International Journal of Lipids - Call for Papers
Advancing lipid science for metabolic and cardiovascular health.
Call for Papers
International Journal of Lipids invites submissions that advance lipid biology, lipidomics, and metabolic disease research. We welcome original research, reviews, and applied studies that improve understanding of lipid pathways and their clinical relevance.
Priority is given to rigorous, reproducible analyses with clear explanations of methods and practical implications for cardiovascular and metabolic health.
We welcome interdisciplinary submissions that connect lipid science with nutrition, endocrinology, and translational medicine.
Studies that integrate lipid profiling with clinical endpoints, real world evidence, or translational models are especially valued for their impact on prevention and therapy.
We welcome submissions that advance lipidomics, lipid signaling, and metabolic disease research.
We value studies addressing lipid related health disparities and population outcomes.
Define lipid classes and abbreviations clearly for multidisciplinary readers.
Include calibration standards and quality control materials for lipid assays.
Explain how missing lipid values were handled during analysis.
When using animal models, specify strain, diet, and lipid outcome timing.
Include discussion of sex or age differences in lipid outcomes when applicable.
Priority Themes
We welcome contributions across the lipid research spectrum, including:
- Lipidomics workflows, analytical platforms, and biomarker discovery
- Cholesterol metabolism, lipoprotein dynamics, and atherosclerosis
- Fatty acid signaling, lipid transport, and membrane biology
- Adipose tissue biology, metabolic syndrome, and diabetes
- Therapeutic development targeting lipid pathways
- Nutrition and dietary lipid impacts on health outcomes
Authors should clearly describe sample preparation, lipid extraction, and analytical platforms.
Comparative studies of lipid assays or platforms are welcomed.
When using lipidomics, report normalization and quality control procedures.
Document batch effects and correction methods for multi run lipidomics.
Provide a rationale for chosen lipid biomarkers or panels.
Describe tissue sources and sampling methods for lipid analyses.
Describe any adjustments for medication use affecting lipid profiles.
Article Types
Original Research
Experimental and clinical studies with clear lipid science contributions.
Systematic Reviews
Evidence syntheses on lipid metabolism, biomarkers, or therapeutics.
Methods and Tools
Analytical pipelines, assays, and computational models with validation.
Data Notes
High value lipid datasets with documentation for reuse.
Studies linking lipid profiles to cardiovascular risk or metabolic outcomes are especially valued.
Short translational reports that connect lipid findings to therapy are considered.
Provide uncertainty measures for key estimates when applicable.
Provide details on internal standards and extraction protocols.
Highlight how lipid findings inform prevention or therapeutic decisions.
Provide context for effect sizes in relation to clinical thresholds.
Specify units and conversion factors used for lipid measures.
Publishing Journey
Submit
Choose ManuscriptZone or the simple submission form and upload complete files.
Editorial Check
Scope fit and methodological readiness are assessed quickly.
Peer Review
Independent reviewers evaluate lipid methodology and transparency.
Publish
Accepted papers move into production with DOI and indexing preparation.
Methodological papers should include worked examples with practical guidance for lipid researchers.
Clear lipid reporting improves interpretability for clinicians and metabolic researchers.
Explain how confounders were selected in observational lipid studies.
Summarize participant demographics to contextualize lipid findings.
Discuss biological plausibility for lipid associations observed.
Clarify whether analyses were preregistered or exploratory.
Note whether lipid panels were fasting or non fasting and justify.
Methodological Expectations
Submissions should describe sample preparation, assay conditions, and analytical methods transparently. Provide sufficient detail for replication and peer review scrutiny.
When possible, include code or supplemental materials to support reproducibility.
- Clear model assumptions and diagnostics
- Validated lipid quantification and calibration procedures
- Sensitivity analyses for key assumptions
- Transparent data preprocessing steps
Please include reproducibility notes and code availability statements whenever feasible.
We encourage authors to document assay conditions so lipid measurements remain comparable.
Report software versions and packages to support reproducibility.
Clarify fasting status or dietary controls when relevant to lipid measures.
Describe how lipid ratios or indexes were calculated.
Summarize limitations related to lipid measurement or sample size.
Discuss generalizability to broader populations or clinical settings.
Why Publish in IJL
Open Access Reach
Lipid research is accessible to clinicians, nutritionists, and policy teams worldwide.
Specialist Visibility
Indexed metadata improves discoverability across lipid and biomedical platforms.
Community Focus
Engage with researchers advancing lipid metabolism and therapeutics.
Interdisciplinary submissions connecting lipid science with clinical outcomes are encouraged.
Transparent reporting of sample handling helps readers interpret lipid stability.
If data access is restricted, describe approval processes and timelines.
Report variability across cohorts or sites for multicenter lipid studies.
Include quality assurance steps for instrument calibration.
Explain the choice of statistical model for lipid outcome distributions.
Provide links to protocols or supplementary methods when available.
Submission Routes
Both submission routes receive the same editorial review and production standards.
- ManuscriptZone submission: https://oap.manuscriptzone.net/
- Simple submission form: https://openaccesspub.org/manuscript-submission-form
Submissions that integrate lipid biology with nutrition or endocrinology are encouraged.
Summaries linking lipid outcomes to clinical relevance strengthen translation to care.
Describe sample storage temperatures and timing to support lipid stability assessment.
Describe statistical correction for multiple testing in lipidomics.
Report confidence intervals for key lipid effects.
Report sensitivity analyses to test robustness of lipid findings.
Submit Your Manuscript
Share lipid science that improves prevention, diagnosis, and therapy.