Scope and Article Types

International Journal of Lipids publishes methodological and applied research in lipid biology, lipidomics, and metabolic disease. Manuscripts should focus on quantitative and experimental approaches that advance lipid science.

Submissions may include original research, applied analyses, methodological innovations, or evidence syntheses that advance lipid practice.

Provide a clear lipid analysis plan, including assay conditions, calibration, and quality controls.

Explain how lipid classes were grouped for analysis.

If data access is restricted, describe approval processes and timelines.

Include quality assurance steps for instrument calibration.

Provide links to protocols or supplementary methods when available.

Manuscript Structure

Prepare manuscripts with structured abstract, introduction, methods, results, and discussion. Clearly link lipid methods to health outcomes.

Provide concise titles and keywords that reflect lipid focus and clinical relevance.

• Structured abstract with objectives and conclusions
• Clear methods with assay and model specifications
• Results with effect sizes and uncertainty
• Discussion of implications and limitations

For clinical lipid studies, report inclusion criteria and diagnostic thresholds explicitly.

Summarize limitations related to lipid measurement or cohort selection.

Describe sample storage temperatures and timing to support lipid stability assessment.

Report confidence intervals for key lipid effects.

Summarize practical implications for lipid focused guidelines or care.

Lipid Reporting Standards

Report assay conditions, calibration standards, and detection limits. Provide enough detail to enable replication and peer review.

Include code availability statements when feasible and specify software versions used in analysis.

• Validation of lipid quantification methods
• Handling of batch effects or normalization
• Sensitivity analyses for key assumptions
• Clear notation and variable definitions

Describe sampling design, blinding, and replication strategies for experimental work.

Clarify statistical thresholds used for lipid significance testing.

Include calibration standards and quality control materials for lipid assays.

When using animal models, specify strain, diet, and lipid outcome timing.

Data and Code Availability

We encourage sharing analytic code and documentation to support reproducibility and secondary analysis.

If data are restricted, describe the access request process and expected timelines.

When reporting lipidomics, include normalization, batch correction, and detection limits.

Describe how lipid outcomes were linked to clinical endpoints.

Document batch effects and correction methods for multi run lipidomics.

Describe tissue sources and sampling methods for lipid analyses.

Figures, Tables, and Supplements

Use tables and figures to summarize lipid outputs, uncertainty, and sensitivity analyses. Provide high resolution visuals with descriptive captions.

Supplementary files may include code, extended results, or additional validation data.

• Include units and scale for all lipid measures
• Label lipid classes and abbreviations in captions
• Ensure tables are interpretable without the main text

Include data availability statements or access pathways for restricted datasets.

Include a reproducibility statement covering software and packages.

Provide details on internal standards and extraction protocols.

Provide context for effect sizes in relation to clinical thresholds.

Formatting and References

Use consistent citation formatting and include DOIs where available. Reference lipid nomenclature standards when relevant.

Define abbreviations on first use and provide a short list of key terms if needed.

Cite datasets, preprints, and protocols with persistent identifiers when they inform your lipid analyses.

For randomized trials, report allocation concealment and interim analyses where applicable.

Clear lipid reporting improves interpretability for clinicians and metabolic researchers.

Summarize participant demographics to contextualize lipid findings.

Clarify whether analyses were preregistered or exploratory.

Ethics, Consent, and Registration

Human subject research should describe ethics approval, consent procedures, and any privacy safeguards used to protect participants. For clinical lipid trials, include registration identifiers and primary outcomes.

Animal studies must document ethical review, humane endpoints, and relevant reporting guidelines so methods are transparent and comparable.

When patient data are involved, describe de identification practices and data protection measures aligned with institutional or regional regulations.

• State IRB or ethics committee approvals
• Report trial registration when applicable
• Describe consent and privacy safeguards

Provide code or scripts so analytic pipelines can be replicated.

We encourage authors to document assay conditions so lipid measurements remain comparable.

Clarify fasting status or dietary controls when relevant to lipid measures.

Summarize limitations related to lipid measurement or sample size.

Statistical Reporting and Reproducibility

Report effect sizes, confidence intervals, and model diagnostics to support interpretation of lipid outcomes. Explain missing data handling and sensitivity analyses for key assumptions.

For lipidomics and multivariate models, describe feature selection, correction for multiple testing, and validation approaches that guard against overfitting.

Include sample size justification, power considerations, and clearly defined primary and secondary endpoints where applicable.

Use reporting guidelines such as CONSORT, STROBE, or PRISMA when relevant.

Transparent reporting of sample handling helps readers interpret lipid stability.

Report variability across cohorts or sites for multicenter lipid studies.

Explain the choice of statistical model for lipid outcome distributions.

Translational Context

Connect lipid findings to clinical or public health implications, especially when biomarkers may guide prevention or treatment strategies.

Explain how outcomes align with established lipid thresholds or clinical guidelines to help readers interpret relevance.

If applicable, describe pathways for translating lipid signals into diagnostic, monitoring, or policy applications.

Highlight practical implications for clinicians, nutritionists, or policymakers and note any implementation barriers.

Document variable definitions and transformation steps that influence lipid measures.

Summaries linking lipid outcomes to clinical relevance strengthen translation to care.

Describe statistical correction for multiple testing in lipidomics.

Report sensitivity analyses to test robustness of lipid findings.

Data Presentation and Reporting

Summarize key lipid outcomes with clear units, reference ranges, and definitions so results are interpretable across disciplines.

When reporting composite lipid indices or scores, explain component measures and provide rationale for their construction.

Use figure legends to clarify cohorts, analytical platforms, and statistical comparisons for lipid results.

Describe batch effects or calibration drift if they influence reported lipid measurements.

Include a brief statement on clinical relevance of lipid findings.

Define lipid classes and abbreviations clearly for multidisciplinary readers.

Explain how missing lipid values were handled during analysis.

Include discussion of sex or age differences in lipid outcomes when applicable.

Preprints and Prior Dissemination

Preprints are permitted. If a manuscript has been posted previously, disclose the preprint DOI and ensure the final article links back to the published version.

Declare any prior conference abstracts related to the lipid study.

Describe how lipid measurements were validated and cross checked.

When using lipidomics, report normalization and quality control procedures.

Provide a rationale for chosen lipid biomarkers or panels.

Describe any adjustments for medication use affecting lipid profiles.

Cover Letter and Declarations

Include a brief cover letter describing scope alignment, novelty, and any prior dissemination. Disclose funding sources and conflicts of interest to streamline editorial review.

Authors may suggest qualified reviewers with relevant lipid expertise and disclose any conflicts to avoid reviewer bias.

Provide guidance on quality control thresholds for lipid assays.

Provide uncertainty measures for key estimates when applicable.

Highlight how lipid findings inform prevention or therapeutic decisions.

Specify units and conversion factors used for lipid measures.

Submission Steps

Submit through ManuscriptZone or the Simple Submission Form. Both routes follow the same peer review workflow.

Include a cover letter summarizing scope alignment, lipid methods, and key findings.

• ManuscriptZone submission: https://oap.manuscriptzone.net/
• Simple submission form: https://openaccesspub.org/manuscript-submission-form

Report how dietary factors were controlled or recorded.

Explain how confounders were selected in observational lipid studies.

Discuss biological plausibility for lipid associations observed.

Note whether lipid panels were fasting or non fasting and justify.

After Acceptance

Accepted manuscripts undergo copyediting, layout, and proof review. Authors confirm accuracy before publication.

APC invoices are issued after acceptance. Publication proceeds after payment confirmation or approved waivers.

Include a brief statement on data provenance and sample handling.

Report software versions and packages to support reproducibility.

Describe how lipid ratios or indexes were calculated.

Discuss generalizability to broader populations or clinical settings.