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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Metabolomic alterations associated with Behçet’s disease
|
|---|---|
| Published in |
Arthritis Research & Therapy, September 2018
|
| DOI | 10.1186/s13075-018-1712-y |
| Pubmed ID | |
| Authors |
Wenjie Zheng, Xiuhua Wu, Maryam Goudarzi, Jing Shi, Wei Song, Chaoran Li, Jinjing Liu, Hua Chen, Xuan Zhang, Xiaofeng Zeng, Heng-Hong Li |
| Abstract |
The diagnosis of Behçet's disease (BD) remains challenging due to the lack of diagnostic biomarkers. This study aims to identify potential serum metabolites associated with BD and its disease activity. Medical records and serum samples of 24 pretreated BD patients, 12 post-treated BD patients, and age-matched healthy controls (HC) were collected for metabolomics and lipidomics profiling using UPLC-QTOF-MS and UPLC-QTOF-MSE approaches. Additionally, serum samples from an independent cohort of BD patients, disease controls including rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), Takayasu's arteritis (TA), Crohn's disease (CD) patients, and HC were collected for further validation of two potential biomarkers using UPLC-QTOFMS analysis. Unsupervised principal component analysis (PCA) showed a clear separation of metabolomics profiles of BD patients from HC. Statistical analysis of the data revealed differential metabolites between BD patients and HC. The serum levels of some phosphatidylcholines (PCs) were found to be significantly lower in BD patients, while the levels of several polyunsaturated fatty acids (PUFAs) were increased markedly in the BD group compared with HC. Furthermore, the serum level of two omega-6 PUFAs, linoleic acid (LA) and arachidonic acid (AA), were dramatically decreased in patients with remission. A validation cohort confirmed that the serum LA and AA levels in BD patients were significantly higher than those in HC and patients with RA, SLE, TA, and CD. In addition, receiver operating characteristic (ROC) analysis indicated good sensitivity and specificity. The serum metabolomics profiles in BD patients are altered. Serum LA and AA are promising diagnostic biomarkers for BD. |
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 % |
|---|---|---|
| United Kingdom | 5 | 83% |
| Spain | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
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 > Master | 8 | 16% |
| Student > Bachelor | 6 | 12% |
| Other | 5 | 10% |
| Researcher | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 15 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 26% |
| Nursing and Health Professions | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Chemical Engineering | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 21 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 23 July 2019.
All research outputs
#8,266,724
of 25,385,509 outputs
Outputs from Arthritis Research & Therapy
#1,656
of 3,381 outputs
Outputs of similar age
#135,813
of 350,625 outputs
Outputs of similar age from Arthritis Research & Therapy
#44
of 59 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 350,625 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.