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Metabolites
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Lipid Biomarkers and Cardiometabolic Diseases—2nd Edition
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Lipid Biomarkers and Cardiometabolic Diseases—2nd Edition

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Lipid Metabolism".

Deadline for manuscript submissions: 28 February 2026 | Viewed by 2055

Special Issue Editor

Prof. Dr. Hyun Suk Yang

E-Mail Website
Guest Editor
Department of Cardiovascular Medicine, Konkuk University School of Medicine, Konkuk University Medical Center, Seoul, Republic of Korea
Interests: lipid biomarkers; HDL cholesterol; non-HDL cholesterol; remnant cholesterol; LDL cholesterol; triglyceride; cardiovascular diseases; metabolic diseases; disease models
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, entitled "Lipid Biomarkers and Cardiometabolic Diseases—2nd Edition", which follows the previous edition (https://www.mdpi.com/journal/metabolites/special_issues/MOLS0E76X3), aims to provide a comprehensive understanding of the role of lipid biomarkers in the development and progression of cardiometabolic diseases. This summary guides potential authors, outlining the Special Issue's focus, scope, and purpose based on current research interests and trends.

The overall focus of this Special Issue is to investigate the relationship between lipid biomarkers and cardiometabolic diseases. Lipid biomarkers encompass various components such as HDL cholesterol, non-HDL cholesterol, remnant cholesterol, LDL cholesterol, and triglycerides. This Special Issue unravels their associations with cardiovascular diseases, metabolic disorders, and related conditions.

One significant aspect of this topic’s research lies in exploring the values of advanced or sex-specific lipid profiles or the impact of different dietary factors, including low-fat and full-fat dairy foods, dietary fat, or n-3 polyunsaturated fatty acids, on cardiometabolic diseases. By analyzing specific lipid profiles and these dietary components, researchers can uncover their implications for lipid biomarkers and their influence in developing and managing cardiometabolic diseases. Researchers can enhance risk assessment and develop targeted interventions by examining the interplay between these factors and the occurrence of multiple cardiometabolic diseases, significantly noting whether these effects vary across different population groups, including in age- or sex-specific patterns.

In summary, this Special Issue aims to provide a comprehensive understanding of the role of lipid biomarkers in cardiometabolic diseases. By investigating the lipid metabolism and impacts of dietary factors and analyzing advanced lipid profiles, this research will contribute valuable insights into the prevention, diagnosis, and treatment of cardiometabolic diseases. Authors are encouraged to contribute their research findings to further enrich the understanding of lipid biomarkers and their implications in cardiometabolic health.

Prof. Dr. Hyun Suk Yang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • lipid profiles
  • lipid metabolism
  • cholesterol
  • dietary fat
  • cardiovascular diseases
  • metabolic diseases

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Related Special Issue

Published Papers (2 papers)

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Research

17 pages, 3479 KB  
Article
Selective Knockdown of Ceramide Synthases Reveals Opposite Roles of Different Ceramide Species in Cardiac Homeostasis
by Alexandra M. Wiley, Melissa A. Krueger, Jessica O. Becker, Matthew Karasu, Nona Sotoodehnia, Jason G. Umans, Andrew N. Hoofnagle, Sina A. Gharib, Rheem A. Totah and Rozenn N. Lemaitre
Metabolites 2025, 15(9), 584; https://doi.org/10.3390/metabo15090584 - 31 Aug 2025
Viewed by 432
Abstract
Background/Objectives: Sphingolipids are a class of lipids that play important structural and functional roles in the cell. Specific ceramide species are distinguishable through the fatty acid that is acylated to the sphingosine backbone, leading to distinct biological activities. Generally, long-chain (LC) ceramides (16:0 [...] Read more.
Background/Objectives: Sphingolipids are a class of lipids that play important structural and functional roles in the cell. Specific ceramide species are distinguishable through the fatty acid that is acylated to the sphingosine backbone, leading to distinct biological activities. Generally, long-chain (LC) ceramides (16:0 and 18:0) drive metabolic dysfunction resulting in the progression of different disease states, while very long-chain (VLC) ceramides (22:0 and 24:0) are thought to be either beneficial against disease progression or benign. In this study, we sought to alter the cellular composition of LC and VLC ceramides in ventricular HCMs to investigate how alterations in these lipids can affect the transcriptome of otherwise healthy HCMs. Methods: Here, we used specific siRNA to knockdown the ceramide synthases responsible for the production of LC and VLC ceramides in ventricular HCMs and investigated the changes in the transcriptome of HCMs with CERS2 or CERS5/6 silenced compared to control conditions. Results: Knocking down CERS2 led to an increase in cell death as well as widespread reductions in cellular VLC sphingolipids. Additionally, we demonstrated that VLC sphingolipid species may play a protective role in maintaining cardiovascular function and that reducing these lipids may contribute to cardiac dysfunction. Similarly, knocking down CERS5 and CERS6 led to reduced LC ceramides and also resulted in profound changes in gene transcription. Interestingly, multiple genes and pathways were affected in the opposite direction when compared to the changes observed with the CERS2 knockdown. Conclusions: Taken together, our results suggest pathways through which VLC ceramides may contribute to cardiac protection, and pathways where LC ceramides may promote HCM stress and the development of cardiac disease. Full article
(This article belongs to the Special Issue Lipid Biomarkers and Cardiometabolic Diseases—2nd Edition)
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13 pages, 1086 KB  
Article
The Validation of a Novel, Sex-Specific LDL-Cholesterol Equation and the Friedewald, Sampson-NIH, and Extended-Martin–Hopkins Equations Against Direct Measurement in Korean Adults
by Hyun Suk Yang, Soo-Nyung Kim, Seungho Lee and Mina Hur
Metabolites 2025, 15(1), 18; https://doi.org/10.3390/metabo15010018 - 5 Jan 2025
Viewed by 1268
Abstract
Background/Objectives: The currently established equations for calculating low-density lipoprotein cholesterol (LDLc) do not reflect the sex-specific differences in lipid metabolism. We aimed to develop a sex-specific LDLc equation (SSLE) and validate it with three established equations (Friedewald, Sampson-NIH, and ext-Martin–Hopkins) against direct [...] Read more.
Background/Objectives: The currently established equations for calculating low-density lipoprotein cholesterol (LDLc) do not reflect the sex-specific differences in lipid metabolism. We aimed to develop a sex-specific LDLc equation (SSLE) and validate it with three established equations (Friedewald, Sampson-NIH, and ext-Martin–Hopkins) against direct LDLc measurement in Korean adults. Methods: This study included 23,757 subjects (51% male; median age, 51 years) from the 2009–2022 Korean National Health and Nutrition Examination Survey. We developed the SSLE through multiple linear regression incorporating total cholesterol (TC), high-density lipoprotein cholesterol (HDLc), triglycerides (TG), and sex. The validation metrics included Bland–Altman analysis for mean absolute percentage error (MAPE) and agreement of the categorization based on the NCEP ATP-III guidelines, assessed by sex and lipid subgroups. Results: The derived SSLE equation was as follows: for TG < 200 mg/dL, LDLc = 0.963 × TC − 0.881 × HDLc − 0.111 × TG + 0.982 × Sex − 6.958; for TG ≥ 200 mg/dL, LDLc = 0.884 × TC − 0.646 × HDLc − 0.126 × TG + 3.742 × Sex − 3.214 (male = 1, female = 0). The MAPE was similar between males and females for the SSLE (4.6% for both) and ext-Martin–Hopkins (5.0% vs. 4.9%) but higher in males for the Sampson-NIH (5.4% vs. 4.9%) and Friedewald (7.6% vs. 5.7%). In the TG ≥ 400 mg/dL group, the MAPE increased progressively: SSLE (10.2%), ext-Martin–Hopkins (12.0%), Sampson-NIH (12.7%), and Friedewald (27.4%). In the LDLc < 70 mg/dL group, the MAPE was as follows: SSLE (8.0%), Sampson-NIH (8.6%), ext-Martin–Hopkins (9.7%), and Friedewald (12.8%). At TG 200–400 mg/dL, the SSLE revealed very good agreement (κ = 0.801) versus good agreement for other equations (ext-Martin–Hopkins κ = 0.794, Sampson-NIH κ = 0.782, Friedewald κ = 0.696). Conclusions: The novel SSLE demonstrated superior accuracy and agreement in Korean adults. Further validation studies across different ethnic populations are warranted. Full article
(This article belongs to the Special Issue Lipid Biomarkers and Cardiometabolic Diseases—2nd Edition)
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