| Title |
NT-ProBNP Levels in Saliva and Its Clinical Relevance to Heart Failure
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0048452 |
| Pubmed ID | |
| Authors |
Jared Yong Yang Foo, Yunxia Wan, Karam Kostner, Alicia Arivalagan, John Atherton, Justin Cooper-White, Goce Dimeski, Chamindie Punyadeera |
| Abstract |
Current blood based diagnostic assays to detect heart failure (HF) have large intra-individual and inter-individual variations which have made it difficult to determine whether the changes in the analyte levels reflect an actual change in disease activity. Human saliva mirrors the body's health and well being and ∼20% of proteins that are present in blood are also found in saliva. Saliva has numerous advantages over blood as a diagnostic fluid which allows for a non-invasive, simple, and safe sample collection. The aim of our study was to develop an immunoassay to detect NT-proBNP in saliva and to determine if there is a correlation with blood levels. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 12% |
| Researcher | 7 | 11% |
| Student > Bachelor | 7 | 11% |
| Student > Master | 6 | 9% |
| Professor | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 26 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 21% |
| Engineering | 5 | 8% |
| Agricultural and Biological Sciences | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 31 | 47% |