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Circulating exosomal lncRNAs as predictors of risk and unfavorable prognosis for large artery atherosclerotic stroke

Clinical and Translational Medicine2021Vol. 11(12), pp. e555–e555

Citations Over TimeTop 18% of 2021 papers

Shuai Zhang, Xia Wang, Ruihua Yin, Xiao Qi, Yuanyuan Ding, Xiaoyan Zhu, Xudong Pan

Abstract

Large artery atherosclerotic (LAA) stroke has the worst prognosis and the heaviest burden among all stroke subtypes.1 A rapid and reliable diagnostic and prognostic biomarker is the key reference factor for early treatment strategies in LAA stroke management.2 Neuroimaging and clinical risk scores could evaluate the diagnosis and prognosis for LAA stroke. However, they still have some limitations.3 Exosomal lncRNAs, stable in peripheral blood, show promising diagnostic and prognostic value for cancer and other diseases.4, 5 Here, we revealed the diagnostic value and prognostic performance of exosomal lncRNAs in LAA stroke through compared the expression among different substyle stroke. More importantly, the differences between plasmatic lncRNAs and exosomal lncRNAs in expression and diagnostic performance were also compared. To obtain differentially expressed exosomal lncRNAs in LAA stroke, 602 participants recruited from 2019 to 2021 at the Affiliated Hospital of Qingdao University in China. All patients were randomly assigned into discovery set (n = 12), validation set (n = 80) and replication set (n = 510) (Figure S1A, Table S1 in Supporting Information). Of 201 LAA stroke patients underwent NIHSS (defined as mild stroke: score ranged 0–6; moderate:7-15; and severe: > 15) and mRS (defined as favorable outcome: score ranged 0 to 2; poor outcome: > 2), Chi-square test showed NIHSS scores were different between favorable and unfavorable outcomes in LAA patients (P 0.05, Figure 2E). To further confirm whether exosomal lncRNAs could distinguish LAA stroke from SAO stroke or AS patients, we increased the subgroups. The results indicated that the expression of upreglated exosomal lncRNAs were higher in LAA group than SAO, AS, and control groups (P 0.05; Figure 2I). Eventually, exo-lnc_000048, exo-lnc_001350 and exo-lnc_016442 (specifically and stably expressed in LAA group) were enrolled in Logistic regression analysis. The levels of exo-lnc_000048, exo-lnc_001350, and exo-lnc_016442 remained significantly associated with increased odds of LAA stroke (Figure 2K). ROC demonstrated exo-lnc_000048, exo-lnc_001350, and exo-lnc_0016442 exhibited AUCs of 0.829, 0.920, and 0.858, respectively (Figure S3A, Table S4). Furtherly, integrated exosomal lncRNAs panel performs better diagnostic ability than individual factor at predicting LAA stroke: combination of three exosomal lncRNAs exhibited an AUC of 0.936. (Figure 2L). Of note, the traditional biomarkers of TG, TC and LDL showed poor AUCs of 0.598, 0.611, and 0.541, respectively (Figure S3B, Table S4). The addition of traditional factors could not increase the diagnostic efficacy of exosomal lncRNAs (AUC: 0.936, Figures 2L, 2M). Traditional NIHSS and mRS scores are often used as severity and prognostic indicator for stroke. Here, we evaluated the relevance of exosomal lncRNAs, NIHSS and prognosis. Exo-lnc_000048, exo-lnc_001350 and exo-lnc_016442 levels were elevated with the increase in the degree of severity of stroke (Figures 3A-C). For prognosis, exo-lnc_000048, exo-lnc_001350, and exo-lnc_016442 were elevated more in unfavorable outcome than favorable outcome (P < 0.0001; Figures 3D-F, Table S5). When combining all upregulated exosomal lncRNAs and risk predictors (NIHSS, sex, age, TG, TC, and LDL) in a multivariate model, only NIHSS, exo-lnc_001350, and exo-lnc_016442 remained predictors of functional outcome (Table S6). In addition, exosomal lncRNAs had a significantly higher prognostic capacity than NIHSS. Interestingly, strongly improved discernment was obtained through integrated exosomal lncRNAs rather than only NIHSS in a discernment model for unfavorable outcome (NRI = 0.2222, P < 0.0001) (Figure 3G, Table S7). Although plasmatic lncRNAs are more readily available than exosomes, most of the lncRNAs in plasma exhibit poor stability due to nuclease degradation.10 To evaluate the expression of plasmatic lncRNAs, we further verified the expression of plasmatic lncRNAs in each group (Figures 4A-E). The results revealed plasmatic lncRNAs exhibited unstable performance. Correlation analysis revealed that lncRNAs levels were poorly correlated between plasma and exosomes (Figure 4G), which indicted exosomal lncNRAs might be particular biomarkers for LAA stroke. Interestingly, we observed the AUCs of exosomal lncRNAs had an obvious advantage over plasmatic lncRNAs in identifying LAA stroke patients (lnc_000048: 0.825 vs. 0.591, lnc_001350: 0.920 vs. 0.584, lnc_016442: 0.858 vs. 0.706, Figure 4F) In conclusion, our study provided novel insights into the clinical value in exosomal ncRNAs for LAA stroke. We found that exosomal lncRNAs rather than plasmatic lncRNAs were significantly differential expressed in LAA strokes. Notably, combined exo-lnc_000048, exo-lnc_001350 and exo-lnc_016442 exhibit better diagnostic performance. Additionally, exo-lnc_001350 and exo-lnc_016442 significantly elevated the prognostic capacity of NIHSS for unfavorable outcomes in LAA stroke, which indicted exosomal lncRNAs could be new and valuable biomarkers for the prognosis of LAA stroke. These findings suggested that exosomal lncRNAs might allow for better and earlier improved treatment strategies to effectively change the outcome of LAA stroke. We are grateful to the physicians, nurses, and all the patients who participated in this research. We also thank the assistance and technical support from all the colleagues who participated in this study. The authors have no conflicts of interest. This work was supported by the National Natural Science Foundation of China (no. 81771259), and Natural Science Foundation of Shandong Province (ZR2020MH138). Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Citations Over TimeTop 18% of 2021 papers

Abstract

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