The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Aging impairs mitochondrial respiratory capacity in classical monocytes
Open accessAbstract
Aging is a critical healthcare concern, with age-related inflammation disposing individuals to a variety of diseases. Monocytes are affected by the aging process, with increased inflammation and impaired cellular functions such as phagocytosis. Mechanisms by which aging alters monocyte function are unknown, but recent research suggests that the balance of metabolic processes determine immune cell phenotype and function. Given the known association between aging and mitochondrial dysfunction in other tissues, we hypothesized that aging would impair mitochondrial function in monocytes. To test this, we isolated classical monocytes from young and older adults and tested mitochondrial function by a Seahorse assay. Aging reduced mitochondrial respiratory capacity and spare capacity in monocytes. Mitochondrial dysfunction is a potential mechanism by which aging alters monocyte phenotype and may impair inflammatory functions, especially in low-glucose environments where oxidative metabolism is necessary to meet energy demands.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“It has been observed that respiratory capacity steadily declines with age in CD14 + monocytes as a consequence of mitochondrial dysfunction (144).”
From The impact of ageing on monocytes and macrophages (2021) · cites this paper as [144]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Chronic Inflammation (Inflammaging) and Its Potential Contribution to Age-Associated Diseases
Franceschi, C., & Campisi, J. (2014) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glu057 · Cited by 3,891 · cited 2×
“Age-related cellular damage is thought to trigger sterile inflammatory responses in phagocytes (Franceschi and Campisi 2014).”
A guide to immunometabolism for immunologists
O'Neill, L. A. J., Kishton, R. J., & Rathmell, J. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2016.70 · Cited by 3,315 · cited 1×
“A recent review covers these processes in comprehensive detail (O'Neill et al. 2016).”
Geroscience: Linking Aging to Chronic Disease
Kennedy, B. K., Berger, S. L., Brunet, A., Campisi, J., Cuervo, A. M., Epel, E. S., Franceschi, C., Lithgow, G. J., Morimoto, R. I., Pessin, J. E., et al. (2014) · Cell · doi:10.1016/j.cell.2014.10.039 · Cited by 2,764
Nomenclature of monocytes and dendritic cells in blood
Ziegler‐Heitbrock, L., Ancuța, P., Crowe, S. M., Dalod, M., Grau, V., Hart, D. N. J., Leenen, P. J. M., Liu, Y.-J., MacPherson, G. G., Randolph, G. J., et al. (2010) · Blood · doi:10.1182/blood-2010-02-258558 · Cited by 2,436 · cited 1×
“Monocytes take on several phenotypes, traditionally broken down into classical (CD14CD16), intermediate (CD14CD16), and nonclassical (CD14CD16) (Ziegler-Heitbrock et al. 2010).”
HIF-1α is essential for myeloid cell-mediated inflammation
Cramer, T., Yamanishi, Y., Clausen, B. E., Förster, I., Pawlinski, R., Mackman, N., Haase, V. H., Jaenisch, R., Corr, M., Nizet, V., et al. (2003) · Cell · doi:10.1016/s0092-8674(03)00154-5 · Cited by 2,046
Daigneault, M., Preston, J. A., Marriott, H. M., Whyte, M. K. B., & Dockrell, D. H. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008668 · Cited by 1,209
Aspects of Immune Dysfunction in End-stage Renal Disease
Kato, S., Chmielewski, M. S., Honda, H., Pecoits‐Filho, R., Matsuo, S., Yuzawa, Y., Tranæus, A., Stenvinkel, P., & Lindholm, B. (2008) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.00950208 · Cited by 1,111 · cited 1×
“1999), renal diseases (Kato et al. 2008), hypercholesterolemia (Short et al.”
Yang, J., Zhang, L., Yu, C., Yang, X.-F., & Wang, H. (2014) · Biomarker Research · doi:10.1186/2050-7771-2-1 · Cited by 1,099 · cited 2×
“Monocytes are circulating innate immune cells with functions including cytokine production, phagocytosis, and differentiation into macrophages and dendritic cells (Yang et al. 2014).”
The role of mitochondria in aging
Bratic, A., & Larsson, N.-G. (2013) · Journal of Clinical Investigation · doi:10.1172/jci64125 · Cited by 1,087 · cited 2×
“In aging, mitochondrial function is impaired in numerous cell types (Bratic and Larsson 2013) and thus represents a plausible underlying cause for inflammaging.”
Hearps, A. C., Martin, G. E., Angelovich, T. A., Cheng, W., Maisa, A., Landay, A. L., Jaworowski, A., & Crowe, S. M. (2012) · Aging Cell · doi:10.1111/j.1474-9726.2012.00851.x · Cited by 547 · cited 3×
“1D), in agreement with previous research (Hearps et al. 2012), although intermediate (CD14CD16) monocyte proportion did not differ.”
Influential
Flagged first, then by citations
Research works printed but not linked: 1
- Vincent, 2010, The next four decades, the older population in the United States, Current Population Reports, P25
Cited by
Sorted by citations
Items 101–122 of 122
Introductory Chapter: Aging is a Preventable Disorder
Çakmur, H. (2018) · InTech eBooks · doi:10.5772/intechopen.79190
Monocytes in Aging and Exercise
Yarbro, J. R., & Pence, B. D. (2018) · Exercise Medicine · doi:10.26644/em.2018.015
“Indeed, in support of this we have recently demonstrated that aging impairs mitochondrial respiratory capacity in human monocytes [57].”
BackgroundVivian, G. K. (2021) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.9.2021.tde-05072021-184454
The role of Banf1 in mechanisms of cellular ageing and cancer prognosis
Plowman, J. (2024) · Queensland University of Technology · doi:10.5204/thesis.eprints.247163
Christakoudi, S., Tsilidis, K. K., & Ríboli, E. (2024) · BMC Cancer · doi:10.1186/s12885-024-12344-0
Valencia, A. P., Pharaoh, G. A., Brandao, A. F., & Marcinek, D. J. (2024) · doi:10.3791/66863-v
Mosalmanzadeh, N., Maurmann, R. M., Davis, K. L., Schmitt, B. L., Makowski, L., & Pence, B. D. (2026) · The Journal of Immunology · doi:10.1093/jimmun/vkag141.199
Lactate Secretion by Monocytes as a Determinant of Innate Immune Cell Fitness in Healthy Elderly
Smeehuijzen, L., Vrieling, F., Jansen, J., van der Zande, H. J. P., Houslay, T. M., Gross, G., van Diepen, J. A., Afman, L. A., & Stienstra, R. (2025) · Aging Cell · doi:10.1111/acel.70220
“…healthy elderly individuals, showing that monocytes express lower levels of mitochondrial genes, including those coding for electron transport chain proteins, suggesting reduced mitochondrial oxidative metabolism (Shchukina et al. 2021), and maximal respiratory capacity (Pence and Yarbro 2018).”
Snodgrass, R. G., Jiang, X., & Stephensen, C. B. (2022) · Figshare · doi:10.6084/m9.figshare.21117419
Grün, L. K., Maurmann, R. M., Scholl, J. N., Fogaça, M. E., Schmitz, C. R. R., Dias, C., Gasparotto, J., Padoin, A. V., Mottin, C. C., Klamt, F., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24295745
Dobbs, K. R., Embury, P., Koech, E., Ogolla, S., Munga, S., Kazura, J. W., & Dent, A. E. (2021) · Figshare · doi:10.6084/m9.figshare.14183718
Wang, C., Cheng, Y., Li, B., Qiu, X., Hu, H., Zhang, X., Lu, Z., & Zheng, F. (2023) · Figshare · doi:10.6084/m9.figshare.24209138
Grün, L. K., Maurmann, R. M., Scholl, J. N., Fogaça, M. E., Schmitz, C. R. R., Dias, C. K., Gasparotto, J., Padoin, A. V., Mottin, C. C., Klamt, F., et al. (2023) · Figshare · doi:10.6084/m9.figshare.24295706
Christakoudi, S., Tsilidis, K. K., & Riboli, E. (2024) · Figshare · doi:10.6084/m9.figshare.26724473
Christakoudi, S., Tsilidis, K. K., & Riboli, E. (2024) · Figshare · doi:10.6084/m9.figshare.26724476
Grün, L. K., Maurmann, R. M., Scholl, J. N., Fogaça, M. E., Schmitz, C. R. R., Dias, C. K., Gasparotto, J., Padoin, A. V., Mottin, C. C., Klamt, F., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26625589
Immunoregulatory effect of metformin in monocytes exposed to SARS-CoV-2 spike protein subunit 1
Maurmann, R. M., Davis, K. L., Mosalmanzadeh, N., Schmitt, B. L., & Pence, D. (2026) · Immunometabolism · doi:10.1097/in9.0000000000000078
“As we have previously described [35] , this procedure yields a highly pure (>85”
Phang, H. J., Arciniega, A., Bergstrom, J., Avalon, N. E., Glukhov, E., Gerwick, W. H., & Molina, A. J. A. (2026) · Oxidative Medicine and Cellular Longevity · doi:10.1155/omcl/9524037
Monocyte abundance and glycolytic reprogramming associate with motivational impairment in depression
Bekhbat, M., Craig, G. E., Wommack, E. C., Coblenz, C. W., Choe, N., Balidemaj, N., Nesbeth, P.-D. C., Goldsmith, D. R., Treadway, M. T., Haroon, E., et al. (2026) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2026.106882
Distinct roles of COPI proteins attenuated in cell senescence
Mazan-Mamczarz, K., Wind, E. J., Pal, A., Salamini-Montemurri, M., Tsitsipatis, D., Kim, K. M., Munk, R. B., Leng, J., Shin, C. H., Martindale, J. L., et al. (2026) · Science Advances · doi:10.1126/sciadv.aec2786
“…agreement with the accumulation of dysfunctional mitochondria in these cells, as previously report-ed in senescence models and aged cells ( 2 , 30 – 33 ), and in agreement with the mitochondrial dysfunction observed after silencing COPI proteins in yeast and human neuroblastoma cells ( 34 , 35 ).”
Mosalmanzadeh, N., Maurmann, R. M., Davis, K. L., Schmitt, B. L., Makowski, L., & Pence, B. D. (2026) · Immunometabolism · doi:10.1097/in9.0000000000000090
“In previous studies, our methodology consistently yielded 90% to 95% pure and >90% viable monocyte populations, with no observed differences attributable to race, sex, or age [8] .”
A transitional senescence program drives inflammatory monocyte state expansion in aging humansPreprint
Vasilopoulos, T., Turano, P. S., Garza‐Martinez, L., Akbulut, E., Konda, M., Herbig, U., Fitzgerald-Bocarsly, P. A., & Martínez‐Zamudio, R. I. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.09.750459
Metadata
- Authors
- Pence, B. D., & Yarbro, J. R.
- Affiliations
- University of Memphis (US)
- Corresponding author
- Pence, Brandt D.
- Venue
- Experimental Gerontology
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 108
- Pages
- 112-117
- ISSN
- 0531-5565 (ISSN-L)
- OpenAlex
- W2798053566
- Cited by
- 120
- References
- 40
- Citations by year
- 2026: 11 · 2025: 8 · 2024: 19 · 2023: 11 · 2022: 17 · 2021: 21 · 2020: 18 · 2019: 10 · 2018: 5
- FWCI
- 4.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Experimental Gerontology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- University of Memphis
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Mitochondrial Function and Pathology
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- aging, classical monocytes, mitochondrial respiratory capacity, mitochondrial dysfunction, spare respiratory capacity, age-related inflammation, monocyte phenotype, oxidative metabolism, glucose metabolism, immune cell function
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Aging, Female, Flow Cytometry, Humans, Immunity, Innate, Inflammation, Male, Middle Aged, Mitochondria, Monocytes, Phagocytosis, Cell Respiration, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review