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1.
Front Immunol ; 11: 580237, 2020.
Article in English | MEDLINE | ID: covidwho-1116681

ABSTRACT

Background: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) induced Coronavirus Disease 2019 (COVID-19) has posed a global threat to public health. The immune system is crucial in defending and eliminating the virus and infected cells. However, immune dysregulation may result in the rapid progression of COVID-19. Here, we evaluated the subsets, phenotypic and functional characteristics of natural killer (NK) and T cells in patients with COVID-19 and their associations with disease severity. Methods: Demographic and clinical data of COVID-19 patients enrolled in Wuhan Union Hospital from February 25 to February 27, 2020, were collected and analyzed. The phenotypic and functional characteristics of NK cells and T cells subsets in circulating blood and serum levels of cytokines were analyzed via flow cytometry. Then the LASSO logistic regression model was employed to predict risk factors for the severity of COVID-19. Results: The counts and percentages of NK cells, CD4+ T cells, CD8+ T cells and NKT cells were significantly reduced in patients with severe symptoms. The cytotoxic CD3-CD56dimCD16+ cell population significantly decreased, while the CD3-CD56dimCD16- part significantly increased in severe COVID-19 patients. More importantly, elevated expression of regulatory molecules, such as CD244 and programmed death-1 (PD-1), on NK cells and T cells, as well as decreased serum cytotoxic effector molecules including perforin and granzyme A, were detected in patients with COVID-19. The serum IL-6, IL-10, and TNF-α were significantly increased in severe patients. Moreover, the CD3-CD56dimCD16- cells were screened out as an influential factor in severe cases by LASSO logistic regression. Conclusions: The functional exhaustion and other subset alteration of NK and T cells may contribute to the progression and improve the prognosis of COVID-19. Surveillance of lymphocyte subsets may in the future enable early screening for signs of critical illness and understanding the pathogenesis of this disease.


Subject(s)
CD8-Positive T-Lymphocytes/cytology , COVID-19/blood , Killer Cells, Natural/cytology , SARS-CoV-2/physiology , Adult , Aged , CD8-Positive T-Lymphocytes/immunology , COVID-19/epidemiology , COVID-19/immunology , COVID-19/virology , China/epidemiology , Female , Flow Cytometry , Humans , Killer Cells, Natural/immunology , Leukocyte Count , Male , Middle Aged , Pandemics , Prognosis , SARS-CoV-2/genetics , T-Lymphocyte Subsets/cytology , T-Lymphocyte Subsets/immunology
2.
Int J Obes (Lond) ; 44(12): 2479-2485, 2020 12.
Article in English | MEDLINE | ID: covidwho-759569

ABSTRACT

BACKGROUND: Since December 2019, novel coronavirus (SARS-CoV-2)-induced pneumonia (COVID-19) occurred in Wuhan, and rapidly spread throughout China. COVID-19 patients demonstrated significantly different outcomes in clinic. We aimed to figure out whether obesity is a risk factor influencing the progression and prognosis of COVID-19. METHODS: 95 patients with COVID-19 were divided into obesity group and non-obesity group according to their body mass index (BMI). The demographic data, clinical characteristics, laboratory examination, and chest computed tomography (CT) were collected, analyzed and compared between two groups. RESULTS: Our data showed that COVID-19 patients with obesity had more underlying diseases and higher mortality rate compared to those without obesity. Furthermore, patients with obesity also demonstrated more severe pathological change in lung and higher blood lymphocytes, triglycerides, IL-6, CRP, cystatin C, alanine aminotransferase (ALT), erythrocyte sedimentation rate (ESR), which may greatly influence disease progression and poor prognosis of COVID-19. CONCLUSIONS: It suggest that obesity contributes to clinical manifestations and may influence the progression and prognosis of COVID-19 and it is considered as a potential risk factor of the prognosis of COVID-19. Special medical care and appropriate intervention should be performed in obesity patients with COVID-19 during hospitalization and later clinical follow-up, especially for those with additional other comorbidities.


Subject(s)
COVID-19/physiopathology , Obesity/virology , COVID-19/blood , COVID-19/epidemiology , COVID-19/pathology , Cytokines/blood , Humans , Lung/diagnostic imaging , Lung/pathology , Obesity/blood , Obesity/epidemiology , Obesity/physiopathology , Pandemics , Risk Factors , SARS-CoV-2/isolation & purification , Tomography, X-Ray Computed
3.
J Med Virol ; 92(11): 2675-2683, 2020 11.
Article in English | MEDLINE | ID: covidwho-505549

ABSTRACT

The outbreak of COVID-19, caused by severe acute respiratory syndrome coronavirus 2, started in December 2019, Wuhan, China. We aimed to figure out the time-point and duration of using antiviral drugs for receiving the maximal effects in patients with COVID-19. In this study, we enrolled 129 confirmed COVID-19 mild to moderate patients who had been treated with antiviral drugs during their hospitalization in Wuhan Union Hospital China. The patients were divided into an early antiviral treatment group and late antiviral treatment group. The demographic data, laboratory tests, the virus clearance time, chest computed tomography scans, and so forth were extracted, calculated, and compared between two groups. Our data showed that the median time from illness onset to initiation of antiviral treatment was 6 days in all patients. The group with early antiviral treatment demonstrated 7 days shorter in the virus clearance time when compared to the group with late antiviral treatment. After virus clearance, the group with early antiviral treatment showed milder illness than the group with late antiviral treatment. Early antiviral treatment could effectively shorten the virus clearance time, and prevent the rapid progression of COVID-19. Therefore, the COVID-19 patients should receive combined therapies with antiviral treatment at an early stage.


Subject(s)
Antiviral Agents/therapeutic use , COVID-19 Drug Treatment , Viral Load/drug effects , Adult , Aged , Aged, 80 and over , Antiviral Agents/administration & dosage , China , Comorbidity , Drug Administration Schedule , Female , Humans , Male , Middle Aged , Retrospective Studies , Thorax/diagnostic imaging , Time Factors , Tomography, X-Ray Computed , Young Adult
4.
Nutr Metab Cardiovasc Dis ; 30(7): 1061-1067, 2020 06 25.
Article in English | MEDLINE | ID: covidwho-71938

ABSTRACT

BACKGROUND AND AIM: A novel coronavirus severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) caused pneumonia, Coronavirus Disease 2019 (COVID-19), broke out in Wuhan, China in December 2019, and spread all over the world. Patients with COVID-19 showed huge differences in the hospital stay, progression, and prognosis. As reported, the comorbidities may play an important role in COVID-19. Here, we aim to address the role of cardiovascular disease (CVD) in the progression and prognosis of COVID-19. METHODS AND RESULTS: Eighty-three confirmed COVID-19 patients were divided into CVD (n = 42) and non-CVD (n = 41) group according to their medical history. Medical records including demographic data, medical history, clinical characteristics, laboratory examinations, chest computed tomography (CT), and treatment measures were collected, analyzed, and compared between the two groups. COVID-19 patients with CVD showed (1) more severe pathological changes in the lungs, (2) elevated injury-related enzymes including α-hydroxybutyrate dehydrogenase (HDBH), lactic dehydrogenase (LDH), γ-glutamyltransferase (GGT), creatine kinase (CK), and alanine aminotransferase (ALT), (3) significantly increased uncontrolled inflammation related markers, such as c-reactive protein (CRP), interleukin (IL)-6, serum ferritin, erythrocyte sedimentation rate (ESR), and serum amyloid A (SAA), (4) serious hypercoagulable status reflected by increased D-dimer and serum fibrinogen (FIB), and (5) higher mortality, compared to COVID-19 patients without CVD. CONCLUSIONS: Our data indicated that CVD is a strong risk factor for rapid progression and bad prognosis of COVID-19. More intensive medical care should be applied to patients with CVD to prevent rapid deterioration of the disease.


Subject(s)
Betacoronavirus , Cardiovascular Diseases/epidemiology , Cause of Death , Coronavirus Infections/epidemiology , Disease Outbreaks/statistics & numerical data , Disease Progression , Pneumonia, Viral/epidemiology , Adult , Aged , Biomarkers/blood , Blood Chemical Analysis , C-Reactive Protein/metabolism , COVID-19 , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/therapy , China/epidemiology , Cohort Studies , Comorbidity , Coronavirus Infections/diagnosis , Coronavirus Infections/therapy , Databases, Factual , Female , Humans , Male , Middle Aged , Pandemics , Pneumonia, Viral/diagnosis , Pneumonia, Viral/therapy , Reference Values , Retrospective Studies , SARS-CoV-2 , Survival Analysis , Tomography, X-Ray Computed/methods
5.
Diabetes Metab Res Rev ; : e3319, 2020 Mar 31.
Article in English | MEDLINE | ID: covidwho-20583

ABSTRACT

BACKGOUND: To figure out whether diabetes is a risk factor influencing the progression and prognosis of 2019 novel coronavirus disease (COVID-19). METHODS: A total of 174 consecutive patients confirmed with COVID-19 were studied. Demographic data, medical history, symptoms and signs, laboratory findings, chest computed tomography (CT) as well the treatment measures were collected and analysed. RESULTS: We found that COVID-19 patients without other comorbidities but with diabetes (n = 24) were at higher risk of severe pneumonia, release of tissue injury-related enzymes, excessive uncontrolled inflammation responses and hypercoagulable state associated with dysregulation of glucose metabolism. Furthermore, serum levels of inflammation-related biomarkers such as IL-6, C-reactive protein, serum ferritin and coagulation index, D-dimer, were significantly higher (P < .01) in diabetic patients compared with those without, suggesting that patients with diabetes are more susceptible to an inflammatory storm eventually leading to rapid deterioration of COVID-19. CONCLUSIONS: Our data support the notion that diabetes should be considered as a risk factor for a rapid progression and bad prognosis of COVID-19. More intensive attention should be paid to patients with diabetes, in case of rapid deterioration.

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