Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures
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 n...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2021-10-01
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| Series: | eLife |
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| Online Access: | https://elifesciences.org/articles/70899 |
| _version_ | 1811200752371105792 |
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| author | Shannon Rausser Caroline Trumpff Marlon A McGill Alex Junker Wei Wang Siu-Hong Ho Anika Mitchell Kalpita R Karan Catherine Monk Suzanne C Segerstrom Rebecca G Reed Martin Picard |
| author_facet | Shannon Rausser Caroline Trumpff Marlon A McGill Alex Junker Wei Wang Siu-Hong Ho Anika Mitchell Kalpita R Karan Catherine Monk Suzanne C Segerstrom Rebecca G Reed Martin Picard |
| author_sort | Shannon Rausser |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T02:10:10Z |
| format | Article |
| id | doaj.art-66750d7ee5894ea68f42b14e43507f68 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T02:10:10Z |
| publishDate | 2021-10-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-66750d7ee5894ea68f42b14e43507f682022-12-22T03:52:26ZengeLife Sciences Publications LtdeLife2050-084X2021-10-011010.7554/eLife.70899Mitochondrial phenotypes in purified human immune cell subtypes and cell mixturesShannon Rausser0https://orcid.org/0000-0003-0425-1571Caroline Trumpff1Marlon A McGill2Alex Junker3Wei Wang4https://orcid.org/0000-0001-9890-2122Siu-Hong Ho5Anika Mitchell6Kalpita R Karan7Catherine Monk8Suzanne C Segerstrom9Rebecca G Reed10Martin Picard11https://orcid.org/0000-0003-2835-0478Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United StatesDepartment of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United StatesDepartment of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United StatesDepartment of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United StatesColumbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, United StatesColumbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, United StatesDepartment of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United StatesDepartment of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United StatesDepartment 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 StatesDepartment of Psychology, University of Kentucky, Lexington, United StatesDepartment of Psychology, University of Pittsburgh, Pittsburgh, United StatesDepartment 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 StatesUsing 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.https://elifesciences.org/articles/70899mitochondrialeukocytessexual dimorphismagingdynamic variationimmunometabolism |
| spellingShingle | Shannon Rausser Caroline Trumpff Marlon A McGill Alex Junker Wei Wang Siu-Hong Ho Anika Mitchell Kalpita R Karan Catherine Monk Suzanne C Segerstrom Rebecca G Reed Martin Picard Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures eLife mitochondria leukocytes sexual dimorphism aging dynamic variation immunometabolism |
| title | Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures |
| title_full | Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures |
| title_fullStr | Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures |
| title_full_unstemmed | Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures |
| title_short | Mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures |
| title_sort | mitochondrial phenotypes in purified human immune cell subtypes and cell mixtures |
| topic | mitochondria leukocytes sexual dimorphism aging dynamic variation immunometabolism |
| url | https://elifesciences.org/articles/70899 |
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