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1.
Frontiers in molecular biosciences ; 7:157-157, 2020.
Article | WHO COVID | ID: covidwho-689155

ABSTRACT

Introduction: A recently emerging respiratory disease named coronavirus disease 2019 (COVID-19) has quickly spread across the world This disease is initiated by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and uncontrolled cytokine storm, but it remains unknown as to whether a robust antibody response is related to clinical deterioration and poor outcome in COVID-19 patients Methods: Anti-SARS-CoV-2 IgG and IgM antibodies were determined by chemiluminescence analysis (CLIA) in COVID-19 patients at a single center in Wuhan Median IgG and IgM levels in acute and convalescent-phase sera (within 35 days) for all included patients were calculated and compared between severe and non-severe patients Immune response phenotyping based on the late IgG levels and neutrophil-to-lymphocyte ratio (NLR) was characterized to stratified patients into different disease severities and outcomes Results: A total of 222 patients were included in this study IgG was first detected on day 4 of illness, and its peak levels occurred in the fourth week Severe cases were more frequently found in patients with high IgG levels, compared to those with low IgG levels (51 8 vs 32 3%;p = 0 008) Severity rates for patients with NLR(hi)IgG(hi), NLR(hi)IgG(lo), NLR(lo)IgG(hi), and NLR(lo)IgG(lo) phenotype were 72 3, 48 5, 33 3, and 15 6%, respectively (p < 0 0001) Furthermore, severe patients with NLR(hi)IgG(hi), NLR(hi)IgG(lo) had higher inflammatory cytokines levels including IL-2, IL-6 and IL-10, and decreased CD4+ T cell count compared to those with NLR(lo)IgG(lo) phenotype (p < 0 05) Recovery rates for severe patients with NLR(hi)IgG(hi), NLR(hi)IgG(lo), NLR(lo)IgG(hi), and NLR(lo)IgG(lo) phenotype were 58 8% (20/34), 68 8% (11/16), 80 0% (4/5), and 100% (12/12), respectively (p = 0 0592) Dead cases only occurred in NLR(hi)IgG(hi) and NLR(hi)IgG(lo) phenotypes Conclusions: COVID-19 severity is associated with increased IgG response, and an immune response phenotyping based on the late IgG response and NLR could act as a simple complementary tool to discriminate between severe and non-severe COVID-19 patients, and further predict their clinical outcome

2.
Int Immunopharmacol ; 86: 106746, 2020 Jun 26.
Article in English | MEDLINE | ID: covidwho-621766

ABSTRACT

BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused coronavirus disease 2019 (COVID-19) epidemic in China, December 2019. The clinical features and treatment of COVID-19 patients remain largely elusive. However, accurate detection is required for SARS-CoV-2 infection diagnosis. We aimed to evaluate the antibodies-based test and nucleic acid-based test for SARS-CoV-2-infected patients. METHODS: We retrospectively studied 133 patients diagnosed with SARS-CoV-2 and admitted to Renmin Hospital of Wuhan University, China, from January 23 to March 1, 2020. Demographic data, clinical records, laboratory tests, and outcomes were collected. Data were accessed by SARS-CoV-2 IgM-IgG antibody test and real-time reverse transcriptase PCR (RT-PCR) detection for SARS-CoV-2 nucleic acid in COVID-19 patients. RESULTS: Of 133 COVID-19 patients, there were 44 moderate cases, 52 severe cases, and 37 critical cases with no differences in gender and age among three subgroups. In RT-PCR detection, the positive rate was 65.9%, 71.2%, and 67.6% in moderate, severe, and critical cases, respectively. Whereas the positive rate of IgM/IgG antibody detection in patients was 79.5%/93.2%, 82.7%/100%, and 73.0%/97.3% in moderate, severe, and critical cases, respectively. Moreover, the IgM and IgG antibodies concentrations were also examined with no differences among three subgroups. CONCLUSION: The IgM-IgG antibody test exhibited a useful adjunct to RT-PCR detection, and improved the accuracy in COVID-19 diagnosis regardless of the severity of illness, which provides an effective complement to the false-negative results from a nucleic acid test for SARS-CoV-2 infection diagnosis after onsets.

5.
Emerg Microbes Infect ; 9(1): 1123-1130, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-457402

ABSTRACT

Since the outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, China, it has rapidly spread across many other countries. While the majority of patients were considered mild, critically ill patients involving respiratory failure and multiple organ dysfunction syndrome are not uncommon, which could result death. We hypothesized that cytokine storm is associated with severe outcome. We enrolled 102 COVID-19 patients who were admitted to Renmin Hospital (Wuhan, China). All patients were classified into moderate, severe and critical groups according to their symptoms. 45 control samples of healthy volunteers were also included. Inflammatory cytokines and C-Reactive Protein (CRP) profiles of serum samples were analyzed by specific immunoassays. Results showed that COVID-19 patients have higher serum level of cytokines (TNF-α, IFN-γ, IL-2, IL-4, IL-6 and IL-10) and CRP than control individuals. Within COVID-19 patients, serum IL-6 and IL-10 levels are significantly higher in critical group (n = 17) than in moderate (n = 42) and severe (n = 43) group. The levels of IL-10 is positively correlated with CRP amount (r = 0.41, P < 0.01). Using univariate logistic regression analysis, IL-6 and IL-10 are found to be predictive of disease severity and receiver operating curve analysis could further confirm this result (AUC = 0.841, 0.822 respectively). Our result indicated higher levels of cytokine storm is associated with more severe disease development. Among them, IL-6 and IL-10 can be used as predictors for fast diagnosis of patients with higher risk of disease deterioration. Given the high levels of cytokines induced by SARS-CoV-2, treatment to reduce inflammation-related lung damage is critical.


Subject(s)
Coronavirus Infections/diagnosis , Interleukin-10/blood , Interleukin-6/blood , Pneumonia, Viral/diagnosis , Betacoronavirus , Biomarkers/blood , C-Reactive Protein/analysis , China , Coronavirus Infections/immunology , Coronavirus Infections/physiopathology , Critical Illness , Cytokine Release Syndrome/immunology , Cytokine Release Syndrome/virology , Cytokines/blood , Humans , Pandemics , Pneumonia, Viral/immunology , Pneumonia, Viral/physiopathology
6.
Clin Chim Acta ; 508: 110-114, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-245497

ABSTRACT

BACKGROUND: We observe changes of the main lymphocyte subsets (CD16+CD56、CD19、CD3、CD4、and CD8) in COVID-19-infected patients and explore whether the changes are associated with disease severity. METHODS: One-hundred and fifty-four cases of COVID-19-infected patients were selected and divided into 3 groups (moderate group, severe group and critical group). The flow cytometry assay was performed to examine the numbers of lymphocyte subsets. RESULTS: CD3+, CD4+ and CD8 + T lymphocyte subsets were decreased in COVID-19-infected patients. Compared with the moderate group and the sever group, CD3+, CD4+ and CD8+ T cells in the critical group decreased greatly (P < 0.001, P = 0.005 or P = 0.001). CONCLUSIONS: Reduced CD3+, CD4+, CD8+ T lymphocyte counts may reflect the severity of the COVID-19. Monitoring T cell changes has important implications for the diagnosis and treatment of severe patients who may become critically ill.


Subject(s)
Betacoronavirus/pathogenicity , Cardiovascular Diseases/diagnosis , Coronavirus Infections/diagnosis , Diabetes Mellitus/diagnosis , Lung Diseases/diagnosis , Pneumonia, Viral/diagnosis , T-Lymphocyte Subsets/pathology , Aged , Aged, 80 and over , Biomarkers/analysis , CD3 Complex/genetics , CD3 Complex/immunology , CD4 Antigens/genetics , CD4 Antigens/immunology , CD8 Antigens/genetics , CD8 Antigens/immunology , Cardiovascular Diseases/immunology , Cardiovascular Diseases/mortality , Cardiovascular Diseases/physiopathology , Cohort Studies , Comorbidity , Coronavirus Infections/immunology , Coronavirus Infections/mortality , Coronavirus Infections/physiopathology , Diabetes Mellitus/immunology , Diabetes Mellitus/mortality , Diabetes Mellitus/physiopathology , Female , Gene Expression , Humans , Immunophenotyping , Lung Diseases/immunology , Lung Diseases/mortality , Lung Diseases/physiopathology , Male , Middle Aged , Pandemics , Patient Selection , Pneumonia, Viral/immunology , Pneumonia, Viral/mortality , Pneumonia, Viral/physiopathology , Prognosis , Severity of Illness Index , Survival Analysis , T-Lymphocyte Subsets/immunology , T-Lymphocyte Subsets/virology
7.
Clin Chem Lab Med ; 58(7): 1121-1124, 2020 06 25.
Article in English | MEDLINE | ID: covidwho-52616

ABSTRACT

Background Among patients with coronavirus disease 2019 (COVID-19), the cases of a significant proportion of patients are severe. A viral nucleic acid test is used for the diagnosis of COVID-19, and some hematological indicators have been used in the auxiliary diagnosis and identification of the severity of COVID-19. Regarding body fluid samples, except for being used for nucleic acid testing, the relationship between COVID-19 and routine body fluid parameters is not known. Our aim was to investigate the value of urine biochemical parameters in the prediction of the severity of COVID-19. Methods A total of 119 patients with COVID-19 were enrolled at Renmin Hospital of Wuhan University. According to the severity of COVID-19, the patients were divided into three groups (moderate 67, severe 42 and critical 10), and 45 healthy persons were enrolled in the same period as healthy controls. The relationship between the results of urine biochemical parameters and the severity of COVID-19 was analyzed. Results The positive rates of urine occult blood (BLOOD) and proteinuria (PRO) were higher in COVID-19 patients than in healthy controls (p < 0.05); the urine specific gravity (SG) value was lower in patients than in healthy controls (p < 0.05), and the urine potential of hydrogen (pH) value was higher in patients than in healthy controls (p < 0.01). The positive rates of urine glucose (GLU-U) and PRO in the severe and critical groups were higher than those in the moderate group (p < 0.01 and p < 0.05, respectively); other biochemical parameters of urine were not associated with the severity of COVID-19. Conclusions Some urine biochemical parameters are different between patients with severe acute respiratory syndrome (SARS)-CoV-2 and healthy controls, and GLU-U and PRO may be helpful for the differentiation of COVID-19 severity.


Subject(s)
Biomarkers/urine , Coronavirus Infections/urine , Pneumonia, Viral/urine , Urine/chemistry , Aged , Betacoronavirus/metabolism , Betacoronavirus/pathogenicity , Coronavirus/metabolism , Coronavirus/pathogenicity , Coronavirus Infections/metabolism , Female , Humans , Male , Middle Aged , Pandemics , Pneumonia, Viral/metabolism , Severity of Illness Index
8.
J Med Virol ; 92(7): 819-823, 2020 07.
Article in English | MEDLINE | ID: covidwho-20482

ABSTRACT

An outbreak of severe acute respiratory syndrome novel coronavirus (SARS-CoV-2) epidemic spreads rapidly worldwide. SARS-CoV-2 infection caused mildly to seriously and fatally respiratory, enteric, cardiovascular, and neurological diseases. In this study, we detected and analyzed the main laboratory indicators related to heart injury, creatine kinase isoenzyme-MB (CK-MB), myohemoglobin (MYO), cardiac troponin I (ultra-TnI), and N-terminal pro-brain natriuretic peptide (NT-proBNP), in 273 patients with COVID-19 and investigated the correlation between heart injury and severity of the disease. It was found that higher concentration in venous blood of CK-MB, MYO, ultra-TnI, and NT-proBNP were associated with the severity and case fatality rate of COVID-19. Careful monitoring of the myocardiac enzyme profiles is of great importance in reducing the complications and mortality in patients with COVID-19.


Subject(s)
Betacoronavirus/pathogenicity , Coronavirus Infections/diagnosis , Creatine Kinase, MB Form/blood , Heart Injuries/diagnosis , Myoglobin/blood , Natriuretic Peptide, Brain/blood , Peptide Fragments/blood , Pneumonia, Viral/diagnosis , Troponin I/blood , Adult , Aged , Biomarkers/blood , China , Coronavirus Infections/blood , Coronavirus Infections/complications , Coronavirus Infections/mortality , Female , Heart Injuries/blood , Heart Injuries/complications , Heart Injuries/mortality , Hospitals , Humans , Male , Middle Aged , Pandemics , Pneumonia, Viral/blood , Pneumonia, Viral/complications , Pneumonia, Viral/mortality , Retrospective Studies , Severity of Illness Index , Survival Analysis
9.
Clin Chim Acta ; 505: 172-175, 2020 Jun.
Article in English | MEDLINE | ID: covidwho-5447

ABSTRACT

BACKGROUND: There's an outbreak of a novel coronavirus (SARS-CoV-2) infection since December 2019, first in China, and currently with more than 80 thousand confirmed infection globally in 29 countries till March 2, 2020. Identification, isolation and caring for patients early are essential to limit human-to-human transmission including reducing secondary infections among close contacts and health care workers, preventing transmission amplification events. The RT-PCR detection of viral nucleic acid test (NAT) was one of the most quickly established laboratory diagnosis method in a novel viral pandemic, just as in this COVID-19 outbreak. METHODS: 4880 cases that had respiratory infection symptoms or close contact with COVID-19 patients in hospital in Wuhan, China, were tested for SARS-CoV-2 infection by use of quantitative RT-PCR (qRT-PCR) on samples from the respiratory tract. Positive rates were calculated in groups divided by genders or ages. RESULTS: The positive rate was about 38% for the total 4880 specimens. Male and older population had a significant higher positive rates. However, 57% was positive among the specimens from the Fever Clinics. Binary logistic regression analysis showed that age, not gender, was the risk factor for SARS-CoV-2 infection in fever clinics. CONCLUSIONS: Therefore, we concluded that viral NAT played an important role in identifying SARS-CoV-2 infection.


Subject(s)
Betacoronavirus/chemistry , Coronavirus Infections/diagnosis , DNA, Viral/analysis , Pneumonia, Viral/diagnosis , Real-Time Polymerase Chain Reaction/methods , Adolescent , Adult , Age Factors , Aged , Bronchoalveolar Lavage Fluid/virology , China/epidemiology , Clinical Laboratory Techniques , Coronavirus Infections/epidemiology , Disease Outbreaks , Female , Humans , Male , Middle Aged , Nucleocapsid/chemistry , Nucleocapsid/genetics , Pandemics , Pneumonia, Viral/epidemiology , Respiratory System/virology , Risk Factors , Sex Factors , Sputum/virology , Young Adult
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