Evidence map›Paper›PMID 38645464›Full record

ArticleInternational journal of nanomedicine2024

Regulating Tumor-Associated Macrophage Polarization by Cyclodextrin-Modified PLGA Nanoparticles Loaded with R848 for Treating Colon Cancer.

Haohua Yuan, Huan Gui, Shuanghui Chen, Lan Zhu, Chenglv Wang, Qianyu Jing, Hang Lv, Quan Wan, Shuyi Wang, Shengwen Zhou and 3 more

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Targeted delivery platforms forFrontiers in pharmacology · 2026
    Review
  8. Molecular Constraints of Sperm Sex Sorting via TLR7/8 Activation.Animals : an open access journal from MDPI · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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

13 authors.

Haohua YuanMedical College, Guizhou University, Guizhou Province, 550025, People's Republic of China.
Huan GuiMedical College, Guizhou University, Guizhou Province, 550025, People's Republic of China.
Shuanghui ChenMedical College, Guizhou University, Guizhou Province, 550025, People's Republic of China.
Lan ZhuMedical College, Guizhou University, Guizhou Province, 550025, People's Republic of China.
Chenglv WangMedical College, Guizhou University, Guizhou Province, 550025, People's Republic of China.
Qianyu JingSchool of Preclinical Medicine of Zunyi Medical University, Zunyi, Guizhou Province, 563000, People's Republic of China.
Hang LvMedical College, Guizhou University, Guizhou Province, 550025, People's Republic of China.ORCID 0009-0004-0658-9466
Quan WanSchool of Preclinical Medicine of Zunyi Medical University, Zunyi, Guizhou Province, 563000, People's Republic of China.
Shuyi WangMedical College, Guizhou University, Guizhou Province, 550025, People's Republic of China.
Shengwen ZhouMedical College, Guizhou University, Guizhou Province, 550025, People's Republic of China.
Xiaodong RenMedical College, Guizhou University, Guizhou Province, 550025, People's Republic of China.
Yingjie NieMedical College, Guizhou University, Guizhou Province, 550025, People's Republic of China.
Linzhao LiMedical College, Guizhou University, Guizhou Province, 550025, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to develop a novel and feasible modification strategy to improve the solubility and antitumor activity of resiquimod (R848) by utilizing the supramolecular effect of 2-hydroxypropyl-beta-cyclodextrin (2-HP-β-CD). Methods: R848-loaded PLGA nanoparticles modified with 2-HP-β-CD (CD@R848@NPs) were synthesized using an enhanced emulsification solvent-evaporation technique. The nanoparticles were then characterized in vitro by several methods, such as scanning electron microscopy (SEM), differential scanning calorimetry (DSC), Fourier transform infrared (FTIR) spectroscopy, particle size analysis, and zeta potential analysis. Then, the nanoparticles were loaded with IR-780 dye and imaged using an in vivo imaging device to evaluate their biodistribution. Additionally, the antitumor efficacy and underlying mechanism of CD@R848@NPs in combination with an anti-TNFR2 antibody were investigated using an MC-38 colon adenocarcinoma model in vivo. Results: The average size of the CD@R848@NPs was 376 ± 30 nm, and the surface charge was 21 ± 1 mV. Through this design, the targeting ability of 2-HP-β-CD can be leveraged and R848 is delivered to tumor-supporting M2-like macrophages in an efficient and specific manner. Moreover, we used an anti-TNFR2 antibody to reduce the proportion of Tregs. Compared with plain PLGA nanoparticles or R848, CD@R848@NPs increased penetration in tumor tissues, dramatically reprogrammed M1-like macrophages, removed tumors and prolonged patient survival. Conclusion: The new nanocapsule system is a promising strategy for targeting tumor, reprogramming tumor -associated macrophages, and enhancement immunotherapy.

Indexed as

2-Hydroxypropyl-beta-cyclodextrinColonic NeoplasmsImidazolesNanoparticlesPolylactic Acid-Polyglycolic Acid CopolymerTumor-Associated MacrophagesAnimalsAntineoplastic AgentsCell Line, TumorDrug CarriersHumansMiceParticle SizeTissue Distribution2-Hydroxypropyl-beta-cyclodextrinAntineoplastic AgentsDrug CarriersImidazolesPolylactic Acid-Polyglycolic Acid Copolymerresiquimod2-HP-β-CDanti-TNFR2immunotherapyR848TIME

Identifiers

PMID38645464
PMCPMC11032718

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.