Anna Wolska

Dr. Anna Wolska

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 December 2017 in Atherosclerosis
Verified
Journal Article
Closed access
AWAnna Wolska
Anna Wolska
RDRichard L. Dunbar
Richard L. Dunbar
LFLita A Freeman
Lita A Freeman
MUMasako Ueda
Masako Ueda
MAMarcelo J. Amar
Marcelo J. Amar
ARAlan T. Remaley
Alan T. Remaley

19 April 2021 in Clinical Chemistry
Verified
Journal Article
Open access
PDF file
MSMaureen Sampson
Maureen Sampson
AWAnna Wolska
Anna Wolska
RWRussell Warnick
Russell Warnick
DLDiego Lucero
Diego Lucero
ARAlan T Remaley
Alan T Remaley
Increased small dense low-density lipoprotein-cholesterol (sdLDL-C) is a risk factor for atherosclerotic cardiovascular disease (ASCVD) but typically requires advanced lipid testing. We describe two new equations, first one for calculating large buoyant LDL-C (lbLDL-C), based only upon results from the standard lipid panel, and the second one for sdLDL-C. Equations for sdLDL-C and lbLDL-C were generated with least-squares regression analysis using the direct Denka sdLDL-C assay as reference (n = 20 171). sdLDL-C was assessed as a risk-enhancer test in the National Heart and Nutrition Examination Survey (NHANES), and for its association with ASCVD in the Multi-Ethnic Study of Atherosclerosis (MESA). The newly derived equations depend on two terms, namely LDL-C as determined by the Sampson equation, and an interaction term between LDL-C and the natural log of triglycerides (TG). The lbLDL-C equation (⁠ lbLDLC=1.43 × LDLC-0.14 ×(ln⁡(TG)× LDLC)- 8.99) was more accurate (R2 = 0.933, slope = 0.94) than the sdLDL-C equation (⁠ sdLDLC=LDLC- lbLDLC⁠; R2 = 0.745, slope = 0.73). Using the 80th percentile (46 mg/dL) as a cut-point, sdLDL-C identified in NHANES additional high-risk patients not identified by other risk-enhancer tests based on TG, LDL-C, apolipoprotein B, and nonHDL-C. By univariate survival-curve analysis, estimated sdLDL-C was superior to other risk-enhancer tests in predicting ASCVD events in MESA. After multivariate adjustment for other known ASCVD risk factors, estimated sdLDL-C had the strongest association with ASCVD compared to other lipid parameters, including measured sdLDL-C. Estimated sdLDL-C could potentially be calculated on all patients tested with a standard lipid panel to improve ASCVD risk stratification.

1 July 2020 in Current Opinion in Cardiology
Verified
Journal Article
Closed access
AWAnna Wolska
Anna Wolska
ARAlan T. Remaley
Alan T. Remaley
Purpose of review: Cholesterol on low-density lipoproteins (LDL-C) is one of the main drivers of atherosclerotic cardiovascular disease (ASCVD) and hence its measurement is critical in the management of patients at risk. Although LDL-C has routinely been either calculated by the Friedewald equation or measured with direct assays, these methods have limitations, particularly for patients with dyslipidaemias, low LDL-C, and hypertriglyceridemia. The focus of this review will be recent advances in the measurement of LDL for ASCVD risk management. Recent findings: We first describe the recent recommendations on how LDL-C is used in ASCVD risk assessment and management. We then review the current approaches to the measurement of LDL-C and recent developments on new more accurate equations for calculating LDL-C. Finally, we present new and emerging LDL assays that may be superior to LDL-C for risk assessment, such as LDL particle number and small dense LDL-C, and several LDL-based lipid tests in early development. Summary: LDL-C is valuable in ASCVD risk management but recent improvements in its measurement and the development of other LDL-related tests may further improve its value.

29 January 2020 in Science Translational Medicine
Verified
Journal Article
Closed access
AWAnna Wolska
Anna Wolska
LLLarry Lo
Larry Lo
DSDenis O. Sviridov
Denis O. Sviridov
MPMohsen Pourmousa
Mohsen Pourmousa
MPMilton Pryor
Milton Pryor
ARAlan Remaley
Alan Remaley
An apolipoprotein C-II peptide mimetic for the treatment of hypertriglyceridemia activates lipoprotein lipase and blocks apolipoprotein C-III.

8 March 2021 in Cells
Verified
Journal Article
Open access
PDF file
AWAnna Wolska
Anna Wolska
MRMart Reimund
Mart Reimund
DSDenis O. Sviridov
Denis O. Sviridov
MAMarcelo J. Amar
Marcelo J. Amar
ARAlan Remaley
Alan Remaley
Since the seminal breakthrough of treating diabetic patients with insulin in the 1920s, there has been great interest in developing other proteins and their peptide mimetics as therapies for a wide variety of other medical disorders. Currently, there are at least 60 different peptides that have been approved for human use and over 150 peptides that are in various stages of clinical development. Peptides mimetic of the major proteins on lipoproteins, namely apolipoproteins, have also been developed first as tools for understanding apolipoprotein structure and more recently as potential therapeutics. In this review, we discuss the biochemistry, peptide mimetics design and clinical trials for peptides based on apoA-I, apoE and apoC-II. We primarily focus on applications of peptide mimetics related to cardiovascular diseases. We conclude with a discussion on the limitations of peptides as therapeutic agents and the challenges that need to be overcome before apolipoprotein mimetic peptides can be developed into new drugs.

1 June 2020 in Current Opinion in Lipidology
Verified
Journal Article
Closed access
AWAnna Wolska
Anna Wolska
MRMart Reimund
Mart Reimund
ARAlan T. Remaley
Alan T. Remaley
Purpose of review: Apolipoprotein C-II (apoC-II) is a critical cofactor for the activation of lipoprotein lipase (LPL), a plasma enzyme that hydrolyzes triglycerides (TG) on TG-rich lipoproteins (TRL). Although apoC-II was first discovered nearly 50 years ago, there is renewed interest in it because of the recent efforts to develop new drugs for the treatment of hypertriglyceridemia (HTG). The main topic of this review will be the development of apoC-II mimetic peptides as a possible new therapy for cardiovascular disease. Recent findings: We first describe the biochemistry of apoC-II and its role in TRL metabolism. We then review the clinical findings of HTG, particularly those related to apoC-II deficiency, and how TG metabolism relates to the development of atherosclerosis. We next summarize the current efforts to develop new drugs for HTG. Finally, we describe recent efforts to make small synthetic apoC-II mimetic peptides for activation of LPL and how these peptides unexpectedly have other mechanisms of action mostly related to the antagonism of the TG-raising effects of apoC-III. Summary: The role of apoC-II in TG metabolism is reviewed, as well as recent efforts to develop apoC-II mimetic peptides into a novel therapy for HTG.