For authors
Use the checklist when planning and reporting a manuscript to ensure that critical design, laboratory, computational, and statistical details are described.
STROBE-MetEpi provides a structured checklist for reporting observational studies that use metabolomic profiling in human populations, from study design and biospecimen handling to statistical analysis, biological interpretation, and data sharing.
Metabolomic epidemiology has expanded rapidly, but published studies often provide insufficient detail for readers, reviewers, and editors to assess the study design, biospecimen handling, analytical workflows, sources of bias, robustness of findings, and reproducibility. STROBE-MetEpi was developed to improve completeness and transparency in the reporting of this interdisciplinary field.
Use the checklist when planning and reporting a manuscript to ensure that critical design, laboratory, computational, and statistical details are described.
Use the checklist to assess whether the report contains enough information to appraise validity, reproducibility, interpretation, and generalisability.
Encourage authors to submit a completed STROBE-MetEpi checklist as supplementary material alongside relevant observational metabolomics manuscripts.
STROBE-MetEpi is a reporting guideline, not a manual for how to conduct a study. It is intended for observational studies in human populations using high-dimensional metabolomic profiling, including exploratory metabolome-wide analyses and hypothesis-driven or replication studies.
The checklist follows the typical flow of a metabolomic epidemiology study and makes visible the decisions that are often implicit or underreported.
Setting, eligibility, covariates, participant selection.
Sample type, timing, conditions, storage and handling.
MS or NMR instrumentation, analytical method, acquisition.
Software, parameters, metabolite identification, QA/QC.
Models, missing data, multiple testing, validation.
Pathway analysis, uncertainty, generalisability and limitations.
The table below provides a concise website view of the main checklist domains. The full checklist should be used when preparing, reviewing, or editing a manuscript.
| Section | Items | What should be reported |
|---|---|---|
| Title / Abstract | 1 | Identify the work as metabolomic epidemiology; state design, analytical technology, biospecimen, and study size. |
| Introduction | 2–3 | Explain the scientific background, rationale for metabolomic data, objectives, and whether the study is exploratory, hypothesis-driven, or a replication effort. |
| Methods | 4–18 | Report study design, setting, participants, sample collection, storage, pre-analytical processing, instrumentation, data processing, identification or annotation, QA/QC, transformation and scaling, missing data, statistical modelling, false-positive control, validation, and pathway analyses. |
| Results | 19–24 | Report participant flow, exclusions, metabolite counts and annotation status, descriptive data, single-metabolite results, multiple-metabolite models, validation statistics, and pathway or metabolite-set enrichment results. |
| Discussion | 25–28 | Summarise key results, discuss limitations and sources of bias, interpret findings cautiously, and address generalisability. |
| Other information | 29–31 | Describe funding, conflicts of interest, metabolomic data availability, and code sharing. |
The STROBE-MetEpi website should make the checklist easy to download, explain the rationale for each item, and provide examples of transparent reporting.
Overview paper introducing the reporting guideline and the 31-item checklist.
Detailed rationale, explanations, and published examples for each checklist item. The E & E is presented as a single integrated resource.
A fillable checklist for authors to complete and submit with manuscripts.
Examples of clear reporting for biospecimen handling, instrumentation, metabolite annotation, QA/QC, statistical analysis, and interpretation.
Metabolomic epidemiology is evolving quickly. STROBE-MetEpi should therefore be maintained as a living community resource, with feedback from authors, reviewers, editors, metabolomics specialists, epidemiologists, statisticians, and readers.
Invite comments on checklist wording, missing items, and field-specific challenges.
Provide guidance for journals wishing to recommend or require the checklist.
Track revisions, translations, publications, and implementation resources.