2022
DOI: 10.1186/s12920-022-01295-9
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Effects and associated transcriptomic landscape changes of methamphetamine on immune cells

Abstract: Background Methamphetamine (METH) abuse causes serious health problems, including injury to the immune system, leading to increased incidence of infections and even making withdrawal more difficult. Of course, immune cells, an important part of the immune system, are also injured in methamphetamine abuse. However, due to different research models and the lack of bioinformatics, the mechanism of METH injury to immune cells has not been clarified. Methods … Show more

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Cited by 3 publications
(3 citation statements)
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“…Multiple reports have shown T cells in various tissues are adversely impacted following METH exposure, 30,31 by dysregulating T cells' classical functions such as proliferation, cytokine secretion, tissue infiltration and cytotoxicity. [31][32][33][34][35] In addition, in individuals with HIV, METH increases viral adhesion, replication and disease progression, leading to persistent reductions in T cell populations. 31,36 Hence, we tested whether DAT expression is reduced in T cell subsets following methamphetamine treatment focusing on DAT-expressing CD3+, CD4+ and CD8+ T cells (Figure 2).…”
Section: Systemic Meth Induces An Immunophenotype Shift To Low-datexp...mentioning
confidence: 99%
“…Multiple reports have shown T cells in various tissues are adversely impacted following METH exposure, 30,31 by dysregulating T cells' classical functions such as proliferation, cytokine secretion, tissue infiltration and cytotoxicity. [31][32][33][34][35] In addition, in individuals with HIV, METH increases viral adhesion, replication and disease progression, leading to persistent reductions in T cell populations. 31,36 Hence, we tested whether DAT expression is reduced in T cell subsets following methamphetamine treatment focusing on DAT-expressing CD3+, CD4+ and CD8+ T cells (Figure 2).…”
Section: Systemic Meth Induces An Immunophenotype Shift To Low-datexp...mentioning
confidence: 99%
“…For RNA-sequencing, differential expression analysis was performed using the DESeq2 R package (1.20.0) where genes with an adjusted p-value < 0.05 found by DESeq2 were assigned as differentially expressed, and ClusterProfiler R package was used for Gene Ontology (GO) and KEGG enrichment analysis [ 22 , 23 ]. The codes reference resource was provided in the Additional file 2 : Table S2.…”
Section: Methodsmentioning
confidence: 99%
“…These sequences were deposited in the GEO NCBI repository ( with public access on 31 October 2021) and identified with accession number GSE189641 [ 33 ]. To contrast with our data, additional datasets were downloaded from JURKAT (SRP370930) [ 34 ], CEM (SRP319983) [ 35 ], and SUP-B15 (SRP319983 and SRP189893) [ 36 ]. Finally, peripheral blood derived from clinically healthy subjects (SRP281919) [ 37 ] and nonleukemia adult bone marrow data (SRP114952) [ 38 ] were also included as controls.…”
Section: Methodsmentioning
confidence: 99%