Evidence mapPaperPMID 40124344Full record

ReviewMaterials today. Bio2025

Treatment of lung diseases

Meekha George, Rabah Boukherroub, Amitav Sanyal, Sabine Szunerits

Abstract readReview
In one paragraph

Review in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. 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

4 authors.

Meekha GeorgeLaboratory for Life Sciences and Technology (LiST), Faculty of Medicine and Dentistry, Danube Private University (DPU), Viktor-Kaplan-Straße 2, Geb. E, 2700, Wiener Neustadt, Austria.
Rabah BoukherroubUniv. Lille, CNRS, Univ. Polytechnique, Hauts-de-France, UMR 8520 - IEMN, F-59000, Lille, France.
Amitav SanyalDepartment of Chemistry, Bogazici University, Bebek, 34342, Istanbul, Turkey.
Sabine SzuneritsLaboratory for Life Sciences and Technology (LiST), Faculty of Medicine and Dentistry, Danube Private University (DPU), Viktor-Kaplan-Straße 2, Geb. E, 2700, Wiener Neustadt, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Challenges: Respiratory diseases remain challenging to treat, with current efforts primarily focused on managing symptoms rather than maintaining overall lung health. Traditional treatment methods, such as oral or parenteral administration of antiviral, antibacterial, and anti-inflammatory drugs, face limitations. These include difficulty in delivering therapeutic agents to pathogens residing deep in the airways and the risk of severe side effects due to high systemic drug concentrations. The growing threat of drug-resistant pathogens further complicates infection management. Advancements: The lung's large surface area offers an attractive target for inhalation-based drug delivery. Nanoparticles (NP) enable uniform and sustained drug distribution across the alveolar network, overcoming challenges posed by complex lung anatomy. Recent breakthroughs in nanorobots (NR) have demonstrated precise navigation through biological environments, delivering therapies directly to affected lung areas with enhanced accuracy. Nanotechnology has also shown promise in treating lung cancer, with nanoparticles engineered to overcome biological barriers, improve drug solubility, and enable controlled drug release. Future scope: This review explores the progress of NP and NR in addressing challenges in pulmonary drug delivery. These innovations allow targeted delivery of nucleic acids, drugs, or peptides to the pulmonary epithelium with unprecedented accuracy, offering significant potential for improving therapeutic effectiveness in respiratory disorders.

Indexed as

Biohybrid nanorobotsDrug deliveryLung diseasesNanomedicineNanoparticles

Identifiers

PMID40124344
PMCPMC11930446

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.