2022
DOI: 10.3389/fncel.2022.1016814
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MicroRNA cerebrospinal fluid profile during the early brain injury period as a biomarker in subarachnoid hemorrhage patients

Abstract: IntroductionDelayed cerebral ischemia (DCI) is a dreadful complication present in up to 30% of patients with spontaneous subarachnoid hemorrhage (SAH). Indeed, DCI is one of the main causes of long-term disability in SAH, yet its prediction and prevention are troublesome in poor-grade SAH cases. In this prospective study, we explored the potential role of micro ribonucleic acid (microRNA, abbreviated miRNAs)—small non-coding RNAs involved in clue gene regulation at the post-transcriptional level—as biomarkers … Show more

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Cited by 3 publications
(2 citation statements)
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References 79 publications
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“…In addition, Pedrosa et al (2022) found that the microRNA cerebrospinal fluid profile during the early brain injury period is a biomarker in subarachnoid hemorrhage patients. These findings suggest that circulating miRNAs can be used to assess condition changes and predict prognosis in patients with SAH.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, Pedrosa et al (2022) found that the microRNA cerebrospinal fluid profile during the early brain injury period is a biomarker in subarachnoid hemorrhage patients. These findings suggest that circulating miRNAs can be used to assess condition changes and predict prognosis in patients with SAH.…”
Section: Discussionmentioning
confidence: 99%
“…In our previous studies ( Lai et al, 2017 ; Sheng et al, 2018a ; Sheng et al, 2018b ), we found that serum microRNAs, as non-invasive biomarkers for the presence and progression of subarachnoid hemorrhage, and high levels of miR-502-5p and miR-1297 can predict and evaluate the prognosis of SAH. In addition, Pedrosa et al (2022 ) found that the microRNA cerebrospinal fluid profile during the early brain injury period is a biomarker in subarachnoid hemorrhage patients. These findings suggest that circulating miRNAs can be used to assess condition changes and predict prognosis in patients with SAH.…”
Section: Discussionmentioning
confidence: 99%