The DOI matches its Crossref record; 284 of the 284 references it cites were found in a registry or an index.
Emerging Risk Biomarkers in Cardiovascular Diseases and Disorders
Open accessAbstract
Present review article highlights various cardiovascular risk prediction biomarkers by incorporating both traditional risk factors to be used as diagnostic markers and recent technologically generated diagnostic and therapeutic markers. This paper explains traditional biomarkers such as lipid profile, glucose, and hormone level and physiological biomarkers based on measurement of levels of important biomolecules such as serum ferritin, triglyceride to HDLp (high density lipoproteins) ratio, lipophorin-cholesterol ratio, lipid-lipophorin ratio, LDL cholesterol level, HDLp and apolipoprotein levels, lipophorins and LTPs ratio, sphingolipids, Omega-3 Index, and ST2 level. In addition, immunohistochemical, oxidative stress, inflammatory, anatomical, imaging, genetic, and therapeutic biomarkers have been explained in detail with their investigational specifications. Many of these biomarkers, alone or in combination, can play important role in prediction of risks, its types, and status of morbidity. As emerging risks are found to be affiliated with minor and microlevel factors and its diagnosis at an earlier stage could find CVD, hence, there is an urgent need of new more authentic, appropriate, and reliable diagnostic and therapeutic markers to confirm disease well in time to start the clinical aid to the patients. Present review aims to discuss new emerging biomarkers that could facilitate more authentic and fast diagnosis of CVDs, HF (heart failures), and various lipid abnormalities and disorders in the future.
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C-reactive protein, fibrinogen, and cardiovascular disease prediction
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Inflammation and Cardiovascular Disease: From Pathogenesis to Therapeutic Target
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Prognostic Utility of Novel Biomarkers of Cardiovascular Stress: The Framingham Heart Study
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Metadata
- Authors
- Upadhyay, R. K.
- Venue
- Journal of Lipids
- Publisher
- Hindawi Limited
- Published
- 2015
- Volume
- 2015
- Pages
- 1-50
- ISSN
- 2090-3030 (ISSN-L)
- 2090-3049
- OpenAlex
- W2001157090
- Cited by
- 360
- References
- 284
- FWCI
- 25.15
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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