Abstract
Background:
Major depressive disorder (MDD) is a risk factor for dementia including that caused by Alzheimer’s Disease (AD). Both MDD and AD have a higher prevalence in women than men, and estrogen-related processes have been implicated in this sex difference.
Objective:
To identify if enhanced oxidative stress and decreased expression of the memory enhancer insulin-like growth factor 2 (IGF2), each implicated separately in MDD and AD, are exaggerated in individuals with both AD and MDD compared to those with AD.
Methods:
Expression of target genes are determined by qPCR in postmortem hippocampus (Hip) and anterior cingulate cortex (ACC) of individuals with dementia and autopsy confirmed AD and those of AD+MDD.
Results:
Transcript levels of the antioxidant enzymes catalase (CAT) and superoxide dismutase 1 (SOD1), as well as IGF2 and its receptor (IGF2R) were significantly lower in the Hip and ACC of individuals with both AD and MDD compared to those with AD and no MDD. Expressions of Progestin and AdipoQ Receptor Family Member 7 (PAQR7, alias progesterone receptor alpha, mPRα) and PAQR8 (mPRβ), receptors that bind neurosteroids, were also lower in the Hip and ACC of AD+MDD samples compared to those of AD without MDD. Correlations among these transcripts revealed that estrogen receptor 2 (ESR2) and mPRβ are direct or indirect regulators of the expression of the antioxidant enzymes and IGF2R.
Conclusion:
Reduced levels of antioxidant enzymes, decreased IGF2 expression, and diminished estrogen or membrane progesterone receptor-dependent processes might be more pronounced in the subpopulation of individuals with AD and MDD than without MDD.
Keywords: depression, molecular vulnerability, antioxidant enzymes, insulin like growth factor 2, membrane progesterone receptor, sex/gender differences
INTRODUCTION
Millions of people live with dementia, and 50–70% of all late-onset dementia cases are caused by Alzheimer’s Disease (AD) neuropathology [1] in isolation, or accompanied by additional pathologies [2]. The number of AD cases is increasing, predicted to reach 12.7 million by 2050 in the US, and 152 million worldwide. The disease process related to AD starts long before symptom onset and lasts approximately 15–20 years. It is widely believed that early detection of possible precursors and treatment of modifiable risk factors of AD is very important. Emotional, physical, or cellular stressors are known risk factors for cognitive decline and have been implicated in earlier onset and more marked progression of AD [3]. Stress-related disorders like depression have been linked to a state of accelerated biological or cellular aging [4], affecting the hippocampus and subsequently leading to pathological cognitive aging [5–14]. Major depressive disorder (MDD) is a risk factor for the development of AD [3, 15] and the MDD prevalence rate is 37% in those with dementia [16]. Even moderate depression increases risk of progression from cognitively healthy to dementia [17]. Additionally, there may be a limited overlap in the etiology of these illnesses, as a moderate level of polygenic overlap has also been found between MDD and AD [18].
In a recent study, we found that increased stress-reactivity and predisposition to depression-like behavior exaggerated cognitive aging in female rats [19]. Hippocampus-dependent contextual fear memory in the inbred Wistar Kyoto More Immobile (WMI) females declined by middle age, compared to same age controls, the Wistar Kyoto Less Immobile (WLI) females, which do not exhibit enhanced stress responses or depressive behaviors. At a young age, there is no difference in memory between these nearly isogenic strains. Hippocampal transcript levels of the antioxidant enzymes, catalase (Cat) and superoxide dismutase1 (Sod1) and the learning and memory-stimulant insulin-like growth factor 2 (Igf2), and its receptor Igf2r were lower in the middle-aged WMI hippocampus compared to the young of both strains [19]. These findings in the animal model promise to be relevant to human illnesses, as enhanced oxidative stress has been implicated in both MDD [21–23] and AD [20, 21]. Furthermore, attenuated levels of hippocampal IGF2 have also been proposed to contribute to AD pathology [22]. IGF2 binds with high affinity to the IGF2 receptor (IGF2R), which reduces the bioavailability of IGF2 by targeting it to lysosomes. Thus, it is demonstrated that the effects of IGF2 in memory enhancement and recovery of function in disease models are dependent on its binding to IGF2R [23–25].
Prevalence of both MDD [10, 26] and dementia [27, 28] are higher in women than in age-matched men. Both the progression of cognitive decline and its association with MDD shows that females are particularly vulnerable [29, 30]. Women also show faster cognitive decline after a clinical diagnosis of mild cognitive impairment (MCI) or AD dementia [31]. Higher risks of cognitive decline and dementia and higher levels of AD neuropathology have been associated with early, surgically induced menopause, indicating that menopause before the age of 40–45 represents a female-specific risk factor for AD dementia [32, 33].
Reduced peripheral levels of 17β-estradiol and testosterone are observed in female and male patients with AD, respectively, compared to appropriate matched controls [34]. Sex hormones have been proven to improve cognitive functions and alleviation of depression upon treatment with estrogens in both females and males, mainly in rodent models, but also in humans [see recent reviews: 35, 36]. Recently, expression of membrane progesterone receptors, Progestin and AdipoQ Receptor 7 and 8, respectively (PAQR7; mPRα and PAQR8; mPRβ), have been assessed in the blood of pregnant and postpartum women with varying degree of depressive symptoms [37]. It was found that blood transcript levels of both ESR2 and mPRβ correlated significantly, but inversely, with depression scores. Thus, lower levels of these receptor transcripts were associated with higher depression scores.
The hippocampus is particularly vulnerable in AD [38–40]. Studies have shown volume loss in the hippocampus during the progression of AD has a direct relationship with cognitive decline. Functional connectivity between the hippocampus and other brain regions, including the ventral anterior cingulate cortex, is disrupted in AD patients [41]. Furthermore, the anterior cingulate cortex (ACC) is a brain region with metabolic decline in aging [42]. ACC is a fundamental hub of the memory network and plays a major role in cognitive control during complex tasks [43]. Hypoactivity in the ACC is associated with depression in AD [44], making it a brain region of importance in this study.
Here, we aimed to determine if the hippocampal molecular deficits found in the animal model can be replicated in human postmortem brain samples from individuals with AD with, and without, a history of MDD. We hypothesized that the increased prevalence of AD in older women could be associated with substantially reduced estrogen and progesterone-dependent processes, and MDD may directly affect these pathways. To answer this, we also examined the expression of estrogen receptors and membrane progesterone receptors in these brain regions.
METHODS
Samples
Postmortem tissue samples (male and female, aged 41–96 years old) were acquired from the Brain Bank of the Mesulam Center for Cognitive Neurology and Alzheimer Disease. Two populations were studied: individuals with AD dementia and neuropathologic changes of AD, with prior depression (n = 19) and individuals with AD dementia and neuropathologic changes of AD, without prior depression (n = 19). Neuropathological diagnosis of AD was as described using the NIA-AA guidelines [45]. Prior depression was assessed from health records. The hippocampus and anterior cingulate cortex (ACC) were studied given their association with AD dementia. Tissues for both brain regions were not available in some cases, making the final sample sizes for hippocampus: AD male, N=9; female, N=10; AD+MDD male, N=8; female, N=7, and for ACC: AD male, N=9; female, N=10; AD+MDD male, N=10; female, N=9. Tissues were received frozen and maintained at −80 °C until RNA isolation.
All participants in the Clinical Core of the Northwestern Alzheimer’s Disease Research Center, the source of brain donations, had provided informed consent to be evaluated annually during life and donated their brains at death. The parent study was approved by the institutional review boards of Northwestern University. Informed consent had included agreement to share data and tissue resources with collaborating investigators.
Expression analyses
Total RNA was isolated using the Direct-zol™ RNA MiniPrep kit (Zymo Research, Orange, CA, USA) and was reverse transcribed with SuperScript VILO™ Master Mix (Invitrogen, Carlsbad, CA, USA). Quantitative PCR (qPCR) was carried out as described previously [19]. Briefly, 5 ng of cDNA was amplified with SYBR Green Master Mix (Applied Biosystems, Foster City, CA, USA) and primer sequences specific to various genes of interest. The primer sequences are shown in Supplemental Table 1. Target transcript levels were normalized relative to GAPDH, a housekeeping gene previously demonstrated to show similar expression across various conditions. Relative quantification (RQ) was determined using transcript levels from one human female (75-year-old) hippocampal and ACC sample with no AD and no MDD diagnosis as the calibrator, using the 2−(ΔΔCT) method. Please note that using the ΔCT method, the same results were obtained, of course inversely to RQ. Data are presented in RQ to provide an easier interpretation of the results.
Technical outliers were defined as samples where either the target or the housekeeping gene showed abnormal amplification or melting curve characteristics. Therefore, these outliers (n=1–3 in the different qPCR runs) were removed.
Statistical analysis
All statistical analyses were performed using GraphPad Prism v9.3.1 (GraphPad Software, La Jolla, CA). Statistical significance for gene expression differences was determined by two-way ANOVA (sex and comorbidity), followed by False Discovery Rate (FDR) corrected post-hoc analyses. Post hoc significances are marked in the figures as q<0.05 or <0.01, when controlled for multiple comparisons, or p < 0.05 as individual p values. When there were no significant main effects for sex or comorbidity in the two-way ANOVA, we combined male and female expression data to test the hypothesis that the presence of MDD diagnosis altered the gene expression. This analysis was conducted by Student’s t-test. Data are presented as mean ± standard error of mean. Pearson correlations across transcript levels were carried out using the GraphPad Prism v9.3.1. software and significance values were corrected for multiple comparisons. The modified Kolmogorov-Smirnov “goodness to fit” test was used to verify normal distribution with the GraphPad software.
RESULTS
Table 1 shows descriptive data of the participants. There were no significant differences between the female or male groups of AD and no MDD vs. AD + MDD in age or postmortem interval (PMI). Females AD vs. AD + MDD, age: 81.7 +/− 1.7 vs. 71.7 +/− 6.3; PMI: 12.4 +/− 2.8 vs. 16.1 +/ 2.7 Males AD vs. AD + MDD, age: 76.2 +/− 3.3 vs. 74.2 +/− 4.2; PMI: 14.6 +/− 2.7 vs. 14.0 +/ 2.4. Although AD+MDD females were slightly younger, including two individuals under 50 years of age, the age distribution was still normal in all groups confirmed by the Kolmogorov-Smirnov test.
Table 1.
Description of postmortem samples
| Group | Age | Gender | PMIa | Raceb | Pathologic Diagnosisc |
|---|---|---|---|---|---|
| AD+MDD | 56 | M | 8 | C | AD (ADNC high - A3, B3, C3) |
| AD+MDD | 60 | M | 30 | H | AD (ADNC high - A3, B3, C3) |
| AD+MDD | 63 | M | 16 | C | AD (ADNC high - A3, B3, C3) |
| AD+MDD | 69 | M | 8 | C | AD (ADNC high - A3, B3, C3) |
| AD+MDD acc | 70 | M | 11 | C | AD (ADNC high - A3, B3, C3) |
| AD+MDD | 75 | M | 14 | C | AD (ADNC high - A3, B3, C3) |
| AD+MDD acc | 77 | M | 20 | C | AD (ADNC high - A3, B3, C3) |
| AD+MDD | 86 | M | 9 | C | AD (ADNC high - A3, B3, C3) |
| AD+MDD | 90 | M | 19 | C | AD (C, V, high) |
| AD+MDD | 96 | M | 5 | C | AD (ADNC intermed .- A3, B2, C3) |
| AD+MDD | 41 | F | 12 | H | AD (ADNC high - A3, B3, C3) |
| AD+MDD | 48 | F | 8 | H | AD (ADNC high - A3, B3, C3) |
| AD+MDD | 56 | F | 6 | C | AD (C, VI, high) |
| AD+MDD | 74 | F | 23 | C | AD (ADNC high - A3, B3, C3) |
| AD+MDD | 74 | F | 16 | C | AD (ADNC high - A3, B3, C3) |
| AD+MDD acc | 85 | F | 27 | AA | AD (ADNC high - A3, B3, C3) |
| AD+MDD | 87 | F | 16 | AA | AD (ADNC high - A3, B3, C3) |
| AD+MDD acc | 89 | F | 10 | C | AD (ADNC high - A3, B3, C3) |
| AD, MDD | 91 | F | 27 | C | AD (ADNC high - A3, B3, C3) |
| AD | 61 | M | 24 | H | AD (C, VI, high) |
| AD | 68 | M | -- | C | AD (C, VI, high) |
| AD | 71 | M | 12 | C | AD (C, VI, high) |
| AD | 73 | M | 4 | C | AD (C, V, high) |
| AD | 74 | M | 21 | C | AD (ADNC high - A3, B3, C3) |
| AD | 75 | M | 16 | C | AD (ADNC high - A3, B3, C3) |
| AD | 84 | M | 23 | C | AD (ADNC high - A3, B3, C3) |
| AD | 87 | M | 7 | C | AD (C, VI, high) |
| AD | 93 | M | 10 | C | AD (C, V, high) |
| AD | 67 | F | 11 | C | AD (C, VI, high) |
| AD | 77 | F | 21 | C | AD (C, VI, high) |
| AD hip | 80 | F | 4 | C | AD (C, V, high) |
| AD | 82 | F | 7 | C | AD (C, V, high) |
| AD | 83 | F | 26 | C | AD (C, VI, high) |
| AD acc | 84 | F | 13 | C | AD (C, VI, high) |
| AD | 84 | F | 6 | C | AD (C, VI, high) |
| AD | 85 | F | 26 | C | AD (C, VI, high) |
| AD | 85 | F | 5 | C | AD (C, VI, high) |
| AD | 86 | F | 5 | C | AD (C, V, high) |
| AD | 86 | F | -- | C | AD (C, V, high) |
Only ACC sample
Only hippocampal sample
Postmortem Interval
Race C: Caucasian; H: Hispanic; AA: African American
Pathologic Diagnosis: A, B and C severity scores as described in Montine et al., 2016, ADNC: Alzheimer’s Disease Neuropathologic Change
Expression of Superoxide Dismutase 1 and Catalase in the Hippocampus and the Anterior Cingulate Cortex
Compared to individuals with AD and no prior depression, individuals with AD and prior depression show reduced hippocampal expression of antioxidants as indicated by two-way ANOVA (comorbidity: SOD1, F[1,29]=6.3, p=0.018; CAT, F[1,27]=5.8, p=0.023). No significant main effects of sex, or sex by comorbidity interactions were found for the expression of either gene (sex, SOD1, F[1,29]=0.49, NS; CAT, F[1,27]=0.44, NS). However, post-hoc analyses indicated that hippocampal SOD1 expression was significantly (q<0.05) lower in females with AD + MDD compared to AD (Figure 1A). Similarly, post-hoc comparison showed that hippocampal CAT expression was also lower in females of the AD + MDD group compared to those of AD at the individual p value (<0.05) level.
Figure 1. Decreased transcript levels of SOD1 and CAT in the hippocampus (A) and anterior cingulate cortex (B) of individuals with AD+MDD (blue), compared to AD without MDD (red).

RNA was isolated from postmortem brain regions and reverse transcribed prior to qPCR analysis for each brain region of study subject. Expressed as mean relative quantification (RQ), as described in the Methods section. The numbers included in the analyses: AD w/o MDD: male N=9 hippocampus, N=8 ACC; female N=10 hippocampus, N=7 ACC; AD+MDD: male N=8 hippocampus, N=8 ACC; female N=6 hippocampus, N=7 ACC. Data were analyzed by two-way ANOVA followed by two-stage linear step-up procedure of Benjamini, Krieger and Yekutieli. Statistically significant differences between the groups are indicated, where ∗q < 0.05 is post-hoc significance corrected for multiple comparisons, while #p < 0.05 refers to individual p value significance between the different comorbidity groups.
Similarly, SOD1 levels were significantly lower in AD + MDD in the ACC brain region, but that of CAT expression did not reach significance by two-way ANOVA (comorbidity, SOD1, F[1,32]=7.33, p=0.011; CAT, F[1,32]=1.63, NS; Figure 1B). While there were no significant main effects for sex (SOD1, F[1,32]=1.77, NS; CAT, F[1,32]=1.63, NS), there was a sex by comorbidity interaction for SOD1 (F[1,32]=4.8, p=0.036). Post-hoc analysis indicated that SOD1 expression is significantly (q <0.05) lower in the female AD + MDD ACC, compared to that of AD and no depression (Figure 1B). For hypothesis testing, and because there were no sex differences in CAT expression in the ACC, we combined the sexes and carried out a Student’s t- test. This sex-combined expression of CAT was significantly lower in the ACC of the AD + MDD group compared to those of AD alone (t=2.27, df=32, p=0.030).
Furthermore, the cumulative reduction in SOD1 and CAT in individuals with AD and MDD compared with individuals with AD and no MDD was 57.1% in male hippocampi, while it was 85.7% in female hippocampi. The reduction was 18.5% in males and 65.4% in females in the ACC.
Expression of Insulin-like Growth Factor and its Receptor in the Hippocampus and the Anterior Cingulate Cortex
Individuals with AD and no MDD did not show significantly different hippocampal IGF2 transcript levels from those with AD + MDD analyzed by two-way ANOVA (comorbidity, F[1,22]=3.63, p=0.07; Figure 2A). There was also no significant main sex effect (F[1,22]=1.47, NS), or a sex by comorbidity interaction. Therefore, we combined the male and female data and compared it between the AD and the AD+MDD groups using Student’s t-test. This comparison showed a significantly lower IGF2 expression in the hippocampus in the AD + MDD group compared to those of AD (t=2.53, df=24, p=0.018).
Figure 2. A trend toward decreased transcript levels of IGF2 and IGF2R in the hippocampus (A) and anterior cingulate cortex (B) of individuals with AD+MDD (blue), compared to AD without MDD (red).

Transcript levels were measured as described in Figure 1 and Methods. The numbers included in the analyses: AD w/o MDD: male N=6 hippocampus, N=8 ACC; female N=10 hippocampus, N=7 ACC; AD+MDD: male N=6 hippocampus, N=8 ACC; female N=6 hippocampus, N=7 ACC. ∗q< 0.05; #p< 0.05 between the different comorbidity groups, and ^p < 0.05 indicate sex difference.
In contrast to hippocampal IGF2 expression, both a significant sex difference and an effect of MDD comorbidity was observed in the ACC (sex, F[1,26]=4.29, p=0.048; comorbidity, F[1,26]=4.44, p=0.045) without any significant interaction effect. Specifically, IGF2 expression in the AD no MDD female ACC was higher at the individual p level (p<0.05) in comparison to IGF2 expression in the ACC of females in the AD + MDD group (Figure 2B).
No significant main effects of comorbidity or sex were found for the hippocampal IGF2R expression between the groups. IGF2R transcript levels did not differ between the sexes in the ACC (sex, F[1,30]=0.93, NS), but were significantly lower in the AD + MDD ACC compared to AD in both males and females using two-way ANOVA (comorbidity, F[1,30]=9.03, p=0.005). These differences were significant at the level of q=0.05 for both males and females at the post-hoc comparisons (Figure 2B).
Expression of estrogen receptors and membrane progesterone receptors in the hippocampus and the anterior cingulate cortex
Hippocampal expression of estrogen receptor 1 and 2 (ESR1 and ESR2) showed significantly higher expression in females compared to males in the two-way ANOVA (sex, ESR1, F[1,20]=11.45, p=0.003; ESR2, F[1,20]=11.94, p=0.003; Supplemental Figure 1A). No main effect of comorbidity was found for the expression of either estrogen receptors (comorbidity, ESR1, F[1,20]=0.07, NS; ESR2, F[1,20]=0.05, NS). Sex differences reached significance (q=0.004) in ESR1 expression between males and females in the AD no MDD group, but not in the AD + MDD group (Supplemental Figure 1A). However, sex differences reached significance in both groups for ESR2 expression (q<0.01 for AD no MDD and q<0.05 for AD + MDD).
Estrogen receptor levels were significantly different in the ACC by sex and comorbidity. Specifically, ESR1 transcript levels were significantly higher in female AD samples compared to those of males, and the presence of MDD symptoms in female AD subjects reduced this expression significantly (sex, F[1,20]=29.59, p<0.001; comorbidity, F[1,20]=23.45, p<0.001; sex x comorbidity, F[1,20]=28.76, p<0.00; Supplemental Figure 1B). The comorbidity difference in ESR1 expression was clearly significant in females (q<0.0001), as shown by the post-hoc comparison. Interestingly, ESR2 expression showed a very similar profile (sex, F[1,20]=28.36, p<0.001; comorbidity, F[1,20]=15.60, p<0.001; sex x comorbidity, F[1,20]=28.78, p<0.001). ESR2 expression in the ACC was significantly different (q<0.0001) between females in the AD and AD + MDD groups also (Supplemental Figure 1B).
Hippocampal expression of the Progestin and AdipoQ Receptor Family Member 7 (PAQR7), also named as membrane progesterone receptor alpha (mPRa), did not differ between males and females, but was significantly lower in the AD + MDD hippocampus compared to those of AD without MDD (sex, F[1,24]=0.04, NS; comorbidity, F[1,24]=8.11, p=0.009). Specifically, mPRa expression in the AD + MDD male hippocampus was significantly lower (q<0.05) in comparison to mPRa expression in the AD no MDD males (Figure 3A). Hippocampal PAQR8 (mPRb) expression did not differ significantly between male and female individuals, but showed a significant main effect of comorbidity (sex, F[1,24]=3.14, NS; comorbidity, F[1,24]=4.56, p=0.043). mPRb expression in the hippocampus was also significantly lower (q<0.01) in the AD + MDD males compared to AD no MDD males (Figure 3A).
Figure 3. Decreased transcript levels of PRα and PRβ the hippocampus (A) and anterior cingulate cortex (B) of individuals with AD+MDD (blue), compared to AD without MDD (red).

Transcript levels were measured as described in Figure 1 and Methods. The numbers included in the analyses: AD w/o MDD: male N=7 hippocampus, N=8 ACC; female N=7 hippocampus, N=8 ACC; AD+MDD: male N=7 hippocampus, N=8 ACC; female N=7 hippocampus, N=6 ACC. ∗q < 0.05; **q <0.01; #p < 0.05 between the different comorbidity groups.
In contrast to the hippocampal expression, mPRa expression in the ACC was higher in males than females in general, but lower in individuals with AD + MDD compared to AD no MDD (sex, F[1,26]=13.14, p=0.001; comorbidity, F[1,26]=5.07, p=0.033). Post-hoc comparison identified that mPRa transcript levels were lower in the AD+MDD males at the individual p value level (p<0.05) compared to AD no MDD males (Figure 3B). There were no main sex effects in mPRb expression in the ACC, but the main effect of comorbidity was highly significant (sex, F[1,26]=0.58, NS; comorbidity, F[1,26]=9.96, p=0.004). The expression of mPRb was significantly lower in female individuals with AD + MDD compared to those with AD no MDD (q<0.01; Figure 3B).
Correlations
Correlations between the variables revealed that all measured hippocampal transcript levels correlated significantly with ESR2 expression, except mPRα (Table 2). Similarly, mPRβ significantly correlated with all measures except that of IGF2 in the hippocampus. In contrast, ESR2 only correlated with IGF2 and ESR1 expression in the ACC, and mPRβ did not show a significant correlation with ESR1 and ESR2 in the ACC (Table 3).
Table 2.
Pearson correlation coefficients for hippocampal gene expression.
| CAT | IGF2 | IGF2R | SOD1 | ESR1 | ESR2 | PRalpha | PRbeta | |
|---|---|---|---|---|---|---|---|---|
| CAT | 0.56 | 0.79 | 0.81 | 0.66 | 0.68 | 0.37 | 0.73 | |
| IGF2 | 0.56 * | 0.36 | 0.51 | 0.77 | 0.76 | 0.28 | 0.44 | |
| IGF2R | 0.79 ** | 0.36 | 0.59 | 0.40 | 0.47 | 0.45 | 0.67 | |
| SOD1 | 0.81 ** | 0.51 * | 0.59 ** | 0.63 | 0.61 | 0.21 | 0.47 | |
| ESR1 | 0.66 ** | 0.77 ** | 0.40 | 0.63 ** | 0.98 | 0.25 | 0.47 | |
| ESR2 | 0.68 ** | 0.76 ** | 0.47 * | 0.61 ** | 0.98 ** | 0.24 | 0.48 | |
| PRalpha | 0.37 | 0.28 | 0.45 | 0.21 | 0.25 | 0.24 | 0.82 | |
| PRbeta | 0.73 ** | 0.44 | 0.67 ** | 0.47 * | 0.47 * | 0.48 * | 0.82 ** |
p<0.05
p<0.01 after correction for multiple comparison
Table 3.
Pearson correlation coefficients for gene expression in the anterior cingulate
| CAT | IGF2 | IGF2R | SOD1 | ESR1 | ESR2 | PRalpha | PRbeta | |
|---|---|---|---|---|---|---|---|---|
| CAT | 0.53 | 0.71 | 0.64 | 0.35 | 0.29 | 0.55 | 0.72 | |
| IGF2 | 0.53 ** | 0.18 | 0.09 | 0.84 | 0.83 | 0.13 | 0.21 | |
| IGF2R | 0.71 ** | 0.18 | 0.87 | 0.01 | −0.02 | 0.64 | 0.90 | |
| SOD1 | 0.64 ** | 0.09 | 0.87 ** | −0.02 | −0.06 | 0.43 | 0.89 | |
| ESR1 | 0.35 | 0.84 ** | 0.01 | −0.02 | 0.97 | 0.08 | 0.08 | |
| ESR2 | 0.29 | 0.83 ** | −0.02 | −0.06 | 0.97 * | 0.04 | 0.08 | |
| PRalpha | 0.55 * | 0.13 | 0.64 ** | 0.43 | 0.08 | 0.04 | 0.47 | |
| PRbeta | 0.72 ** | 0.21 | 0.90 ** | 0.89 ** | 0.08 | 0.08 | 0.47 * |
p<0.05
p<0.01 after correction for multiple comparisons
DISCUSSION
The novel findings of this study are the biochemical worsening of many molecular processes in the brain in participants with autopsy-confirmed AD and depressive symptoms. These include the decreased expression of antioxidant enzymes in the hippocampus and ACC of individuals with AD + MDD compared to those with AD. The other major result is the sex specificity of decreased antioxidant enzyme expression, where expression was significantly decreased in female AD + MDD samples. Furthermore, the brain region- and sex differences observed for mPRβ transcript levels between subjects with AD no depression compared to those with AD + MDD suggest that neurosteroids and their receptors may play a significant role in MDD being a risk factor for AD.
The observed decrease in SOD1 expression in both the hippocampus and the ACC of female subjects with AD + MDD is novel. The significance of this finding is strengthened by the decreased expression of CAT enzyme in the same group. There is a substantial body of literature suggesting vulnerability to oxidative damage particularly at an early stage of AD pathology [46, 47]. Blood-based redox alterations have also been found in AD, including decreased levels of SOD [48]. In contrast, a metanalysis found no changes in the expression of SOD1 or CAT in AD brain regions [49].
There are also conflicting results for SOD1 and CAT in the literature of MDD [50–53], although malfunctioning antioxidant defense has been repeatedly implicated in depressive disorders [54–56]. In animal studies, reduced hippocampal Cat and Sod activity has been reported in parallel with stress-induced depression-like behavior [54, 57], similar to our findings in the genetically stress-reactive middle-aged WMI animals [19].
The overall trend of IGF2 and IGF2R expression showed a decrease in the brain regions of individuals with AD + MDD compared to those with AD and no MDD. Decreased IGF2 expression has been shown previously in some brain regions of individuals with AD [58, 59]. Whether the decreased IGF2 expression in AD + MDD is the result of MDD exaggerating the decrease of IGF2 expression in AD brains cannot be determined in the present study. However, exogenous Igf2 administration can enhance cognitive function [60, 61], and fluoxetine and metformin treatment can enhance Igf2 expression and decrease depression-like behavior at the same time in animal studies [62]. Thus, increasing Igf2 levels could be a potential mechanism to ameliorate both cognitive dysfunction and depression, and interestingly it has been suggested that increasing Igf2 levels would attenuate oxidative damage in the brain [63].
Aging and female gender are the most common risk factors of AD, leading to increased prevalence in women compared to men [64]. Estrogen and progesterone show protective activity on brain functions, and thus loss of these steroid hormones at menopause is an important risk factor for AD progression in females [65]. Furthermore, women with AD have reduced levels of brain estrogen [66]. As estradiol can increase choline acetyltransferase activity [67], and major depletion of this enzyme is a hallmark of AD [68], this potential mechanism adds to the list of sex difference etiologies in AD. Sex steroids, via androgen and estrogen receptors, have been identified as drivers of disrupted homeostatic processes in AD neurons [69, 70]. The present findings of reduced transcript levels of ESRs in the ACC of AD + MDD cases compared to those with AD and no MDD suggest that MDD affects the abundance of ESRs. Since selective ESR2 agonists can reduce depression-like behaviors [71], ESR2 may participate in the molecular processes of MDD becoming a risk factor for AD.
Hippocampal ESR2 expression was positively correlated with transcript levels of antioxidant enzymes, and those of mPRβ. Estrogen receptor beta (ESR2) and mitochondria are co-localized in the female brain, but in AD, both the expression of ERβ and its association with the mitochondria are reduced [72]. The reduction of ERβ expression in mitochondria is accompanied by decreases in mitochondrial function, which could have resulted from oxidative damage to mitochondrial DNA. The authors suggest that females with AD could have exaggerated accumulation of oxidative stress because of the mitochondrial defect, compared to controls. Thus, it is feasible that estrogen-regulated processes contribute to the female vulnerability to AD.
Progesterone is known to have neuroprotective effects via different receptors including those of mPRs [73, 74]. mPRβ is expressed in higher levels in the rat brain than mPRα, similarly to the higher prevalence of mPRβ in the human brain [75, 76]. The neurosteroid allopregnanolone, metabolized from progesterone, binds to mPRs and affects anti-apoptotic actions [77]. Thus, decreased transcript levels of mPRβ in the hippocampus of male, and in the ACC of female AD + MDD cases, could suggest increased apoptotic processes. In addition, allopregnanolone concentration is reduced in the AD brain [78, 79] and in depression [80], suggesting a potential double hit of reduced levels and reduced receptors for this neurosteroid in AD that is further exaggerated in AD + MDD.
A limitation of this study includes the lack of age-matched postmortem samples from control subjects and those with MDD only. Future studies would need to increase the number of postmortem samples and include age matched MDD, and no AD no MDD samples as well. Nevertheless, the current data suggest that MDD presents the background for a biochemical risk factor for AD, via exaggerating processes known to occur in the brains of individuals with AD. Given the lack of effective disease-modifying treatments for AD, this study highlights the need to place increased efforts on early identification and intervention in MDD. Effective treatment for MDD may therefore not only improve wellbeing in the context of depression but could attenuate the risk for Alzheimer’s Disease as well.
Supplementary Material
Response to reviewers:
Reviewer 1.
ACKNOWLEDGEMENT
This work was supported by NIH 1P30AG072977-01 (Northwestern Alzheimer’s Disease Research Center, Vassar, PI), and the Davee Foundation (Redei, PI) and by a grant from the Office of Undergraduate Research, Weinberg College of Arts and Sciences to KJP.
Footnotes
CONFLICT OF INTEREST
The authors have no conflict of interest to report.
REFERENCES
- [1].Winblad B, Amouyel P, Andrieu S, Ballard C, Brayne C, Brodaty H, Cedazo-Minguez A, Dubois B, Edvardsson D, Feldman H, Fratiglioni L, Frisoni GB, Gauthier S, Georges J, Graff C, Iqbal K, Jessen F, Johansson G, Jonsson L, Kivipelto M, Knapp M, Mangialasche F, Melis R, Nordberg A, Rikkert MO, Qiu C, Sakmar TP, Scheltens P, Schneider LS, Sperling R, Tjernberg LO, Waldemar G, Wimo A, Zetterberg H (2016) Defeating Alzheimer’s disease and other dementias: a priority for European science and society. Lancet Neurol 15, 455–532. [DOI] [PubMed] [Google Scholar]
- [2].Schneider JA, Arvanitakis Z, Bang W, Bennett DA (2007) Mixed brain pathologies account for most dementia cases in community-dwelling older persons. Neurology 69, 2197. [DOI] [PubMed] [Google Scholar]
- [3].Herbert J, Lucassen PJ (2016) Depression as a risk factor for Alzheimer’s disease: Genes, steroids, cytokines and neurogenesis - What do we need to know? Front Neuroendocrinol 41, 153–171. [DOI] [PubMed] [Google Scholar]
- [4].Protsenko E, Yang R, Nier B, Reus V, Hammamieh R, Rampersaud R, Wu GWY, Hough CM, Epel E, Prather AA, Jett M, Gautam A, Mellon SH, Wolkowitz OM (2021) “GrimAge,” an epigenetic predictor of mortality, is accelerated in major depressive disorder. Translational Psychiatry 11, 193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [5].Barnes DE, Yaffe K, Byers AL, McCormick M, Schaefer C, Whitmer RA (2012) Midlife vs late-life depressive symptoms and risk of dementia: differential effects for Alzheimer disease and vascular dementia. Arch Gen Psychiatry 69, 493–498. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [6].da Silva J, Goncalves-Pereira M, Xavier M, Mukaetova-Ladinska EB (2013) Affective disorders and risk of developing dementia: systematic review. Br J Psychiatry 202, 177–186. [DOI] [PubMed] [Google Scholar]
- [7].Goveas JS, Espeland MA, Woods NF, Wassertheil-Smoller S, Kotchen JM (2011) Depressive symptoms and incidence of mild cognitive impairment and probable dementia in elderly women: the Women’s Health Initiative Memory Study. J Am Geriatr Soc 59, 57–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [8].Katon W, Pedersen HS, Ribe AR, Fenger-Gron M, Davydow D, Waldorff FB, Vestergaard M (2015) Effect of depression and diabetes mellitus on the risk for dementia: a national population-based cohort study. JAMA Psychiatry 72, 612–619. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [9].Leonard BE (2017) Major Depression as a Neuroprogressive Prelude to Dementia: What Is the Evidence? Mod Trends Pharmacopsychiatry 31, 56–66. [DOI] [PubMed] [Google Scholar]
- [10].Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE (2005) Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 62, 593–602. [DOI] [PubMed] [Google Scholar]
- [11].Berger AK, Fratiglioni L, Forsell Y, Winblad B, Backman L (1999) The occurrence of depressive symptoms in the preclinical phase of AD: a population-based study. Neurology 53, 1998–2002. [DOI] [PubMed] [Google Scholar]
- [12].Gatz JL, Tyas SL, St John P, Montgomery P (2005) Do depressive symptoms predict Alzheimer’s disease and dementia? J Gerontol A Biol Sci Med Sci 60, 744–747. [DOI] [PubMed] [Google Scholar]
- [13].Saczynski JS, Beiser A, Seshadri S, Auerbach S, Wolf PA, Au R (2010) Depressive symptoms and risk of dementia: the Framingham Heart Study. Neurology 75, 35–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [14].Wilson RS, Barnes LL, Mendes de Leon CF, Aggarwal NT, Schneider JS, Bach J, Pilat J, Beckett LA, Arnold SE, Evans DA, Bennett DA (2002) Depressive symptoms, cognitive decline, and risk of AD in older persons. Neurology 59, 364–370. [DOI] [PubMed] [Google Scholar]
- [15].Green RC, Cupples LA, Kurz A, Auerbach S, Go R, Sadovnick D, Duara R, Kukull WA, Chui H, Edeki T, Griffith PA, Friedland RP, Bachman D, Farrer L (2003) Depression as a risk factor for Alzheimer disease: the MIRAGE Study. Arch Neurol 60, 753–759. [DOI] [PubMed] [Google Scholar]
- [16].Ismail Z, Elbayoumi H, Fischer CE, Hogan DB, Millikin CP, Schweizer T, Mortby ME, Smith EE, Patten SB, Fiest KM (2017) Prevalence of Depression in Patients With Mild Cognitive Impairment: A Systematic Review and Meta-analysis. JAMA Psychiatry 74, 58–67. [DOI] [PubMed] [Google Scholar]
- [17].Kaur D, Bucholc M, Finn DP, Todd S, Wong-Lin K, McClean PL (2020) Multi-time-point data preparation robustly reveals MCI and dementia risk factors. Alzheimers Dement (Amst) 12, e12116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [18].Lutz MW, Sprague D, Barrera J, Chiba-Falek O (2020) Shared genetic etiology underlying Alzheimer’s disease and major depressive disorder. Transl Psychiatry 10, 88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Lim PH, Wert SL, Tunc-Ozcan E, Marr R, Ferreira A, Redei EE (2018) Premature hippocampus-dependent memory decline in middle-aged females of a genetic rat model of depression. Behav Brain Res 353, 242–249. [DOI] [PubMed] [Google Scholar]
- [20].Butterfield DA, Halliwell B (2019) Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease. Nat Rev Neurosci 20, 148–160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [21].Yaribeygi H, Panahi Y, Javadi B, Sahebkar A (2018) The Underlying Role of Oxidative Stress in Neurodegeneration: A Mechanistic Review. CNS Neurol Disord Drug Targets 17, 207–215. [DOI] [PubMed] [Google Scholar]
- [22].Malysheva OV, Ordyan NE (2022) Insulin-Like Growth Factor 2: New Roles for a Known Molecule. Neuroscience and Behavioral Physiology 52, 175–182. [Google Scholar]
- [23].Chen DY, Stern SA, Garcia-Osta A, Saunier-Rebori B, Pollonini G, Bambah-Mukku D, Blitzer RD, Alberini CM (2011) A critical role for IGF-II in memory consolidation and enhancement. Nature 469, 491–497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [24].Stern SA, Chen DY, Alberini CM (2014) The effect of insulin and insulin-like growth factors on hippocampus- and amygdala-dependent long-term memory formation. Learn Mem 21, 556–563. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [25].Steinmetz AB, Stern SA, Kohtz AS, Descalzi G, Alberini CM (2018) Insulin-Like Growth Factor II Targets the mTOR Pathway to Reverse Autism-Like Phenotypes in Mice. J Neurosci 38, 1015–1029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Schuch JJ, Roest AM, Nolen WA, Penninx BW, de Jonge P (2014) Gender differences in major depressive disorder: results from the Netherlands study of depression and anxiety. J Affect Disord 156, 156–163. [DOI] [PubMed] [Google Scholar]
- [27].Chene G, Beiser A, Au R, Preis SR, Wolf PA, Dufouil C, Seshadri S (2015) Gender and incidence of dementia in the Framingham Heart Study from mid-adult life. Alzheimers Dement 11, 310–320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [28].Koran MEI, Wagener M, Hohman TJ, Alzheimer’s Neuroimaging I (2017) Sex differences in the association between AD biomarkers and cognitive decline. Brain Imaging Behav 11, 205–213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [29].Lin KA, Choudhury KR, Rathakrishnan BG, Marks DM, Petrella JR, Doraiswamy PM, Alzheimer’s Disease Neuroimaging I (2015) Marked gender differences in progression of mild cognitive impairment over 8 years. Alzheimers Dement (N Y) 1, 103–110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Sundermann EE, Katz MJ, Lipton RB (2017) Sex Differences in the Relationship between Depressive Symptoms and Risk of Amnestic Mild Cognitive Impairment. Am J Geriatr Psychiatry 25, 13–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [31].Ferretti MT, Iulita MF, Cavedo E, Chiesa PA, Schumacher Dimech A, Santuccione Chadha A, Baracchi F, Girouard H, Misoch S, Giacobini E, Depypere H, Hampel H, Women’s Brain P, the Alzheimer Precision Medicine I (2018) Sex differences in Alzheimer disease - the gateway to precision medicine. Nat Rev Neurol 14, 457–469. [DOI] [PubMed] [Google Scholar]
- [32].Bove R, Secor E, Chibnik LB, Barnes LL, Schneider JA, Bennett DA, De Jager PL (2014) Age at surgical menopause influences cognitive decline and Alzheimer pathology in older women. Neurology 82, 222–229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [33].Rocca WA, Bower JH, Maraganore DM, Ahlskog JE, Grossardt BR, de Andrade M, Melton LJ, 3rd (2007) Increased risk of cognitive impairment or dementia in women who underwent oophorectomy before menopause. Neurology 69, 1074–1083. [DOI] [PubMed] [Google Scholar]
- [34].Barron AM, Pike CJ (2012) Sex hormones, aging, and Alzheimer’s disease. Front Biosci (Elite Ed) 4, 976–997. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [35].Hwang WJ, Lee TY, Kim NS, Kwon JS (2020) The Role of Estrogen Receptors and Their Signaling across Psychiatric Disorders. Int J Mol Sci 22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [36].Luine V, Frankfurt M (2020) Estrogenic regulation of memory: The first 50 years. Horm Behav 121, 104711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [37].Redei EE, Ciolino JD, Wert SL, Yang A, Kim S, Clark C, Zumpf KB, Wisner KL (2021) Pilot validation of blood-based biomarkers during pregnancy and postpartum in women with prior or current depression. Translational Psychiatry 11, 68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [38].Annese A, Manzari C, Lionetti C, Picardi E, Horner DS, Chiara M, Caratozzolo MF, Tullo A, Fosso B, Pesole G, D’Erchia AM (2018) Whole transcriptome profiling of Late-Onset Alzheimer’s Disease patients provides insights into the molecular changes involved in the disease. Sci Rep 8, 4282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [39].Crist AM, Hinkle KM, Wang X, Moloney CM, Matchett BJ, Labuzan SA, Frankenhauser I, Azu NO, Liesinger AM, Lesser ER, Serie DJ, Quicksall ZS, Patel TA, Carnwath TP, DeTure M, Tang X, Petersen RC, Duara R, Graff-Radford NR, Allen M, Carrasquillo MM, Li H, Ross OA, Ertekin-Taner N, Dickson DW, Asmann YW, Carter RE, Murray ME (2021) Transcriptomic analysis to identify genes associated with selective hippocampal vulnerability in Alzheimer’s disease. Nat Commun 12, 2311. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [40].van Rooij JGJ, Meeter LHH, Melhem S, Nijholt DAT, Wong TH, Netherlands Brain B, Rozemuller A, Uitterlinden AG, van Meurs JG, van Swieten JC (2019) Hippocampal transcriptome profiling combined with protein-protein interaction analysis elucidates Alzheimer’s disease pathways and genes. Neurobiol Aging 74, 225–233. [DOI] [PubMed] [Google Scholar]
- [41].Wang L, Zang Y, He Y, Liang M, Zhang X, Tian L, Wu T, Jiang T, Li K (2006) Changes in hippocampal connectivity in the early stages of Alzheimer’s disease: evidence from resting state fMRI. Neuroimage 31, 496–504. [DOI] [PubMed] [Google Scholar]
- [42].Pardo JV, Lee JT, Sheikh SA, Surerus-Johnson C, Shah H, Munch KR, Carlis JV, Lewis SM, Kuskowski MA, Dysken MW (2007) Where the brain grows old: decline in anterior cingulate and medial prefrontal function with normal aging. Neuroimage 35, 1231–1237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [43].MacDonald AW 3rd, Cohen JD, Stenger VA, Carter CS (2000) Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control. Science 288, 1835–1838. [DOI] [PubMed] [Google Scholar]
- [44].Hirono N, Mori E, Ishii K, Ikejiri Y, Imamura T, Shimomura T, Hashimoto M, Yamashita H, Sasaki M (1998) Frontal lobe hypometabolism and depression in Alzheimer’s disease. Neurology 50, 380–383. [DOI] [PubMed] [Google Scholar]
- [45].Montine TJ, Monsell SE, Beach TG, Bigio EH, Bu Y, Cairns NJ, Frosch M, Henriksen J, Kofler J, Kukull WA, Lee EB, Nelson PT, Schantz AM, Schneider JA, Sonnen JA, Trojanowski JQ, Vinters HV, Zhou XH, Hyman BT (2016) Multisite assessment of NIA-AA guidelines for the neuropathologic evaluation of Alzheimer’s disease. Alzheimers Dement 12, 164–169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [46].Wojsiat J, Zoltowska KM, Laskowska-Kaszub K, Wojda U (2018) Oxidant/Antioxidant Imbalance in Alzheimer’s Disease: Therapeutic and Diagnostic Prospects. Oxid Med Cell Longev 2018, 6435861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [47].Nunomura A, Perry G, Aliev G, Hirai K, Takeda A, Balraj EK, Jones PK, Ghanbari H, Wataya T, Shimohama S, Chiba S, Atwood CS, Petersen RB, Smith MA (2001) Oxidative damage is the earliest event in Alzheimer disease. J Neuropathol Exp Neurol 60, 759–767. [DOI] [PubMed] [Google Scholar]
- [48].Arce-Varas N, Abate G, Prandelli C, Martinez C, Cuetos F, Menendez M, Marziano M, Cabrera-Garcia D, Fernandez-Sanchez MT, Novelli A, Memo M, Uberti D (2017) Comparison of Extracellular and Intracellular Blood Compartments Highlights Redox Alterations in Alzheimer’s and Mild Cognitive Impairment Patients. Curr Alzheimer Res 14, 112–122. [DOI] [PubMed] [Google Scholar]
- [49].Zabel M, Nackenoff A, Kirsch WM, Harrison FE, Perry G, Schrag M (2018) Markers of oxidative damage to lipids, nucleic acids and proteins and antioxidant enzymes activities in Alzheimer’s disease brain: A meta-analysis in human pathological specimens. Free Radic Biol Med 115, 351–360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [50].Salim S (2017) Oxidative Stress and the Central Nervous System. J Pharmacol Exp Ther 360, 201–205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [51].Behr GA, Moreira JC, Frey BN (2012) Preclinical and clinical evidence of antioxidant effects of antidepressant agents: implications for the pathophysiology of major depressive disorder. Oxid Med Cell Longev 2012, 609421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [52].Bajpai A, Verma AK, Srivastava M, Srivastava R (2014) Oxidative stress and major depression. J Clin Diagn Res 8, Cc04–07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [53].Bhatt S, Nagappa AN, Patil CR (2020) Role of oxidative stress in depression. Drug Discovery Today 25, 1270–1276. [DOI] [PubMed] [Google Scholar]
- [54].Thakare VN, Patel BM (2015) Potential targets for the development of novel antidepressants: future perspectives. CNS Neurol Disord Drug Targets 14, 270–281. [DOI] [PubMed] [Google Scholar]
- [55].Lindqvist D, Dhabhar FS, James SJ, Hough CM, Jain FA, Bersani FS, Reus VI, Verhoeven JE, Epel ES, Mahan L, Rosser R, Wolkowitz OM, Mellon SH (2017) Oxidative stress, inflammation and treatment response in major depression. Psychoneuroendocrinology 76, 197–205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [56].Maes M, Galecki P, Chang YS, Berk M (2011) A review on the oxidative and nitrosative stress (O&NS) pathways in major depression and their possible contribution to the (neuro)degenerative processes in that illness. Prog Neuropsychopharmacol Biol Psychiatry 35, 676–692. [DOI] [PubMed] [Google Scholar]
- [57].Bettio LE, Freitas AE, Neis VB, Santos DB, Ribeiro CM, Rosa PB, Farina M, Rodrigues AL (2014) Guanosine prevents behavioral alterations in the forced swimming test and hippocampal oxidative damage induced by acute restraint stress. Pharmacol Biochem Behav 127, 7–14. [DOI] [PubMed] [Google Scholar]
- [58].Steen E, Terry BM, Rivera EJ, Cannon JL, Neely TR, Tavares R, Xu XJ, Wands JR, de la Monte SM (2005) Impaired insulin and insulin-like growth factor expression and signaling mechanisms in Alzheimer’s disease--is this type 3 diabetes? J Alzheimers Dis 7, 63–80. [DOI] [PubMed] [Google Scholar]
- [59].Rivera EJ, Goldin A, Fulmer N, Tavares R, Wands JR, de la Monte SM (2005) Insulin and insulin-like growth factor expression and function deteriorate with progression of Alzheimer’s disease: link to brain reductions in acetylcholine. J Alzheimers Dis 8, 247–268. [DOI] [PubMed] [Google Scholar]
- [60].Pascual-Lucas M, Viana da Silva S, Di Scala M, Garcia-Barroso C, González-Aseguinolaza G, Mulle C, Alberini CM, Cuadrado-Tejedor M, Garcia-Osta A (2014) Insulin-like growth factor 2 reverses memory and synaptic deficits in APP transgenic mice. EMBO Molecular Medicine 6, 1246–1262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [61].Lee Y, Lee YW, Gao Q, Lee Y, Lee HE, Ryu JH (2015) Exogenous insulin-like growth factor 2 administration enhances memory consolidation and persistence in a time-dependent manner. Brain Res 1622, 466–473. [DOI] [PubMed] [Google Scholar]
- [62].Poggini S, Golia MT, Alboni S, Milior G, Sciarria LP, Viglione A, Matte Bon G, Brunello N, Puglisi-Allegra S, Limatola C, Maggi L, Branchi I (2019) Combined Fluoxetine and Metformin Treatment Potentiates Antidepressant Efficacy Increasing IGF2 Expression in the Dorsal Hippocampus. Neural Plasticity 2019, 4651031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [63].Martín-Montañez E, Valverde N, Ladrón de Guevara-Miranda D, Lara E, Romero-Zerbo YS, Millon C, Boraldi F, Ávila-Gámiz F, Pérez-Cano AM, Garrido-Gil P, Labandeira-Garcia JL, Santin LJ, Pavia J, Garcia-Fernandez M (2021) Insulin-like growth factor II prevents oxidative and neuronal damage in cellular and mice models of Parkinson’s disease. Redox Biol 46, 102095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [64].Mielke MM (2018) Sex and Gender Differences in Alzheimer’s Disease Dementia. Psychiatr Times 35, 14–17. [PMC free article] [PubMed] [Google Scholar]
- [65].Tang MX, Jacobs D, Stern Y, Marder K, Schofield P, Gurland B, Andrews H, Mayeux R (1996) Effect of oestrogen during menopause on risk and age at onset of Alzheimer’s disease. Lancet 348, 429–432. [DOI] [PubMed] [Google Scholar]
- [66].Yue X, Lu M, Lancaster T, Cao P, Honda S, Staufenbiel M, Harada N, Zhong Z, Shen Y, Li R (2005) Brain estrogen deficiency accelerates Abeta plaque formation in an Alzheimer’s disease animal model. Proc Natl Acad Sci U S A 102, 19198–19203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [67].Newhouse P, Dumas J (2015) Estrogen-cholinergic interactions: Implications for cognitive aging. Horm Behav 74, 173–185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [68].Geula C, Dunlop SR, Ayala I, Kawles AS, Flanagan ME, Gefen T, Mesulam MM (2021) Basal forebrain cholinergic system in the dementias: Vulnerability, resilience, and resistance. J Neurochem 158, 1394–1411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [69].Guo L, Zhong MB, Zhang L, Zhang B, Cai D (2022) Sex Differences in Alzheimer’s Disease: Insights From the Multiomics Landscape. Biol Psychiatry 91, 61–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [70].Winkler JM, Fox HS (2013) Transcriptome meta-analysis reveals a central role for sex steroids in the degeneration of hippocampal neurons in Alzheimer’s disease. BMC Syst Biol 7, 51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [71].Hughes ZA, Liu F, Platt BJ, Dwyer JM, Pulicicchio CM, Zhang G, Schechter LE, Rosenzweig-Lipson S, Day M (2008) WAY-200070, a selective agonist of estrogen receptor beta as a potential novel anxiolytic/antidepressant agent. Neuropharmacology 54, 1136–1142. [DOI] [PubMed] [Google Scholar]
- [72].Long J, He P, Shen Y, Li R (2012) New evidence of mitochondria dysfunction in the female Alzheimer’s disease brain: deficiency of estrogen receptor-β. J Alzheimers Dis 30, 545–558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [73].Guennoun R, Labombarda F, Gonzalez Deniselle MC, Liere P, De Nicola AF, Schumacher M (2015) Progesterone and allopregnanolone in the central nervous system: Response to injury and implication for neuroprotection. The Journal of Steroid Biochemistry and Molecular Biology 146, 48–61. [DOI] [PubMed] [Google Scholar]
- [74].González SL, Coronel MF, Raggio MC, Labombarda F (2020) Progesterone receptor-mediated actions and the treatment of central nervous system disorders: An up-date of the known and the challenge of the unknown. Steroids 153, 108525. [DOI] [PubMed] [Google Scholar]
- [75].Zhu Y, Bond J, Thomas P (2003) Identification, classification, and partial characterization of genes in humans and other vertebrates homologous to a fish membrane progestin receptor. Proc Natl Acad Sci U S A 100, 2237–2242. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [76].Zuloaga DG, Yahn SL, Pang Y, Quihuis AM, Oyola MG, Reyna A, Thomas P, Handa RJ, Mani SK (2012) Distribution and estrogen regulation of membrane progesterone receptor-β in the female rat brain. Endocrinology 153, 4432–4443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [77].Pang Y, Dong J, Thomas P (2013) Characterization, neurosteroid binding and brain distribution of human membrane progesterone receptors δ and {epsilon} (mPRδ and mPR{epsilon}) and mPRδ involvement in neurosteroid inhibition of apoptosis. Endocrinology 154, 283–295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [78].Marx CE, Trost WT, Shampine LJ, Stevens RD, Hulette CM, Steffens DC, Ervin JF, Butterfield MI, Blazer DG, Massing MW, Lieberman JA (2006) The neurosteroid allopregnanolone is reduced in prefrontal cortex in Alzheimer’s disease. Biol Psychiatry 60, 1287–1294. [DOI] [PubMed] [Google Scholar]
- [79].Naylor JC, Kilts JD, Hulette CM, Steffens DC, Blazer DG, Ervin JF, Strauss JL, Allen TB, Massing MW, Payne VM, Youssef NA, Shampine LJ, Marx CE (2010) Allopregnanolone levels are reduced in temporal cortex in patients with Alzheimer’s disease compared to cognitively intact control subjects. Biochim Biophys Acta 1801, 951–959. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [80].Schüle C, Nothdurfter C, Rupprecht R (2014) The role of allopregnanolone in depression and anxiety. Progress in Neurobiology 113, 79–87. [DOI] [PubMed] [Google Scholar]
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