Methods for diagnosis of early stage heart failure
A heart failure and biomarker technology, applied in disease diagnosis, material testing products, measurement devices, etc., can solve problems such as being not cost-effective and impractical for patients with heart failure
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Embodiment 1
[0096] Materials and Method
[0097] Study participants
[0098] This research was supported by the University of Queensland Medical Ethical Institutional Board and the Mater Health Services Human Research Ethics Committee and the Royal Brisbane and Women’s Hospital Research Management Institution (Royal Brisbane and Women’s Hospital). Women's Hospital Research Governance) approval. All study participants> 18 years old, and gave informed consent before collecting samples. The exclusion criteria for healthy controls are based on a simple questionnaire asking volunteers to indicate whether they have any comorbid disease and oral diseases (such as periodontal disease and gingivitis, autoimmune, infectious, musculoskeletal or malignant diseases) And recently had surgery or trauma). If there are any medical conditions, the participant will be excluded from the study. The volunteers are of Caucasian and Asian ethnicity, have no fever or cold symptoms, and have good oral hygiene.
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Embodiment 2
[0111] Identify proteins by LC-ESI-MS / MS
[0112] Putative new salivary protein biomarkers for heart failure can be identified by the following methods: respectively confluence the saliva of patients with elevated BNP and saliva of healthy controls, reduce the dynamic range of ProteoMiner, use trypsin to digest proteins, and use LC-ESI-MS / MS and database searches to identify peptides. To detect proteins with varying abundances between patients with heart failure and controls, a semi-quantitative method was used to compare the grade, score, peptide coverage percentage, and number of peptides identified for each protein. This semi-quantitative method identified a variety of putative proteins with different abundances, as shown in Table 2.
[0113] Table 2 Comparison of salivary proteins with different abundances in patients with heart failure and controls
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[0115] In order to preliminarily verify these putative biomarkers, the extracted ion chromatograms based on LC-ESI-MS / ...
Embodiment 3
[0119] Use SWATH-MS for verification
[0120] In order to verify the The putative new biomarkers identified by the analysis were tested by SWATH-MS on saliva samples collected from patients with heart failure and controls. By comparing the unbiased SWATH-MS proteomics of saliva from patients with heart failure and controls, differences in abundance were identified> 2 times and corrected P Seven proteins of figure 2 A, the school value P figure 1 ). The increase in the abundance of KLK1 was also verified by SWATH-MS analysis, which showed that the abundance of KLK1 in patients with heart failure increased by 1.3 times compared with the control ( figure 2 B, corrected P= <0.0001).
[0121] Since the abundance of SPLC2 is decreased in patients with heart failure and the abundance of KLK1 is increased compared with controls, the usefulness of the abundance ratio of these independently verified biomarkers in the identification of heart failure was studied. A large and highly signifi...
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