Evidence map›Paper›PMID 37373469›Full record

ArticleInternational journal of molecular sciences2023

Small RNA Sequencing Analysis of STZ-Injured Pancreas Reveals Novel MicroRNA and Transfer RNA-Derived RNA with Biomarker Potential for Diabetes Mellitus.

Fangfang Mo, Bohan Lv, Dandan Zhao, Ziye Xi, Yining Qian, Dongyu Ge, Nan Yang, Dongwei Zhang, Guangjian Jiang, Sihua Gao

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. 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
1.0field-weighted citation impact, top 22% 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, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

10 authors at 2 institutions in 2 countries.

Fangfang MoTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID 0000-0002-4872-0678
Bohan LvTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China.
Dandan ZhaoTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China.
Ziye XiTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China.
Yining QianTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China.
Dongyu GeTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China.
Nan YangKennedy Institute of Rheumatology, University of Oxford, Oxford OX3 7FY, UK.
Dongwei ZhangTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China.
Guangjian JiangTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China.
Sihua GaoTraditional Chinese Medicine School, Beijing University of Chinese Medicine, Beijing 100029, China.
Beijing University of Chinese Medicine · CNUniversity of Oxford · GB

Funding

National Leading Talent Support Plan for Traditional Chinese Medicine in 2019-Qihuang scholar 1040063321005National Natural Science Foundation of China NSFC81703971the hiring Foreign Experts project by BUCM G2022110002Lthe Vertical Research Development Fund of BUCM 2021-ZXFZJJ-040the Visiting Scholar program funding by CSC 202106555003
6 · The paper itself

Abstract

MicroRNAs (miRNAs) and transfer RNA-derived small RNAs (tsRNAs) play critical roles in the regulation of different biological processes, but their underlying mechanisms in diabetes mellitus (DM) are still largely unknown. This study aimed to gain a better understanding of the functions of miRNAs and tsRNAs in the pathogenesis of DM. A high-fat diet (HFD) and streptozocin (STZ)-induced DM rat model was established. Pancreatic tissues were obtained for subsequent studies. The miRNA and tsRNA expression profiles in the DM and control groups were obtained by RNA sequencing and validated with quantitative reverse transcription-PCR (qRT-PCR). Subsequently, bioinformatics methods were used to predict target genes and the biological functions of differentially expressed miRNAs and tsRNAs. We identified 17 miRNAs and 28 tsRNAs that were significantly differentiated between the DM and control group. Subsequently, target genes were predicted for these altered miRNAs and tsRNAs, including Nalcn, Lpin2 and E2f3. These target genes were significantly enriched in localization as well as intracellular and protein binding. In addition, the results of KEGG analysis showed that the target genes were significantly enriched in the Wnt signaling pathway, insulin pathway, MAPK signaling pathway and Hippo signaling pathway. This study revealed the expression profiles of miRNAs and tsRNAs in the pancreas of a DM rat model using small RNA-Seq and predicted the target genes and associated pathways using bioinformatics analysis. Our findings provide a novel aspect in understanding the mechanisms of DM and identify potential targets for the diagnosis and treatment of DM.

Indexed as

Diabetes Mellitus, ExperimentalMicroRNAsAnimalsBiomarkersPancreasRatsRNA, TransferSequence Analysis, RNABiomarkersMicroRNAsRNA, Transferdiabetes mellitusmicroRNApancreas tissuepotential targettransfer RNA-derived small RNA

Identifiers

PMID37373469
PMCPMC10298999
OpenAlexW4381252022

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.