Evidence map›Paper›PMID 35548257›Full record

ArticleRSC advances2018

Lipid- and gut microbiota-modulating effects of graphene oxide nanoparticles in high-fat diet-induced hyperlipidemic mice.

Juan Li, Shengmei Yang, Jiaqi Yu, Rongli Cui, Ru Liu, Runhong Lei, Yanan Chang, Huan Geng, Yanxia Qin, Weihong Gu and 6 more

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Convergence of Nanotechnology and Bacteriotherapy for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Article
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

16 authors at 3 institutions in 1 country.

Juan LiCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.ORCID https://orcid.org/0000-0003-4110-3295
Shengmei YangCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.
Jiaqi YuPharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 100193 China cmwu@implad.ac.cn.
Rongli CuiCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.
Ru LiuCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.
Runhong LeiCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.
Yanan ChangCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.ORCID https://orcid.org/0000-0003-4745-6876
Huan GengCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.
Yanxia QinCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.
Weihong GuCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.ORCID https://orcid.org/0000-0002-0111-9949
Shibo XiaCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.
Kui ChenCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.
Jianglong KongCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.
Guogang ChenCollege of Food Science, Shihezi University Shihezi 832000 China cgg611@shzu.edu.cn.
Chongming WuPharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College Beijing 100193 China cmwu@implad.ac.cn.
Gengmei XingCAS Key Laboratory for Biomedical Effects of Nanomaterial & Nanosafety, Institute of High Energy Physics, Chinese Academy of Science (CAS) Beijing 100049 China xinggm@ihep.ac.cn.
Institute of High Energy Physics · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNShihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene oxide (GO) suspensions can act as a good dispersant and drug delivery system for effective dispersion and drug sustained release. In this study, we investigated the impact of GO on blood/liver lipids and gut microbiota structure in high-fat diet (HFD)-induced hyperlipidemic mice. Oral administration of GO for 28 days remarkably decreased the lipid levels in blood and liver

Identifiers

PMID35548257
PMCPMC9085910
OpenAlexW2891295260

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.