Resources Overview

Editors have access to reviewer selection tools, decision templates, and policy updates.

Resources include reviewer selection guidance, decision templates, and policy updates.

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

Define lipid classes and abbreviations clearly for multidisciplinary readers.

Explain how confounders were selected in observational lipid studies.

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

Provide details on internal standards and extraction protocols.

Report variability across cohorts or sites for multicenter lipid studies.

Provide a rationale for chosen lipid biomarkers or panels.

Describe how lipid ratios or indexes were calculated.

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

Clarify whether analyses were preregistered or exploratory.

What You Receive

Support is available for complex cases and appeals.

Transparent reporting of sample handling helps readers interpret lipid stability.

When using lipidomics, report normalization and quality control procedures.

Report software versions and packages to support reproducibility.

Include calibration standards and quality control materials for lipid assays.

Summarize participant demographics to contextualize lipid findings.

Describe statistical correction for multiple testing in lipidomics.

Highlight how lipid findings inform prevention or therapeutic decisions.

Include quality assurance steps for instrument calibration.

Describe tissue sources and sampling methods for lipid analyses.

Summarize limitations related to lipid measurement or sample size.

Support Path

Clear lipid reporting improves interpretability for clinicians and metabolic researchers.

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

Provide uncertainty measures for key estimates when applicable.

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

Document batch effects and correction methods for multi run lipidomics.

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

Explain how missing lipid values were handled during analysis.

Discuss biological plausibility for lipid associations observed.

Report confidence intervals for key lipid effects.

Provide context for effect sizes in relation to clinical thresholds.