Evidence map›Paper›PMID 42357284›Full record

ReviewPharmaceutics2026

Exosomes as Disease-Informed Nanoplatforms for Pulmonary Fibrosis: From Pathogenic Signaling to Precision Diagnosis and Therapy.

Jeong Min Lee, Kyung Tae Kim, Chung-Sung Lee, Hee Sook Hwang

Abstract readReview
In one paragraph

Review in Pharmaceutics, 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

4 authors.

Jeong Min LeeDepartment of Pharmaceutical Engineering, Dankook University, Cheonan 31116, Republic of Korea.
Kyung Tae KimDepartment of Pharmaceutical Engineering, Dankook University, Cheonan 31116, Republic of Korea.
Chung-Sung LeeDepartment of Pharmaceutical Engineering, Soonchunhyang University, Asan 31538, Republic of Korea.
Hee Sook HwangDepartment of Pharmaceutical Engineering, Dankook University, Cheonan 31116, Republic of Korea.ORCID 0009-0000-0572-5586

Funding

Ministry of Education RS-2025-25441283Ministry of Science and ICT RS-2024-00334037Soonchunhyang University NA
6 · The paper itself

Abstract

Pulmonary fibrosis (PF) is a progressive and often fatal interstitial lung disease for which the currently available pharmacological therapies remain largely limited to slowing disease progression rather than reversing established fibrosis. This limitation has stimulated increasing interest in innovative therapeutic platforms capable of modulating complex fibrotic pathways. In this context, exosomes-nanoscale extracellular vesicles-have emerged as promising cell-free nanocarriers due to their intrinsic biocompatibility, low immunogenicity, and ability to be engineered for targeted drug delivery. In this review, we provide a comprehensive overview of both natural and engineered exosome-based strategies for the diagnosis and treatment of pulmonary fibrosis. We summarize recent advances in exosome engineering, including ligand functionalization, glycoengineering, and therapeutic cargo loading, highlighting how these approaches may support the development of more targeted and potentially personalized nanotherapeutic strategies. We further discuss emerging hybrid delivery platforms, such as exosome-liposome chimeras and hydrogel-based depots, which may enhance pulmonary retention, improve therapeutic durability, and enable controlled drug release. Finally, we outline key challenges and opportunities for clinical translation, including large-scale manufacturing, regulatory considerations, and clinically relevant delivery routes such as inhalation-based administration. Collectively, this review provides a translational perspective on engineered exosomes as emerging nanotherapeutic platforms for pulmonary fibrosis.

Indexed as

drug deliveryexosomesnanotherapeuticsprecision medicinepulmonary fibrosis

Identifiers

PMID42357284
PMCPMC13305416

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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.