Abstract
Background:
Hormone therapy (HT) has not consistently reduced atherosclerotic cardiovascular disease (ASCVD) events in post-menopausal women, yet the underlying mechanisms remain poorly understood.
Methods:
Female Ldlr−/− mice with established atherosclerosis were subjected to surgical menopause and treated with 17β-estradiol (E2) following lipid normalization. Studies were performed in aging and young mice. To determine whether inflammation mediates the age-dependent response to HT, a cohort of aging mice underwent transplantation with Ifnγ−/− bone marrow (BM) before hormone treatments. Metabolic parameters, HDL function, systemic inflammation, atherosclerotic burden, liver metabolic and oxidative stress signaling, and hepatic estrogen receptor signaling were evaluated.
Results:
In aging mice, menopause E2 treatment failed to reduce established atherosclerosis as shown in sham operated mice during lipid normalization. Instead, E2 treatment increased circulating IFNγ and IL-6, impaired HDL antioxidant and cholesterol efflux functions, and promoted inflammatory and vulnerable plaque phenotypes. Suppression of inflammation through Ifnγ−/−BM transplantation restored HDL function and significantly reduced atherosclerosis in E2-treated aging mice. In contrast to aging mice, young mice exhibited reduced systemic and plaque inflammation, improved HDL functions and atherosclerosis following E2 treatment. Liver RNA sequencing and qPCR validation identified activation of inflammatory, oxidative stress, and lipid metabolic pathways in aging E2-treated mice, which were largely attenuated following Ifnγ−/− bone marrow transplantation as well as in young mice. Compared to young mice, aging mice presented hepatic estrogen receptor remodeling characterized by reduced estrogen receptor α (ERα) expression and increased G-protein coupled estrogen receptor (GPER) expression. Constitutive GPER activation was accompanied by induction of NOX1-dependent oxidative stress, which was further exacerbated by E2 treatment, leading to persistent inflammation.
Conclusions:
The cardiovascular effects of estrogen therapy are fundamentally age dependent. Aging shifts estrogen signaling toward hepatic oxidative stress and inflammation through increased GPER. While E2 treatment preserves both metabolic and cardiovascular protection in young mice, aging exacerbates GPER-NOX1-mediated oxidative stress, resulting in impaired HDL function and persistent residual ASCVD risk. These findings identify inflammation-driven, non-lipid mechanisms as potential therapeutic targets to improve cardiovascular outcomes during hormone therapy in postmenopausal women.
Introduction
Atherosclerotic cardiovascular diseases (ASCVD) is a leading cause of mortality worldwide and the leading cause of death for women in the United States. Pre-menopausal women have about half the risk of developing atherosclerosis compared with men of the same age1,2 and typically experience ASCVD onsets nearly a decade later. This woman-specific cardiometabolic protection is largely lost after menopause as circulating estrogen levels decline, suggesting estrogens play a key role in the cardiometabolic benefits in premenopausal women. However, hormone therapy (HT) approaches have not consistently replicated this kind of protection in postmenopausal women.
The cardiometabolic benefits of estrogens has been demonstrated in clinical and pre-clinical studies. Estrogens play a critical role in maintaining metabolic health in both women and men. In women who undergo bilateral oophorectomy before age 45, HT improves HDL cholesterol levels and attenuates many of the adverse metabolic changes that occur after surgery3. In men, estrogens are primarily generated through the conversion of testosterone and androstenedione to estradiol and estrone, respectively, by the enzyme aromatase4. Men with aromatase deficiency or mutations in the ERα gene often present central adiposity, insulin resistance, fatty liver disease, and impaired glucose homeostasis, all of which can be improved by HT4–6. Consistent with these observations, experimental suppression of aromatase activity in healthy men induces insulin resistance, highlighting the essential role of estrogens in regulating metabolism and insulin sensitivity7.
Mechanisms underlying the metabolic benefits of estrogens have been extensively elucidated in preclinical studies. Estrogens exert their biological effects through three receptors: ERα, ERβ, and GPER. Among these, ERα is the principal mediator of metabolic homeostasis, playing a critical role in maintaining glucose homeostasis8,9. In skeletal muscle, estrogens enhance insulin sensitivity through multiple actions, including ERα-mediated Akt activation, which promotes glucose transporter type 4 (GLUT4) translocation and glucose uptake10,11. Estrogens stimulate mitochondrial biogenesis through phosphoinositide 3-kinase (PI3K) and extracellular signal-related kinase 1 and 2 (ERK1/2) signaling pathways12. Increased mitochondrial capacity supports efficient fatty acid oxidation and prevents the accumulation of lipid intermediates that impair insulin signaling. In adipose tissue, estrogens promote adiponectin secretion and ERα-dependent browning of white adipose tissue, thereby enhancing energy expenditure13. We have previously demonstrated that hepatic ERα signaling is required to limit liver fat accumulation and maintaining glucose homeostasis during high fat diet feeding14,15. Interestingly, estrogen treatment improved metabolism but induced pro-inflammatory effects in ovariectomized rats fed a high fat diet, highlighting a potential mechanistic link between estrogen's beneficial metabolic actions and its context-dependent adverse cardiovascular effects16.
Recent meta-analyses of clinical trials show that HT, including both mono-estrogen and combined estrogen-progestin regimens, improves glucose homeostasis and related metabolic parameters in non-diabetic postmenopausal women17. However, regarding ASCVD events, HT approaches have not yet shown consistent benefits in postmenopausal women18–20. Cardiovascular benefits observed in early years of HT led to the “timing hypothesis,” which posits that HT effects depend on the timing of initiation relative to age and years since menopause21. Support for this concept is primarily from The Early versus Late Intervention Trial with Estradiol (ELITE), which enrolled healthy post-menopausal women without diabetes or clinical evidence of atherosclerosis to receive placebo or oral estradiol22. Participants were stratified according to menopause onset. Women who initiated HT within 6 years of menopause exhibited significantly slower progression of carotid intima-media thickness (CIMT), a surrogate marker of atherosclerosis, compared with placebo-treated controls after 5 years of intervention22. In contrast, among women who initiated HT more than 10 years after menopause, no significant difference in CIMT progression was observed between the HT and placebo groups22.
In the Heart and Estrogen/Progestin Replacement Studies and follow up prognostic studies (HERS/HERS II), post-menopausal women with established coronary atherosclerotic disease were enrolled18,19. Despite favorable changes in lipid profiles, HT did not significantly reduce the overall incidence of primary outcomes, including myocardial infarction and coronary heart disease death, nor did it improve their secondary outcomes such as cardiac arrest, stroke, and transient ischemic attack after ~7 years follow up18,19. Similar findings were reported in other trials involving postmenopausal women with clinical evidence of pre-existing atherosclerosis, including the Estrogen Replacement and Atherosclerosis Trial (ERA), Women’s Estrogen-Progestin Lipid-Lowering Hormone Atherosclerosis Regression Trial (WELL-HART), and Women’s Angiographic Vitamin and Estrogen Trial (WAVE) studies20,21,23–25. Notably, increases in inflammatory markers, such as C-reactive protein, were observed following HT, suggesting that persistent inflammation may diminish the cardiovascular benefits of hormone therapy20,23.
To understand the underlying mechanisms for the discordance between metabolic improvements of hormone therapy and its limited cardiovascular benefits, we developed mouse models of preexisting atherosclerosis incorporating 17β-estradiol (E2) treatment after surgical menopause (ovariectomy) across the lifespan of hyperlipidemia mice. Our findings show that E2 treatment in aging Ldlr−/− mice with established atherosclerosis improves metabolic parameters but increases systemic inflammation and fails to reduce atherosclerotic burden during hyperlipidemia normalization. Importantly, suppression of inflammation through expanding Ifnγ−/− bone marrow significantly attenuates atherosclerosis in aging mice during menopausal E2 treatment. These findings closely mirror clinical observations and support a critical role for inflammation-driven, non-lipid mechanisms in residual ASCVD risk during hormone therapy. Mechanistically, the persistent inflammatory state in aging E2-treated mice is associated with increased expression of genes in inflammatory and hepatic oxidative stress pathways. In contrast, young mice exhibit markedly lower inflammatory and oxidative stress responses to E2 treatment, and reduced atherosclerotic burden. The expression of inflammatory genes is estrogen responsive in both aging and young mice. Additionally, we observed age-dependent ER remodeling in the liver, characterized by reduced hepatic ERα dominance and enrichment of ERβ and GPER signaling in aging mice. Constitutive activation of GPER induces NADPH oxidase 1 (NOX1), leading to increased oxidative stress and inflammatory signaling. Our findings provide mechanistic insight into how aging-driven dysfunction and estrogen-induced inflammation may compromise the cardiometabolic benefits of hormone therapy and contribute to residual ASCVD risk in postmenopausal women.
Materials and Methods
Animal Studies:
The mouse colonies are housed and maintained in 12-hour light/dark cycles in temperature and humidity-controlled facilities with ad-libitum access to a chow and water. Ldlr−/− (Jax. Strain #002207) and Ifnγ−/− (Jax. Strain #00287) mice were originally purchased from Jax lab. All mouse experiments were approved under the Institutional Animal Care and Use Committee at Vanderbilt University Medical Center and The Ohio State University.
Cardiometabolic effects of hormone treatments: To investigate inflammation with hormone therapy in postmenopausal women with preexisting atherosclerosis, we developed mouse models including established atherosclerosis, normalization of hyperlipidemia, and menopause E2 treatment (Fig. 1A). Briefly, atherosclerosis is established with Western diet (Research Diets Inc., D12079B) in female Ldlr−/− mice. 12 weeks later, WD was changed to a chow diet. A group of mice were sacrificed 14 days after changing diet to chow when atherosclerosis peaks and served as baseline control. The rest of the mice underwent surgeries for hormone treatments, i.e. E2 treatment after surgical menopause by ovariectomy (OVX+E2), OVX, and sham, following the procedures we reported before14,26. Immediately following ovariectomy, E2 treatment was administered through the same incision to subcutaneously implant a β estradiol pellet (Innovative Research, NE 121, 0.25 mg, 90 day release) in the shoulder region using sterile forceps. Post operative analgesia was administered after surgery with repeat doses every 12hrs for at least 48hrs, or longer as needed based on pain assessment. After an additional 10 weeks of chow diet feeding, mice were sacrificed after 5 hours of fasting; serum, liver tissues, and aorta were collected and appropriately stored for the analysis of metabolic changes and atherosclerosis burden.
Figure 1. Estrogen treatment improves metabolic parameters following lipid normalization in aging Ldlr−/− mice.
A. Schematic of the study design. B-C: Fasting serum total cholesterol levels. (B)Fasting serum triglyceride (TG) levels (C). D-E: Serum cholesterol (D) and TG (E) distribution determined by fast protein liquid chromatography (FPLC). F. Fasting serum insulin concentrations. Data are presented as mean ± SEM (n >=7). Statistical analyses were performed using one-way ANOVA. a: P<0.05 compared to Western diet (WD) conditions. *, P < 0.05; **, P < 0.01; ***, P < 0.001.
Bone Marrow Transplant (BMT): In this study, inflammation was suppressed by bone marrow transplantation using donor cells from Ifnγ−/− mice as we reported before27. Briefly, after 12-week of WD feeding, mice were reconstituted with Ifnγ−/− bone marrow from 6–8 weeks old donor mice following fetal irradiation (900 rad). All mice were recovered on a chow diet for 2 weeks and subjected to surgeries for hormone treatments14.
Lipid, insulin, and inflammatory marker assessments
Fast protein liquid chromatography (FPLC, Superose 6 column, GE healthcare) was utilized to separate lipoproteins (VLDL, LDL, HDL) from pooled serum samples from 2–3 mice. Cholesterol and triglyceride levels in total serum and FPLC fractions were assessed via enzymatic colorimetric assays using colorimetric kits (Cholesterol Reagent and Triglycerides GPO Reagent kits, Raichem, San Diego, CA) as we described before28.
Fasting serum insulin concentrations were measured using a commercially available mouse insulin ELISA kit (Crystal Chem, Cat. # 90080) according to the manufacturer’s instructions. Circulating inflammatory markers in aging mice, including recipients of Ifnγ−/−BM transplantation, were quantified using mouse IFNγ (R&D Systems, Cat. # MIF00) and IL-6 (R&D Systems, Cat. # M600B) ELISA kits according to the manufacturer’s protocols.
Liver lipid contents for all mice and circulating inflammatory markers for young mice were assessed by the Vanderbilt Medical Center Hormone & Analytical Service Core29.
HDL function assays
HDL function was evaluated with ApoB-free serum as we reported before30.
Antioxidant capacity was quantified using the OxiSelect Total Antioxidant Capacity Assay Kit (Cell Biolabs, Cat. # STA-360) according to the manufacturer’s instructions. Total antioxidant power was converted and represented as Copper Reducing Equivalents (CRE) as we described before31.
Cholesterol efflux assays were performed following the protocol we reported before. Briefly, human monocyte THP-1 cells were differentiated into macrophages using phorbol 12-myristate 13-acetate (PMA, 10ng/mL, Sigma-Aldrich) treatment for 48hr. The PMA-treated THP-1 cells were then washed twice with PBS and seeded onto 24-well plates (3×105 cells per well). 4 hours later, non-adherent cells are removed, and plates were washed twice with PBS. Cells were incubated with a mixture of 3μci/mL 1,2-3H-cholesterol and acetylated LDL (250 μg/mL, Alfa Aesar) in DMEM with 0.25% BSA (Sigma Aldrich, MAK192) or were labelled with fluorescent cholesterol in a Labeling Reagent (Abcam, ab196985) for 1hr at 37°C. Cells were cultured in DMEM with 0.25% BSA and 3H-cholesterol+LDL or Equilibration Buffer + RPMI at 37°C overnight. Cells are then washed twice with PBS and then treated with HDL diluted in 0.25% BSA in DMEM or treated with HDL diluted in RPMI and incubated for 4hr at 37°C. Cells were then filtered out (Millipore Cat No. MAHVN4510) for media collection that was analyzed using Liquid scintillation counting (LSC) or cells were lysed (Lysis Buffer I, Abcam) and lysate was measured on a spectral microplate reader (SpectraMax M2) at 523nm. Cholesterol efflux capacity was calculated by dividing measured fluorescence intensity in the supernatant by the sum of the fluorescence intensity of the supernatant and cell lysate, then multiplied by 100.
Characterization of atherosclerotic lesion
We characterized atherosclerotic burden by analyzing atherosclerotic lesion sizes, lesion inflammation and vulnerability. Lesion sizes were quantified after frozen cross sections of aortic root were stained with Oil Red O as we previously described26,30,32 . Lesion inflammation was evaluated with CD68+ staining. Briefly, sections were fixed in cold acetone for 10min, washed twice with PBS, blocked in background buster (Innovex) for an 1hr at 37°C, and incubated with primary antibody for CD68+ (Calbiochem) at 4°C overnight. After incubation, sections were washed 3 times with PBS and incubated with secondary antibodies (Alexa Fluor 488 anti-rabbit IgG, Life Technologies) at 37°C for 1hr. Lesion vulnerability was analyzed by necrotic core quantification as previously described32. Images were captured using an Olympus IX81 microscope and analyzed using the KS300 imaging system (Kontron Elektronik GmbH) or Image J software.
Liver Bulk RNAseq and Gene Expression
Liver mRNA was assessed through bulk-RNAseq and qPCR for gene expression changes. Mice were sacrificed, and liver samples were flash-frozen in liquid nitrogen immediately and stored in −80°C until later use. Liver tissue (25mg) was bead-homogenized and total RNA was isolated according to manufacturer’s instructions (Direct-zol RNA Miniprep Kit, Zymo Research, USA). Isolated RNA was treated with DNAse I and submitted (~80ng/μL) to Vanderbilt Technologies for Advanced Genomics (VANTAGE) core laboratory for Next-Generation sequencing. RNA samples were sequenced using multiplexed Paired-End 150bp on the Illumina NovaSeq 6000, quality control (QC) was evaluated at different levels including RNA quality, raw read data, alignment, and gene expression. Raw paired-end reads were mapped to the mouse reference genome mm10 using STAR 2.7.333. Feature count was used to calculate raw read counts and downstream analysis34. Differential gene expression and functional enrichment analyses were performed in R (version 3.6) with several Bioconductor packages: DESeq2, clusterProfiler. Comparisons were made between the sham and E2-treatment groups. Results for specific comparison were extracted by combinations of coefficients with DESeq2. A 5% false discovery rate threshold was used for significant results filtering.
Gene expression was validated with qPCR. RNAs were isolated from liver samples and complementary DNA was synthesized from 1μg of RNA (iScript, Bio-Rad, USA). Quantitative PCR was performed in duplicate using TaqMan primers (Supplemental Table 1) and reagents.
Statistical Analysis
Data are expressed as mean±SEM unless otherwise stated. Data are summarized using the mean and standard error of the mean. Statistical differences were analyzed by proper ANOVA with post-hoc multiple comparison test as indicated in each figure legend. P-values <0.05 were considered statistically significant. Statistical analysis of RNA-seq datasets is indicated above.
Results
Menopause hormone treatment fails to improve atherosclerosis following lipid normalization in aging mice.
To model postmenopausal hormone therapy in the setting of established atherosclerosis, female Ldlr−/− mice were fed a Western diet for 12 weeks beginning at 8 months of age to induce atherosclerosis and were subsequently switched to a chow diet to normalize plasma lipids (Fig. 1A). Two weeks after switching diet, when the atherosclerotic plaque peaks, one group of mice were euthanized for baseline plaque evaluation. The rest of the mice were divided into three groups with matching body composition for hormone treatments, including sham surgery, ovariectomy (OVX), and OVX with estradiol replacement (OVX+E2). After 10 weeks of treatments while fed a chow diet, mice were euthanized for the assessment of metabolic parameters and atherosclerotic burden. Chow diet significantly reduced fasting triglyceride (TG) and cholesterol levels, accompanied by markedly improved lipoprotein profiles across all hormone treatment groups. (Fig. 1B). During lipid normalization, fasting TG concentrations remained elevated in OVX mice compared with baseline and sham-operated groups, whereas estrogen treatment with 17β-estradiol (E2) significantly reduced triglyceride levels to values below baseline groups (Fig. 1C), and cholesterol levels were not significantly different between hormone treatment groups (Fig. 1D). Lipid normalization markedly decreased atherogenic VLDL- and LDL-associated cholesterol and TGs compared with Western diet-fed mice (Fig. 1D–E and Suppl. Fig. 1). Analysis of lipid distribution revealed that LDL-cholesterol was higher in OVX mice than both sham and OVX+E2 mice, whereas TG content within VLDL fractions was in a trend of increase after ovariectomy compared with sham mice, consistent with the reduction in fasting plasma TGs (Suppl. Fig. 1). Fasting insulin concentrations were significantly reduced in all chow-fed groups relative to the Western diet group and were not significantly different between hormone treatment groups (Fig. 1F). These findings demonstrate that switching from Western diet to chow diet effectively normalizes hyperlipidemia and improves insulin homeostasis in aging Ldlr−/− mice. Importantly, estrogen treatment further improves triglyceride metabolism during lipid normalization, supporting a beneficial effect of hormone therapy on systemic metabolic function.
To explore the impact of estradiol treatment on atherosclerotic burden, we analyzed lesion area in aortic root through Oil Red O quantification for lesion sizes, CD68+ immunofluorescent staining for inflammatory responses, and necrotic core area for plaque vulnerability. The overall lesion sizes of hormone treatment groups were not significantly different from baseline, yet OVX and OVX+E2 mice had significantly higher lesion area than sham-operated group (Fig. 2A–B). CD68+ area, stained as a marker for macrophages, was significantly higher in OVX and OVX+E2 mice than in sham mice (Fig. 2C). Plaque vulnerability represented by necrotic core area demonstrated a similar profile seen in CD68+ staining, significantly higher in OVX and OVX+E2 mice than in sham mice (Fig. 2D). Plaque vulnerability and inflammation are strongly associated with clinical cardiovascular events in humans. Notably, both vulnerability and inflammation were reduced in sham mice compared with baseline, indicating an improvement in atherosclerotic burden that was not presented in OVX+E2 mice.
Figure 2. Estrogen treatment fails to reduce atherosclerotic burden during lipid normalization in aging mice.
A. Representative Oil Red O staining of aortic root sections. B. Quantification Oil Red O positive lesion area in the aortic root. C. Atherosclerotic plaque inflammatory status assessed by CD68+ immunofluorescent staining for macrophage-positive area. D. Plaque vulnerability assessed by quantification of necrotic core area. E-F: Circulating concentrations of inflammatory markers IFNγ (E) and IL-6 (F) levels. G-H: HDL anti-oxidative property (G) and cholesterol efflux capacity (H). Data are presented as mean ± SEM (n>=7). Statistical analysis was performed using one-way ANOVA. a: P<0.05 compared to Western Diet (WD) feeding conditions; b: P<0.05 compared to baseline (BL) conditions; *, P<0.05; **, P<0.01; ***, P<0.001; ****, P<0.0001.
We next evaluated circulating inflammatory markers and HDL function to identify a potential mechanism for the failure to reduce atherosclerotic burden. Lipid normalization significantly reduced circulating inflammatory markers in baseline as well as in hormone treatment groups; however, circulating IFNγ maintained high levels in OVX+E2 mice, about 4 times higher than in sham mice (Fig. 2E). Furthermore, IL-6 levels were also higher in OVX+E2 mice than in OVX and sham mice (Fig. 2F). We previously reported increased inflammation compromises HDL function29. In line with the persistent high levels of circulating inflammatory markers, anti-atherogenic function of HDL particles from OVX+E2 mice were attenuated compared with sham mice. Notably, the antioxidant capacity of HDLs from OVX+E2 mice was almost completely diminished, even lower than OVX mice (Fig. 2G). Cholesterol efflux is the mechanism by which HDL particles remove excess cholesterol from blood, beginning the process of reverse cholesterol transport where excess lipids are transported to the liver for disposal30. Interestingly, the cholesterol efflux capacity was improved in sham mice during lipid normalization compared with baseline. The cholesterol efflux capacity was lower in OVX+E2 mice than sham mice, but higher than OVX (Fig. 2H). These data suggests that menopausal E2 treatment fails to reduce established atherosclerotic burden in aging Ldlr−/− mice after lipid normalization. Instead, E2 promotes a more inflammatory and vulnerable plaque phenotype, accompanied by increased systemic inflammation and impaired HDL function.
Targeting inflammation improves HDL function and reduces atherosclerosis burden in aging mice during E2 treatment.
We observed failure to confer cardiovascular protection in estrogen-treated ovariectomized mice associated with systemic inflammation. To determine whether persistent inflammation contributes to a lack of cardiovascular benefit, we designed a study to target inflammation directly (Fig. 3A). Similar to our first study, atherosclerosis was established in female Ldlr−/− mice through Western diet feed for 12 weeks beginning at 8 months of age. When switching diet to chow, we performed a bone marrow transplant (BMT) and reconstituted the mice with Ifnγ−/− bone marrow cells. Two weeks after changing diet to chow, mice underwent hormone treatment procedures and were fed a chow diet for an additional 10 weeks. Consistent with the lipid-lowering effects of chow feeding, fasting serum cholesterol and TG concentrations were significantly reduced in all groups compared with Western diet-fed conditions (data not shown). Unlike our first study, fasting cholesterol and triglyceride levels were further reduced in sham and OVX+E2 mice compared with baseline and OVX groups (Fig. 3B–C). These effects likely reflect the contribution of LDLR-expressing cells derived from Ifnγ−/− bone marrow following transplantation, together with the established ability of estrogens to upregulate LDLR expression and enhance circulating lipid clearance. Consistent with this observation, lipid content across lipoprotein fractions was lower in bone marrow recipient mice than in the baseline group, with LDL-associated lipids further reduced in sham and OVX+E2 mice (Fig. 3D–E, Suppl. Fig. 2). Similarly, fasting insulin concentrations were significantly lower in sham and OVX+E2 groups but remained elevated in OVX controls (Fig. 3F). In contrast to our first study, atherosclerotic lesion area was comparably reduced in both sham and OVX+E2 groups relative to baseline, whereas lesion burden remained elevated in OVX mice (Fig. 3G). The reduction in atherosclerosis observed in OVX+E2 mice was accompanied by lower circulating IL-6 and IFNγ levels (Fig. 3H–I), as well as improved HDL antioxidant activity and cholesterol efflux capacity (Fig. 3J–K). These findings suggest that suppression of inflammatory signaling restores the atheroprotective effects of estrogen treatment during lipid normalization.
Figure 3. Suppressing inflammation promotes atherosclerosis reversal after lipid normalization in aging female mice during hormone treatment.
A. Experimental design for suppressing inflammation by Ifnγ−/− bone marrow transplant. B-D: Fasting serum cholesterol (B), triglyceride (C), and insulin (D) concentrations. E-F: Cholesterol (E) and triglyceride (F) lipoprotein distribution was determined by FPLC. G. Quantification of aortic root lesion area. H-I: Circulating IL-6 (H) and IFNγ (I) concentrations. J-K: HDL antioxidant capacity (J) assessed by copper reducing equivalents and HDL cholesterol efflux capacity (K). Data are presented as mean ± SEM. Statistical analyses were performed using one-way ANOVA. b: P<0.05 compared to baseline (BL) conditions; *, P<0.05; ***, P<0.001.
Atheroprotective effects of estrogen treatment may be age dependent.
To determine whether age influences the cardiovascular response to estradiol treatment, we next performed a study without BMT in younger adult mice. In the young mouse model, atherosclerosis was established in 12-week-old Ldlr−/− female mice (Fig. 4A). Following hormone treatment procedures and lipid normalization, mice were sacrificed at approximately 8-months of age, a developmental stage where reproductive capacity is still preserved.
Figure 4. Estrogen treatment reduces plaque burden and HDL function in young Ldlr−/− mice following lipid normalization.
A. Experimental design with younger adult female Ldlr−/− mice at the age with reproductive function maintained. B-C: Fasting serum cholesterol (B) and triglyceride (C) concentrations were similarly improved in Sham and OVX+E2 groups. D-E: Lipoprotein distribution of cholesterol (D) and triglyceride (E) was determined by FPLC. F. Fasting insulin concentrations were similarly reduced in sham and OVX+E2 groups. G. Aortic root lesion area was quantified after Oil Red O staining. H. CD68+ macrophage area within atherosclerotic lesions was quantified after immunofluorescent staining. I. HDL cholesterol efflux capacity. J. HDL antioxidant capacity measured as copper reducing equivalents. Data are presented as mean ± SEM. Statistical analyses were performed using one-way ANOVA. a: P<0.05 compared to Western Diet (WD) feeding conditions; b: P<0.05 compared to baseline (BL) conditions; *, P<0.05; **, P<0.01; ***, P<0.001; ****, P<0.0001.
As observed in aging mice, transition from Western diet to chow diet substantially reduced plasma lipid levels. Fasting cholesterol and TG concentrations were significantly lower in all chow-fed groups compared with Western diet-fed mice (Fig. 4B–C). Sham mice with intact ovaries and E2-treated mice showed further reduced cholesterol levels relative to baseline and OVX groups. Fasting triglyceride concentrations were also further lowered in sham and OVX groups but not in OVX+E2 group (Fig. 4C). Consistent with these findings, FPLC analyses demonstrated marked reductions in VLDL- and LDL-associated cholesterol and triglycerides after lipid normalization, with modest improvements in LDL-cholesterol profiles in sham- and E2-treated mice compared with baseline and OVX animals (Fig. 4D–E, Suppl. Fig. 3). Fasting insulin levels showed a significant reduction in sham and E2-treated mice, a similar improvement as fasting cholesterol (Fig. 4F).
Unlike the findings in aging mice, estradiol treatment promoted regression of established atherosclerotic lesions in young mice. The overall lesion size was not significantly different from baseline; however, sham and E2-treated mice had smaller lesion area compared to ovariectomized mice (Fig. 4G). Notably, the baseline lesion area between young and aged mice was substantially smaller in young mice (Figs. 2B and 4G). This finding underscores a common limitation of atherosclerosis regression models, in which relatively small baseline lesions and modest treatment-induced regression reduce the sensitivity for detecting changes in overall lesion size. Regarding atherosclerotic inflammation, sham and estrogen treatment significantly reduced CD68+ macrophage content compared with baseline conditions as well as OVX treatment (Fig. 4H), indicating improved plaque resolution of inflammation by estrogens in sham and OVX+E2 groups. Importantly, circulating IFNγ and other inflammatory markers were reduced in both sham and OVX+E2 groups (Table 1).
Table 1.
Serum cytokine concentrations from young mouse groups.
| (pg/ml) | Baseline | Sham | OVX | OVX+E2 |
|---|---|---|---|---|
| GM-CSF | 11±1.2 | 7.3±0.9b | 6.6±0.3b | 7.0±0.5b |
| IFNγ | 5.9±1.0 | 3.9±0.2b | 0.2±0.3b, c | 0.2±0.4b, c |
| IL-1B | 4.7±1.1 | 2.8±0.7b | 1.5±0.2b, c | 2.1±0.5b |
| IL-4 | 0.31±0.26 | 0.68±0.16b | 0.16±0.12c | 0.24±0.08c |
| IL-6 | 9.5±1.5 | 8.4±1.3 | 2.4±0.2b, c | 4.1±1.4b, c |
| IL-10 | 2.8±0.5 | 9.3±1.3b | 1.6±0.3c | 2.6±0.6c |
| KC | 320±140 | 362±56 | 656±154b, c | 444±153 |
| MCP-1 | 33±3.4 | 18±3.7b | 30±1.1c | 19±2.3b |
All cytokines were measured by the Vanderbilt Hormone Assay and Analytical Service Core. GM-CSF: Granulocyte-Macrophage Colony-Stimulating Factor; KC: Keratinocyte chemoattractant; MCP-1: Monocyte Chemoattractant Protein-1.
P<0.01 versus baseline
P<0.01 versus the sham group.
Furthermore, HDL function was also strongly influenced by estrogen status. HDL antioxidant capacity was reduced following ovariectomy and restored by estrogen treatment to levels even greater than those observed in OVX mice (Fig. 4I). Similarly, HDL cholesterol efflux capacity was significantly enhanced in both sham and OVX+E2 mice compared with baseline and OVX groups (Fig. 4J).
Collectively, these findings demonstrate that estrogen treatment exerts beneficial metabolic and cardiovascular effects in young Ldlr−/− mice following lipid normalization. In contrast to aging mice, menopause E2 treatment promotes regression of established atherosclerotic lesions, reduces systemic and plaque inflammation, and improves HDL function, indicating that the vascular protective effects of estrogen treatment are preserved in younger animals but become impaired with aging.
Estrogen treatment induces hepatic metabolic and inflammatory dysregulation in aging mice.
To investigate potential sources of inflammation in aging mice, we performed bulk RNA-sequencing on sham and E2-treated mouse liver tissues. Approximately 330 genes were differentially regulated between the two groups (Fig. 5A), a modest but sufficient change to indicate that E2-treatment cannot fully recapitulate the physiological functions of intact ovaries. Among the most strongly induced genes were inflammatory and myeloid-associated transcripts, including Ltf, Ngp, and Elane, suggesting enhanced innate immune activation. Estradiol treatment also increased expression of genes involved in metabolic metabolism and cellular stress responses, including Cyp17a1, Cyp2a4, and Sbk1. Gene ontology analysis revealed that many differentially expressed genes were associated with lipid metabolic pathways (Fig. 5B). Enriched pathways included fatty acid metabolism, long-chain fatty acid metabolism, unsaturated fatty acid metabolism, arachidonic acid metabolism, eicosanoid metabolism, and lipid hydroxylation, indicating substantial remodeling of hepatic lipid handling in response to E2 treatment. Representative genes that are involved in those pathways are listed in Fig. 5C. Consistent with these observations, Gene Set Enrichment Analysis (GSEA) demonstrated strong positive enrichment of multiple immune and inflammatory pathways in estradiol-treated mice (Fig. 5D). Hallmark gene sets associated with inflammatory response, IFNγ response, IFNα response, and IL6-JAK-STAT3 signaling were among the most significantly enriched pathways. Complement activation and epithelial-mesenchymal transition pathways were also increased, supporting a pro-inflammatory and tissue-remodeling phenotype. In contrast, pathways related to cholesterol homeostasis and oxidative phosphorylation were negatively enriched, suggesting impaired mitochondrial energy metabolism and disrupted lipid homeostasis.
Figure 5. Liver transcriptomic profiling of aging Ldlr−/− mice between estrogen treatment and sham procedure.
A. Volcano plot showing differentially expressed genes in livers from aging OVX+E2 mice compared with sham-operated controls. B. Six out of top ten significantly enriched biological processes (GO) are lipid metabolism. C. Selected differentially expressed genes associated with inflammation, lipid metabolism, oxidative stress, and cellular stress responses. D. Four out of twelve significantly enriched pathways (GSEA) are associated with inflammatory signaling.
The dysregulation of hepatic metabolism and inflammation during menopause E2 treatment is age dependent.
We next validated the expression of genes that are involved in the enriched pathways shown in Fig. 5B and Fig. 5D with liver tissues from mice across ages and treatments. In aging Ldlr−/− mice, the expression of IFNγ response genes, Cxcl9 and Stat1, was higher with OVX+E2 treatment than sham treatment (Fig. 6A), consistent with bulk-RNAseq analysis. Notably, expression of these genes was also higher in sham treated mice than OVX treated mice and even higher than the baseline condition (Fig. 6A), indicating that expression of these genes is also estrogen responsive and metabolic context dependent. Expression of additional inflammatory genes has been shown in Supplemental Figure 5. Whereas in aging Ldlr−/− mice with Ifnγ−/−BM transplant, induction of inflammatory transcripts was blunted following transplant (Fig. 6B and Suppl. Fig. 5). In young Ldlr−/− mice, these transcripts were increased in sham and E2-treated mice compared to OVX, supporting the role estrogens play in promoting inflammation; however, the overall pro-inflammatory transcript levels remained comparable or lower to the baseline condition (Fig. 6C).
Figure 6. Aging- and estrogen-dependent regulation of hepatic interferon signaling, lipid metabolism, and stress-response genes.
A-C: Hepatic mRNA expression of interferon-responsive genes in aging mice (A), in aging mice receiving Ifnγ−/− bone marrow transplantation (B), and young mice (C). D-F: Expression of genes associated with lipid metabolism, cellular stress, and fibrosis in female in aging mice (D), in aging mice receiving Ifnγ−/− bone marrow transplantation (E), and in young mice (F). Gene expression was determined normalized to 18s. Data are presented as fold change relative to the corresponding baseline groups. Data are shown as mean ± SEM (n=7–8). Statistical significance was determined by two-way ANOVA with Sidak’s post hoc multiple-comparison tests. *, P<0.05, **, P<0.01, ***, P<0.001, ****, P<0.0001.
A similar pattern is observed in genes associated with hepatic stress and metabolic dysfunction. Plasminogen activator inhibitor −1 (PAI-1, gene name: Serpine1) is a marker of tissue remodeling and fibrosis; Ceramide synthase 6 (Cers6) is a key enzyme involved in ceramide biosynthesis; and fibroblast growth factor 21 (Fgf21) is a hepatokine induced by metabolic and cellular stress. Elevated Cers6 expression suggests increased ceramide synthesis and lipotoxic stress, whereas induction of Fgf21 is consistent with activation of adaptive metabolic and integrated stress response pathways. Previous studies have shown that Serpine1 and Fgf21 are directly regulated by estrogens through ERα binding sites within their promoter regions35,36. There is currently no evidence that Cers6 is a direct ERα target, therefore, its estrogen-responsive expression is likely mediated indirectly through alterations in metabolic pathways downstream of Fgf21, Serpine1, or other estrogen-regulated signaling pathways.
Although the overall pattern of hormone regulation was preserved in both aging and young mice, the expression of Serpine1, Cers6, and Fgf21 was significantly higher in OVX+E2 group than in baseline controls only in aging mice, whereas no such induction was observed in young mice (Fig. 6D, F). These findings suggest that estrogen-regulated lipotoxic and cellular stress responses are exacerbated with aging. Notably, the responsiveness of these genes to hormone treatments was markedly attenuated following transplantation of Ifnγ−/− bone marrow (Fig. 6E). These results indicate that suppression of inflammation through Ifnγ−/−BM transplantation not only reduces hepatic inflammation signaling but also modulates metabolic stress pathways, which is consistent with the altered liver lipid content observed in Ifnγ−/−BM recipient mice (Suppl. Fig. 4) and with our previous findings in similar mouse models27.
Age-associated upregulation of hepatic GPER is accompanied by increased oxidative stress and stress-response in the liver from E2-treated aging mice.
To investigate whether aging alters hepatic estrogen receptor signaling, we quantified the expression of estrogen receptors in livers from aging and young mice following hormone treatments. In aging mice, Esr1 (ERα) remained the dominant estrogen receptor but was significantly reduced compared with young mice (Fig. 7A–B). In contrast, Gper1 (GPER) expression was markedly elevated in aging mice and further increased by E2 treatment, whereas expression remained low in young mice regardless of hormone status (Fig. 7A, C). Esr2 (ERβ) expression was detectable only at low levels and showed minimal regulation by hormone treatment in aging mice and was undetectable with qPCR in young mice (Fig. 7A). These findings demonstrate age-dependent estrogen receptor remodeling characterized by loss of ERα dominance and relative enrichment of GPER signaling.
Figure 7. Aging-associated estrogen receptor remodeling and oxidative stress signaling in the liver.
A. Hepatic mRNA expression of Esr1, Esr2, and Gper1 in aging mice. B-I: Comparison of hepatic expression of Esr1 (B), Gper1 (C), Nox4 (D), Nfe2l2 (E), Nox1 (F), Mycl1 (G), Cdk1(H), and Eda2r (I) between aging and young mice. mRNAs of Esr2 and Nox1 were not detectable with qPCR in young mice. Gene expression was determined normalized to 18s. Data are presented as fold change relative to the corresponding sham conditions in aging mice for B-I. For panel A, data represented as fold change relative to Esr1 from aging sham mice. Data are shown as mean ± SEM (n=7–8). Statistical significance was determined by two-way ANOVA with Sidak’s post hoc multiple-comparison tests. **, P<0.01, ***, P<0.001, ****, P<0.0001.
Because constitutive GPER activation has been linked to NOX1-dependent reactive oxygen species production, we next assessed hepatic oxidative stress pathways. Expression of Nox4 was significantly increased in aging OVX+E2 mice compared with OVX controls and remained substantially higher than in young mice (Fig. 7D). These results are in line with previous observations that activation of ERα pathways attenuate NOX4-mediated reactive oxygen species (ROS) production in young adult mice37. Similarly, Nfe2l2 (Nrf2), a master regulator of antioxidant defense, was elevated in aging sham and OVX+E2 mice, suggesting activation of compensatory antioxidant responses in the setting of increased oxidative stress (Fig. 7E). Notably, Nox1 expression was detectable only in aging sham and OVX+E2 mice and was undetectable in aging-OVX and all young groups (Fig. 7F), supporting activation of a GPER-NOX1 oxidative stress axis specifically in aging livers.
Consistent with increased oxidative stress, aging OVX+E2 mice exhibited marked induction of cellular stress-response genes. Gene expression of Mycl (bHLH transcription factor), Cdk1 (Cyclin-dependent kinase 1), and Eda2r (Ectodysplasin A2 receptor) was significantly increased in aging OVX+E2 mice compared with both sham and OVX controls, whereas expression remained low and largely unresponsive to hormone treatment in young mice (Fig. 7G–I). Cdk1 upregulation is consistent with activation of DNA damage repair pathways, while Eda2r has been associated with cellular senescence and stress signaling. Together, these findings suggest that aging and E2-treatment synergistically promote hepatic oxidative stress and cellular stress responses, potentially through age-dependent remodeling of estrogen receptor signaling toward increased GPER activity. This mechanism may contribute to the heightened inflammatory state and impaired cardiovascular benefits of hormone therapy observed in aging mice.
Discussion
The present study investigated the mechanisms underlying the discordance between the favorable metabolic effects of menopausal hormone therapy and its inconsistent cardiovascular outcomes. Using mouse models of established atherosclerosis following surgical menopause, we demonstrate that although estrogen treatment consistently improves metabolic parameters during lipid normalization, its cardiovascular benefits are profoundly influenced by age. In aging mice, E2 treatment failed to reduce atherosclerotic burden despite improved lipid metabolism and insulin homeostasis. Instead, E2 promoted persistent systemic inflammation, impaired HDL function, increased plaque inflammation and vulnerability, and activated hepatic inflammatory and oxidative stress pathways. In contrast, young mice retained both the metabolic and cardiovascular benefits of estrogen treatment. Mechanistically, aging was associated with increased GPER expression, accompanied by increased NOX1 expression, oxidative stress and cellular stress signaling. Importantly, suppression of inflammation through Ifnγ−/− bone marrow transplantation restored HDL function and reduced atherosclerosis during E2 treatment, highlighting inflammation as a critical determinant of residual ASCVD risk during hormone therapy.
The age-dependent effects observed in the present study closely parallel findings from major clinical trials of menopausal hormone therapy. Numerous studies, including HERS, WHI, ERA, WELL-HART, and WAVE, demonstrated that although hormone therapy improves several traditional cardiovascular risk factors, it fails to consistently reduce cardiovascular events in older women with established atherosclerosis. In contrast, the ELITE trial demonstrated that women initiating hormone therapy within six years of menopause experienced slower progression of carotid intima-media thickness, whereas no benefit was observed in women initiating therapy more than ten years after menopause22. Our aging mouse model recapitulates these clinical observations. Both young and aging mice exhibited improved metabolic parameters following E2 treatment; however, only young mice demonstrated reduced plaque inflammation, improved HDL function, and regression of atherosclerotic lesions. These findings suggest that the diminished cardiovascular efficacy of hormone therapy is not attributable to loss of estrogen responsiveness, but rather to age-dependent alterations in tissue responses to estrogen. Thus, aging fundamentally changes the biological consequences of estrogen signaling, uncoupling its metabolic benefits from cardiovascular protection.
One of the most important findings of the present study is the identification of age-associated remodeling of hepatic estrogen receptor signaling. In young animals, hepatic ERα remained the dominant estrogen receptor, consistent with previous studies demonstrating ERα-mediated regulation of lipid metabolism, insulin sensitivity, and mitochondrial function. The hepatic ERα dominancy in young mice also contributed to pronounced responsiveness to hormone treatments in liver lipid contents, given that estrogens limit liver fat accumulation by promoting fatty acid oxidation via hepatic ERα pathways14,30. In contrast, aging markedly reduced ERα expression while increasing hepatic GPER expression, suggesting a shift in estrogen signaling toward noncanonical pathways.
This age-associated receptor remodeling may contribute to activation of oxidative stress and DNA damage signaling in menopausal E2-treated aging mice. Constitutive activation of GPER has been shown to stimulate NOX1 activity and reactive oxygen species (ROS) production38. Consistent with this mechanism, Nox1 mRNA was induced exclusively in aging sham- and E2-treated mice but was undetectable in aging-OVX and all young groups, suggesting that aging and estrogen signaling cooperate to activate the GPER-NOX1 axis. Interestingly, Nox4 expression was generally higher in aging than in young mice but was reduced by E2 treatment compared with aging sham mice. Previous studies have reported that estrogens suppress Nox4 expression, likely through ERα signaling39. Despite this reduction in Nox4, aging E2-treated mice exhibited increased expression of multiple cellular stress-response genes, including Cdk1, Mycl, and Eda2r, together with induction of the antioxidant transcription factor Nrf2, indicating activation of compensatory antioxidant defense pathways in response to elevated oxidative stress. Collectively, these findings suggest that aging establishes a hepatic environment characterized by chronic oxidative stress, in which E2 treatment further amplifies ROS production through GPER-NOX1 signaling, leading to DNA damage responses and inflammatory activation.
Metabolic responses to estrogen remain preserved but are attenuated with aging. Despite the profound differences in cardiovascular outcomes, estrogen retained significant metabolic activity in both age groups. Lipid normalization substantially reduced plasma cholesterol and triglycerides in all mice, and E2 further improved triglyceride metabolism in aging animals while reducing fasting cholesterol and improving lipoprotein profiles in young mice. Likewise, hepatic lipid accumulation remained responsive to estrogen in both age groups. However, the magnitude of these metabolic responses was consistently greater in young mice. Young animals exhibited larger reductions in circulating lipids, greater improvements in lipoprotein composition, and more pronounced reductions in hepatic lipid accumulation by E2 treatment than aging mice. These findings suggest that hepatic responsiveness to estrogen progressively declines with aging. The marked reduction in hepatic ERα expression likely contributes to this diminished metabolic responsiveness, whereas increased GPER expression promotes oxidative stress and inflammatory signaling. In addition, hepatic ERβ expression was increased with aging. Although ERα is well recognized for its role in regulating lipid metabolism and glucose homeostasis, its anti-inflammatory and antioxidant functions in the liver remain less well defined. In contrast, ERβ exhibits a distinct cell type-specific distribution within the liver40. Whereas ERα is predominantly expressed in hepatocytes, ERβ is enriched in hepatic stellate cells, the principal fibrogenic cell population41. Previous studies have demonstrated that the anti-fibrotic actions of estrogen are mediated primarily through ERβ rather than ERα or GPER41,42. Therefore, the increased ERβ expression observed in aging mice may represent an adaptive response to age-associated oxidative stress and tissue remodeling, potentially reflecting activation or expansion of hepatic stellate cells. Although this hypothesis requires direct experimental validation, it is consistent with the increased expression of stress-response and tissue remodeling genes observed in our study. Collectively, these findings suggest that aging fundamentally remodels hepatic estrogen receptor signaling, shifting estrogen responses away from efficient metabolic regulation toward oxidative stress, inflammation, and tissue remodeling.
Our findings show that young mice preserve coordinated metabolic and cardiovascular protection. Unlike aging mice, young animals maintained coordinated improvements in both metabolic and cardiovascular outcomes during estrogen treatment. In addition to improved plasma lipid profiles, young mice demonstrated reduced circulating inflammatory cytokines, improved HDL antioxidant and cholesterol efflux capacity, decreased macrophage accumulation within plaques, and regression of established atherosclerotic lesions. Interestingly, several inflammatory genes remained estrogen responsive in young mice. However, their expression remained comparable to or below baseline levels and was not associated with increased systemic inflammation or plaque progression. These findings suggest that estrogen-induced inflammatory signaling may represent a normal physiological response that is effectively resolved in young animals but becomes maladaptive in aging tissues. Whether this difference reflects greater immune resilience, enhanced antioxidant capacity, preserved mitochondrial function, or improved resolution of inflammation remains unknown. Future studies employing single-cell transcriptomics and cell type-specific genetic models will be required to identify the hepatic and immune cell populations responsible for these age-dependent responses.
Inhibition of inflammation improves cardiovascular outcomes but also alters hepatic lipid metabolism. Our bone marrow transplantation experiments demonstrate that inflammation plays a causal role in limiting the cardiovascular benefits of estrogen therapy. Interestingly, suppression of inflammation also altered hepatic metabolic pathways. Although inflammatory and stress-response genes, including Fgf21 and Serpine1, were substantially reduced following transplantation, expression of Cers6 remained elevated. Based on our previous studies using liver-specific SHP knockout mice receiving Ifnγ−/− bone marrow transplantation27, reduced inflammatory signaling was associated with decreased hepatic lipid utilization. We speculate that diminished lipid metabolism lowers metabolic stress, thereby reducing induction of adaptive stress mediators such as FGF21. However, decreased lipid turnover may also promote intracellular accumulation of lipid substrates that can be diverted toward ceramide synthesis, resulting in persistent upregulation of Cers6. These observations suggest that inflammatory signaling and hepatic lipid metabolism are tightly interconnected and may not always change in parallel. Future studies are needed to determine how inflammatory pathways coordinate hepatic lipid utilization, ceramide biosynthesis, and metabolic stress during hormone therapy.
In summary, the present study demonstrates that aging fundamentally alters the biological response to estrogen therapy. Rather than uniformly protecting against cardiovascular disease, estrogen promotes hepatic oxidative stress and inflammation in aging mice through age-associated estrogen receptor remodeling characterized by reduced ERα dominance and increased GPER signaling. Persistent inflammation impairs HDL function and limits regression of established atherosclerosis despite preserved improvements in systemic metabolism. Suppression of inflammation restores the cardiovascular benefits of estrogen, supporting inflammation-driven, non-lipid mechanisms as major contributors to residual ASCVD risk during hormone therapy. These findings provide a mechanistic insight into the age-dependent loss of cardiovascular benefits of hormone therapy and identify hepatic estrogen receptor remodeling, oxidative stress, and inflammatory signaling as promising therapeutic targets for improving cardiovascular outcomes in postmenopausal women receiving hormone therapy.
Supplementary Material
ACKNOWLEDGMENTS
The authors acknowledge the helpful assistance of the Vanderbilt Hormone Assay Core (supported by NIH grant DK020593 to the Vanderbilt Diabetes Research Center). We also acknowledge excellent support of the Vanderbilt Mouse Metabolic Phenotyping Core (supported by NIH grant DK59637). We additionally recognize the support of the Vanderbilt Diabetes Research Center (P30DK020593) and the Vanderbilt Digestive Disease Research Center (P30DK058404).
FUNDING SOURCES
The NIA (K01AG077038) provided support to LZ. The Department of Veterans Affairs (BX002223) and NIH (R01DK109102, R01HL144846) provided support to JMS. NIH (R01DK109102, R01HL144846) also provided support to YW and YX. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Footnotes
DECLARATION OF COMPETING INTEREST: None
References:
- 1.Wilmot K.A., O'Flaherty M., Capewell S., Ford E.S., and Vaccarino V. (2015). Coronary Heart Disease Mortality Declines in the United States From 1979 Through 2011: Evidence for Stagnation in Young Adults, Especially Women. Circulation 132, 997–1002. 10.1161/CIRCULATIONAHA.115.015293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Roger V.L., Go A.S., Lloyd-Jones D.M., Adams R.J., Berry J.D., Brown T.M., Carnethon M.R., Dai S., de Simone G., Ford E.S., et al. (2011). Heart disease and stroke statistics−-2011 update: a report from the American Heart Association. Circulation 123, e18–e209. 10.1161/CIR.0b013e3182009701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Yazdani S., Sharbatdaran M., Abedi Samakoosh M., Bouzari Z., and Masoudi Z. (2014). Glucose Tolerance and lipid profile changes after surgical menopause. Caspian J Intern Med 5, 114–117. [PMC free article] [PubMed] [Google Scholar]
- 4.Maffei L., Murata Y., Rochira V., Tubert G., Aranda C., Vazquez M., Clyne C.D., Davis S., Simpson E.R., and Carani C. (2004). Dysmetabolic syndrome in a man with a novel mutation of the aromatase gene: effects of testosterone, alendronate, and estradiol treatment. J Clin Endocrinol Metab 89, 61–70. 10.1210/jc.2003-030313. [DOI] [PubMed] [Google Scholar]
- 5.Cooke P.S., Nanjappa M.K., Ko C., Prins G.S., and Hess R.A. (2017). Estrogens in Male Physiology. Physiol Rev 97, 995–1043. 10.1152/physrev.00018.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Rochira V., Madeo B., Zirilli L., Caffagni G., Maffei L., and Carani C. (2007). Oestradiol replacement treatment and glucose homeostasis in two men with congenital aromatase deficiency: evidence for a role of oestradiol and sex steroids imbalance on insulin sensitivity in men. Diabet Med 24, 1491–1495. 10.1111/j.1464-5491.2007.02304.x. [DOI] [PubMed] [Google Scholar]
- 7.Gibb F.W., Homer N.Z., Faqehi A.M., Upreti R., Livingstone D.E., McInnes K.J., Andrew R., and Walker B.R. (2016). Aromatase Inhibition Reduces Insulin Sensitivity in Healthy Men. J Clin Endocrinol Metab 101, 2040–2046. 10.1210/jc.2015-4146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.KUMAGAI S., HOLMÄNG A., and BJÖRNTORP P. (1993). The effects of oestrogen and progesterone on insulin sensitivity in female rats. Acta Physiologica Scandinavica 149, 91–97. 10.1111/j.1748-1716.1993.tb09596.x. [DOI] [PubMed] [Google Scholar]
- 9.Wagner J.D., Thomas M.J., Williams J.K., Zhang L., Greaves K.A., and Cefalu W.T. (1998). Insulin Sensitivity and Cardiovascular Risk Factors in Ovariectomized Monkeys with Estradiol Alone or Combined with Nomegestrol Acetate. The Journal of Clinical Endocrinology & Metabolism 83, 896–901. 10.1210/jcem.83.3.4628. [DOI] [PubMed] [Google Scholar]
- 10.Yan H., Yang W., Zhou F., Li X., Pan Q., Shen Z., Han G., Newell-Fugate A., Tian Y., Majeti R., et al. (2019). Estrogen Improves Insulin Sensitivity and Suppresses Gluconeogenesis via the Transcription Factor Foxo1. Diabetes 68, 291–304. 10.2337/db18-0638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.De Paoli M., Zakharia A., and Werstuck G.H. (2021). The Role of Estrogen in Insulin Resistance: A Review of Clinical and Preclinical Data. Am J Pathol 191, 1490–1498. 10.1016/j.ajpath.2021.05.011. [DOI] [PubMed] [Google Scholar]
- 12.Ventura-Clapier R., Piquereau J., Veksler V., and Garnier A. (2019). Estrogens, Estrogen Receptors Effects on Cardiac and Skeletal Muscle Mitochondria. Frontiers in Endocrinology Volume 10 – 2019. 10.3389/fendo.2019.00557. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lizcano F. (2022). Roles of estrogens, estrogen-like compounds, and endocrine disruptors in adipocytes. Front Endocrinol (Lausanne) 13, 921504. 10.3389/fendo.2022.921504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Zhu L., Brown W.C., Cai Q., Krust A., Chambon P., McGuinness O.P., and Stafford J.M. (2013). Estrogen treatment after ovariectomy protects against fatty liver and may improve pathway-selective insulin resistance. Diabetes 62, 424–434. 10.2337/db11-1718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zhu L., Martinez M.N., Emfinger C.H., Palmisano B.T., and Stafford J.M. (2014). Estrogen signaling prevents diet-induced hepatic insulin resistance in male mice with obesity. Am J Physiol Endocrinol Metab 306, E1188–1197. 10.1152/ajpendo.00579.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Riant E., Waget A.l., Cogo H., Arnal J.-F.o., Burcelin R.m., and Gourdy P. (2009). Estrogens Protect against High-Fat Diet-Induced Insulin Resistance and Glucose Intolerance in Mice. Endocrinology 150, 2109–2117. 10.1210/en.2008-0971. [DOI] [PubMed] [Google Scholar]
- 17.Li T., Jiang N.S., Kaskey J., Schnatz P.F., and Nudy M. (2025). Hormone therapy and insulin resistance in non-diabetic postmenopausal women: a systematic review and meta-analysis. Climacteric 28, 673–681. 10.1080/13697137.2025.2509844. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Stephen Hulley M.D.G., MD; Trudy Bush PhD; Curt Furberg MD, PhD;, and David Herrington M.B.R., MD; Eric Vittinghoff PhD (1998). Randomized Trial of Estrogen Plus Progestin for Secondary Prevention of Coronary Heart Disease in Postmenopausal Women. JAMA 280 (7), 605–613. [DOI] [PubMed] [Google Scholar]
- 19.Grady D., Herrington D., Bittner V., Blumenthal R., Davidson M., Hlatky M., Hsia J., Hulley S., Herd A., Khan S., et al. (2002). Cardiovascular disease outcomes during 6.8 years of hormone therapy: Heart and Estrogen/progestin Replacement Study follow-up (HERS II). JAMA 288, 49–57. 10.1001/jama.288.1.49. [DOI] [PubMed] [Google Scholar]
- 20.JoAnn E. Manson M.D., Dr.P.H., Judith Hsia M.D., Karen C. Johnson M.D., M.P.H., Jacques E. Rossouw M.D.,, Annlouise R. Assaf P.D., Norman L. Lasser M.D., Ph.D., Maurizio Trevisan M.D., Henry R. Black M.D.,, Susan R. Heckbert M.D., Ph.D., Robert Detrano M.D., Ph.D., Ora L. Strickland Ph.D., Nathan D. Wong Ph.D.,, and John R. Crouse M.D., Evan Stein M.D., and Mary Cushman M.D. (2003). Estrogen plus Progestin and the Risk of Coronary Heart Disease. New England Journal of Medicine 349 (6), 523–534. [DOI] [PubMed] [Google Scholar]
- 21.Hodis H.N., and Mack W.J. (2011). A “window of opportunity:” the reduction of coronary heart disease and total mortality with menopausal therapies is age- and time-dependent. Brain Res 1379, 244–252. 10.1016/j.brainres.2010.10.076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Hodis H.N., Mack W.J., Henderson V.W., Shoupe D., Budoff M.J., Hwang-Levine J., Li Y., Feng M., Dustin L., Kono N., et al. (2016). Vascular Effects of Early versus Late Postmenopausal Treatment with Estradiol. N Engl J Med 374, 1221–1231. 10.1056/NEJMoa1505241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Herrington D.M., Reboussin D.M., Brosnihan K.B., Sharp P.C., Shumaker S.A., Snyder T.E., Furberg C.D., Kowalchuk G.J., Stuckey T.D., Rogers W.J., et al. (2000). Effects of estrogen replacement on the progression of coronary-artery atherosclerosis. N Engl J Med 343, 522–529. 10.1056/NEJM200008243430801. [DOI] [PubMed] [Google Scholar]
- 24.Hodis H.N., Mack W.J., Azen S.P., Lobo R.A., Shoupe D., Mahrer P.R., Faxon D.P., Cashin-Hemphill L., Sanmarco M.E., French W.J., et al. (2003). Hormone Therapy and the Progression of Coronary-Artery Atherosclerosis in Postmenopausal Women. New England Journal of Medicine 349, 535–545. doi: 10.1056/NEJMoa030830. [DOI] [PubMed] [Google Scholar]
- 25.Hsia J., Alderman E.L., Verter J.I., Rogers W.J., Thompson P., Howard B.V., Cobb F.R., Ouyang P., Tardif J.C., Higginson L., et al. (2002). Women's Angiographic Vitamin and Estrogen trial:: design and methods. Controlled Clinical Trials 23, 708–727. 10.1016/S0197-2456(02)00237-4. [DOI] [PubMed] [Google Scholar]
- 26.Mueller P.A., Zhu L., Tavori H., Huynh K., Giunzioni I., Stafford J.M., Linton M.F., and Fazio S. (2018). Deletion of Macrophage Low-Density Lipoprotein Receptor-Related Protein 1 (LRP1) Accelerates Atherosclerosis Regression and Increases C-C Chemokine Receptor Type 7 (CCR7) Expression in Plaque Macrophages. Circulation 138, 1850–1863. 10.1161/CIRCULATIONAHA.117.031702. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Zhu L., Litts B., Wang Y., Rein J.A., Atzrodt C.L., Chinnarasu S., An J., Thorson A.S., Xu Y., and Stafford J.M. (2024). Ablation of IFNγ in myeloid cells suppresses liver inflammation and fibrogenesis in mice with hepatic small heterodimer partner (SHP) deletion. Mol Metab 83, 101932. 10.1016/j.molmet.2024.101932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Palmisano B.T., Le T.D., Zhu L., Lee Y.K., and Stafford J.M. (2016). Cholesteryl ester transfer protein alters liver and plasma triglyceride metabolism through two liver networks in female mice. J Lipid Res 57, 1541–1551. 10.1194/jlr.M069013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Zhu L., Luu T., Emfinger C.H., Parks B.A., Shi J., Trefts E., Zeng F., Kuklenyik Z., Harris R.C., Wasserman D.H., et al. (2018). CETP Inhibition Improves HDL Function but Leads to Fatty Liver and Insulin Resistance in CETP-Expressing Transgenic Mice on a High-Fat Diet. Diabetes 67, 2494–2506. 10.2337/db18-0474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Zhu L., Shi J., Luu T.N., Neuman J.C., Trefts E., Yu S., Palmisano B.T., Wasserman D.H., Linton M.F., and Stafford J.M. (2018). Hepatocyte estrogen receptor alpha mediates estrogen action to promote reverse cholesterol transport during Western-type diet feeding. Mol Metab 8, 106–116. 10.1016/j.molmet.2017.12.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Dunyaporn Trachootham W.L., Ogasawara Marcia A, Rivera-Del Valle Nilsa, Huang Peng (2008). Redox Regulation of Cell Survival. Antioxid Redox Signal 10 (8), 1343–1374. doi: 10.1089/ars.2007.1957. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Zhu L., Giunzioni I., Tavori H., Covarrubias R., Ding L., Zhang Y., Ormseth M., Major A.S., Stafford J.M., Linton M.F., and Fazio S. (2016). Loss of Macrophage Low-Density Lipoprotein Receptor-Related Protein 1 Confers Resistance to the Antiatherogenic Effects of Tumor Necrosis Factor-alpha Inhibition. Arterioscler Thromb Vasc Biol 36, 1483–1495. 10.1161/ATVBAHA.116.307736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Dobin A., Davis C.A., Schlesinger F., Drenkow J., Zaleski C., Jha S., Batut P., Chaisson M., and Gingeras T.R. (2013). STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21. 10.1093/bioinformatics/bts635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Liao Y., Smyth G.K., and Shi W. (2014). featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 30, 923–930. 10.1093/bioinformatics/btt656. [DOI] [PubMed] [Google Scholar]
- 35.Smith L.H., Coats S.R., Qin H., Petrie M.S., Covington J.W., Su M., Eren M., and Vaughan D.E. (2004). Differential and Opposing Regulation of PAI-1 Promoter Activity by Estrogen Receptor α and Estrogen Receptor β in Endothelial Cells. Circulation Research 95, 269–275. 10.1161/01.RES.0000136521.70093.f1. [DOI] [PubMed] [Google Scholar]
- 36.Allard C., Bonnet F., Xu B., Coons L., Albarado D., Hill C., Fagherazzi G., Korach K.S., Levin E.R., Lefante J., et al. (2019). Activation of hepatic estrogen receptor-α increases energy expenditure by stimulating the production of fibroblast growth factor 21 in female mice. Mol Metab 22, 62–70. 10.1016/j.molmet.2019.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Costa T.J., Fontes M.T., Barros P.R., Hope M.C., Webb R.C., Wenceslau C.F., Enos R.T., and McCarthy C.G. (2025). Overexpression of adipose tissue ERα enhances PVAT anticontractility via NOX4-derived H(2)O(2) and is protective against high-fat diet-induced dysfunction. Am J Physiol Heart Circ Physiol 328, H1065–h1072. 10.1152/ajpheart.00180.2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Meyer M.R., and Barton M. (2018). GPER blockers as Nox downregulators: A new drug class to target chronic non-communicable diseases. The Journal of Steroid Biochemistry and Molecular Biology 176, 82–87. 10.1016/j.jsbmb.2017.03.019. [DOI] [PubMed] [Google Scholar]
- 39.Ronis M.J., Blackburn M.L., Shankar K., Ferguson M., Cleves M.A., and Badger T.M. (2019). Estradiol and NADPH oxidase crosstalk regulates responses to high fat feeding in female mice. Exp Biol Med (Maywood) 244, 834–845. 10.1177/1535370219853563. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Hirata S., Shoda T., Kato J., and Hoshi K. (2001). The multiple untranslated first exons system of the human estrogen receptor beta (ERβ) gene. The Journal of Steroid Biochemistry and Molecular Biology 78, 33–40. 10.1016/S0960-0760(01)00071-1. [DOI] [PubMed] [Google Scholar]
- 41.Zhou Y., Shimizu I., Lu G., Itonaga M., Okamura Y., Shono M., Honda H., Inoue S., Muramatsu M., and Ito S. (2001). Hepatic Stellate Cells Contain the Functional Estrogen Receptor β but Not the Estrogen Receptor α in Male and Female Rats. Biochemical and biophysical research communications 286, 1059–1065. 10.1006/bbrc.2001.5479. [DOI] [PubMed] [Google Scholar]
- 42.Wang Y., Wu C., Zhou J., Fang H., and Wang J. (2022). Overexpression of estrogen receptor β inhibits cellular functions of human hepatic stellate cells and promotes the anti-fibrosis effect of calycosin via inhibiting STAT3 phosphorylation. BMC Pharmacol Toxicol 23, 77. 10.1186/s40360-022-00617-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
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