Differential effects of multiplex and uniplex affiliative relationships on biomarkers of inflammation use asterix (*) to get italics

Jessica Vandeleest, Lauren J. Wooddell, Amy C. Nathman, Brianne A. Beisner, Brenda McCowanPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"

2022

<p>Social relationships profoundly impact health in social species. &nbsp;Much of what we know regarding the impact of affiliative social relationships on health in nonhuman primates (NHPs) has focused on the structure of connections or the quality of relationships. &nbsp;These relationships are often quantified by comparing different types of affiliative behaviors (e.g., contact sitting, grooming, alliances, proximity) or pooling affiliative behaviors into an overall measure of affiliation. &nbsp;The influence of the breadth of affiliative behaviors (e.g., how many different types or which ones) a dyad engages in on health and fitness outcomes remains unknown. Here we employed a social network approach to explicitly explore whether the integration of different affiliative behaviors within a relationship can point to the potential function of those relationships and their impact on health-related biomarkers (i.e., pro-inflammatory cytokines) in a commonly studied non-human primate model system, the rhesus macaque (Macaca mulatta). &nbsp;Being well connected in multiplex grooming networks (networks where individuals both contact sat and groomed), which were more modular and kin biased, was associated with lower inflammation (IL-6, TNF-alpha). In contrast, being well connected in uniplex grooming networks (dyad engaged only in grooming and not in contact sitting), which were more strongly linked with social status, was associated with greater inflammation. Results suggest that multiplex relationships may function as supportive relationships that promote health. In contrast, the function of uniplex grooming relationships may be more transactional and may incur physiological costs. This complexity is important to consider for understanding the mechanisms underlying the association of social relationships on human and animal health.&nbsp;</p>

https://www.biorxiv.org/content/10.1101/2022.11.01.514247v4You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://

https://www.biorxiv.org/content/10.1101/2022.11.01.514247v4You should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://

affiliation, Macaca mulatta, cytokines, inflammation

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Animal networks, Multilayer, multiplex or multilevel Networks

Erin P. Riley epriley@sdsu.edu, Noa Pinter-Wollman nmpinter@ucla.edu, Mason Porter mason@math.ucla.edu

e.g. John Doe john@doe.com

No need for them to be recommenders of PCI Network Sci. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct

2022-11-08 00:25:10

Cédric Sueur