Verification of the predictive value of EV-associated biomarkers MMP9 and CEACAM1 in rehabilitation of ischemic stroke

Jiao Luo , You Cai , Yanling Cai , Chunxia Zhang , Ankang Liu , Yongyang Huo , Xuehui Fan , Ruixue Ye , Hong Gao , Meiling Huang , Xiaohua Zhang , Mingchao Zhou , Yulong Wang

Extracellular Vesicles and Circulating Nucleic Acids ›› 2026, Vol. 7 ›› Issue (2) : 496 -513.

PDF
Extracellular Vesicles and Circulating Nucleic Acids ›› 2026, Vol. 7 ›› Issue (2) :496 -513. DOI: 10.20517/evcna.2025.122
Original Article
Verification of the predictive value of EV-associated biomarkers MMP9 and CEACAM1 in rehabilitation of ischemic stroke
Author information +
History +
PDF

Abstract

Aim: Extracellular vesicles (EVs) contribute to stroke rehabilitation by mediating intercellular signaling during inflammation and tissue repair. Here we report EV-associated surface proteins as potential biomarkers for predicting recovery of activities of daily living (ADL) during the subacute phase of ischemic stroke (IS).

Methods: IS patients and healthy controls (HCs) were recruited for this study, with serum samples analyzed across three study stages. In the discovery subset (10 IS, 6 HCs), serum proteomics was used to identify differentially expressed proteins (DEPros) and perform Gene Ontology (GO) enrichment analysis. In the exploration subset (7 IS, 12 HCs), a proximity-dependent barcoding assay (PBA) was employed to profile surface proteins on individual EVs and screen for biomarker candidates. In a validation cohort, patients were grouped by ADL improvement (little-effect recovery, LE, n = 30; obvious-effect recovery group, OE, n = 22) based on Longshi Scale and Barthel Index assessments at admission and at 3 months follow-up. Targeted biomarker validation was performed with enzyme-linked immunosorbent assay (ELISA) and receiver operating characteristic (ROC) analysis.

Results: A total of 113 DEPros were identified, with GO term enrichment in EV-related pathways. PBA profiling revealed matrix metalloproteinase 9 (MMP9), carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1), melanoma cell adhesion molecule (MCAM), and gelsolin (GSN) as candidate biomarkers. In the validation cohort, MMP9 and CEACAM1 were significantly elevated in the LE group. ROC analysis showed area under the curve (AUC) of 0.726 for MMP9 and 0.700 for CEACAM1 in distinguishing LE from OE.

Conclusion: Elevated serum levels of EV-associated biomarkers MMP9 and CEACAM1 were associated with poor ADL recovery, supporting their potential as prognostic biomarkers for stroke rehabilitation outcomes.

Keywords

Ischemic stroke rehabilitation / MMP9 / CEACAM1 / extracellular vesicles / biomarkers

Cite this article

Download citation ▾
Jiao Luo, You Cai, Yanling Cai, Chunxia Zhang, Ankang Liu, Yongyang Huo, Xuehui Fan, Ruixue Ye, Hong Gao, Meiling Huang, Xiaohua Zhang, Mingchao Zhou, Yulong Wang. Verification of the predictive value of EV-associated biomarkers MMP9 and CEACAM1 in rehabilitation of ischemic stroke. Extracellular Vesicles and Circulating Nucleic Acids, 2026, 7(2): 496-513 DOI:10.20517/evcna.2025.122

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Vogt G, Laage R, Shuaib A, Schneider A; VISTA Collaboration. Initial lesion volume is an independent predictor of clinical stroke outcome at day 90: an analysis of the Virtual International Stroke Trials Archive (VISTA) database. Stroke. 2012;43:1266-72.

[2]

Arsava EM,Avery R.Assessment of the predictive validity of etiologic stroke classification.JAMA Neurol2017;74:419-26 PMCID:PMC5470360

[3]

Mistry EA,Khatri P.National institutes of health stroke scale as an outcome in stroke research: value of ANCOVA over analyzing change from baseline.Stroke2022;53:e150-5 PMCID:8960347

[4]

Soares Martins T,Vaz M.Diagnostic and therapeutic potential of exosomes in Alzheimer’s disease.J Neurochem2021;156:162-81

[5]

Eyileten C,Domitrz I.Extracellular vesicle-derived miRNAs in ischemic stroke: roles in neuroprotection, tissue regeneration, and biomarker potential.Cell Mol Neurobiol2025;45:31 PMCID:PMC11958879

[6]

Wang C,Liu Y.Exosomes in atherosclerosis: performers, bystanders, biomarkers, and therapeutic targets.Theranostics2021;11:3996-4010 PMCID:PMC7914371

[7]

Kita S,Shimomura I.Interorgan communication by exosomes, adipose tissue, and adiponectin in metabolic syndrome.J Clin Invest2019;129:4041-9 PMCID:6763291

[8]

Salviano-Silva A,Brenna S.Extracellular vesicles carrying tenascin-c are clinical biomarkers and improve tumor-derived DNA analysis in glioblastoma patients.ACS Nano2025;19:9844-59 PMCID:PMC11924321

[9]

Wu D,Shen X.Profiling surface proteins on individual exosomes using a proximity barcoding assay.Nat Commun2019;10:3854 PMCID:PMC6710248

[10]

Tran HL,Issadore DA.Extracellular vesicles for clinical diagnostics: from bulk measurements to single-vesicle analysis.ACS Nano2025;19:28021-109 PMCID:PMC12356129

[11]

Wang Y,Zheng J.User testing of the psychometric properties of pictorial-based disability assessment Longshi Scale by healthcare professionals and non-professionals: a Chinese study in Shenzhen.Clin Rehabil2019;33:1479-91

[12]

Luo J,Xiao P.Inflammation-derived and clinical indicator-based predictive model for ischemic stroke recovery.J Am Heart Assoc2024;13:e035609 PMCID:11964079

[13]

Butler A,Smibert P,Satija R.Integrating single-cell transcriptomic data across different conditions, technologies, and species.Nat Biotechnol2018;36:411-20 PMCID:PMC6700744

[14]

Hao Y,Andersen-Nissen E.Integrated analysis of multimodal single-cell data.Cell2021;184:3573-87.e29 PMCID:PMC8238499

[15]

Satija R,Gennert D,Regev A.Spatial reconstruction of single-cell gene expression data.Nat Biotechnol2015;33:495-502 PMCID:PMC4430369

[16]

Stuart T,Hoffman P.Comprehensive integration of single-cell data.Cell2019;177:1888-902.e21 PMCID:PMC6687398

[17]

Zhang J,Wang G.Extracellular vesicles: techniques and biomedical applications related to single vesicle analysis.ACS Nano2023;17:17668-98

[18]

Hong C.Scalable trapping of single nanosized extracellular vesicles using plasmonics.Nat Commun2023;14:4801 PMCID:PMC10412615

[19]

Gualerzi A,Giannasi C.Raman spectroscopy uncovers biochemical tissue-related features of extracellular vesicles from mesenchymal stromal cells.Sci Rep2017;7:9820 PMCID:PMC5575260

[20]

Jalali M,Montermini L.MoS2-plasmonic nanocavities for raman spectra of single extracellular vesicles reveal molecular progression in glioblastoma.ACS Nano2023;17:12052-71 PMCID:10339787

[21]

Welsh JA,Bremer M.A compendium of single extracellular vesicle flow cytometry.J Extracell Vesicles2023;12:e12299 PMCID:PMC9911638

[22]

Rajendran RL,Ghosh S,Batabyal R.Unlocking the secrets of single extracellular vesicles by cutting-edge technologies.Pathol Res Pract2025;269:155878

[23]

Chen S,Xu W.Extracellular particles: emerging insights into central nervous system diseases.J Nanobiotechnol2025;23:263 PMCID:PMC11960037

[24]

Eldrup N,Sillesen H.Elevated matrix metalloproteinase-9 associated with stroke or cardiovascular death in patients with carotid stenosis.Circulation2006;114:1847-54

[25]

Zhong C, Yang J, Xu T, et al.; CATIS Investigators. Serum matrix metalloproteinase-9 levels and prognosis of acute ischemic stroke. Neurology Neurology. 2017;89:805-12. PMCID:5580861

[26]

Guo P,Zhang X.Matrix metalloproteinase‑9 in hemorrhagic transformation after acute ischemic stroke (Review).Mol Med Rep2025;32:225 PMCID:PMC12175134

[27]

Sundström J,Benjamin EJ.Relations of plasma matrix metalloproteinase-9 to clinical cardiovascular risk factors and echocardiographic left ventricular measures: the Framingham Heart Study.Circulation2004;109:2850-6

[28]

Kowalski RG,Violette JE.Rapid activation of neuroinflammation in stroke: plasma and extracellular vesicles obtained on a mobile stroke unit.Stroke2023;54:e52-7 PMCID:PMC10052772

[29]

Zhang Y,Wu W.Elevation of neutrophil carcinoembryonic antigen-related cell adhesion molecule 1 associated with multiple inflammatory mediators was related to different clinical stages in ischemic stroke patients.J Clin Lab Anal2022;36:e24526 PMCID:9279952

[30]

Ji Y,Ma Y.An MMP-9 exclusive neutralizing antibody attenuates blood-brain barrier breakdown in mice with stroke and reduces stroke patient-derived MMP-9 activity.Pharmacol Res2023;190:106720 PMCID:PMC11934118

[31]

Zhong C,Xu T.Tissue inhibitor metalloproteinase-1 and clinical outcomes after acute ischemic stroke.Neurology2019;93:819

[32]

Liu MB,Gao JM,Shi JS.Icariside II attenuates cerebral ischemia/reperfusion-induced blood-brain barrier dysfunction in rats via regulating the balance of MMP9/TIMP1.Acta Pharmacol Sin2020;41:1547-56 PMCID:7921596

[33]

Götz L,Ergün S.CEACAM1 in vascular homeostasis and inflammation.Eur J Clin Investig2024;54 Suppl 2:e14345 PMCID:PMC11646292

[34]

Sobey CG.CEACAM1: an adhesion molecule that limits blood-brain barrier damage by neutrophils after stroke.Circ Res2013;113:952-3

[35]

Weiner GM.CEACAM1: a novel adhesion molecule that regulates the secretion of matrix metalloproteinase-9 in neutrophils and protects the blood-brain barrier after ischemic stroke.Neurosurgery2014;75:N21-2

[36]

Ludewig P,Gelderblom M.Carcinoembryonic antigen-related cell adhesion molecule 1 inhibits MMP-9-mediated blood-brain-barrier breakdown in a mouse model for ischemic stroke.Circ Res2013;113:1013-22

[37]

Yu J,Chen Y.CEACAM1 inhibited IκB-α/NF-κB signal pathway via targeting MMP-9/TIMP-1 axis in diabetic atherosclerosis.J Cardiovasc Pharmacol2020;76:329-36

[38]

Uyttenboogaart M,Vroomen PC,Luijckx GJ.Optimizing cutoff scores for the Barthel index and the modified Rankin scale for defining outcome in acute stroke trials.Stroke2005;36:1984-7

[39]

Kim J,Seet RC,Mattson MP.Phytochemicals in ischemic stroke.Neuromolecular Med2016;18:283-305

[40]

Romano JG, Gardener H, Campo-Bustillo I, et al.; MaRISS Investigators*. Predictors of outcomes in patients with mild ischemic stroke symptoms: MaRISS. Stroke. 2021;52:1995-2004. PMCID:PMC9254134

[41]

Chung JY,Kim YS,Kang HG.Sex differences and risk factors in recurrent ischemic stroke.Front Neurol2023;14:1028431 PMCID:PMC9909397

[42]

Rexrode KM,Yu AYX,Lichtman JH.The impact of sex and gender on stroke.Circ Res2022;130:512-28 PMCID:8890686

PDF

0

Accesses

0

Citation

Detail

Sections
Recommended

/