Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, United States
Siu-Hong Ho
Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, United States
Anika Mitchell
Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States
Kalpita R Karan
Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States
Catherine Monk
Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States; Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, United States; New York State Psychiatric Institute, New York, United States
Suzanne C Segerstrom
Department of Psychology, University of Kentucky, Lexington, United States
Rebecca G Reed
Department of Psychology, University of Pittsburgh, Pittsburgh, United States
Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States; New York State Psychiatric Institute, New York, United States; Department of Neurology, Merritt Center and Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, United States
Using a high-throughput mitochondrial phenotyping platform to quantify multiple mitochondrial features among molecularly defined immune cell subtypes, we quantify the natural variation in mitochondrial DNA copy number (mtDNAcn), citrate synthase, and respiratory chain enzymatic activities in human neutrophils, monocytes, B cells, and naïve and memory T lymphocyte subtypes. In mixed peripheral blood mononuclear cells (PBMCs) from the same individuals, we show to what extent mitochondrial measures are confounded by both cell type distributions and contaminating platelets. Cell subtype-specific measures among women and men spanning four decades of life indicate potential age- and sex-related differences, including an age-related elevation in mtDNAcn, which are masked or blunted in mixed PBMCs. Finally, a proof-of-concept, repeated-measures study in a single individual validates cell type differences and also reveals week-to-week changes in mitochondrial activities. Larger studies are required to validate and mechanistically extend these findings. These mitochondrial phenotyping data build upon established immunometabolic differences among leukocyte subpopulations, and provide foundational quantitative knowledge to develop interpretable blood-based assays of mitochondrial health.