KaydedilenlerDerginizi ekleyin

Dergiler / Journal of Health Sciences and Medicine / 2022 / Cilt: 5 - Sayı: 4

Identification of lymphocyte subgroups with flow cytometry in COVID-19 patients

İlhami BERBER
Nurcan KIRICI BERBER
Ahmet SARICI
Harika GÖZÜKARA BAĞ
Soykan BİÇİM
Burhan TURGUT
Furkan ÇAĞAN
Mehmet Ali ERKURT
Ayşe UYSAL
Nihal Sümeyye ULUTAŞ
Emin KAYA
İrfan KUKU
Sayfa
1183–1189
Yayın Tarihi
2022-07-20
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Results: The patients' CD3(+)CD4(+) ( T helper) count and CD27 expression on T cells counts were significantly lower, and CD57 expression on CD3(+)CD8(+) T cytotoxic cells were significantly higher (p

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Objective: We aimed to determine lymphocyte subgroups and activation status of flow cytometry in COVID-19 patients and examine their relationship with disease stage and length of hospital stay.
📊
Temel Bulgular & Veri:Material and Method: Forty patients were analyzed in this study and compared with the age and sex-matched 40 healthy controls.
💡
Sonuç & Katkı:Results: The patients' CD3(+)CD4(+) ( T helper) count and CD27 expression on T cells counts were significantly lower, and CD57 expression on CD3(+)CD8(+) T cytotoxic cells were significantly higher (p
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:COVID-19 · flow cytometry · lymphocytes

Abstract

Objective: We aimed to determine lymphocyte subgroups and activation status of flow cytometry in COVID-19 patients and examine their relationship with disease stage and length of hospital stay. Material and Method: Forty patients were analyzed in this study and compared with the age and sex-matched 40 healthy controls. COVID-19 patients have split as early and advanced-stage diseases. Flow cytometry assay was performed to determine the counts of lymphocyte subsets and activation status. Total lymphocyte count was calculated and CD45 (cluster of differentiation), CD3, CD4, CD8, CD19, CD27, CD38, CD56, CD57, and IgD were studied on lymphocyte gate. T helper / T cytotoxic rates and length of hospital stay were recorded. Results: The patients' CD3(+)CD4(+) ( T helper) count and CD27 expression on T cells counts were significantly lower, and CD57 expression on CD3(+)CD8(+) T cytotoxic cells were significantly higher (p

🔖

Bu Makaleye Atıf Yap

BERBER, İ., BERBER, N. K., SARICI, A., BAĞ, H. G., BİÇİM, S., TURGUT, B., ÇAĞAN, F., ERKURT, M. A., UYSAL, A., ULUTAŞ, N. S., KAYA, E., KUKU, İ. (2022). Identification of lymphocyte subgroups with flow cytometry in COVID-19 patients. Journal of Health Sciences and Medicine, Cilt: 5 - Sayı: 4, 1183–1189. https://ajindex.com/articles/776527

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (11)

  1. Li Q, Guan X, Wu P, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med 2020; 382: 1199-207.
  2. Pal M, Berhanu G, Desalegn C, Kandi V. Severe acute respiratory syndrome coronavirus-2(SARS-CoV-2): an update. Cureus 2020; 12: e7423. World Health Organization Press Conference. The World Health Organization (WHO) Has Officially Named the Disease Caused by the Novel Coronavirus as COVID-19. Available online: URL: https://www.who.int/ emergencies/diseases/novel-coronavirus-2019 (accessed on 18 May 2020).
  3. Chan JF, Yuan S, Kok KH, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet 2020; 395: 514-23.
  4. Zhu N, Zhang D, Wang W, et al. A Novel coronavirus from patients with pneumonia in China. N Engl J Med 2020; 382: 727-33.
  5. Rodriguez-Morales AJ, Cardona-Ospina JA, Gutiérrez-Ocampo E, et al Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis. Travel Med Infect Dis 2020; 34: 101623. Weiliang C, Li S, Lin C, et al. Clinical features, and laboratory inspection of novel coronavirus pneumonia (COVID-19) in Xiangyang, Hubei. medRxiv. URL: https://www.medrxiv.org/content/10.1101/2020.02.23.20026963v1
  6. Gao Y, Li T, Han M, et al. Diagnostic utility of clinical laboratory data determinations for patients with the severe COVID-19. J Med Virol. 2020; 92: 791-96.
  7. Lauer SA, Grantz KH, Bi Q, et al. The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: estimation and application. Ann Intern Med 2020; 172: 577-82.
  8. Eubank S, Eckstrand I, Lewis B, et al. Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand. Bull Math Biol 2020; 82: 52. Lederman S, Yellin MJ, Krichevsky A, et al. Identification of a novel surface protein on activated CD4+ T cells that induces contact-dependent B cell differentiation(help). J Exp Med 1992; 175: 1091-101.
  9. Buchan SL, Rogel A, Al-Shamkhani A. The immunobiology of CD27 and OX40 and their potential as targets for cancer immunotherapy. Blood 2018; 131: 39–48.
  10. Kared H, Martelli S, Ng TP, et al. CD57 in human natural killer cells and T-lymphocytes. Cancer Immunol Immunother 2016; 65: 441-52.
  11. Lino VA, Santos SM, Bittencourt HN, et al. Quantification of CD8(+)CD38(+) T lymphocytes by flow cytometry does not represent a good biomarker to monitor the reactivation of cytomegalovir