Evidence map›Paper›PMID 38995228›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Biodegradable Ruthenium-Rhenium Complexes Containing Nanoamplifiers: Triggering ROS-Induced CO Release for Synergistic Cancer Treatment.

Aijie Liu, Zhenkun Huang, Xiangfu Du, Naresh Duvva, Yuting Du, Zihao Teng, Zhihuan Liao, Chen Liu, Haining Tian, Shuaidong Huo

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. 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. Article
  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

10 authors.

Aijie LiuState Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, 361102, China.ORCID 0000-0002-0300-1872
Zhenkun HuangState Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, 361102, China.
Xiangfu DuState Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, 361102, China.
Naresh DuvvaDepartment of Chemistry-Ångström Laboratory, Box 523 Uppsala University, Uppsala, SE-75120, Sweden.
Yuting DuState Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, 361102, China.
Zihao TengState Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, 361102, China.
Zhihuan LiaoState Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, 361102, China.
Chen LiuState Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, 361102, China.
Haining TianDepartment of Chemistry-Ångström Laboratory, Box 523 Uppsala University, Uppsala, SE-75120, Sweden.ORCID 0000-0001-6897-2808
Shuaidong HuoState Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, 361102, China.ORCID 0000-0003-3590-044X

Funding

National Key R&D Program of China 2023YFC2415700National Natural Science Foundation of China 22302164Natural Science Foundation of Fujian Province 2023J05014Natural Science Foundation of Fujian Province 2023J06006Natural Science Foundation of Xiamen, China 3502Z20227004Olle Engkvists Stiftelse 200-0523Science, Technology and Innovation Commission of Shenzhen Municipality JCYJ20230807091311023
6 · The paper itself

Abstract

The constrained effectiveness of photodynamic therapy (PDT) has impeded its widespread use in clinical practice. Urgent efforts are needed to address the shortcomings faced in photodynamic therapy, such as photosensitizer toxicity, short half-life, and limited action range of reactive oxygen species (ROS). In this study, a biodegradable copolymer nanoamplifier is reported that contains ruthenium complex (Ru-complex) as photosensitizer (PS) and rhenium complex (Re-complex) as carbon monoxide (CO)-release molecule (CORM). The well-designed nanoamplifier brings PS and CORM into close spatial proximity, significantly promotes the utilization of light-stimulated reactive oxygen species (ROS), and cascaded amplifying CO release, thus enabling an enhanced synergistic effect of PDT and gas therapy for cancer treatment. Moreover, owing to its intrinsic photodegradable nature, the nanoamplifier exhibits good tumor accumulation and penetration ability, and excellent biocompatibility in vivo. These findings suggest that the biodegradable cascaded nanoamplifiers pave the way for a synergistic and clinically viable integration of photodynamic and gas therapy.

Indexed as

Carbon MonoxidePhotochemotherapyPhotosensitizing AgentsReactive Oxygen SpeciesRheniumRutheniumAnimalsCell Line, TumorDisease Models, AnimalHumansMiceNeoplasmsCarbon MonoxidePhotosensitizing AgentsReactive Oxygen SpeciesRheniumRutheniumcascaded nanoamplifiergas therapyphotodynamic therapyROS‐induced CO releaseruthenium‐rhenium complexes copolymer

Identifiers

PMID38995228
PMCPMC11425273

What OpenQuestion holds

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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.