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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Pollen and molds are environmental allergens that are affected by climate change. As pollen and molds exhibit geographical variations, we sought to understand the impact of climate change (temperature, carbon dioxide (CO2), precipitation, smoke exposure) on common pollen and molds in the San Francisco Bay Area, one of the largest urban areas in the United States. When using time-series regression models between 2002 and 2019, the annual average number of weeks with pollen concentrations higher than zero increased over time. For tree pollens, the average increase in this duration was 0.47 weeks and 0.51 weeks for mold spores. Associations between mold, pollen and meteorological data (e.g., precipitation, temperature, atmospheric CO2, and area covered by wildfire smoke) were analyzed using the autoregressive integrated moving average model. We found that peak concentrations of weed and tree pollens were positively associated with temperature (p < 0.05 at lag 0–1, 0–4, and 0–12 weeks) and precipitation (p < 0.05 at lag 0–4, 0–12, and 0–24 weeks) changes, respectively. We did not find clear associations between pollen concentrations and CO2 levels or wildfire smoke exposure. This study’s findings suggest that spore and pollen activities are related to changes in observed climate change variables.

The objective of this double-blind trial was to evaluate the corticosteroid-sparing effect of azelastine in patients with chronic bronchial asthma. A total of 193 subjects received either 6 mg of azelastine twice per day or placebo (in a 2:1 ratio) in combination with beclomethasone dipropionate (6 to 16 inhalations per day). The number of daily inhalations of the corticosteroid was reduced until maximum reduction or elimination was achieved. Patients then entered a 12-wk maintenance period, during which patients were maintained on their lowest possible dose of inhaled corticosteroid. Compared with placebo, the azelastine group had a statistically significantly greater overall median reduction in inhaled corticosteroids (4.9 puffs/day for azelastine versus 3.1 puffs/day for placebo; p < or = 0.010) during the maintenance period. The azelastine group also had a statistically significantly higher percentage of patients with reductions of > or = 50% and > or = 75% from the baseline level (53 and 31%, respectively, for azelastine versus 34 and 14%, respectively, for placebo; p < or = 0.028). The results demonstrated that azelastine, 6 mg twice per day, can reduce the need for inhaled corticosteroids in patients with chronic bronchial asthma and not lead to a deterioration in pulmonary function.

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