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. Author manuscript; available in PMC: 2014 May 18.
Published in final edited form as: N Engl J Med. 2013 Oct 17;369(16):1565–1567. doi: 10.1056/NEJMc1306509#SA3

TREM2 Risk Variant and Loss of Brain Tissue

Priya Rajagopalan 1, Derrek P Hibar 1, Paul M Thompson 1
PMCID: PMC4024453  NIHMSID: NIHMS576573  PMID: 24131186

We were intrigued by reports of a discovery of a rare variant in TREM2 (13) that roughly triples the lifetime risk of Alzheimer’s disease (AD). The frequency of this risk variant was reported as 0.63% in the Icelandic population (1) and is somewhat variable across populations (see Supplement). Here we aimed to understand how the gene variant affects AD risk by mapping its effects on brain in 478 subjects (mean age: 75.5±6.5 years; 283M/195F; 100 with AD, 221 with mild cognitive impairment and 157 healthy controls) from the Alzheimer’s Disease Neuroimaging Initiative, scanned with brain MRI every year for 2 years (4). Using tensor-based morphometry, we computed the rates of brain tissue loss, per year, over 24 months from the baseline MRI in a statistically-defined region of interest, based on voxels with significant atrophic rates over time within the temporal lobes in AD (4). We then tested the hypothesis that annual brain loss rates, over time, in this region are associated with carrying the risk allele of rs9394721, a close proxy for the newly discovered risk variant, rs75932628, in TREM2 (r2=0.492; see Supplement). We report that TREM2 mutation carriers annually lose brain tissue up to 1.4–3.3% faster than non-carriers, in a pattern that mirrors the profile of AD pathology in the brain (Figure 1). Mutation carriers lose brain tissue twice as fast as healthy elderly people (Table 2S). After adjusting for age and sex, the risk allele was also significantly associated with smaller hippocampal volumes, elevated levels of cerebrospinal fluid (CSF) biomarker p-tau181p, which are usually observed in AD (5), and poorer cognitive performance (see Supplement) based on the standard clinical dementia rating scale (CDR) and Alzheimer’s Disease Assessment Scale (ADAS-cog), assessed at baseline MRI scan and after 24 months’ follow-up (Table 1S). The TREM2 risk variant may affect signaling by TREM2 receptors expressed on microglial cells in the brain, perhaps interfering with the anti-inflammatory functions of these cells and their removal of apoptotic tissue. This may affect brain amyloid clearance, leading to AD-like neurodegeneration and accelerated cognitive decline (2). Selection of carriers of this risk variant and probably other TREM2 risk variants for enrollment in trials of interventions to treat persons with Alzheimer’s disease, in which MRI scans are used in obtaining outcomes, should increase the power of such trials.

Figure 1.

Figure 1

At a 24-month follow-up scan, these 3D regression coefficient maps show brain volume differences in the temporal lobe associated with carrying the TREM2 risk allele. The risk allele carriers showed significantly accelerated brain atrophy from 1.4–3.3% in the statistical region of interest (FDR critical p = 0.0036; q = 0.05). Statistical tests were performed using permutation tests, which are robust in the presence of outliers and small sample sizes (see Supplement). The figure is shown in the radiological convention (left side of the image is the right hemisphere).

Supplementary Material

Appendix

Acknowledgments

Funding sources: Data collection and sharing for this project was funded by ADNI (NIH Grant U01 AG024904). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: Abbott; Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; Amorfix Life Sciences Ltd.; AstraZeneca; Bayer HealthCare; BioClinica, Inc.; Biogen Idec Inc.; Bristol-Myers Squibb Company; Eisai Inc.; Elan Pharmaceuticals Inc.; Eli Lilly and Company; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; GE Healthcare; Innogenetics, N.V.; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Medpace, Inc.; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Servier; Synarc Inc.; and Takeda Pharmaceutical Company. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of California, Los Angeles. This research was also supported by NIH grants P30 AG010129 and K01 AG030514. Algorithm development for this study was also funded by the NIA, NIMH, NINDS, NIBIB, and the National Center for Research Resources (EB008281, EB015922, MH097268, NS080655, AG040060, and AG016570 to PT). Investigators within ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. For a complete listing of ADNI investigators, please see: http://adni.loni.ucla.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf

Footnotes

Financial disclosure

The authors have no competing financial interests to declare.

References

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