| Title |
IL-6, PF-4, sCD40 L, and homocysteine are associated with the radiological progression of cerebral small-vessel disease: a 2-year follow-up study
|
|---|---|
| Published in |
Clinical Interventions in Aging, June 2018
|
| DOI | 10.2147/cia.s166773 |
| Pubmed ID | |
| Authors |
Jacek Staszewski, Renata Piusińska-Macoch, Bogdan Brodacki, Ewa Skrobowska, Adam Stępień |
| Abstract |
Endothelial dysfunction (ED) is involved in the pathogenesis of cerebral small vessel disease (SVD), however, it is not clear if specific biomarkers related to ED are associated with radiological progression of SVD. A single-center, prospective cohort study was conducted among consecutive, adult patients with SVD. Logistic regression was used to analyze the association of each baseline biomarker (highest vs lowest tertile) and the MRI radiological outcome after 2 years. The mean Z-score for vascular inflammation (VI) combined soluble intercellular cell adhesion molecule-1 (sICAM-1), soluble platelet selectin (sP-selectin), CD40 ligand (sCD40 L), platelet factor-4 (PF-4) and homocysteine; Z-score for systemic inflammation (SI) combined high-sensitivity C-reactive protein (hsCRP), interleukin-1α and -6 (IL-1α and IL-6, respectively) and tumor necrosis factor-α (TNF-α). The study group comprised 123 patients (age, mean±SD: 72.2±8 years, 49% females), with lacunar stroke (n=49), vascular dementia (n=48), and vascular parkinsonism (n=26). Moreover, 34.9% patients experienced radiological progression, 43% had progression of isolated white matter lesions (WMLs), 23.2% had new lacunes, and 34.8% had both WMLs progression and new lacunes. After adjustment for confounders (age, sex, blood pressure, MRI lesions load), the PF-4 (OR; 95% CI 5.5; 1.5-21), sCD40L (4.6; 1.1-18.6), IL-6 (7.4; 1.48-37), Z-score for VI (4.5; 1.1-18.6), and, marginally, homocysteine (4.1; 0.99-17) were associated with the risk of any radiological progression; further, homocysteine (2.4; 1.4-14), Z-score for SI (2.1; 1.2-14) and, marginally, IL-6 (6.0; 0.95 -38) were related to the development of new lacunes; PF-4 (7.9; 1.6-38) and, marginally, the Z-score for VI (4.2; 0.9-19.5) were correlated with the risk of WMLs progression. Additional adjustment for clinical SVD manifestations did not significantly alter the results. The data supports the concept that ED modulates the radiological progression of SVD and WMLs and lacunes are associated with different inflammatory markers. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Other | 4 | 8% |
| Researcher | 4 | 8% |
| Student > Master | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 16 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 22% |
| Neuroscience | 10 | 20% |
| Psychology | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 22 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 July 2018.
All research outputs
#3,711,927
of 25,385,509 outputs
Outputs from Clinical Interventions in Aging
#419
of 1,968 outputs
Outputs of similar age
#71,096
of 342,877 outputs
Outputs of similar age from Clinical Interventions in Aging
#16
of 38 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,877 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.