Who Should Apply

Researchers with expertise in lipid biology, lipidomics, or metabolic disease are encouraged to register.

Reviewers with expertise in lipid biochemistry or metabolism are encouraged to apply.

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.

Matching Areas

Provide subject keywords and methodological strengths to support manuscript matching.

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.

Registration Details

Provide subject keywords, methodological strengths, and recent publications to support manuscript matching.

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.

Registration Steps

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.