Deep Longitudinal Multiomics Profiling Reveals Two Biological Seasonal Patterns in California

Overview

Journal Nat Commun

Specialty Biology

Date 2020 Oct 2

PMID 33004787

Citations 22

Authors

M Reza Sailani

Ahmed A Metwally

Wenyu Zhou

Sophia Miryam Schussler-Fiorenza Rose

Sara Ahadi

Kevin Contrepois

Tejaswini Mishra

Martin Jinye Zhang

Lukasz Kidzinski

Theodore J Chu

Michael P Snyder

Affiliations

Soon will be listed here.

Abstract

The influence of seasons on biological processes is poorly understood. In order to identify biological seasonal patterns based on diverse molecular data, rather than calendar dates, we performed a deep longitudinal multiomics profiling of 105 individuals over 4 years. Here, we report more than 1000 seasonal variations in omics analytes and clinical measures. The different molecules group into two major seasonal patterns which 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. Lastly, we identify molecules and microbes that demonstrate different seasonal patterns in insulin sensitive and insulin resistant individuals. The results of our study have important implications in healthcare and highlight the value of considering seasonality when assessing population wide health risk and management.

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