Over the span of four years, data showed that the late-spring period coincided with a rise in inflammatory biomarkers known to play a role in allergies, as well as a spike in molecules involved in rheumatoid arthritis and osteoarthritis. They also saw that a form of hemoglobin called HbAc1, a protein that signals risk for Type 2 diabetes, peaked during this time, and that the gene PER1, which is known to be highly involved in regulating the sleep-wake cycle, was also at its highest.
In some cases, Snyder said, it’s relatively obvious why levels of molecules increased. Inflammatory markers probably spike due to high pollen counts, for instance. But in other cases, it’s less obvious. Snyder and his team suspect that HbA1c levels are high in the late spring because of the often indulgent eating that accompanies the holidays — HbA1c levels reflect dietary habits from about three months before measurements are taken — as well as a general waning of exercise in the winter months.
As Snyder and his team followed the data into early winter, they saw an increase in immune molecules known to help fight viral infection and spikes of molecules involved in acne development. Signatures of hypertension, or high blood pressure, were also higher in the winter.
The data also showed that there were some unexpected differences in the microbiomes of individuals who were insulin resistant and those of individuals who processed glucose normally. Veillonella, a type of bacteria involved in lactic acid fermentation and the processing of glucose, was shown to be higher in insulin-resistant individuals throughout the year, except during mid-March through late June.
“Many of these findings open up space to investigate so many other things,” Sailani said. “Take allergies, for instance. We can track which pollens are circulating at specific times and pair that with personalized readouts of molecular patterns to see exactly what a person is allergic to.”
The hope is that more information about a person’s molecular ups and downs will allow them to better understand the context of their body’s biological swings and will enable them to use that information to proactively manage their health.
“If, for instance, your HbA1C levels are measured during the spring and they seem abnormally high, you can contextualize that result and know that this molecule tends to run high during spring,” Snyder said. “Or, you could see it as a sort of kick in the pants, so to speak, to exercise more during the winter in an effort to keep some of these measurements down.”
Even more broadly speaking, these findings could also help inform the design of drug trials. For example, if researchers are hoping to test a new drug for hypertension, they would likely benefit from knowing that because hypertension seems to spike in the early winter months, trials that started in winter versus spring would likely have different outcomes.
Other Stanford authors of the paper are former postdoctoral scholars Wenyu Zhou, PhD, Sara Ahadi, PhD, Tejaswini Mishra, PhD, and Lukasz Kidzinski, PhD; instructor of genetics Sophia Miryam Rose, MD, PhD; life science researcher Kevin Contrepois, PhD; graduate student Martin Zhang; and adjunct clinical assistant professor of pediatrics Theodore Chu, MD.
This study was funded by the National Institutes of Health (grants U54DK102556, R01 DK110186-03, R01HG008164, NIH S10OD020141, UL1 TR001085 and P30DK116074).