| Literature DB >> 29581895 |
Raghava Potula1,2, Bijayesh Haldar1, Jonathan M Cenna1, Uma Sriram1, Shongshan Fan1.
Abstract
We and others have demonstrated that stimulants such as methamphetamine (METH) exerts immunosuppressive effects on the host's innate and adaptive immune systems and has profound immunological implications. Evaluation of the mechanisms responsible for T-cell immune dysregulation may lead to ways of regulating immune homeostasis during stimulant use. Here we evaluated the effects of METH on T cell cycle entry and progression following activation. Kinetic analyses of cell cycle progression of T-cell subsets exposed to METH demonstrated protracted G1/S phase transition and differentially regulated genes responsible for cell cycle regulation. This result was supported by in vivo studies where mice exposed to METH had altered G1 cell cycle phase and impaired T-cell proliferation. In addition, T cells subsets exposed to METH had significant decreased expression of cyclin E, CDK2 and transcription factor E2F1 expression. Overall, our results indicate that METH exposure results in altered T cell cycle entry and progression. Our findings suggest that disruption of cell cycle machinery due to METH may limit T-cell proliferation essential for mounting an effective adaptive immune response and thus may strongly contribute to deleterious effect on immune system.Entities:
Year: 2018 PMID: 29581895 PMCID: PMC5859078 DOI: 10.1038/s41420-018-0045-6
Source DB: PubMed Journal: Cell Death Discov ISSN: 2058-7716
Differential transcription profile of cell cycle pathway genes in METH treated T cells
| Gene symbol | Description | Physiological role | Fold change |
|---|---|---|---|
| G1 phase and G1/S transition | |||
| | Cyclin-dependent kinase inhibitor 3 | Cell cycle regulation: Dephosphorylates CDK2 in a cyclin-dependent manner. | 2.00↑ |
| | Cullin 1 | Ubiquitination of proteins involved in cell cycle progression, signal transduction and transcription. | 1.98 ↓ |
| S phase and DNA replication | |||
| | C-abl oncogene 1, receptor tyrosine kinase | Regulation of cytoskeleton remodeling during cell differentiation, cell division and cell adhesion. | 2.01↑ |
| | Minichromosome maintenance complex component 2 | Role in the initiation of DNA replication, replication fork movement, and intimately related to cell proliferation. | 2.02 ↓ |
| | Minichromosome maintenance complex component 4 | Central role in the regulation of DNA replication | 2.03 ↓ |
| G2 phase and G2/M transition | |||
| | Cyclin B1 | Essential for the control of the cell cycle at the G2/M (mitosis) transition | 2.01↑ |
| | Cyclin G1 | Modulator of the cell cycle and apoptosis, transcriptional target of p53 tumor suppressor gene | 1.94 ↓ |
| | Cyclin T2 | Regulatory subunit of the cyclin-dependent kinase pair essential for the elongation of transcription and cotranscriptional processing by RNA polymerase II | 1.98↑ |
| | Cyclin-dependent kinase 5, regulatory subunit 1 (p35) | Regulatory subunit of the cyclin-dependent kinase pair (CDK9/cyclin-T1) complex P-TEFb. | 2.02↑ |
| Cell cycle checkpoint, arrest and regulation | |||
| | Cyclin G2 | Role in growth regulation and in negative regulation of cell cycle. | 2.32↑ |
| | Retinoblastoma 1 | Negative regulator of the cell cycle, acts as a transcription repressor of E2F1 target genes. | 1.99↑ |
| | Retinoblastoma binding protein 8 | Regulates cell proliferation and complexes with transcriptional co-repressor CTBP. | 1.99 ↓ |
| | Cyclin D2 | Control of the cell cycle at the G1/S (start) transition. | 2.00 ↓ |
| | B-cell CLL/lymphoma 2 | Regulator of programmed cell death or apoptosis of cells such as lymphocytes by controlling the mitochondrial membrane permeability. | 1.99↓ |
| | Transcription factor Dp-1 | Control of cell-cycle progression from G1 to S phase | 2.02↑ |
Fig. 1METH alters cell cycle progression of CD4+ / CD8+ T cells.
PBMCs were stimulated with human anti-CD3/CD28 for 48 h to induce proliferation. After activation, PBMCs were either serum starved or treated with METH (100 μM), Aphidicoline (100 ng/ml) or Nocodazole (25 μM) for 24 h. The cells were stained with 7AAD and cell cycle data analysis was performed on CD4+ and CD8+ population. FlowJo Dean-Jett-Fox (DJF) cell cycle modeling algorithm was used to define the G1, S and G2 phases of the cell cycle. The data are presented as cellular DNA content frequency histograms. The green overlay indicates the fit curves to the stages of the cell cycle. Results are representative of nine independent experiments from five separate donors. a Representative DNA content frequency histograms of CD4+ T cells. b The data from the cell cycle distribution of CD4+ T cells are summarized and presented as the mean ± SEM of nine independent experiments. c Representative DNA content frequency histograms of CD8+ T cells. d The data from the cell cycle distribution of CD8+ T cells are summarized and presented as the mean ± SEM of nine independent experiments. ∇P < 0.05 and ∇∇P < 0.001 compared to unactivated cells; *P < 0.05 and **P < 0.001 compared to activated cells
Fig. 2Suppressed cyclin E expression of CD4/CD8+ T cells after METH treatment.
PBMCs were stimulated with human anti-CD3/CD28 for 48 h and then treated with METH (100 μM) for 24 h. a Representative histogram of fluorescence intensity of CD4+ T cells. b Fold change of Cyclin E expression in METH treated cells in respective phase in total gated CD4+ T-cell population. c Representative histogram of fluorescence intensity of CD8+ T cells. d Fold change of Cyclin E expression in METH treated cells in respective phase in total gated CD8+ T-cell population. The data from the cyclin E expression were summarized and presented as the mean ± SEM of five independent experiments. ∇P < 0.05 and ∇∇P < 0.001 compared to unactivated cells; *P < 0.05 compared to activated cells
Fig. 3Impaired CDK2 expression of CD4/CD8+ T cells following METH treatment.
PBMCs were exposed to METH (100 μM) for 24 h following stimulation with human anti-CD3/CD28 for 48 h. a Representative histogram of fluorescence intensity of CD4+ T cells. b Fold change of CDK2 expression in METH treated cells in respective phase in total gated CD4+ T-cell population. c Representative histogram of fluorescence intensity of CD8+ T cells. d Fold change of CDK2 expression in METH treated cells in respective phase in total gated CD8+ T-cell population. The data from the CDK2 expression were summarized and presented as the mean ± SEM of six independent experiments. ∇P < 0.05 and ∇∇P < 0.001 compared to unactivated cells; *P < 0.05 compared to activated cells
Fig. 4Decreased expression of E2F1 protein in T cells in response to METH.
Primary human T were activated with human anti-CD3/CD28 for 48 h treated with METH (100 μM) for 24 h. a Representative immunoblots of E2F1 and internal standard actin of three independent experiments are shown in blots. b The relative fold expression of protein subunits normalized to actin are shown in the histogram. The data are presented as the mean ± SEM of three independent experiments. ∇∇P < 0.001 compared to unactivated cells;**P < 0.001 compared to activated cells
Fig. 5Methamphetamine alters numbers of proliferating cells of mouse spleen.
Paraffin-embedded spleen was sectioned at 5 μm and immunostained with anti-Ki67 antibody. (A) Representative images of control and METH mouse spleens immunostained with anti-Ki67 antibody. (B) Data representing semiquantitative analyses of Ki67 staining from five different field for each mice (n = 3) presented as the mean ± SEM. **P < 0.001 compared to control mice
Fig. 6Impaired cell cycle progression of CD4+ and CD8+ T cells in mice exposed to METH.
Splenocytes were stimulated with mouse anti-CD3/CD28 for 48 h to induce proliferation. After activation cells were stained with 7AAD and cell cycle data analysis was performed on CD4+ and CD8+ population. FlowJo Dean-Jett-Fox (DJF) cell cycle modeling algorithm was used to define the G1, S and G2 phases of the cell cycle. Results are representative of two different experiments from three mice per day. a Average values of % fraction of cells in respective phase in total gated CD4+ T-cell population. b Average values of % fraction of cells in respective phase in total gated CD8+ T-cell population. *P value < 0.05 compare to control mice
Fig. 7Gating strategies for the flow cytometry analyses of peripheral blood leukocytes.
Peripheral blood leukocytes from healthy individuals (n = 5) were separated into two broad subsets following staining with cell surface marker CD20, using flow cytometry. Based on their distribution in a side scatter (SS) vs. forward scatter (FS) contour plot, viable leukocytes were selected. B lymphocytes were identified based on their binding of the CD20 antibody, while CD20-negative lymphocytes were identified as T lymphocytes. From this CD20-negative T lymphocytes population, CD4+ and CD8+ T cells were identified based on their binding to CD4 and CD8 antibodies, respectively