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Cytokine Patterns in COVID-19 Patients: Which Cytokines Predict Mortality and Which Protect Against?
Basheer, Maamoun; Saad, Elias; Kananeh, Majd; Asad, Layyous; Khayat, Osama; Badarne, Anan; Abdo, Zaki; Arraf, Nada; Milhem, Faris; Bassal, Tamara; Boulos, Mariana; Assy, Nimer.
  • Basheer M; Internal Medicine Department A, Galilee Medical Center, Nahariya 221001, Israel.
  • Saad E; The Azrieli Faculty of Medicine, Bar-Ilan University, Safad 1311502, Israel.
  • Kananeh M; Internal Medicine Department A, Galilee Medical Center, Nahariya 221001, Israel.
  • Asad L; The Azrieli Faculty of Medicine, Bar-Ilan University, Safad 1311502, Israel.
  • Khayat O; Internal Medicine Department C, Galilee Medical Center, Nahariya 221001, Israel.
  • Badarne A; Internal Medicine Department A, Galilee Medical Center, Nahariya 221001, Israel.
  • Abdo Z; Internal Medicine Department A, Galilee Medical Center, Nahariya 221001, Israel.
  • Arraf N; Internal Medicine Department A, Galilee Medical Center, Nahariya 221001, Israel.
  • Milhem F; Internal Medicine Department A, Galilee Medical Center, Nahariya 221001, Israel.
  • Bassal T; Internal Medicine Department A, Galilee Medical Center, Nahariya 221001, Israel.
  • Boulos M; Internal Medicine Department A, Galilee Medical Center, Nahariya 221001, Israel.
  • Assy N; Internal Medicine Department A, Galilee Medical Center, Nahariya 221001, Israel.
Curr Issues Mol Biol ; 44(10): 4735-4747, 2022 Oct 10.
Article in English | MEDLINE | ID: covidwho-2071253
ABSTRACT
(1) Background/

Aim:

People infected with SARS-CoV-2 may develop COVID-19 in a wide range of clinical severity. Pulmonary fibrosis is characterized by several grades of chronic inflammation and collagen deposition in the interalveolar space. SARS-CoV-2 infection has been demonstrated to cause lung fibrosis without a currently elucidated mechanism. Some studies emphasize the role of proinflammatory cytokines. This research studies the correlation of the released cytokines with mortality or lung injury in COVID-19 patients. (2)

Methods:

Electronic medical record data from 40 patients diagnosed with COVID-19 in the COVID-19 Department, Galilee Medical Center, Nahariya, Israel, were collected. Epidemiological, clinical, laboratory, and imaging variables were analyzed. The cytokine levels were measured upon admission and discharge. A correlation between cytokine levels and severity and mortality or lung involvement was undertaken. (3)

Results:

IFN-gamma and IL-10 are the most powerful risk factors for mortality in the COVID-19 patient groups in a multivariate analysis. However, in a univariate analysis, TGF-ß, CXCL-10, IFN gamma, and IL-7 affected mortality in COVID-19 patients. MMP-7 was significantly correlated with a cytokine storm and a high 4-C (severity) score in COVID-19 patients. MMP-7, TGF-ß, IL-10, IL-7, TNF-α, and IL-6 were correlated with high lung involvement in COVID-19 patients. Serum concentrations of IGF-1 were significantly increased upon discharge, but MMP-7 was decreased. (4)

Conclusions:

Proinflammatory cytokines predict clinical severity, lung fibrosis, and mortality in COVID-19 patients. High concentrations of TGF-ß, CXCL-10, IL-10, IL-6, and TNF-α are correlated to severity and lung injury. However, certain cytokines have protective effects and higher levels of these cytokines increase survival levels and lower lung damage. High levels of INF-γ, IL-7, MMP-7, and IGF-1 have protection probabilities against lung injury and severity.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Curr Issues Mol Biol Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: Cimb44100323

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Language: English Journal: Curr Issues Mol Biol Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: Cimb44100323