Evidence map›Paper›PMID 29512687›Full record

ArticleInternational journal of molecular medicine2018

Transcriptomic and proteomic analysis of potential therapeutic target genes in the liver of metformin‑treated Sprague‑Dawley rats with type 2 diabetes mellitus.

Yitao Chen, Yangsheng Wu, Yuanxiao Yang, Zhiwei Xu, Junfeng Tong, Zheming Li, Xiaojie Zhou, Changyu Li

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 15 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

8 authors at 1 institution in 1 country.

Yitao ChenCollege of Life Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China.
Yangsheng WuCollege of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China.
Yuanxiao YangCollege of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China.
Zhiwei XuCollege of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China.
Junfeng TongCollege of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China.
Zheming LiCollege of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China.
Xiaojie ZhouCollege of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China.
Changyu LiCollege of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China.
Zhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main actions of metformin are as follows: To reduce hyperglycemia via the suppression of gluconeogenesis, improve glucose uptake and insulin sensitivity, and stimulate activation of adenosine monophosphate‑activated protein kinase during the treatment of diabetes mellitus. It is well known that metformin acts via complex mechanisms, including multitarget and multipathway mechanisms; however, the multitargeted antidiabetic genes of metformin remain obscure. The present study aimed to perform transcriptomic and proteomic analysis of potential therapeutic target genes in the liver of metformin‑treated Sprague‑Dawley rats with type 2 diabetes mellitus. The type 2 diabetes rat model was established using streptozotocin. Fasting blood glucose, hemoglobin A1c, serum insulin and biological parameters were subsequently measured. Differentially expressed genes (DEGs) and proteins were identified in the rat livers by expression profile analysis and isobaric tags for relative and absolute quantitation (iTRAQ). A 1.5‑fold alteration in gene expression, as determined using chip‑based expression profile analysis, and a 1.2‑fold alteration in protein expression, as determined using iTRAQ, were considered physiologically significant benchmarks, which were used to identify DEGS in metformin‑treated rats with type 2 diabetes mellitus. The DEGs were verified using quantitative polymerase chain reaction (qPCR) and western blot analysis. Numerous hepatic genes involved in various metabolic pathways were affected by metformin; in particular, genes associated with lipid metabolism were markedly affected. Expression profile analysis and iTRAQ analysis suggested that carboxylesterase 1C subunit (Ces1C) and cholesterol 7α‑hydroxylyase (Cyp7a1) may serve as important DEGs, which were validated by qPCR and western blot analysis. Ces1C and Cyp7a1 are the main enzymes in cholesterol metabolism, yet the result of western blotting was not consistent with qPCR. The present study demonstrated that metformin may affect the expression of numerous hepatic genes involved in metabolic pathways, particularly the lipid and cholesterol metabolic pathways. Ces1C and Cyp7a1 may be considered novel therapeutic target genes in the liver, which are involved in the antidiabetic effects of metformin.

Indexed as

AnimalsCarboxylesteraseCholesterol 7-alpha-HydroxylaseDiabetes Mellitus, Type 2Glycated HemoglobinHypoglycemic AgentsLiverMaleMetforminProteomicsRatsRats, Sprague-DawleyTranscriptomeCarboxylesteraseCholesterol 7-alpha-HydroxylaseGlycated HemoglobinHypoglycemic AgentsMetformin

Identifiers

PMID29512687
PMCPMC5881648
OpenAlexW2789677425

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC-ND
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.