Evidence map›Paper›PMID 40530412›Full record

ArticleBioactive materials2025

Real-time magnetic resonance visualization of tumor acidosis as a precognition indicator of therapeutic efficacy.

Mengyao Mu, Mengmeng Zhang, Jie Liu, Ke Ren, Hui Liu, Lixian Yip, Kai Guo, Feifei Teng, Jian Dong, Xueli Xu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioactive materials, 2025. 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
–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

3 citing papers in PubMed.

  1. Two-step distance tuning of TMaterials today. Bio · 2026
    Article
  2. Article
  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

12 authors.

Mengyao MuSchool of Science, Shandong Jianzhu University, Jinan, 250101, China.
Mengmeng ZhangShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250000, China.
Jie LiuShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250000, China.
Ke RenShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250000, China.
Hui LiuShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250000, China.
Lixian YipDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, 117585, Singapore.
Kai GuoShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250000, China.
Feifei TengShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250000, China.
Jian DongShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250000, China.
Xueli XuSchool of Science, Shandong Jianzhu University, Jinan, 250101, China.
David Tai LeongDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, 117585, Singapore.
Xiao SunShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional antitumor strategies often require sufficient time to assess the effectiveness according to changes in tumor structure. Once ineffective, patients may miss the critical window for pursuing alternative treatment options. Herein, a manganese sulfide nanoplatform loaded with proton pump inhibitor (PPI) is developed. This nanoplatform is designed for visualizing tumor acidosis degree by magnetic resonance imaging (MRI), achieving real-time therapeutic efficacy precognition. The nanoplatform releases PPI, H

Indexed as

Molecular imagingMRI visualizationPPIPredicting therapyTumor acidosis

Identifiers

PMID40530412
PMCPMC12172170

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.