| Title |
Novel, Objective, Multivariate Biomarkers Composed of Plasma Amino Acid Profiles for the Diagnosis and Assessment of Inflammatory Bowel Disease
|
|---|---|
| Published in |
PLOS ONE, January 2012
|
| DOI | 10.1371/journal.pone.0031131 |
| Pubmed ID | |
| Authors |
Tadakazu Hisamatsu, Susumu Okamoto, Masaki Hashimoto, Takahiko Muramatsu, Ayatoshi Andou, Michihide Uo, Mina T. Kitazume, Katsuyoshi Matsuoka, Tomoharu Yajima, Nagamu Inoue, Takanori Kanai, Haruhiko Ogata, Yasushi Iwao, Minoru Yamakado, Ryosei Sakai, Nobukazu Ono, Toshihiko Ando, Manabu Suzuki, Toshifumi Hibi |
| Abstract |
Inflammatory bowel disease (IBD) is a chronic intestinal disorder that is associated with a limited number of clinical biomarkers. In order to facilitate the diagnosis of IBD and assess its disease activity, we investigated the potential of novel multivariate indexes using statistical modeling of plasma amino acid concentrations (aminogram). |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 17% |
| Côte d'Ivoire | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 140 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 20% |
| Student > Ph. D. Student | 27 | 19% |
| Student > Master | 13 | 9% |
| Student > Bachelor | 12 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Other | 19 | 13% |
| Unknown | 37 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 28% |
| Agricultural and Biological Sciences | 24 | 17% |
| Biochemistry, Genetics and Molecular Biology | 8 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 5% |
| Chemistry | 7 | 5% |
| Other | 19 | 13% |
| Unknown | 39 | 27% |