Evidence map›Paper›PMID 40496140›Full record

ArticleFrontiers in cell and developmental biology2025

Mesenchymal stem cell-derived exosome subpopulations remained consistent for 28 culture days, displaying therapeutic effects in a silicosis mouse model.

Lina Zhang, Jing Jin, Liguang Sun, Gang Hou, Mingming Deng, Yiding Bian, Jianming Liu, Wei Cheng, Shaoliang Xing, Wenjia Wang and 6 more

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 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. Article
  2. Review
  3. Review
  4. Review
  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

16 authors.

Lina ZhangSchool of Life Sciences, Northeast Normal University, Changchun, Jilin, China.
Jing JinNational-Local Joint Engineering Laboratory of Animal Models for Human Disease, The First Hospital of Jilin University, Changchun, Jilin, China.
Liguang SunNational-Local Joint Engineering Laboratory of Animal Models for Human Disease, The First Hospital of Jilin University, Changchun, Jilin, China.
Gang HouDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Mingming DengDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Yiding BianDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
Jianming LiuDepartment of Otolaryngology Head and Neck Surgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin, China.
Wei ChengResearch and Development Department (R&D), Beijing Jizhongke Biotechnology Co., LTD., Beijing, China.
Shaoliang XingNational-Local Joint Engineering Laboratory of Animal Models for Human Disease, The First Hospital of Jilin University, Changchun, Jilin, China.
Wenjia WangResearch and Development Department (R&D), Jilin Zhong Ke Bio-engineering Co., LTD., Changchun, Jilin, China.
Xin DongResearch and Development Department (R&D), Jilin Zhong Ke Bio-engineering Co., LTD., Changchun, Jilin, China.
Qingjie FanResearch and Development Department (R&D), Beijing Jizhongke Biotechnology Co., LTD., Beijing, China.
Lei GaoResearch and Development Department (R&D), Beijing Jizhongke Biotechnology Co., LTD., Beijing, China.
Xinhua LeiNational-Local Joint Engineering Laboratory of Animal Models for Human Disease, The First Hospital of Jilin University, Changchun, Jilin, China.
Yongli BaoSchool of Life Sciences, Northeast Normal University, Changchun, Jilin, China.
Yongguang YangNational-Local Joint Engineering Laboratory of Animal Models for Human Disease, The First Hospital of Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The clinical translation of mesenchymal stem cell-derived exosome faces critical challenges in scalable production, subpopulation stability, and therapeutic route optimization. This study systematically addresses these barriers to advance exosome-based therapies. Methods: We established a 28-day biomanufacturing workflow using a Hollow Fiber 3D bioreactor integrated with the RoosterBio exosome-harvesting system. Exosomes were subsequently purified and rigorously characterized at multiple production stages, followed by isotopically labeled with Results: Our findings indicate that (1) the RoosterBio exosome harvesting system in the Hollow Fiber 3D bioreactor enables 28 days production of exosomes, with stable harvesting of the main subpopulations over a certain period; (2) systemic administration via intravenous injection in rats reveals distinct tissue tropism, with isotope-labeled exosomes exhibiting predominant hepatic accumulation; and (3) in the silica-induced mouse silicosis model, respiratory delivery of exosomes significantly improves disease progression, whereas intravenous infusion of exosomes does not yield notable therapeutic effects. Discussion: This study proposes a holistic workflow for early-stage development of natural exosomes as therapeutics, offering guidance on industrial-scale production, purification, and characterization of exosomes with stable subpopulation distribution and functional consistency. It further addresses administration route selection in pulmonary disease animal models and heterogeneity assessment of natural exosomes. These advancements facilitate clinical translation of exosome-based therapies.

Indexed as

biomanufacturing workflowexosome subpopulation heterogeneitymesenchymal stem cells exosomesnatural exosome therapyscalable production

Identifiers

PMID40496140
PMCPMC12149758

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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.