To evaluate the separation of T lymphocyte subsets by immunomagnetic beads and to find optimization of strategy for specific binding of antibody-coated beads to cells, two strategies to isolate enriched T lymphocyte subpopulation CD4+ T cells and CD8+ T cells from small volumes (< 5 ml) of peripheral blood by using immunomagnetic beads or complement cytotoxicity method were compared. The purity and activity of CD4+ T cells and CD8+ T cells were measured by using flow cytometry, trypan-blue dye exclusion test, etc. The results showed that the yields of CD4+ T lymphocytes and CD8+ T lymphocytes by using immunomagnetic beads were (94.2 +/- 1.4)% and (93.8 +/- 3.0)% respectively, higher than those of control group and the group of using completement cytotoxicity method (P < 0.05). At the same time, the yields of CD4+ T lymphocytes and CD8+ T lymphocytes by using complement cytotoxicity method were (76.0 +/- 2.8)% and (77.0 +/- 3.0)% respectively, higher than those of unenriched group (P < 0.05). The trypan-blue dye exclusion test confirmed that there were no influences on activity of CD4+ T cells and CD8+ T cells when immunomagnetic beads were used for separation of these cells from peripheral blood. It is concluded that the immunomagnetic bead method has a higher efficiency for separation of CD4+ T cells and CD8+ T cells from peripheral blood than complement cytotoxic method, especially for small sample. This method has no influence on activity and proliferation of T lymphocyte subpopulations, and would be expected to establish conditions for research of biological characteristics of CD4+ T cells and CD8+ T cells in future.
CD4-Positive T-Lymphocytes ; cytology ; CD8-Positive T-Lymphocytes ; cytology ; Flow Cytometry ; Humans ; Immunomagnetic Separation ; methods ; Leukocytes, Mononuclear ; cytology ; immunology

Cellular immunity is an important component of human immune system and plays a crucial role in the fight against tumor cell or invasive pathogens. Researches on cell-based immunotherapy have long been focused on eliciting tumor-specific CD8+ cytotoxic T lymphocytes (CTL) because of their potent killing activity and their ability to reject transplanted organs. However, the resulting treatments have been surprisingly poor at inducing complete tumor rejection, in both the experimental models and clinical trials. The CD4+ T cells has been studied mainly for their role as helpers for CD8+ CTL, even suggesting that the tumor-specific CD4 T regulatory cells could act as suppressors of antitumor responses. Recent studies indicated that CD4+T cells are not a pure cell lineage with single function, but a cell population with complex functions. Moreover CD4+ T cells may not only be helper cells, but also act as potent effector cells or partners with NK cells that can clear a wide variety of tumors. In a word, the antitumor potential of effector CD4+ T cells might have been underestimated. In this article, the classification and differentiation of CD4+ T cells, the function and secreted cytokines of CD4+ T cells, the CD4+ T cells and tumor immune, the tumor-immuno regulatory effects of CD4+ T cells, and clinical researches of CD4+ T cells are reviewed.
CD4-Positive T-Lymphocytes ; classification ; cytology ; immunology ; Cytokines ; metabolism ; Cytotoxicity, Immunologic ; Humans ; Immunity, Cellular

This paper introduces a method of recognizing CD4 cell microscopic images by a computer when the images are magnified about 100 times. This method reduces the intensity non-uniformities of background, enhances and segments the cells microscopic images by means of image processing. It extracts geometric feature, colour and optical features from the cells, and a Fisher classifier which can be constructed to recognize CD4 cells.
CD4 Lymphocyte Count ; methods ; CD4-Positive T-Lymphocytes ; cytology ; Image Processing, Computer-Assisted ; methods ; Pattern Recognition, Automated

OBJECTIVETo study the alteration of peripheral lymphocyte subsets in severe acute respiratory syndrome (SARS) patients and to help improve the early diagnosis of the disease.

METHODSAnti-coagulating blood samples from 98 SARS patients in the acute phase, 56 normal healthy blood donors, and from patients infected by HIV, CMV and EBV were collected. The T lymphocyte subsets were counted by flow cytometry using fluorescence-labeled specific monoclonal antibodies.

RESULTSA significant decrease was observed in all SARS patients in their peripheral CD4(+) and CD8(+) T lymphocyte absolute counts [256 (104) x 10(6)/L and 256 (117) x 10(6)/L, respectively], which were also lower than those of the patients infected with HIV, CMV and EBV. All patients infected with HIV, CMV and EBV had significantly higher CD8(+) T lymphocyte counts in comparison with normal controls.

CONCLUSIONSDecrease of both CD4(+) and CD8(+) T lymphocytes of patients is related to onset of SARS. T lymphocyte subset analysis would help improve the early diagnosis of the disease.

Adult ; CD4-Positive T-Lymphocytes ; cytology ; CD8-Positive T-Lymphocytes ; cytology ; Female ; Humans ; Leukocyte Count ; Male ; Severe Acute Respiratory Syndrome ; diagnosis

Maturation of T cells in thymus plays key roles in antigen-specific immune response. In maturation, thymocytes undergo positive and negative selection. The MHC restriction of T cell is determined in positive selection. The tolerance of T cells to autoantigen is acquired during negative selection. Quantitation (avidity) theory points out that difference of avidity between thymocytes and stroma cells leads to difference in the signals integrated inside cells. When the signal reaches a particular threshold, positive or negative selection takes place. In this article, the selection mechanism and the relationship between positive and negative selection are mini-reviewed.
Animals ; CD4-Positive T-Lymphocytes ; cytology ; immunology ; CD8-Positive T-Lymphocytes ; cytology ; immunology ; Cell Differentiation ; Humans ; Receptors, Antigen, T-Cell ; immunology ; Signal Transduction ; T-Lymphocytes ; immunology ; Thymus Gland ; cytology

BACKGROUND: We investigated the characteristics of the mononuclear cells remaining in the leukoreduction system (LRS) chambers of Trima Accel(R) in comparison with those of standard buffy coat cells, and evaluated their potential for differentiation into dendritic cells. METHODS: Twenty-six LRS chambers of Trima Accel(R) were collected after platelet pheresis from healthy adults. Flow cytometric analysis for T, B, NK, and CD14+ cells was performed and the number of CD34+ cells was counted. Differentiation and maturation into dendritic cells were induced using CD14+ cells seperated via Magnetic cell sorting (MACS(R)) Seperation (Miltenyi Biotec Inc., USA). RESULTS: Total white blood cell (WBC) count in LRS chambers was 10.8x108 (range 7.7-18.0x108). The median values (range) of proportions of each cells were CD4+ T cell 29.6% (18.7-37.6), CD8+ T cell 27.7% (19.2-40.0), B cell 5.5% (2.2-12.1), NK cell 15.7% (13.7-19.9), and CD14+ cells 12.4% (8.6-32.3) respectively. Although total WBC count was significantly higher in the buffy coat (whole blood of 400 mL) than the LRS chambers, the numbers of lymphocytes and monocytes were not statistically different. The numbers of B cells and CD4+ cells were significantly higher in the buffy coat than the LRS chambers (P<0.05). The median value (range) of CD34+ cells obtained from the LRS chambers was 0.9x10(6) (0.2-2.6x10(6)). After 7 days of cytokine-supplemented culture, the CD14+ cells were successfully differentiated into dendritic cells. CONCLUSIONS: The mononuclear cells in LRS chambers of Trima Accel(R) are an excellent alternative source of viable and functional human blood cells, which can be used for research purposes.
Adult ; B-Lymphocytes/cytology/immunology ; CD4-Positive T-Lymphocytes/cytology/immunology ; CD8-Positive T-Lymphocytes/cytology/immunology ; Cell Differentiation ; Dendritic Cells/*cytology/immunology ; Flow Cytometry ; Humans ; Killer Cells, Natural/cytology/immunology ; Plateletpheresis/*instrumentation

OBJECTIVE: To explore the better freezing protocol to preserve peripheral blood monuclear cells (PBMCs), islets antigen-specific T cells responses compared with freshly isolated samples in type 1 diabetic (T1D) patients. METHODS: The T cell Workshop Committee of the Immunology of Diabetes Society (IDS-TCW) organized the Freezing Study I and we were one of the 9 centers in the world to participate in the study. According to the two standardized T cell freezing protocols (warm and cold) to freshly isolated PBMCs in terms of recovery, viability, cell subset composition (FACS) and performance in Enzyme-linked immunospot (ELISPOT) assays, we chose 5 newly onset T1D patients and 5 age and sex matched healthy controls. Besides the protocols, all the freezing reagents and antigens were also centralized. The antigens used in ELISPOT were labeled blindedly. RESULTS: 1) Although warm frozen-thawed (W) samples had a slightly higher recovery rate (61.2% vs 60.1%, P>0.05) and viability (77.5% vs 74.9%, P>0.05) as compared with the cold frozen ones (C), the difference was not significant. 2) Both protocols led to a relative loss in monocytes as compared with the fresh samples (F) [3.2±1.1% (C) and 3.0±0.9% (W) vs 7.0±1.1% (F), both P<0.05], while other subsets including CD4+T, CD8+T, B cells, NK cells and NKT cells didn't. 3) Freezing and fresh samples showed similar IFN-γ secretion responses to polystimuli in ELISPOT. Irrespective of the freezing protocol, recall antigen Pediacel and islet antigen-reactive responses were both lower in the frozen cells compared with fresh PBMCs. The stimuli index (SI) of GADspecific T cell response in the fresh samples from T1D patients was 5.1, higher than that of frozen samples with either cold protocol (1.3) or warm one (1.4) (both P<0.05). Only fresh samples from T1D showed significantly higher GAD-specific T cell responses than the healthy controls no matter in SI (5.1 vs 0.9, P<0.05) or spot forming cells (8.1 vs 0.1, P<0.05), whereas the frozen samples did not show such difference. CONCLUSION More studies are needed to verify a freezing method to bring comparable islets antigen specific T cell responses in T1D patients to fresh PBMCs.
Adult ; CD4-Positive T-Lymphocytes ; immunology ; CD8-Positive T-Lymphocytes ; immunology ; Cryopreservation ; Diabetes Mellitus, Type 1 ; blood ; immunology ; Female ; Humans ; Islets of Langerhans ; immunology ; Leukocytes, Mononuclear ; cytology ; Male ; T-Cell Antigen Receptor Specificity ; immunology ; T-Lymphocytes ; cytology ; immunology ; Young Adult

To study the effects of supernatant derived from acute myeloid leukemia (AML) cell lines on proliferation and apoptosis of CD4(+) and CD8(+) T cell subsets and to investigate the mechanism by which AML escapes from immune recognition, lymphocytes were labeled with CFSE and were stimulated with anti-CD3 and anti-CD28 in presence or absence of supernatants from three AML cell lines (HL-60, NB4, U937). After culture, cell suspensions were labeled with 7AAD and CD4 PE (or CD8 PE). Cells were then detected by flow cytometry and their proliferation and apoptosis were analyzed. The results showed that supernatants from two of three cell lines (HL-60 and NB4) inhibited the proliferation of CD4(+) and CD8(+) T cells, and the degree of inhibition showed a dose-dependent way. Similarly, the apoptosis of stimulated CD4(+) T cells was inhibited, but stimulated CD8(+) T cells remained unaffected by supernatant from HL-60 and NB4. In contrary, the apoptosis of proliferative CD8(+) T cells were increased significantly by HL-60 and NB4 supernatant. It is concluded that soluble factors derived from AML cell lines inhibit the proliferation of CD4(+) and CD8(+) T cells and induce the apoptosis of proliferative CD8(+) T cells, that may be one of the mechanisms by which the immunity was suppressed.
Apoptosis ; physiology ; CD4-Positive T-Lymphocytes ; cytology ; immunology ; CD8-Positive T-Lymphocytes ; cytology ; immunology ; Cell Proliferation ; Cells, Cultured ; Culture Media ; HL-60 Cells ; Humans ; Leukemia, Myeloid, Acute ; immunology ; pathology ; T-Lymphocytes ; cytology ; Tumor Cells, Cultured ; U937 Cells

The aim of this study was to explore the regulatory function of interleukin-6(IL-6) on human Th17 cells. Human peripheral blood CD4(+) T cells were purified from healthy donors by anti-CD4 monoclonal antibody (mAb) conjugated microbeads. The experiment was divided into 2 groups. Test group in which CD4(+) T cells (1 × 10(6)/ml) were stimulated by human recombined IL-6 (20 ng/ml) for 4 days; control group in which CD4(+) T cells did not stimulated by IL-6. The concentrations of IL-17 protein in the supernatants were assayed by enzyme-linked immunosorbent assay (ELISA), and quantity of Th17 cells were detected by flow cytometry. The results showed that as compared to control group, IL-17 protein level in the supernatants of CD4(+) T cells significantly increased in IL-6 stimulated group: (337.05 ± 189.09 pg/ml; vs 15.07 ± 12.70 pg/ml) (p < 0.05). Furthermore, the percentage of Th17 cells in cultures of CD4(+) T cells stimulated by IL-6 was significantly higher than that in control group (4.05% ± 0.30% vs. 2.81% ± 0.44%)(p < 0.01). It is concluded that IL-6 promotes the expansion of Th17 cells in vitro.
CD4-Positive T-Lymphocytes ; cytology ; immunology ; Cells, Cultured ; Humans ; Interleukin-6 ; pharmacology ; Lymphocyte Activation ; immunology ; Th17 Cells ; drug effects ; immunology

This paper introduces the technology of recognizing CD4 cell by a computer, which successfully segments the objects from the background through image processing and analyses the four features including geometric features, optical density, color and texture features. The method based on Principal Component Analysis algorithm is used for feature extraction, and a Back Propagation neural network classifier is constructed, from which the CD4 cell can be well recognized. CD4 cell, image segmentation, feature analysis, Principal Component Analysis (PCA), Back Propagation (BP) neural network classifier is constructed, from which the CD4 cell can be well recognized.
Algorithms ; CD4-Positive T-Lymphocytes ; cytology ; Image Processing, Computer-Assisted ; Microscopy ; methods ; Neural Networks (Computer) ; Principal Component Analysis