Evidence map›Paper›PMID 30621707›Full record

ArticleLipids in health and disease2019

Plasma lipidomic signatures of spontaneous obese rhesus monkeys.

Junlong Wang, Linqiang Zhang, Ruyue Xiao, Yunhai Li, Shasha Liao, Zhiguo Zhang, Wenhui Yang, Bin Liang

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

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  12. Advances in Research on Diabetes by Human Nutriomics.International journal of molecular sciences · 2019
    Review
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 4 institutions in 1 country.

Junlong WangKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan province, Chinese Academy of Sciences, Kunming Institute of Zoology, Kunming, 650223, China.
Linqiang ZhangKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan province, Chinese Academy of Sciences, Kunming Institute of Zoology, Kunming, 650223, China.
Ruyue XiaoKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan province, Chinese Academy of Sciences, Kunming Institute of Zoology, Kunming, 650223, China.
Yunhai LiKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan province, Chinese Academy of Sciences, Kunming Institute of Zoology, Kunming, 650223, China.
Shasha LiaoSchool of Life Sciences, Anhui University, Hefei, 230601, Anhui, China.
Zhiguo ZhangKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan province, Chinese Academy of Sciences, Kunming Institute of Zoology, Kunming, 650223, China.
Wenhui YangKey Laboratory of Cardiovascular Disease of Yunnan Province, Department of Geriatrics, Yan'an Affiliated Hospital of Kunming Medical University, Kunming, China.
Bin LiangKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan province, Chinese Academy of Sciences, Kunming Institute of Zoology, Kunming, 650223, China. liangb@mail.kiz.ac.cn.
Chinese Academy of Sciences · CNAnhui University · CNKunming Institute of Zoology · CNKunming Medical University · CN

Funding

National Natural Science Foundation of China U1402225
6 · The paper itself

Abstract

backgroundObesity plays crucial roles in the pathogenesis of metabolic diseases such as hyperlipidemia, nonalcoholic fatty liver disease (NAFLD), and type 2 diabetes (T2D). The underlying mechanisms linking obesity to metabolic diseases are still less understandable.

methodsPreviously, we screened a group of spontaneously obese rhesus monkeys. Here, we performed a plasma lipidomic analysis of normal and obese monkeys using gas chromatography/mass spectroscopy (GC/MS) and ultra-high performance liquid chromatography/mass spectroscopy (UPLC/MS).

resultsIn total, 143 lipid species were identified, quantified, and classified into free fatty acids (FFA), phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidylserine (PS), phosphatidylglycerol (PG), lysophosphatidylcholine (LPC), lysophosphatidic acid (LPA), and sphingomyelin (SM). Data analysis showed that the obese monkeys had increased levels of fatty acids palmitoleic acid (C16:1) and arachidonic acid (C20:4), FFA especially palmitic acid (C16:0), as well as certain PC species and SM species. Surprisingly, the plasma level of LPA-C16:0 was approximately four-fold greater in the obese monkeys. Conversely, the levels of most PE species were obviously reduced in the obese monkeys.

conclusionCollectively, our work suggests that lipids such as FFA C16:0 and 16:0-LPA may be potential candidates for the diagnosis and study of obesity-related diseases.

Indexed as

Lipid MetabolismMetabolomeAnimalsCase-Control StudiesFatty Acids, NonesterifiedFemaleGas Chromatography-Mass SpectrometryLysophosphatidylcholinesLysophospholipidsMacaca mulattaObesityPhosphatidylcholinesPhosphatidylethanolaminesPhosphatidylglycerolsPhosphatidylinositolsPhosphatidylserinesFatty Acids, Nonesterifiedlysophosphatidic acidLysophosphatidylcholinesLysophospholipidsPhosphatidylcholinesphosphatidylethanolaminePhosphatidylethanolaminesPhosphatidylglycerolsPhosphatidylinositolsPhosphatidylserinesSphingomyelinsObesityPalmitic acid (C16:0)Plasma lipidomeRhesus monkeys

Identifiers

PMID30621707
PMCPMC6323686
OpenAlexW2913525309

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.