Topic Editors

1. Diabetes Center, First Department of Propaedeutic Internal Medicine, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
2. Department of Pharmacology, National and Kapodistrian University of Athens, 11527 Athens, Greece
Department of Pharmacology, National and Kapodistrian University of Athens, 11527 Athens, Greece

Lipid Metabolism in Human Health and Diseases

Abstract submission deadline
30 April 2027
Manuscript submission deadline
30 June 2027
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1394

Topic Information

Dear Colleagues,

Lipid metabolism plays a central role in maintaining cellular homeostasis and energy balance, and its dysregulation is a hallmark of numerous human diseases. From cardiovascular disorders and kidney-liver health to neurodegenerative conditions and cancer, altered lipid handling contributes significantly to disease pathogenesis and progression.

This Topic aims to provide a comprehensive overview of current advances in understanding the molecular and cellular mechanisms governing lipid metabolism in health and disease. Particular emphasis is placed on pathways regulating lipid synthesis, transport, storage, and degradation, as well as their integration with systemic metabolic networks. In addition to mechanistic insights, this issue seeks to highlight translational and clinical perspectives, including biomarker discovery, therapeutic targeting of lipid pathways, and precision medicine approaches.

We welcome original research and review articles exploring these themes and contributing to the advancement of this dynamic field.

Dr. Dimitris Kounatidis
Dr. Iordanis Mourouzis
Topic Editors

Keywords

  • lipids
  • diabetes
  • cancer
  • neurogenerative diseases
  • obesity
  • human diseases
  • molecular pathways
  • biomarkers
  • therapeutics
  • "sex differences" in lipid metabolism

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Biomedicines
biomedicines
4.5 7.8 2013 18.2 Days CHF 2600 Submit
Biomolecules
biomolecules
5.6 9.3 2011 16.6 Days CHF 2700 Submit
International Journal of Molecular Sciences
ijms
5.6 10.0 2000 17.5 Days CHF 2900 Submit
Life
life
3.9 7.1 2011 15.3 Days CHF 2600 Submit
Lipidology
lipidology
- - 2024 19.8 Days CHF 1000 Submit
Metabolites
metabolites
4.5 8.1 2011 12.6 Days CHF 2700 Submit
Nutrients
nutrients
5.8 10.2 2009 15.8 Days CHF 2900 Submit

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Published Papers (2 papers)

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26 pages, 3107 KB  
Review
Secretion Patterns of Leptin: A Key Component in the Regulation of Energy Homeostasis and Its Therapeutic Applications
by Chen Wang and Xianglu Rong
Biomolecules 2026, 16(7), 1031; https://doi.org/10.3390/biom16071031 - 14 Jul 2026
Viewed by 413
Abstract
Leptin is the oldest studied adipokine, and its mechanism of action in the regulation of energy metabolism remains a hot topic of current research. In this paper, we systematically review the progress of clinical and basic research on leptin and energy metabolism from [...] Read more.
Leptin is the oldest studied adipokine, and its mechanism of action in the regulation of energy metabolism remains a hot topic of current research. In this paper, we systematically review the progress of clinical and basic research on leptin and energy metabolism from 1994 to 2026. It is shown that leptin can regulate the energy metabolism homeostasis through autocrine, paracrine and neurohumoral pathways (e.g., hypothalamic–leptin–melanocortin axis). In addition, the effects of mainstream weight loss strategies such as dietary control, pharmacological interventions and exercise on leptin levels, and their underlying mechanisms were investigated in this paper, with the aim of providing a theoretical basis for the clinical application of leptin in metabolic diseases (e.g., obesity, diabetes mellitus). Future studies need to further clarify the molecular mechanisms of leptin resistance and explore precise intervention strategies based on the leptin signaling pathway. Full article
(This article belongs to the Topic Lipid Metabolism in Human Health and Diseases)
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11 pages, 419 KB  
Article
The Interaction Between HDL-C Level and HNF4A rs4812829 on Incident Type 2 Diabetes Risk in a Chinese Cohort
by Haodong Zhang, Yixin Li, Yinxi Tan, Huangda Guo, Hexiang Peng, Yi Zheng, Yiqun Wu, Xueying Qin, Tao Wu, Dafang Chen, Yonghua Hu and Mengying Wang
Nutrients 2026, 18(14), 2270; https://doi.org/10.3390/nu18142270 - 11 Jul 2026
Viewed by 241
Abstract
Background/Objectives: To evaluate the association between HNF4A rs4812829 and type 2 diabetes (T2D) in a rural Chinese population and to investigate its interaction with blood lipids in the association. Methods: A total of 4496 participants free of diabetes at baseline from [...] Read more.
Background/Objectives: To evaluate the association between HNF4A rs4812829 and type 2 diabetes (T2D) in a rural Chinese population and to investigate its interaction with blood lipids in the association. Methods: A total of 4496 participants free of diabetes at baseline from a family-based cohort in rural China were included. Demographic, lifestyle, and medical history data were collected via standardized questionnaires. Anthropometric and biochemical measurements were performed using standardized protocols and automated assays on fasting blood samples. Mixed-effects Cox proportional hazards models, accounting for familial clustering, were employed to examine the association between HNF4A rs4812829 and incident T2D risk. Additionally, multiplicative interaction terms were used to assess interactions. Results: After a median follow-up of 10.76 years, 895 incident T2D cases were identified. Under an additive genetic model, each additional G allele of rs4812829 was significantly associated with an increased risk of T2D (HR 1.38, 95% CI 1.19–1.59). A significant multiplicative interaction was observed between rs4812829 and HDL-C (p = 0.004). In genotype-stratified analyses, higher HDL-C levels were strongly associated with lower T2D risk among AA homozygotes (HR 0.04, 95% CI 0.003–0.43) and AG heterozygotes (HR 0.30, 95% CI 0.10–0.84), but not among GG homozygotes (HR 1.32, 95% CI 0.35–4.91). Conclusions: This study finds HNF4A intronic variant rs4812829 is significantly associated with the incident T2D risk in a rural Chinese population, and this association exhibits an interaction with HDL-C levels. These findings support further investigation of HNF4A-related lipid pathways and require replication in independent Chinese and multi-ancestry cohorts before genetic and lipid profiles can be considered for T2D risk stratification. Full article
(This article belongs to the Topic Lipid Metabolism in Human Health and Diseases)
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