) with laboratory-confirmed COVID-19 during the period between 12 January and 25 March 2020. Information from the medical record, including clinical features, radiographic and laboratory tests, complications, treatments, and clinical outcomes, were extracted for the analysis. 96 (46.2%) patients had comorbidity with type 2 diabetes. In COVID-19 patients with type 2 diabetes, the coexistence of hypertension (58.3% vs 31.2%), coronary heart disease (17.1% vs 8.0%), and chronic kidney diseases (6.2% vs 0%) was significantly higher than in COVID-19 patients without type 2 diabetes. The frequency and degree of abnormalities in computed tomography (CT) chest scans in COVID-19 patients with type 2 diabetes were markedly increased, including ground-glass opacity (85.6% vs 64.9%, P < 0.001) and bilateral patchy shadowing (76.7% vs 37.8%, P < 0.001). In addition, the levels of blood glucose (7.23 mmol·L-1 (interquartile range (IQR): 5.80-9.29) vs 5.46 mmol·L-1 (IQR: 5.00-6.46)), blood low-density lipoprotein cholesterol (LDL-C) (2.21 mmol·L-1 (IQR: 1.67-2.76) vs 1.75 mmol·L-1 (IQR: 1.27-2.01)), and systolic pressure (130 mmHg (IQR: 120-142) vs 122 mmHg (IQR: 110-137)) (1 mmHg = 133.3 Pa) in COVID-19 patients with diabetes were significantly higher than in patients without diabetes (P < 0.001). The coexistence of type 2 diabetes and other metabolic disorders is common in patients with COVID-19, which may potentiate the morbidity and aggravate COVID-19 progression. Optimal management of the metabolic hemostasis of glucose and lipids is the key to ensuring better clinical outcomes. Increased clinical vigilance is warranted for COVID-19 patients with diabetes and other metabolic diseases that are fundamental and chronic conditions.

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