ArticleBMC neurology2024
lncRNA six3os1 diagnoses acute stroke, predicts disease severity, and predicts post-stroke cognitive impairment.
Article in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review and meta-analysis of stroke blood biomarker data highlights need for more translational research methods.Nature communications · 2026Pooled it
- Blood-Based Biomarkers for Post-Stroke Cognitive Impairment.Current issues in molecular biology · 2026Review
- NEXN-AS1 Predicts the Occurrence of Post-Stroke Cognitive Impairment and Alleviates Inflammation and Oxidative Stress by Targeting the miR-92a-3p/NRF1 Axis : NEXN-AS1 Alleviates Inflammation and Oxidative Stress in PSCI.Neurochemical research · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundStroke is the main cause of death and disability. Post-stroke cognitive impairment (PSCI) is one of the most severe complications of stroke, which lacks effective biomarkers for its early detection.
objectiveThis study evaluated the significance of lncRNA SIX3OS1 in acute stroke and PSCI aiming to identify a novel biomarker. PATIENTS AND
methodsThe study enrolled 138 patients with acute stroke and 80 healthy individuals. By comparing the serum SIX3OS1 in acute stroke and healthy individuals, the significance of SIX3OS1 in diagnosing acute stroke, assessing disease severity, and predicting the risk of PSCI was revealed.
resultsSignificant upregulation of SIX3OS1 in acute stroke was observed, which discriminated patients with acute stroke from healthy individuals and indicated severe disease conditions of patients. There were 72 acute stroke patients who had PSCI accounting for 52.17% that showed a higher serum SIX3OS1 level than post-stroke cognitive normal patients. The increasing serum SIX3OS1 level was also identified as a risk factor for PSCI and could distinguish PSCI patients. Additionally, SIX3OS1 showed a negative correlation with the MoCA score of PSCI patients.
conclusionSerum SIX3OS1 level can be considered a biomarker for screening acute stroke and a predictor for PSCI.
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