Evidence map›Paper›PMID 30301464›Full record

ArticleLipids in health and disease2018

Profile of cardiac lipid metabolism in STZ-induced diabetic mice.

Wenjie Li, Min Yao, Ruonan Wang, Yun Shi, Lianguo Hou, Ziyuan Hou, Kaoqi Lian, Nan Zhang, Yaqi Wang, Weiwei Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 43 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

12 authors at 1 institution in 1 country.

Wenjie LiDepartment of Biochemistry and Molecular Biology, The Key Laboratory of Neurobiology and Vascular Biology, China Administration of Education, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050017, China.
Min YaoDepartment of Biochemistry and Molecular Biology, The Key Laboratory of Neurobiology and Vascular Biology, China Administration of Education, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050017, China.
Ruonan WangDepartment of Biochemistry and Molecular Biology, The Key Laboratory of Neurobiology and Vascular Biology, China Administration of Education, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050017, China.
Yun ShiDepartment of Biochemistry and Molecular Biology, The Key Laboratory of Neurobiology and Vascular Biology, China Administration of Education, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050017, China.
Lianguo HouDepartment of Biochemistry and Molecular Biology, The Key Laboratory of Neurobiology and Vascular Biology, China Administration of Education, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050017, China.
Ziyuan HouAnyang Center for Disease Control and Prevention, No. 01 Ziyou Road, Anyang, 455000, Henan Province, China.
Kaoqi LianDepartment of Biochemistry and Molecular Biology, The Key Laboratory of Neurobiology and Vascular Biology, China Administration of Education, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050017, China.
Nan ZhangDepartment of Biochemistry and Molecular Biology, The Key Laboratory of Neurobiology and Vascular Biology, China Administration of Education, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050017, China.
Yaqi WangDepartment of Biochemistry and Molecular Biology, The Key Laboratory of Neurobiology and Vascular Biology, China Administration of Education, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050017, China.
Weiwei LiDepartment of Biochemistry and Molecular Biology, The Key Laboratory of Neurobiology and Vascular Biology, China Administration of Education, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050017, China.
Wei WangDepartment of Biochemistry and Molecular Biology, The Key Laboratory of Neurobiology and Vascular Biology, China Administration of Education, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050017, China.
Lingling JiangDepartment of Biochemistry and Molecular Biology, The Key Laboratory of Neurobiology and Vascular Biology, China Administration of Education, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050017, China. guiyang@hebmu.edu.cn.ORCID http://orcid.org/0000-0002-2713-7037
Hebei Medical University · CN

Funding

the Key Projects of Hebei Provincial Department of Education, China . ZD2015121
6 · The paper itself

Abstract

backgroundLipotoxicity contributes to diabetic myocardial disease. In this study, we investigated the lipid species contributing to lipotoxicity and the relationship with peroxisomal β-oxidation in the heart of diabetic mice.

methodsMale C57BL/6 mice were randomly divided into a Diabetic group (intraperitoneal injection of STZ) and a Control group (saline). Cardiac function indexes [ejection fraction (EF%) and fractional shortening (FS%)] were evaluated by echocardiography. Morphological changes in the myocardial tissues and mitochondria were assessed by electron microscopy following hematoxylin and eosin staining. Blood myocardial injury indexes and lipids were measured using an automatic biochemical analyzer. Cardiac ATP levels were analyzed using a commercially available kit. mRNA levels of glucose transporter 4 (GLUT4), fatty acid binding protein 3 (FABP3), palmitoyl transferase 1α (CPT-1α), acyl-CoA oxidase 1 (AOX1), D-bifunctional protein (DBP), 3-ketoacyl-CoA thiolase A (THLA), uncoupling protein (UCP) 2 and UCP3 were investigated by quantitative reverse-transcription polymerase chain reaction. FABP3 protein expression was analyzed by Western blotting. Non-targeted metabolomics by LC-MS/MS was applied to evaluate profile of lipid metabolism in heart.

resultsCompared with controls, EF% and FS% were significantly reduced in diabetic mice. Furthermore, blood myocardial injury indexes and lipids, as well as myocardial mitochondrial cristae fusion were significantly increased. In the diabetic heart, GLUT4 expression was decreased, while expression of FABP3, CPT-1α, AOX1, DBP, THLA, UCP2 and UCP3 was increased, and ATP levels were reduced. In total, 113 lipids exhibited significant differential expression (FC > 2, P < 0.05) between the two groups, with sphingolipid metabolism identified as the top-ranking affected canonical pathway. In the diabetic heart, long-chain hydroxyl-acylcarnitines (8/8) and acylcarnitines (6/11), triglycerides (2/5), and diacyglycerol (3/7) were upregulated, while very long-chain polyunsaturated fatty acids (PUFAs) (5/6) including eicosapentaenoate, docosahexaenoate, phosphocholine (11/19), lysophosphocholine (5/9), phosphoethanolamine (7/11), lysophosphoethanolamine (7/10), phosphatidylglycerol (6/8), phosphoserine (6/8), phosphatidylinositol (2/2), phosphatidic acid (1/1), lysophosphatidic acid (1/1) and sphingomyelin (6/6) were downregulated.

conclusionsOur data suggest that the increase in toxic lipid species and decreased in PUFAs undergoing peroxisomal β-oxidation, combined with the reduction in phospholipids cause mitochondrial injury and subsequent uncoupling of phosphorylation and ATP deficiency; thereby leading to diabetic heart dysfunction.

Indexed as

Lipid MetabolismAnimalsDiabetes Mellitus, ExperimentalDiabetic CardiomyopathiesHeartMaleMiceMice, Inbred C57BLMitochondriaMyocardiumDiabetic myocardial diseaseLipid metabolomicsLipotoxicityNon-targeted metabolomics

Identifiers

PMID30301464
PMCPMC6178266
OpenAlexW2897271827

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LicenceCC BY
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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.