Evidence map›Paper›PMID 41399350›Full record

ReviewMaterials today. Bio2025

Metabolism-based artificial organelles: From precise construction to smart theranostics.

Keqiang Deng, Yihang Zhang, Wenyu Jiang, Yuxin Duan, Mei Gao, Min Zeng, Jiehao Chen, Xiaoting Chen, Zhen Fan, Chengli Yang and 1 more

Abstract readReview
In one paragraph

Review in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Keqiang DengWest China School of Medicine, Sichuan University, 610040, Chengdu, PR China.
Yihang ZhangWest China School of Medicine, Sichuan University, 610040, Chengdu, PR China.
Wenyu JiangWest China School of Medicine, Sichuan University, 610040, Chengdu, PR China.
Yuxin DuanWest China School of Medicine, Sichuan University, 610040, Chengdu, PR China.
Mei GaoWest China School of Medicine, Sichuan University, 610040, Chengdu, PR China.
Min ZengWest China School of Medicine, Sichuan University, 610040, Chengdu, PR China.
Jiehao ChenAnimal Experiment Center, West China Hospital/West China School of Medicine, Sichuan University, 610040, Chengdu, PR China.
Xiaoting ChenAnimal Experiment Center, West China Hospital/West China School of Medicine, Sichuan University, 610040, Chengdu, PR China.
Zhen FanDepartment of Geriatrics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, PR China.
Chengli YangDepartment of Pharmacy, Clinical Research Center of Integrated Traditional Chinese and Western Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, PR China.
Kai ZhouSports Medicine Center, West China Hospital, Sichuan University, China/Department of Orthopedics and Orthopedic Research Institute, Chengdu, 610041, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular metabolic dysregulation is a core driver of major diseases, including cancer, neurodegenerative disorders, and cardiovascular conditions. However, conventional interventions such as small-molecule drugs and gene editing are hampered by off-target effects, delivery challenges, and a lack of spatiotemporal precision, resulting in a failure to effectively reengineer pathological metabolic networks. Artificial organelles, constructed via a "bottom-up" bioinspired approach, represent a paradigm shift from systemic intervention to "metabolic system reconstruction," offering a revolutionary strategy to precisely mimic, repair, or augment specific metabolic functions at the subcellular level. Here, we systematically review recent advances in metabolism-based artificial organelles, from their precise construction to smart theranostic applications. We first elaborate on the core construction strategies, including lipid and protein self-assembly, microfluidics, 3D bioprinting and biomembrane fusion for enabling dynamic interactions and content delivery, followed by a dissection of the design principles for modulating three metabolic pillars: (1) remodeling energy metabolism by mimicking mitochondrial function and regulating glycolysis; (2) controlling biosynthesis by emulating the endoplasmic reticulum (ER) and substance transport networks; and (3) reshaping redox homeostasis by mimicking peroxisomes through multienzyme cascades and intelligent responsive systems that precisely regulate signaling molecules such as reactive oxygen species (ROS). We link these functional designs to specific metabolic vulnerabilities in diseases and showcase applications in neurodegenerative disorders, cancer, cardiovascular diseases, and inflammatory conditions. Specific strategies include repairing damaged neurons through synergistic energy supplementation and antioxidation or inhibiting tumors via a combination of "starvation therapy" and pro-oxidative "gas therapy." Finally, we critically address the key challenges in biocompatibility, systemic complexity,

Indexed as

Artificial organellesBottom-up constructionMetabolic engineeringPrecision theranosticsSubcellular targeting

Identifiers

PMID41399350
PMCPMC12702397

What OpenQuestion holds

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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 OpenQuestion graph.