Evidence map›Paper›PMID 33490181›Full record

ArticleAnnals of translational medicine2020

Intestinal mRNA expression profile and bioinformatics analysis in a methamphetamine-induced mouse model of inflammatory bowel disease.

Jiaxue Sun, Fengrong Chen, Cheng Chen, Zherui Zhang, Zunyue Zhang, Weiwei Tian, Juehua Yu, Kunhua Wang

Abstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Differentially Expressed Genes inBiomolecules & therapeutics · 2022
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
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

8 authors.

Jiaxue SunNHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Fengrong ChenNHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Cheng ChenNHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Zherui ZhangNHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Zunyue ZhangNHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Weiwei TianNHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Juehua YuNHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Kunhua WangNHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethamphetamine use has become a serious global public health problem and puts increasing burdens on healthcare services. Abdominal complications caused by methamphetamine use are uncommon and often go ignored by clinicians. The exact intestinal pathological alterations and transcriptomic responses associated with methamphetamine use are not well understood. This study sought to investigate the transcriptome in a methamphetamine-induced mouse model of inflammatory bowel disease (IBD) using next-generation RNA sequencing.

methodsTissues from the ileum of methamphetamine-treated mice (n=5) and control mice (n=5) were dissected, processed and applied to RNA-sequencing. Bioinformatics and histopathological analysis were then performed. The expression profiles of intestinal tissue samples were analyzed and their expression profiles were integrated to obtain the differentially expressed genes and analyzed using bioinformatics. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of the differentially expressed genes were performed using Metascape.

resultsA total of 326 differentially expressed genes were identified; of these genes, 120 were upregulated and 206 were downregulated. The Gene Ontology analysis showed that the biological processes of the differentially expressed genes were focused primarily on the regulation of cellular catabolic processes, endocytosis, and autophagy. The main cellular components included the endoplasmic and endocytic vesicles, cytoskeleton, adherens junctions, focal adhesions, cell body, and lysosomes. Molecular functions included protein transferase, GTPase and proteinase activities, actin-binding, and protein-lipid complex binding. The Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that the differentially expressed genes were mainly involved in bacterial invasion of epithelial cells, protein processing in the endoplasmic reticulum, regulation of the actin cytoskeleton, and T-cell receptor signaling pathways. A set of overlapping genes between IBD and methamphetamine-treated intestinal tissues was discovered.

conclusionsThe present study is the first to analyze intestinal samples from methamphetamine-treated mice using high-throughput RNA sequencing. This study revealed key molecules that might be involved in the pathogenesis of a special type of methamphetamine-induced IBD. These results offer new insights into the relationship between methamphetamine abuse and IBD.

Indexed as

gastroenterologyMethamphetaminetranscriptomics

Identifiers

PMID33490181
PMCPMC7812166

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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.