ArticleClinical proteomics2014
Proteomic analysis of human plasma in chronic rheumatic mitral stenosis reveals proteins involved in the complement and coagulation cascade.
Article in Clinical proteomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- 7-day longitudinal proteomics of critically ill patients: a pilot study.Scientific reports · 2026Observational
- Valve biology and rheumatic heart disease pathogenesis.Nature cardiovascular research · 2026Review
- Alpha-1-antitrypsin in serum exosomes and pericardial fluid exosomes is associated with severity of rheumatic heart disease.Molecular and cellular biochemistry · 2023Article
- Profiling system-wide variations and similarities between Rheumatic Heart Disease and Acute Rheumatic Fever-A pilot analysis.PLoS neglected tropical diseases · 2023Article
- Data-independent acquisition mass spectrometry in severe rheumatic heart disease (RHD) identifies a proteomic signature showing ongoing inflammation and effectively classifying RHD cases.Clinical proteomics · 2022Article
- Serum Proteomic Changes in Dogs with Different Stages of Chronic Heart Failure.Animals : an open access journal from MDPI · 2022Article
- Mechanistic implications of altered protein expression in rheumatic heart disease.Heart failure reviews · 2022Review
- Sickening or Healing the Heart? The Association of Ficolin-1 and Rheumatic Fever.Frontiers in immunology · 2018Observational
- Proteomics in India: the clinical aspect.Clinical proteomics · 2016Review
- New biomarkers for primary mitral regurgitation.Clinical proteomics · 2015Article
- Proteomic analysis of mitral valve in Lewis rat with acute rheumatic heart disease.International journal of clinical and experimental pathology · 2015Article
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Authors and funding
9 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRheumatic fever in childhood is the most common cause of Mitral Stenosis in developing countries. The disease is characterized by damaged and deformed mitral valves predisposing them to scarring and narrowing (stenosis) that results in left atrial hypertrophy followed by heart failure. Presently, echocardiography is the main imaging technique used to diagnose Mitral Stenosis. Despite the high prevalence and increased morbidity, no biochemical indicators are available for prediction, diagnosis and management of the disease. Adopting a proteomic approach to study Rheumatic Mitral Stenosis may therefore throw some light in this direction. In our study, we undertook plasma proteomics of human subjects suffering from Rheumatic Mitral Stenosis (n = 6) and Control subjects (n = 6). Six plasma samples, three each from the control and patient groups were pooled and subjected to low abundance protein enrichment. Pooled plasma samples (crude and equalized) were then subjected to in-solution trypsin digestion separately. Digests were analyzed using nano LC-MS(E). Data was acquired with the Protein Lynx Global Server v2.5.2 software and searches made against reviewed Homo sapiens database (UniProtKB) for protein identification. Label-free protein quantification was performed in crude plasma only.
resultsA total of 130 proteins spanning 9-192 kDa were identified. Of these 83 proteins were common to both groups and 34 were differentially regulated. Functional annotation of overlapping and differential proteins revealed that more than 50% proteins are involved in inflammation and immune response. This was corroborated by findings from pathway analysis and histopathological studies on excised tissue sections of stenotic mitral valves. Verification of selected protein candidates by immunotechniques in crude plasma corroborated our findings from label-free protein quantification.
conclusionsWe propose that this protein profile of blood plasma, or any of the individual proteins, could serve as a focal point for future mechanistic studies on Mitral Stenosis. In addition, some of the proteins associated with this disorder may be candidate biomarkers for disease diagnosis and prognosis. Our findings might help to enrich existing knowledge on the molecular mechanisms involved in Mitral Stenosis and improve the current diagnostic tools in the long run.
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