2021
DOI: 10.1101/2021.12.06.471383
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Age, sex, and social environmental effects on immune cell composition in a free-ranging non-human primate

Abstract: Aging results in declines in immune function and increases in inflammation, which underlie many age-related diseases. These immunosenescent signatures are similar to those seen in individuals exposed to social adversity, who may age more rapidly than those unexposed. Yet, it is unclear how social adversity alters immunity across demographic factors - data that are essential to identify how it might increase aging-related diseases. Here, we investigated how age, sex, and social adversity predicted immune cell p… Show more

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Cited by 4 publications
(10 citation statements)
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“…Therefore, this new model included both age and average-age as continuous covariates in the model (which is analogous to models which test for selective disappearance by including age and longevity in the same model; 37 ). If the coefficient of average age in Model B was “significantly” positive (or negative), it would indicate that the differences in sociality between young and old individuals are not exclusively driven by within-individual changes with age but that individuals with low (or high) levels of the social behavior of interest also selectively disappear from the population, leading to between-individual differences in behavior ( 15 , 36 ). The 95% credible intervals for the average-age term in Model B always overlapped zero (see SI Appendix , Tables S1–S4 and S7–S10 Model B ), meaning there was no evidence of selective disappearance driving age-related patterns in any of the models.…”
Section: Resultsmentioning
confidence: 99%
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“…Therefore, this new model included both age and average-age as continuous covariates in the model (which is analogous to models which test for selective disappearance by including age and longevity in the same model; 37 ). If the coefficient of average age in Model B was “significantly” positive (or negative), it would indicate that the differences in sociality between young and old individuals are not exclusively driven by within-individual changes with age but that individuals with low (or high) levels of the social behavior of interest also selectively disappear from the population, leading to between-individual differences in behavior ( 15 , 36 ). The 95% credible intervals for the average-age term in Model B always overlapped zero (see SI Appendix , Tables S1–S4 and S7–S10 Model B ), meaning there was no evidence of selective disappearance driving age-related patterns in any of the models.…”
Section: Resultsmentioning
confidence: 99%
“…In this population, older low-ranking females are more likely to be injured, which is strongly associated with increased mortality risk ( 48 ). Furthermore, low-ranking individuals exhibit greater increases in inflammatory cells with age ( 36 ). Thus, it is possible that older low-ranking females reduce their social integration more strongly with age to mitigate injury risk and the associated costs given their immune-compromised state.…”
Section: Discussionmentioning
confidence: 99%
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“…In this population, older low-ranking females are more likely to be injured, which is strongly associated with increased mortality risk (41). Furthermore, low-ranking individuals exhibit greater increases in inflammatory cells with age (42). Thus, it is possible that older low-ranking females reduce their social integration more strongly with age to mitigate injury risk and the associated costs given their immune-compromised state.…”
Section: Discussionmentioning
confidence: 99%