Evidence map›Paper›PMID 42847057›Full record

ReviewInternational journal of nanomedicine2026

Dimensionally Engineered Nanotherapeutics for Pulpitis and Periodontitis: From Structural Design to Artificial Intelligence-Enabled Precision Therapy.

Fuzhong Zhang, Wenyue Zhang, Ting Lu, Yao Meng, Meihui Su, Qixiong Zhang, Houkui Shi

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2026. 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
–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

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

7 authors.

Fuzhong ZhangKey Laboratory of Oral Disease Research of the Education Department of Guizhou Province, School and Hospital of Stomatology, Zunyi Medical University, Zunyi, People's Republic of China.ORCID 0000-0002-7963-3075
Wenyue ZhangKey Laboratory of Oral Disease Research of the Education Department of Guizhou Province, School and Hospital of Stomatology, Zunyi Medical University, Zunyi, People's Republic of China.
Ting LuKey Laboratory of Oral Disease Research of the Education Department of Guizhou Province, School and Hospital of Stomatology, Zunyi Medical University, Zunyi, People's Republic of China.
Yao MengKey Laboratory of Oral Disease Research of the Education Department of Guizhou Province, School and Hospital of Stomatology, Zunyi Medical University, Zunyi, People's Republic of China.
Meihui SuKey Laboratory of Oral Disease Research of the Education Department of Guizhou Province, School and Hospital of Stomatology, Zunyi Medical University, Zunyi, People's Republic of China.
Qixiong ZhangDepartment of Pharmacy, Personalized Drug Research and Therapy Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, People's Republic of China.ORCID 0000-0003-0330-1389
Houkui ShiDepartment of Innovation Research, Chengdu Institute of Chinese Herbal Medicine, Chengdu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulpitis (Pul) and periodontitis (PD) are oral infectious diseases with extremely high global prevalence. These pathologies can induce severe pain, significantly elevate the risk of tooth mobility and eventual tooth loss, and have been confirmed to be closely correlated with multiple chronic systemic disorders including diabetes mellitus and cardiovascular diseases. Conventional clinical interventions for these diseases are frequently characterized by incomplete debridement and inefficient drug delivery. Additionally, the growing threat of antimicrobial resistance presents an ongoing challenge for traditional treatments, leading to overall unsatisfactory therapeutic outcomes. Nanomaterials offer an innovative approach to overcoming the aforementioned limitations of conventional treatments, owing to their distinctive physicochemical properties, intrinsic antibacterial, anti-inflammatory and antioxidant activities, as well as their ability to facilitate bone and cementum regeneration. However, the development of nanotherapeutics for Pul and PD currently remains inefficient. Most existing nanomaterial systems exhibit poor adaptability to the complex oral microenvironment, and are unable to achieve closed-loop dynamic regulation during the entire therapeutic process. The rapid development of artificial intelligence (AI) has brought unprecedented new opportunities to resolve these bottlenecks. By enabling an intelligent "sense-analyze-respond" feedback loop, AI can optimize the key performance parameters of nanomaterials and facilitate dynamic adjustment of clinical therapeutic regimens. This review firstly sorts out the pathogenesis of Pul and PD, as well as the corresponding targeted intervention strategies enabled by nanomaterials. Subsequently, the existing nanomaterial systems are categorized based on their dimensional classification (0D to 3D), and their therapeutic applications and current limitations in the treatment of both diseases are analyzed. Finally, this paper discusses the research prospects of AI-enabled nanomaterials in structural design and in the management of Pul and PD. This review aims to provide theoretical reference for the development of more precise and effective therapeutic strategies for these two prevalent oral diseases.

Indexed as

Artificial IntelligenceNanostructuresPeriodontitisPrecision MedicinePulpitisAnimalsDrug Delivery SystemsHumansNanomedicineartificial intelligencenanomaterialsoral infectionperiodontitispulpitis

Identifiers

PMID42847057
PMCPMC13644827

What OpenQuestion holds

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Registered trials

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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.