ArticleBioscience reports2017
Correlation between serum S100β protein levels and cognitive dysfunction in patients with cerebral small vessel disease: a case-control study.
Article in Bioscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Blood Astrocyte Biomarkers in Alzheimer Disease: A Systematic Review and Meta-Analysis.Neurology · 2024Pooled it
- Predictors of cognitive decline in older individuals without dementia: An updated meta-analysis.Annals of clinical and translational neurology · 2023Pooled it
- The clinical profile of cerebral small vessel disease: Toward an evidence-based identification of cognitive markers.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Pooled it
- Biomarker advancements in cerebral small vessel disease: An overview.Neural regeneration research · 2026Article
- Neuroinflammation and blood-brain barrier dysfunction in cerebral small vessel disease: mechanisms, biomarkers, and therapeutic implications.European journal of medical research · 2026Review
- Protective effects of ginsenosides in cerebral small vessel disease: Cellular and molecular mechanisms.Journal of ginseng research · 2025Review
- Plasmodium knowlesi Infection Is Associated With Elevated Circulating Biomarkers of Brain Injury and Endothelial Activation.The Journal of infectious diseases · 2025Article
- Synergistic effects of plasma S100B and MRI measures of cerebrovascular disease on cognition in older adults.GeroScience · 2025Article
- Cerebral manifestations of falciparum malaria in adults: more than meets the eye.Trends in parasitology · 2025Review
- Blood biomarkers for vascular cognitive impairment based on neuronal function: a systematic review and meta-analysis.Frontiers in neurology · 2025Review
- Potential biomarkers for cerebral small vessel disease with cognitive impairment: a systematic review and meta-analysis.Frontiers in aging neuroscience · 2024Review
- Spinal cord injury immunosensor: Sensitive detection of S100β on interdigitated electrode sensor.Heliyon · 2023Article
- The kidney-brain pathogenic axis in severe falciparum malaria.Trends in parasitology · 2023Review
- Plasma levels of S100B and neurofilament light chain protein in stress-related mental disorders.Scientific reports · 2022Article
- The Value of Brain Structural Magnetic Resonance Imaging Combined with APOE--Contrast media & molecular imaging · 2022Article
- Diagnostic value of plasma D-dimer and serum lipoprotein phospholipase A2 in patients with cerebral small vessel disease and their association with severity of the disease.American journal of translational research · 2022Article
- Blood-Brain Barrier Dysfunction and the Potential Mechanisms in Chronic Cerebral Hypoperfusion Induced Cognitive Impairment.Frontiers in cellular neuroscience · 2022Review
- Levels of serum S100B are associated with cognitive dysfunction in patients with type 2 diabetes.Aging · 2020Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study was designed to explore the correlation between serum S100β levels and cognitive dysfunction in patients with cerebral small vessel disease (SVD). A total of 172 SVD patients participated in the study, and they were assigned to patients with no cognitive impairment (NCI group) and those with vascular cognitive impairment no dementia (VCIND group). In total, 105 people were recruited into the normal control group. Serum S100β protein level was detected by ELISA. A receiver operating characteristic (ROC) curve was employed for the predictive value of serum S100β in diagnosing SVD with cognitive dysfunction. Pearson correlation analysis was used to examine the association of S100β level with mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA) and the association of S100β levels with hypertension. Logistic regression analysis was used to analyze risk factors of SVD. The serum S100β levels in the VCIND group were higher than those in the NCI and normal control groups. Logistic regression analysis revealed that a high serum S100β protein level, hypertension, and high low density lipoprotein-cholesterol (LDL-C) level were the independent risk factors for SVD. In addition, hypertension patients showed higher S100β levels than those with normal blood pressure and the normal control group, and there was a positive correlation between S100β level and blood pressure. The concentration of serum S100β level was related to impairment of cognition function of VCIND patients, therefore, early detection of serum S100β was of great value for diagnosis of SVD.
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