Biological variation of peripheral blood T-lymphocytes

Falay, Mesude; Şeneş, Mehmet; Korkmaz, Selçuk; Zararsız, Gökmen; Turhan, Turan; Okay, Murat; Yücel, Çiğdem; Kılınçkaya, Muhammed Fevzi; Özet, Gülsüm; Yücel, Doğan

doi:10.1016/j.jim.2019.04.002

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…CD3+, CD4+, CD8+ T cell count, and CD4/CD8 ratio can quickly determine whether the human immune function is disordered. 11 , 12 This study showed that the CD3+, CD4+, and CD8+ T cell counts of the people with inflammation and cancer were significantly lower, and the ratio of CD4/CD8 was significantly higher than that of the physical examination population. It shows that the proportion of CD4+ and CD8+ T cells in the diseased population is seriously imbalanced, and cellular immune function is generally suppressed.…”

Section: Discussionmentioning

confidence: 77%

Establishment and Clinical Application of a Method for Detecting T Lymphocyte Subsets by Cellular Immunochip Technology

Chen

Liu

Xuan

et al. 2021

JIR

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Objective To establish and verify the method for detecting the immune phenotype of peripheral blood T lymphocytes by cellular immune chip technology, analyze the immune status, and discuss its clinical diagnostic value of different populations in the Qingyuan area. Methods First, a cellular immune chip was used to detect the number of T lymphocyte subsets CD3+, CD4+, CD8+, and CD4/CD8, followed by evaluating the accuracy and precision through a comparison with flow cytometry. After passing the performance verification, a large-scale detection was performed by a cellular immune chip in 8389 cases. Immunochip technology detects the expression of T lymphocyte subsets and analyzes the differences in cellular immune function among people with physical examination, inflammation, and cancer, as well as different cancer types and in genders. Results The cell immunochip method and flow cytometry method have the same accuracy and precision in detecting specimens, and the former is fast and simple, and is suitable for clinical use; big data analysis is expected to establish a reference range for CD3+, CD4+, and CD8+ T cell counts in Qingyuan. There are statistical differences in CD3+, CD4+, CD8+ T cell counts in physical examination, inflammation and cancer populations; there are also certain differences in CD3+, CD4+, CD8+ T cell counts and CD4/CD8 ratios between different cancer types and different diseases. Conclusion The method of cell immunochip technology to detect T lymphocyte subsets is simple and practical, with accurate results and rapid detection. It can be used for immune function monitoring and treatment prognosis evaluation of people with different diseases, and it is worthy of popularization and application in clinical practice.

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Section: Discussionmentioning

confidence: 77%

Establishment and Clinical Application of a Method for Detecting T Lymphocyte Subsets by Cellular Immunochip Technology

Chen

Liu

Xuan

et al. 2021

JIR

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“…All the blood samples were tested by the clinical labs within 6 h. CD3+/CD4+/CD8+ T cells were measured by multiple-color flow cytometry with human monoclonal anti-CD3-fluorescein isothiocyanate, anti-CD4-phycoerythrin, and anti-CD8-allophycocyanin according to the manufacturer’s instructions as reported in a previous study. 9 Lymphocyte subsets detection kits used in this study were purchased from BD company (Becton, Dickinson and Company, Franklin Lakes, USA). The cells were analyzed on a BD FACS Canto II flow cytometry system and analyzed with the BD FACS Diva Software (BD Biosciences, Becton, Dickinson and Company, Franklin Lakes, USA).…”

Section: Methodsmentioning

confidence: 99%

Section: Flow Cytometry Of Peripheral Bloodmentioning

confidence: 99%

Dysfunction of adaptive immunity is related to severity of COVID-19: a retrospective study

Xie

Lin

et al. 2020

Ther Adv Respir Dis

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Background: In December of 2019, coronavirus disease 2019 (Covid-19) was reported in Wuhan, China, and has now rapidly swept around the world. Much research has been carried out since the outbreak, but few studies have focused on the dysfunction of the adaptive immunity. Methods: In this retrospective and multi-center study, 373 patients with laboratory-confirmed COVID-19 from Shanghai Public Health Clinical Center and Affiliated Hospital of Putian University were recruited. Demographic, clinical, radiological features, and laboratory data were recorded and analyzed at admission and at discharge. Results of immunological tests were followed up until the patients were discharged. Results: Of the 373 patients with COVID-19 pneumonia, 322 were in the non-severe group and 51 were in the severe group. Number of T cells, CD4+ and CD8+ T cells, and total lymphocytes declined remarkably upon admission and elevated when the patients were discharged. At admission, counts of total lymphocytes, T cells, CD4+ and CD8+ T cells, and levels of C3 and C4 in the severe group were lower than those in the non-severe group, whereas the neutrophil to lymphocyte ratio (NLR) was higher in the severe group. Counts of T cells, CD4+ and CD8+ T cells, and total lymphocytes were negatively correlated with lactate dehydrogenase and C-reactive protein. Conclusion: COVID-19 might target adaptive immunity and cause a decrease in lymphocytes, especially T cells and subsets. Physicians should pay close attention to the adaptive immunity of patients upon admission. Monitoring NLR, T lymphocytes, and subsets would help physicians with the proper diagnosis and treatment of COVID-19. The reviews of this paper are available via the supplemental material section.

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Mechanism of action of Coptidis Rhizome in treating periodontitis based on network pharmacology and in vitro validation

Li,

Jiao,

Luo

et al. 2024

BMC Oral Health

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Objective Explore the therapeutic mechanism of Coptidis Rhizome (CR) in periodontitis using network pharmacology, and validate it through molecular docking and in vitro experiments. Methods Screened potential active components and target genes of CR from TCMSP and Swiss databases. Identified periodontitis-related target genes using GeneCards. Found common target genes using Venny. Conducted GO and KEGG pathway analysis. Performed molecular docking and in vitro experiments using Berberine, the main active component of CR, on lymphocytes from healthy and periodontitis patients. Assessed effects on inflammatory factors using CCK-8, flow cytometry, and ELISA. Results Fourteen active components and 291 targets of CR were identified. 30 intersecting target genes with periodontitis were found. GO and KEGG analysis revealed oxidative stress response and IL-17 signaling pathway as key mechanisms. Molecular docking showed strong binding of Berberine with ALOX5, AKT1, NOS2, and TNF. In vitro experiments have demonstrated the ability of berberine to inhibit the expression of Th17 + and other immune related cells in LPS stimulated lymphocytes, and reduce the secretion of IL-6, IL-8, and IL-17. Conclusion CR treats periodontitis through a multi-component, multi-target, and multi-pathway approach. Berberine, its key component, acts through the IL-17 signaling pathway to exert anti-inflammatory effects.

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Biological variation of peripheral blood T-lymphocytes

Cited by 7 publications

References 16 publications

Establishment and Clinical Application of a Method for Detecting T Lymphocyte Subsets by Cellular Immunochip Technology

Establishment and Clinical Application of a Method for Detecting T Lymphocyte Subsets by Cellular Immunochip Technology

Dysfunction of adaptive immunity is related to severity of COVID-19: a retrospective study

Mechanism of action of Coptidis Rhizome in treating periodontitis based on network pharmacology and in vitro validation

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