Evidence map›Paper›PMID 42277017›Full record

ReviewNPJ Regenerative medicine2026

Stem cell-derived extracellular vesicles and artificial nanovesicles: a translational framework for cell-free wound repair.

Ramya Lakshmi Rajendran, Akanksha Onkar, Rijula Batabyal, Saurabh Kumar Jha, Atharva A Mahajan, Madhurima Koley, Shouryarudra Banerjee, Arjun P, Mridul Saha, Subhrojyoti Ghosh and 7 more

Abstract readReview
In one paragraph

Review in NPJ Regenerative medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

17 authors.

Ramya Lakshmi Rajendran *BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, Department of Biomedical Sciences, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Akanksha Onkar *Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA.
Rijula Batabyal *Department of Biotechnology, Heritage Institute of Technology, Kolkata, India.
Saurabh Kumar JhaDepartment of Zoology, Kalindi College, University of Delhi, East Patel Nagar, India.
Atharva A MahajanDepartment of Biotechnology, University of Mysore, Mysore, India.
Madhurima KoleyDepartment of Bioscience and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, India.
Shouryarudra BanerjeeDepartment of Urology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Arjun PDepartment of Biosciences and Bioengineering, Indian Institute of Technology, Guwahati, India.
Mridul SahaDepartment of Biotechnology, Adamas University, Kolkata, India.
Subhrojyoti GhoshBioassay, Functional Analytics Department, CuraTeQ Biologics Pvt. Ltd., Hyderabad, India.
Anuvab DeyDepartment of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, North Guwahati, India.
Kandasamy Nagarajan ArulJothiDepartment of Genetic Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Chengalpattu, India.
Eun Jung OhDepartment of Plastic and Reconstructive Surgery, CMRI, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea.
Kang Young ChoiDepartment of Plastic and Reconstructive Surgery, CMRI, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea.
Prakash GangadaranDepartment of Nuclear Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea. prakashg@knu.ac.kr.
Ho Yun ChungDepartment of Plastic and Reconstructive Surgery, CMRI, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea. hy-chung@knu.ac.kr.
Byeong-Cheol AhnDepartment of Nuclear Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea. abc2000@knu.ac.kr.

Funding

National Research Foundation of Korea 2023R1A2C2004906National Research Foundation of Korea NRF-2022R1I1A1A01068652National Research Foundation of Korea NRF-2022R1I1A3069687
6 · The paper itself

Abstract

Chronic nonhealing wounds remain a major clinical challenge, driven by persistent inflammation, impaired angiogenesis, defective extracellular matrix remodeling, and incomplete functional restoration. While stem cell therapies can modulate these processes, their clinical use is limited by low engraftment, variability, and safety concerns. Stem cell-derived extracellular vesicles (SC-EVs) and artificial nanovesicles (SC-ANVs) have emerged as cell-free alternatives that aim to capture key paracrine functions of stem cells. In this review, we evaluate these vesicle-based approaches within a problem-oriented framework linking molecular and cellular effects to clinically meaningful outcomes. SC-EVs and SC-ANVs influence inflammation, angiogenesis, and tissue regeneration in preclinical wound models; however, current evidence is largely limited to improvements in wound closure and histological parameters. We highlight that proof of concept for clinically relevant endpoints, such as durable function, reduced scarring, and recurrence prevention, remains insufficient. Key translational challenges, including delivery, dosing, and endpoint selection, are discussed, along with a framework for future studies required to establish therapeutic efficacy. Collectively, SC-EVs and SC-ANVs represent emerging platforms whose clinical potential depends on rigorous validation against defined clinical benchmarks.

Identifiers

PMID42277017
PMCPMC13601507

What Socratic holds

Textmetadata
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.