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Year 2023, , 534 - 541, 01.10.2023

Tuğrul Elverdi , Abdülkadir Erçalışkan , Rıdvan Karaali İlker İnanç Balkan Deniz Özmen , Ayşe Salihoğlu , Birgül Mete Ahmet Emre Eşkazan , Zafer Başlar , Fehmi Tabak Muhlis Cem Ar

https://doi.org/10.31067/acusaglik.1335196

Abstract

Supporting Institution

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Project Number

yok

Thanks

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References

  • Huang W, Berube J, McNamara M, et al. Lymphocyte Subset Counts in COVID-19 Patients: A Meta-Analysis. Cytometry A. 2020;97(8):772- 776. doi:10.1002/cyto.a.24172.
  • Qin C, Zhou L, Hu Z, et al. Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China. Clin Infect Dis. 2020;71(15):762-768. doi:10.1093/cid/ciaa248
  • Ganji A, Farahani I, Khansarinejad B, et al. Increased expression of CD8 marker on T-cells in COVID-19 patients. Blood Cells Mol Dis. 2020;83:102437. doi:10.1016/j.bcmd.2020.102437.
  • Wang F, Nie J, Wang H, et al. Characteristics of Peripheral Lymphocyte Subset Alteration in COVID-19 Pneumonia. J Infect Dis. 2020;221(11):1762-1769. doi:10.1093/infdis/jiaa150
  • Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China [published correction appears in Lancet. 2020 Jan 30;:]. Lancet. 2020;395(10223):497-506. doi:10.1016/S0140-6736(20)30183-5
  • Feng X, Li S, Sun Q, et al. Immune-Inflammatory Parameters in COVID-19 Cases: A Systematic Review and Meta-Analysis. Front Med (Lausanne). 2020;7:301. Published 2020 Jun 9. doi:10.3389/fmed.2020.00301
  • Chen X, Ling J, Mo P, et al. Restoration of leukomonocyte counts is associated with viral clearance in COVID-19 hospitalized patients. medRxiv; 2020. DOI: 10.1101/2020.03.03.20030437.
  • Mathew D, Giles JR, Baxter AE, et al. Deep immune profiling of COVID-19 patients reveals distinct immunotypes with therapeutic implications. Science. 2020;369(6508):eabc8511. doi:10.1126/science.abc8511
  • Diao B, Wang C, Tan Y, et al. Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19). Front Immunol. 2020;11:827. Published 2020 May 1. doi:10.3389/fimmu.2020.00827.
  • Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-513. doi:10.1016/S0140-6736(20)30211-7
  • Wang D, Hu B, Hu C, et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China [published correction appears in JAMA. 2021 Mar 16;325(11):1113]. JAMA. 2020;323(11):1061-1069. doi:10.1001/jama.2020.1585
  • Akbari H, Tabrizi R, Lankarani KB, et al. The role of cytokine profile and lymphocyte subsets in the severity of coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis. Life Sci. 2020;258:118167. doi:10.1016/j.lfs.2020.118167
  • Ni M, Tian FB, Xiang DD, Yu B. Characteristics of inflammatory factors and lymphocyte subsets in patients with severe COVID-19. J Med Virol. 2020;92(11):2600-2606. doi:10.1002/jmv.26070
  • Maucourant C, Filipovic I, Ponzetta A, et al. Natural killer cell immunotypes related to COVID-19 disease severity. Sci Immunol. 2020;5(50):eabd6832. doi:10.1126/sciimmunol.abd6832
  • Laing AG, Lorenc A, Del Molino Del Barrio I, et al. A dynamic COVID-19 immune signature includes associations with poor prognosis [published correction appears in Nat Med. 2020 Sep 9;:] [published correction appears in Nat Med. 2020 Dec;26(12):1951]. Nat Med. 2020;26(10):1623-1635. doi:10.1038/s41591-020-1038-6
  • Byrne D, Neill SBO, Müller NL, et al. RSNA Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19: Interobserver Agreement Between Chest Radiologists. Can Assoc Radiol J. 2021;72(1):159-166. doi:10.1177/0846537120938328
  • Chen Z, John Wherry E. T cell responses in patients with COVID-19. Nat Rev Immunol. 2020;20(9):529-536. doi:10.1038/s41577-020-0402-6
  • Kalpakci Y, Hacibekiroglu T, Trak G, et al. Comparative evaluation of memory T cells in COVID-19 patients and the predictive role of CD4+CD8+ double positive T lymphocytes as a new marker. Rev Assoc Med Bras (1992). 2020;66(12):1666-1672. doi:10.1590/1806-9282.66.12.1666
  • Lombardi A, Trombetta E, Cattaneo A, et al. Early Phases of COVID-19 Are Characterized by a Reduction in Lymphocyte Populations and the Presence of Atypical Monocytes. Front Immunol. 2020;11:560330. Published 2020 Dec 9. doi:10.3389/fimmu.2020.560330
  • Sosa-Hernández VA, Torres-Ruíz J, Cervantes-Díaz R, et al. B Cell Subsets as Severity-Associated Signatures in COVID-19 Patients. Front Immunol. 2020;11:611004. Published 2020 Dec 3. doi:10.3389/fimmu.2020.611004
  • Thevarajan I, Nguyen THO, Koutsakos M, et al. Breadth of concomitant immune responses prior to patient recovery: a case report of non-severe COVID-19. Nat Med. 2020;26(4):453-455. doi:10.1038/s41591-020-0819-2
  • Qin S, Jiang Y, Wei X, et al. Dynamic changes in monocytes subsets in COVID-19 patients. Hum Immunol. 2021;82(3):170-176. doi:10.1016/j.humimm.2020.12.010
  • Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (Trial Version 7). Chin Med J (Engl). 2020;133(9):1087-1095. doi:10.1097/CM9.0000000000000819
  • BAKANLIĞI, TC SAĞLIK, Bilim Kurulu çalışması. “COVID-19 (SARSCoV2 Enfeksiyonu) Rehberi.” Ankara: Sağlık Bakanlığı; Nisan 2020
  • Löhr P, Schiele S, Arndt TT, et al. Impact of age and gender on lymphocyte subset counts in patients with COVID-19. Cytometry A. 2023;103(2):127-135. doi:10.1002/cyto.a.24470

Flow Cytometric Analysis of Lymphocyte Subsets of Covid-19 Patients from A Single Centre in Turkey

Year 2023, , 534 - 541, 01.10.2023

Tuğrul Elverdi , Abdülkadir Erçalışkan , Rıdvan Karaali İlker İnanç Balkan Deniz Özmen , Ayşe Salihoğlu , Birgül Mete Ahmet Emre Eşkazan , Zafer Başlar , Fehmi Tabak Muhlis Cem Ar

https://doi.org/10.31067/acusaglik.1335196

Abstract

Purpose: Lymphocyte counts have been shown to negatively correlate with the severity in Covid-19. The aim of this study is to analyse the distribution of lymphocyte subsets in response to SARS-CoV-2 infection and its relation to the severity of the disease.
Methods: Blood samples were obtained from 67 consecutive patients between April 2020 and July 2020. Data on other laboratory parameters, and clinical course were collected retrospectively from patient files and patients were defined to have as severe or non-severe (mild/moderate) disease. Leukocyte subsets to be studied were identified by using flow cytometric analysis (Beckman Coulter Navios Ex V2.0). Patients were allocated into 3 groups based on the day of blood sample collection: Days 0-7, 8-14 and >14 as Group I, Group II and Group III, respectively. In 10 of 67 patients an additional analysis was done 7-10 days after the initial sampling.
Results: A total of 67 patients (30 female, 37 male) with a median age of 57 were evaluated. Lower total lymphocyte, CD3 positive, CD4 positive and B-cell counts were identified in severe infection compared to non-severe infection group which were also correlated with high serum CRP, D-dimer and ferritin levels. NK and monocyte counts were not different between the two groups. Activation markers CD38 and HLA-DR on CD4 and CD8 positive lymphocytes also were not different in either group.
Conclusion: CD3 and CD4 lymphopenia were lower in accordance with previous studies and were associated with severe disease. The expectancy of high activation markers was not met. Future studies with detailed subgroup analyses at different time-points will shed more light on our general knowledge of the immune response to COVID-19.

Keywords

FLOW CYTOMETRY COVID-19 IMMUNE PROFILE LYMPHOCYTE SUBSETS MONOCYTES

Project Number

yok

References

  • Huang W, Berube J, McNamara M, et al. Lymphocyte Subset Counts in COVID-19 Patients: A Meta-Analysis. Cytometry A. 2020;97(8):772- 776. doi:10.1002/cyto.a.24172.
  • Qin C, Zhou L, Hu Z, et al. Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China. Clin Infect Dis. 2020;71(15):762-768. doi:10.1093/cid/ciaa248
  • Ganji A, Farahani I, Khansarinejad B, et al. Increased expression of CD8 marker on T-cells in COVID-19 patients. Blood Cells Mol Dis. 2020;83:102437. doi:10.1016/j.bcmd.2020.102437.
  • Wang F, Nie J, Wang H, et al. Characteristics of Peripheral Lymphocyte Subset Alteration in COVID-19 Pneumonia. J Infect Dis. 2020;221(11):1762-1769. doi:10.1093/infdis/jiaa150
  • Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China [published correction appears in Lancet. 2020 Jan 30;:]. Lancet. 2020;395(10223):497-506. doi:10.1016/S0140-6736(20)30183-5
  • Feng X, Li S, Sun Q, et al. Immune-Inflammatory Parameters in COVID-19 Cases: A Systematic Review and Meta-Analysis. Front Med (Lausanne). 2020;7:301. Published 2020 Jun 9. doi:10.3389/fmed.2020.00301
  • Chen X, Ling J, Mo P, et al. Restoration of leukomonocyte counts is associated with viral clearance in COVID-19 hospitalized patients. medRxiv; 2020. DOI: 10.1101/2020.03.03.20030437.
  • Mathew D, Giles JR, Baxter AE, et al. Deep immune profiling of COVID-19 patients reveals distinct immunotypes with therapeutic implications. Science. 2020;369(6508):eabc8511. doi:10.1126/science.abc8511
  • Diao B, Wang C, Tan Y, et al. Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19). Front Immunol. 2020;11:827. Published 2020 May 1. doi:10.3389/fimmu.2020.00827.
  • Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-513. doi:10.1016/S0140-6736(20)30211-7
  • Wang D, Hu B, Hu C, et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China [published correction appears in JAMA. 2021 Mar 16;325(11):1113]. JAMA. 2020;323(11):1061-1069. doi:10.1001/jama.2020.1585
  • Akbari H, Tabrizi R, Lankarani KB, et al. The role of cytokine profile and lymphocyte subsets in the severity of coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis. Life Sci. 2020;258:118167. doi:10.1016/j.lfs.2020.118167
  • Ni M, Tian FB, Xiang DD, Yu B. Characteristics of inflammatory factors and lymphocyte subsets in patients with severe COVID-19. J Med Virol. 2020;92(11):2600-2606. doi:10.1002/jmv.26070
  • Maucourant C, Filipovic I, Ponzetta A, et al. Natural killer cell immunotypes related to COVID-19 disease severity. Sci Immunol. 2020;5(50):eabd6832. doi:10.1126/sciimmunol.abd6832
  • Laing AG, Lorenc A, Del Molino Del Barrio I, et al. A dynamic COVID-19 immune signature includes associations with poor prognosis [published correction appears in Nat Med. 2020 Sep 9;:] [published correction appears in Nat Med. 2020 Dec;26(12):1951]. Nat Med. 2020;26(10):1623-1635. doi:10.1038/s41591-020-1038-6
  • Byrne D, Neill SBO, Müller NL, et al. RSNA Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19: Interobserver Agreement Between Chest Radiologists. Can Assoc Radiol J. 2021;72(1):159-166. doi:10.1177/0846537120938328
  • Chen Z, John Wherry E. T cell responses in patients with COVID-19. Nat Rev Immunol. 2020;20(9):529-536. doi:10.1038/s41577-020-0402-6
  • Kalpakci Y, Hacibekiroglu T, Trak G, et al. Comparative evaluation of memory T cells in COVID-19 patients and the predictive role of CD4+CD8+ double positive T lymphocytes as a new marker. Rev Assoc Med Bras (1992). 2020;66(12):1666-1672. doi:10.1590/1806-9282.66.12.1666
  • Lombardi A, Trombetta E, Cattaneo A, et al. Early Phases of COVID-19 Are Characterized by a Reduction in Lymphocyte Populations and the Presence of Atypical Monocytes. Front Immunol. 2020;11:560330. Published 2020 Dec 9. doi:10.3389/fimmu.2020.560330
  • Sosa-Hernández VA, Torres-Ruíz J, Cervantes-Díaz R, et al. B Cell Subsets as Severity-Associated Signatures in COVID-19 Patients. Front Immunol. 2020;11:611004. Published 2020 Dec 3. doi:10.3389/fimmu.2020.611004
  • Thevarajan I, Nguyen THO, Koutsakos M, et al. Breadth of concomitant immune responses prior to patient recovery: a case report of non-severe COVID-19. Nat Med. 2020;26(4):453-455. doi:10.1038/s41591-020-0819-2
  • Qin S, Jiang Y, Wei X, et al. Dynamic changes in monocytes subsets in COVID-19 patients. Hum Immunol. 2021;82(3):170-176. doi:10.1016/j.humimm.2020.12.010
  • Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (Trial Version 7). Chin Med J (Engl). 2020;133(9):1087-1095. doi:10.1097/CM9.0000000000000819
  • BAKANLIĞI, TC SAĞLIK, Bilim Kurulu çalışması. “COVID-19 (SARSCoV2 Enfeksiyonu) Rehberi.” Ankara: Sağlık Bakanlığı; Nisan 2020
  • Löhr P, Schiele S, Arndt TT, et al. Impact of age and gender on lymphocyte subset counts in patients with COVID-19. Cytometry A. 2023;103(2):127-135. doi:10.1002/cyto.a.24470
There are 25 citations in total.

Details

Primary Language English
Subjects Haematology
Journal Section Research Article
Authors

Tuğrul Elverdi 0000-0001-9496-5353

Abdülkadir Erçalışkan 0000-0002-1795-5773

Rıdvan Karaali 0000-0003-2440-7529

İlker İnanç Balkan 0000-0002-8977-5931

Deniz Özmen 0000-0001-7561-446X

Ayşe Salihoğlu 0000-0002-8758-7945

Birgül Mete 0000-0001-9417-8640

Ahmet Emre Eşkazan 0000-0001-9568-0894

Zafer Başlar 0000-0002-1807-7351

Fehmi Tabak 0000-0001-8632-2825

Muhlis Cem Ar 0000-0002-0332-9253

Project Number yok
Early Pub Date September 20, 2023
Publication Date October 1, 2023
Submission Date August 1, 2023
Published in Issue Year 2023

Cite

EndNote Elverdi T, Erçalışkan A, Karaali R, Balkan İİ, Özmen D, Salihoğlu A, Mete B, Eşkazan AE, Başlar Z, Tabak F, Ar MC (October 1, 2023) Flow Cytometric Analysis of Lymphocyte Subsets of Covid-19 Patients from A Single Centre in Turkey. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi 14 4 534–541.