Cited by 306Stress Responses and CortisolHealth disparities and outcomesTryptophan and brain disorders

Transcript origin analysis identifies antigen-presenting cells as primary targets of socially regulated gene expression in leukocytes

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Cole, Steven W., Hawkley, Louise C., Arevalo, Jesusa M. G., Cacioppo, John T.·2011·Proceedings of the National Academy of Sciences

Abstract

To clarify the biological rationale for social regulation of gene expression, this study sought to identify the specific immune cell types that are transcriptionally sensitive to subjective social isolation (loneliness). Using reference distributions for the expression of each human gene in each major leukocyte subtype, we mapped the cellular origin of transcripts found to be differentially expressed in the circulating immune cells from chronically lonely individuals. Loneliness-associated genes derived primarily from plasmacytoid dendritic cells, monocytes, and, to a lesser extent, B lymphocytes. Those dynamics reflected per-cell changes in the expression of inducible genes and related more strongly to the subjective experience of loneliness than to objective social network size. Evolutionarily ancient myeloid antigen-presenting cells appear to have evolved a transcriptional sensitivity to socioenvironmental conditions that may allow them to shift basal gene expression profiles to counter the changing microbial threats associated with hostile vs. affine social conditions.

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Crossref · 10.1073/pnas.1014218108

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  • Social isolation is related to the up-regulated expression of proinflammatory immune response genes and a reciprocal down-regulation of genes involved in antibody production.

    “Social isolation has also been related to the up-regulated expression of proinflammatory immune response genes and a reciprocal down-regulation of genes involved in antibody production”

    From From stress to inflammation and major depressive disorder: A social signal transduction theory of depression. (2014) · cites this paper as S. W. Cole, Hawkley, Arevalo, & Cacioppo, 2011

  • In socially isolated individuals, up-regulated genes included inflammation-related transcripts, while down-regulated transcripts were involved in Type I interferon innate antiviral responses and antibody production.

    “Genes up-regulated in socially isolated individuals included a set of transcripts that play a central role in inflammation (e.g., IL1B, IL8, PTGS2), whereas down-regulated transcripts were involved in Type I interferon innate antiviral responses (e.g., ISG, IFI, MX, and OAS family genes) and in antibody production (e.g., IGL, IGH, IGJ, and IGK) [5], [14], [15].”

    From Human Social Genomics (2014) · cites this paper as [15]

  • Genome-wide transcriptional profiling of leukocytes from chronically socially isolated people identified more than 200 genes with more than 50% difference in average expression relative to socially integrated people.

    “Genome-wide transcriptional profiling of leukocytes from people experiencing chronic social isolation identified >200 genes that showed >50% difference in average expression levels relative to those observed in socially integrated people [14], [15].”

    From Human Social Genomics (2014) · cites this paper as [15]

  • Bioinformatic decomposition of transcriptome shifts in heterogeneous leukocytes initially identified myeloid lineage immune cells such as monocytes and dendritic cells as the primary cellular mediators of CTRA transcriptome shifts.

    “Bioinformatic decomposition of transcriptome shifts in the heterogenous leukocyte population initially identified the primary cellular mediators of CTRA transcriptome shifts as myeloid lineage immune cells such as monocytes and dendritic cells [15].”

    From Human Social Genomics (2014) · cites this paper as [15]

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1 of the 60 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. Knipe DM, et al. (2007) Fields Virology (Lippincott Williams & Wilkins, Philadelphia).
  2. Wrzesinski S, Uhlenhake J, Fisher J, Ernstoff M (2008) Gene Expression Omnibus GSE11943: Human dendritic cell subtype gene arrays. Available at http://www.ncbi. nlm.nih.gov/projects/geo/query/acc.cgi?acc=GSE11943. Accessed December 1, 2010.

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Authors
Cole, S. W., Hawkley, L. C., Arevalo, J. M. G., & Cacioppo, J. T.
Affiliations
  • Division of Hematology-Oncology, Department of Medicine, University of California Los Angeles School of Medicine, Los Angeles, CA 90095-1678;
  • University of Chicago (US)
  • University of California, Los Angeles (US)
Venue
Proceedings of the National Academy of Sciences
Published
2011-02-07
Volume
108
Issue
7
Pages
3080-3085
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2115394480
Cited by
306
References
60
Citations by year
2026: 10 · 2025: 28 · 2024: 11 · 2023: 18 · 2022: 16 · 2021: 26 · 2020: 17 · 2019: 28 · 2018: 19 · 2017: 16 · 2016: 27 · 2015: 21 · 2014: 22 · 2013: 24 · 2012: 17
FWCI
8.66
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institute on Aging (P01AG018911, P01 AG19811, R37AG033590, R01AG034052, P30AG028748, R01AG033590)
  • National Cancer Institute (R01CA116778)
  • National Institute of Allergy and Infectious Diseases (R01 AI52737, R01AI052737)
  • National Center for Research Resources (P20RR020645)
Topics
  • Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
  • Social Sciences › Health › Health disparities and outcomes
  • Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
Keywords
social isolation, loneliness, gene expression, antigen-presenting cells, plasmacytoid dendritic cells, monocytes, B cells, leukocytes, transcriptional regulation, myeloid cells, social network size, microbial threats
MeSH terms
Antigen-Presenting Cells, Gene Expression Regulation, Humans, Leukocytes, Loneliness, Social Environment, Computational Biology, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Databases, Genetic

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