Sex differences in Alzheimer’s-related Tau biomarkers and a mediating effect of testosterone

doi:10.21203/rs.3.rs-23746/v1

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Sex differences in Alzheimer’s-related Tau biomarkers and a mediating effect of testosterone

https://doi.org/10.21203/rs.3.rs-23746/v1

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published 19 Jun, 2020

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Women show greater pathological Tau biomarkers than men along the Alzheimer’s disease (AD) continuum, particularly among apolipoprotein ε-E4 (APOE4) carriers; however, the reason for this sex difference in unknown. Sex differences often indicate an underlying role of sex hormones. We examined whether testosterone levels might influence this sex difference and the modifying role of APOE4 status. Analyses included 172 participants (25 cognitively normal, 97 mild cognitive impairment, 50 AD participants) from the Alzheimer’s Disease Neuroimaging Initiative (34% female, 54% APOE4+, aged 55–90). We examined the separate and interactive effects of plasma testosterone levels and APOE4 on cerebrospinal fluid phosphorylated-tau181 (p-Tau) levels in the overall sample, and the sex difference in p-Tau levels before and after adjusting for testosterone. A significant APOE4-by-testosterone interaction revealed that lower testosterone levels related to higher p-Tau levels among APOE4 carriers regardless of sex. As expected, women had higher p-Tau levels than men among APOE4 carriers only, yet this difference was eliminated upon adjustment for testosterone. Results suggest that testosterone is protective against p-Tau particularly among APOE4 carriers. The lower testosterone levels that typically characterize women may predispose them to pathological Tau, particularly among female APOE4 carriers.

Cognitive Neuroscience

Alzheimer’s disease

phosphorylated-Tau

testosterone

APOE

sex

cerebrospinal fluid

There are critical gaps in our understanding of sex differences in Alzheimer’s disease (AD) including the higher prevalence of AD [1, 2], the steeper cognitive decline [3–5] and a stronger effect of the apolipoprotein E ε4 allele (APOE4) on AD risk in women versus men [6–8]. Sex differences in underlying AD pathology have also been reported, with higher levels of pathological tau (referred here simply as “Tau”) in women versus men who are either diagnosed with or are at-risk for AD [9–12]. Evidence of this sex difference in Tau stems from autopsy [12], neuroimaging [9] and cerebrospinal fluid (CSF) [10] studies among men and women who are either diagnosed with AD, or at-risk for AD by way of the APOE4 allele or clinically-significant beta-amyloid (Aβ) plaque deposition in the brain. Because Tau topography is closely tethered to clinical presentation [13], the higher levels of Tau in women may be a contributing factor to the higher prevalence and more aggressive clinical profile of AD in women.

The reasons for higher levels of Tau in women are unknown; however, a potential mechanism may stem from differences in sex hormones. Animal studies report a protective role of testosterone against the hyperphosphorylation of tau (p-Tau) [14–16], suggesting that the typically lower testosterone levels in women may be a risk factor for pathological Tau. In female rats, the induction of hyperphosphorylated tau via heat shock was prevented by testosterone but not estradiol [16]. In the 3xTg-AD triple-transgenic male mouse model of AD, experimental androgen depletion through gonadectomy led to accelerated development of tau hyperphosphorylation as well as amyloid-β (Aβ) plaques [14]. These adverse effects on AD pathology; however, were prevented by either testosterone or estradiol treatment, suggesting that the protective effects of testosterone may be mediated through its metabolization to estradiol [14]. In women, circulating estradiol levels plummet to floor levels during menopause, whereas post-menopausal women continue to demonstrate a range of circulating testosterone levels that continue to be lower than levels in men [17]. Despite this sex difference in hormone levels, most studies examining links between testosterone and AD-related outcomes have been solely in men [18–23], and the link between testosterone and Tau has been minimally examined in humans.

Despite some inconsistencies [24, 25], a wealth of evidence indicates an association between low testosterone levels, poorer cognitive function [26–30], and greater odds or risk for AD [18, 20–23, 31, 32], with these associations more clearly defined in men [18, 20, 32, 21–23, 26–29, 31] than in women [26, 27]. Suggestive of a more causative than consequential role for testosterone on AD-related outcomes, longitudinal studies have shown that low free and/or total testosterone levels precede development of AD dementia [23] and cognitive dysfunction on measures of global cognition [26, 29] and episodic memory [29]. Furthermore, exogenous testosterone supplementation led to improved performance over time in a range of cognitive domains including global cognition [19, 33], psychomotor speed [33], executive function [33], and spatial and verbal memory [34, 35], although not always [36].

Animal and human studies demonstrate that the effects of testosterone may depend on APOE genotype. The APOE4 allele is associated with lower testosterone levels in men [31], and with downregulation of androgen receptors in mice, resulting in reduced binding of testosterone [37]. In male mice, APOE4 carriers showed greater cognitive deficits after castration than APOE3 carriers, [37, 38] and, in female mice, testosterone treatment led to improved spatial learning and memory in APOE4, but not APOE3 carriers [37] suggesting that APOE4 carriers are more sensitive to the effects of testosterone on cognition. In humans, the pattern of effects revealed by the APOE4 by testosterone interactions is less consistent. In a sample of middle-aged men (mean age = 55), Panizzon et al. found that low levels of free testosterone related to smaller hippocampal volumes and poorer episodic memory among APOE4 carriers but not non-carriers [39, 40]. Hogervorst et al. found that low testosterone levels were associated with greater likelihood of an AD diagnosis but only among APOE4 non-carriers [31]. The APOE4 by testosterone interaction has yet to be examined either in women or in relation to hallmark AD pathologies.

In the Alzheimer’s Disease Neuroimaging Initiative (ADNI), we aimed to replicate previous findings of greater pathological Tau biomarkers in women versus men at-risk for AD by way of the APOE4 allele, and to extend these findings by testing the hypothesis that testosterone may contribute to this sex difference. To this end, we examined the relationship between circulating total and free testosterone levels and their interaction with APOE4 and CSF levels of phosphorylated Tau (p-Tau) across and within sex. Furthermore, we determined whether lower testosterone levels in women partially account for their higher p-Tau levels. Extrapolating from animal studies, we hypothesized that lower testosterone levels would relate to higher p-Tau levels across sex and more so among APOE4 carriers versus non-carriers. Furthermore, we hypothesized that the higher p-Tau levels in female versus male APOE4 carriers will diminish upon adjustment for testosterone. Because of a previously-reported link between testosterone and Aβ pathology in a rodent model [14] and evidence of an effect of Aβ on Tau development [41], we also examined whether testosterone and Tau associations were independent of CSF Aβ levels.

Participants and Data Source

Data were extracted from ADNI, a publically-accessible dataset available at adni.loni.usc.edu. ADNI is a longitudinal, multi-site, cohort study that began in 2003 as a public-private partnership. Information about ADNI can be found at www.adni-info.org. The primary goal of ADNI is to test whether neuroimaging measures and other biological and clinical markers can be combined to measure the progression of MCI and early AD. ADNI study visits involve neuroimaging, neuropsychological, clinical and biomarker assessments. The general enrollment inclusion/exclusion criteria for ADNI have been described elsewhere [42]. This specific study was limited to ADNI1 participants with CSF p-Tau levels, as determined by the Roche Elecsys assay, and plasma testosterone levels from their baseline visit. The current sample consisted of 172 participants (113 men and 59 women) aged 55–90 years including 25 (15%) cognitively normal, 97 (56%) MCI and 50 (29%) AD dementia individuals.

Fluid Biomarkers

Plasma levels of total testosterone and sex hormone binding globulin (SHBG) were measured on the Luminex xMAP platform by Biomarkers Consortium Plasma Proteomics Project Rules-Based Medicine multiplex (http://www.rulesbasedmedicine.com) as part of a panel of 190 analytes related to a diverse array of human disease. A Box-Cox transformation was applied to raw assay values to normalize the distribution. Detail of assay methods and normalization procedures are described in “Biomarkers Consortium Plasma Proteomics Data Primer 02Aug2013 Final.pdf” and available for download at http://adni.loni.usc.edu/data-samples/access-data/. We utilized CSF concentrations of p-Tau (pg/mL), phosphorylated at threonine 181, and Aβ as determined by the Roche Elecsys assay (Roche, Basel, Switzerland). Detailed methods and quality control procedures for p-Tau measures can be found at http://adni.loni.ucla.edu. Increased CSF p-tau₁₈₁ levels occur in AD but not in other neurodegenerative disorders. SHBG is a protein that binds testosterone rendering it biologically unavailable. Thus, SHBG levels were used to measure levels of bound versus unbound or free testosterone using the following formula: total testosterone/SHBG × 100. All analyses were repeated substituting free for total testosterone levels to determine whether results were driven by bioavailable testosterone.

Statistical Analyses

Continuous variables that were not normally distributed were transformed via log- or Box-Cox transformations to improve normality. Sample characteristics by sex and APOE4 status were assessed using independent t-tests for continuous variables and chi-square tests for categorical variables. First, we used linear regression to examine the separate and interactive effects of sex and APOE4 status on p-Tau levels while adjusting for age, education and cardiovascular risk factors available in ADNI (i.e., body mass index [BMI] and self-reported history of cardiovascular events). Men were compared to women (reference group) and APOE4 carriers to APOE4 non-carriers (reference group). Next, we used linear regression to examine the effect of testosterone and its interaction with APOE4 status on p-Tau levels in the overall sample and within sex. In addition to the previously-mentioned covariates, we adjusted for sex in analyses in the overall sample. Significant interactions were probed via analyses stratified by APOE4 status. Next, stepwise linear regressions were conducted in the overall sample to examine sex differences in p-Tau levels after adding testosterone (step 2) to the initial model that adjusted for age, education and cardiovascular risk factors (step 1). Analyses were compared before and after covarying for Aβ₁₋₄₂ levels in order to determine the specificity of findings to p-Tau.

Among 172 participants, there were 79 APOE4 non-carriers (25 women and 54 men) and 93 APOE4 carriers (34 women and 59 men). The sample was 97% White, with a mean age of 75, and mean years of education of 15. In the overall sample, APOE4 carriers were younger, showed poorer global cognition (lower mean MMSE score), had higher p-Tau levels, were less likely to be cognitively normal and more likely to be AD dementia patients compared to non-carriers (ps < .05; Table 1). Mean testosterone level was lower in APOE4 carriers versus non-carriers, although not significantly (p = .09). When comparing men and women by APOE4 status, female APOE4 carriers were significantly younger than male APOE4 carriers (p = .002). As expected, mean total and free testosterone levels were lower in women than in men regardless of APOE4 status (ps < .001). In replication of previous findings, p-Tau levels were higher in women versus men but only among APOE4 carriers (p = .001).

Table 1

Sample characteristics by APOE4 carrier status and sex.
	APOE4- (n = 79)	APOE4+ (n = 93)	p-value (effect size)^a	APOE4-			APOE4+
				Women n = 25	Men n = 54	p-value (effect size)^a	Women n = 34	Men n = 59	p-value (effect size)^a
Age, Mean (SD)	76.6 (7.2)	74.0 (6.7)	.02 (.37)	77.0 (6.3)	76.4 (7.7)	.74	71.3 (7.4)	75.6 (5.7)	.002 (.65)
Years of education, Mean (SD)	15.9 (3.0)	15.3 (3.2)	.20	15.7 (2.7)	16.0 (3.1)	.64	14.7 (2.9)	15.6 (3.4)	.17
White, n (%)	76 (96.2%)	91 (97.8%)	.54	25 (100%)	51 (94.4%)	.49	32 (94.1%)	59 (100%)	.06
Cognitive status			< .001 (.40)			.26			.65
Cognitively normal, n (%)	22 (27.8%)	3 (3.2%)		10 (40.0%)	12 (22.2%)		1 (2.9%)	2 (3.4%)
MCI, n (%)	45 (57.0%)	52 (55.9%)		12 (48.0%)	33 (61.1%)		17 (50.0%)	35 (59.3%)
AD dementia, n (%)	12 (15.2%)	38 (40.9%)		3 (12.0%)	9 (16.7%)		16 (47.1%)	22 (37.3%)
Global cognition (MMSE), Mean (SD)	27.1 (2.2)	25.8 (2.5)	< .001 (.55)	27.6 (2.2)	26.9 (2.2)	.15	25.6 (2.5)	25.9 (2.5)	.56
BMI, Mean (SD)	26.5 (4.0)	25.8 (3.7)	.28	25.7 (4.9)	26.8 (3.5)	.24	25.5 (4.0)	26.0 (3.6)	.55
Self-reported history of cardiovascular events, n (%)	61 (77.2%)	62 (66.7%)	.13	16 (64.0%)	45 (83.3%)	.06	23 (67.6%)	39 (66.1%)	.88
Pulse pressure^b, Mean (SD)	61.0 (18.1)	59.1 (14.7)	.41	61.9 (23.9)	60.8 (15.0)	.80	58.9 (15.8)	59.2 (14.1)	.93
Plasma total testosterone level^c (ng/mL), Mean (SD)	0.2 (0.4)	0.1 (0.5)	.09	-0.3 (0.4)	0.5 (0.1)	< .001 (2.74)	-0.4 (0.4)	0.4 (0.2)	< .001 (2.53)
Plasma free testosterone level^c (ng/mL), Mean (SD)	13.4 (24.8)	6.5 (27.7)	.09	-16.9 (19.5)	27.5 (9.8)	< .001 (2.9)	-22.0 (22.7)	23.0 (13.0)	< .001 (2.4)
CSF p-Tau₁₈₁ level (pg/mL), Mean (SD)	26.8 (13.1)	35.9 (17.2)	< .001 (.59)	23.5 (8.6)	28.3 (14.5)	.13	43.7 (22.6)	31.5 (11.1)	.001 (0.68)
CSF Aβ₁₋₄₂ level (pg/mL), Mean (SD)	1240.4 (702.9)	639.1 (292.2)	< .001 (1.12)	1286.7 (765.1)	1218.9 (678.7)	.69	658.7 (627.8)	627.8 (327.0)	.63
Note. ^aEffect sizes are provided for significant differences; Cohen’s d is provided for mean differences (0.2 = small, 0.5 = medium, 0.8 = large) and a phi coefficient is provided for differences in proportions (0.1 = small, 0.3 = medium, 0.5 = large). ^bPulse pressure = systolic – diastolic blood pressure. ^cTestosterone levels were normalized based on a Box-Cox transformation. MCI = mild cognitive impairment; AD = Alzheimer’s disease; APOE4 = apolipoprotein E ɛ4 allele; MMSE = Mini Mental Status Examination; BMI = body mass index. CSF = cerebrospinal fluid.

Sex differences in p-Tau by APOE4 status

In line with hypotheses and our unadjusted analyses (Table 1), a significant sex by APOE4 interaction on p-Tau levels (B=-5.76, β=-0.24, standard error [SD] = 2.96, p = .05) when adjusting for covariates (i.e., age, education and cardiovascular risk factors) indicated higher p-Tau levels in women versus men among APOE4 carriers only (B=-11.16, β=-0.31, SD = 3.85, p = .005). Analyses stratified by APOE4 status actually revealed an opposing sex difference among non-carriers, whereby p-Tau levels were higher in men versus women, although not significantly (B = 6.09, β = 0.22, SD = 3.22, p = .06; Fig. 1).

Relationship between Testosterone and p-Tau by APOE4 status

In the overall sample, there was a significant total testosterone X APOE4 interaction on p-Tau levels (B=-17.78, β=-0.40, SD = 4.9, p < .001). Analyses stratified by APOE4 status revealed that lower total testosterone levels were associated with higher p-Tau among APOE4 carriers (B=-17.36, β=-0.50, SE = 5.41, p = .002) but not non-carriers (B=-4.45, β=-0.15, SE = 6.4, p = .49; Fig. 2). Results in the overall and stratified analyses were unchanged when substituting free for total testosterone and when including Aβ levels as a covariate in the model.

In sex-stratified analyses, the range of total testosterone levels were lower in women (range=-1.2-0.2, median=-0.28) versus men (range:-0.6-0.7, median = 0.5) although overlapping. Within the distribution of lower testosterone levels in women (B=-13.83, β=-0.27, SE = 5.88, p = .02) and the distribution of higher levels in men (B=-15.85, β=-0.24, SE = 6.32, p = .01), there was a negative association between testosterone and p-Tau levels suggestive of a continuous, linear relationship (Fig. 3). These associations occurred regardless of APOE4 status as indicated by non-significant testosterone by APOE4 interactions in women (B=-12.55, β=-.23, SE = 13.13, p = .34) or men (B = 10.19, β = 0.20, SE = 13.66, p = .46). However, the testosterone by APOE4 interaction on p-Tau in the overall sample appeared to be mostly driven by women in that the testosterone and p-Tau relationship was marginally significant among female APOE4 carriers (B=-18.06, β=-0.34, SE = 8.89, p = .05) but not among female non-carriers (B=-0.27, β=-0.01, SE = 5.1, p = .96; Fig. 3). In contrast, the testosterone and p-Tau relationship was a trend in both male APOE4 carriers (B=-13.38, β=-0.26, SE = 6.75, p = .053) and non-carriers (B=-24.24, β=-0.26, SE = 13.78, p = .08), Despite the specificity of a testosterone and p-Tau link to female APOE4 carriers, we were likely underpowered to detect a APOE4 by testosterone interaction given the smaller sample size in female-specific analyses (n = 53). Results in both men and women were unchanged when substituting free for total testosterone and when adjusting for Aβ levels.

Explanatory role of testosterone in sex difference in p-Tau

In testing the mediating role of testosterone in the sex difference in p-Tau levels, we found that the significantly higher p-Tau levels in female APOE4 carriers versus male APOE4 carriers was eliminated after adjusting for testosterone levels (B = 3.21, β = 0.09, SE = 5.78, p = .58; Fig. 1). Conversely, the trend for higher p-Tau levels in men versus women among APOE4 non-carriers changed minimally after adjusting for testosterone (B = 9.47, β = 0.34, SE = 5.84, p = .10). Again, results were unchanged when substituting free for total testosterone and when adjusting for Aβ levels.

In replication of previous findings, we found higher CSF p-Tau levels in women versus men specifically among APOE4 carriers. Our novel finding was significant relationship between low testosterone levels and higher p-Tau among APOE4 carriers. Our hypothesis concerning a potential mechanistic role of testosterone in the sex difference in p-Tau was supported in that the significant sex difference in p-Tau levels among APOE4 carriers was eliminated when adjusting for testosterone levels. Findings suggest that the lower testosterone levels in women are a significant contributor to their higher levels of p-Tau compared to men. Previous animal and cell culture studies have described a protective role of testosterone against Tau pathology [15, 16, 43]; however, to the best of our knowledge, we are the first to report a testosterone and Tau link in a human sample.

Testosterone offers a number of neuroprotective effects including improvements in synaptic plasticity [44, 45] and synaptic density in hippocampal nerouns [46–49], heightened cerebral blood flow and glucose metabolism [50], reductions in inflammation and oxidative stress [51, 52], and prevention against Aβ plaque deposition and their neurotoxic effects [14, 53, 54]. Germane to Tau topography in AD, testosterone’s neuroprotective effects are concentrated in the hippocampus given this region’s high density of androgen receptors [55]. Although the biological basis underlying the testosterone and tau link is unclear, most relevant to Tau pathogenesis may be testosterone’s anti-inflammatory actions [56]. A role for gliosis and neuroinflammation in Tauopathy is evidenced by greater microglial activity and altered inflammatory pathway markers (e.g., interleukin-6, tumor necrosis factor-α) correlating with Tau [57–60] as well as inflammation-related AD risk factors that contribute to Tau pathogenesis such the genetic factors of TREM2 [61] and APOE4 [62] and the environmental factors of traumatic brain injury [63, 64] and viral infection [65, 66]. Evidence suggests bidirectional effects between neuroinflammation and Tau propagation whereby inflammation can initiate and propagate Tau pathology while Tau aggregates can directly activate microglia and secretion of pro-inflammatory cytokines [67–69]. In early AD, Aβ plaques stimulate microgliosis and release of inflammatory cytokines [70] suggesting that testosterone’s protection against Aβ plaque deposition may contribute to its anti-inflammatory properties and, in turn, decreased p-Tau. However, our results were unchanged after adjusting for Aβ suggesting that the mechanisms underlying the testosterone and p-Tau link are independent of Aβ. Research into the potential mediating role of neuroinflammation in the testosterone and Tau link is warranted.

Prior studies have also reported a testosterone by APOE4 interaction on cognitive function in animal models [37, 38] and on AD risk [31] and hippocampal volume [39] in humans. Similar to the majority of these studies, the pattern of interactive effects indicated an association between testosterone and Tau only among APOE4 carriers. There is biological plausibility for a testosterone by APOE interaction. In the brain, the APOE protein is secreted primarily by astrocytes and secondarily by microglia and neurons and serves as a key transporter of lipoproteins. Given testosterone’s role in triglyceride and high density lipoprotein cholesterol metabolism, as demonstrated in circulating testosterone [71, 72], the shared role of APOE and testosterone in this lipoprotein pathway offers interactive possibilities. The APOE4 allele is associated with an increased susceptibility to inflammation [62] and greater Aβ deposition [73]. Thus, it is possible that APOE4 carriers are the most likely to benefit from the testosterone’s protective actions against inflammation and Aβ and, ultimately, Tau, although our results were independent of CSF Aβ levels. In animal studies, APOE4 is associated with a reduction in cytosolic androgen receptor (AR) levels in the neocortex [37] leading to the possibility that the adverse effects of low testosterone levels are further amplified in APOE4 carriers that have fewer or less efficient AR to support testosterone signaling. We extend previous findings of APOE by testosterone interactive effects by demonstrating their application to Tau. We also demonstrated the potential specificity of the APOE by testosterone interaction to women. Among women, the significant relationship between lower testosterone and higher p-Tau levels was specific to APOE4 carriers, whereas this was a trend-level relationship in men regardless of APOE4 status.

Our results suggest that higher levels of p-Tau in women versus men is likely capturing an association between the low testosterone levels that are commonly seen in women and higher p-Tau. In fact, we found that the higher p-Tau levels in female APOE4 carriers versus male APOE4 carriers was eliminated when adjusting for testosterone suggesting that differences in testosterone between men and women is a central mechanism underlying this sex difference. These findings may have implications for the well-evidenced higher AD risk in women considering that Tau pathology is closely tied to neurodegeneration and clinical symptomology. Our findings also challenge the concept that testosterone is a ‘male hormone’ in which the implications of low levels on AD-related outcomes are mostly circumscribed to men. The effects of aging-related decreases in testosterone levels on AD-related outcomes in men had been repeatedly studied with mixed results, whereas these associations have been minimally examined in women despite women having lower testosterone levels than men overall as well as age-related declines.

Our results offer a potential mechanism for the strongly, yet not consistently (Neu et al., 2017) supported finding of a stronger effect of APOE4 in women versus men on AD risk [6–8, 74]. If APOE4 has a stronger effect on AD-related outcomes in the context of low testosterone levels, as suggested by our data, then this would lead to a greater susceptibility of women to these effects. Our findings may also help to explain inconsistencies in the literature regarding an effect of APOE4 on Tau. Other biomarker [75], neuroimaging [76] and autopsy [77] studies found a more robust association between APOE4 and Tau in women versus men, whereas studies that did not compare by sex have shown inconsistent findings in the APOE4 and Tau link. Specifically, some, but not all [78–80], studies found greater Tau burden among APOE4 carriers [75, 81, 82]. If the Tau and APOE4 relationship is dependent on testosterone, as our results suggest, the presence of this relationship may be related to the proportion of men versus women in a sample. In non-sex-stratified analyses, an association between APOE4 and Tau may be obscured in samples that are predominantly male and, thus, likely characterized by higher testosterone levels.

Our findings have clinical relevance in that low testosterone is a potentially modifiable risk factor. Although numerous studies have investigated the effects of testosterone supplementation on cognitive function and AD risk with mixed findings (Wolf et al., 1999), very few studies have examined the effects of testosterone supplementation in women and with regard to APOE4 status. Resistance exercise and diet have been shown to modulate testosterone levels [83–85] indicating other opportunities for intervention through lifestyle or behavioral means. Our results raise the possibility that pharmacological and behavioral interventions to elevate testosterone may be particularly beneficial in female APOE4 carriers and, upon replication, warrant consideration for intervention studies in women at-risk for AD.

This study has limitations. Our smaller sample size likely limited statistical power particularly when examining the testosterone and APOE4 interaction in sex-stratified analyses. Levels of circulating estradiol were not available in the ADNI, which precluded us from examining whether it is testosterone or the aromatization of testosterone to estradiol that is responsible for the observed association. However, previous animal work found testosterone’s neuroprotective effects against Aβ [86] and p-Tau [16] to be independent of estradiol levels suggesting that androgenic mechanisms are implicated in these effects [86]. CSF levels of testosterone may be more reflective of testosterone activity in the brain; however, only plasma-based levels were available to us. Because of our cross-sectional design, we were precluded from determining the temporal relationship between testosterone and Tau. Although previous findings suggest that testosterone’s effects predate AD outcomes, there is potential for bidirectional given evidence that AD pathology may negatively feedback on testosterone levels by hindering production of sex steroid hormones [87, 88]. Lastly, ADNI is a convenience sample of mostly white and well-educated volunteers compared with the general US population, which limits generalizability of results.

In conclusion, we found a relationship between lower testosterone levels and higher CSF p-Tau that was specific to APOE4 carriers. The specificity of this relationship to APOE4 carriers seemed to be driven by women. We replicated a consistent finding of higher p-Tau levels in women versus men at-risk for AD; however, this difference was eliminated after adjusting for testosterone. Results suggest that testosterone has a protective role against Tau particularly among APOE4 carriers, and that low testosterone levels that are more characteristic of women than men may predispose one to Tau.

Perspectives and Significance

Our findings inform a knowledge gap in our understanding of greater Tauopathy in women versus men on the AD trajectory and in the repeated demonstration of a stronger APOE4 effect in women. Our findings may also help to enlighten disparities in the literature regarding an APOE4 and Tau relationship. This study represents a call to researchers and clinicians that it is equally important to examine the effects of testosterone on AD-related outcomes in women as it is in men, if not more. Our findings stress the need to examine the effects of testosterone on AD-related outcomes in women in addition to men. Follow-up studies include should investigate (a) the association between testosterone levels and cortical Tau as measured by PET, (b) the effect of testosterone supplementation on Tau burden and (c) the mediating role of neuroinflammation in the testosterone and Tau link.

Ethics approval and consent to participate

This research was approved by the Institutional Review Boards of all participating ADNI sites, and written informed consent was obtained for all participants.

Consent for publication

Not applicable

Availability of Data and Materials

The dataset supporting the conclusions of this article is available in the ADNI repository [adni.loni.usc.edu].

Competing interests

E. Sundermann reports no disclosures relevant to the manuscript. M. Panizzon reports no disclosures relevant to the manuscript. M. Andrews reports no disclosures relevant to the manuscript. X Chan reports no disclosures relevant to the manuscript. D Galasko reports no disclosures relevant to the manuscript. S. Banks reports no disclosures relevant to the manuscript.

Funding

This work was supported by the NIH [grant numbers AG049810, AG05131, R01 AG056410]. Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research & Development, LLC.; Johnson & Johnson Pharmaceutical Research & Development LLC.; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. 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 Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California.

Authors’ contributions

Erin E. Sundermann: Conceptualization, Methodology, Data Curation, Formal Analyses, Writing – Original Draft, Project Administration. Matthew Panizzon: Conceptualization, Methodology, Writing – Review and Editing. Xu Chen: Conceptualization, Writing – Review and Editing. Murray Andrews: Conceptualization, Visualization, Writing – Review and Editing. Douglas Galasko: Methodology, Writing – Review and Editing. Sarah J. Banks: Conceptualization, Writing – Original Draft, Methodology, Writing – Review and Editing

Acknowledgements

The authors would like to thank the participants of the ADNI for without their participation, this work would not be possible.

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Sex differences in Alzheimer’s-related Tau biomarkers and a mediating effect of testosterone

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Abstract

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Background

Methods

Participants and Data Source

Fluid Biomarkers

Statistical Analyses

Results

Sex differences in p-Tau by APOE4 status

Relationship between Testosterone and p-Tau by APOE4 status

Explanatory role of testosterone in sex difference in p-Tau

Discussion

Perspectives and Significance

Declarations

References

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