Evidence map›Paper›PMID 35765053›Full record

ArticleBMC medical genomics2022

Effects and associated transcriptomic landscape changes of methamphetamine on immune cells.

Deshenyue Kong, Jun-Hong Mao, Hong Li, Jian-Yu Wang, Yu-Yang Li, Xiao-Cong Wu, Guo-Fen Re, Hua-You Luo, Yi-Qun Kuang, Kun-Hua Wang

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Deshenyue Kong *NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, 650032, China.
Jun-Hong Mao *NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, 650032, China.
Hong Li *Narcotics Control Bureau of the Ministry of Public Security of Yunnan Province, Kunming, 650032, China.
Jian-Yu WangNHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, 650032, China.
Yu-Yang LiNHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, 650032, China.
Xiao-Cong WuNHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, 650032, China.
Guo-Fen ReNHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, 650032, China.
Hua-You LuoNHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, 650032, China. 1677546296@qq.com.
Yi-Qun KuangNHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, 650032, China. yq610433@hotmail.com.
Kun-Hua WangNHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, 650032, China. wangkunhua1964@126.com.
Kunming Medical University · CNFirst Affiliated Hospital of Kunming Medical University · CNMinistry of Public Security of the People's Republic of China · CNYunnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethamphetamine (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.

methodsWe examined the response of three common immune cell lines, namely Jurkat, NK-92 and THP-1 cell lines, to methamphetamine by cell viability and apoptosis assay in vitro, and examined their response patterns at the mRNA level by RNA-sequencing. Differential expression analysis of two conditions (control and METH treatment) in three types of immune cells was performed using the DESeq2 R package (1.20.0). And some of the differentially expressed genes were verified by qPCR. We performed Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis of differentially expressed genes by the clusterProfiler R package (3.14.3). And gene enrichment analysis was also performed using MetaScape ( www.metascape.org ).

resultsThe viability of the three immune cells was differentially affected by methamphetamine, and the rate of NK-cell apoptosis was significantly increased. At the mRNA level, we found disorders of cholesterol metabolism in Jurkat cells, activation of ERK1 and ERK2 cascade in NK-92 cells, and disruption of calcium transport channels in THP-1 cells. In addition, all three cells showed changes in the phospholipid metabolic process.

conclusionsThe results suggest that both innate and adaptive immune cells are affected by METH abuse, and there may be commonalities between different immune cells at the transcriptome level. These results provide new insights into the potential effects by which METH injures the immune cells.

Indexed as

MethamphetamineGene OntologyHumansRNA, MessengerSequence Analysis, RNATranscriptomeMethamphetamineRNA, MessengerApoptosisCholesterol metabolicImmune cellMethamphetaminePhospholipid metabolicTranscriptome

Identifiers

PMID35765053
PMCPMC9241331
OpenAlexW4283712549

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.