Evidence map›Paper›PMID 42187435›Full record

ReviewBiosensors2026

Omics-Guided Insights into Nanoparticle Complexity and Neural Regeneration.

Yujung Chang, Sungwoo Lee, Garam Yang, Seung Seon Yang, Min Park, Jessica Kim, Yoon Ha, Sungho Park, Junsang Yoo

Abstract readReview
In one paragraph

Review in Biosensors, 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

9 authors.

Yujung ChangLaboratory of Regenerative Medicine for Neurodegenerative Disease, Stand Up Therapeutics Inc., Hannamdaero 98, Seoul 04418, Republic of Korea.ORCID 0000-0002-8371-8784
Sungwoo LeeDepartment of Chemistry, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0000-0002-5411-0366
Garam YangLaboratory of Regenerative Medicine for Neurodegenerative Disease, Stand Up Therapeutics Inc., Hannamdaero 98, Seoul 04418, Republic of Korea.
Seung Seon YangLaboratory of Regenerative Medicine for Neurodegenerative Disease, Stand Up Therapeutics Inc., Hannamdaero 98, Seoul 04418, Republic of Korea.
Min ParkDepartment of Chemical Engineering and Biochemistry, Northeastern University, Boston, MA 02115, USA.
Jessica KimLaboratory of Regenerative Medicine for Neurodegenerative Disease, Stand Up Therapeutics Inc., Hannamdaero 98, Seoul 04418, Republic of Korea.
Yoon HaSpine & Spinal Cord Center, Department of Neurosurgery, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea.
Sungho ParkDepartment of Chemistry, Yonsei University, Seoul 03722, Republic of Korea.
Junsang YooLaboratory of Regenerative Medicine for Neurodegenerative Disease, Stand Up Therapeutics Inc., Hannamdaero 98, Seoul 04418, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structurally complex plasmonic nanoarchitectures represent an emerging class of nanomaterials with properties that extend beyond those of conventional spherical nanoparticles. Their distinctive structural motifs generate dense near field electromagnetic hot spots, expand interfacial surface area, and create biophysical environments at the nano-bio interface that can actively engage cellular signaling networks relevant to neural regeneration and aging. Despite growing interest in these platforms, a systematic, omics-guided synthesis that links nanoparticle structural features to transcriptomic programs and regenerative outcomes has been lacking. In this review, we summarize recent advances in high complexity plasmonic nanoparticle engineering and integrate published omics-based evidence of their cellular effects, organizing the discussion. Across these studies, transcriptomic analyses of nanoparticle treated neural systems consistently highlight three convergent biological themes: mitigation of oxidative stress and activation of antioxidant pathways, suppression of neuroinflammatory signaling, and induction of neuronal developmental and plasticity programs. Collectively, the omics-guided findings synthesized here suggest that structural complexity in plasmonic nanoarchitectures is not merely a synthetic achievement but a tunable determinant of cellular state, with important implications for the rational design of regenerative nanomedicines targeting neurodegenerative diseases and age-related neuronal decline.

Indexed as

NanoparticlesNerve RegenerationAnimalsHumansNanomedicineOxidative Stresscellular agingnanoparticle complexityneuronal regenerationomics-guided engineeringplasmonic nanoparticles

Identifiers

PMID42187435
PMCPMC13204803

What OpenQuestion holds

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LicenceCC BY
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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.