Evidence map›Paper›PMID 29301609›Full record

ArticleBMB reports2018

Integration of metabolomics and transcriptomics in nanotoxicity studies.

Tae Hwan Shin, Da Yeon Lee, Hyeon-Seong Lee, Hyung Jin Park, Moon Suk Jin, Man-Jeong Paik, Balachandran Manavalan, Jung-Soon Mo, Gwang Lee

Abstract readNews
In one paragraph

Article in BMB reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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

33 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Review
  6. Article
  7. Multi-omics reveals the mechanisms underlyingAnimal nutrition (Zhongguo xu mu shou yi xue hui) · 2023
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. RNA mNanoscale research letters · 2022
    Article
  15. Toxicity of metal-based nanoparticles: Challenges in the nano era.Frontiers in bioengineering and biotechnology · 2022
    Review
  16. Diesel-derived PMFrontiers in endocrinology · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. 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.

Tae Hwan ShinInstitute of Molecular Science and Technology, Ajou University and Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea.
Da Yeon LeeDepartment of Physiology, Ajou University School of Medicine, Suwon 16499, Korea.
Hyeon-Seong LeeCollege of Pharmacy, Sunchon National University, Suncheon 57922, Korea.
Hyung Jin ParkDepartment of Physiology, Ajou University School of Medicine, Suwon 16499, Korea.
Moon Suk JinDepartment of Physiology, Ajou University School of Medicine, Suwon 16499, Korea.
Man-Jeong PaikCollege of Pharmacy, Sunchon National University, Suncheon 57922, Korea.
Balachandran ManavalanDepartment of Physiology, Ajou University School of Medicine, Suwon 16499, Korea.
Jung-Soon MoGenomic Instability Research Center, Ajou University School of Medicine, Suwon 16499, Korea.
Gwang LeeInstitute of Molecular Science and Technology, Ajou University, and Department of Physiology, Ajou University School of Medicine, Suwon 16499, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomedical research involving nanoparticles has produced useful products with medical applications. However, the potential toxicity of nanoparticles in biofluids, cells, tissues, and organisms is a major challenge. The '-omics' analyses provide molecular profiles of multifactorial biological systems instead of focusing on a single molecule. The 'omics' approaches are necessary to evaluate nanotoxicity because classical methods for the detection of nanotoxicity have limited ability in detecting miniscule variations within a cell and do not accurately reflect the actual levels of nanotoxicity. In addition, the 'omics' approaches allow analyses of in-depth changes and compensate for the differences associated with high-throughput technologies between actual nanotoxicity and results from traditional cytotoxic evaluations. However, compared with a single omics approach, integrated omics provides precise and sensitive information by integrating complex biological conditions. Thus, these technologies contribute to extended safety evaluations of nanotoxicity and allow the accurate diagnoses of diseases far earlier than was once possible in the nanotechnology era. Here, we review a novel approach for evaluating nanotoxicity by integrating metabolomics with metabolomic profiling and transcriptomics, which is termed "metabotranscriptomics". [BMB Reports 2018; 51(1): 14-20].

Indexed as

AnimalsGene Expression ProfilingGenomicsHumansMetabolomicsNanoparticlesProteomics

Identifiers

PMID29301609
PMCPMC5796629

What OpenQuestion holds

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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.