The widespread prevalence of coronavirus disease-2019 (COVID-19) which is caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, has resulted in a severe global public health emergency. However, there are no sensitive biomarkers to predict the disease prognosis of COVID-19 patients. Here, we have identified interleukin-8 (IL-8) as a biomarker candidate to predict different disease severity and prognosis of COVID-19 patients. While serum IL-6 become obviously elevated in severe COVID-19 patients, serum IL-8 was easily detectible in COVID-19 patients with mild syndromes. Furthermore, lL-8 levels correlated better than IL-6 levels with the overall clinical disease scores at different stages of the same COVID-19 patients. Thus, our studies suggest that IL-6 and IL-8 can be respectively used as biomarkers for severe COVID-19 patients and for COVID-19 disease prognosis.

The pathogenesis of white matter hyperintensities (WMH) is incompletely understood but blood-brain barrier (BBB) dysfunction may play a key role. This study aimed to investigate the relationship between BBB permeability and the severity of WMH burden. Consecutive participants without symptomatic stroke history presented for physical examination were recruited in this cross-sectional study and divided into three WMH burden groups according to total Fazekas scores. They received dynamic contrast-enhanced-magnetic resonance imaging to measure BBB permeability, and received Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). A total of 102 participants aged 49-90 years (mean age of 69.82 years) were enrolled (36 with low WMH burden, 35 with medium WMH burden, and 31 with high WMH burden). Multivariable linear regression analyses revealed that participants with higher WMH burden had significantly higher BBB leakage rate and area under the leakage curve in normal-appearing white matter, WMH, cortical gray matter, and deep gray matter (DGM) after adjustment for age, sex, and vascular risk factors. Scores on MMSE and MoCA decreased with increasing leakage rate in WMH and DGM after adjustment for age, sex, WMH burden, and education years. We found that higher BBB permeability is associated with higher WMH burden and cognitive decline. The compromised BBB integrity may be a critical contributor to the pathogenesis of WMH and part of a series of pathological processes that finally lead to cognitive impairment.

It has become increasingly difficult to locate relevant information on the Web, even with the help of Web search engines. Two approaches to addressing the low precision and poor presentation of search results of current search tools are studied: meta-search and document categorization. Meta-search engines improve precision by selecting and integrating search results from generic or domain-specific Web search engines or other resources. Document categorization promises better organization and presentation of retrieved results. This article introduces MetaSpider, a meta-search engine that has real-time indexing and categorizing functions. We report in this paper the major components of MetaSpider and discuss related technical approaches. Initial results of a user evaluation study comparing MetaSpider, NorthernLight, and MetaCrawler in terms of clustering performance and of time and effort expended show that MetaSpider performed best in precision rate, but disclose no statistically significant differences in recall rate and time requirements. Our experimental study also reveals that MetaSpider exhibited a higher level of automation than the other two systems and facilitated efficient searching by providing the user with an organized, comprehensive view of the retrieved documents.