Evidence map›Paper›PMID 30046334›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2018

Qi Liang, Zhipeng Qu, Yu Liang, QianJin Feng, Xin Niu, Temaka Bai, Yingli Wang, Qiang Song, David L Adelson

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2018. 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
0.1field-weighted citation impact, top 58% 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. Review
  3. 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

9 authors at 3 institutions in 2 countries.

Qi LiangShanxi University of Chinese Medicine, Taiyuan 030619, China.ORCID 0000-0002-0054-1478
Zhipeng QuSchool of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia.
Yu LiangShanxi University of Chinese Medicine, Taiyuan 030619, China.
QianJin FengShanxi University of Chinese Medicine, Taiyuan 030619, China.
Xin NiuBeijing University of Chinese Medicine, Beijing 100029, China.
Temaka BaiBeijing University of Chinese Medicine, Beijing 100029, China.
Yingli WangShanxi University of Chinese Medicine, Taiyuan 030619, China.
Qiang SongShanxi University of Chinese Medicine, Taiyuan 030619, China.ORCID 0000-0002-4912-5248
David L AdelsonSchool of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia.ORCID 0000-0003-2404-5636
Shanxi University · CNBeijing University of Chinese Medicine · CNThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsWe used high-glucose loaded 2-cell stage mouse embryos as a model and took advantage of single-cell RNA sequencing technology to analyze the transcriptome of the model with or without ZGW. Differential gene expression analysis was performed with DESeq2.

resultsHigh glucose can downregulate genes in the ribosome pathway, while ZGW can reverse this inhibition and as a result prevent embryo cell death caused by high glucose. Furthermore, high glucose can affect sugar metabolism and influence mitochondrial function, but ZGW can promote sugar metabolism via the tricarboxylic acid cycle mainly through upregulating the genes in the respiratory chain and oxidative phosphorylation.

conclusionsZGW had a protective effect on embryonic cell death caused by glucose loading. The reversion of inhibition of ribosome pathway and regulation of mitochondrial energy metabolism are main effects of ZGW on high-glucose loaded embryos. This research not only revealed the global gene regulation changes of high glucose affecting 2-cell stage embryos but also provided insight into the potential molecular mechanisms of ZGW on the IGT model.

Identifiers

PMID30046334
PMCPMC6036835
OpenAlexW2810968033

What OpenQuestion holds

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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.