Identical twins share the same womb, the same genome—and, it turns out, the same pattern of neurofibrillary tangles. This, according to a paper published January 12 in Brain. Led by Anouk den Braber and Pieter Jelle Visser at VU Amsterdam, the study compared the burden of tau tangles, and their regional distribution, among 39 pairs of identical twins who were in their 60s and 70s, some of whom tested positive for Aβ plaques.

  • Among 39 sets of identical twins, tau accumulated in similar regions within each pair.
  • A person's tau-PET scan alone picked out his or her twin with 86 percent accuracy.
  • Twins with discordant tau patterns also differed in amyloid status or lifestyle.

For most of the twins, tau deposited in both siblings in a strikingly similar pattern, so much so that the researchers were able to identify a person’s twin with 86 percent accuracy based solely on his or her tau-PET scan. Some twin pairs had discordant patterns of tau accumulation. Those were more likely seen in twins who differed in their Aβ status. Intriguingly, lifestyle factors also tracked with these differences, such that the twin who was less physically or socially active tended to have more tau tangles.

“I think the study is truly intriguing and novel,” commented Oskar Hansson of Lund University in Sweden. “It confirms that genetics plays a very important role in the pathogenesis of AD, and it indicates that genetic variations might also influence where in the brain tau fibrils tend to accumulate.”

Twin Power. Pairs of identical twins enrolled in the EMIF-AD PreclinAD cohort are helping scientists address how genetics and lifestyle each contribute to Alzheimer’s disease. [Courtesy of Pieter Jelle Visser, VU Amsterdam.]

Monozygotic twins are genetically identical, offering researchers the opportunity to tease apart genetic and environmental contributions to myriad traits and diseases. To explore this in AD, the researchers recruited 94 pairs of monozygotic twins from the Netherlands Twins Register. Together with 93 single individuals recruited from the Manchester and Newcastle Age and Cognitive Performance Research Cohort, the resulting cohort, dubbed EMIF-AD PreclinAD, included 285 cognitively normal participants over the age of 60 (Konijnenberg et al., 2018). At baseline, participants underwent amyloid-PET scans, functional and resting-state MRI, neuropsychological evaluations, blood sampling, and physical exams. The twin cohort volunteered for further tests, including CSF sampling, magnetoencephalography, optical coherence tomography, and retinal imaging. Four years later, participants returned for follow-up evaluations, as well as a tau-PET scan.

Previously, the researchers had reported remarkable concordance within twins for vascular risk factors, including white-matter hyperintensities, which have been correlated with cognitive decline (Ten Kate et al., 2018; Jan 2020 news). They also found that AD biomarkers, including amyloid and CSF phospho-tau, arose in a coordinated fashion in many twins, confirming that AD pathogenesis has a strong genetic component (Konijnenberg et al., 2019; Konijnenberg et al., 2021). 

Still, genes weren't everything, There were cases of discordance, for example where one twin accumulated amyloid plaques while the other didn’t. The scientists can now leverage these differences to learn how environmental factors might have influenced the onset and progression of AD in those twins.

But first, the authors wanted to know how genetics influences when and where tau tangles start to accumulate in a person's brain. First author Emma Coomans and colleagues addressed these questions in the current study. Among the 78 participants, 15 had been amyloid-positive four years prior. Thirty-two twin pairs were concordant for amyloid status, including four pairs who were amyloid-positive and 28 who were amyloid-negative. Among the remaining seven pairs, only one twin tested positive for amyloid.

How about tau? Even by visual inspection of tau-PET scans, the researchers noticed that uptake of the flortaucipir tracer was similar, both in intensity and distribution, in most twin pairs. In quantitative analysis of tracer uptake, they found that global tau burden was more similar within a given twin pair than it was among other age-matched participants.

This was also true in specific brain regions, where twins had similar tau tangle burden in the entorhinal and neocortical regions—corresponding to Braak stage I and Braak V-VI, respectively. However, tau accumulation in the temporal composite regions—representing Braak III-IV—was no more similar between twins than it was among other age-matched participants. Might these within-twin-pair differences in tau accumulation relate to within-twin-pair differences in amyloid status? Indeed, when the researchers set aside the seven twin pairs who had been discordant for amyloid, tau accumulation strongly correlated in twins in all brain regions of interest, including Braak III-IV. In contrast, tau-tangle burden did not correlate in any region within amyloid-discordant twin pairs. The findings support the idea that Aβ deposition is strongly tied to patterns of subsequent tau tangle accumulation.

Identical Twin, Identical Tau? The distribution of tau tracer uptake is shown for two pairs of twins: one with similar (top) and one with discordant (bottom) tau tangle patterns. Twins with similar tau distributions are both amyloid-negative. One of the twins with dissimilar tau was amyloid positive (bottom left). [Courtesy of Coomans et al., Brain, 2022.]

The researchers also compared each participant’s distribution of tau tangles, voxel by voxel, to those of every other participant. They found the spatial distribution of tau tangles within most twin pairs more highly correlated than it was for non-twin pairings. Notably, for 86 percent of participants, spatial distribution of tau more strongly matched to their co-twin than to any other participant.

While similarities in the landscape of tau tangles between twins predominated, there were also some differences. Could environmental factors play a role in those? To find out, the investigators asked whether within-pair tau differences correlated with within-pair differences in lifestyle factors. They had data including scores on the geriatric depression scale, the physical activity scale for the elderly, as well as self-reported involvement in social activities. Indeed, twins who were less physically or socially active, or who had more depressive symptoms, were likelier to bear a greater burden of tau tangles than their siblings. These associations held, at least in some regions of the brain, even when the researchers corrected for amyloid status. This suggested that lifestyle at least partly influences tau accumulation independent from amyloid.

Together, the findings suggest that genetics plays a strong part not only in the overall burden of tau tangles, but in their regional distribution. This genetic contribution was true even among people without amyloid, in whom tau deposition was confined to the medial temporal lobe. How might genetics dictate exactly where tau starts to tangle? The answer may come down to risk, noted Visser. Perhaps genetic background dictates which regions are more vulnerable to tau accumulation, he said.

Importantly, while nature clearly plays a strong hand in dictating when and where tau accumulates, nurture—i.e., lifestyle factors—also partly determines when AD pathogenesis starts. Future studies should help tease out if differences in tau deposition within twin pairs are merely a matter of stage—i.e., the same cascade occurs in both twins but starts at different age, or whether the twins are on different trajectories entirely. Visser noted that at baseline, 14 twin pairs had been discordant for amyloid. Of those, only seven remained in the study for the tau-PET follow-up scan. Of those seven pairs, three had become concordant for amyloid upon follow-up, raising the possibility that they were at different stages along the same disease trajectory. However, the amyloid status at follow-up was not used in the current study.

“While performed in a relatively small, cross-sectional sample, the early returns from this study support the idea that the genome influences regional vulnerability to tau accumulation,” commented Jacob Vogel of the University of Pennsylvania in Philadelphia. “At the same time, the study provides a hopeful message that one’s genome does not fully determine the fate of one’s brain, suggesting that the onset of dementia might be delayed by modifying aspects of one’s environment,” he wrote. Indeed, the findings support the broad conclusions from numerous studies suggesting that leading a healthy life can stave off dementia (Jul 2014 news; Mar 2018 news; Aug 2021 news). “This study inspires many very interesting questions that demand further investigation,” Vogel added.

Visser said ongoing studies will measure plasma biomarkers—both Aβ and p-tau—in stored blood samples taken from volunteers in the National Twin Register for 10 years prior to when they joined the PreclinAD study. This will teach him more about how genetics influence when, and if, AD biomarkers become positive. Importantly, Visser hopes to boost the power of this study by retrospectively measuring plasma biomarkers of participants in the Netherlands Twins Register cohort who never enrolled in PreclinAD.

Other twin cohorts are also investigating the heritability of AD, and have so far found at least moderate similarities within twin pairs in the presence of amyloid plaques (Lindgren et al., 2021; Koncz et al., 2021).—Jessica Shugart

Comments

  1. I think the study is truly intriguing and novel. The study confirms that genetics plays a very important role in the pathogenesis of AD, and it indicates that genetic variations might also influence where in the brain tau fibrils tend to accumulate.

    However, only 15 (19 percent) of the included twins exhibited Aβ accumulation, and more cases will be needed to better understand how much of the genetic effects on tau accumulation are mediated by Aβ accumulation. Therefore,  it will be very exciting to see future studies including more participants with AD, and preferably also individuals with more widespread tau pathology.

  2. More so than the other hallmark pathology of Alzheimer's disease, Aβ, the distribution of tau pathology appears to determine where neurodegeneration will occur and what aspects of cognition are impaired (La Joie et al., 2020; Bejanin et al., 2017). In addition, autopsy and in vivo PET studies suggest the distribution of tau pathology differs substantially across individuals (Murray et al., 2011; Vogel et al., 2021). Understanding what causes these differences may be informative toward understanding the genesis of tau pathology.

    How large a role does the genome play in determining individual differences in the timing and trajectory of tau pathology? This is one of the main underlying questions of this fascinating study by Emma Coomans and colleagues. The study examines the degree to which 78 cognitively unimpaired monozygotic twins show concordance in the magnitude and distribution of tau pathology, measured using positron emission tomography (PET). Coomans et al. find that the extent and distribution of tau pathology within twin-pairs is largely concordant, with discordance mainly stemming from twin pairs who also show discordant Aβ pathology.

    Interestingly, twins with discordant tau magnitude still often showed a similar tau distribution. Looking across a full suite of environmental measures relevant to dementia, Coomans et al. find twin pairs with discordant pathology also tend to differ in their degree of depression, (health-related) social activity, and physical activity.

    While performed in a relatively small, cross-sectional sample, the early returns from this study support the idea that the genome influences regional vulnerability to tau accumulation, but that environmental factors may alter the disease timeline. This opens the door for future research to investigate links between genetic polymorphisms, brain gene expression, and regional vulnerability to AD pathology, hopefully paving the way toward individualized treatment.

    At the same time, the study provides a hopeful message that one’s genome does not fully determine the fate of one’s brain, suggesting that the onset of dementia might be delayed by modifying to-be-determined aspects of one’s environment.

    The study also provides opportunities to investigate other biological factors that might mediate twin-pair discordance. Are there brain-network properties that are present in more resilient twins? When during the lifespan do such differences emerge? This study inspires many very interesting questions that demand further investigation. 

    Other interesting findings abound in this well-executed study. The authors should be commended for collecting this rare and valuable dataset, and for providing an analysis rich in insight.

    References:

    . Tau pathology and neurodegeneration contribute to cognitive impairment in Alzheimer's disease. Brain. 2017 Dec 1;140(12):3286-3300. PubMed.

    . Prospective longitudinal atrophy in Alzheimer's disease correlates with the intensity and topography of baseline tau-PET. Sci Transl Med. 2020 Jan 1;12(524) PubMed.

    . Neuropathologically defined subtypes of Alzheimer's disease with distinct clinical characteristics: a retrospective study. Lancet Neurol. 2011 Sep;10(9):785-96. PubMed.

    . Four distinct trajectories of tau deposition identified in Alzheimer's disease. Nat Med. 2021 May;27(5):871-881. Epub 2021 Apr 29 PubMed.

  3. It is not inconceivable that in the future, we will use the genome to predict, before symptoms occur, who is at risk of developing a specific neurodegenerative disease later in life. Therefore, it is reassuring that aspects of this genetic risk can be already be observed in the earliest tau stages.

    In fact, it is interesting that the genetic component for distinct preclinical aspects of neurodegenerative diseases is substantial: this opens the way toward preclinical treatment, at the earliest stages, of those with an increased genetic risk of disease.

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References

News Citations

  1. Vascular Dysfunction Taxes Cognition, but Not Via Amyloid, AD
  2. Healthy Lives, Healthy Minds: Is it Really True?
  3. 44-Year Study Ties Midlife Fitness to Lower Dementia Risk
  4. Can Exercise Protect People Whose Plasma Tau Is Up?

Paper Citations

  1. . The EMIF-AD PreclinAD study: study design and baseline cohort overview. Alzheimers Res Ther. 2018 Aug 4;10(1):75. PubMed.
  2. . White matter hyperintensities and vascular risk factors in monozygotic twins. Neurobiol Aging. 2018 Jun;66:40-48. Epub 2018 Feb 10 PubMed.
  3. . Association of amyloid pathology with memory performance and cognitive complaints in cognitively normal older adults: a monozygotic twin study. Neurobiol Aging. 2019 May;77:58-65. Epub 2019 Jan 21 PubMed.
  4. . Onset of Preclinical Alzheimer Disease in Monozygotic Twins. Ann Neurol. 2021 May;89(5):987-1000. Epub 2021 Mar 4 PubMed.
  5. . Episodic memory and cortical amyloid pathology: PET study in cognitively discordant twin pairs. Neurobiol Aging. 2021 Dec;108:122-132. Epub 2021 Sep 3 PubMed.
  6. . The heritability of amyloid burden in older adults: the Older Australian Twins Study. J Neurol Neurosurg Psychiatry. 2022 Mar;93(3):303-308. Epub 2021 Dec 17 PubMed.

Further Reading

No Available Further Reading

Primary Papers

  1. . Genetically identical twins show comparable tau PET load and spatial distribution. Brain. 2022 Jan 12; PubMed.