Evidence map›Paper›PMID 37177631›Full record

ReviewSensors (Basel, Switzerland)2023

Interactions of Nanomaterials with Gut Microbiota and Their Applications in Cancer Therapy.

Xiaohui Li, Huan Wei, Jiachen Qi, Ke Ma, Yucheng Luo, Lixing Weng

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. 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

6 authors.

Xiaohui LiSchool of Geography and Bioinformatics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Huan WeiSchool of Geography and Bioinformatics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Jiachen QiSchool of Geography and Bioinformatics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Ke MaSchool of Geography and Bioinformatics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Yucheng LuoCollege of Materials Science & Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
Lixing WengSchool of Geography and Bioinformatics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.ORCID 0000-0002-7719-892X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer treatment is a challenge by its incredible complexity. As a key driver and player of cancer, gut microbiota influences the efficacy of cancer treatment. Modalities to manipulate gut microbiota have been reported to enhance antitumor efficacy in some cases. Nanomaterials (NMs) have been comprehensively applied in cancer diagnosis, imaging, and theranostics due to their unique and excellent properties, and their effectiveness is also influenced by gut microbiota. Nanotechnology is capable of targeting and manipulating gut microbiota, which offers massive opportunities to potentiate cancer treatment. Given the complexity of gut microbiota-host interactions, understanding NMs-gut interactions and NMs-gut microbiota interactions are important for applying nanotechnologies towards manipulating gut microbiota in cancer prevention and treatment. In this review, we provide an overview of NMs-gut interactions and NMs-gut microbiota interactions and highlight the influences of gut microbiota on the diagnosis and treatment effects of NMs, further illustrating the potential of nanotechnologies in cancer therapy. Investigation of the influences of NMs on cancer from the perspective of gut microbiota will boost the prospect of nanotechnology intervention of gut microbiota for cancer therapy.

Indexed as

Gastrointestinal MicrobiomeNanostructuresNeoplasmsHumansNanotechnologycancer therapygut microbiotananomaterialsnanotechnology

Identifiers

PMID37177631
PMCPMC10181640

What OpenQuestion holds

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LicenceCC BY
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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.