Using Wearable Technology to Track the Impact of Activity and Diet on Peripheral Blood Immune Cell Phenotypes 9246

Abstract Description Cellular immune responses are critical for protection from environmental and genetic insults, including pathogens and cancer. However, immunity can also drive pathogenic responses that damage organs and drive pathogenesis. Immune response quality is influenced by several factors including genetics, age, sex and the environment. Environmental influences including everyday activities and lifestyle have been shown to modulate the immune system but are often difficult to monitor. We have developed a system of serial monitoring of peripheral blood mononuclear cells that coincided with wearable device activity monitoring to further understand how biometric data correlates with the composition of blood derived immune cells. Using a 31-marker CyTOF phenotyping panel we monitored blood derived immune cell composition over a 14-week period in an individual volunteer while biometric data was collected via wearable technology. To determine whether interventions can be introduced that change peripheral blood immune cell phenotypes our volunteer introduced lifestyle changes at specific intervals in this period of monitoring. These included intermittent fasting and the introduction of regular exercise. In addition, the individual was immunized against COVID-19 during this time to provide an immune challenge that would perturb immune homeostasis. In this study, we find that lifestyle changes can promote alterations in immune cell phenotypes identified using high parameter mass cytometry. Topic Categories Translational and Interventional Immunology (TI)

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Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.2672
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

Using Wearable Technology to Track the Impact of Activity and Diet on Peripheral Blood Immune Cell Phenotypes 9246

Jonas Paludo, José C. Villasboas, Kevin D. Pavelko, Louis Faust
The Journal of Immunology
Single-cell and spatial transcriptomics
article

Using Wearable Technology to Track the Impact of Activity and Diet on Peripheral Blood Immune Cell Phenotypes 9246

Jonas Paludo, José C. Villasboas, Kevin D. Pavelko, Louis Faust
article en

Abstract

Abstract Description Cellular immune responses are critical for protection from environmental and genetic insults, including pathogens and cancer. However, immunity can also drive pathogenic responses that damage organs and drive pathogenesis. Immune response quality is influenced by several factors including genetics, age, sex and the environment. Environmental influences including everyday activities and lifestyle have been shown to modulate the immune system but are often difficult to monitor. We have developed a system of serial monitoring of peripheral blood mononuclear cells that coincided with wearable device activity monitoring to further understand how biometric data correlates with the composition of blood derived immune cells. Using a 31-marker CyTOF phenotyping panel we monitored blood derived immune cell composition over a 14-week period in an individual volunteer while biometric data was collected via wearable technology. To determine whether interventions can be introduced that change peripheral blood immune cell phenotypes our volunteer introduced lifestyle changes at specific intervals in this period of monitoring. These included intermittent fasting and the introduction of regular exercise. In addition, the individual was immunized against COVID-19 during this time to provide an immune challenge that would perturb immune homeostasis. In this study, we find that lifestyle changes can promote alterations in immune cell phenotypes identified using high parameter mass cytometry. Topic Categories Translational and Interventional Immunology (TI)

The Journal of ImmunologyVol. 214(Supplement_1)
WinnMed (US), Mayo Clinic in Arizona (US)
Openalex Percentile: Top 68%
Single-cell and spatial transcriptomics
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