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Steric hindrance-mediated extracellular vesicle size fractionation for rapid prehospital diagnosis of intracerebral hemorrhage
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  • Published: 09 April 2026

Steric hindrance-mediated extracellular vesicle size fractionation for rapid prehospital diagnosis of intracerebral hemorrhage

  • Xingjie Wu  ORCID: orcid.org/0000-0002-8768-56331 na1,
  • Shasha Xiong1 na1,
  • Litao Zhang2 na1,
  • Yueyue Zhao1,
  • Zhilu Sun3,
  • Likun Wang3,
  • Weifeng Long1,
  • Qianqian Guo1,
  • Yu-E Wang1,
  • Ying Chen1,
  • Ling Tao1,
  • Wei Li4,
  • Xiangchun Shen  ORCID: orcid.org/0000-0002-4333-91061,
  • Guofeng Wu  ORCID: orcid.org/0009-0003-6772-55673 &
  • …
  • Haitao Zhao  ORCID: orcid.org/0000-0003-4462-03942 

Nature Communications , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biosensors
  • Diagnostic markers
  • Nanobiotechnology

Abstract

Diagnosing intracerebral hemorrhage (ICH) in prehospital settings remains challenging due to unavailability of immediate neuroimaging, clinical overlap with ischemic stroke, and absence of validated circulating biomarkers for time-critical settings. Extracellular vesicles (EVs), subcellular structures capable of transporting biomolecular payloads (e.g., proteins, nucleic acids) across the blood-brain barrier, have emerged as compelling diagnostic candidates for ICH. Nevertheless, their clinical translation has been impeded by inherent biophysical heterogeneity, particularly polydisperse size distributions. To address this limitation, we engineer a steric hindrance-mediated EV analysis and size fractionation (SHEAF) platform, integrating steric hindrance-based size fractionation with membrane protein profiling to stratify EVs into three size subtypes within a 45-min workflow. Systematic evaluation using the SHEAF platform reveals that the 90 − 180 nm EV subtype exhibits superior discriminative capacity in differentiating ICH from ischemic stroke plasma specimens. This technology not only advances rapid prehospital ICH diagnostics but also establishes a method for elucidating size-dependent EV functionalities across neurological pathologies.

Data availability

The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (https://proteomecentral.proteomexchange.org) via the iProX partner repository with the dataset identifier PXD075777. The main data supporting the results in this study are available within the paper and its Supplementary Information. Source data are provided with this paper for Figs. 2 - 5 and Supplementary Figs. 1, 5 − 7, 9 − 14, and 18. Source data are provided with this paper.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China: Grant No. 22064007 (X.W.), 52375577 (H.Z.), 82560244 (G.W.), and 82260244 (G.W.). X.W. acknowledges support from the Guizhou Provincial Natural Science Foundation (Grant No. ZK[2021]482). G.W. acknowledges support from the Leading Discipline Program of The Affiliated Hospital of Guizhou Medical University (Grant No. gyfyxkrc-2023-05), the Key Lab of Acute Brain Injury and Function Repair in Guizhou Medical University (Grant No. [2024]fy007), and the Key Advantageous Discipline Construction Project of Guizhou Provincial Health Commission in 2023 in Emergency Department.

Author information

Author notes
  1. These authors contributed equally: Xingjie Wu, Shasha Xiong, Litao Zhang.

Authors and Affiliations

  1. State Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, School of Pharmaceutical Sciences, Guizhou Medical University, No.6 Ankang Avenue, Guiyang City and Guian New District, Guiyang, China

    Xingjie Wu, Shasha Xiong, Yueyue Zhao, Weifeng Long, Qianqian Guo, Yu-E Wang, Ying Chen, Ling Tao & Xiangchun Shen

  2. Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, China

    Litao Zhang & Haitao Zhao

  3. Department of Emergency, The Affiliated Hospital of Guizhou Medical University, Guiyang, China

    Zhilu Sun, Likun Wang & Guofeng Wu

  4. Department of Cardiovascular Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China

    Wei Li

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  1. Xingjie Wu
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Contributions

X.W., H.Z., G.W., and X.S. conceived the project, designed the experiments and wrote the manuscript. X.W., S.X., and L.Z. conducted the experiments and performed data analysis. Y.Z. performed SEC- and DGUC-based EV size fractionation. Q.G. and Y.E.W. established cellular inflammation models. W. Long conducted the Western blotting experiments and proteomic analyses. Z.S., L.W., W.L., and G.W. collected clinical samples and performed clinical diagnosis. Y.C. and L.T. coded the programs.

Corresponding authors

Correspondence to Xingjie Wu, Xiangchun Shen, Guofeng Wu or Haitao Zhao.

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Nature Communications thanks Jiashu Sun, Dan Stratton and the other anonymous reviewer for their contribution to the peer review of this work. [A peer review file is available].

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Wu, X., Xiong, S., Zhang, L. et al. Steric hindrance-mediated extracellular vesicle size fractionation for rapid prehospital diagnosis of intracerebral hemorrhage. Nat Commun (2026). https://doi.org/10.1038/s41467-026-71751-y

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  • Received: 07 May 2025

  • Accepted: 27 March 2026

  • Published: 09 April 2026

  • DOI: https://doi.org/10.1038/s41467-026-71751-y

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