Effects of hormone replacement therapy on magnetic resonance imaging of brain parenchyma hyperintensities in postmenopausal women

Abstract

Aim:

To apply 3.0 magnetic resonance imaging (MRI) to study the effects of long-term, low dose hormone replacement therapy (HRT) on the brain parenchyma of postmenopausal women.

Methods:

A total of 155 postmenopausal healthy female medical staff members from Peking Union Medical College Hospital were enrolled. The HRT group was composed of 71 subjects who had been given a low dose of HRT for over 4 years, while 84 women who had never been given HRT were enrolled in the control group. The Mini-Mental State Examination (MMSE) was used to evaluate mental state, and an Enzyme-Linked ImmunoSorbent Assay (ELISA) was used to detect plasma levels of sex hormones. In addition, all participants were subjected to an MRI, including axial T2 weighted imaging (T2WI), fluid-attenuated inversion recovery (FLAIR), T1 weighted imaging (T1WI, oblique coronal, vertical to the hippocampus, slice thickness 3 mm without gaps), and a 3D image of the whole brain.

Results:

The ELISA showed that the plasma level of estradiol in the HRT group was significantly higher than that in the control group (P<0.05). No differences were observed in the MMSE between the two groups. In participants older than 70 years of age, the number of deep white matter hyperintensities (DWMHs) in the control group was significantly higher than that in the HRT group (P=0.0013); however, in other age subgroups, no statistical differences were observed. Finally, no significant difference in periventricular hyperintensity (PVH) between the two groups was observed.

Conclusion:

We found that a high plasma level of estradiol in postmenopausal women receiving long-term HRT was correlated with the survival of brain parenchyma.

Introduction

Considerable evidence suggests that in both animals and humans, estrogen used as hormone replacement therapy (HRT) can have positive effects on cognitive performance in aging. There are, however, contradictory opinions regarding HRT. The Women's Health Initiative Memory Study project, completed in 2004, came to the conclusion that estrogen therapy alone did not reduce dementia, but instead increased the risk¹. It should be noted that the main differences between the current and the latter project lie in the administrated dosage (less than recommended dosage vs routine dosage) and the age of HRT initiation in the subjects (mean 54.9 years vs 65 years). While numerous studies have examined the effects of HRT on cognitive function, few studies have focused on the influence of HRT on brain integrity in aging². Eberling et al found that postmenopausal women using HRT had a larger right hippocampus compared with non-users³. In addition, there is evidence from a longitudinal study of HRT-related sparing of age-related decline in cortical regions⁴. Moreover, it has been shown that women using HRT showed a selective sparing of brain tissue decline with aging as a function of treatment duration, with gray matter being preserved in the prefrontal, parietal, and temporal regions and white matter in the medial temporal lobe regions⁵. Several volumetric studies, however, have not detected differences between HRT users and non-users in various brain regions, such as the frontal, parietal, prefrontal, and temporal regions (including the hippocampus)^{6, 7} or in intracranial volume (ICV)⁸. One study found larger right hippocampal volumes in HRT users, but no differences in whole hippocampal volumes⁹. Another study found that previous and current HRT users had more gray matter in the frontal, prefrontal, and temporal regions, more white matter in the medial temporal lobe, and less cerebrospinal fluid overall⁵.

In summary, structural magnetic resonance imaging (MRI) studies have presented mixed results, showing larger and smaller brain volumes, and no or negative effects on white matter. Because of these inconsistencies, the effects of HRT on the human brain require further investigation. Using MRI in postmenopausal women, we have reported that changes in hippocampal volume are related to sharp decreases in learning and memory function as age progresses, findings that are consistent with a study showing that hippocampal atrophy in elderly men was significantly related to aging¹⁰. We have also reported that long-term, low dose HRT can slow this trend, especially for women 65 and older¹¹. Most studies currently adopt the intelligence evaluation table in order to evaluate the effects of HRT on postmenopausal women, while few focus on the transformation of brain parenchyma. In this study, we employ MRI to further evaluate the effects of HRT on deep white matter hyperintensity (DWNH) and periventricular hyperintensity (PVH) in the brains of postmenopausal women.

Materials and methods

Study population and groups

A total of 182 postmenopausal female medical staff members from the Peking Union Medical College Hospital (PUMC, Beijing, China) participated in this study. The HRT group was composed of 83 women with an average age of 66.3 years (range 51–85 years). They had all received HRT (half or one quarter of the dosage) for at least 4 years after menopause initiation. The control group was composed of 99 age-matched women with an average age of 67.1 years (range 51–87 years). The women in the control group had never received HRT. The mean age of menopause onset in the HRT group was 48.7 years, and the mean age of HRT initiation was 54.9 years. All participants had MMSE scores above 26, indicating that they had normal personalities and emotions. A threshold of 26 was chosen according to the MMSE score investigation performed on the Beijing population, which was obtained using the same normalized method¹². None of the participants ever had diseases such as hemiplegia or Alzheimer's disease or a history of other nervous system disorders or symptoms. The subjects were divided into three subgroups according to their age: 50–59, 60−69, and 70−87 years. The study was approved by the institutional review board of the Ethics Committee of PUMCH, and all participants gave written informed consent.

Administrated hormones

The hormones used included estradiol valerate (Progynova, recommended dosage 1.0 mg/d), conjugated equine estrogen (Premarin, 0.3 mg/d), tibolone (Livial, 2.5 mg/d) and medroxyprogesterone acetate (Progevera, 2.0 mg/d). Among the 83 HRT subjects, 9 used half of the recommended dosage, 52 used one quarter of the dosage and 22 used less than one quarter of the dosage.

Global cognitive function evaluation

We used the Mini-Mental State Examination (MMSE) as a general index of cognition¹³. The MMSE is a list of 30 questions and tasks covering orientation to time and place, word registration and recall, attention and calculation, language and visual construction. The MMSE is one of the tests recommended by the National Institute of Neurological Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association to document the diagnosis of Alzheimer's disease¹⁴.

A total of 11 questions from the MMSE represent four intelligence-relating subjects: (1) cognition (orientation to place and time, calculation ability), composed of the score sum of questions 1, 2, and 4; (2) memory (retention and recall memory), composed of the score sum of questions 3 and 5; (3) language (naming, retelling, read, comprehension, spontaneous writing), composed of the score sum of questions 6, 7, 9, and 10; and (4) executive function and visuo-constructional abilities (copy graphics), composed of the score sum of questions 8 and 11.

Blood sample preparation and measurements

A total of 10 mL of fasting blood was collected from each participant by vein puncture. Samples were placed into prepared tubes containing EDTA-K₂ and stored at 4 °C for 30 min. Subsequently, the blood samples were centrifuged at 4 °C, 1000×g for 15 min and the plasma were collected for assay. The plasma levels of estradiol (E₂), progesterone (P) and testosterone (T) were analyzed by Enzyme-Linked ImmunoSorbent Assay (ELISA) (Model 550, Bio-Rad, Hercules, CA, USA). Blood lipids, glucose and pressure were also measured to exclude ordinary risk factors for white matter lesions.

Magnetic resonance imaging

Magnetic resonance imaging (GE Sigma 3.0T VHIEXITE3, General Electric Medical Systems, Milwaukee, WI, USA) was performed on each subject. The scanning protocol included axial T2 weighted imaging (T2WI), fluid-attenuated inversion recovery (FLAIR), T1 weighted imaging (T1WI, oblique coronal, vertical to the hippocampus, slice thickness 3 mm without gaps) and a 3D image of the whole brain. DWMH and PVH were chosen as study indices and were evaluated using Fazekas' visual rating scale (Figures 1 and 2). All images were analyzed collaboratively by two experienced neuroradiologists.

Figure 1.

DWMH imaging grading.

Figure 2.

PVH imaging grading.

According to Fazekas' rating scale, the extent of PVH was graded as follows: grade 0, absent; grade 1, “caps” or pencil-thin lining; grade 2, smooth “halo” or grade 3, irregular PVH extending into the deep white matter. The extent of DWMH was rated as follows: grade 0, absent; grade 1, punctate foci (number of foci <5); grade 2 (number of foci >5 or the diameter of a single foci was >5 mm); or grade 3, large confluent areas¹⁵.

Data analysis

All data obtained in the study were analyzed using SPSS 13.0 for Windows (SPSS, Chicago, IL, USA). The t test was used to compare values of normal distribution in two groups and non-parametric tests were used to analyze the data of non-normal distribution in two groups. Data from the MRI were analyzed by a chi-square test. The grades of DWMH and PVH were combined to yield a score of 1 to 5:1 indicating only slight injury and 5 indicating severe injury. For example, for subjects with “0” and “1” for DWMH and PVH, respectively, the grades were combined and the injury was considered mild. Similarly, in subjects with grades of “2” and “3” for DWNH and PVH, respectively, the grades were combined for a total score of 5, representing severe injury. P<0.05 was considered statistically significant between the two groups.

Results

Initiation years and duration of HRT in subjects

Approximately 66% of postmenopausal women began their HRT between 50 to 59 years old, and 26% women had received HRT between 60 to 64 years old (Figure 3). In other words, approximately 91% of postmenopausal women turned to HRT. Distribution of HRT duration is illustrated in Figure 4. The HRT duration of approximately 49% of postmenopausal women was between 10 and 14 years. The duration of treatment in 15% of the women fall in the range of 15 to 19 years. Taken together, approximately 75% of women received HRT for more than 10 years.

Figure 3.

Distribution of the ages of subjects on HRT initiation.

Figure 4.

Duration and distribution of HRT subjects.

Plasma level of sex hormones and MMSE evaluation of all age groups

Among the three different age groups, the plasma E₂ concentrations in the long-term, low dose HRT groups were maintained above normal levels (>73.2 pmol/L), whereas those of the control groups were much lower. The difference between the two groups was significant (P<0.05). No significant differences were observed in plasma P or T concentrations, and no differences were observed in the MMSE evaluation between the HRT and controls for all age groups (Table 1).

Table 1. Plasma level of sex hormones and MMSE in different age subgroups. ^bP<0.05 vs corresponding control subgroup.

Group (years)	Number of subjects	E2 (pmol/L)	Progesterone (pmol/L)	Testosterone (pmol/L)	MMSE score
50–59
HRT	19	100.16±17.07b	0.989±0.264	0.868±0.197	29.26±0.18
Control	19	41.09±13.87	1.088±0.191	0.775±0.066	29.63±3.68
60–69
HRT	31	91.61±22.16b	1.122±0.064	0.986±0.076	29.03±0.20
Control	35	40.41±5.84	1.358±0.099	0.945±0.114	28.80±0.27
70–87
HRT	21	86.41±17.94b	1.050±0.076	0.879±0.107	28.57±0.75
Control	30	45.01±6.30	1.186±0.095	0.758±0.076	28.66±0.30

Data from 60–69 age group were analyze by t test and other data were analyzed by non-parametric Wilcoxon rank test.

Blood lipids, glucose, and pressure measurements in all age subgroups

In the 60–69 and 70–87 age subgroups, the cholesterol levels of HRT subjects were lower than those of corresponding control subjects (5.24±0.16 vs 5.96±0.18, P<0.05 and 5.56±2.00 vs 5.72±6.72, respectively). No significant differences were observed in the blood parameters of the HRT and control subgroups (Table 2).

Table 2. Blood glucose, lipid, and pressure in different age subgroups. ^bP<0.05 vs the corresponding control subgroup.

Age subgroups (Years)	Glucose (mmol/L)	Cholesterol (mmol/L)	Triglyeride (mmol/L)	Systolic pressure (kPa)	Diastolic pressure (kPa)
50–59
HRT	5.59±0.17	5.01±0.24	1.25±0.18	16.13±0.45	10.65±0.43
Control	5.75±0.37	4.99±0.67	1.46±0.23	15.72±0.50	10.12±0.31
60–69
HRT	5.52±0.14	5.24±0.16b	1.56±16.69	16.78±0.33	10.74±0.19
Control	5.93±0.29	5.96±0.18	1.75±0.19	17.28±0.40	10.59±0.24
70–87
HRT	5.43±3.45	5.56±2.00b	1.54±0.12	17.15±0.45	10.43±0.19
Control	5.47±0.20	5.72±6.72	1.66±0.13	18.49±0.48	10.75±0.25

Data from 60–69 age group were analyze by t test and other data were analyzed by non-parametric Wilcoxon rank test.

Measurement of DWMH and PVH using MRI in all age subgroups

The grading standards for DWMH and PVH are described in the methods section, and representative images are presented in Figures 1 and 2, respectively. In the 50–59 age subgroup, no severe pathological imaging was observed and there was no significant difference in DWMH imaging between the HRT and control group. In the 60–69 age subgroup, 10 cases of severe DWMH were observed in the control group. Although the incidence of severe change was higher in the HRT group than in the controls, there was no statistically significant difference between the two groups. In the 70–87 age subgroup, we observed 31 cases of severe grade changes, which were the most among the three age subgroups. We observed 24 severe grade changes in control group, but only seven in the HRT group. In addition, the grading distribution of DWMH was much higher in the control group than in the HRT group (P=0.0013). No significant differences were observed in PVH between the two groups for all age subgroups (Table 3).

Table 3. Effects of HRT on DWMH and PVH of brain imaging among different age subgroups. ^bP<0.05 vs the corresponding control subgroup.

Age subgroups (Years)	Number and percent of subjects in different DWMH grading levels				Number and percent of subjects in different PVH grading levels
	0–1	2–3	Total	P value	0–1	2–3	Total	P value
50–59
HRT	13 (68.4%)	6 (31.6%)	19		17 (89.5%)	2 (10.5%)	19
Control	18 (94.7%)	1 (5.3%)	19	0.0897	19 (100.0%)	0 (0.0%)	19	0.2432
Total	31 (81.6%)	7 (18.4%)	38		36 (94.7%)	2 (5.3%)	38
60–69
HRT	19 (59.4%)	13 (40.6%)	32		24 (75.0%)	8 (25.0%)	32
Control	24 (70.6%)	10 (29.4%)	34	0.3393	26 (76.5%)	8 (23.5%)	34	0.8892
Total	43 (65.2%)	23 (34.8%)	66		50 (75.8%)	16 (24.2%)	66
70–87
HRT	13 (65.0%)	7 (35.0%)	20		11 (55.0%)	9 (45.0%)	20
Control	6 (20.0%)	24 (80.0%)	30	0.0013b	11 (36.7%)	19 (63.3%)	30	0.2008
Total	19 (38.0%)	31 (62.0%)	50		22 (44.0%)	28 (56.0%)	50

All data were analyzed by chi-square test. Definite probability method of fourfold table was employed to calculate the χ² value.

Discussion

The early use of low dose HRT on postmenopausal women was proposed by PUMCH as early as the 1960s. Using HRT helped to avoid the adverse reaction and side effects of menopause and delivered protective effects on postmenopausal osteoporosis and atherosclerosis of the cardiovascular system. Our previous study reported that the age-related atrophy of the hippocampus was much slower in the long-term, low dose HRT group than in the controls^{10, 11}. There is, however, some debate regarding the effects of HRT in postmenopausal women. Many studies have reported negative results of HRT or have suggested risks that increase during HRT. Among those clinical trials, the Women's Health Initiative Memory Study project, completed in 2004, failed to find any positive effects of HRT. It is worth noting that the present study is a retrospective, cross-sectional study, in which the subjects were members of the medical staff at PUMCH. This ensured compliance and reliability in the treatment regimen. As shown in Figures 3 and 4, approximately 75% of women received HRT for more than 10 years, and about 91% postmenopausal the women in our study had turned to HRT. There was a significant difference between our study and the Women's Health Initiative Memory Study project, in which the duration of HRT was for 7 years and the initiation of HRT was at 65 years. There was also a difference in the administered dosages. The Women's Health Initiative Memory Study project used the recommended dosage, but the dosage taken by the subjects in our study was less, meeting the concept of “individualized treatment”. The results obtained from current study should therefore be taken into consideration when expressing doubt regarding the effects of HRT.

Cerebral anatomy showed that the blood vessels of the white matter around the lateral ventricle were long cortical medullary branches, which lacked vascular anastomosis and resulted in poor blood supply. Furthermore, the blood vessels had to travel long distances (3−10 mm) to reach the periventricular area, the lumens of which were confined because of long-term hypertension and atherosclerosis in elderly individuals. Thus, the periventricular areas were easily affected by ischemia^{16, 17}.

White matter foci can be detected on an MRI of both healthy elderly people and those that are cognitively impaired. A pathological study of these foci indicated that they were related to types of atherosclerosis, including myelin sheath loss and neuroglia hyperplasia. Some clinical cross-sectional studies abroad have shown gender-related differences in the MRI images of elderly people. The extent and prevalence of white matter harms (WMHs) is much higher in women than in men of the same age^{18, 19}. Another 3-year longitudinal study of 554 elderly people (70∼82 years old) had shown that, although the white matter were progressively harmed in both old men and women, the severity in the latter was two-fold higher²⁰. The authors attributed this difference to increased sensitivity to ischemia in postmenopausal women because of the decline in estrogen levels²⁰. The longitudinal study that compared the WMH between men and women of the same age better explained the important protective effect of estrogen on silent ischemic brain damage.

We have shown that the plasma levels of estrogen in all HRT subgroups were significantly higher than those of controls (P<0.05), and the grading distribution of DWMH in the HRT group was much lower than that of the control group (P=0.0013) in individuals over 70. This indicated that HRT had a clear protective effect on brain damage in elderly women, which was related to estrogen levels (P<0.05), but not progesterone levels.

Another study showed differences in WMH between two senile groups. In addition, changes in the cardiovascular system of the participants had shown that, in HRT groups, the plaques of the carotid artery were fewer and smaller, the level of the blood lipids harmful to vessels was much lower and the calcification and extent of stenosis of the coronary artery was mild²¹. These findings demonstrate that the protective effect of HRT in the brains of postmenopausal women is correlated with its protective effect of the cardiovascular system.

Neuropsychological scales are currently used to evaluate the therapeutic effect of HRT. In this study, we did not observe any differences between the two groups for all ages. The primary reason for this was that all of the participants were mentally healthy. Additionally, the manifestation of changes in brain function could be slower than the changes at the anatomical level. It is also possible that the high education level of the participants could have concealed the symptoms or that the participants affected were still in the state of subclinical structural brain disease. In conclusion, the results of this study indicate that senile women may benefit from the early initiation of HRT.

Author contribution

Qin-sheng GE and Ping-ping ZUO designed research; Yan-yong LIU, Ling HU, Chao JI, Dong-wen CHEN, Xi SHEN, Nan YANG, Yun YUE, and Xia HONG performed research; Yan-yong LIU and Jing-mei JIANG analyzed data; Yan-yong LIU and Ping-ping ZUO wrote the paper.