Publications by authors named "Neda K Dezfuli"

5 Publications

  • Page 1 of 1

Increased Serum Levels of Soluble TNF-α Receptor Is Associated With ICU Mortality in COVID-19 Patients.

Front Immunol 2021 22;12:592727. Epub 2021 Apr 22.

National Heart and Lung Institute, Imperial College London, London, United Kingdom.

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID-19) has infected over 112M patients and resulted in almost 2.5M deaths worldwide. The major clinical feature of severe COVID-19 patients requiring ventilation is acute respiratory distress syndrome (ARDS) possibly associated with a cytokine storm.

Objectives: To elucidate serum levels of TNF-α and soluble TNF-Receptor 1 (sTNFR1) in patients with severe and mild COVID-19 disease as determinants of disease severity.

Methods: We determined serum TNF-α and sTNFR1 concentrations in 46 patients with laboratory-confirmed COVID-19 (17 patients with severe disease within the intensive care unit [ICU] and 29 non-severe, non-ICU patients) and 15 healthy controls upon admission using ELISA. Subjects were recruited between March-May 2020 at the Masih Daneshvari Hospital Tehran, Iran.

Results: Serum levels of sTNFRI were significantly higher in ICU patients (P<0.0001) and non-ICU patients (P=0.0342) compared with healthy subjects. Serum sTNFR1 were significantly higher in ICU patients than in non-ICU patients (P<0.0001). Serum TNF-α levels were greater in ICU and non-ICU patients than in the healthy subjects group (p<0.0001). The sTNFRI concentration in ICU (r=0.79, p=0.0002) and non-ICU (r=0.42, p=0.02) patients positively correlated with age although serum sTNFRI levels in ICU patients were significantly higher than in older healthy subjects. The sTNFRI concentration in ICU patients negatively correlated with ESR.

Conclusions: The study demonstrates higher sTNFRI in ICU patients with severe COVID-19 disease and this be a biomarker of disease severity and mortality. Future studies should examine whether lower levels of systemic sTNFR1 at admission may indicate a better disease outcome.
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http://dx.doi.org/10.3389/fimmu.2021.592727DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100036PMC
May 2021

Update on Immunology of COVID-19 Disease and Potential Strategy for Controlling.

Tanaffos 2020 Dec;19(4):274-290

Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Coronavirus disease 2019 (COVID-19) is caused by a novel form of the coronavirus that caused severe acute respiratory syndrome (SARS). SARS-CoV-2 raised in China and has broadcast to 261 countries globally. SARS-CoV-2 a member of β-coronavirus family and has an almost matching genome sequence to a bat coronavirus, pointing to the bat as the natural host before it was transmitted to humans. SARS-CoV-2 uses the same receptor, angiotensin-converting enzyme 2 (ACE2) as that used by SARS-CoV and principally infects the respiratory tract. The clinical symptoms of COVID-19 patients include fever, cough and fatigue whilst small populations of patients have gastrointestinal symptoms. The old people and people with underlying metabolic and cardiovascular diseases are more affected to infection and have worse outcomes. These may be associated with acute respiratory distress syndrome (ARDS) and a cytokine storm. In this review, we discuss the pathogenesis and clinical characteristics of disease and the pharmacologic approaches that may control COVID-19.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088154PMC
December 2020

Serum cytokine levels of COVID-19 patients after 7 days of treatment with Favipiravir or Kaletra.

Int Immunopharmacol 2021 Apr 22;93:107407. Epub 2021 Jan 22.

National Heart and Lung Institute, Imperial College London and the NIHR Imperial Biomedical Research Centre, London, UK; Priority Research Centre for Asthma and Respiratory Disease, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia.

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID-19) has infected 86,4 M patients and resulted in 1,86 M deaths worldwide. Severe COVID-19 patients have elevated blood levels of interleukin-6 (IL-6), IL-1β, tumor necrosis factor (TNF)α, IL-8 and interferon (IFN)γ.

Objective: To investigate the effect of antiviral treatment serum cytokines in severe COVID-19 patients.

Methods: Blood was obtained from 29 patients (aged 32-79 yr) with laboratory-confirmed COVID-19 upon admission and 7 days after antiviral (Favipiravir or Lopinavir/Ritonavir) treatment. Patients also received standard supportive treatment in this retrospective observational study. Chest computed tomography (CT) scans were evaluated to investigate lung manifestations of COVID-19. Serum was also obtained and cytokines levels were evaluated. 19 age- and gender-matched healthy controls were studied.

Results: Anti-viral therapy significantly reduced CT scan scores and the elevated serum levels of C-reactive protein (CRP) and lactate dehydrogenase (LDH). In contrast, serum levels of IL-6, IL-8 and IFNγ were elevated at baseline in COVID-19 subjects compared to healthy subjects with IL-6 (p = 0.006) and IL-8 (p = 0.011) levels being further elevated after antiviral therapy. IL-1β (p = 0.01) and TNFα (p = 0.069) levels were also enhanced after treatment but baseline levels were similar to those of healthy controls. These changes occurred irrespective of whether patients were admitted to the intensive care unit.

Conclusion: Antiviral treatments did not suppress the inflammatory phase of COVID-19 after 7 days treatment although CT, CRP and LDH suggest a decline in lung inflammation. There was limited evidence for a viral-mediated cytokine storm in these COVID-19 subjects.
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http://dx.doi.org/10.1016/j.intimp.2021.107407DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826095PMC
April 2021

Potential diagnostic value of pleural fluid cytokines levels for tuberculous pleural effusion.

Sci Rep 2021 Jan 12;11(1):660. Epub 2021 Jan 12.

Department of Immunology, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Patients with tuberculous pleural effusion (TPE) or malignant pleural effusions (MPE) frequently have similar pleural fluid profiles. New biomarkers for the differential diagnosis of TPE are required. We determined whether cytokine profiles in the PE of patients could aid the differential diagnosis of TPE. 30 patients with TPE, 30 patients with MPE, 14 patients with empyema (EMP) and 14 patients with parapneumonic effusion (PPE) were enrolled between Dec 2018 and 2019. The levels of interleukin (IL)-6, IL-18, IL-27, CXCL8, CCL-1 and IP-10 were determined in PE by ELISA along with measurements of adenosine deaminase (ADA). The best predictors of TPE were combined ADA.IL-27 [optimal cut-off value = 42.68 (10 U ng/l), sensitivity 100%, specificity 98.28%], ADA [cut off value 27.5 (IU/l), sensitivity 90%, specificity 96.5%] and IL-27 [cut-off value = 2363 (pg/ml), sensitivity 96.7%, specificity 98.3%, p ≤ 0.0001]. A high level of IL-6 [cut-off value = 3260 (pg/ml), sensitivity 100%, specificity 67.2%], CXCL8 [cut-off value = 144.5 (pg/ml), sensitivity 93.3%, specificity 58.6%], CCL1 [cut-off value = 54 (pg/ml), sensitivity 100%, specificity 70.7%] and IP-10 [cut-off value = 891.9 (pg/ml), sensitivity 83.3%, specificity 48.3%] were also predictive of TPE. High ADA.IL-27, ADA and IL-27 levels differentiate between TPE and non-TPE with improved specificity and diagnostic accuracy and may be useful clinically.
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http://dx.doi.org/10.1038/s41598-020-79685-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803752PMC
January 2021

The miR-146a SNP Rs2910164 and miR-155 SNP rs767649 Are Risk Factors for Non-Small Cell Lung Cancer in the Iranian Population.

Can Respir J 2020 20;2020:8179415. Epub 2020 Nov 20.

Department of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Background: Lung cancer is one of the leading causes of death worldwide. MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression and may act as both tumor suppressors and as oncogenes. The presence of single nucleotide polymorphisms (SNPs) inside the miRNA genomic region could affect target miRNA maturation, expression, and binding to its target mRNA and contribute to cancer development. Previous studies on the SNPs Rs2910164 in miR-146a and Rs767649 in miR-155 showed association with non-small cell lung cancer (NSCLC) development. Thus, the aim of this study was to detect any correlation between those SNPs in Iranian NSCLC patients.

Methods: In a small cohort study, 165 NSCLC patients and 147 noncancer controls were enrolled between Apr 2015 and Sep 2019 at the Masih Daneshvari Hospital, Tehran, Iran. Allele frequencies from the genomic DNA of blood cells were studied using PCR-RFLP and their association with the risk of lung cancer was evaluated.

Results: The rs2910164C allele (OR = 1.56, 95% CI = 1.10-2.21, = 0.012) and CC genotype (OR = 2.93, 95% CI = 1.07-7.9, = 0.034, respectively) were associated with a significantly increased risk for lung cancer compared to that for the GG genotype. When patients were stratified according to smoking exposure, no association with rs2910164 variants was found. The AT genotype (OR = 0.57, 95% CI = 0.33-0.99, = 0.048) and the A allele frequency (OR = 0.58, 95% CI = 0.35-0.98, = 0.043) in rs767649 were lower in NSCLC patients in comparison with the control group. In addition, the rs767649 AT genotype frequency in smoking controls was higher than in smoking NSCLC patients (OR = 0.44, 95% CI = 0.21-0.90, = 0.024). No association was found between rs2910164 and rs767649 variants and stage or type of NSCLC.

Conclusion: Our finding suggests that miR-146a rs2910164 and miR-155 rs767649 polymorphisms may be considered as genetic risk factors for the susceptibility to NSCLC in the Iranian population. However, a larger multicenter study across Iran is needed to confirm these findings.
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http://dx.doi.org/10.1155/2020/8179415DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700047PMC
November 2020