Metti and colleagues’ report of an association between high interleukin 6 soluble receptor (IL-6-sR) levels in plasma and lower risk of incident dementia raises several more-tantalizing questions than answers1. Although the role of inflammation, peripheral and systemic as well as central, in Alzheimer’s disease (AD) have been extensively investigated2, 3, human studies have largely been cross-sectional and have seldom focused on the oldest-old individuals4, 5. In using a longitudinal design to assay plasma cytokines as candidate biomarkers of incident dementia in a much older population than most conventional studies, Metti and colleagues have executed a novel study that plugs several gaping holes in an exciting area of research.
The underlying biology linking higher baseline (and increasing) peripheral IL-6-sR levels with lower risk of dementia is intriguing. In addition to alternative splicing of IL-6R messenger ribonucleic acid, it is known that limited proteolysis of the extracellular domain of membrane IL-6R by metalloproteases such as ADAM10 can generate IL-6-sR6. A zinc metalloprotease, ADAM10 is also recognized to be the principal alpha-secretase in neurons, initiating the processing of amyloid precursor protein (APP) into a nonamyloidogenic, nonpathogenic pathway7. Previous studies have reported on lower ADAM10 activity within platelets of individuals with AD than in controls, suggesting that lower alpha-secretase activity may be a detectable feature even in early stages of AD8, 9. The significance of these findings as a biologically relevant biomarker and the potential for therapeutic manipulation by enhancement of nonamyloidogenic APP processing is obvious10. Equally important, all components of the classical IL-6 signaling pathway (IL-6, its membrane-bound receptor (IL-6R), and the signal-transducing component gp130) are detectable in the brain, with evidence of altered cortical immunoreactivity of the functional IL-6R complex in AD11. Moreover, IL-6 trans-signaling through the IL-6-sR has been shown to be upregulated in the brain during aging12. In this context, Metti and colleagues’ current findings suggest another plausible biological link between inflammatory cytokine signaling and risk of dementia.
Although predictive blood-based biomarkers of dementia are eagerly sought, this area of research is fraught with many a broken promise because of poor replication of results, inconsistency of analytical techniques, and heterogenous patient populations across studies13, 14. It is therefore reasonable to strike a note of cautious optimism that Metti and colleagues’ findings, although novel and interesting, must await independent replication in similarly designed studies in comparable populations. Nevertheless, this is not just another biomarker study because it generates several larger questions that merit further consideration.
Do peripheral immune and inflammatory responses reflect core pathological features of AD and vascular dementia?
Are peripheral immune and inflammatory signals initiators of neuropathology in dementia, a consequence, or merely epiphenomena?
Do changing levels of peripheral cytokines and other inflammatory and immune regulatory proteins signal fluxes in host defense responses or recruitment of repair mechanisms?
Can chronic inflammatory states outside the central nervous system be “transmitted” to the brain to influence the onset or progression of AD?
Unbiased proteomic studies, including those from our group, have consistently revealed a peripheral immune or inflammatory signal that is associated with AD. These include associations with disease status and with established endophenotypes of disease pathology such as brain atrophy and amyloid deposition. Examples of such signals include complement-related proteins (complement factors H and I, Complement component 3, clusterin)15–18, acute phase reactants (alpha2 macroglobulin, haptoglobin, C-reactive protein)19, 20, 21, cytokines, and cell-signaling proteins5, 14, 22. In parallel with these studies, recent large-scale genome-wide association studies of AD have further identified genetic risk variants within genes associated with the immune response including clusterin and complement receptor-123, 24. Together, these findings point to an intrinsic role of the inflammatory and immune response pathways in AD.
Whether a systemic immune response might signal to the brain to initiate or accelerate neurodegeneration or serve to moderate deleterious effects in an inflammatory cascade is a particularly challenging question to address in human studies. It is also unclear whether immune activation within neurons can influence systemic immunity. Although animal studies have suggested that bidirectional immune signaling can occur between the periphery and the central nervous system25–27, much work remains to be done to understand the cumulative effects of such signaling in humans. Within the context of aging, the net effects of inflammation are likely to depend upon the balance between a stereotyped immune response aimed at fighting invaders (e.g., viruses, bacteria), removing extraneous material or damaged debris, and biological actions promoting tissue repair and regeneration28–30.
It is especially relevant in this context to consider that a novel variant in the triggering receptor expressed on myeloid cells 2 (TREM2) gene exerts a strong effect on risk for AD31, 32. TREM2 is expressed on the cell membrane of many types of immune cells, including microglia. Activation of the TREM2 receptor on microglia has two important functional consequences: stimulation of phagocytosis and decreasing microglial proinflammatory responses33. Collectively, TREM2 may therefore function to help aid microglia in clearing damaged or apoptotic cells and cellular debris and help resolve damage-induced inflammation.
A deeper understanding of the regulatory mechanisms underlying the “defense” and “repair” modes of inflammation in aging will be critical if we aspire to turn findings such as those reported by Metti and colleagues into tangible benefits for older individuals at risk of dementia. We therefore propose a roadmap for the comprehensive study of “inflammaging”34, 35with the ultimate goal of discerning its role in age-related declines in cognitive and physical function. This effort will require integration of several diverse methodologies in well-characterized and longitudinally followed cohorts of older individuals, including, for instance, multimodal neuroimaging to derive endophenotypes of neuropathology, detailed measurements of changes in domain-specific cognitive trajectories, and the use of “omics” technologies for large-scale unbiased measurements of messenger ribonucleic acid, epigenetic, small metabolite, and protein signatures. The critical milestones on this roadmap include:
Identification of changes in small metabolite, proteomic, and transcriptomic signatures that predict AD risk and brain pathology, cognitive resilience, and frailty.
Delineation of critical time periods before the onset of cognitive decline or frailty when windows of opportunity might exist for specific interventions.
Understanding the genetic and epigenetic regulation of dynamic changes in the immune and inflammatory response.
Mapping the full spectrum of inciting and inhibiting triggers of inflammation during aging.
Footnotes
Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper.
Author Contributions: Both authors contributed to this paper.
Sponsor’s Role: None.
References
- 1.Metti AL, Yaffe K, Boudreau RM, et al. Change in inflammatory markers and cognitive status in the oldest-old women from the Study of Osteoporotic Fractures. J Am Geriatr Soc. 2014;62:662–666. doi: 10.1111/jgs.12739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Rogers J, Webster S, Lue LF, et al. Inflammation and Alzheimer’s disease pathogenesis. Neurobiol Aging. 1996;17:681–686. doi: 10.1016/0197-4580(96)00115-7. [DOI] [PubMed] [Google Scholar]
- 3.Sardi F, Fassina L, Venturini L, et al. Alzheimer’s disease, autoimmunity and inflammation. The good, the bad and the ugly. Autoimmun Rev. 2011;11:149–153. doi: 10.1016/j.autrev.2011.09.005. [DOI] [PubMed] [Google Scholar]
- 4.Koyama A, O’Brien J, Weuve J, et al. The role of peripheral inflammatory markers in dementia and Alzheimer’s disease: A meta-analysis. J Gerontol A Biol Sci Med Sci. 2013;68A:433–440. doi: 10.1093/gerona/gls187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ringman JM, Elashoff D, Geschwind DH, et al. Plasma signaling proteins in persons at genetic risk for Alzheimer disease: Influence of APOE genotype. Arch Neurol. 2012;69:757–764. doi: 10.1001/archneurol.2012.277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Erta M, Quintana A, Hidalgo J. Interleukin-6, a major cytokine in the central nervous system. Int J Biol Sci. 2012;8:1254–1266. doi: 10.7150/ijbs.4679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Kuhn PH, Wang H, Dislich B, et al. ADAM10 is the physiologically relevant, constitutive alpha-secretase of the amyloid precursor protein in primary neurons. EMBO J. 2010;29:3020–3032. doi: 10.1038/emboj.2010.167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Colciaghi F, Borroni B, Pastorino L, et al. [alpha]-Secretase ADAM10 as well as [alpha]APPs is reduced in platelets and CSF of Alzheimer disease patients. Mol Med. 2002;8:67–74. [PMC free article] [PubMed] [Google Scholar]
- 9.Colciaghi F, Marcello E, Borroni B, et al. Platelet APP, ADAM 10 and BACE alterations in the early stages of Alzheimer disease. Neurology. 2004;62:498–501. doi: 10.1212/01.wnl.0000106953.49802.9c. [DOI] [PubMed] [Google Scholar]
- 10.Endres K, Fahrenholz F. Upregulation of the alpha-secretase ADAM10—risk or reason for hope? FEBS J. 2010;277:1585–1596. doi: 10.1111/j.1742-4658.2010.07566.x. [DOI] [PubMed] [Google Scholar]
- 11.Hampel H, Haslinger A, Scheloske M, et al. Pattern of interleukin-6 receptor complex immunoreactivity between cortical regions of rapid autopsy normal and Alzheimer’s disease brain. Eur Arch Psychiatry Clin Neurosci. 2005;255:269–278. doi: 10.1007/s00406-004-0558-2. [DOI] [PubMed] [Google Scholar]
- 12.Burton MD, Johnson RW. Interleukin-6 trans-signaling in the senescent mouse brain is involved in infection-related deficits in contextual fear conditioning. Brain Behav Immun. 2012;26:732–738. doi: 10.1016/j.bbi.2011.10.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Bjorkqvist M, Ohlsson M, Minthon L, et al. Evaluation of a previously suggested plasma biomarker panel to identify Alzheimer’s disease. PLoS One. 2012;7:e29868. doi: 10.1371/journal.pone.0029868. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ray S, Britschgi M, Herbert C, et al. Classification and prediction of clinical Alzheimer’s diagnosis based on plasma signaling proteins. Nat Med. 2007;13:1359–1362. doi: 10.1038/nm1653. [DOI] [PubMed] [Google Scholar]
- 15.Thambisetty M, An Y, Kinsey A, et al. Plasma clusterin concentration is associated with longitudinal brain atrophy in mild cognitive impairment. Neuroimage. 2012;59:212–217. doi: 10.1016/j.neuroimage.2011.07.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Thambisetty M, Simmons A, Hye A, et al. Plasma biomarkers of brain atrophy in Alzheimer’s disease. PLoS One. 2011;6:e28527. doi: 10.1371/journal.pone.0028527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Thambisetty M, Simmons A, Velayudhan L, et al. Association of plasma clusterin concentration with severity, pathology, and progression in Alzheimer disease. Arch Gen Psychiatry. 2010;67:739–748. doi: 10.1001/archgenpsychiatry.2010.78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Thambisetty M, Tripaldi R, Riddoch-Contreras J, et al. Proteome-based plasma markers of brain amyloid-beta deposition in non-demented older individuals. J Alzheimers Dis. 2010;22:1099–1109. doi: 10.3233/JAD-2010-101350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hye A, Lynham S, Thambisetty M, et al. Proteome-based plasma biomarkers for Alzheimer’s disease. Brain. 2006;129:3042–3050. doi: 10.1093/brain/awl279. [DOI] [PubMed] [Google Scholar]
- 20.Cocciolo A, Di Domenico F, Coccia R, et al. Decreased expression and increased oxidation of plasma haptoglobin in Alzheimer disease: Insights from redox proteomics. Free Radic Biol Med. 2012;53:1868–1876. doi: 10.1016/j.freeradbiomed.2012.08.596. [DOI] [PubMed] [Google Scholar]
- 21.O’Bryant SE, Waring SC, Hobson V, et al. Decreased C-reactive protein levels in Alzheimer disease. J Geriatr Psychiatry Neurol. 2010;23:49–53. doi: 10.1177/0891988709351832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ho L, Zhao W, Dams-O’Connor K, et al. Elevated plasma MCP-1 concentration following traumatic brain injury as a potential “predisposition” factor associated with an increased risk for subsequent development of Alzheimer’s disease. J Alzheimers Dis. 2012;31:301–313. doi: 10.3233/JAD-2012-120598. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Harold D, Abraham R, Hollingworth P, et al. Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer’s disease. Nat Genet. 2009;41:1088–1093. doi: 10.1038/ng.440. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lambert JC, Heath S, Even G, et al. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. Nat Genet. 2009;41:1094–1099. doi: 10.1038/ng.439. [DOI] [PubMed] [Google Scholar]
- 25.Czirr E, Wyss-Coray T. The immunology of neurodegeneration. J Clin Invest. 2012;122:1156–1163. doi: 10.1172/JCI58656. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Villeda SA, Luo J, Mosher KI, et al. The ageing systemic milieu negatively regulates neurogenesis and cognitive function. Nature. 2011;477:90–94. doi: 10.1038/nature10357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Villeda SA, Wyss-Coray T. The circulatory systemic environment as a modulator of neurogenesis and brain aging. Autoimmun Rev. 2013;12:674–677. doi: 10.1016/j.autrev.2012.10.014. [DOI] [PubMed] [Google Scholar]
- 28.Godwin JW, Pinto AR, Rosenthal NA. Macrophages are required for adult salamander limb regeneration. Proc Natl Acad Sci U S A. 2013;110:9415–9420. doi: 10.1073/pnas.1300290110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Mosser DM, Edwards JP. Exploring the full spectrum of macrophage activation. Nat Rev Immunol. 2008;8:958–969. doi: 10.1038/nri2448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Sica A, Mantovani A. Macrophage plasticity and polarization: In vivo veritas. J Clin Invest. 2012;122:787–795. doi: 10.1172/JCI59643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Guerreiro R, Wojtas A, Bras J, et al. TREM2 variants in Alzheimer’s disease. N Engl J Med. 2013;368:117–127. doi: 10.1056/NEJMoa1211851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Jonsson T, Stefansson H, Steinberg S, et al. Variant of TREM2 associated with the risk of Alzheimer’s disease. N Engl J Med. 2013;368:107–116. doi: 10.1056/NEJMoa1211103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Rohn TT. The triggering receptor expressed on myeloid cells 2: “TREM-ming” the inflammatory component associated with Alzheimer’s disease. Oxid Med Cell Longev. 2013;2013:860959. doi: 10.1155/2013/860959. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Franceschi C, Capri M, Monti D, et al. Inflammaging and anti-inflammaging: A systemic perspective on aging and longevity emerged from studies in humans. Mech Ageing Dev. 2007;128:92–105. doi: 10.1016/j.mad.2006.11.016. [DOI] [PubMed] [Google Scholar]
- 35.Giunta B, Fernandez F, Nikolic WV, et al. Inflammaging as a prodrome to Alzheimer’s disease. J Neuroinflammation. 2008;5:51. doi: 10.1186/1742-2094-5-51. [DOI] [PMC free article] [PubMed] [Google Scholar]