Background: Rare variants of the triggering receptor expressed on myeloid cell 2 (TREM2) gene are strong risk factors for Alzheimer's disease (AD), and drugs targeting the TREM2 protein are being developed. However, it is unknown what the effect of TREM2 variants is on the AD phenotype.
Methods: Here we studied a full range of clinical and biomarker measures in a large cohort of TREM2 variant carriers (n = 123, 7.8%, i.e., R62H n = 66, R47H n = 26, T96K n = 16, other TREM2 variants n = 17) compared to confirmed non-carriers (n = 1,459) with biomarker confirmed symptomatic AD from Amsterdam Dementia Cohort. Secondly, we explored whether specific TREM2 variants were associated with distinct clinical measures compared to the reference group, i.e. non-carriers, within the same cohort.
Results: TREM2 variant carriers (64 ± 7 years, 54% female) did not show distinct clinical measures of AD at presentation compared to AD patients not carrying a TREM2 variant (64 ± 7 years, 52% female). We observed no differences in MMSE, neuropsychological domains (except less impaired visuospatial functioning in TREM2 carriers), MRI scores, CSF biomarkers, EEG, structural MRI (41 ROIs) and Tau-PET scans of four carriers (R62H, R47H, G58A, D87N). Carriers did show faster cognitive decline (MMSE points per year 0.6 ± 0.3, P = 0.099) compared to non-carriers. Notably, both R47H and T96K carriers exhibited faster cognitive decline (P < 0.05), and R47H carriers even showed an increased rate of death after diagnosis (P = 0.034). In contrast to the shared cognitive decline, these variants showed different results for other measures at baseline.
Conclusions: This study shows that while carriers of TREM2 risk variants cannot be distinguished based on clinical presentation at baseline compared to non-carriers, they do exhibit a faster global cognitive decline. Variant-specific analyses indicate that especially R47H and T96K carriers drive this association. These results highlight the importance of considering variant-specific effects for understanding the role of TREM2 biology in AD. The rich phenotype information can inform clinical stage drug development.
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http://dx.doi.org/10.1186/s13195-025-01700-2 | DOI Listing |
Plasma levels of protein biomarkers glial fibrillary acidic protein (GFAP) and neurofilament light (NEFL) are key dementia biomarkers, but it is unclear how risk genes for Alzheimer's disease (AD) influence levels of these biomarkers. We investigated the association of the established high-effect variants for AD in and with these biomarkers, using data from over 50,000 participants from the UK Biobank (UKB). The results show that is associated with elevated levels of plasma GFAP, and to a lesser extent, NEFL.
View Article and Find Full Text PDFBrain Res
March 2025
Leicester Grammar School, London Road, Great Glen, Leicester, UK. Electronic address:
Background: According to the NIA-AA guidelines, pathological diagnosis as Intermedia (I) or High (H) via ABC scores qualifies as pathological Alzheimer's disease (AD). Multiple studies indicated that some individuals, while pathologically diagnosed with AD, maintain normal cognitive function during their lifetime, here defined as resilient AD (rAD). In contrast to typical AD (tAD), characterized by both pathological AD diagnosis and dementia, rAD brains exhibited no significant differences in AD pathology but showed increased synapse numbers.
View Article and Find Full Text PDFAlzheimers Res Ther
March 2025
Genomics of Neurodegenerative Diseases and Aging, Department of Human Genetics, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.
Background: Rare variants of the triggering receptor expressed on myeloid cell 2 (TREM2) gene are strong risk factors for Alzheimer's disease (AD), and drugs targeting the TREM2 protein are being developed. However, it is unknown what the effect of TREM2 variants is on the AD phenotype.
Methods: Here we studied a full range of clinical and biomarker measures in a large cohort of TREM2 variant carriers (n = 123, 7.
Neurol Res
March 2025
Faculty of Sciences of Tunis, Tunis El Manar University, Tunis, Tunisia.
Background: Alzheimer's disease (AD) is the leading cause of major neurodegenerative cognitive impairment. The risk of developing AD is influenced by a complex interaction of genetic predisposition and environmental factors. Among the genetic risk factors, the APOE ɛ4 allele is the most significant, while variants in the TREM2 (Triggering Receptor Expressed on Myeloid Cells 2) and ABCA7 (ATP-binding cassette transporter A7) genes have also been associated with an increased risk of AD.
View Article and Find Full Text PDFComput Struct Biotechnol J
January 2025
Department of Neurosciences, University of California San Diego, Medical Teaching Facility, 9500 Gilman Drive, La Jolla, CA 92093-0624, USA.
AlphaFold2 (AF2) has spurred a revolution in predicting unresolved structures of wild-type proteins with high accuracy. However, AF2 falls short of predicting the effects of missense mutations on unresolved protein structures that may be informative to efforts in personalized medicine. Over the last decade, countless in-silico methods have been developed to predict the pathogenicity of point mutations on resolved structures, but no studies have evaluated their capabilities on unresolved protein structures predicted by AF2.
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