Title |
Proteomic signatures of serum albumin-bound proteins from stroke patients with and without endovascular closure of PFO are significantly different and suggest a novel mechanism for cholesterol efflux
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Published in |
Clinical Proteomics, January 2015
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DOI | 10.1186/1559-0275-12-2 |
Pubmed ID | |
Authors |
Mary F Lopez, Bryan Krastins, David A Sarracino, Gregory Byram, Maryann S Vogelsang, Amol Prakash, Scott Peterman, Shadab Ahmad, Gouri Vadali, Wenjun Deng, Ignacio Inglessis, Tom Wickham, Kathleen Feeney, G William Dec, Igor Palacios, Ferdinando S Buonanno, Eng H Lo, MingMing Ning |
Abstract |
The anatomy of PFO suggests that it can allow thrombi and potentially harmful circulatory factors to travel directly from the venous to the arterial circulation - altering circulatory phenotype. Our previous publication using high-resolution LC-MS/MS to profile protein and peptide expression patterns in plasma showed that albumin was relatively increased in donor samples from PFO-related than other types of ischemic strokes. Since albumin binds a host of molecules and acts as a carrier for lipoproteins, small molecules and drugs, we decided to investigate the albumin-bound proteins (in a similar sample cohort) in an effort to unravel biological changes and potentially discover biomarkers related to PFO-related stroke and PFO endovascular closure. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 7 | 15% |
Other | 5 | 10% |
Professor > Associate Professor | 5 | 10% |
Student > Bachelor | 4 | 8% |
Professor | 4 | 8% |
Other | 10 | 21% |
Unknown | 13 | 27% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 14 | 29% |
Biochemistry, Genetics and Molecular Biology | 6 | 13% |
Chemistry | 3 | 6% |
Agricultural and Biological Sciences | 2 | 4% |
Computer Science | 1 | 2% |
Other | 5 | 10% |
Unknown | 17 | 35% |