Current Themes

Ongoing special issues address emerging lipid science topics such as lipidomics, cardiometabolic risk, or nutritional lipid research.

Check call for papers announcements for active themes and deadlines.

Ongoing special issues highlight urgent topics in lipid research.

Transparent reporting of sample handling helps readers interpret lipid stability.

Provide uncertainty measures for key estimates when applicable.

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

Summarize participant demographics to contextualize lipid findings.

Explain how missing lipid values were handled during analysis.

Describe how lipid ratios or indexes were calculated.

Describe tissue sources and sampling methods for lipid analyses.

Explain the choice of statistical model for lipid outcome distributions.

Specify units and conversion factors used for lipid measures.

Participation

Align your manuscript with the theme and highlight its methodological contribution and applied relevance.

Early coordination with guest editors helps align timelines and review expectations.

Contact [email protected] for updates on active collections.

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

Explain how confounders were selected in observational lipid studies.

Include calibration standards and quality control materials for lipid assays.

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

Provide a rationale for chosen lipid biomarkers or panels.

Include quality assurance steps for instrument calibration.

Provide context for effect sizes in relation to clinical thresholds.

Report sensitivity analyses to test robustness of lipid findings.

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

Participation Steps

Clear lipid reporting improves interpretability for clinicians and metabolic researchers.

Define lipid classes and abbreviations clearly for multidisciplinary readers.

Report software versions and packages to support reproducibility.

Document batch effects and correction methods for multi run lipidomics.

Report variability across cohorts or sites for multicenter lipid studies.

Highlight how lipid findings inform prevention or therapeutic decisions.

Report confidence intervals for key lipid effects.

Clarify whether analyses were preregistered or exploratory.

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

Discuss generalizability to broader populations or clinical settings.

Contact

Email [email protected] for updates on current collections.

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

When using lipidomics, report normalization and quality control procedures.

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

Provide details on internal standards and extraction protocols.

Describe statistical correction for multiple testing in lipidomics.

Discuss biological plausibility for lipid associations observed.

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

Summarize limitations related to lipid measurement or sample size.

Describe any adjustments for medication use affecting lipid profiles.

Provide links to protocols or supplementary methods when available.