Evidence map›Paper›PMID 40322555›Full record

ReviewBiomedical reports2025

Mechanism of influence of calcified nanoparticles in the development of calcified diseases (Review).

Shijian Li, Jihua Wu, Bing Bin

Abstract readReview
In one paragraph

Review in Biomedical reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Shijian LiTransplant Medical Research Institution, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530007, P.R. China.
Jihua WuTransplant Medical Research Institution, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530007, P.R. China.
Bing BinTransplant Medical Research Institution, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530007, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Calcified nanoparticles (CNPs), also known as nanobacteria, are ubiquitously present in both natural minerals and biological systems. However, their properties remain incompletely elucidated, particularly concerning whether they represent the smallest self-replicating entities on Earth, a topic that remains highly debated. Current research has demonstrated that CNPs can be isolated from various pathological calcification conditions, including kidney stones, vascular calcification, biliary stones, and calculus oral disease. These particles have the potential to infect any tissue or cell type within the human body, forming a mineralized layer around them, which leads to pathological calcification of tissues. It is suggested that CNPs may play a significant role in these diseases by damaging cells, promoting osteogenic differentiation, and influencing metabolic processes, thereby initiating the formation of calcification cores in local tissues. Under the influence of inflammatory responses, these cores can expand further, ultimately leading to the development of calcification diseases. Therefore, the aim of the present review was to explore the roles and pathogenic mechanisms of CNPs in various pathological calcification diseases, providing new insights for in-depth research into their properties and pathogenic mechanisms, as well as identifying potential therapeutic targets for calcification diseases.

Indexed as

calcified diseasescalcified nanoparticles

Identifiers

PMID40322555
PMCPMC12046282

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.