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Effect of MCP-1 and CCR2 Serum Levels on COVID-19 Severity

Yıl 2023, Cilt: 13 Sayı: 3, 276 - 280, 28.12.2023
https://doi.org/10.26650/experimed.1381077

Öz

Objective: Approximately 80% of people with coronavirus disease 2019 (COVID-19) are asymptomatic, and only a small proportion of cases show serious consequences leading to hospitalization. The interplay between chemokines and their receptors can affect the severity of several infectious diseases, such as severe acute respiratory syndrome and Middle East Respiratory Syndrome. The interplay of monocyte chemoattractant protein-1 (MCP-1) with its receptor C-C motif chemokine receptor 2 (CCR2) may affect the pathogenesis of COVID-19 by functioning in the dispatch of lymphocytes and monocytes/macrophages to the infection site.
Materials and Methods: The serum MCP-1 and CCR2 concentrations were measured using the enzyme-linked immunosorbent assay (ELISA) in 49 asymptomatic, 50 severe, and 57 critical COVID-19 cases.
Results: Serum MCP-1 levels were considerably higher in critical cases than in cases in the other two groups, suggesting an increased risk for disease severity (p = 0.008; p = 0.01, respectively). Serum CCR2 levels were significantly higher in asymptomatic cases than in critical cases suggesting a protective role against disease severity (p = 0.001).
Conclusion: MCP-1 and CCR2 may be candidate biomarkers for the prediction of disease severity. Therefore, by measuring serum levels of MCP-1 and CCR2 early, the disease course can be predicted , and necessary precautions can be taken before the disease becomes severe.

Kaynakça

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  • 2. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395(10223): 497-506. google scholar
  • 3. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA 2020; 323(11): 1061-69. google scholar
  • 4. Frater JL, Zini G, d’Onofrio G, Rogers HJ. COVID-19 and the clinical hematology laboratory. Int J Lab Hematol 2020; 42(Suppl 1): 11-8. google scholar
  • 5. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk 18. factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 2020; 395(10229): 1054-62. google scholar
  • 6. Nakeshbandi M, Maini R, Daniel P, Rosengarten S, Parmar P, Wilson C, et al. The impact of obesity on COVID-19 complications: a retrospective cohort study. Int J Obes (Lond) 2020; 44(9): 1832-7. google scholar
  • 7. Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. 20. Pathophysiology, transmission, diagnosis, and treatment of Coronavirus Disease 2019 (COVID-19): a review. JAMA 2020; 324(8): 782-93. google scholar
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  • 10. Zhao Y, Qin L, Zhang P, Li K, Liang L, Sun J, et al. Longitudinal 24. COVID-19 profiling associates IL-1RA and IL-10 with disease severity and RANTES with mild disease. JCI Insight 2020; 5(13): e139834. 25. google scholar
  • 11. Chen Y, Wang J, Liu C, Su L, Zhang D, Fan J, et al. IP-10 and MCP-1 as biomarkers associated with disease severity of COVID-19. Mol Med 2020; 26(1): 97. google scholar
  • 12. Blanco-Melo D, Nilsson-Payant BE, Liu WC, Uhl S, Hoagland D, 26. M0ller R, et al. Imbalanced host response to SARS-CoV-2 drives development of COVID-19. Cell 2020; 181(5): 1036-45.e9. google scholar
  • 13. Rotondi M, Chiovato L, Romagnani S, Serio M, Romagnani P. Role 27. of chemokines in endocrine autoimmune diseases. Endocr Rev 2007; 28(5): 492-520. google scholar
  • 14. Deshmane SL, Kremlev S, Amini S, Sawaya BE. Monocyte chemoattractant protein-1 (MCP-1): an overview. J Interferon 28. Cytokine Res 2009; 29(6): 313-26. google scholar
  • 15. Fantuzzi L, Tagliamonte M, Gauzzi MC, Lopalco L. Dual CCR5/CCR2 targeting: opportunities for the cure of complex disorders. Cell Mol Life Sci 2019; 76(24): 4869-86. google scholar
  • 16. Cabaro S, D’Esposito V, Di Matola T, Sale S, Cennamo M, Terracciano 29. D, et al. Cytokine signature and COVID-19 prediction models in the two waves of pandemics. Sci Rep 2021; 11(1): 20793. google scholar
  • 17. Ogawa H, Iimura M, Eckmann L, Kagnoff MF. Regulated production of the chemokine CCL28 in human colon epithelium. Am J Physiol 30. Gastrointest Liver Physiol 2004; 287(5): G1062-9. google scholar
  • 18. S0rensen TL, Tani M, Jensen J, Pierce V, Lucchinetti C, Folcik VA, et al. Expression of specific chemokines and chemokine receptors in the central nervous system of multiple sclerosis patients. J Clin Invest 1999; 103(6): 807-15. google scholar
  • 19. Nelken NA, Coughlin SR, Gordon D, Wilcox JN. Monocyte chemoattractant protein-1 in human atheromatous plaques. J Clin Invest 1991; 88(4): 1121-7. google scholar
  • 20. Li G, Fan Y, Lai Y, Han T, Li Z, Zhou P, et al. Coronavirus infections and immune responses. J Med Virol 2020; 92(4): 424-32. google scholar
  • 21. Kawabata K, Hagio T, Matsuoka S. The role of neutrophil elastase in acute lung injury. Eur J Pharmacol 2002; 451(1): 1-10. google scholar
  • 22. Peiris JS, Guan Y, Yuen KY. Severe acute respiratory syndrome. Nat Med 2004; 10(12 Suppl): 88-97. google scholar
  • 23. Zhou J, Chu H, Li C, Wong BH, Cheng ZS, Poon VK, et al. Active replication of Middle East respiratory syndrome coronavirus and aberrant induction of inflammatory cytokines and chemokines in human macrophages: implications for pathogenesis. J Infect Dis 2014; 209(9): 1331-42. google scholar
  • 24. Lin L, Lu L, Cao W, Li T. Hypothesis for potential pathogenesis of SARS-CoV-2 infection-a review of immune changes in patients with viral pneumonia. Emerg Microbes Infect 2020; 9(1): 727-32. google scholar
  • 25. Bülow Anderberg S, Luther T, Berglund M, Larsson R, Rubertsson S, Lipcsey M, et al. Increased levels of plasma cytokines and correlations to organ failure and 30-day mortality in critically ill Covid-19 patients. Cytokine 2021; 138: 155389. google scholar
  • 26. Dogan S, Mart Komurcu SZ, Korkmaz MD, Kaya E, Yavas S, Dogan S, et al. Effect of chemokine gene variants on Covid-19 disease severity. Immunol Invest 2022; 51(7): 1965-74. google scholar
  • 27. Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, et al. Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Intern Med 2020; 180(7): 934-43. google scholar
  • 28. Jafarzadeh A, Chauhan P, Saha B, Jafarzadeh S, Nemati M. Contribution of monocytes and macrophages to the local tissue inflammation and cytokine storm in COVID-19: lessons from SARS and MERS, and potential therapeutic interventions. Life Sci 2020; 257: 118102. google scholar
  • 29. Sheahan T, Morrison TE, Funkhouser W, Uematsu S, Akira S, Baric RS, et al. MyD88 is required for protection from lethal infection with a mouse-adapted SARS-CoV. PLoS Pathog 2008; 4(12): e1000240. google scholar
  • 30. Pairo-Castineira E, Clohisey S, Klaric L, Bretherick AD, Rawlik K, Pasko D, et al. Genetic mechanisms of critical illness in COVID-19. Nature 2021; 591(7848): 92-8. google scholar
Yıl 2023, Cilt: 13 Sayı: 3, 276 - 280, 28.12.2023
https://doi.org/10.26650/experimed.1381077

Öz

Kaynakça

  • 1. Wang EY, Mao T, Klein J, Dai Y, Huck JD, Jaycox JR, et al. Diverse functional autoantibodies in patients with COVID-19. Nature 2021; 595(7866): 283-8. google scholar
  • 2. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395(10223): 497-506. google scholar
  • 3. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA 2020; 323(11): 1061-69. google scholar
  • 4. Frater JL, Zini G, d’Onofrio G, Rogers HJ. COVID-19 and the clinical hematology laboratory. Int J Lab Hematol 2020; 42(Suppl 1): 11-8. google scholar
  • 5. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk 18. factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 2020; 395(10229): 1054-62. google scholar
  • 6. Nakeshbandi M, Maini R, Daniel P, Rosengarten S, Parmar P, Wilson C, et al. The impact of obesity on COVID-19 complications: a retrospective cohort study. Int J Obes (Lond) 2020; 44(9): 1832-7. google scholar
  • 7. Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. 20. Pathophysiology, transmission, diagnosis, and treatment of Coronavirus Disease 2019 (COVID-19): a review. JAMA 2020; 324(8): 782-93. google scholar
  • 8. Teijaro JR, Walsh KB, Rice S, Rosen H, Oldstone MB. Mapping the 22. innate signaling cascade essential for cytokine storm during influenza virus infection. Proc Natl Acad Sci U S A 2014; 111(10): 3799-804. google scholar
  • 9. Maccio A, Oppi S, Madeddu C. COVID-19 and cytokine storm syndrome: can what we know about interleukin-6 in ovarian cancer be applied? J Ovarian Res 2021; 14(1): 28. google scholar
  • 10. Zhao Y, Qin L, Zhang P, Li K, Liang L, Sun J, et al. Longitudinal 24. COVID-19 profiling associates IL-1RA and IL-10 with disease severity and RANTES with mild disease. JCI Insight 2020; 5(13): e139834. 25. google scholar
  • 11. Chen Y, Wang J, Liu C, Su L, Zhang D, Fan J, et al. IP-10 and MCP-1 as biomarkers associated with disease severity of COVID-19. Mol Med 2020; 26(1): 97. google scholar
  • 12. Blanco-Melo D, Nilsson-Payant BE, Liu WC, Uhl S, Hoagland D, 26. M0ller R, et al. Imbalanced host response to SARS-CoV-2 drives development of COVID-19. Cell 2020; 181(5): 1036-45.e9. google scholar
  • 13. Rotondi M, Chiovato L, Romagnani S, Serio M, Romagnani P. Role 27. of chemokines in endocrine autoimmune diseases. Endocr Rev 2007; 28(5): 492-520. google scholar
  • 14. Deshmane SL, Kremlev S, Amini S, Sawaya BE. Monocyte chemoattractant protein-1 (MCP-1): an overview. J Interferon 28. Cytokine Res 2009; 29(6): 313-26. google scholar
  • 15. Fantuzzi L, Tagliamonte M, Gauzzi MC, Lopalco L. Dual CCR5/CCR2 targeting: opportunities for the cure of complex disorders. Cell Mol Life Sci 2019; 76(24): 4869-86. google scholar
  • 16. Cabaro S, D’Esposito V, Di Matola T, Sale S, Cennamo M, Terracciano 29. D, et al. Cytokine signature and COVID-19 prediction models in the two waves of pandemics. Sci Rep 2021; 11(1): 20793. google scholar
  • 17. Ogawa H, Iimura M, Eckmann L, Kagnoff MF. Regulated production of the chemokine CCL28 in human colon epithelium. Am J Physiol 30. Gastrointest Liver Physiol 2004; 287(5): G1062-9. google scholar
  • 18. S0rensen TL, Tani M, Jensen J, Pierce V, Lucchinetti C, Folcik VA, et al. Expression of specific chemokines and chemokine receptors in the central nervous system of multiple sclerosis patients. J Clin Invest 1999; 103(6): 807-15. google scholar
  • 19. Nelken NA, Coughlin SR, Gordon D, Wilcox JN. Monocyte chemoattractant protein-1 in human atheromatous plaques. J Clin Invest 1991; 88(4): 1121-7. google scholar
  • 20. Li G, Fan Y, Lai Y, Han T, Li Z, Zhou P, et al. Coronavirus infections and immune responses. J Med Virol 2020; 92(4): 424-32. google scholar
  • 21. Kawabata K, Hagio T, Matsuoka S. The role of neutrophil elastase in acute lung injury. Eur J Pharmacol 2002; 451(1): 1-10. google scholar
  • 22. Peiris JS, Guan Y, Yuen KY. Severe acute respiratory syndrome. Nat Med 2004; 10(12 Suppl): 88-97. google scholar
  • 23. Zhou J, Chu H, Li C, Wong BH, Cheng ZS, Poon VK, et al. Active replication of Middle East respiratory syndrome coronavirus and aberrant induction of inflammatory cytokines and chemokines in human macrophages: implications for pathogenesis. J Infect Dis 2014; 209(9): 1331-42. google scholar
  • 24. Lin L, Lu L, Cao W, Li T. Hypothesis for potential pathogenesis of SARS-CoV-2 infection-a review of immune changes in patients with viral pneumonia. Emerg Microbes Infect 2020; 9(1): 727-32. google scholar
  • 25. Bülow Anderberg S, Luther T, Berglund M, Larsson R, Rubertsson S, Lipcsey M, et al. Increased levels of plasma cytokines and correlations to organ failure and 30-day mortality in critically ill Covid-19 patients. Cytokine 2021; 138: 155389. google scholar
  • 26. Dogan S, Mart Komurcu SZ, Korkmaz MD, Kaya E, Yavas S, Dogan S, et al. Effect of chemokine gene variants on Covid-19 disease severity. Immunol Invest 2022; 51(7): 1965-74. google scholar
  • 27. Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, et al. Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Intern Med 2020; 180(7): 934-43. google scholar
  • 28. Jafarzadeh A, Chauhan P, Saha B, Jafarzadeh S, Nemati M. Contribution of monocytes and macrophages to the local tissue inflammation and cytokine storm in COVID-19: lessons from SARS and MERS, and potential therapeutic interventions. Life Sci 2020; 257: 118102. google scholar
  • 29. Sheahan T, Morrison TE, Funkhouser W, Uematsu S, Akira S, Baric RS, et al. MyD88 is required for protection from lethal infection with a mouse-adapted SARS-CoV. PLoS Pathog 2008; 4(12): e1000240. google scholar
  • 30. Pairo-Castineira E, Clohisey S, Klaric L, Bretherick AD, Rawlik K, Pasko D, et al. Genetic mechanisms of critical illness in COVID-19. Nature 2021; 591(7848): 92-8. google scholar
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Klinik Tıp Bilimleri (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Selen Zeliha Mart Kömürcü 0000-0001-7500-0783

Şeydanur Doğan 0000-0001-5245-5275

Ebru Kaya 0000-0002-9506-0756

Sevim Yavaş 0000-0001-8010-7454

Serkan Doğan 0000-0001-8923-2489

Utku Murat Kalafat 0000-0003-1749-8098

Hayriye Şentürk Çiftçi 0000-0003-3507-482X

Selçuk Daşdemir 0000-0002-7816-8909

Yayımlanma Tarihi 28 Aralık 2023
Gönderilme Tarihi 25 Ekim 2023
Kabul Tarihi 29 Kasım 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 13 Sayı: 3

Kaynak Göster

Vancouver Mart Kömürcü SZ, Doğan Ş, Kaya E, Yavaş S, Doğan S, Kalafat UM, Şentürk Çiftçi H, Daşdemir S. Effect of MCP-1 and CCR2 Serum Levels on COVID-19 Severity. Experimed. 2023;13(3):276-80.