Back

Dysfunction of transfer RNA modifications in inflammatory bowel disease

Zhang, J.; Zhang, Y.-g.; Xia, Y.; Sun, J.

2022-05-19 cell biology
10.1101/2022.05.18.492467 bioRxiv
Show abstract

Backgrounds and aimsTransfer RNA (tRNA) is the most extensively modified RNA in cells. Queuosine (Q)-modification is a fundamental process for fidelity and efficiency of translation from RNA to proteins. In eukaryotes, tRNA-Q-modification relies on the intestinal microbial product queuine. However, the roles and potential mechanisms of Q-tRNA modifications in IBD are unknown. MethodsWe explored the Q-tRNA modifications and expression of Q tRNA ribosyltransferase catalytic subunit 1 (QTRT1) in patients with IBD by investigating human biopsies and reanalyzing datasets. We used colitis models, organoids, and cultured cells for loss- and gain-of-function studies to investigate the molecular mechanisms of Q-tRNA modifications in intestinal inflammation. ResultsQTRT1 expression was significantly downregulated in ulcerative colitis and Crohns disease patients. The four Q-tRNA-related tRNA synthetases (asparaginyl-aspartyl-, histidyl-, and tyrosyl-tRNA synthetase) were decreased in IBD patients. This reduction was further confirmed in DSS-induced colitis and IL10-deficient mice. Reduced QTRT1 was significantly correlated with cell proliferation and intestinal junctions, including downregulated {beta}-catenin and Claudin-5 and upregulated Claudin-2. These alterations were confirmed in vitro by deleting QTRT1 from cells. Queuine treatment significantly enhanced cell proliferation and junction functions in cell lines and human colonoids. Queuine treatment also reduced inflammation in epithelial cells. Moreover, altered QTRT1-related metabolites were found in human IBD. ConclusiontRNA modifications play an unexplored novel role in the pathogenesis of intestinal inflammation by altering epithelial proliferation and junctions. Investigations on tRNA modification will uncover novel molecular mechanisms for potential prevention and therapy for IBD.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Gastroenterology
40 papers in training set
Top 0.1%
33.8%
2
International Journal of Molecular Sciences
453 papers in training set
Top 1%
5.0%
3
Clinical and Translational Medicine
30 papers in training set
Top 0.1%
4.4%
4
PLOS ONE
4510 papers in training set
Top 43%
2.8%
5
Cell Discovery
54 papers in training set
Top 2%
2.8%
6
Scientific Reports
3102 papers in training set
Top 43%
2.8%
50% of probability mass above
7
Inflammatory Bowel Diseases
15 papers in training set
Top 0.1%
2.7%
8
The FASEB Journal
175 papers in training set
Top 0.5%
2.4%
9
Nucleic Acids Research
1128 papers in training set
Top 8%
2.1%
10
mSystems
361 papers in training set
Top 5%
1.7%
11
Genes
126 papers in training set
Top 0.9%
1.7%
12
eLife
5422 papers in training set
Top 41%
1.7%
13
Journal of Genetics and Genomics
36 papers in training set
Top 1%
1.4%
14
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 4%
1.3%
15
Cellular and Molecular Gastroenterology and Hepatology
41 papers in training set
Top 0.5%
1.3%
16
Frontiers in Genetics
197 papers in training set
Top 7%
1.1%
17
Gut Microbes
70 papers in training set
Top 0.8%
0.9%
18
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 7%
0.9%
19
ACS Omega
90 papers in training set
Top 3%
0.8%
20
Cells
232 papers in training set
Top 5%
0.8%
21
Computational and Structural Biotechnology Journal
216 papers in training set
Top 9%
0.8%
22
EBioMedicine
39 papers in training set
Top 1%
0.8%
23
Epigenomics
10 papers in training set
Top 0.1%
0.8%
24
Clinical Immunology
21 papers in training set
Top 0.6%
0.7%
25
Journal of Proteomics
27 papers in training set
Top 0.5%
0.7%
26
PLOS Genetics
756 papers in training set
Top 16%
0.7%
27
iScience
1063 papers in training set
Top 36%
0.7%
28
Microbial Cell Factories
22 papers in training set
Top 0.5%
0.7%
29
Bioinformatics
1061 papers in training set
Top 10%
0.7%
30
Frontiers in Medicine
113 papers in training set
Top 8%
0.7%