Evidence map›Paper›PMID 42747227›Full record

ArticleCNS neuroscience & therapeutics2026

Circulating Serum AGRN and ADAMTS8 With Related Candidates as Potential Biomarkers for Carotid Plaque Presence and Vulnerability.

Shuaiwei Guo, Shengyan Cui, Xiao Zhang, Zixuan Xing, Yixin Sun, Mingqian Qin, Xiaoying Ma, Xiangyu Li, Yan Ma, Peng Gao and 9 more

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 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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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

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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 literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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

19 authors.

Shuaiwei GuoDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Shengyan CuiDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Xiao ZhangDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.ORCID https://orcid.org/0000-0001-9037-6340
Zixuan XingDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.ORCID https://orcid.org/0000-0001-7935-2575
Yixin SunFirst Hospital, Peking University, Beijing, China.
Mingqian QinEmergency of Neurosurgery, Affiliated Hospital of Shandong Second Medical University, Shandong, China.
Xiaoying MaDepartment of Neurosurgery, North China University of Science and Technology Affiliated Hospital/North China University of Science and Technology, Tangshan, China.
Xiangyu LiDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Yan MaDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Peng GaoDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Yanfei ChenDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Yabing WangDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Bin YangDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Jian ChenDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Fei ChenDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Xia LuDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.
Jiaqi JinDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.ORCID https://orcid.org/0000-0002-7635-5452
Liqun JiaoDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.ORCID https://orcid.org/0000-0003-4982-6295
Tao WangDepartment of Neurosurgery, Xuanwu Hospital, China International Neuroscience Institute; Capital Medical University, National Center for Neurological Disorders, Beijing, China.ORCID https://orcid.org/0000-0003-1225-0173

Funding

Beijing Nova Program 20230484336National Natural Science Foundation of China 82301468National Natural Science Foundation of China 82501574
6 · The paper itself

Abstract

backgroundCarotid atherosclerosis is a major etiologic substrate for ischemic stroke. Although imaging can characterize stenosis and plaque morphology, circulating biomarkers may better support screening and scalable risk stratification, yet reliable serum protein markers for carotid plaque, particularly for plaque instability, remain limited.

methodsWe enrolled 128 participants, including patients with stable plaques (n = 41), unstable plaques (n = 49), and healthy controls (n = 38). Plaque stability was determined by carotid ultrasonography. We prespecified a serum biomarker panel comprising seven proteins and measured all of them: agrin (AGRN), ADAMTS8, ADAMTS9, collagen type XVIII alpha 1 chain (COL18A1), integrin subunit beta 4 (ITGB4), lysyl oxidase like 4 (LOXL4), and slit guidance ligand 3 (SLIT3). All proteins were quantified by enzyme-linked immunosorbent assay (ELISA). Group comparisons were performed with multiple-comparison adjustment. Receiver operating characteristic (ROC) analyses and the area under the curve (AUC) evaluated the ability of individual biomarkers and the combined prediction probability to discriminate plaque presence and plaque instability.

resultsBaseline characteristics differed substantially between plaque groups and healthy controls. Serum AGRN concentrations were significantly elevated in plaque patients versus controls (mean ± SD, Stable: 2222.42 ± 508.30 pg/mL; Unstable: 2109.59 ± 513.51 pg/mL; Healthy: 1800.36 ± 375.89 pg/mL; overall p < 0.001), while ADAMTS8 levels were comparable across groups (overall p = 0.110). In multivariable Firth penalized logistic regression with log2-transformed biomarkers, neither AGRN nor ADAMTS8 was independently associated with plaque presence or plaque instability after adjustment for age, sex, hypertension, alcohol use, dyslipidemia, smoking, diabetes mellitus, and coronary heart disease (all adjusted p > 0.05). For discriminating plaque presence, the combined AGRN+ADAMTS8 model achieved an apparent AUC of 0.771 (bootstrap 95% CI, 0.678-0.865; optimism-corrected AUC, 0.764; repeated stratified 5-fold cross-validated AUC, 0.749). For plaque instability, the combined model showed no discriminatory capacity (apparent AUC, 0.549; optimism-corrected AUC, 0.498; repeated 5-fold cross-validated AUC, 0.471).

conclusionsCirculating AGRN and ADAMTS8, measured as serum concentrations, are associated with carotid plaque presence versus healthy controls but do not independently discriminate plaque presence or instability after multivariable adjustment. Clinical covariates alone (age, sex, vascular risk factors) provided near-perfect discrimination of plaque presence, indicating substantial spectrum bias arising from the healthy-control comparator design. These findings underscore the need for age- and risk-matched comparator populations in future biomarker studies, consistent with STARD 2015 recommendations.

Indexed as

ADAMTS ProteinsAgrinCarotid Artery DiseasesPlaque, AtheroscleroticAgedBiomarkersFemaleHumansMaleMiddle AgedROC CurveUltrasonography, Carotid ArteriesADAMTS ProteinsAgrinBiomarkersADAMTS8agrinbiomarkerscarotid plaqueELISAextracellular matrix remodelingplaque instabilityROC

Identifiers

PMID42747227
PMCPMC13580344

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