Research Highlights: We See Four Seasons, But Our Body Only “Sees” Two


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We See Four Seasons, But Our Body Only “Sees” Two

  • The relationship between biological processes and the seasons is not well-understood.
  • Usually, seasonal patterns are identified using calendar dates.
  • Researchers used deep longitudinal multiomics profiling to identify biological seasonal patterns on diverse molecular data.
  • The study includes 105 individuals over the course of 4 years.
  • Multiomics is a biological analysis approach that uses different data which include the genome, proteome, transcriptome, epigenome, metabolome, and microbiome.
  • With multiomics, scientists can analyze complex biological data to find novel associations between biological entities, pinpoint relevant biomarkers and build elaborate markers of disease and physiology.
  • Researchers report more than 1000 seasonal variations in omics analytes and clinical measures.
  • Analyte is a chemical substance that is the subject of chemical analysis.
  • The different molecules group into two major seasonal patterns.
  • The two seasonal patterns correlate with peaks in late spring and late fall/early winter in California.
  • The two patterns are enriched for molecules involved in human biological processes such as inflammation, immunity, cardiovascular health, as well as neurological and psychiatric conditions.
  • Researchers also identify molecules and microbes that demonstrate different seasonal patterns in insulin sensitive and insulin resistant individuals.
  • The results suggest important implications in healthcare.
  • This study highlights the value of considering seasonality when assessing population wide health risk and management.

Sources:

Sailani, M.R., Metwally, A.A., Zhou, W. et al. Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California. Nat Commun 11, 4933 (2020). https://doi.org/10.1038/s41467-020-18758-1

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0857-9

https://doi.org/10.1016%2Fj.tibtech.2016.04.004

https://doi.org/10.1038%2Fnmicrobiol.2016.101

https://www.merriam-webster.com/dictionary/analyte

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3767513

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