Evidence map›Paper›PMID 42376247›Full record

ArticleMaterials today. Bio2026

Microfluidic-based biomimetic mitochondrial nanocomposite for targeted immunotherapy of rheumatoid arthritis via mitochondrial transplantation.

Nengjie Yang, Chen Dong, Rui Zhao, Mei Yang, Shiwen Ni, Yi Jin, Qingshui Wen, Cong Xu, Zhifeng Gu, Yujuan Zhu and 1 more

Abstract read
In one paragraph

Article in Materials today. Bio, 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.

Nengjie YangDepartment of Rheumatology, Research Center of Clinical Medicine, Research Center of Immunology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
Chen DongDepartment of Rheumatology, Research Center of Clinical Medicine, Research Center of Immunology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
Rui ZhaoDepartment of Rheumatology, Research Center of Clinical Medicine, Research Center of Immunology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
Mei YangDepartment of Rheumatology, Research Center of Clinical Medicine, Research Center of Immunology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
Shiwen NiDepartment of Rheumatology, Research Center of Clinical Medicine, Research Center of Immunology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
Yi JinDepartment of Rheumatology, Research Center of Clinical Medicine, Research Center of Immunology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
Qingshui WenDepartment of Rheumatology, Research Center of Clinical Medicine, Research Center of Immunology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
Cong XuDepartment of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.
Zhifeng GuDepartment of Rheumatology, Research Center of Clinical Medicine, Research Center of Immunology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
Yujuan ZhuDepartment of Rheumatology, Research Center of Clinical Medicine, Research Center of Immunology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
Chi SunDepartment of Geriatrics, Research Center of Clinical Medicine, Research Center of Immunology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a common chronic autoimmune disease and has recently been reported to be closely related to mitochondrial dysfunction. Mitochondrial dysfunction can promote the occurrence and development of rheumatoid arthritis (RA) through increased cellular ROS production, activation of immune cells and production of autoantibodies. Although the mechanism of mitochondrial dysfunction remains uncertain, it offers potential therapeutic strategies for rheumatoid arthritis. Mitochondrial transplantation is an emerging treatment method, aiming to restore the normal function of tissues by replacing abnormal mitochondria in tissues or cells. Here, we propose a novel biomimetic mitochondrial nanocomposite (Mito@G3K) based on microfluidic chips, which can be used for intravenous RA targeted immunotherapy. Based on microfluidic chips, Mito@G3K were efficiently generated by taking advantage of the charge capture effect between mitochondria and cationic peptide dendritic macromolecules. Due to the naturally derived peptide components, the synthetic Mito@G3K have very high biological activity. Even more attractive is that by customizing Mito@G3K with a higher surface charge density, they can achieve rapid targeting ability, high accumulation volume and long-lasting effect in inflamed joints. In vitro experiments have shown that it can effectively inhibit the inflammation caused by pro-inflammatory macrophages. In addition, Mito@G3K have shown good therapeutic effects in the CIA mouse model and can effectively alleviate inflammation in the joint area. Mouse synovial transcriptome sequencing shows that the therapeutic effect may be achieved by improving mitochondrial metabolism.

Indexed as

Biomimetic mitochondrial nanocompositeDendritic polylysineMicrofluidic chipMitochondrial transplantationRheumatoid arthritis

Identifiers

PMID42376247
PMCPMC13312487

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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.