You're viewing our updated article page. If you need more time to adjust, you can return to the old layout.

ORIGINAL RESEARCH article

Front. Endocrinol., 20 December 2022

Sec. Bone Research

Volume 13 - 2022 | https://doi.org/10.3389/fendo.2022.1054048

Follicle-stimulating hormone and blood lead levels with bone mineral density and the risk of fractures in pre- and postmenopausal women

  • 1. Department of Endocrinology, General Hospital of Northern Theater Command, Shenyang, China

  • 2. Department of Orthopedics, The Second Affiliated Hospital of Harbin Medical University, Harbin, China

  • 3. Department of Orthopedics, Dalian Municipal Central Hospital, Dalian, China

  • 4. Department of Epidemiology and Statistics, School of Public Health, Tianjin Medical University, Tianjin, China

Article metrics

View details

5

Citations

2,1k

Views

946

Downloads

Abstract

Background:

The conclusions on the associations of serum follicle-stimulating hormone (FSH) and blood lead levels with bone mineral density (BMD) were controversial. Furthermore, little was known on the impacts of co-existence of serum FSH and blood lead levels on BMD and the risk of fractures in premenopausal and postmenopausal women. Therefore, the present study aimed to examine the associations of serum FSH and blood lead levels with BMD and the risk of fractures in premenopausal and postmenopausal women.

Methods:

Data were derived from the National Health and Nutrition Examination Survey. FSH is assayed using the Microparticle Enzyme Immunoassay technology. Blood lead levels were measured using atomic absorption spectrometry. BMD was measured using dual energy X-ray absorptiometry. Fractures were defined as subjects with fractures in any site of hip, wrist, and spine.

Results:

This study included 3798 participants. Elevated blood lead levels were associated with increased serum FSH levels (β= 48.22, 95% CI: 40.21~ 56.22). Serum FSH levels were negatively associated with total femur BMD in pre- and postmenopausal women. However, elevated serum FSH levels were associated with a lower lumbar spine BMD and a higher risk of fractures only in postmenopausal women (β= -0.0010, 95% CI: -0.0015~ -0.0006; OR: 1.007, 95% CI: 1.000~1.014, respectively).

Conclusions:

Serum lead levels were associated with serum FSH levels. Serum FSH levels were associated with a lower BMD and a higher risk of fractures.

Introduction

When women are coming to perimenopause, bone mineral density (BMD) will suffer from an accelerated loss with a rate of 1-2% per year (1, 2). The loss rate will be up to 2% per year at post menopause (3, 4). As a result, the risks of osteoporosis and fractures will considerably increase (57). Meanwhile, endocrine system will also undergo rapid changes. For example, circulating follicle-stimulating hormone (FSH) levels become elevated but estradiol levels rapidly decline due to ovarian failure as the ability to procreate ceases at menopause (8). Therefore, many studies were conducted to examine the associations of serum FSH and estradiol levels with BMD. However, the conclusions were controversial, especially for FSH (9, 10).

On the other hand, more than 90% of lead stored in bones throughout life. Furthermore, bone tissue becomes a main source of internal exposure lead as a result of the changes in bone turnover at menopause (11). It is documented that lead may be mobilized from the skeleton when bone is demineralized at menopause (12). Therefore, it was speculated that lead exposure might be associated with bone health. However, up to now, the results from different studies were inconsistent (1214). Furthermore, little was known on the interrelation between serum FSH and blood lead levels and the impacts of their co-existence on BMD and the risk of fractures in premenopausal and postmenopausal women.

Given blood lead levels are continuously decreasing over the past three decades among the US population, it was imperative to re-examine the associations of serum FSH and blood lead levels with BMD (15). Therefore, the objectives of this study were threefold: First, to demonstrate the interrelation between serum FSH and blood lead levels; second, to investigate the impact of co-existence of serum FSH and blood lead levels on BMD; and third, to evaluate the impact of co-existence of serum FSH and blood lead levels on the risk of fractures in premenopausal and postmenopausal women.

Methods

Study design

Data analyzed in this study were derived from the third National Health and Nutrition Examination Survey (NHANES III) from 1988 to 1994 and the continuous NHANES from 1999 to 2002. The NHANES is a repeated cross-sectional and random household survey, and aims to assess and supervise the health and nutritional status in the US population. A stratified, multistage random sample was used to create sample from the US population. Since 1959, a series of surveys were conducted in different population groups. To meet emerging needs, the NHANES has become a continuous program since 1999. The NHANES III focused on oversampling many groups, including children aged 2 months to 5 years, older adults aged 60 years or over, Mexican-American persons, and non-Hispanic black persons. However, the continuous NHANES focused on oversampling of low-income group, adolescents aged 12-19 years, older adults aged 60 years or over, African Americans, and Mexican Americans. The response rate was approximately 78%. Mobile examination centers (MECs) were used to conduct health examinations. If participants failed to complete the MECs, an abbreviated health examination was provided. The major information collected in the NHANES include demographic, socioeconomic, dietary, health-related questions, physiological measurements, and laboratory tests.

Study population

This study analyzed all women with complete data in serum FSH levels, blood lead levels, BMD, and the history of fractures. Given a previous study reported that age-related bone loss began as late as 39 years, this study included women with a minimum age of 35 years (16). Meanwhile, the upper limit of age was 60 years as that was the age limit of serum FSH measurement. Besides, women who were pregnant or breastfeeding at the time of survey were excluded. Women with missing data in covariates were excluded. The detailed process is displayed in Figure 1. The studies involving human participants were reviewed and approved by the NHANES Institutional Review Board (1999-2002: Protocol #98-12). The participants provided written informed consent to participate in this study.

Figure 1

Figure 1

The flow chart of participants inclusion.

Measurements

Fasting blood samples were collected at MECs or at home and were used to assay serum FSH levels, blood lead levels, and other serum biochemical indicators. FSH assay is based on the Microparticle Enzyme Immunoassay (MEIA) technology and was in IU/L. Blood lead levels were measured in umol/L using atomic absorption spectrometry. BMD was measured using dual energy X-ray absorptiometry. Total femur and lumbar spine BMD were collected in the NHANES III and NHANES 1999-2002, respectively. The history of fractures were collected via three similar questions: Has a doctor ever told you that you had broken or fractured hip/wrist/spine? If women had fractures in any site of hip, wrist, and spine, she was considered to have a history of fractures.

Covariates

Age ranged from 35 to 60 years. Height in meter and weight in kilogram were used to calculate body mass index (BMI). Race was classed as non-Hispanic white, non-Hispanic black, Mexican-American, and Other. Current smoking status (yes or no) was identified by a question as follows: Do you now smoke cigarettes/pipe/cigars/use snuff/use chewing tobacco? Current alcohol consumption (yes or no) was identified by a question as follows: Had at least 12 alcohol drinks per year? Alcohol drinks included liquor (such as whiskey or gin), beer, wine, wine coolers, and any other type of alcoholic beverage. Education levels were identified using a question: What is the highest grade or level of school you have completed or the highest degree you have received? Education levels were reclassified as middle school or below, high school, and college or above in the final analysis. Marital status was classified as married, widowed, divorced, separated, and never married. Annual household income was reclassified as < $20,000, $20,000~$45,000, and ≥ $45,000. History of hypertension and diabetes, ever been pregnant, had at least one ovary removed, use of hormone therapy, and ever treated for osteoporosis were collected at MECs. If a woman had not menstruated for 12 months or longer, she was considered as a postmenopausal woman. Otherwise, she was considered as a premenopausal woman.

Statistical analysis

Quantitative data such as age, BMI, and BMD were expressed as means ± standard deviations, and compared between premenopausal and postmenopausal groups using t test. Serum FSH levels were expressed as P50 (P25, P75) and blood lead levels were expressed as geometric mean (95% CI), which were compared between-groups using Wilcoxon rank sum test. Qualitative data were expressed as frequencies (percentages) and compared between-groups using chi-square test. General linear regression model was employed to analyze the association of blood lead levels with serum FSH levels and the associations of serum FSH and blood lead levels with BMD. Logistic regression model was used to examine the associations of serum FSH and blood lead levels with the risk of fractures and obtain odd ratios (ORs) and 95% confidential intervals (95% CIs). Furthermore, both general linear regression and logistic regression models were stratified by menopausal status. In adjusted models, covariates such as age, BMI, race, current smoking, current alcohol consumption, education levels, marital status, annual household income, history of hypertension and diabetes, ever been pregnant, had at least one ovary removed, use of hormone therapy, and ever treated for osteoporosis were adjusted. All analyses were conducted using SAS 9.4 (SAS Institute Inc., Cary, NC, USA.). A two-tailed P≤ 0.05 was considered to be statistically significant.

Results

This study included 3798 participants in the final analysis. There were 2506 participants from the NHANES III and 1292 participants from the NHANES 1999-2002. In total, the average of age was 45.97± 7.41 years. There were 2172 premenopausal and 1626 postmenopausal women. The median of serum FSH levels was 11.27(5.69, 51.00) IU/L. The geometric mean of blood lead levels was 0.095 (0.093, 0.098) umol/L. The averages of total femur and lumbar spine BMD were 0.94± 0. 15 and 1.05± 0.16 g/cm2, respectively. There were 190 women with history of fractures, accounting for 5.00%. Furthermore, compared to premenopausal women, postmenopausal women had higher serum FSH and blood lead levels (all P< 0.001), lower total femur and lumbar spine BMD (all P< 0.001), and an increased rate of fractures (P= 0.002). In other covariates, significant differences between-groups were observed in BMI, race, current smoking, current alcohol consumption, education levels, marital status, history of hypertension and diabetes, had at least one ovary removed, use of hormone therapy, and ever treated for osteoporosis, but not in annual household income (P= 0.070) and ever been pregnant (P= 0.635). The characteristics of all participants are shown in Table 1.

Table 1

Characteristics Total sample (n=3798) Premenopausal women (n=2172) Postmenopausal women (n=1626) P
Age (mean ± SD, years) 45.97± 7.41 41.89 ± 5.07 51.41 ± 6.51 < 0.001
BMI (mean ± SD, kg/m2) 28.95± 6.94 28.63 ± 7.08 29.37 ± 6.72 0.001
Race (n (%))# < 0.001
 Non-Hispanic white 1714(45.13) 913(42.03) 801(49.26)
 Non-Hispanic black 993(26.15) 575(26.47) 418(25.71)
 Mexican-American 864(22.75) 549(25.28) 315(19.37)
 Other 227(5.98) 135(6.22) 92(5.66)
Current smoking (n (%))# 0.001
 No 2877(75.75) 1690(77.81) 1187(73.00)
 Yes 921(24.25) 482(22.19) 439(27.00)
Current alcohol consumption
(n (%))#
< 0.001
 No 2506(65.98) 1372(63.17) 1134(69.74)
 Yes 1292(34.02) 800(36.83) 492(30.26)
Education levels (n (%))# < 0.001
 Middle school or below 545(14.35) 281(12.94) 264(16.24)
 High school 1786(47.02) 958(44.11) 828(50.92)
 College or above 1467(38.63) 933(42.96) 534(32.84)
Marital status (n (%))# < 0.001
 Married 2500(65.82) 1451(66.80) 1049(64.51)
 Widowed 182(4.79) 46(2.12) 136(8.36)
 Divorced 564(14.85) 304(14.00) 260(15.99)
 Separated 232(6.11) 140(6.45) 92(5.66)
 Never married 320(8.43) 231(10.64) 89(5.47)
Annual household income
(n (%))#
0.070
 < $20,000 1185(31.2) 646(29.74) 539(33.15)
 $20,000~$45,000 1315(34.62) 761(35.04) 554(34.07)
 ≥$45,000 1298(34.18) 765(35.22) 533(32.78)
History of hypertension (n (%))# < 0.001
 No 2444(64.35) 1585(72.97) 859(52.83)
 Yes 1354(35.65) 587(27.03) 767(47.17)
History of diabetes (n (%))# < 0.001
 No 3331(87.70) 1975(90.93) 1356(83.39)
 Yes 467(12.30) 197(9.07) 270(16.61)
Ever been pregnant (n (%))# 0.635
 No 294(7.74) 172(7.92) 122(7.50)
 Yes 3504(92.26) 2000(92.08) 1504(92.50)
Had at least one ovary removed
(n (%))#
< 0.001
 No 3169(83.44) 2094(96.41) 1075(66.11)
 Yes 629(16.56) 78(3.59) 551(33.89)
Ever treated for osteoporosis
(n (%))#
< 0.003
 No 3755(98.87) 2160(99.45) 1595(93.79)
 Yes 43(1.13) 12(0.55) 31(6.21)
Use of hormone therapy
(n (%))#
< 0.001
 No 3416(89.94) 2101(96.73) 1315(80.87)
 Yes 382(10.06) 71(3.27) 311(19.13)
History of fractures (n (%))# 0.003
 No 3608(95.00) 2083(95.90) 1525(93.79)
 Yes 190(5.00) 89(4.10) 101(7.80)
FSH (P50(P25, P75), IU/L)§ 11.27(5.69, 51.00) 6.70(4.65, 11.39) 51.00(22.81, 72.80) < 0.001
Blood lead levels
((geometric mean (95% CI), umol/L)§
0.095 (0.093, 0.098) 0.085 (0.083, 0.088) 0.111 (0.108, 0.115) < 0.001
Total femur BMD
(mean ± SD, g/cm2)
0.94± 0.15 0.96 ± 0.14 0.90 ± 0.15 < 0.001
Lumbar spine BMD
(mean ± SD, g/cm2)
1.05± 0.16 1.08 ± 0.15 1.02 ± 0.16 < 0.001

Characteristics of all participants.

BMI, body mass index; FSH, follicle-stimulating hormone; BMD, bone mineral density.

These variables were analyzed using t-test.

#These variables were analyzed using chi-square.

§These variables were analyzed using Wilcoxon rank sum test.

Figure 2 shows the association of blood lead levels with serum FSH levels. Whether adjusting for covariates or not, elevated blood lead levels were associated with increased serum FSH levels (β= 48.22, 95% CI: 40.21~ 56.22, P< 0.001). When stratified by menopausal status, there was a positive association of blood lead levels with serum FSH levels in both premenopausal and postmenopausal women (β= 19.47, 95% CI: 11.59~ 27.35, P< 0.001; β= 52.72, 95% CI: 39.24~ 66.20, P< 0.001, respectively).

Figure 2

Figure 2

The association of blood lead levels with FSH. In adjusted models, age, BMI, race, current smoking, current alcohol consumption, education levels, marital status, annual household income, history of hypertension and diabetes, ever been pregnant, use of hormone therapy, and had at least one ovary removed were adjusted. In postmenopausal women, years since menopause was additionally adjusted.

In total population, serum FSH levels were negatively associated with total femur and lumbar spine BMD (β= -0.0008, 95% CI: -0.0010~ -0.0006 P< 0.001; β= -0.0009, 95% CI: -0.0012~ -0.0006, P< 0.001, respectively). However, there were no significant associations of blood lead levels with total femur and lumbar spine BMD (β= -0.0364, 95% CI: -0.0810~ 0.0082, P= 0.110; β= -0.0945, 95% CI: -0.2233~ 0.0342, P= 0.150, respectively). When serum FSH and blood lead levels were simultaneously analyzed, elevated serum FSH levels but not blood lead levels were associated with lower total femur and lumbar spine BMD (β= -0.0008, 95% CI: -0.0010~ -0.0006, P< 0.001; β= -0.0009, 95% CI: -0.0012~ -0.0006, P< 0.001, respectively). (Table 2)

Table 2

Models Total femur bone mineral density Lumbar spine bone mineral density
β 95% CI P β 95% CI P
Model 1
 FSH -0.0008 -0.0010~ -0.0006 < 0.001 -0.0009 -0.0012~ -0.0006 < 0.001
Model 2
 Blood lead levels -0.0364 -0.0810~ 0.0082 0.110 -0.0945 -0.2233~ 0.0342 0.150
Model 3
 FSH -0.0008 -0.0010~ -0.0006 < 0.001 -0.0009 -0.0012~ -0.0006 < 0.001
 Blood lead levels -0.0075 -0.0523~ 0.0373 0.742 0.0013 -0.1306~ 0.1331 0.985

The associations of FSH and blood lead levels with bone mineral density.

FSH, follicle-stimulating hormone.

In all models, age, BMI, race, current smoking, current alcohol consumption, education levels, marital status, annual household income, history of hypertension, diabetes, and fractures, ever been pregnant, had at least one ovary removed, use of hormone therapy, and ever treated for osteoporosis were adjusted.

Table 3 shows the associations of serum FSH and blood lead levels with BMD stratified by menopausal status. For total femur BMD, independently of menopausal status, serum FSH levels were negatively associated with total femur BMD when serum FSH and blood lead levels were analyzed separately. Similarly, only serum FSH levels were negatively associated with total femur BMD (premenopausal women: β= -0.0007, 95% CI: -0.0011~ -0.0003, P = 0.001; postmenopausal women: β= -0.0008, 95% CI: -0.0011~ -0.0005, P< 0.001) when they were simultaneously analyzed. For lumbar spine BMD, serum FSH and blood lead levels were not associated with BMD whether they were analyzed separately or simultaneously in premenopausal women. However, serum FSH levels were negatively associated with BMD in postmenopausal women when it was analyzed separately (β= -0.0010, 95% CI: -0.0015~ -0.0006, P< 0.001) and was analyzed together with blood lead levels (β= -0.0011, 95% CI: -0.0015~ -0.0007, P< 0.001). No significant relationship between blood lead levels and BMD was observed in any scenario.

Table 3

Models Total femur bone mineral density Lumbar spine bone mineral density
β 95% CI P β 95% CI P
Premenopausal women (n=2172)
Model 1
 FSH -0.0007 -0.0010~ -0.0003 0.001 0.0001 -0.0005~ 0.0006 0.849
Model 2
 Blood lead levels 0.0045 -0.0602~ 0.0691 0.892 -0.0564 -0.2335~ 0.1207 0.532
Model 3
 FSH -0.0007 -0.0011~ -0.0003 0.001 0.0001 -0.0005~ 0.0007 0.797
 Blood lead levels 0.0158 -0.0490~ 0.0806 0.633 -0.0588 -0.2371~ 0.1194 0.517
Postmenopausal (n=1626)#
Model 1
 FSH -0.0008 -0.0011~ -0.0006 < 0.001 -0.0010 -0.0015~ -0.0006 < 0.001
Model 2
 Blood lead levels -0.0697 -0.1325~ -0.0069 0.030 -0.0743 -0.2691~ 0.1205 0.454
Model 3
 FSH -0.0008 -0.0011~ -0.0005 < 0.001 -0.0011 -0.0015~ -0.0007 < 0.001
 Blood lead levels -0.0402 -0.1027~ 0.0224 0.208 0.0900 -0.1113~ 0.2912 0.380

The associations of FSH and blood lead levels with bone mineral density stratified by menopausal status.

FSH, follicle-stimulating hormone.

In all models, age, BMI, race, current smoking, current alcohol consumption, education levels, marital status, annual household income, history of hypertension, diabetes, and fractures, ever been pregnant, had at least one ovary removed, use of hormone therapy, and ever treated for osteoporosis were adjusted.

#In postmenopausal women, years since menopause was additionally adjusted.

The associations of serum FSH and blood lead levels with the risk of fractures are present in Table 4. In total samples, elevated serum FSH levels were associated with a higher risk of fractures (OR: 1.007, 95% CI: 1.001~1.012, P= 0.021) as it was analyzed separately. However, blood lead levels were not associated with the risk of fractures (OR: 0.599, 95% CI: 0.132~2.724, P= 0.507) as it was analyzed separately. When serum FSH and blood lead levels were simultaneously analyzed, only serum FSH levels were associated with the risk of fractures (OR: 1.007, 95% CI: 1.002~1.013, P= 0.012). In premenopausal women, there were no significant associations of serum FSH and blood lead levels with the risk of fractures in any scenario. However, a significant relationship between serum FSH levels and the risk of fractures was observed in postmenopausal women as it was analyzed separately (OR: 1.007, 95% CI: 1.000~1.014, P= 0.041) and it was analyzed together with blood lead levels (OR: 1.008, 95% CI: 1.001~1.015, P= 0.033).

Table 4

Models Total samples(190/3798)# Premenopausal women (89/2172)# Postmenopausal women (101/1626)#,‡
OR 95% CI P OR 95% CI P OR 95% CI P
Model 1
FSH 1.007 1.001~1.012 0.021 0.992 0.975~1.009 0.347 1.007 1.000~1.014 0.041
Model 2
Blood lead levels 0.599 0.132~2.724 0.507 0.282 0.017~4.653 0.376 0.784 0.115~5.338 0.804
Model 3
FSH 1.007 1.002~1.013 0.012 0.993 0.975~1.010 0.717 1.008 1.001~1.015 0.033
Blood lead levels 0.405 0.080~2.048 0.827 0.325 0.020~5.308 0.430 0.514 0.065~4.090 0.529

The associations of FSH and blood lead levels with the risk of fractures.

FSH, follicle-stimulating hormone.

In all models, age, BMI, race, current smoking, current alcohol consumption, education levels, marital status, annual household income, history of hypertension, diabetes, and fractures, ever been pregnant, had at least one ovary removed, use of hormone therapy, and ever treated for osteoporosis were adjusted.

#Indicating the number of fractures/sample size.

In postmenopausal women, years since menopause was additionally adjusted.

Discussion

This study examined the relationship between serum FSH and blood lead levels, as well as the associations of serum FSH and blood lead levels with BMD and the risk of fractures. The results implied that elevated blood lead levels were associated with increased serum FSH levels independently of menopausal status. Serum FSH levels were negatively associated with total femur BMD independently of blood lead levels and menopausal status. However, elevated serum FSH levels were associated with a lower lumbar spine BMD and a higher risk of fractures in postmenopausal women but not in premenopausal women. While there was no significant association of blood lead levels with BMD and the risk of fractures.

Previous studies reported that lead exposure was linked to increased risks of spontaneous abortion, reduced sperm count, and poor sperm motility (17). Several studies declared that lead can accumulate in ovarian follicular fluid and restrain the production of progesterone (18, 19). As a response, FSH levels will increase. The potential mechanisms of lead exposure regulating serum FSH levels were as follows: First, lead can act on the hypothalamus and pituitary gland and interplay with calcium to increase FSH levels (20, 21). Second, since lead may cross the blood-brain barrier, lead can restrain hypothalamic cells to secrete gonadotropin-releasing hormone (GnRH) and activate calmodulin (22, 23). Third, lead exposure can increase homocysteine levels, which can activate N-methyl-D-aspartate (NMDA) and γ-aminobutyric acid (GABA) (2426). In turn, NMDA can promote FSH secretion and GABA can regulate GnRH secretion (27, 28). Therefore, that mentioned above supported the findings of this study. On the other hand, no significant associations of blood lead levels with BMD and the risk of fractures were observed, which was consistent with some previous studies (13). However, other studies found a significant relationship between BMD and blood lead levels (29, 30). A possible reason explaining this disparity was that blood lead levels have considerably decreased over the past three decades (30). Another reason may be that plasma lead was a better indicators of toxicity than blood lead levels (31). However, only blood lead levels were available in the NHANES.

This study found that women with elevated serum FSH levels had a lower BMD and a higher risk of fractures, which was consistent with previous study (32). It was documented that elevated FSH levels accelerated bone resorption and contributed to osteoclast formation, which was susceptive to the mitogen-activated protein kinase (MAPK), nuclear factor kappa B (NFκB), and akt pathways (33, 34). Furthermore, studies in vitro showed that FSH promoted bone resorption and bone loss by an isoform of FSH receptor on bone (33, 35, 36). A low BMD is a key predictor of fall and osteoporotic fracture (4). Therefore, it was rational that elevated serum FSH levels were linked to a lower BMD and a higher risk of fractures. Notably, further stratification analysis found that significant associations of serum FSH levels with lumbar spine BMD and the risk of fractures occurred only in postmenopausal women but not in premenopausal women. Some potential reasons would explain this phenomenon. First, rate of postmenopausal bone loss was higher than that of premenopausal women (4). Therefore, postmenopausal bone loss was more obvious and sensitive to FSH. Second, a recent study indicated that age-related bone loss began at about 39 years in the total femur but at 49 years in the lumbar spine (16). Thus, onset of bone loss in the lumbar spine was later than that in the total femur. Lumbar spine bone loss was trivial before the final menstrual period. Therefore, serum FSH levels affected lumbar spine BMD in postmenopausal women but not in premenopausal women. Third, serum FSH levels increased prior to the decrease in estradiol levels. Decrease in estradiol level occurred across the menopausal transition and was most obvious during the postmenopausal period (37, 38). Therefore, the impact of serum FSH levels on BMD was more considerable in postmenopausal women given the attenuated protective effect of estradiol levels on BMD.

Strengths and limitations

The advantages of this study were as follows: First, data analyzed in this study were obtained from the NHANES III and the continuous NHANES 1999-2002, which are representative of the US population. Therefore, the findings of this study were accurate and can stand the test. Second, this was the first study to simultaneously examine the associations of serum FSH and blood lead levels with BMD and the risk of fractures. As a result, this study can provide additional evidence and suggestion for preventing bone loss in the later life of women. However, the limitations of this study should also be stated. First, estradiol levels were collected only in males aged 12 years or over and failed to be adjusted in this study. Second, this study was a cross-sectional study, which was poor in demonstrating the causal associations of serum FSH and blood lead levels with BMD and the risk of fractures. Furthermore, the impact of serum FSH levels on BMD may be hysteretic. Measurements of changes in serum FSH levels or dynamic serum FSH levels may be better to picture the association of serum FSH levels with BMD. Therefore, longitudinal studies are needed to confirm these associations in the future. Thirdly, this study focused on young women aged 35-60 years. It should be cautious when extrapolating the conclusion to older women.

In conclusion, lead exposure was significantly associated with serum FSH levels but not BMD and the risk of fractures. Elevated serum FSH levels were linked to a lower total femur BMD and a higher risk of fractures independently of blood lead levels and menopausal status. However, elevated serum FSH levels were associated with a lower lumbar spine BMD and a higher risk of fractures only in postmenopausal women but not in premenopausal women. Therefore, serum FSH levels should be used together with menopausal status to precisely prevent from bone loss at different sites in the later life of women.

Statements

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.cdc.gov/nchs/index.htm.

Ethics statement

The studies involving human participants were reviewed and approved by the NHANES Institutional Review Board. The participants provided their written informed consent to participate in this study.

Author contributions

HT contributed to writing the original draft. BS contributed to review and editing the draft. ZL contributed to formal analysis and results interpretation. YC contributed to study design and conceptualization. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the National Natural Science Foundation of China (81903416). The sponsor has no role in the study design, data analysis, and result interpretation.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • 1

    Recker RR Lappe JM Davies KM Kimmel DB . Change in bone mass immediately before menopause. J Bone Miner Res (1992) 7(8):857–62. doi: 10.1002/jbmr.5650070802

  • 2

    Sowers MR Clark MK Hollis B Wallace RB Jannausch M . Radial bone mineral density in pre- and perimenopausal women: a prospective study of rates and risk factors for loss. J Bone Miner Res (1992) 7(6):647–57. doi: 10.1002/jbmr.5650070609

  • 3

    Lofman O Larsson L Ross I Toss G Berglund K . Bone mineral density in normal Swedish women. Bone (1997) 20(2):167–74. doi: 10.1016/S8756-3282(96)00345-6

  • 4

    Sowers MR Finkelstein JS Ettinger B Bondarenko I Neer RM Cauley JA et al . The association of endogenous hormone concentrations and bone mineral density measures in pre- and perimenopausal women of four ethnic groups: SWAN. Osteoporos Int (2003) 14(1):4452. doi: 10.1007/s00198-002-1307-x

  • 5

    Shieh A Greendale GA Cauley JA Karvonen-Gutierrez C Crandall CJ Karlamangla AS . Estradiol and follicle- stimulating hormone as predictors of onset of menopause transition-related bone loss in pre- and perimenopausal women. J Bone Miner Res (2019) 34(12):2246–53. doi: 10.1002/jbmr.3856

  • 6

    Berger C Langsetmo L Joseph L Hanley DA Davison KS Josse RG et al . Association between change in BMD and fragility fracture in women and men. J Bone Miner Res (2009) 24(2):361–70. doi: 10.1359/jbmr.081004

  • 7

    Ahmed LA Emaus N Berntsen GK Bjornerem A Fonnebo V Jorgensen L et al . Bone loss and the risk of non-vertebral fractures in women and men: the tromso study. Osteoporos Int (2010) 21(9):1503–11. doi: 10.1007/s00198-009-1102-z

  • 8

    Liu P Ji Y Yuen T Rendina-Ruedy E DeMambro VE Dhawan S et al . Blocking FSH induces thermogenic adipose tissue and reduces body fat. Nature (2017) 546(7656):107–12. doi: 10.1038/nature22342

  • 9

    Castelo-Branco C Leon M Duran M Balasch J . Follicle-stimulating hormone does not directly regulate bone mass in human beings: evidence from nature. Fertil Steril (2008) 90(6):2211–6. doi: 10.1016/j.fertnstert.2007.10.040

  • 10

    Park YM Jankowski CM Swanson CM Hildreth KL Kohrt WM Moreau KL . Bone mineral density in different menopause stages is associated with follicle stimulating hormone levels in healthy women. Int J Environ Res (2021) 18(3):1200. doi: 10.3390/ijerph18031200

  • 11

    Gulson BL Mahaffey KR Mizon KJ Korsch MJ Cameron MA Vimpani G . Contribution of tissue lead to blood lead in adult female subjects based on stable lead isotope methods. J Lab Clin Med (1995) 125(6):703–12.

  • 12

    Lee BK Kim Y . Association between bone mineral density and blood lead level in menopausal women: analysis of 2008-2009 Korean national health and nutrition examination survey data. Environ Res (2012) 115:5965. doi: 10.1016/j.envres.2012.03.010

  • 13

    Theppeang K Glass TA Bandeen-Roche K Todd AC Rohde CA Links JM et al . Associations of bone mineral density and lead levels in blood, tibia, and patella in urban-dwelling women. Environ Health Perspect (2008) 116(6):784–90. doi: 10.1289/ehp.10977

  • 14

    Lim HS Lee HH Kim TH Lee BR . Relationship between heavy metal exposure and bone mineral density in korean adult. J Bone Miner Metab (2016) 23(4):223–31. doi: 10.11005/jbm.2016.23.4.223

  • 15

    Tsoi MF Cheung CL Cheung TT Cheung BM . Continual decrease in blood lead level in americans: United states national health nutrition and examination survey 1999-2014. Am J Med (2016) 129(11):1213–8. doi: 10.1016/j.amjmed.2016.05.042

  • 16

    Mazess RB Barden H . Bone density of the spine and femur in adult white females. Calcified Tissue Int (1999) 65(2):91–9. doi: 10.1007/s002239900663

  • 17

    Borja-Aburto VH Hertz-Picciotto I Rojas Lopez M Farias P Rios C Blanco J . Blood lead levels measured prospectively and risk of spontaneous abortion. Am J Epidemiol (1999) 150(6):590–7. doi: 10.1093/oxfordjournals.aje.a010057

  • 18

    Paksy K Gati I Naray M Rajczy K . Lead accumulation in human ovarian follicular fluid, and in vitro effect of lead on progesterone production by cultured human ovarian granulosa cells. J Toxicol Environ Health-Part A-Current Issues (2001) 62(5):359–66. doi: 10.1080/152873901300018093

  • 19

    Lee TW Kim DH Ryu JY . The effects of exposure to lead, cadmium and mercury on follicle-stimulating hormone levels in men and postmenopausal women: data from the second Korean national environmental health survey (2012-2014). Ann Occup Environ Med (2019) 31:e21. doi: 10.35371/aoem.2019.31.e21

  • 20

    Tandon OP Chintala R . Hypothalamo-pituitary-gonadal axis in control of female reproductive cycle. Indian J Physiol Pharmacol (2001) 45(4):395407.

  • 21

    Simons TJ . Lead-calcium interactions in cellular lead toxicity. Neurotoxicology (1993) 14(2-3):7785.

  • 22

    Krsmanovic LZ Hu L Leung PK Feng H Catt KJ . The hypothalamic GnRH pulse generator: multiple regulatory mechanisms. Trends Endocrinol Metab (2009) 20(8):402–8. doi: 10.1016/j.tem.2009.05.002

  • 23

    Marchetti C . Molecular targets of lead in brain neurotoxicity. Neurotoxic Res (2003) 5(3):221–36. doi: 10.1007/BF03033142

  • 24

    Schafer JH Glass TA Bressler J Todd AC Schwartz BS . Blood lead is a predictor of homocysteine levels in a population-based study of older adults. Environ Health Perspect (2005) 113(1):31–5. doi: 10.1289/ehp.7369

  • 25

    Jara-Prado A Ortega-Vazquez A Martinez-Ruano L Rios C Santamaria A . Homocysteine-induced brain lipid peroxidation: effects of NMDA receptor blockade, antioxidant treatment, and nitric oxide synthase inhibition. Neurotoxic Res (2003) 5(4):237–43. doi: 10.1007/BF03033381

  • 26

    Shastry S Tyagi N Moshal KS Lominadze D Hayden MR Tyagi SC . GABA receptors ameliorate hcy-mediated integrin shedding and constrictive collagen remodeling in microvascular endothelial cells. Cell Biochem Biophys (2006) 45(2):157–65. doi: 10.1385/CBB:45:2:157

  • 27

    Sticker LS Thompson DL Jr. Gentry LR . Pituitary hormone and insulin responses to infusion of amino acids and n-methyl-D,L-aspartate in horses. J Anim Sci (2001) 79(3):735–44. doi: 10.2527/2001.793735x

  • 28

    Watanabe M Fukuda A Nabekura J . The role of GABA in the regulation of GnRH neurons. Front Neurosci (2014) 8:387. doi: 10.3389/fnins.2014.00387

  • 29

    Potula V Kleinbaum D Kaye W . Lead exposure and spine bone mineral density. J Occup Environ Med (2006) 48(6):556–64. doi: 10.1097/01.jom.0000222556.89044.90

  • 30

    Khalil N Cauley JA Wilson JW Talbott EO Morrow L Hochberg MC et al . Relationship of blood lead levels to incident nonspine fractures and falls in older women: the study of osteoporotic fractures. J Bone Miner Res (2008) 23(9):1417–25. doi: 10.1359/jbmr.080404

  • 31

    Smith DR Ilustre RP Osterloh JD . Methodological considerations for the accurate determination of lead in human plasma and serum. Am J Ind Med (1998) 33(5):430–8. doi: 10.1002/(SICI)1097-0274(199805)33:5<430::AID-AJIM2>3.0.CO;2-W

  • 32

    Gallagher CM Moonga BS Kovach JS . Cadmium, follicle-stimulating hormone, and effects on bone in women age 42-60 years, NHANES III. Environ Res (2010) 110(1):105–11. doi: 10.1016/j.envres.2009.09.012

  • 33

    Sun L Peng Y Sharrow AC Iqbal J Zhang Z Papachristou DJ et al . FSH directly regulates bone mass. Cell (2006) 125(2):247–60. doi: 10.1016/j.cell.2006.01.051

  • 34

    Zaidi M Blair HC Iqbal J Davies TF Zhu LL Zallone A et al . New insights: elevated follicle-stimulating hormone and bone loss during the menopausal transition. Curr Rheumatol Rep (2009) 11(3):191–5. doi: 10.1007/s11926-009-0026-0

  • 35

    Robinson LJ Tourkova I Wang Y Sharrow AC Landau MS Yaroslavskiy BB et al . FSH-receptor isoforms and FSH-dependent gene transcription in human monocytes and osteoclasts. Biochem Biophys Res Commun (2010) 394(1):12–7. doi: 10.1016/j.bbrc.2010.02.112

  • 36

    Wang J Zhang W Yu C Zhang X Zhang H Guan Q et al . Follicle-stimulating hormone increases the risk of postmenopausal osteoporosis by stimulating osteoclast differentiation. PloS One (2015) 10(8):e0134986. doi: 10.1371/journal.pone.0134986

  • 37

    Burger HG Dudley EC Robertson DM Dennerstein L . Hormonal changes in the menopause transition. Recent Prog Hormone Res (2002) 57:257–75. doi: 10.1210/rp.57.1.257

  • 38

    Sowers M Zheng H Tomey K Karvonen-Gutierrez C Jannausch M Li X et al . Changes in body composition in women over six years at midlife: ovarian and chronological aging. J Clin Endocrinol Metab (2007) 92(3):895901. doi: 10.1210/jc.2006-1393

Summary

Keywords

follicle-stimulating hormone, blood lead levels, fractures – bone, menopause, bone mineral density

Citation

Tong H, Su B, Liu Z and Chen Y (2022) Follicle-stimulating hormone and blood lead levels with bone mineral density and the risk of fractures in pre- and postmenopausal women. Front. Endocrinol. 13:1054048. doi: 10.3389/fendo.2022.1054048

Received

26 September 2022

Accepted

02 December 2022

Published

20 December 2022

Volume

13 - 2022

Edited by

Daniela Merlotti, University of Siena, Italy

Reviewed by

Xi-Yu Wu, Second Xiangya Hospital, Central South University, China; Yang Yang, Fudan University, China

Updates

Copyright

*Correspondence: Yongjie Chen,

†These authors have contributed equally to this work

This article was submitted to Bone Research, a section of the journal Frontiers in Endocrinology

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics