Evidence map›Paper›PMID 27186166›Full record

ArticleArchives of medical science : AMS2016

Effects of metformin and sitagliptin on glycolipid metabolism in type 2 diabetic rats on different diets.

Juhong Yang, Tu Ba, Liming Chen, Chunyan Shan, Miaoyan Zheng, Ying Wang, Huizhu Ren, Jingli Chen, Jie Xu, Fei Han and 3 more

Open access · goldAbstract read
In one paragraph

Article in Archives of medical science : AMS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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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

13 authors at 3 institutions in 2 countries.

Juhong YangKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Tu BaKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Liming ChenKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Chunyan ShanKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Miaoyan ZhengKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Ying WangKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Huizhu RenKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Jingli ChenKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Jie XuKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Fei HanKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Yi ZhangKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Xiaoyun YangKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Baocheng ChangKey Laboratory of Hormone and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Disease, Tianjin Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Tianjin Hospital · CNTianjin Medical University · CNInstitute of Endocrinology · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of the study was to investigate the effects of metformin and sitagliptin on glycolipid metabolism in type 2 diabetes after different diets. MATERIAL AND

methodsSeventy Male Sprague Dawley rats were fed with a high fat diet followed by streptozotocin treatment to induce type 2 diabetes. Then all rats were randomly divided into a control group, a metformin group (200 mg/kg), and a sitagliptin group (10 mg/kg). Each group was further divided into 4 groups receiving one load of high carbohydrate diet (45% glucose, 4.5 ml/kg), high fat diet (20% lipid emulsion, 4.5 ml/kg), high protein diet (20% whey protein, 10 ml/kg) or mixed meal, respectively. The caloric densities were all 33 kJ/kg. Postprandial blood glucose (P2BG), triglyceride (TG), glucagon-like peptide-1 (GLP-1), glucagon and insulin levels were measured.

resultsIn the high carbohydrate group, sitagliptin was more efficient in lowering P2BG compared with metformin (p < 0.05). In the high-fat group, metformin was more powerful in lowering TG (p < 0.05) and P2BG (p < 0.05) levels because of its improvement of insulin sensitivity. In the high protein diet group, metformin did not reduce the P2BG level (p > 0.05), although it did reduce the TG level (p < 0.05). In the mixed diet group, metformin was more efficient in lowering P2BG (p < 0.05) but had a similar effect on TG (p > 0.05) compared with sitagliptin.

conclusionsIn the type 2 diabetic model, metformin and sitagliptin have different effects on glycolipid metabolism after different diets. If it is proved in type 2 diabetic patients, then different medicines may be recommended according to different diets in order to improve glycolipid metabolism.

Indexed as

diet interventionglycolipid metabolismmetforminsitagliptintype 2 diabetes

Identifiers

PMID27186166
PMCPMC4848356
OpenAlexW2395930051

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.