Evidence map›Paper›PMID 42761476›Full record

ArticleBioactive materials2027

Electron-rearranged CuMg@ZIF nanoplatform for pH-Responsive sequential therapy: From infection eradication to neuroangiogenesis in diabetic wounds.

Huihui Xie, Jing Zhang, Kang Liu, Dongsheng Li, Chenming Zhang, Yitian Lu, Yixuan Shi, Dehao Wang, Yanhuai Li, Lan Zhang

Abstract read
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In one paragraph

Article in Bioactive materials, 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Huihui XieState-key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 9, 710049, China.
Jing ZhangState-key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 9, 710049, China.
Kang LiuState-key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 9, 710049, China.
Dongsheng LiState-key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 9, 710049, China.
Chenming ZhangState-key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 9, 710049, China.
Yitian LuState-key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 9, 710049, China.
Yixuan ShiState-key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 9, 710049, China.
Dehao WangState-key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 9, 710049, China.
Yanhuai LiState-key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 9, 710049, China.
Lan ZhangState-key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an 9, 710049, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathological microenvironment of diabetic wounds greatly increases bacterial infection, hyperinflammation, vasculopathy and neuropathy, impeding wound healing. To address these issues, a Cu and Mg codoped ZIF-8 (CuMg@ZIF) nanoplatform with pH-responsive degradation and multi-enzyme activities (peroxidase (POD)-like activity, superoxide dismutase (SOD)- and catalase (CAT)- activity) was constructed. Density functional theory (DFT) calculations reveal that Cu and Mg doping induce stretching of metal-N bonds and electron rearrangement in ZIF framework, which enhance degradation and subsequent ion releasing in acidic microenvironment, and increase Cu

Indexed as

AntibiosisDiabetic woundsImmunoregulationMicroenvironment-responseNanoenzymes

Identifiers

PMID42761476
PMCPMC13586694

What OpenQuestion holds

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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.