Evidence map›Paper›PMID 31790971›Full record

ArticleMolecular therapy. Nucleic acids2020

Systematic Transcriptome and Regulatory Network Analyses Reveal the Hypoglycemic Mechanism of Dendrobium fimbriatum.

Qiong Zhang, Jing Li, Mei Luo, Gui-Yan Xie, Weiwei Zeng, Yuxin Wu, Yanhong Zhu, Xiangliang Yang, An-Yuan Guo

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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  5. A Comparative Analysis of Chemical Constituents and Antioxidant Effects ofInternational journal of molecular sciences · 2023
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  6. The effects ofIranian journal of basic medical sciences · 2023
    Review
  7. Article
  8. 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

9 authors at 1 institution in 1 country.

Qiong ZhangDepartment of Bioinformatics and Systems Biology, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Jing LiNational Engineering Research Center for Nano Medicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Mei LuoDepartment of Bioinformatics and Systems Biology, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Gui-Yan XieDepartment of Bioinformatics and Systems Biology, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Weiwei ZengNational Engineering Research Center for Nano Medicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Yuxin WuNational Engineering Research Center for Nano Medicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Yanhong ZhuNational Engineering Research Center for Nano Medicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China. Electronic address: yhzhu@hust.edu.cn.
Xiangliang YangNational Engineering Research Center for Nano Medicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China. Electronic address: yangxl@hust.edu.cn.
An-Yuan GuoDepartment of Bioinformatics and Systems Biology, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China. Electronic address: guoay@hust.edu.cn.
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a long-term metabolic disorder disease characterized by high blood sugar and relative lack of insulin. Previous studies have demonstrated that Dendrobium has potent glucose-lowing effects and may serve as add-ons or alternatives to classic medications for T2D prevention and treatment, but the underlying molecular mechanisms were still unclear. We performed biochemical and transcriptional profiling (RNA sequencing [RNA-seq] and microRNA sequencing [miRNA-seq]) analyses on the pancreas and liver of Dendrobium fimbriatum extract (DFE)-fed diabetic rats and control animals. Our sequencing and experimental data indicated that DFE significantly alleviated diabetes symptoms through inhibiting inflammation and preventing islet cell apoptosis in diabetic pancreas. Transcription factors in Stat/nuclear factor κB (NF-κB)/Irf families combined with miR-148a/375/9a served as key regulators in the inflammation and apoptosis pathways under DFE administration. Meanwhile, DFE improved the energy metabolism, lipid transport, and oxidoreductase activity in the liver, and thus decreased lipid accumulation and lipotoxicity-induced hepatocyte apoptosis. Our findings revealed that DFE may serve as a potential therapeutic agent to prevent T2D, and also showed the combination of transcriptome profiling and regulatory network analysis could act as an effective approach for investigating potential molecular mechanisms of traditional Chinese medicine on diseases.

Indexed as

Dendrobium fimbriatumdiabetesislet cell apoptosistraditional Chinese medicinetranscriptome profiling analysis

Identifiers

PMID31790971
PMCPMC6909217
OpenAlexW2985285721

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.