High risk blood myeloid dysregulation is elevated in obesity and is reduced by lifestyle interventions 2251787

A Andrew Moore J Jeanna Enriquez (Stanford University School of Medicine) A Ananthakrishnan Ganesan (Stanford University School of Medicine) H Hong Zheng (Center of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering) P Purvesh Khatri (Department of Microbiology and Immunology, Stanford University School of Medicine)

Abstract

Abstract Introduction We recently described the Human Immune Dysregulation Evaluation Framework (Hi-DEF) to quantify myeloid and lymphoid dysregulation across infectious and non-infectious illness using peripheral blood gene expression (Moore et al, Nature Medicine). Using the Hi-DEF framework, we evaluated the baseline immune dysregulation in patients with obesity and quantified the changes in immune dysregulation due to lifestyle changes and medical interventions. Methods We assessed the association of obesity with myeloid dysregulation in the Framingham Cohort using linear regression. In two additional datasets (GSE66175, GSE19790), we assessed the effect of dietary interventions and bariatric surgery on myeloid dysregulation using paired Wilcoxon rank sum test pre- and post- intervention and Pearson correlation. Results In the Framingham cohort (n = 5321), myeloid dysregulation score was associated with BMI (p = 2.2e-6) after correcting for age and sex. Patients assigned to diet/exercise experienced significant reductions in myeloid score after 3 months (n = 63, p = 1.2e-7), which was not seen in controls (n = 63, p = 0.29). Change in myeloid score was significantly correlated with change in weight loss (r = 0.32, p = 0.006). This reduction in myeloid dysregulation was also seen post-bariatric surgery (n = 11, p = 0.0001). Conclusion Patients with obesity have significantly higher myeloid dysregulation compared to healthy subjects, which is modifiable with lifestyle and medical interventions. Funding Source 5K12TR004930-02 Topic Categories Computational and Systems Immunology (COMP)

Article Details

Volume / Issue Vol. 215, Issue Supplement_1
Published August 01, 2026
ISSN 0022-1767
Publisher American Association of Immunologists

Authors (5)

A

Andrew Moore

J

Jeanna Enriquez

Stanford University School of Medicine

A

Ananthakrishnan Ganesan

Stanford University School of Medicine

H

Hong Zheng

Center of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering

P

Purvesh Khatri

Department of Microbiology and Immunology, Stanford University School of Medicine