Using more than 22,000 audio clips of speech sampled from the daily interactions of 143 adults, 25-56 years of age, researchers found that individual patterns of language use varied with individual differences in gene expression in circulating immune cells; additionally, the language patterns better predicted adversity-related gene expression profiles, compared with conventional self-reported measures of anxiety, depression, and stress.
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Article #17-07373: "Natural language indicators of differential gene regulation in the human immune system," by Matthias Mehl et al.
MEDIA CONTACT: Matthias Mehl, University of Arizona, Tucson, AZ; tel: 520-626-2374; e-mail: <mehl@email.arizona.edu>
Journal
Proceedings of the National Academy of Sciences