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Lindbergh CA, Asken BM, Casaletto KB, Elahi FM, Goldberger LA, Fonseca C, You M, Apple AC, Staffaroni AM, Fitch R, Rivera Contreras W, Wang P, Karydas A, Kramer JH. Interbatch Reliability of Blood-Based Cytokine and Chemokine Measurements in Community-Dwelling Older Adults: A Cross-Sectional Study. J Gerontol A Biol Sci Med Sci 2021; 76:1954-1961. [PMID: 34110415 DOI: 10.1093/gerona/glab162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Indexed: 11/13/2022] Open
Abstract
Blood-based inflammatory markers hold considerable promise for diagnosis and prognostication of age-related neurodegenerative disease, though a paucity of research has empirically tested how reliably they can be measured across different experimental runs ("batches"). We quantified the interbatch reliability of 13 cytokines and chemokines in a cross-sectional study of 92 community-dwelling older adults (mean age = 74; 48% female). Plasma aliquots from the same blood draw were parallelly processed in 2 separate batches using the same analytic platform and procedures (high-performance electrochemiluminescence by Meso Scale Discovery). Interbatch correlations (Pearson's r) ranged from small and nonsignificant (r = .13 for macrophage inflammatory protein-1 alpha [MIP-1α]) to very large (r > .90 for interferon gamma [IFNγ], interleukin-10 [IL-10], interferon gamma-induced protein 10 [IP-10], MIP-1β, thymus and activation-regulated chemokine [TARC]) with most markers falling somewhere in between (.67 ≤ r ≤ .90 for IL-6, tumor necrosis factor alpha [TNF-α], Eotaxin, Eotaxin-3, monocyte chemoattractant protein-1 [MCP-1], MCP-4, macrophage-derived chemokine [MDC]). All markers, except for IL-6 and MCP-4, showed significant differences in absolute values between batches, with discrepancies ranging in effect size (Cohen's d) from small to moderate (0.2 ≤ |d| ≤ 0.5 for IL-10, IP-10, MDC) to large or very large (0.68 ≤ |d| ≤ 1.5 for IFNγ, TNF-α, Eotaxin, Eotaxin-3, MCP-1, MIP-1α, MIP-1β, TARC). Relatively consistent associations with external variables of interest (age, sex, systolic blood pressure, body mass index, cognition) were observed across batches. Taken together, our results suggest heterogeneity in measurement reliability of blood-based cytokines and chemokines, with some analytes outperforming others. Future work is needed to evaluate the generalizability of these findings while identifying potential sources of batch effect measurement error.
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Affiliation(s)
- Cutter A Lindbergh
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Breton M Asken
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Kaitlin B Casaletto
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Fanny M Elahi
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Lauren A Goldberger
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Corrina Fonseca
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Michelle You
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Alexandra C Apple
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Adam M Staffaroni
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Ryan Fitch
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Will Rivera Contreras
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Paul Wang
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Anna Karydas
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
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Lindbergh CA, Casaletto KB, Staffaroni AM, Elahi F, Walters SM, You M, Neuhaus J, Rivera Contreras W, Wang P, Karydas A, Brown J, Wolf A, Rosen H, Cobigo Y, Kramer JH. Systemic Tumor Necrosis Factor-Alpha Trajectories Relate to Brain Health in Typically Aging Older Adults. J Gerontol A Biol Sci Med Sci 2020; 75:1558-1565. [PMID: 31549145 PMCID: PMC7457183 DOI: 10.1093/gerona/glz209] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Central nervous system levels of tumor necrosis factor-alpha (TNF-α), a pro-inflammatory cytokine, regulate the neuroinflammatory response and may play a role in age-related neurodegenerative diseases. The longitudinal relation between peripheral levels of TNF-α and typical brain aging is understudied. We hypothesized that within-person increases in systemic TNF-α would track with poorer brain health outcomes in functionally normal adults. METHODS Plasma-based TNF-α concentrations (pg/mL; fasting morning draws) and magnetic resonance imaging were acquired in 424 functionally intact adults (mean age = 71) followed annually for up to 8.4 years (mean follow-up = 2.2 years). Brain outcomes included total gray matter volume and white matter hyperintensities. Cognitive outcomes included composites of memory, executive functioning, and processing speed, as well as Mini-Mental State Examination total scores. Longitudinal mixed-effects models were used, controlling for age, sex, education, and total intracranial volume, as appropriate. RESULTS TNF-α concentrations significantly increased over time (p < .001). Linear increases in within-person TNF-α were longitudinally associated with declines in gray matter volume (p < .001) and increases in white matter hyperintensities (p = .003). Exploratory analyses suggested that the relation between TNF-α and gray matter volume was curvilinear (TNF-α 2p = .002), such that initial increases in inflammation were associated with more precipitous atrophy. There was a negative linear relationship of within-person changes in TNF-α to Mini-Mental State Examination scores over time (p = .036) but not the cognitive composites (all ps >.05). CONCLUSION Systemic inflammation, as indexed by plasma TNF-α, holds potential as a biomarker for age-related declines in brain health.
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Affiliation(s)
| | | | | | - Fanny Elahi
- Department of Neurology, Memory and Aging Center and , California
| | | | - Michelle You
- Department of Neurology, Memory and Aging Center and , California
| | - John Neuhaus
- Department of Epidemiology and Biostatistics, University of California at San Francisco, California
| | | | - Paul Wang
- Department of Neurology, Memory and Aging Center and , California
| | - Anna Karydas
- Department of Neurology, Memory and Aging Center and , California
| | - Jesse Brown
- Department of Neurology, Memory and Aging Center and , California
| | - Amy Wolf
- Department of Neurology, Memory and Aging Center and , California
| | - Howie Rosen
- Department of Neurology, Memory and Aging Center and , California
| | - Yann Cobigo
- Department of Neurology, Memory and Aging Center and , California
| | - Joel H Kramer
- Department of Neurology, Memory and Aging Center and , California
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