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2.
Lipids Health Dis ; 21(1): 15, 2022 Jan 22.
Article in English | MEDLINE | ID: covidwho-1933141

ABSTRACT

BACKGROUND: Bile acids (BAs) not only play an important role in lipid metabolism and atherosclerosis but also have antiapoptotic and neuroprotective effects. However, few studies have focused on the relationship of the total bile acid (TBA) levels with the severity and prognosis of acute ischemic stroke (AIS). OBJECTIVES: The aim of this study was to investigate the potential associations of the fasting serum TBA levels on admission with the stroke severity, in-hospital complication incidence and 3 -month all-cause mortality in patients with AIS. METHODS: A total of 777 consecutive AIS patients were enrolled in this study and were divided into four groups according to the quartiles of the serum TBA levels on admission. Univariate and multivariate logistic regression analyses were used to explore the relationship between the fasting TBA levels and the stroke severity, in-hospital complications, and 3-month mortality in AIS patients. RESULTS: Patients in group Q3 had the lowest risk of severe AIS (NIHSS > 10) regardless of the adjustments for confounders (P < 0.05). During hospitalization, 115 patients (14.8%) had stroke progression (NIHSS score increased by ≥ 2), and 222 patients (28.6%) developed at least one complication, with no significant difference among the four groups (P > 0.05). There was no significant difference in the incidence of pneumonia, urinary tract infection (UTI), hemorrhagic transformation (HT), gastrointestinal bleeding (GIB), seizures or renal insufficiency (RI) among the four groups (P > 0.05). A total of 114 patients (14.7%) died from various causes (including in-hospital deaths) at the 3-month follow-up, including 42 (21.3%), 26 (13.3%), 19 (9.9%) and 27 (13.9%) patients in groups Q1, Q2, Q3 and Q4 respectively, with significant differences (P = 0.013). After adjusting for confounding factors, the risk of death decreased (P -trend < 0.05) in groups Q2, Q3, and Q4 when compared with group Q1, and the OR values were 0.36 (0.16-0.80), 0.30 (0.13-0.70), and 0.29 (0.13-0.65), respectively. CONCLUSIONS: TBA levels were inversely associated with the 3-month mortality of AIS patients but were not significantly associated with the severity of stroke or the incidence of complications.


Subject(s)
Bile Acids and Salts/blood , Ischemic Stroke/mortality , Aged , Female , Humans , Ischemic Stroke/blood , Ischemic Stroke/diagnosis , Male , Middle Aged , Patient Acuity , Prognosis , Risk Factors
3.
Cell ; 185(5): 860-871.e13, 2022 03 03.
Article in English | MEDLINE | ID: covidwho-1650841

ABSTRACT

The SARS-CoV-2 Omicron variant with increased fitness is spreading rapidly worldwide. Analysis of cryo-EM structures of the spike (S) from Omicron reveals amino acid substitutions forging interactions that stably maintain an active conformation for receptor recognition. The relatively more compact domain organization confers improved stability and enhances attachment but compromises the efficiency of the viral fusion step. Alterations in local conformation, charge, and hydrophobic microenvironments underpin the modulation of the epitopes such that they are not recognized by most NTD- and RBD-antibodies, facilitating viral immune escape. Structure of the Omicron S bound with human ACE2, together with the analysis of sequence conservation in ACE2 binding region of 25 sarbecovirus members, as well as heatmaps of the immunogenic sites and their corresponding mutational frequencies, sheds light on conserved and structurally restrained regions that can be used for the development of broad-spectrum vaccines and therapeutics.


Subject(s)
Immune Evasion/physiology , SARS-CoV-2/physiology , Spike Glycoprotein, Coronavirus/chemistry , Angiotensin-Converting Enzyme 2/chemistry , Angiotensin-Converting Enzyme 2/metabolism , Antibodies, Viral/immunology , Binding Sites , COVID-19/immunology , COVID-19/pathology , COVID-19/virology , Cryoelectron Microscopy , Humans , Mutagenesis, Site-Directed , Neutralization Tests , Protein Binding , Protein Domains/immunology , Protein Structure, Quaternary , SARS-CoV-2/isolation & purification , Spike Glycoprotein, Coronavirus/genetics , Spike Glycoprotein, Coronavirus/metabolism , Surface Plasmon Resonance , Virus Attachment
4.
Comput Biol Med ; 138: 104937, 2021 11.
Article in English | MEDLINE | ID: covidwho-1458880

ABSTRACT

Recently, an outbreak of a novel coronavirus disease (COVID-19) has reached pandemic proportions, and there is an urgent need to develop nutritional supplements to assist with prevention, treatment, and recovery. In this study, SARS-CoV-2 inhibitory peptides were screened from nut proteins in silico, and binding affinities of the peptides to the SARS-CoV-2 main protease (Mpro) and the spike protein receptor-binding domain (RBD) were evaluated. Peptide NDQF from peanuts and peptide ASGCGDC from almonds were found to have a strong binding affinity for both targets of the coronavirus. The binding sites of the NDQF and ASGCGDC peptides are highly consistent with the Mpro inhibitor N3. In addition, NDQF and ASGCGDC exhibited an effective binding affinity for amino acid residues Tyr453 and Gln493 of the spike RBD. Molecular dynamics simulation further confirmed that the NDQF and ASGCGDC peptides could bind stably to the SARS-COV-2 Mpro and spike RBD. In summary, nut protein may be helpful as nutritional supplements for COVID-19 patients, and the screened peptides could be considered a potential lead compound for designing entry inhibitors against SARS-CoV-2.


Subject(s)
COVID-19 , Nut Proteins , Antiviral Agents/pharmacology , Humans , Peptide Hydrolases , Peptides , SARS-CoV-2 , Spike Glycoprotein, Coronavirus
5.
Am J Med Sci ; 360(3): 229-235, 2020 09.
Article in English | MEDLINE | ID: covidwho-457308

ABSTRACT

BACKGROUND: The outbreak of the coronavirus disease (COVID-19) has led to a major concern and caused a pandemic globally. The goal of this study was to clarify the clinical characteristics of recovery and death in patients with severe or critical COVID-19. MATERIALS AND METHODS: In this retrospective single-center study, clinical data were collected from 74 severe or critical COVID-19 patients in Wuhan Fourth Hospital between Jan. 25th and Feb. 26th, 2020. All patients were divided into a recovery group or a death group according to clinical outcomes, and the differences between the groups were compared. RESULTS: Of the 74 patients enrolled in the study, 48 (64.9%) were severe cases and 26 (35.1%) were critical cases. Sixty (81.1%) patients were recovered and 14 (18.9%) died. Compared with recovery patients, patients in the death group were older, and had higher incidences of hypertension, coronary disease and dyspnea at admission. Laboratory tests for lactate dehydrogenase, creatine kinase, myoglobin, brain natriuretic peptide and D-dimer indicated higher levels in the death group. The PaO2:FiO2 ratio and minimum SpO2 were lower in the death group, and a higher proportion of these patients received noninvasive mechanical ventilation, invasive mechanical ventilation and extracorporeal membrane oxygenation treatment. CONCLUSIONS: Elderly patients with comorbidities are at higher risk of severe COVID-19 or death. Patients with a low blood gas index and poor coagulation function at admission had a high mortality rate. For such patients, comprehensive treatment should be performed as soon as possible to improve the prognosis and reduce mortality.


Subject(s)
Betacoronavirus , Coronavirus Infections/epidemiology , Coronavirus Infections/therapy , Critical Illness/epidemiology , Critical Illness/therapy , Pneumonia, Viral/epidemiology , Pneumonia, Viral/therapy , Severity of Illness Index , Adult , Aged , Aged, 80 and over , COVID-19 , Comorbidity , Coronary Artery Disease/diagnosis , Coronary Artery Disease/epidemiology , Coronary Artery Disease/therapy , Coronavirus Infections/diagnosis , Dyspnea/diagnosis , Dyspnea/epidemiology , Dyspnea/therapy , Female , Hospitalization/trends , Humans , Hypertension/diagnosis , Hypertension/epidemiology , Hypertension/therapy , Male , Middle Aged , Pandemics , Pneumonia, Viral/diagnosis , Retrospective Studies , SARS-CoV-2 , Treatment Outcome
6.
Nature ; 582(7812): 389-394, 2020 06.
Article in English | MEDLINE | ID: covidwho-147207

ABSTRACT

Sudden, large-scale and diffuse human migration can amplify localized outbreaks of disease into widespread epidemics1-4. Rapid and accurate tracking of aggregate population flows may therefore be epidemiologically informative. Here we use 11,478,484 counts of mobile phone data from individuals leaving or transiting through the prefecture of Wuhan between 1 January and 24 January 2020 as they moved to 296 prefectures throughout mainland China. First, we document the efficacy of quarantine in ceasing movement. Second, we show that the distribution of population outflow from Wuhan accurately predicts the relative frequency and geographical distribution of infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) until 19 February 2020, across mainland China. Third, we develop a spatio-temporal 'risk source' model that leverages population flow data (which operationalize the risk that emanates from epidemic epicentres) not only to forecast the distribution of confirmed cases, but also to identify regions that have a high risk of transmission at an early stage. Fourth, we use this risk source model to statistically derive the geographical spread of COVID-19 and the growth pattern based on the population outflow from Wuhan; the model yields a benchmark trend and an index for assessing the risk of community transmission of COVID-19 over time for different locations. This approach can be used by policy-makers in any nation with available data to make rapid and accurate risk assessments and to plan the allocation of limited resources ahead of ongoing outbreaks.


Subject(s)
Coronavirus Infections/epidemiology , Coronavirus Infections/transmission , Disease Outbreaks/statistics & numerical data , Pneumonia, Viral/epidemiology , Pneumonia, Viral/transmission , Population Dynamics/statistics & numerical data , Spatio-Temporal Analysis , Travel/statistics & numerical data , COVID-19 , China/epidemiology , Cities/epidemiology , Coronavirus Infections/diagnosis , Datasets as Topic , Geographic Mapping , Humans , Mobile Applications , Models, Biological , Pandemics , Pneumonia, Viral/diagnosis , Public Health/statistics & numerical data
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