Literature DB >> 33839715

Does Macrophage Migration Inhibitory Factor predict the prognosis of COVID-19 disease?

Hamad Dheir1, Selcuk Yaylaci2, Savas Sipahi3, Ahmed Cihad Genc2, Deniz Cekic2, Fatma Betul Tuncer4, Erdem Cokluk4, Havva Kocayigit5, Ahmed Bilal Genc2, Salih Salihi6, Ceyhun Varim2, Oguz Karabay7.   

Abstract

INTRODUCTION: The aim of this study is to investigate whether macrophage migration inhibitory factor (MIF) predicts the prognosis of COVID-19 disease.
METHODOLOGY: This descriptive and cross-sectional study was conducted on 87 confirmed COVID-19 patients. The patients were separated into two groups according to the admission in the ICU or in the ward. MIF was determined batchwise in plasma obtained as soon as the patients were admitted. Both groups were compared with respect to demographic characteristics, biochemical parameters and prediction of requirement to ICU admission.
RESULTS: Forty seven patients in ICU, and 40 patients in ward were included. With respect to MIF levels and biochemical biomarkers, there was a statistically significant difference between the ICU and ward patients (p< 0.024). In terms of ICU requirement, the cut-off value of MIF was detected as 4.705 (AUC:0.633, 95%CI:0.561-0.79, p= 0.037), D-dimer was 789 (AUC:0.779, 95%CI: 0.681-0.877, p= 0.000), troponin was 8.15 (AUC: 0.820, 95%CI:0.729-0.911, p= 0.000), ferritin was 375 (AUC: 0.774, 95%CI:0.671-0.876, p= 0.000), and lactate dehydrogenase (LDH) was 359.5 (AUC:0.843, 95%CI: 0.753-0.933, p= 0.000). According to the logistic regression analysis; when MIF level > 4.705, the patient's requirement to ICU risk was increased to 8.33 (95%CI: 1.73-44.26, p= 0.009) fold. Similarly, elevation of troponin, ferritin and, LDH was shown to predict disease prognosis (p< 0.05).
CONCLUSIONS: Our study showed that MIF may play a role in inflammatory responses to COVID-19 through induction of pulmonary inflammatory cytokines, suggesting that pharmacotherapeutic approaches targeting MIF may hold promise for the treatment of COVID-19 pneumonia. Copyright (c) 2021 Hamad Dheir, Selcuk Yaylaci, Savas Sipahi, Ahmed Cihad Genc, Deniz Cekic, Fatma Betul Tuncer, Erdem Cokluk, Havva Kocayigit, Ahmed Bilal Genc, Salih Salihi, Ceyhun Varim, Oguz Karabay.

Entities:  

Keywords:  COVID-19; Inflammation; Macrophage migration; SARS-Cov-2; inhibitory factor

Year:  2021        PMID: 33839715     DOI: 10.3855/jidc.14009

Source DB:  PubMed          Journal:  J Infect Dev Ctries        ISSN: 1972-2680            Impact factor:   0.968


  4 in total

1.  Analyzing network diversity of cell-cell interactions in COVID-19 using single-cell transcriptomics.

Authors:  Xinyi Wang; Axel A Almet; Qing Nie
Journal:  Front Genet       Date:  2022-08-29       Impact factor: 4.772

2.  Exploring the potential mechanism of emetine against coronavirus disease 2019 combined with lung adenocarcinoma: bioinformatics and molecular simulation analyses.

Authors:  Kun Zhang; Ke Wang; Chaoguo Zhang; Xiuli Teng; Dan Li; Mingwei Chen
Journal:  BMC Cancer       Date:  2022-06-22       Impact factor: 4.638

Review 3.  The Role of MIF and IL-10 as Molecular Yin-Yang in the Modulation of the Host Immune Microenvironment During Infections: African Trypanosome Infections as a Paradigm.

Authors:  Benoit Stijlemans; Maxime Schoovaerts; Patrick De Baetselier; Stefan Magez; Carl De Trez
Journal:  Front Immunol       Date:  2022-04-07       Impact factor: 8.786

4.  Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis.

Authors:  Samaneh Maleknia; Mohammad Javad Tavassolifar; Faezeh Mottaghitalab; Mohammad Reza Zali; Anna Meyfour
Journal:  Mol Med       Date:  2022-08-03       Impact factor: 6.376

  4 in total

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