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Original Research
Rui-xia Zhu
China Medical College Hospital: China Medical University Hospital
Corresponding Author
ORCiD: https://orcid.org/0000-0002-2683-4674
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
CircRNAs belong to a novel class of noncoding RNAs that are generated by exons of genes by alternative mRNA splicing and involved in pathophysiological processes of ischemic stroke by regulating neuroinflammation.
Methods
A total of 982 patients were enrolled in our study for stroke recovery analysis. The aim of our study was to first explore the association between the inflammation related circRNA polymorphism and functional outcome 3 months after ischemic stroke by using multivariate logistic regression model. Next, we further investigated the role of circRNA polymorphism in predicting stroke recurrence by using cox proportional hazards regression model. Five circRNA polymorphisms were genotyped by using polymerase chain reaction and ligation detection reaction method.
Results
We identified circ-STAT3(signal transducer and activator of transcription) rs2293152 GG genotype to be associated with poorer recovery 90 days after stroke (OR=1.452; 95%CI:1.165-4.362, p=0.016). After adjusting for confound factors, the association for rs2293152 with 3 months outcome after IS was stronger, suggesting a mechanism that rs2293152 is an independent risk factor for stroke recovery (OR=2.255; 95%CI:1.034-2.038, p=0.031). However, no other circRNA polymorphisms (circ-DLGAP4 rs41274714,circ-TRAF2 rs10870141, circ-ITCH rs10485505,rs4911154 ) was associated with functional outcome 3 months after stroke in any genetic models. Subgroup analysis revealed that the negative effect of rs2293152 GG genotype was greater in female and older patients, subjects with history of hypertension. Additionally, all the circRNA polymorphisms were not correlated with recurrent risk of ischemic stroke.
Conclusions
Our results indicated that circ-STAT3 might be a novel biomarker for predicting functional outcome after stroke and an important contributor to the ischemic stroke recovery.
Keywords
ischemic stroke, prognosis, circRNA, polymorphism, inflammation
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CURRENT STATUS: Published
View the published article at Journal of Molecular Neuroscience.
Version 1
Posted 16 Feb, 2021
No community comments so far
Reviews received
Received 21 Apr, 2021
Reviewers invited
Invitations sent on 03 Feb, 2021
First submitted
On 03 Feb, 2021
Editor assigned
On 02 Feb, 2021
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Subject Areas
Cellular & Molecular Neuroscience
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at Journal of Molecular Neuroscience.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Original Research
Rui-xia Zhu
China Medical College Hospital: China Medical University Hospital
Corresponding Author
ORCiD: https://orcid.org/0000-0002-2683-4674
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Journal of Molecular Neuroscience.
Version 1
Posted 16 Feb, 2021
No community comments so far
Reviews received
Received 21 Apr, 2021
Reviewers invited
Invitations sent on 03 Feb, 2021
First submitted
On 03 Feb, 2021
Editor assigned
On 02 Feb, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Cellular & Molecular Neuroscience
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Journal of Molecular Neuroscience.
Background
CircRNAs belong to a novel class of noncoding RNAs that are generated by exons of genes by alternative mRNA splicing and involved in pathophysiological processes of ischemic stroke by regulating neuroinflammation.
Methods
A total of 982 patients were enrolled in our study for stroke recovery analysis. The aim of our study was to first explore the association between the inflammation related circRNA polymorphism and functional outcome 3 months after ischemic stroke by using multivariate logistic regression model. Next, we further investigated the role of circRNA polymorphism in predicting stroke recurrence by using cox proportional hazards regression model. Five circRNA polymorphisms were genotyped by using polymerase chain reaction and ligation detection reaction method.
Results
We identified circ-STAT3(signal transducer and activator of transcription) rs2293152 GG genotype to be associated with poorer recovery 90 days after stroke (OR=1.452; 95%CI:1.165-4.362, p=0.016). After adjusting for confound factors, the association for rs2293152 with 3 months outcome after IS was stronger, suggesting a mechanism that rs2293152 is an independent risk factor for stroke recovery (OR=2.255; 95%CI:1.034-2.038, p=0.031). However, no other circRNA polymorphisms (circ-DLGAP4 rs41274714,circ-TRAF2 rs10870141, circ-ITCH rs10485505,rs4911154 ) was associated with functional outcome 3 months after stroke in any genetic models. Subgroup analysis revealed that the negative effect of rs2293152 GG genotype was greater in female and older patients, subjects with history of hypertension. Additionally, all the circRNA polymorphisms were not correlated with recurrent risk of ischemic stroke.
Conclusions
Our results indicated that circ-STAT3 might be a novel biomarker for predicting functional outcome after stroke and an important contributor to the ischemic stroke recovery.
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