Evidence map›Paper›PMID 42530767›Full record

ArticleNano convergence2026

Clinical OCT computation-modeled prognosis of coronary plaque progression with validation by fusogenic macrophage nano-targeting.

Sewoom Baek, Hyun-Su Ha, Seyong Chung, Ji Youn Lee, Hyeongyun Choi, Chansik Kim, Seok Joon Lee, Seul-Gee Lee, Yong-Joon Lee, Jung-Sun Kim and 1 more

Abstract read
In one paragraph

Article in Nano convergence, 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

11 authors.

Sewoom Baek *Department of Biomedical Engineering, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Hyun-Su Ha *Division of Cardiology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Seyong Chung *Division of Cardiology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Ji Youn LeeDepartment of Biomedical Engineering, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Hyeongyun ChoiDepartment of Biomedical Engineering, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Chansik KimDepartment of Biomedical Engineering, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Seok Joon LeeDepartment of Biomedical Engineering, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Seul-Gee LeeDivision of Cardiology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Yong-Joon LeeDivision of Cardiology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Jung-Sun KimDivision of Cardiology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea. kjs1218@yuhs.ac.
Hak-Joon SungDepartment of Biomedical Engineering, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea. hj72sung@yuhs.ac.ORCID http://orcid.org/0000-0003-2312-2484

Funding

Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea RS-2024-00404418Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea RS-2025-02233107Korean Fund for Regenerative Medicine (KFRM) grant funded by the Korea government (the Ministry of Science and ICT, the Ministry of Health & Welfare) RS-2026-25501260National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) RS-2025-00556118National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) RS-2025-23523761
6 · The paper itself

Abstract

Coronary plaque progression often deviates from the diagnostic range of clinical examinations, resulting in the need for emergent follow-ups and increased mortality among outlier patients. This study first analyzes clinical data of fractional flow reserve, optical coherence tomography (OCT), and computed tomography from 180 patients over a 9 years period, with an average follow-up of 2 years. When the plaque progression and healthy control groups were compared in a 1:1 match (n = 10 each), analysis of single artery images failed to detect plaque progression. Therefore, 100-200 image frames were used to reconstruct patient-specific coronary anatomy using computational fluid dynamics, enabling prognostic assessment of plaque progression. The results suggest that steep plaque slopes promote plaque progression by increasing shear stress and hemodynamic disturbance accompanied by greater macrophage recruitment than gentle slopes, which was validated by a microfluidic model. Moreover, increased activation and fusogenic potential of macrophages in steep plagues justified the development of fusogenic macrophage (FM)-vesicles to detect plaque progression. The fusion potential enables FM-vesicles to self-target fusogenic macrophages more efficiently than in vitro compared to macrophages, showing superiority over liposomes and macrophage-vesicles. The membrane fusion mechanism facilitates lysosomal escape, allowing prolonged cytosolic retention without degradation. Rabbit carotid ligation was used to produce steep and gentle plaques by controlling the incision direction. When gold nanoparticles were loaded into FM-vesicles and injected into these arteries ex vivo, OCT accurately imaged the plaque slope and detected changes in signal intensity. This study presents the translational potential of FM-vesicles for clinical application by reducing diagnostic outliers in the detection of plaque progression.

Indexed as

Computational fluid dynamicsCoronary plaque progressionEx vivo OCT imagingFusogenic macrophage derived nanovesicleOptical coherence tomographyPlaque-on-a-chip

Identifiers

PMID42530767
PMCPMC13424019

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.