ArticleNature communications2026
Amplifying metabolic profiling of extracellular vesicle dynamics with ACTIVITY.
Ru-Jia Yu, Wei-Yi Ma, Han-Yang Xiao, Ya-Wei Zhang, Wen-Bin Gong, Zhen-Fei Yu, Kai-Liang Wei, Kuo-Ran Xing, Xu Wang, Hou-Juan Zhu and 2 more
Abstract read
In one paragraphArticle in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0citing papers in PubMed
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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 registryThe trial behind it
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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 literatureWho cites it
0 citing papers in PubMed.
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4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Ru-Jia YuState Key Laboratory of Flexible Electronics (LoFE) and Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, China.
Wei-Yi MaState Key Laboratory of Flexible Electronics (LoFE) and Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, China.
Han-Yang XiaoState Key Laboratory of Flexible Electronics (LoFE) and Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, China.
Ya-Wei ZhangState Key Laboratory of Flexible Electronics (LoFE) and Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, China.
Zhen-Fei YuState Key Laboratory of Flexible Electronics (LoFE) and Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, China.
Kai-Liang WeiState Key Laboratory of Flexible Electronics (LoFE) and Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, China.
Xu WangThe First Affiliated Hospital of Soochow University, Department of Central Intensive Care Unit of Anesthesiology, Suzhou, China.
Lian-Hui WangState Key Laboratory of Flexible Electronics (LoFE) and Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, China.ORCID http://orcid.org/0000-0001-9030-9172 Xian-Guang DingState Key Laboratory of Flexible Electronics (LoFE) and Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, Nanjing, China. iamxgding@njupt.edu.cn.ORCID http://orcid.org/0009-0000-7310-7982 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Extracellular vesicles (EVs) are emerging as promising circulating biomarkers for liquid biopsy due to their abundant molecular information, such as proteins, nucleic acids, and metabolites. However, the metabolic profiling of EVs remains largely unexplored, much less exploiting their intrinsic metabolic features for disease diagnosis. In this study, we demonstrate that the metabolic-related inducible nitric oxide synthase (iNOS) activity of macrophage-derived EVs serves as an effective biomarker for phenotypic profiling and further evaluating lung inflammation. By integrating a cascade amplification strategy that combines the biocatalysis of EV iNOS activity with the electrocatalysis of defective tungsten disulfide quantum dots (WS
Indexed as
Extracellular VesiclesMetabolomeMetabolomicsPneumoniaAnimalsBiomarkersBronchoalveolar Lavage FluidHumansMacrophagesMiceNitric Oxide Synthase Type IIQuantum DotsBiomarkersNitric Oxide Synthase Type II
Identifiers
PMID41888169
PMCPMC13187049
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