This scientific commentary refers to ‘Sex differences in the genetic architecture of
cognitive resilience to Alzheimer’s disease’ by EissmanThe accumulation of the neuropathological hallmarks of Alzheimer’s disease, i.e. amyloid-β
plaques and neurofibrillary tau tangles, is associated with neurodegeneration and cognitive
decline, eventually resulting in mild cognitive impairment and dementia. However, some
individuals show remarkable resilience to Alzheimer’s disease by retaining better cognitive
performance than expected based on levels of pathology. This is illustrated by studies
indicating that many nonagenarians and centenarians remain cognitively healthy despite high
levels of neuropathology.[1]Overview of the study and key findings of Eissman and colleagues.Inter-individual differences in resilience to Alzheimer’s disease are thus a robust finding
in the literature but, due to the complex pathogenesis of Alzheimer’s disease, the mechanisms
that underlie this resilience are incompletely understood. Nevertheless, evidence is mounting
that one’s genetic architecture might be instrumental in conferring resilience. For example,
those who maintain high levels of cognitive health until extreme ages have lower polygenic
risk scores for Alzheimer’s disease, indicating that they harbour fewer genetic variants
associated with an increased Alzheimer’s disease risk and relatively more genetic variants
that protect against Alzheimer’s disease.[2]Furthermore, a recent genome-wide association study (GWAS) reported that a cluster of single
nucleotide polymorphisms (SNPs) on chromosome 18 is related to resilience. The cluster is
located upstream of ATP8B1, which encodes the enzyme aminophospholipid
translocase, highlighting the association between brain health and the transport of specific
phospholipids from the extracellular space to the cytoplasmic leaflet.[3] Accordingly, rare variants in the
ATP8B4 gene, which also encodes a phospholipid transporter, were found to
be associated with an increased risk of Alzheimer’s disease.[4] Such findings may prove valuable in developing new
therapeutic interventions to promote the maintenance of brain health.Intriguingly, sex-specific differences in responses to brain pathology have also been
reported. While outcomes with regard to these sex-specific associations vary across
assessments, several studies have now indicated that females accumulate pathology at faster
rates than males,[5] while at the same
time females have also been shown to better preserve brain structure compared to males with
similar levels of tau pathology.[6]
This suggests that females may have lower resistance to the accumulation of pathology but
higher resilience to its downstream detrimental effects. The mechanisms underlying these
sex-dependent associations between pathology and cognition are still unclear. In this issue of
Brain, Eissman and colleagues[7] investigate whether sex-specific genetic factors contribute to cognitive
resilience against Alzheimer’s disease pathology (Fig.
1).
Figure 1
Overview of the study and key findings of Eissman and colleagues.
In any assessment of cognitive resilience, which is defined as the (im)balance between
cognition and pathology, the selection of cognitive and pathological markers is key. In this
work, the authors used amyloid-β as the pathological marker, which is commonly observed first
in the Alzheimer’s disease neuropathological cascade (amyloid-β pathology → neocortical tau
pathology → neurodegeneration → cognitive decline) and typically becomes abnormal long before
symptom onset. To obtain amyloid pathology measures, the authors harmonized two autopsy
cohorts [Adult Changes in Thought (ACT); and Religious Order Study/Memory and Aging Project
(ROS/MAP)], and two amyloid-PET cohorts [Alzheimer’s Disease Neuroimaging Initiative (ADNI)
and Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Disease (A4-study)]. This resulted in a
total (i.e. autopsy and amyloid-PET combined) sample size of 5024 subjects (2093 males and
2931 females) including both cognitively unimpaired and impaired (mild cognitive impairment
and dementia) subjects.To measure the other essential component of cognitive resilience, namely cognitive
performance, the authors assessed several sensitive markers of early Alzheimer’s
disease-related cognitive decline. Using linear regression models, the authors then determined
for each participant the deviation of their cognitive performance relative to what is expected
based on their degree of amyloid pathology (i.e. the residual approach). An individual with
better cognitive performance (Y variable) than expected based on their level
of amyloid pathology (X variable) is considered resilient, whereas poorer
performance than expected indicates low cognitive resilience. In a second resilience metric,
the authors additionally incorporated educational attainment. Of note, this combined
resilience score, as well as educational attainment, were higher in males, whereas amyloid
positivity and Alzheimer’s disease dementia were both more prevalent in females.The primary analyses comprised sex-aware genetic analyses of cognitive resilience. On the
autopsy and amyloid-PET datasets individually, and for each cognitive resilience measure
separately, the authors performed a sex-stratified GWAS and sex-interaction GWAS by comparing
resilient individuals with non-resilient individuals, whereafter the results were
meta-analysed. They applied this approach to the entire sample; to cognitively unimpaired
individuals only; to the autosomal chromosomes; and to the X chromosome only. Further, the
authors focused on known Alzheimer’s disease-associated variants identified in previous
case–control GWASs. To examine whether relationships between the polygenic architecture of
resilience and the genetic architecture that predisposes to a range of complex traits differ
between the sexes, the authors performed genetic correlation analyses.Across all comparisons, the authors identified a novel genome-wide significant
female-specific locus on chromosome 10 (rs827389), which was associated with a higher combined
resilience score but only among cognitively unimpaired subjects. This locus is expressed in
various tissues including foetal and adult cortex, and the locus maps within chromatin loops
that interact with the promoter regions of multiple genes involved in RNA processing. These
include GATA3, which is, in turn, associated with neuronal development,
immune T-cell fate and amyloid autoantibody production. Using genetic correlation analyses,
the authors found that higher resilience was associated with reduced genetic risk for
autoimmune traits like lupus, multiple sclerosis and coeliac disease among females, whereas
increased genetic risk was observed among males. The identification of the immune-related
locus on chromosome 10, in conjunction with the genetic correlation analyses pointing towards
autoimmune-related pathways, hints at possibilities for interventions targeting immune-related
pathways in females specifically. For males, previously established Alzheimer’s disease
genetic loci MS4A6A and SORL1 were associated with higher
resilience, while PTK2B and KAT8 were associated with lower
resilience; these associations were not observed in females. PICALM was
associated with lower resilience in males and with higher resilience in females. Notably, the
authors did not find an APOE-by-sex effect. Lastly, genetic correlation
analyses revealed that possible targets to enhance resilience for males might reside in
pathways relating to cardiovascular health, specifically heart rate variability.The main findings thus suggest that sex differences in resilience to amyloid pathology may be
driven by genetic factors. However, as the authors acknowledge, sex-specific genetic drivers
of resilience need to be further explored in future studies, and the findings of the present
study should be interpreted in light of some potential limitations. First, studying the
genetic contribution to a complex phenotype like ‘resilience to amyloid pathology’ requires a
large sample size, and amyloid-PET and autopsy datasets were pooled to feed into the
resilience phenotype. This hampers the interpretability of genetic associations as there may
be inherent differences between post-mortem autopsy cohorts and in vivo
neuroimaging cohorts relating to differences in recruitment strategies and demographic
characteristics. Moreover, it should be noted that neuropathology does not equal
‘PEThology’.Second, resilience was defined based on amyloid pathology. There is a long delay between the
emergence of amyloid and the manifestation of clinical symptoms, and many downstream processes
like neocortical tau accumulation and neurodegeneration occur after widespread amyloidosis. It
is therefore unclear whether the sex-specific genetic drivers of resilience observed here are
related to amyloid-β specifically or to (combinations of) the downstream processes. Further,
amyloid pathology, especially cross-sectionally, is only modestly related to cognition. When
determining resilience based on residuals, the association between predictor and outcome needs
to be of sufficient magnitude to provide an estimate of resilience that has substantially more
predictive power than the original cognitive score on which the residual is based.[8] The effects of sex-specific genetic
drivers of resilience reported here may therefore be driven by differences in cognitive
performance, rather than reflecting resilience to Alzheimer’s disease pathology. The
operationalization of resilience using amyloid as the pathological marker could also explain
why an APOE × sex effect was not found, as the Alzheimer’s disease
risk-modifying effects of APOE mainly operate through amyloidogenic
pathways.Third, as acknowledged by the authors, the generalizability of the results may be limited by
the predominance of non-Hispanic white, highly educated study participants. Fourth, genetic
analyses need samples of considerable size, and the required sample size increases when
assessing a complex phenotype like resilience (heritability among cognitively unimpaired
subjects of both sexes estimated at 20–25% by the authors), compared to a more robust
phenotype such as ‘having Alzheimer’s disease’ (estimated heritability ∼70% based on twin
studies[9]). This is further
exacerbated by sex stratification. While the sample size of ∼5000 well-phenotyped individuals
is commendable because a resilience measure requires the availability of both a pathological
and a cognitive marker at a similar time point, we stress the importance of replicating these
findings in independent, and preferentially larger, samples.To conclude, previous literature has shown that females are less resistant but more resilient
to Alzheimer’s disease pathology than males. The current work suggests that genetic factors
may contribute to the emergence of these sex-specific effects. While the findings in this work
need replication in an independent dataset, they should encourage increased focus on sex
stratification and sex interactions in genetic studies. Future possible avenues of research
include the assessment of sex-specific genetic drivers of resilience to tau pathology or
neurodegenerative markers, which show a stronger link with cognition and may provide a more
robust estimate of resilience. Finally, assessment of genetic factors that underlie resistance
to pathology (i.e. preventing its accumulation despite the presence of risk factors) will also
be key, and these may be even more genetically determined than resilience.[10]
Authors: Margaret Gatz; Chandra A Reynolds; Laura Fratiglioni; Boo Johansson; James A Mortimer; Stig Berg; Amy Fiske; Nancy L Pedersen Journal: Arch Gen Psychiatry Date: 2006-02
Authors: Nina Beker; Sietske A M Sikkes; Marc Hulsman; Niccolò Tesi; Sven J van der Lee; Philip Scheltens; Henne Holstege Journal: JAMA Netw Open Date: 2020-02-05
Authors: Jaclyn M Eissman; Logan Dumitrescu; Emily R Mahoney; Alexandra N Smith; Shubhabrata Mukherjee; Michael L Lee; Phoebe Scollard; Seo Eun Choi; William S Bush; Corinne D Engelman; Qiongshi Lu; David W Fardo; Emily H Trittschuh; Jesse Mez; Catherine C Kaczorowski; Hector Hernandez Saucedo; Keith F Widaman; Rachel F Buckley; Michael J Properzi; Elizabeth C Mormino; Hyun Sik Yang; Theresa M Harrison; Trey Hedden; Kwangsik Nho; Shea J Andrews; Douglas Tommet; Niran Hadad; R Elizabeth Sanders; Douglas M Ruderfer; Katherine A Gifford; Xiaoyuan Zhong; Neha S Raghavan; Badri N Vardarajan; Margaret A Pericak-Vance; Lindsay A Farrer; Li San Wang; Carlos Cruchaga; Gerard D Schellenberg; Nancy J Cox; Jonathan L Haines; C Dirk Keene; Andrew J Saykin; Eric B Larson; Reisa A Sperling; Richard Mayeux; Michael L Cuccaro; David A Bennett; Julie A Schneider; Paul K Crane; Angela L Jefferson; Timothy J Hohman Journal: Brain Date: 2022-07-29 Impact factor: 15.255
Authors: Rachel F Buckley; Matthew R Scott; Heidi I L Jacobs; Aaron P Schultz; Michael J Properzi; Rebecca E Amariglio; Timothy J Hohman; Danielle V Mayblyum; Zoe B Rubinstein; Lyssa Manning; Bernard J Hanseeuw; Elizabeth C Mormino; Dorene M Rentz; Keith A Johnson; Reisa A Sperling Journal: Ann Neurol Date: 2020-08-31 Impact factor: 10.422
Authors: Logan Dumitrescu; Emily R Mahoney; Shubhabrata Mukherjee; Michael L Lee; William S Bush; Corinne D Engelman; Qiongshi Lu; David W Fardo; Emily H Trittschuh; Jesse Mez; Catherine Kaczorowski; Hector Hernandez Saucedo; Keith F Widaman; Rachel Buckley; Michael Properzi; Elizabeth Mormino; Hyun-Sik Yang; Tessa Harrison; Trey Hedden; Kwangsik Nho; Shea J Andrews; Doug Tommet; Niran Hadad; R Elizabeth Sanders; Douglas M Ruderfer; Katherine A Gifford; Annah M Moore; Francis Cambronero; Xiaoyuan Zhong; Neha S Raghavan; Badri Vardarajan; Margaret A Pericak-Vance; Lindsay A Farrer; Li-San Wang; Carlos Cruchaga; Gerard Schellenberg; Nancy J Cox; Jonathan L Haines; C Dirk Keene; Andrew J Saykin; Eric B Larson; Reisa A Sperling; Richard Mayeux; David A Bennett; Julie A Schneider; Paul K Crane; Angela L Jefferson; Timothy J Hohman Journal: Brain Date: 2020-08-01 Impact factor: 13.501
Authors: Niccolò Tesi; Sven J van der Lee; Marc Hulsman; Iris E Jansen; Najada Stringa; Natasja van Schoor; Hanne Meijers-Heijboer; Martijn Huisman; Philip Scheltens; Marcel J T Reinders; Wiesje M van der Flier; Henne Holstege Journal: Eur J Hum Genet Date: 2018-09-26 Impact factor: 4.246
Authors: Rik Ossenkoppele; Chul Hyoung Lyoo; Jonas Jester-Broms; Carole H Sudre; Hanna Cho; Young Hoon Ryu; Jae Yong Choi; Ruben Smith; Olof Strandberg; Sebastian Palmqvist; Joel Kramer; Adam L Boxer; Maria L Gorno-Tempini; Bruce L Miller; Renaud La Joie; Gil D Rabinovici; Oskar Hansson Journal: JAMA Neurol Date: 2020-05-01 Impact factor: 18.302
Authors: Diana I Bocancea; Anna C van Loenhoud; Colin Groot; Frederik Barkhof; Wiesje M van der Flier; Rik Ossenkoppele Journal: Neurology Date: 2021-07-15 Impact factor: 9.910