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1.
Preprint in English | bioRxiv | ID: ppbiorxiv-919183

ABSTRACT

Emerging and re-emerging infectious diseases, such as SARS, MERS, Zika and highly pathogenic influenza present a major threat to public health1-3. Despite intense research effort, how, when and where novel diseases appear are still the source of considerable uncertainly. A severe respiratory disease was recently reported in the city of Wuhan, Hubei province, China. At the time of writing, at least 62 suspected cases have been reported since the first patient was hospitalized on December 12nd 2019. Epidemiological investigation by the local Center for Disease Control and Prevention (CDC) suggested that the outbreak was associated with a sea food market in Wuhan. We studied seven patients who were workers at the market, and collected bronchoalveolar lavage fluid (BALF) from one patient who exhibited a severe respiratory syndrome including fever, dizziness and cough, and who was admitted to Wuhan Central Hospital on December 26th 2019. Next generation metagenomic RNA sequencing4 identified a novel RNA virus from the family Coronaviridae designed WH-Human-1 coronavirus (WHCV). Phylogenetic analysis of the complete viral genome (29,903 nucleotides) revealed that WHCV was most closely related (89.1% nucleotide similarity similarity) to a group of Severe Acute Respiratory Syndrome (SARS)-like coronaviruses (genus Betacoronavirus, subgenus Sarbecovirus) previously sampled from bats in China and that have a history of genomic recombination. This outbreak highlights the ongoing capacity of viral spill-over from animals to cause severe disease in humans.

3.
Chinese Medical Journal ; (24): 1660-1665, 2019.
Article in English | WPRIM (Western Pacific) | ID: wpr-771195

ABSTRACT

BACKGROUND@#Acute kidney injury (AKI) is a serious and fatal complication of acute myocardial infarction (AMI). It has high short- and long-term mortality rates and a poor prognosis but is potentially preventable. However, the current incidence, risk factors, and outcomes of AKI in the Chinese population are not well understood and would serve the first step to identify high-risk patients who could receive preventative care.@*METHODS@#The medical data of 1124 hospitalized patients diagnosed with AMI from October 2013 to September 2015 were reviewed. AKI was defined according to the 2012 Kidney Disease Improving Global Outcomes criteria. All the patients were divided into either the AKI group or the non-AKI group. A univariate comparison analysis was performed to identify possible risk factors associated with AKI. A multiple logistic regression analysis was used to identify the independent risk factors for AKI in patients with AMI.@*RESULTS@#Overall, the incidence of AKI was 26.0%. The mortality rate of the AKI group was 20.5%, and the mortality rate of the non-AKI group was 0.6% (P 60 years old) (odds ratio [OR] 1.04, 95% confidence interval [CI] 1.02-1.05, P = 0.000), hypertension (OR 2.51, 95% CI 1.62-3.87, P = 0.000), chronic kidney disease (OR 3.52, 95% CI 2.01-6.16, P = 0.000), Killip class ≥3 (OR 5.22, 95% CI 3.07-8.87, P = 0.000), extensive anterior myocardial infarction (OR 3.02, 95% CI 1.85-4.93, P = 0.000), use of furosemide (OR 1.02, 95% CI 1.02-1.03, P = 0.000), non-use of angiotensin-converting enzyme inhibitors/angiotensin receptor blocker (OR 1.58, 95% CI 1.04-2.40, P = 0.032). These factors provided an accurate tool to identify patients at high risk of developing AKI.@*CONCLUSIONS@#Approximately 26.0% of patients undergoing AMI developed AKI, and the development of AKI was strongly correlated with in-hospital mortality. The risk factors for AKI in patients with AMI were determined to help identify high-risk patients and make appropriate clinical decisions.

4.
Chinese Medical Journal ; (24): 1660-1665, 2019.
Article in English | WPRIM (Western Pacific) | ID: wpr-802623

ABSTRACT

Background@#Acute kidney injury (AKI) is a serious and fatal complication of acute myocardial infarction (AMI). It has high shortand long-term mortality rates and a poor prognosis but is potentially preventable. However, the current incidence, risk factors, and outcomes of AKI in the Chinese population are not well understood and would serve the first step to identify high-risk patients who could receive preventative care.@*Methods@#The medical data of 1124 hospitalized patients diagnosed with AMI from October 2013 to September 2015 were reviewed. AKI was defined according to the 2012 Kidney Disease Improving Global Outcomes criteria. All the patients were divided into either the AKI group or the non-AKI group. A univariate comparison analysis was performed to identify possible risk factors associated with AKI. A multiple logistic regression analysis was used to identify the independent risk factors for AKI in patients with AMI.@*Results@#Overall, the incidence of AKI was 26.0%. The mortality rate of the AKI group was 20.5%, and the mortality rate of the non-AKI group was 0.6% (P < 0.001). Logistic regression analysis showed that the independent risk factors for AKI in patients with AMI included: age (>60 years old) (odds ratio [OR] 1.04, 95% confidence interval [CI] 1.02–1.05, P = 0.000), hypertension (OR 2.51, 95% CI 1.62–3.87, P = 0.000), chronic kidney disease (OR 3.52, 95% CI 2.01–6.16, P = 0.000), Killip class ≥3 (OR 5.22, 95% CI 3.07–8.87, P = 0.000), extensive anterior myocardial infarction (OR 3.02, 95% CI 1.85–4.93, P = 0.000), use of furosemide (OR 1.02, 95% CI 1.02–1.03, P = 0.000), non-use of angiotensin-converting enzyme inhibitors/angiotensin receptor blocker (OR 1.58, 95% CI 1.04–2.40, P = 0.032). These factors provided an accurate tool to identify patients at high risk of developing AKI.@*Conclusions@#Approximately 26.0% of patients undergoing AMI developed AKI, and the development of AKI was strongly correlated with in-hospital mortality. The risk factors for AKI in patients with AMI were determined to help identify high-risk patients and make appropriate clinical decisions.

5.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-813537

ABSTRACT

OBJECTIVE@#To explore the effects of exogenous transforming growth factor-beta 1 (TGFbeta1) on peripheral nerve regeneration after the peripheral nerve injury and if TGFbeta1 regulates the expression of basic fibroblast growth factor (bFGF) in the anterior horn motoneurons of spinal cord during regeneration.@*METHODS@#Forty-eight rats were crushed on the right sciatic nerve and then randomly divided into 2 groups: TGFbeta1 group and NS group. In TGFbeta1 group, TGFbeta1 50 microL (0.1 microg/mL) was injected into the proximal nerve near to the crushed nerve and after the operation the injured leg was injected with equal TGFbeta1 whereas the NS was replaced in the NS group. The rats of each group survived for 3, 7, 14 and 21 days after the lesion. The bFGF expression in the anterior horn motoneurons of spinal cord was detected by immunohistochemistry (IHC). Semi-thin section and Fast Blue retrograde tracing were also performed with the rats surviving for 21 days to observe the regeneration of distal end in the injured right sciatic nerve.@*RESULTS@#The number of bFGF immunoreactive positive motoneurons in TGFbeta1 group was obviously higher than that of the NS group (P < 0.05). In the distal sciatic nerve of the rats treated with TGFbeta1, the number and diameter of regenerating myelinated axons and the thickness of myelinated sheath were more than those of the NS group (P < 0.05). The number of motoneurons in spinal cord and neurons in dorsol root ganglia (DRG) labelled with Fast Blue in the NS group was obviously lower than in the TGFbeta1 group (P < 0.01).@*CONCLUSION@#Exogenous TGFbeta1 plays an important role in promoting the peripheral nerve regeneration; TGFbeta1 up-regulates the bFGF expression in the anterior horn motoneurons of spinal cord during the peripheral nerve regeneration.


Subject(s)
Animals , Female , Male , Rats , Fibroblast Growth Factor 2 , Genetics , Motor Neurons , Metabolism , Nerve Regeneration , Random Allocation , Rats, Sprague-Dawley , Sciatic Nerve , Wounds and Injuries , Metabolism , Physiology , Spinal Cord , Metabolism , Transforming Growth Factor beta , Pharmacology , Transforming Growth Factor beta1
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