Circulating MicroRNAs in Delayed Cerebral Infarction After Aneurysmal Subarachnoid Hemorrhage

Author:

Lu Gang12,Wong Man Sze2,Xiong Mark Zhi Qiang3,Leung Chi Kwan3,Su Xian Wei3,Zhou Jing Ye1,Poon Wai Sang1,Zheng Vera Zhi Yuan1,Chan Wai Yee2,Wong George Kwok Chu1

Affiliation:

1. Division of Neurosurgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, China

2. CUHK‐SDU Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, China

3. Bioinformatics Unit, SDIVF R&D Centre, Hong Kong Science and Technology Parks, Hong Kong, China

Abstract

Background Delayed cerebral infarction ( DCI ) is a major cause of morbidities after aneurysmal subarachnoid hemorrhage ( SAH ) and typically starts at day 4 to 7 after initial hemorrhage. Micro RNA s (mi RNAs ) play an important role in posttranscriptional gene expression control, and distinctive patterns of circulating mi RNA changes have been identified for some diseases. We aimed to investigate mi RNA s that characterize SAH patients with DCI compared with those without DCI . Methods and Results Circulating mi RNA s were collected on day 7 after SAH in healthy, SAH ‐free controls (n=20), SAH patients with DCI (n=20), and SAH patients without DCI (n=20). We used the LASSO (least absolute shrinkage and selection operator) method of regression analysis to characterize mi RNA s associated with SAH patients with DCI compared with those without DCI . In the 28 dysregulated mi RNA s associated with DCI and SAH , we found that a combination of 4 mi RNA s (miR‐4532, miR‐4463, miR‐1290, and miR‐4793) could differentiate SAH patients with DCI from those without DCI with an area under the curve of 100% (95% CI 1.000–1.000, P <0.001). This 4‐mi RNA combination could also distinguish SAH patients with or without DCI from healthy controls with areas under the curve of 99.3% (95% CI 0.977–1.000, P <0.001) and 82.0% (95% CI 0.685–0.955, P <0.001), respectively. Conclusions We found a 4‐mi RNA combination that characterized SAH patients with DCI . The findings could guide future mechanistic study to develop therapeutic targets.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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