| Title |
Identification of more objective biomarkers for Blood-Stasis syndrome diagnosis
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, September 2016
|
| DOI | 10.1186/s12906-016-1349-9 |
| Pubmed ID | |
| Authors |
Jiangquan Liao, Yongmei Liu, Jie Wang |
| Abstract |
Blood-stasis syndrome (BSS) is one of the Traditional Chinese medicine (TCM) syndrome differentiations that are commonly seen in stroke and ischemic heart diseases; however, the BSS differentiation criterion is not standardized. More objective biomarkers for BSS diagnosis are needed. Acute ischemic stroke (AIS) or unstable angina (UA) patients with BSS and healthy controls were enrolled. The miRNA and mRNA expression profiles of UA patients and AIS patients were compared to those of healthy controls to identify the differentially expressed miRNA and mRNA of BSS. Bioinformatics analysis was used to identify significantly deregulated miRNAs and mRNAs correlated to BSS. QRT-PCR was performed to validate the bioinformatics analysis results. Approximately 401 mRNAs and 11 miRNAs were differentially expressed in both UA and AIS patients compared to healthy controls. Gene ontology (GO) functional analysis was performed, and multiple GO terms were enriched. Among the overlapping DE miRNAs and mRNAs, miR-146b-5p, -199a-5p and 23 targeted mRNAs were pivotal genes in the BSS genomic characteristics. These 2 miRNAs and 23 mRNAs formed network-type biomarkers for BSS. The genomic characteristics of BSS were shown in this study. miR-146b-5p, -199a-5p and the 23 targeted mRNAs formed a diagnostic network for BSS. Further improvement and validation of this diagnostic network might lead to more objective diagnostic criteria for BSS. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Mexico | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 18% |
| Student > Postgraduate | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Librarian | 1 | 5% |
| Other | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 10 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Mathematics | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 13 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 September 2016.
All research outputs
#14,272,830
of 22,889,074 outputs
Outputs from BMC Complementary Medicine and Therapies
#1,692
of 3,637 outputs
Outputs of similar age
#183,190
of 321,010 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#40
of 88 outputs
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