Evidence map›Paper›PMID 28505362›Full record

ArticleGigaScience2017

Lipidomic profiling reveals distinct differences in plasma lipid composition in healthy, prediabetic, and type 2 diabetic individuals.

Huanzi Zhong, Chao Fang, Yanqun Fan, Yan Lu, Bo Wen, Huahui Ren, Guixue Hou, Fangming Yang, Hailiang Xie, Zhuye Jie and 17 more

Abstract read
In one paragraph

Article in GigaScience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. QTL mapping of downy mildew resistance in foxtail millet by SLAF‑seq and BSR-seq analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  20. Plasma leptin level mirrors metabolome alterations in young adults.Metabolomics : Official journal of the Metabolomic Society · 2020
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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

27 authors.

Huanzi ZhongBGI-Shenzhen, Shenzhen 518083, China.
Chao FangBGI-Shenzhen, Shenzhen 518083, China.
Yanqun FanBGI-Shenzhen, Shenzhen 518083, China.
Yan LuSuzhou Center for Disease Prevention and Control, Suzhou 215007, China.
Bo WenBGI-Shenzhen, Shenzhen 518083, China.
Huahui RenBGI-Shenzhen, Shenzhen 518083, China.
Guixue HouProteomics Division, BGI-Shenzhen, Shenzhen 518083, China.
Fangming YangBGI-Shenzhen, Shenzhen 518083, China.
Hailiang XieBGI-Shenzhen, Shenzhen 518083, China.
Zhuye JieBGI-Shenzhen, Shenzhen 518083, China.
Ye PengBGI-Shenzhen, Shenzhen 518083, China.
Zhiqiang YeBGI-Shenzhen, Shenzhen 518083, China.
Jiegen WuBGI-Shenzhen, Shenzhen 518083, China.
Jin ZiProteomics Division, BGI-Shenzhen, Shenzhen 518083, China.
Guoqing ZhaoChina National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen 518083, China.
Jiayu ChenChina National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen 518083, China.
Xiao BaoChina National GeneBank-Shenzhen, BGI-Shenzhen, Shenzhen 518083, China.
Yihe HuSuzhou Center for Disease Prevention and Control, Suzhou 215007, China.
Yan GaoSuzhou Center for Disease Prevention and Control, Suzhou 215007, China.
Jun ZhangSuzhou Center for Disease Prevention and Control, Suzhou 215007, China.
Huanming YangBGI-Shenzhen, Shenzhen 518083, China.
Jian WangBGI-Shenzhen, Shenzhen 518083, China.
Lise MadsenBGI-Shenzhen, Shenzhen 518083, China.
Karsten KristiansenBGI-Shenzhen, Shenzhen 518083, China.
Chuanming NiSuzhou Center for Disease Prevention and Control, Suzhou 215007, China.
Junhua LiBGI-Shenzhen, Shenzhen 518083, China.
Siqi LiuBGI-Shenzhen, Shenzhen 518083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between dyslipidemia and type 2 diabetes mellitus (T2D) has been extensively reported, but the global lipid profiles, especially in the East Asia population, associated with the development of T2D remain to be characterized. Liquid chromatography coupled to tandem mass spectrometry was applied to detect the global lipidome in the fasting plasma of 293 Chinese individuals, including 114 T2D patients, 81 prediabetic subjects, and 98 individuals with normal glucose tolerance (NGT). Both qualitative and quantitative analyses revealed a gradual change in plasma lipid features with T2D patients exhibiting characteristics close to those of prediabetic individuals, whereas they differed significantly from individuals with NGT. We constructed and validated a random forest classifier with 28 lipidomic features that effectively discriminated T2D from NGT or prediabetes. Most of the selected features significantly correlated with diabetic clinical indices. Hydroxybutyrylcarnitine was positively correlated with fasting plasma glucose, 2-hour postprandial glucose, glycated hemoglobin, and insulin resistance index (HOMA-IR). Lysophosphatidylcholines such as lysophosphatidylcholine (18:0), lysophosphatidylcholine (18:1), and lysophosphatidylcholine (18:2) were all negatively correlated with HOMA-IR. The altered plasma lipidome in Chinese T2D and prediabetic subjects suggests that lipid features may play a role in the pathogenesis of T2D and that such features may provide a basis for evaluating risk and monitoring disease development.

Indexed as

AgedBlood GlucoseChinaDiabetes Mellitus, Type 2FemaleHumansLipidsMaleMiddle AgedBlood GlucoseLipidslipidomicsplasmaprediabetestype 2 diabetes

Identifiers

PMID28505362
PMCPMC5502363

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.