Integrative Personal Omics Profiles during Periods of Weight Gain and Loss.
Level 3 - non-randomized controlled study
Non-randomized controlled longitudinal follow-up study with repeated measures
PubMed 29361466 · doi:10.1016/j.cels.2017.12.013
What was done
Controlled longitudinal weight perturbation study in humans combining multiple omics platforms (genomics, transcriptomics, proteomics assays, metabolomics, and microbiomics) sampled during sequential periods of weight gain and weight loss.
What was found
The abstract reports no numerical data, effect sizes, p-values, or baseline statistics. It qualitatively reports that weight gain activated inflammatory and hypertrophic cardiomyopathy signatures in blood. Some molecular changes reversed with weight loss, while other signatures persisted. Signatures associated with insulin resistance were observed, and specific individual biomolecules remained highly stable across perturbations.
Why it matters
Provides a high-resolution, multi-omics map of human weight perturbation, demonstrating that some molecular consequences of weight gain persist even after weight is lost.
Limits
The abstract omits sample size, participant demographics, the magnitude and duration of weight gain/loss, and all numerical data and statistical metrics.
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