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1.
Iran Biomed J ; 25(6): 381-9, 2021 11 01.
Article in English | MEDLINE | ID: covidwho-1599259

ABSTRACT

Background: Lung injury is common in coronavirus disease 2019 (COVID-19) patients. The severity of lung injury appears to be reflected in serum Krebs von den Lungen-6 (KL-6), a glycoprotein expressed on type II alveolar epithelium. This study aims to assess the role of serum KL-6 in reflecting the severity of lung injury in COVID-19 patients. Methods: A systematic search was conducted in Scopus, PubMed, Wiley Online Library, and ProQuest. Articles were screened based on several eligibility criteria and assessed for study quality using Newcastle-Ottawa Scale. Results: This systematic review included four studies involving a total of 151 adult COVID-19 patients. Pooled analysis revealed that serum KL-6 was significantly higher in severe patients (SMD = 1.16; 95% CI = 0.69­1.63) with moderately high pooled sensitivity (79%; 95% CI = 61­91%) and specificity (86%; 95% CI = 72­95%). Conclusion: High serum KL-6 may depict more severe lung injury in COVID-19 patients with moderately high sensitivity and specificity.


Subject(s)
COVID-19/complications , Lung Injury/diagnosis , Lung Injury/virology , Mucin-1/blood , Severity of Illness Index , Biomarkers/blood , COVID-19/blood , COVID-19/diagnosis , Humans , Lung Injury/blood , Sensitivity and Specificity
2.
J Coll Physicians Surg Pak ; 32(1): 37-41, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1599461

ABSTRACT

OBJECTIVE: To determine the efficacy and cut-off values of C-reactive protein (CRP), lactate dehydrogenase (LDH), serum ferritin, and D-dimer for predicting mortality of COVID-19 infection. STUDY DESIGN: Observational study. PLACE AND DURATION OF STUDY: Department of Medicine, Jinnah Hospital, Lahore from January to May 2021. METHODOLOGY: Serum CRP, LDH, ferritin, and D-dimer were measured in patients with moderate to severe COVID-19 infection at admission. Patients were followed for in-hospital disease outcome. ROC curve was used to determine area under curve (AUC) and cut-off values of biomarkers, followed by multi-variate analysis by logistic regression. RESULTS: In 386 patients, male to female ratio was 1.47/1 (230/156); and mean age was 54.03 ± 16.2 years. Disease was fatal in 135 (35%) patients. AUC for mortality was 0.730 for LDH, 0.737 for CRP, 0.747 for ferritin and 0.758 for D-dimer. Mortality was higher with LDH ≥400 U/ml, Odds Ratio (OR) 5.37 (95% CI 3.01-9.57: p = 0.001), CRP ≥30 ng/L, OR 4.30 (95% CI 2.11-8.74: p = <0.001), serum ferritin ≥200 ng/ml, OR 4.13 (95% CI 1.05-16.2: p = 0.02), and D-dimer ≥400 ng/ml, OR 2.72 (95% CI 1.06-7.01: p = 0.03) with 2 log likelihood of 131.54 for predicting disease outcome with 71.7% accuracy in multi-variate analysis. CONCLUSION: Elevated serum CRP, LDH, ferritin and D-dimer are associated with higher mortality in patients of COVID-19 infection. Serum CRP ≥30ng/ml, LDH ≥400 U/L, ferritin ≥200 ng/ml and D-dimer ≥400 ng/ml can predict fatal outcome in COVID-19 patients. Key Words: C-reactive protein (CRP), COVID-19 infection, D-dimer, Ferritin, Lactate dehydrogenase (LDH), Mortality.


Subject(s)
Biomarkers/blood , COVID-19 , Adult , Aged , C-Reactive Protein/analysis , COVID-19/mortality , Female , Ferritins/blood , Fibrin Fibrinogen Degradation Products/analysis , Humans , L-Lactate Dehydrogenase/blood , Male , Middle Aged , Prognosis , ROC Curve , Retrospective Studies
3.
Metabolomics ; 18(1): 6, 2021 12 20.
Article in English | MEDLINE | ID: covidwho-1588749

ABSTRACT

INTRODUCTION: The diagnosis of COVID-19 is normally based on the qualitative detection of viral nucleic acid sequences. Properties of the host response are not measured but are key in determining outcome. Although metabolic profiles are well suited to capture host state, most metabolomics studies are either underpowered, measure only a restricted subset of metabolites, compare infected individuals against uninfected control cohorts that are not suitably matched, or do not provide a compact predictive model. OBJECTIVES: Here we provide a well-powered, untargeted metabolomics assessment of 120 COVID-19 patient samples acquired at hospital admission. The study aims to predict the patient's infection severity (i.e., mild or severe) and potential outcome (i.e., discharged or deceased). METHODS: High resolution untargeted UHPLC-MS/MS analysis was performed on patient serum using both positive and negative ionization modes. A subset of 20 intermediary metabolites predictive of severity or outcome were selected based on univariate statistical significance and a multiple predictor Bayesian logistic regression model was created. RESULTS: The predictors were selected for their relevant biological function and include deoxycytidine and ureidopropionate (indirectly reflecting viral load), kynurenine (reflecting host inflammatory response), and multiple short chain acylcarnitines (energy metabolism) among others. Currently, this approach predicts outcome and severity with a Monte Carlo cross validated area under the ROC curve of 0.792 (SD 0.09) and 0.793 (SD 0.08), respectively. A blind validation study on an additional 90 patients predicted outcome and severity at ROC AUC of 0.83 (CI 0.74-0.91) and 0.76 (CI 0.67-0.86). CONCLUSION: Prognostic tests based on the markers discussed in this paper could allow improvement in the planning of COVID-19 patient treatment.


Subject(s)
COVID-19/blood , Chromatography, Liquid/methods , Metabolomics/methods , Tandem Mass Spectrometry/methods , Aged , Biomarkers/blood , Female , Humans , Male , Middle Aged , Prognosis , SARS-CoV-2 , Severity of Illness Index
4.
Signal Transduct Target Ther ; 6(1): 427, 2021 12 16.
Article in English | MEDLINE | ID: covidwho-1585887

ABSTRACT

Abnormal glucose and lipid metabolism in COVID-19 patients were recently reported with unclear mechanism. In this study, we retrospectively investigated a cohort of COVID-19 patients without pre-existing metabolic-related diseases, and found new-onset insulin resistance, hyperglycemia, and decreased HDL-C in these patients. Mechanistically, SARS-CoV-2 infection increased the expression of RE1-silencing transcription factor (REST), which modulated the expression of secreted metabolic factors including myeloperoxidase, apelin, and myostatin at the transcriptional level, resulting in the perturbation of glucose and lipid metabolism. Furthermore, several lipids, including (±)5-HETE, (±)12-HETE, propionic acid, and isobutyric acid were identified as the potential biomarkers of COVID-19-induced metabolic dysregulation, especially in insulin resistance. Taken together, our study revealed insulin resistance as the direct cause of hyperglycemia upon COVID-19, and further illustrated the underlying mechanisms, providing potential therapeutic targets for COVID-19-induced metabolic complications.


Subject(s)
COVID-19/blood , Hyperglycemia/blood , Insulin Resistance , Lipid Metabolism , Lipids/blood , SARS-CoV-2/metabolism , Adult , Aged , Biomarkers/blood , COVID-19/complications , Female , Humans , Hyperglycemia/etiology , Male , Middle Aged , Retrospective Studies
5.
Blood Cancer J ; 11(12): 202, 2021 12 14.
Article in English | MEDLINE | ID: covidwho-1585877

ABSTRACT

There is evidence of reduced SARS-CoV-2 vaccine effectiveness in patients with hematological malignancies. We hypothesized that tumor and treatment-related immunosuppression can be depicted in peripheral blood, and that immune profiling prior to vaccination can help predict immunogenicity. We performed a comprehensive immunological characterization of 83 hematological patients before vaccination and measured IgM, IgG, and IgA antibody response to four viral antigens at day +7 after second-dose COVID-19 vaccination using multidimensional and computational flow cytometry. Health care practitioners of similar age were the control group (n = 102). Forty-four out of 59 immune cell types were significantly altered in patients; those with monoclonal gammopathies showed greater immunosuppression than patients with B-cell disorders and Hodgkin lymphoma. Immune dysregulation emerged before treatment, peaked while on-therapy, and did not return to normalcy after stopping treatment. We identified an immunotype that was significantly associated with poor antibody response and uncovered that the frequency of neutrophils, classical monocytes, CD4, and CD8 effector memory CD127low T cells, as well as naive CD21+ and IgM+D+ memory B cells, were independently associated with immunogenicity. Thus, we provide novel immune biomarkers to predict COVID-19 vaccine effectiveness in hematological patients, which are complementary to treatment-related factors and may help tailoring possible vaccine boosters.


Subject(s)
Biomarkers/blood , COVID-19 Vaccines , COVID-19/immunology , Hematologic Neoplasms/complications , Immunocompromised Host/immunology , Adult , Aged , Aged, 80 and over , COVID-19/prevention & control , Female , Humans , Male , Middle Aged , SARS-CoV-2
6.
Int J Immunopathol Pharmacol ; 35: 20587384211059675, 2021.
Article in English | MEDLINE | ID: covidwho-1582485

ABSTRACT

INTRODUCTION: The fully-human monoclonal anti-interleukin (IL)-1ß antibody canakinumab may inhibit the production of inflammatory mediators in patients with coronavirus disease 2019 (COVID-19) and the hyperinflammatory response potentially leading to acute respiratory distress syndrome. OBJECTIVES: The goal of our retrospective, observational analysis was to evaluate the safety and efficacy of subcutaneous (s.c.) canakinumab in combination with our standard of care (SOC) treatment of selected patients with COVID-19 with respiratory failure and elevated reactive pro-inflammatory markers. METHODS: Eight participants received two doses of s.c. canakinumab 150 mg (or 2 mg/kg for participants weighing ≤40 kg) in addition to SOC. 12 patients received only SOC treatment. RESULTS: Canakinumab treatment reduced the need for mechanical ventilation and reduced proinflammatory markers, resulting in an amelioration of the final outcome, with respect to the control group who received SOC alone. The treatment was safe and well tolerated; no adverse events were reported. CONCLUSION: The use of canakinumab (300 mg, s.c.) in the early stage of COVID-19 with mild-to-moderate respiratory failure was superior to SOC at preventing clinical deterioration and may warrant further investigation as a treatment option for patients with COVID-19 who experience a hyperinflammatory response in the early stage of the disease.


Subject(s)
Antibodies, Monoclonal, Humanized , COVID-19 , Interleukin-1beta , Respiration, Artificial , Antibodies, Monoclonal, Humanized/administration & dosage , Antibodies, Monoclonal, Humanized/adverse effects , Antibodies, Monoclonal, Humanized/immunology , Biomarkers/blood , COVID-19/complications , COVID-19/epidemiology , COVID-19/immunology , COVID-19/therapy , Dose-Response Relationship, Drug , Female , Humans , Inflammation Mediators/blood , Interleukin-1beta/antagonists & inhibitors , Interleukin-1beta/immunology , Italy/epidemiology , Male , Middle Aged , Monitoring, Immunologic/methods , Outcome and Process Assessment, Health Care , Patient Selection , Respiration, Artificial/methods , Respiration, Artificial/statistics & numerical data , Retrospective Studies , SARS-CoV-2 , Time-to-Treatment
7.
Front Immunol ; 12: 707159, 2021.
Article in English | MEDLINE | ID: covidwho-1581347

ABSTRACT

Coronavirus disease-2019 (COVID-19) was declared as a pandemic by WHO in March 2020. SARS-CoV-2 causes a wide range of illness from asymptomatic to life-threatening. There is an essential need to identify biomarkers to predict disease severity and mortality during the earlier stages of the disease, aiding treatment and allocation of resources to improve survival. The aim of this study was to identify at the time of SARS-COV-2 infection patients at high risk of developing severe disease associated with low survival using blood parameters, including inflammation and coagulation mediators, vital signs, and pre-existing comorbidities. This cohort included 89 multi-ethnic COVID-19 patients recruited between July 14th and October 20th 2020 in Doha, Qatar. According to clinical severity, patients were grouped into severe (n=33), mild (n=33) and asymptomatic (n=23). Common routine tests such as complete blood count (CBC), glucose, electrolytes, liver and kidney function parameters and markers of inflammation, thrombosis and endothelial dysfunction including complement component split product C5a, Interleukin-6, ferritin and C-reactive protein were measured at the time COVID-19 infection was confirmed. Correlation tests suggest that C5a is a predictive marker of disease severity and mortality, in addition to 40 biological and physiological parameters that were found statistically significant between survivors and non-survivors. Survival analysis showed that high C5a levels, hypoalbuminemia, lymphopenia, elevated procalcitonin, neutrophilic leukocytosis, acute anemia along with increased acute kidney and hepatocellular injury markers were associated with a higher risk of death in COVID-19 patients. Altogether, we created a prognostic classification model, the CAL model (C5a, Albumin, and Lymphocyte count) to predict severity with significant accuracy. Stratification of patients using the CAL model could help in the identification of patients likely to develop severe symptoms in advance so that treatments can be targeted accordingly.


Subject(s)
Biomarkers/blood , COVID-19/blood , COVID-19/mortality , Complement C5a/analysis , Patient Acuity , Adult , Aged , COVID-19/complications , Cohort Studies , Female , Humans , Hypoalbuminemia/mortality , Hypoalbuminemia/virology , Lymphocyte Count , Lymphopenia/mortality , Lymphopenia/virology , Male , Middle Aged , Prognosis , Prospective Studies , Qatar , SARS-CoV-2
8.
Front Immunol ; 12: 763292, 2021.
Article in English | MEDLINE | ID: covidwho-1581338

ABSTRACT

The cytokine release syndrome has been proposed as the driver of inflammation in coronavirus disease 2019 (COVID-19). However, studies on longitudinal cytokine profiles in patients across the whole severity spectrum of COVID-19 are lacking. In this prospective observational study on adult COVID-19 patients admitted to two Hong Kong public hospitals, cytokine profiling was performed on blood samples taken during early phase (within 7 days of symptom onset) and late phase (8 to 12 days of symptom onset). The primary objective was to evaluate the difference in early and late cytokine profiles among patient groups with different disease severity. The secondary objective was to assess the associations between cytokines and clinical endpoints in critically ill patients. A total of 40 adult patients (mild = 8, moderate = 15, severe/critical = 17) hospitalized with COVID-19 were included in this study. We found 22 cytokines which were correlated with disease severity, as proinflammatory Th1-related cytokines (interleukin (IL)-18, interferon-induced protein-10 (IP-10), monokine-induced by gamma interferon (MIG), and IL-10) and ARDS-associated cytokines (IL-6, monocyte chemoattractant protein-1 (MCP-1), interleukin-1 receptor antagonist (IL-1RA), and IL-8) were progressively elevated with increasing disease severity. Furthermore, 11 cytokines were consistently different in both early and late phases, including seven (growth-regulated oncogene-alpha (GRO-α), IL-1RA, IL-6, IL-8, IL-10, IP-10, and MIG) that increased and four (FGF-2, IL-5, macrophage-derived chemokine (MDC), and MIP-1α) that decreased from mild to severe/critical patients. IL-8, followed by IP-10 and MDC were the best performing early biomarkers to predict disease severity. Among critically ill patients, MCP-1 predicted the duration of mechanical ventilation, highest norepinephrine dose administered, and length of intensive care stay.


Subject(s)
Biomarkers/blood , COVID-19/immunology , Cytokines/blood , Adult , Aged , COVID-19/blood , Cytokines/immunology , Female , Hong Kong , Humans , Male , Middle Aged , Prospective Studies , SARS-CoV-2 , Severity of Illness Index
9.
Front Immunol ; 12: 784028, 2021.
Article in English | MEDLINE | ID: covidwho-1581324

ABSTRACT

Background: Extracellular vesicles (EVs) are mediators of cell-to-cell communication in inflammatory lung diseases. They function as carriers for miRNAs which regulate mRNA transcripts and signaling pathways after uptake into recipient cells. We investigated whether miRNAs associated with circulating EVs regulate immunologic processes in COVID-19. Methods: We prospectively studied 20 symptomatic patients with COVID-19 pneumonia, 20 mechanically ventilated patients with severe COVID-19 (severe acute respiratory corona virus-2 syndrome, ARDS) and 20 healthy controls. EVs were isolated by precipitation, total RNA was extracted, profiled by small RNA sequencing and evaluated by differential gene expression analysis (DGE). Differentially regulated miRNAs between groups were bioinformatically analyzed, mRNA target transcripts identified and signaling networks constructed, thereby comparing COVID-19 pneumonia to the healthy state and pneumonia to severe COVID-19 ARDS. Results: DGE revealed 43 significantly and differentially expressed miRNAs (25 downregulated) in COVID-19 pneumonia when compared to controls, and 20 miRNAs (15 downregulated) in COVID-19 ARDS patients in comparison to those with COVID-19 pneumonia. Network analysis for comparison of COVID-19 pneumonia to healthy controls showed upregulated miR-3168 (log2FC=2.28, padjusted<0.001), among others, targeting interleukin-6 (IL6) (25.1, 15.2 - 88.2 pg/ml in COVID-19 pneumonia) and OR52N2, an olfactory smell receptor in the nasal epithelium. In contrast, miR-3168 was significantly downregulated in COVID-19 ARDS (log2FC=-2.13, padjusted=0.003) and targeted interleukin-8 (CXCL8) in a completely activated network. Toll-like receptor 4 (TLR4) was inhibited in COVID-19 pneumonia by miR-146a-5p and upregulated in ARDS by let-7e-5p. Conclusion: EV-derived miRNAs might have important regulative functions in the pathophysiology of COVID-19: CXCL8 regulates neutrophil recruitment into the lung causing epithelial damage whereas activated TLR4, to which SARS-CoV-2 spike protein binds strongly, increases cell surface ACE2 expression and destroys type II alveolar cells that secrete pulmonary surfactants; both resulting in pulmonary-capillary leakage and ARDS. These miRNAs may serve as biomarkers or as possible therapeutic targets.


Subject(s)
Biomarkers/blood , COVID-19/immunology , Extracellular Vesicles/immunology , MicroRNAs/immunology , Aged , Aged, 80 and over , COVID-19/pathology , Disease Progression , Female , Humans , Male , Middle Aged , Pneumonia/immunology , Pneumonia/pathology , SARS-CoV-2 , Signal Transduction/immunology
10.
Rev Med Virol ; 31(6): e2221, 2021 11.
Article in English | MEDLINE | ID: covidwho-1575100

ABSTRACT

The current pandemic caused by SARS-CoV-2 virus infection is known as Covid-19 (coronavirus disease 2019). This disease can be asymptomatic or can affect multiple organ systems. Damage induced by the virus is related to dysfunctional activity of the immune system, but the activity of molecules such as C-reactive protein (CRP) as a factor capable of inducing an inflammatory status that may be involved in the severe evolution of the disease, has not been extensively evaluated. A systematic review was performed using the NCBI-PubMed database to find articles related to Covid-19 immunity, inflammatory response, and CRP published from December 2019 to December 2020. High levels of CRP were found in patients with severe evolution of Covid-19 in which several organ systems were affected and in patients who died. CRP activates complement, induces the production of pro-inflammatory cytokines and induces apoptosis which, together with the inflammatory status during the disease, can lead to a severe outcome. Several drugs can decrease the level or block the effect of CRP and might be useful in the treatment of Covid-19. From this review it is reasonable to conclude that CRP is a factor that can contribute to severe evolution of Covid-19 and that the use of drugs able to lower CRP levels or block its activity should be evaluated in randomized controlled clinical trials.


Subject(s)
Anti-Inflammatory Agents/therapeutic use , C-Reactive Protein/antagonists & inhibitors , COVID-19/drug therapy , Complement System Proteins/immunology , Cytokine Release Syndrome/drug therapy , SARS-CoV-2/pathogenicity , ADAM17 Protein/antagonists & inhibitors , ADAM17 Protein/genetics , ADAM17 Protein/immunology , Angiotensin-Converting Enzyme 2/antagonists & inhibitors , Angiotensin-Converting Enzyme 2/genetics , Angiotensin-Converting Enzyme 2/immunology , Biomarkers/blood , C-Reactive Protein/genetics , C-Reactive Protein/immunology , COVID-19/immunology , COVID-19/pathology , COVID-19/virology , Celecoxib/therapeutic use , Complement System Proteins/genetics , Cytokine Release Syndrome/immunology , Cytokine Release Syndrome/pathology , Cytokine Release Syndrome/virology , Cytokines/antagonists & inhibitors , Cytokines/genetics , Cytokines/immunology , Disease Progression , Doxycycline/therapeutic use , Gene Expression Regulation , Humans , Randomized Controlled Trials as Topic , Severity of Illness Index , Survival Analysis
11.
PLoS One ; 16(3): e0247758, 2021.
Article in English | MEDLINE | ID: covidwho-1574068

ABSTRACT

ß2-microglobulin (ß2-m), a 11.8 kDa protein, pairs non-covalently with the α3 domain of the major histocompatibility class (MHC) I α-chain and is essential for the conformation of the MHC class I protein complex. Shed ß2-m is measurable in circulation, and various disorders are accompanied by increases in ß2-m levels, including several viral infections. Therefore, we explored whether ß2-m levels could also be elevated in Coronavirus disease 2019 (Covid-19) and whether they predict disease severity. Serum ß2-m levels were measured in a cohort of 34 patients infected with SARS-CoV-2 on admission to a tertiary care hospital in Riyadh, Saudi Arabia, as well as in an approximately age-sex matched group of 34 uninfected controls. Mean ß2-m level was 3.25±1.68 mg/l (reference range 0.8-2.2 mg/l) in patients (mean age 48.2±21.6) and 1.98±0.61 mg/l in controls (mean age 48.2±21.6). 17 patients (mean age 36.9± 18.0) with mean ß2-m levels of 2.27±0.64 mg/l had mild disease by WHO severity categorization, 12 patients (mean age 53.3±18.1) with mean ß2-m levels of 3.57±1.39 mg/l had moderate disease, and five patients (of whom 2 died; mean age 74.4±13.8) with mean ß2-m levels of 5.85±1.85 mg/l had severe disease (P < = 0.001, by ANOVA test for linear trend). In multivariate ordinal regression ß2-m levels were the only significant predictor of disease severity. Our findings suggest that higher ß2-m levels could be an early indicator of severity of disease and predict outcome of Covid-19. As the main limitations of the study are a single-center study, sample size and ethnicity, these results need confirmation in larger cohorts outside the Arabian Peninsula in order to delineate the value of ß2-m measurements. The role of ß2-m in the etiology and pathogenesis of severe Covid-19 remains to be elucidated.


Subject(s)
COVID-19/blood , Severity of Illness Index , beta 2-Microglobulin/blood , Adult , Aged , Aged, 80 and over , Biomarkers/blood , COVID-19/diagnosis , Cohort Studies , Comorbidity , Female , Humans , Male , Middle Aged , Prognosis , Saudi Arabia
12.
Ann Med ; 53(1): 410-412, 2021 12.
Article in English | MEDLINE | ID: covidwho-1573909

ABSTRACT

OBJECTIVE: Cytokine release syndrome is suggested to be the most important mechanism triggering acute respiratory distress syndrome and end organ damage in COVID-19. The severity of disease may be measured by different biomarkers. METHODS: We studied markers of inflammation and coagulation as recorded in 29 patients on admission to the hospital in order to identify markers of severe COVID-19 and need of ICU. RESULTS: Patients who were eventually admitted to ICU displayed significantly higher serum levels of interleukin-6 (IL-6), C-reactive protein (CRP), and procalcitonin. No statistical differences were found between the groups in median levels of lymphocytes, D-dimer or ferritin. CONCLUSIONS: IL-6 and CRP were the strongest predictors of severity in hospitalized patients with COVID-19.


Subject(s)
COVID-19/blood , COVID-19/diagnosis , Interleukin-6/blood , Adolescent , Adult , Aged , Aged, 80 and over , Biomarkers/blood , Female , Humans , Male , Middle Aged , Severity of Illness Index , Young Adult
13.
Tohoku J Exp Med ; 255(4): 315-323, 2021.
Article in English | MEDLINE | ID: covidwho-1574510

ABSTRACT

The third wave of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is causing damage all over the world, especially in Pakistan and India. Although vaccines are available and preventive measures are being taken, but SARS-CoV-2 is unstoppable. Currently, there are around 841,636 positive cases in Pakistan and 18,429 deaths, whereas, in India, both are high. From April 8th to 12th, 2021, nasopharyngeal swabs of 190 patients were submitted to PRL (PACP) lab for the SARS-CoV-2 testing, and blood samples were collected at the Mayo Hospital lab for ferritin, D-dimers, lactate dehydrogenase (LDH), and C-reactive protein (CRP) testing. This study observed that coronavirus disease 2019 (COVID-19) was more likely in individuals aged 51-60 than 61-70. In addition, our study found that COVID-19 patients exhibited a statistically significant increase in levels of ferritin, D-dimers, LDH, and CRP. In addition, this study found that COVID-19 patients had significantly higher levels of ferritin, D-dimers, LDH, and CRP. Our study revealed that SARS-CoV-2 relapsed. Furthermore, we concluded that these biochemical parameters are useful indicators for severity of COVID-19.


Subject(s)
C-Reactive Protein/metabolism , COVID-19/diagnosis , Ferritins/blood , Fibrin Fibrinogen Degradation Products/analysis , L-Lactate Dehydrogenase/blood , Aged , Aged, 80 and over , Biomarkers/blood , COVID-19/blood , COVID-19 Testing , Humans , Middle Aged , Pakistan/epidemiology , Pandemics , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index , Treatment Outcome
15.
Cells ; 10(12)2021 12 11.
Article in English | MEDLINE | ID: covidwho-1572377

ABSTRACT

The SARS-CoV-2 (COVID-19) pandemic has caused millions of deaths worldwide. Early risk assessment of COVID-19 cases can help direct early treatment measures that have been shown to improve the prognosis of severe cases. Currently, circulating miRNAs have not been evaluated as canonical COVID-19 biomarkers, and identifying biomarkers that have a causal relationship with COVID-19 is imperative. To bridge these gaps, we aim to examine the causal effects of miRNAs on COVID-19 severity in this study using two-sample Mendelian randomization approaches. Multiple studies with available GWAS summary statistics data were retrieved. Using circulating miRNA expression data as exposure, and severe COVID-19 cases as outcomes, we identified ten unique miRNAs that showed causality across three phenotype groups of COVID-19. Using expression data from an independent study, we validated and identified two high-confidence miRNAs, namely, hsa-miR-30a-3p and hsa-miR-139-5p, which have putative causal effects on developing cases of severe COVID-19. Using existing literature and publicly available databases, the potential causative roles of these miRNAs were investigated. This study provides a novel way of utilizing miRNA eQTL data to help us identify potential miRNA biomarkers to make better and early diagnoses and risk assessments of severe COVID-19 cases.


Subject(s)
COVID-19/genetics , Circulating MicroRNA/genetics , MicroRNAs/genetics , Patient Acuity , SARS-CoV-2/genetics , Biomarkers/blood , COVID-19/blood , Circulating MicroRNA/blood , Genome-Wide Association Study , Humans , Mendelian Randomization Analysis , MicroRNAs/blood , SARS-CoV-2/metabolism
16.
Turk J Med Sci ; 51(5): 2256-2262, 2021 10 21.
Article in English | MEDLINE | ID: covidwho-1566691

ABSTRACT

Background/aim: Biochemical markers are needed to show lung involvement in COVID-19 disease. Galectin-3 is known to play a key role in the inflammation and fibrosis process. We aimed to evaluate the predictive role of galectin-3 levels for pneumonia in patients with COVID-19. Materials and methods: Total of 176 patients with COVID-19, confirmed with reverse transcriptase polymerase chain reaction, admitted to the Erzurum Regional Training and Research Hospital was analyzed. The study was designed as a cross sectional. The baseline data of laboratory examinations, including galectin-3 were collected at the time of diagnosis. CT images evaluated by a single radiologist according to the recommendation of the Radiological Society of North America Expert Consensus Document for pulmonary involvement. The severity of COVID-19 pneumonia was assessed using the total severity score. Results: The mean galectin-3 level in patients with typical pneumonia was found to be significantly higher than those patients with atypical (p < 0.01) and indeterminate appearance (p < 0.01) and patients without pneumonia (p < 0.01). The severity of lung involvement was significantly associated with Galectin-3 levels (p < 0.01 r: 0.76). Stepwise logistic regression model showed that the levels of ferritin (odds ratio [OR] = 0.05, p: 0.08) and galectin-3 (OR = 0.1, p < 0.01) were significantly and independently associated with typical pneumoniain COVID-19 patients. When COVID-19 patients were evaluated in terms of typical pneumonia, we determined a cut-off value of 18.9 ng/mL for galectin-3 via ROC analysis (87% sensitivity; 73% specificity; area under curve (AUC): 0.89; p < 0.001). Conclusion: Galectin-3 was found as a diagnostic tool for COVID-19 associated typical pneumonia and as an indicator of both pneumonia and its severity.


Subject(s)
COVID-19/blood , COVID-19/complications , Galectins/blood , Pneumonia, Viral/blood , Pneumonia, Viral/diagnosis , Aged , Biomarkers/blood , Blood Proteins , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Pneumonia, Viral/virology , Predictive Value of Tests
17.
Turk J Med Sci ; 51(5): 2274-2284, 2021 10 21.
Article in English | MEDLINE | ID: covidwho-1566690

ABSTRACT

Background/aim: COVID-19 patients have a wide spectrum of disease severity. Several biomarkers were evaluated as predictors for progression towards severe disease. IL-21 is a member of common γ-chain cytokine family and creates some specific effects during programming and maintenance of antiviral immunity. We aimed to assess IL-21 as a biomarker for diagnosis and outcome prediction in patients hospitalized with COVID-19. Materials and methods: Patients with a preliminary diagnosis of COVID-19 and pneumonia other than COVID-19 admitted to a tertiary care hospital were included consecutively in this comparative study. Results: The study population consisted of 51 patients with COVID-19 and 11 patients with non-COVID-19 pneumonia. Serum IL-21 concentration was markedly higher, and serum CRP concentration was significantly lower in COVID-19 patients compared to non-COVID-19 pneumonia patients. Within COVID-19 patients, 10 patients showed radiological and clinical progression. Patients with clinical worsening had lower lymphocyte count and haemoglobin. In addition to that, deteriorating patients had higher urea, LDH levels, and elevated concentration of both IL-6 and IL-21. The cut-off value of 106 ng/L for IL-21 has 80.0% sensitivity, %60.9 specificity for discriminating patients with clinical worsening. Multivariable analysis performed to define risk factors for disease progression identified IL-6 and IL-21 as independent predictors. Odds ratio for serum IL-6 concentrations ≥ 3.2 pg/mL was 8.07 (95% CI: 1.37-47.50, p = 0.04) and odds ratio for serum IL-21 concentrations ≥ 106 ng/L was 6.24 (95% CI: 1.04 ­ 37.3, p = 0.02). Conclusion: We identified specific differences in serum IL-21 between COVID-19 and non-COVID-19 pneumonia patients. Serum IL-21 measurement has promising predictive value for disease progression in COVID-19 patients. High serum IL-6 and IL-21 levels obtained upon admission are independent risk factors for clinical worsening.


Subject(s)
COVID-19/diagnosis , Interleukins/blood , Adult , Aged , Biomarkers/blood , COVID-19/blood , Diagnosis, Differential , Female , Humans , Male , Middle Aged , Pneumonia/blood , Pneumonia/diagnosis , Prognosis
18.
Cell Rep ; 37(12): 110126, 2021 12 21.
Article in English | MEDLINE | ID: covidwho-1556413

ABSTRACT

Previous studies have shown that the high mortality caused by viruses such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza virus primarily results from complications of a cytokine storm. Therefore, it is critical to identify the key factors participating in the cytokine storm. Here we demonstrate that interferon-induced protein 35 (IFP35) plays an important role in the cytokine storm induced by SARS-CoV-2 and influenza virus infection. We find that the levels of serum IFP35 in individuals with SARS-CoV-2 correlates with severity of the syndrome. Using mouse model and cell assays, we show that IFP35 is released by lung epithelial cells and macrophages after SARS-CoV-2 or influenza virus infection. In addition, we show that administration of neutralizing antibodies against IFP35 considerably reduces lung injury and, thus, the mortality rate of mice exposed to viral infection. Our findings suggest that IFP35 serves as a biomarker and as a therapeutic target in virus-induced syndromes.


Subject(s)
COVID-19/blood , COVID-19/drug therapy , Influenza, Human/blood , Influenza, Human/drug therapy , Intracellular Signaling Peptides and Proteins/blood , Animals , Antibodies, Neutralizing/administration & dosage , Biomarkers/blood , COVID-19/pathology , COVID-19/physiopathology , Disease Models, Animal , Humans , Inflammation/metabolism , Influenza, Human/pathology , Lung/metabolism , Lung/pathology , Macrophages/metabolism , Macrophages/pathology , Mice , Mice, Inbred C57BL , Mice, Knockout , Patient Acuity , SARS-CoV-2/physiology
19.
Dis Markers ; 2021: 6304189, 2021.
Article in English | MEDLINE | ID: covidwho-1553755

ABSTRACT

Background: Early identification of patients with severe coronavirus disease (COVID-19) at an increased risk of progression may promote more individualized treatment schemes and optimize the use of medical resources. This study is aimed at investigating the utility of the C-reactive protein to albumin (CRP/Alb) ratio for early risk stratification of patients. Methods: We retrospectively reviewed 557 patients with COVID-19 with confirmed outcomes (discharged or deceased) admitted to the West Court of Union Hospital, Wuhan, China, between January 29, 2020 and April 8, 2020. Patients with severe COVID-19 (n = 465) were divided into stable (n = 409) and progressive (n = 56) groups according to whether they progressed to critical illness or death during hospitalization. To predict disease progression, the CRP/Alb ratio was evaluated on admission. Results: The levels of new biomarkers, including neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, CRP/Alb ratio, and systemic immune-inflammation index, were higher in patients with progressive disease than in those with stable disease. Correlation analysis showed that the CRP/Alb ratio had the strongest positive correlation with the sequential organ failure assessment score and length of hospital stay in survivors. Multivariate logistic regression analysis showed that percutaneous oxygen saturation (SpO2), D-dimer levels, and the CRP/Alb ratio were risk factors for disease progression. To predict clinical progression, the areas under the receiver operating characteristic curves of Alb, CRP, CRP/Alb ratio, SpO2, and D-dimer were 0.769, 0.838, 0.866, 0.107, and 0.748, respectively. Moreover, patients with a high CRP/Alb ratio (≥1.843) had a markedly higher rate of clinical deterioration (log - rank p < 0.001). A higher CRP/Alb ratio (≥1.843) was also closely associated with higher rates of hospital mortality, ICU admission, invasive mechanical ventilation, and a longer hospital stay. Conclusion: The CRP/Alb ratio can predict the risk of progression to critical disease or death early, providing a promising prognostic biomarker for risk stratification and clinical management of patients with severe COVID-19.


Subject(s)
C-Reactive Protein/metabolism , COVID-19/diagnosis , Coronary Disease/diagnosis , Hypertension/diagnosis , Pulmonary Disease, Chronic Obstructive/diagnosis , SARS-CoV-2/pathogenicity , Serum Albumin, Human/metabolism , Aged , Area Under Curve , Biomarkers/blood , Blood Platelets/pathology , Blood Platelets/virology , COVID-19/epidemiology , COVID-19/mortality , COVID-19/virology , China/epidemiology , Comorbidity , Coronary Disease/epidemiology , Coronary Disease/mortality , Coronary Disease/virology , Disease Progression , Early Diagnosis , Female , Fibrin Fibrinogen Degradation Products/metabolism , Humans , Hypertension/epidemiology , Hypertension/mortality , Hypertension/virology , Length of Stay/statistics & numerical data , Lymphocytes/pathology , Lymphocytes/virology , Male , Middle Aged , Neutrophils/pathology , Neutrophils/virology , Prognosis , Pulmonary Disease, Chronic Obstructive/epidemiology , Pulmonary Disease, Chronic Obstructive/mortality , Pulmonary Disease, Chronic Obstructive/virology , ROC Curve , Retrospective Studies , SARS-CoV-2/growth & development , Severity of Illness Index , Survival Analysis
20.
J Nippon Med Sch ; 88(4): 380-383, 2021 Sep 01.
Article in English | MEDLINE | ID: covidwho-1551292

ABSTRACT

We assessed the association of severity of coronavirus disease 2019 (COVID-19) with acute respiratory syndrome coronavirus 2 (SARS-CoV-2) load, IgG antibody level, and prognostic indicators.Twenty-one patients hospitalized with COVID-19 were classified as having severe or mild disease on the basis of average respiratory rate during hospitalization (severe: ≥22 breaths/min; mild: <22 breaths/min). Viral load in nasopharyngeal samples, blood levels of C-reactive protein (CRP), lymphocytes, and D-dimer on admission and plasma immunoglobulin G (IgG) index on Day 7±2 after symptom onset were compared in relation to disease severity. Seven patients had severe disease and 14 had mild disease. Those with severe disease had a significantly higher IgG index (median: 3.75 vs 0.56, p=0.01) and CRP (median: 8.6 vs 1.0 mg/dL, p<0.001) and D-dimer levels (median: 1.65 vs 0.75 µg/mL; p=0.002) and a significantly lower lymphocyte count (median: 1,176 vs 666 cells/µL, p=0.005) and viral load (median: 8.7×106 vs 2.3×104 copies/mL, p=0.005). Furthermore, time from symptom onset to virus disappearance was significantly longer in severe patients (median: 24 vs 17 days, p=0.03). A high IgG index in the early phase of the disease was associated with severe disease and might serve as a prognostic indicator.


Subject(s)
Antibodies, Viral/blood , COVID-19 Nucleic Acid Testing , COVID-19 Serological Testing , COVID-19/diagnosis , Immunoglobulin G/blood , SARS-CoV-2/pathogenicity , Viral Load , Adult , Aged , Biomarkers/blood , COVID-19/blood , COVID-19/drug therapy , COVID-19/therapy , COVID-19/virology , Female , Hospitalization , Host-Pathogen Interactions , Humans , Japan , Male , Middle Aged , Oxygen Inhalation Therapy , Predictive Value of Tests , Prognosis , SARS-CoV-2/genetics , SARS-CoV-2/immunology , Severity of Illness Index , Time Factors
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