Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks. (28th November 2017)
- Record Type:
- Journal Article
- Title:
- Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks. (28th November 2017)
- Main Title:
- Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks
- Authors:
- Khan, Sikandar Hayat
Fazal, Nadeem
Gilani Shah, Athar Abbas
Manzoor, Syed Mohsin
Asif, Naveed
Ijaz, Aamir
Niazi, Najmusaqib Khan
Yasir, Muhammad - Other Names:
- Inazu Akihiro Academic Editor.
- Abstract:
- Abstract : Background . Recent literature in lipidology has identified LDL-fractions to be more atherogenic. In this regard, small density LDL-cholesterol (sdLDLc) has been considered to possess more atherogenicity than other LDL-fractions like large buoyant LDL-cholesterol (lbLDLc). Recently, Srisawasdi et al. have developed a method for calculating sdLDLc and lbLDLc based upon a regression equation. Using that in developing world may provide us with a valuable tool for ASCVD risk prediction. Objective .( 1 ) To correlate directly measured and calculated lipid indices with insulin resistance, UACR, glycated hemoglobin, anthropometric indices, and blood pressure.( 2 ) To evaluate these lipid parameters in subjects with or without metabolic syndrome, nephropathy, and hypertension and among various groups based upon glycated hemoglobin results. Design . Cross-sectional study . Place and Duration of Study . From Jan 2016 to 15 April 2017. Subjects and Methods . Finally enrolled subjects (male: 110, female: 122) were evaluated for differences in various lipid parameters, including measured LDL-cholesterol (mLDLc), HDLc and calculated LDL-cholesterol (cLDLc), non-HDLc, sdLDLC, lbLDLC, and their ratio among subjects with or without metabolic syndrome, nephropathy, glycation index, anthropometric indices, and hypertension. Results . Significant but weak correlation was mainly observed between anthropometric indices, insulin resistance, blood pressure, and nephropathy for non-HDLc,Abstract : Background . Recent literature in lipidology has identified LDL-fractions to be more atherogenic. In this regard, small density LDL-cholesterol (sdLDLc) has been considered to possess more atherogenicity than other LDL-fractions like large buoyant LDL-cholesterol (lbLDLc). Recently, Srisawasdi et al. have developed a method for calculating sdLDLc and lbLDLc based upon a regression equation. Using that in developing world may provide us with a valuable tool for ASCVD risk prediction. Objective .( 1 ) To correlate directly measured and calculated lipid indices with insulin resistance, UACR, glycated hemoglobin, anthropometric indices, and blood pressure.( 2 ) To evaluate these lipid parameters in subjects with or without metabolic syndrome, nephropathy, and hypertension and among various groups based upon glycated hemoglobin results. Design . Cross-sectional study . Place and Duration of Study . From Jan 2016 to 15 April 2017. Subjects and Methods . Finally enrolled subjects (male: 110, female: 122) were evaluated for differences in various lipid parameters, including measured LDL-cholesterol (mLDLc), HDLc and calculated LDL-cholesterol (cLDLc), non-HDLc, sdLDLC, lbLDLC, and their ratio among subjects with or without metabolic syndrome, nephropathy, glycation index, anthropometric indices, and hypertension. Results . Significant but weak correlation was mainly observed between anthropometric indices, insulin resistance, blood pressure, and nephropathy for non-HDLc, sdLDLc, and sdLDLc/lbLDLc. Generally lipid indices were higher among subjects with metabolic syndrome[ { sdLDLc: 0.92 + 0.33 versus 0.70 + 0.29 (p < 0.001 )}, { sdLDLc/lbLDLc: 0.55 + 0.51 versus 0.40 + 0.38 (p = 0.010 )}, { non-HDLc: 3, 63 + 0.60 versus 3.36 + 0.65 (p = 0.002 )} ] . The fact that the sdLDLc levels provided were insignificant in Kruskall Wallis Test indicated a sharp increase in subjects with HbA1c > 7.0%. Subjects having nephropathy (UACR > 2.4 mg/g) had higher concentration of non-HDLc levels in comparison to sdLDLc[ { non-HDLc: 3.68 + 0.59 versus 3.36 + 0.43} (p = 0.007 ), { sdLDLc: 0.83 + 0.27 versus 0.75 + 0.35 (p = N S )} ] . Conclusion . Lipid markers including cLDLc and mLDLc are less associated with traditional ASCVD markers than non-HDLc, sdLDLc, and sdLDLc/lbLDLc in predicting metabolic syndrome, nephropathy, glycation status, and hypertension. … (more)
- Is Part Of:
- Journal of lipids. Volume 2017(2017)
- Journal:
- Journal of lipids
- Issue:
- Volume 2017(2017)
- Issue Display:
- Volume 2017, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 2017
- Issue:
- 2017
- Issue Sort Value:
- 2017-2017-2017-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-11-28
- Subjects:
- Lipids -- Periodicals
Lipids
Lipids
Electronic journals
Periodicals
Periodicals
572.57 - Journal URLs:
- https://www.hindawi.com/journals/jl/ ↗
http://bibpurl.oclc.org/web/46473 ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/1492/ ↗ - DOI:
- 10.1155/2017/7967380 ↗
- Languages:
- English
- ISSNs:
- 2090-3030
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10656.xml