2017
DOI: 10.1073/pnas.1705065114
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Continuous immunotypes describe human immune variation and predict diverse responses

Abstract: The immune system consists of many specialized cell populations that communicate with each other to achieve systemic immune responses. Our analyses of various measured immune cell population frequencies in healthy humans and their responses to diverse stimuli show that human immune variation is continuous in nature, rather than characterized by discrete groups of similar individuals. We show that the same three key combinations of immune cell population frequencies can define an individual's immunotype and pre… Show more

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Cited by 113 publications
(147 citation statements)
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“…In contrast, adult immune systems have previously been shown to be stable over the course of weeks, months and even a few years (Shen-Orr et al, 2016). At the same time, immune system composition in older individuals is more heterogeneous as compared to younger individuals (Kaczorowski et al, 2017) and a recent analysis even use such variability to estimate immunological age that is predictive of all-cause mortality and cardiovascular health (Alpert et al, 2019). Monozygotic twins diverge over time, suggesting a cumulative influence of environmental factors over the course of life shaping human immune systems.…”
Section: Discussionmentioning
confidence: 99%
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“…In contrast, adult immune systems have previously been shown to be stable over the course of weeks, months and even a few years (Shen-Orr et al, 2016). At the same time, immune system composition in older individuals is more heterogeneous as compared to younger individuals (Kaczorowski et al, 2017) and a recent analysis even use such variability to estimate immunological age that is predictive of all-cause mortality and cardiovascular health (Alpert et al, 2019). Monozygotic twins diverge over time, suggesting a cumulative influence of environmental factors over the course of life shaping human immune systems.…”
Section: Discussionmentioning
confidence: 99%
“…A comprehensive analysis of immune system variation requires the simultaneous analysis of many cell populations. Because each of these vary substantially among individuals, their collective frequencies are better metrics for accurately describing immune variation than each of the cell frequencies individually (Kaczorowski et al, 2017). We manually gated 115 immune cell populations in each sample, but because these are hierarchical in nature, we only included 53 non-redundant populations for compositional analyses.…”
Section: Describing Immune Variation Along a Principal Curvementioning
confidence: 99%
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“…For example, we have learned in recent years that human immune systems are predominantly shaped by by non-heritable factors such as Cytomegalovirus [2][3][4][5] , and that immune systems diverge with age as environmental exposures accumulate. We are also beginning to learn that baseline immune system states can be predictive of vaccine responses 3,6 , and response to immunomodulatory treatments 7 . During an immune response, for example in the context of immunotherapy of cancer, signatures of immune cell changes can predict clinical outcome 8 .…”
Section: Systems Immunology Involves Simultaneous Analyses Of All Immmentioning
confidence: 99%
“…This powerful method based on intranuclear staining of histones using metal‐tagged antibodies and analysis by mass cytometry revealed multiple novel chromatin marks differing between individual immune cell populations . Interestingly, the chromatin marks were predominantly driven by nonheritable influences and provide a mechanistic explanation for the previously described divergence of human immune profiles with cumulative environmental exposure over the course of life . The combination of histone marks with other immune cell markers, and even functional response readouts offers another layer of biological regulation to be captured by mass cytometry and promises to shed additional light on the complex regulation within the immune system and other systems consisting of multiple heterogeneous cell populations acting in concert.…”
Section: Profiling Of Epigenetic States In Individual Cells By Mass Cmentioning
confidence: 99%