Association between Metal(loid) Exposure and Risk of Polycystic Ovary Syndrome Mediated by Anti-Müllerian Hormone among Women Undergoing In Vitro Fertilization and Embryo Transfer

Shu Su Mengyuan Ren Yanqiu Feng Changxin Lan Lailai Yan Qun Lu Jia Xu Bin Han Lili Zhuang Mingliang Fang Bin Wang Hongchu Bao Bo Pan

Azziz R, Carmina E, Chen ZJ, et al. Polycystic ovary syndrome. Nat Rev Dis Primers, 2016; 2, 16057. doi:  10.3967/bes2024.154
Citation: Azziz R, Carmina E, Chen ZJ, et al. Polycystic ovary syndrome. Nat Rev Dis Primers, 2016; 2, 16057. doi:  10.3967/bes2024.154

doi: 10.3967/bes2024.154

Association between Metal(loid) Exposure and Risk of Polycystic Ovary Syndrome Mediated by Anti-Müllerian Hormone among Women Undergoing In Vitro Fertilization and Embryo Transfer

Funds: This work was supported by the National Key Research & Development Program of the Ministry of Science and Technology of China [Grant No. 2022YFE0134900; 2023YFC3708305]; the Strategy Priority Research Program (Category B) of Chinese Academy of Sciences [No. XDB0750300]; the Yunnan Major Scientific and Technological Projects [Grant No. 202202AG050019]; and the National Natural Science Foundation of China [Grant No. 42077390].
More Information
    Author Bio:

    Shu Su, female, born in 1990, PhD, majoring in human exposure to emerging environmental pollutants

    Corresponding author: Dr. Bin Wang, E-mail: binwang@pku.edu.cnDr. Hongchu Bao, E-mail: bhch1005@126.com
  • Study conception, Bin Wang, Hongchu Bao, and Shu Su; Experimental analysis and investigation, Bin Wang and Shu Su; Manuscript original draft, Shu Su; Manuscript review and editing, Mengyuan Ren, Yanqiu Feng, Changxin Lan, Lailai Yan, Qun Lu, Jia Xu, Bin Han, Lili Zhuang, Mingliang Fang, Hongchu Bao, Bin Wang, and Bo Pan; and Project administration, Hongchu Bao and Bin Wang.
  • The authors have no competing interests to declare.
    • 关键词:
    •  / 
    •  / 
    •  / 
    •  / 
    •  
    Study conception, Bin Wang, Hongchu Bao, and Shu Su; Experimental analysis and investigation, Bin Wang and Shu Su; Manuscript original draft, Shu Su; Manuscript review and editing, Mengyuan Ren, Yanqiu Feng, Changxin Lan, Lailai Yan, Qun Lu, Jia Xu, Bin Han, Lili Zhuang, Mingliang Fang, Hongchu Bao, Bin Wang, and Bo Pan; and Project administration, Hongchu Bao and Bin Wang.
    The authors have no competing interests to declare.
    注释:
    1) AUTHOR CONTRIBUTIONS: 2) COMPETING INTERESTS:
  • Figure  1.  Correlation coefficients among 29 metal(loid)s analyzed in the follicular fluid. ***P < 0.001; **P < 0.01; *P < 0.05; Ti, titanium; Hg, mercury; Cs, cesium; Rb, rubidium; Cu, copper; Se, selenium; Ge, germanium; Ag, silver; Zn, zinc; Cd, cadmium; Co, cobalt; Y, yttrium; Mo, molybdenum; As, arsenic; Sb, antimony; Ni, nickel; Sn, tin; Nd, neodymium; Pr, praseodymium; La, lanthanum; Al, aluminum; Ce, cerium; Li, lithium; Pb, lead; Ba, barium; Cr, chromium; Sr, strontium; Mn, manganese; U, uranium.

    Figure  2.  Mediation effect of anti-Müllerian hormone (AMH) in the association between copper levels in follicular fluid and polycystic ovary syndrome (PCOS) risk, adjusted by age and body mass index.

    Table  1.   Population characteristics of women (with) cases and without PCOS (controls)

    Variables N Controls, n = 896 Cases, n = 200 Pa
    Age (25–37 years), n (%) 1,096 < 0.001*
    < 35 710 (79) 181 (90)
    ≥ 35 186 (21) 19 (10)
    BMI (kg/m2), mean ± SD 1,096 22.7 ± 2.4 23.7 ± 2.6 < 0.001*
    Occupation, n (%) 1,096 0.065
    Non-workers 756 (84) 158 (79)
    Workers 140 (16) 42 (21)
    Residence, n (%) 1,096 > 0.9
    Shandong 892 (99.6) 200 (100)
    Others 4 (0.4) 0 (0)
    Education, n (%) 1,096 0.664
    Bachelor’s degree or above 272 (30) 61 (30)
    High school, technical secondary school, college, and junior college 450 (50) 108 (54)
    Junior high school 166 (19) 30 (15)
    Primary school 8 (1) 1 (1)
      Note. PCOS, polycystic ovary syndrome; BMI, body mass index; *P < 0.05. aPearson’s chi-squared test or Fisher’s exact test for categorical variables; Student’s t-test for continuous variables.
    下载: 导出CSV

    Table  2.   Metal(loid) levels in follicular fluid of PCOS case and non-PCOS control groups

    Metal(loid)sa Detection rate (%) Control, n = 896 (ng/mL) PCOS cases, n = 200 (ng/mL) Pc
    As 73 1.70 (0.71, 3.03)b 1.52 (0.71, 2.47)b 0.033*
    Cu 100 789 (678, 905) 904 (764, 1,076) < 0.001*
    Zn 100 454 (398, 519) 481 (422, 543) < 0.001*
    Pb 82 0.43 (0.28, 0.73) 0.43 (0.27, 0.68) 0.694
    Cd 99 0.40 (0.28, 0.55) 0.42 (0.25, 0.57) 0.817
    Hg 82 0.23 (0.16, 0.32) 0.25 (0.16, 0.34) 0.282
    Sb 97 0.17 (0.12, 0.22) 0.17 (0.12, 0.22) 0.578
    Cr 100 0.79 (0.55, 1.82) 0.71 (0.53, 1.56) 0.133
    Mn 100 1.41 (0.98, 2.13) 1.41 (0.98, 2.06) 0.677
    Co 100 0.50 (0.35, 0.67) 0.47 (0.33, 0.63) 0.061
    Mo 100 2.09 (1.65, 2.59) 2.01 (1.58, 2.54) 0.149
    Se 100 54 (46, 63) 55 (47, 64) 0.326
    Ge 100 4.18 (3.32, 5.74) 4.18 (3.28, 5.86) 0.624
    Ni 100 3.64 (2.70, 5.14) 3.65 (2.68, 4.87) 0.842
    Sn 96 0.39 (0.28, 0.54) 0.41 (0.27, 0.55) 0.635
    Al 100 25 (19, 32) 25 (18, 32) 0.618
    Ti 99 3.31 (2.39, 4.27) 3.21 (2.17, 4.40) 0.295
    Li 68 0.67 (0.38, 0.90) 0.66 (0.38, 0.89) 0.601
    Cs 100 0.66 (0.52, 0.82) 0.64 (0.53, 0.77) 0.348
    Rb 100 140 (122, 156) 137 (120, 154) 0.275
    Ag 99 0.27 (0.20, 0.35) 0.27 (0.20, 0.36) 0.739
    U 85 0.008 (0.005, 0.012) 0.008 (0.005, 0.012) 0.244
    Sr 100 41 (35, 47) 40 (35, 47) 0.691
    Ba 100 4.54 (2.49, 7.12) 4.93 (2.47, 7.16) 0.980
    La 96 0.04 (0.03, 0.06) 0.04 (0.03, 0.06) 0.786
    Ce 100 0.09 (0.06, 0.12) 0.09 (0.06, 0.12) 0.662
    Pr 100 0.02 (0.01, 0.03) 0.02 (0.01, 0.03) 0.665
    Nd 82 0.11 (0.07, 0.15) 0.11 (0.08, 0.16) 0.348
    Y 99 0.20 (0.13, 0.29) 0.21 (0.12, 0.28) 0.613
      Note. Data were represented as median (Q25, Q75). PCOS, polycystic ovary syndrome; *P < 0.05. aAs, arsenic; Cu, copper; Zn, zinc; Pb, lead; Cd, cadmium; Hg, mercury; Sb, antimony; Cr, chromium; Mn, manganese; Co, cobalt; Mo, molybdenum; Se, selenium; Ge, germanium; Ni, nickel; Sn, tin; Al, aluminum; Ti, titanium; Li, lithium; Cs, cesium; Rb, rubidium; Ag, silver; U, uranium; Sr, strontium; Ba, barium; La, lanthanum; Ce, cerium; Pr, praseodymium; Nd, neodymium; Y, yttrium. bMedian (interquartile range). cMann-Whitney U test.
    下载: 导出CSV

    Table  3.   Serum levels of clinical indicators in the PCOS case and non-PCOS control groups

    Clinical indicatorsaControlPCOS casesPb
    Median (IQR)nMedian (IQR)n
    AMH (ng/mL)3.4 (2.2, 4.9)8928.0 (5.5, 13.4)199< 0.001*
    E2 (pg/mL)35 (27, 45)89637 (30, 47)2000.035*
    LH (mIU/mL)5.1 (3.9, 6.5)8967.9 (5.7, 11.9)200< 0.001*
    FSH (mIU/mL)6.7 (5.8, 7.8)8965.9 (5.2, 6.9)200< 0.001*
    T (ng/mL)0.24 (0.17, 0.33)8940.39 (0.26, 0.50)199< 0.001*
    P (ng/mL)0.39 (0.28, 0.52)8950.33 (0.23, 0.43)200< 0.001*
    PRL (ng/mL)18 (14, 24)89316 (13, 21)1990.004*
    TSH (mIU/L)2.0 (1.5, 2.7)8952.2 (1.7, 3.0)2000.006*
    FT4 (pmol/L)16 (15, 18)89617 (15, 18)2000.869
    FT3 (pmol/L)4.9 (4.5, 5.2)8954.9 (4.5, 5.3)2000.151
    TG-Ab (IU/mL)12 (7, 19)87311 (7, 16)1960.398
    A-TPO (IU/mL)15 (10, 21)87514 (10, 19)1950.175
    TRAb (IU/L)0.21 (0.21, 0.58)8610.32 (0.21, 0.61)1910.120
    25(OH)D (ng/mL)14 (11, 19)88715 (11, 19)1970.683
      Note. PCOS, polycystic ovary syndrome; IQR, interquartile range; *P < 0.05. aAMH, anti-Müllerian hormone; E2, estradiol; LH, luteinizing hormone; FSH, follicle-stimulating hormone; T, testosterone; P, progesterone; PRL, prolactin; TSH, thyroid-stimulating hormone; FT4, free thyroxine; FT3, free triiodothyronine; TG-Ab, anti-thyroglobulin antibody; A-TPO, anti-thyroid peroxidase antibody; TRAb, thyrotropin receptor antibody; 25(OH)D, 25-hydroxyvitamin D. bMann-Whitney U test.
    下载: 导出CSV

    Table  4.   Associations between metal(loid) levels and PCOS risk

    Metal(loid)sModel 1cModel 2dModel 3e
    aOR (95% CI)PaOR (95% CI)PaOR (95% CI)P
    Cua
    LowRefRefRefRefRefRef
    High2.17 (1.53–3.07)< 0.001*2.04 (1.42–2.91)< 0.001*2.17 (1.53–3.07)< 0.001*
    Zna
    LowRefRefRefRef
    High1.51 (1.09–2.08)0.013*1.28 (0.91–1.78)0.152
    Cub
    Q1RefRefRefRefRefRef
    Q21.04 (0.59–1.81)0.9011.01 (0.57–1.77)0.9761.09 (0.62–1.90)0.764
    Q31.45 (0.86–2.44)0.1631.43 (0.83-2.45)0.1951.55 (0.92-2.62)0.103
    Q42.94 (1.83–4.72)< 0.001*2.86 (1.73–4.73)< 0.001*3.14 (1.95–5.08)< 0.001*
    Znb
    Q1RefRefRefRef
    Q21.40 (0.85–2.30)0.1881.26 (0.75–2.11)0.377
    Q31.72 (1.07–2.76)0.026*1.38 (0.83–2.28)0.212
    Q41.89 (1.18–3.03)0.008*1.47 (0.88–2.45)0.138
    As b
    Q1RefRefRefRefRefRef
    Q20.76 (0.50–1.18)0.2250.70 (0.45–1.10)0.1180.71 (0.45–1.10)0.125
    Q30.99 (0.66–1.48)0.9550.91 (0.60–1.39)0.6670.87 (0.57–1.32)0.514
    Q40.55 (0.34–0.89)0.014*0.49 (0.30–0.80)0.005*0.49 (0.30–0.80)0.004*
    Tib
    Q1RefRefRefRef
    Q20.71 (0.46–1.10)0.1280.83 (0.53–1.30)0.408
    Q30.61 (0.39–0.95)0.029*0.72 (0.45–1.15)0.164
    Q40.85 (0.56–1.29)0.4571.01 (0.65–1.58)0.959
    Lab
    Q1RefRefRefRef
    Q20.62 (0.39–0.97)0.037*0.51 (0.32–0.82)0.005*
    Q30.76 (0.49–1.17)0.2090.66 (0.42–1.04)0.070
    Q40.79 (0.52–1.21)0.2810.70 (0.44–1.11)0.135
      Note. PCOS, polycystic ovary syndrome; Cu, copper; Zn, zinc; As, arsenic; Ti, titanium; La, lanthanum; aOR, adjusted odds ratio; CI, confidence interval; BMI, body mass index; *P < 0.05. aMetal(loid)s were divided into two levels (low and high) based on the medians of the control group. bMetal(loid)s were divided into four levels (Q1, Q2, Q3, and Q4) based on the quartiles of the control group. cModel 1: single-metal(loid) logistic regression model, adjusted for age and BMI. dModel 2: multi-metal(loid) logistic regression model, adjusted for age and BMI; 1) two-level, Cu and Zn were included; 2) four-level, Cu, Zn, As, Ti, and La were included. eModel 3: multi-metal(loid) logistic regression model with the stepwise method; 1) two -level, Cu and Zn were included, with Cu kept in the model, adjusted for age and BMI; 2) four-level, Cu, Zn, As, Ti, and La were included, with Cu and As kept in the model, adjusted for age and BMI.
    下载: 导出CSV

    S2.   Spearman correlations between copper levels in follicular fluid and clinical indicators

    Clinical indicators r P N
    AMH 0.211 < 0.001 1,091
    LH 0.119 < 0.001 1,096
    FSH −0.133 < 0.001 1,096
    T 0.131 < 0.001 1,093
    FT3 0.063 0.038 1,095
      Note. AMH, anti-Müllerian hormone; LH, luteinizing hormone; FSH, follicle-stimulating hormone; T, testosterone; FT3, free triiodothyronine; r, correlation coefficient; P, P-value; N, sample size.
    下载: 导出CSV

    S4.   Metal(loid) levels in follicular fluid or serum of women from other populations

    References Regions Mediaa Groupsb Metal(loid)sc, ng/mL
    Cu Cr Se Zn Mn Pb Hg As Ti Li Sr Mo
    (Sun et al., 2019)[3] Fujian
    China
    FF Control 920.91 ±
    305.89
    124.09 ±
    86.76
    85.98 ± 22.34 479.69 ±
    218.92
    37.64 ±
    9.39
    200.07 ±
    84.85
    2.78 ±
    0.67
    32.15 ±
    13.05
    1.10 ±
    1.05
    PCOS 1,064.53 ±
    243.75
    133.37 ±
    41.90
    91.27 ± 20.75 527.77 ±
    236.70
    35.98 ±
    9.36
    164.83 ±
    49.77
    2.75 ±
    0.52
    34.01 ±
    12.38
    1.71 ±
    3.13
    FTO 877.98 ±
    239.73
    97.75 ±
    53.09
    80.13 ± 19.70 506.83 ±
    278.30
    33.72 ±
    9.50
    216.99 ±
    101.99
    2.24 ±
    0.56
    28.05 ±
    9.76
    1.22 ±
    1.94
    (Schmalbrock
    et al., 2021) [4]
    Dobl
    Austria
    FF 1 Subfertile 555 ± 191 23 ± 10 474 ± 118
    PCOS 518 ± 267 19 ± 11 402 ± 164
    2 Subfertile 683 ± 289 31 ± 26 569 ± 144
    PCOS 682 ± 381 24 ± 11 572 ± 231
    3 Subfertile 516 ± 185 24 ± 14 571 ± 111
    PCOS 479 ± 179 22 ± 5 419 ± 142
    4 Subfertile 619 ± 176 26 ± 11 536 ± 170
    PCOS 652 ± 276 24 ± 11 467 ± 174
    5 Subfertile 507 ± 190 22 ± 11 503 ± 167
    PCOS 742 ± 318 27 ± 12 591 ± 220
    (Li et al., 2017) [5] Guangxi
    China
    Serum Control 1,152 (992−
    1,400)
    PCOS 1,273 (1,078−
    1,536)
    (Zhang et al., 2022)[6] Beijing
    China
    Serum Control 1,320 ± 40 1.19 (0.708−
    2.07)
    80.06 ± 2.52 860
    (750−1,010)
    3.45
    (2.37−
    5.64)
    2.49
    (1.30−
    6.20)
    0.104
    (0.104−
    0.104)
    PCOS 1,480 ± 55 2.58 (1.01−
    9.31)
    77.31 ± 2.01 805
    (665−1,120)
    3.31
    (2.10−
    7.82)
    2.31
    (1.14−
    8.47)
    0.350
    (0.104−
    0.633)
    (Kanafchian
    et al., 2020) [7]
    Babol
    Iran
    Serum Control 1,870 (1,540−
    2,140)
    PCOS 2,060 (1,790−
    2,480)
      Note. Data was presented as mean ± standard deviation or median (interquartile range). a FF, follicular fluid. b PCOS, polycystic ovary syndrome; FTO, fallopian tube obstruction. c Cu, copper; Cr, chromium; Se, selenium; Zn, zinc; Mn, manganese; Pb, lead; Hg, mercury; As, arsenic; Ti, titanium; Li, lithium; Sr, strontium; Mo, molybdenum.
    下载: 导出CSV
  • [1] Azziz R, Carmina E, Chen ZJ, et al. Polycystic ovary syndrome. Nat Rev Dis Primers, 2016; 2, 16057. doi:  10.1038/nrdp.2016.57
    [2] Nieder R, Benbi DK, Reichl FX. Microelements and their role in human health. In: Nieder R, Benbi DK, Reichl FX. Soil Components and Human Health. Springer, 2018; 317–74.
    [3] Dutta S, Gorain B, Choudhury H, et al. Environmental and occupational exposure of metals and female reproductive health. Environ Sci Pollut Res, 2022; 29, 6206792. doi:  10.1007/s11356-021-16581-9
    [4] Liang CM, Zhang ZK, Cao Y, et al. Exposure to multiple toxic metals and polycystic ovary syndrome risk: endocrine disrupting effect from As, Pb and Ba. Sci Total Environ, 2022; 849, 157780. doi:  10.1016/j.scitotenv.2022.157780
    [5] Merlo E, Schereider IRG, Simões MR, et al. Mercury leads to features of polycystic ovary syndrome in rats. Toxicol Lett, 2019; 312, 4554. doi:  10.1016/j.toxlet.2019.05.006
    [6] Valkenburg O, Uitterlinden AG, Piersma D, et al. Genetic polymorphisms of GnRH and gonadotrophic hormone receptors affect the phenotype of polycystic ovary syndrome. Hum Reprod, 2009; 24, 201422. doi:  10.1093/humrep/dep113
    [7] Schmidt J, Brännström M, Landin-Wilhelmsen K, et al. Reproductive hormone levels and anthropometry in postmenopausal women with polycystic ovary syndrome (PCOS): a 21-year follow-up study of women diagnosed with PCOS around 50 years ago and their age-matched controls. J Clin Endocrinol Metab, 2011; 96, 217885. doi:  10.1210/jc.2010-2959
    [8] Rami Y, Ebrahimpour K, Maghami M, et al. The association between heavy metals exposure and sex hormones: a systematic review on current evidence. Biol Trace Elem Res, 2022; 200, 3491510. doi:  10.1007/s12011-021-02947-0
    [9] Wang X, Ding N, Harlow SD, et al. Exposure to heavy metals and hormone levels in midlife women: the Study of Women's Health Across the Nation (SWAN). Environ Pollut, 2023; 317, 120740. doi:  10.1016/j.envpol.2022.120740
    [10] Pollack AZ, Schisterman EF, Goldman LR, et al. Cadmium, lead, and mercury in relation to reproductive hormones and anovulation in premenopausal women. Environ Health Perspect, 2011; 119, 115661. doi:  10.1289/ehp.1003284
    [11] Krieg EF Jr. The relationships between blood lead levels and serum follicle stimulating hormone and luteinizing hormone in the third National Health and Nutrition Examination Survey. Environ Res, 2007; 104, 37482. doi:  10.1016/j.envres.2006.09.009
    [12] Garg D, Tal R. The role of AMH in the pathophysiology of polycystic ovarian syndrome. Reprod Biomed Online, 2016; 33, 1528. doi:  10.1016/j.rbmo.2016.04.007
    [13] Wiweko B, Maidarti M, Priangga MD, et al. Anti-mullerian hormone as a diagnostic and prognostic tool for PCOS patients. J Assist Reprod Genet, 2014; 31, 13116. doi:  10.1007/s10815-014-0300-6
    [14] Eilertsen TB, Vanky E, Carlsen SM. Anti-Mullerian hormone in the diagnosis of polycystic ovary syndrome: can morphologic description be replaced? Hum Reprod, 2012; 27, 2494–502.
    [15] Li MS, Zhuang LL, Zhang GH, et al. Association between exposure of light rare earth elements and outcomes of in vitro fertilization-embryo transfer in North China. Sci Total Environ, 2021; 762, 143106. doi:  10.1016/j.scitotenv.2020.143106
    [16] Sun Y, Wang WX, Guo YW, et al. High copper levels in follicular fluid affect follicle development in polycystic ovary syndrome patients: population-based and in vitro studies. Toxicol Appl Pharmacol, 2019; 365, 10111. doi:  10.1016/j.taap.2019.01.008
    [17] Kanafchian M, Esmaeilzadeh S, Mahjoub S, et al. Status of serum copper, magnesium, and total antioxidant capacity in patients with polycystic ovary syndrome. Biol Trace Elem Res, 2020; 193, 1117. doi:  10.1007/s12011-019-01705-7
    [18] Zhang CM, Xu L, Zhao Y, et al. Changes in serum heavy metals in polycystic ovary syndrome and their association with endocrine, lipid-metabolism, inflammatory characteristics and pregnancy outcomes. Reprod Toxicol, 2022; 111, 206. doi:  10.1016/j.reprotox.2022.05.002
    [19] Kurdoglu Z, Kurdoglu M, Demir H, et al. Serum trace elements and heavy metals in polycystic ovary syndrome. Hum Exp Toxicol, 2012; 31, 4526. doi:  10.1177/0960327111424299
    [20] Zheng GC, Wang LJ, Guo ZZ, et al. Association of serum heavy metals and trace element concentrations with reproductive hormone levels and polycystic ovary syndrome in a Chinese population. Biol Trace Elem Res, 2015; 167, 110. doi:  10.1007/s12011-015-0294-7
    [21] Cook CL, Siow Y, Brenner AG, et al. Relationship between serum müllerian-inhibiting substance and other reproductive hormones in untreated women with polycystic ovary syndrome and normal women. Fertil Steril, 2002; 77, 1416. doi:  10.1016/S0015-0282(01)02944-2
    [22] Pigny P, Jonard S, Robert Y, et al. Serum anti-Mullerian hormone as a surrogate for antral follicle count for definition of the polycystic ovary syndrome. J Clin Endocrinol Metab, 2006; 91, 9415. doi:  10.1210/jc.2005-2076
    [23] Sharma P, Gupta V, Kumar K, et al. Assessment of serum elements concentration and polycystic ovary syndrome (PCOS): systematic review and meta-analysis. Biol Trace Elem Res, 2022; 200, 458293. doi:  10.1007/s12011-021-03058-6
    [24] Zuo T, Zhu MH, Xu WM. Roles of oxidative stress in polycystic ovary syndrome and cancers. Oxid Med Cell Longev, 2016; 2016, 8589318. doi:  10.1155/2016/8589318
    [25] Yin JC, Hong X, Ma J, et al. Serum trace elements in patients with polycystic ovary syndrome: a systematic review and meta-analysis. Front Endocrinol, 2020; 11, 572384. doi:  10.3389/fendo.2020.572384
    [26] Zhang LH, Luo Z, Song YF, et al. Effects and mechanisms of waterborne copper exposure influencing ovary development and related hormones secretion in yellow catfish Pelteobagrus fulvidraco. Aquat Toxicol, 2016; 178, 8898. doi:  10.1016/j.aquatox.2016.07.014
    [27] Michaluk A, Kochman K. Involvement of copper in female reproduction. Reprod Biol, 2007; 7, 193205.
    [28] Kochman K, Blitek A, Kaczmarek M, et al. Different signaling in pig anterior pituitary cells by GnRH and its complexes with copper and nickel. Neuro Endocrinol Lett, 2005; 26, 37782.
    [29] Roychoudhury S, Nath S, Massanyi P, et al. Copper-induced changes in reproductive functions: in vivo and in vitro effects. Physiol Res, 2016; 65, 1122.
    [30] Streuli I, Fraisse T, Chapron C, et al. Clinical uses of anti-Müllerian hormone assays: pitfalls and promises. Fertil Steril, 2009; 91, 22630. doi:  10.1016/j.fertnstert.2007.10.067
    [31] Cimino I, Casoni F, Liu XH, et al. Novel role for anti-Müllerian hormone in the regulation of GnRH neuron excitability and hormone secretion. Nat Commun, 2016; 7, 10055. doi:  10.1038/ncomms10055
    [32] Dewailly D, Robin G, Peigne M, et al. Interactions between androgens, FSH, anti-Müllerian hormone and estradiol during folliculogenesis in the human normal and polycystic ovary. Hum Reprod Update, 2016; 22, 70924. doi:  10.1093/humupd/dmw027
    [33] Stener-Victorin E, Deng QL. Epigenetic inheritance of polycystic ovary syndrome—challenges and opportunities for treatment. Nat Rev Endocrinol, 2021; 17, 52133. doi:  10.1038/s41574-021-00517-x
  • [1] Shuai Xiao, Linqiang Gong, Shiyuan Zhao, Xue Chu, Fengfeng Li, Yazhou Zhang, Fangqiang Song, Pei Jiang.  Metabolomic Changes in Mice Induced by Copper Exposure: Systematic Analysis and Exploration of Toxicity Mechanisms . Biomedical and Environmental Sciences, 2025, 38(1): 106-111. doi: 10.3967/bes2024.179
    [2] Xiaoyun Shan, Yuting Li, Xiayu Zhao, Yichun Hu, Siran Li, Huidi Zhang, Yang Cao, Rui Wang, Lichen Yang.  Threshold-Effect Associations of Serum 25-hydroxyvitamin D on Bone Turnover Markers and GC rs2282679 Variants in Chinese Women of Childbearing Age . Biomedical and Environmental Sciences, 2025, 38(4): 433-446. doi: 10.3967/bes2024.151
    [3] Liang Zhang, Qian Han, Meiru Bao, Ying Wu.  Impact of Endometrial Polyps on Pregnancy Outcomes in Patients with Endometriosis and Infertility: A Systematic Review and Meta-analysis . Biomedical and Environmental Sciences, 2025, 38(3): 341-350. doi: 10.3967/bes2024.175
    [4] SHAN Xiao Yun, ZOU Yan, HUANG Li Chun, JIANG Shan, ZHOU Wei Wen, QIN Qiu Lan, LIU Chang Qing, LUO Xiao Yan, LU Jia Xi, MAO De Qian, LI Min, YANG Zhen Yu, YANG Li Chen.  Iodine Nutrition, Thyroid-stimulating Hormone, and Related Factors of Postpartum Women from three Different Areas in China: A Cross-sectional Survey . Biomedical and Environmental Sciences, 2024, 37(3): 254-265. doi: 10.3967/bes2024.029
    [5] Growth Standard for Newborns by Gestational Age . Biomedical and Environmental Sciences, 2023, 36(7): 665-665. doi: 10.3967/bes2023.097
    [6] WU Peng Fei, LI Rui Zhuo, ZHANG Wan, SU Zhong Zhen, LIN Yu Hong.  Polycystic Ovary Syndrome is not Associated with Offspring Birth Weight: A Mendelian Randomization Study . Biomedical and Environmental Sciences, 2021, 34(2): 170-174. doi: 10.3967/bes2021.023
    [7] GAI Xiao Yan, CHI Hong Bin, ZENG Lin, CAO Wen Li, CHEN Li Xue, ZHANG Chen, LU Ming, NING Lan Ding, CHANG Chun, ZHANG Wei Xia, LIU Ping, LI Rong, SUN Yong Chang, QIAO Jie.  Untreated Prior Pulmonary Tuberculosis Adversely Affects Pregnancy Outcomes in Infertile Women Undergoing in vitro Fertilization and Embryo Transfer: A Large Retrospective Cohort Study . Biomedical and Environmental Sciences, 2021, 34(2): 130-138. doi: 10.3967/bes2021.019
    [8] YAO Yan, LIU Hua Min, WANG Xian Wei, FENG Xia, GAO Li Jian, LI Dong, ZHOU Yong.  Effect of Body Mass Index on the Associations between Parity and Metabolic Syndrome and its Components among Northern Chinese Women . Biomedical and Environmental Sciences, 2020, 33(1): 11-18. doi: 10.3967/bes2020.002
    [9] Hajer BEN SAAD, Fatma BEN ABDALLAH, Intidhar BKHAIRIA, Ons BOUDAWARA, Moncef NASRI, Ahmed HAKIM, Ibtissem BEN AMARA.  Efficacy of Essential Trace Elements Supplementation on Mineral Composition, Sperm Characteristics, Antioxidant Status, and Genotoxicity in Testis of Tebuconazole-treated Rats . Biomedical and Environmental Sciences, 2020, 33(10): 760-770. doi: 10.3967/bes2020.101
    [10] Fatma Guesmi, Hamida Beghalem, Amit K Tyagi, Manel Ben Ali, Ramla Ben Mouhoub, Houda Bellamine, Ahmed Landoulsi.  Prevention of H2O2 Induced Oxidative Damages of Rat Testis by Thymus algeriensis . Biomedical and Environmental Sciences, 2016, 29(4): 275-285. doi: 10.3967/bes2016.035
    [11] ZHAO Ming Xu, ZHOU Guo Yu, ZHU Jing Yuan, GONG Biao, HOU Jia Xiang, ZHOU Tong, DUAN Li Ju, DING Zhong, CUI Liu Xin, BA Yue.  Fluoride Exposure, Follicle Stimulating Hormone Receptor Gene Polymorphism and Hypothalamus-pituitary-ovarian Axis Hormones in Chinese Women . Biomedical and Environmental Sciences, 2015, 28(9): 696-700. doi: 10.3967/bes2015.099
    [12] LI Mian, WANG Tian Ge, XU Yu, ZHANG Jie, XU Bai Hui, XU Min, CHEN Yu Hong, LU Jie Li, Bi Yu Fang, WANG Wei Qing, GU Yan Yun, NING Guang.  Association of Bisphenol A Exposure with Circulating Sex Hormone Concentrations in Men and Postmenopausal Women . Biomedical and Environmental Sciences, 2014, 27(8): 633-636. doi: 10.3967/bes2014.096
    [13] Arjun L KHANDARE, Uday KUMAR, Priyanka SHANKAR, Shanker RAO.  Copper Ameliorates Fluoride Toxicity in Fluoride and Molybdenum Fed Rabbits . Biomedical and Environmental Sciences, 2013, 26(4): 311-313. doi: 10.3967/0895-3988.2013.04.010
    [14] MIAO Zhu Lin, GUO Liang, WANG Yong Xia, CUI Rong, YANG Ning, HUANG Mi Qiong, QIN Wei Bing, CHEN Jin, LI Hong Mei, WANG Zi Neng, WEI Xiang Cai.  The Intervention Effect of Rosiglitozone in Ovarian Fibrosis of PCOS Rats . Biomedical and Environmental Sciences, 2012, 25(1): 46-52. doi: 10.3967/0895-3988.2012.01.007
    [15] BO YU, QING-FENG CHEN, ZHAO-PING LIU, HE-FEI XU, XIAO-PENG ZHANG, QAIN XIANG, WEN-ZHONG ZHANG, WEN-MING CUI, XIN ZHANG, NING LI.  Estrogen Receptor α and βExpressions in Hypothalamus-pituitary-ovary Axis in Rats Exposed Lactationally to Soy Isoflavones and Bisphenol A . Biomedical and Environmental Sciences, 2010, 23(5): 357-362.
    [16] XUE-WEN ZHANG, RONG-GUI LI, XIN WANG, SHUAN-HU ZHOU.  Effects of Copper-phenanthroline on Pentschlorophenol-induced Adaptation and Cell Death of Escherichia coli . Biomedical and Environmental Sciences, 2007, 20(2): 106-112.
    [17] JUN HE, JIAN-FENG CHEN, RU LIU, LIN SONG, HEBRON C. CHANG, XIN-RU WANG.  Fenvalerate-induced Alterations in Calcium Homeostasis in Rat Ovary . Biomedical and Environmental Sciences, 2006, 19(1): 15-20.
    [18] SHU-JUAN SUN, JIAN XU, SHU-GUI DAI, XUE HAN.  Influences of Copper Speciation on Toxicity to Microorganisms in Soils . Biomedical and Environmental Sciences, 2006, 19(6): 409-413.
    [19] KAI LU, LIANG DING, HONG-WEI WANG, HAI-NING JING, XIAO-NING ZHAO, SHAO-BIN LIN, YA-DONG LI, YIN-LONG JIN, FENG-MAO LIU, SHU-REN JIANG.  Health Safety of Main Water Pipe Materials Supplied in China Market . Biomedical and Environmental Sciences, 2006, 19(2): 110-117.
    [20] K.Krishnamurthi, Font Devi, T.Chakrabarti.  Genotoxic Effects of PAH Containing Sludge Extracts in Chinese Hamster Ovary Cell Cultures . Biomedical and Environmental Sciences, 2003, 16(1): 68-82.
  • 24005+Supplementary Materials.pdf
  • 加载中
图(2) / 表ll (6)
计量
  • 文章访问数:  486
  • HTML全文浏览量:  213
  • PDF下载量:  51
  • 被引次数: 0
出版历程
  • 收稿日期:  2024-04-22
  • 录用日期:  2024-06-04
  • 网络出版日期:  2024-11-05
  • 刊出日期:  2024-10-20

Association between Metal(loid) Exposure and Risk of Polycystic Ovary Syndrome Mediated by Anti-Müllerian Hormone among Women Undergoing In Vitro Fertilization and Embryo Transfer

doi: 10.3967/bes2024.154
    基金项目:  This work was supported by the National Key Research & Development Program of the Ministry of Science and Technology of China [Grant No. 2022YFE0134900; 2023YFC3708305]; the Strategy Priority Research Program (Category B) of Chinese Academy of Sciences [No. XDB0750300]; the Yunnan Major Scientific and Technological Projects [Grant No. 202202AG050019]; and the National Natural Science Foundation of China [Grant No. 42077390].
    作者简介:

    Shu Su, female, born in 1990, PhD, majoring in human exposure to emerging environmental pollutants

    通讯作者: Dr. Bin Wang, E-mail: binwang@pku.edu.cnDr. Hongchu Bao, E-mail: bhch1005@126.com
注释:
1) AUTHOR CONTRIBUTIONS: 2) COMPETING INTERESTS:

English Abstract

Azziz R, Carmina E, Chen ZJ, et al. Polycystic ovary syndrome. Nat Rev Dis Primers, 2016; 2, 16057. doi:  10.3967/bes2024.154
Citation: Azziz R, Carmina E, Chen ZJ, et al. Polycystic ovary syndrome. Nat Rev Dis Primers, 2016; 2, 16057. doi:  10.3967/bes2024.154
    • Polycystic ovary syndrome (PCOS) is one of the most common causes of infertility in women of childbearing age, affecting 5%–20% of women worldwide and representing a substantial health burden[1]. Some essential microelements, such as copper (Cu) and zinc (Zn), are implicated in several physiological functions. A deficiency or excess of these elements adversely affects female reproductive health[2]. Heavy metals such as mercury (Hg), lead (Pb), and cadmium (Cd), which are commonly present in the environment, can adversely affect female health even at the relatively low levels[3]. Associations between metal(loid) exposure and PCOS risk have been previously reported. The joint effects of Pb, Hg, Cd, arsenic (As), and barium (Ba) on PCOS risk were observed in a Chinese population, of which major contributions may be attributed to As and Pb exposure[4]. In a female rat model, Hg exposure (approximately 8 ng/mL in the serum) induced reproductive and metabolic abnormalities similar to a PCOS-like phenotype[5]. Given that the evidence demonstrating the associations between metal(loid) exposure and PCOS risk is limited and inconsistent, comprehensive research on more metal(loid)s is warranted.

      The pathogenesis of PCOS remains unclear; however, disturbances in the hypothalamic-pituitary-ovarian (HPO) axis may contribute to its development[6]. Elevated circulating levels of luteinizing hormone (LH), low-to-normal levels of follicle-stimulating hormone (FSH), and increased androgen levels are often observed in PCOS patients, serving as potential clinical indicators for investigating its pathogenesis[6,7]. Some heavy metals (e.g., Pb, Cd, and Hg) may act as endocrine-disrupting agents, altering hormone homeostasis, including reproductive hormone levels[4,8,9]. In premenopausal women, a negative association between circulating Cd and FSH levels, and a positive association between circulating Pb and progesterone levels were observed[10]. Elevated serum FSH levels were also observed along with higher blood Pb levels in both premenopausal and postmenopausal women[11]. Changes in circulating hormone levels may be important indicators for investigating the associations between metal(loid) exposure and PCOS risk.

      Among several hormones, the anti-Müllerian hormone (AMH), a member of the transforming growth factor-β superfamily, has gained considerable attention regarding its potential involvement in PCOS pathogenesis[12]. Serum levels of AMH, LH, and FSH were identified as potential diagnostic markers of PCOS in previous studies, with AMH showing the highest association[13]. It has been considered that AMH levels can be listed as one of the important diagnostic criteria for PCOS, although a consensus on cutoff values has not yet been reached[13,14].

      In epidemiological studies, serum samples are typically used to determine internal metal(loid) exposure levels of a population. However, the entry of metal(loid)s into the follicular microenvironment may be affected by the selective permeability of the blood-follicle barrier. Follicular fluid (FF) is considered a better medium than serum to represent ovarian metal(loid) exposure levels. This study aimed to explore the relationship and possible pathways between metal(loid) exposure and PCOS risk. FF samples from a large population of women of childbearing age (25–37 years, with or without PCOS) were analyzed to obtain a better characterization of ovarian exposure profiles. In addition, several clinical indicators were evaluated, and an exploratory mediation analysis was performed to evaluate the possible roles of these indicators in the relationship between metal(loid) exposure and PCOS risk.

    • This retrospective case-control study, conducted between 2018 and 2021, included women who had undergone in vitro fertilization-embryo transfer or intracytoplasmic sperm injection-embryo transfer treatments at Yantai Yuhuangding Hospital (Shandong Province, China). In total, 200 participants with PCOS (cases) and 896 non-PCOS controls (total, 1,096) were loosely matched to increase the sample size. Women aged 25–37 years with a body mass index (BMI) of 18.5–28 kg/m2 were included. PCOS was diagnosed according to the Rotterdam criteria. Details of the study design are provided in Section S1 (available in www.besjournal.com) of Supporting Information. For each participant, FF collected from the first large follicle was used for metal(loid) analysis. The demographic information of the study participants was extracted from their clinical diagnosis records using their unique medical record numbers.

    • FF was collected during oocyte retrieval and stored at –80 °C prior to analysis. In total, 29 metal(loid)s in FF were analyzed using inductively coupled plasma mass spectrometry (ICP-MS). The detailed analysis method was described previously[15]. Briefly, 100 μL of FF was spiked with 100 μL of mixed internal standards [i.e., rhodium (Rh), indium (In), and rhenium (Re)], digested with 1.8 mL of 1% nitric acid, and then thoroughly mixed. Titanium (Ti), manganese (Mn), selenium (Se), chromium (Cr), and As were analyzed using an Agilent 7700x ICP-MS instrument (Agilent Technologies, Santa Clara, CA, USA). Aluminum (Al), germanium (Ge), strontium (Sr), lithium (Li), cobalt (Co), nickel (Ni), molybdenum (Mo), silver (Ag), tin (Sn), antimony (Sb), cesium (Cs), uranium (U), rubidium (Rb), lanthanum (La), cerium (Ce), praseodymium (Pr), neodymium (Nd), yttrium (Y), Zn, Pb, Ba, Cd, Hg, and Cu were analyzed using an Elan DRC II ICP-MS instrument (Perkin-Elmer Sciex, Waltham, MA, USA). Concentrations below the limit of detection (LOD) were replaced with a value equal to LOD divided by the square root of 2 (LOD/√2).

    • Baseline blood samples were collected on the 2nd or 3rd day of the menstrual cycle or vaginal bleeding after drug withdrawal and centrifuged for analysis of clinical indicators. Determination of 14 clinical indicators in serum was performed at Yantai Yuhuangding Hospital, including AMH, LH, FSH, progesterone, estradiol (E2), testosterone (T), prolactin (PRL), thyroid-stimulating hormone (TSH), free thyroxine (FT4), free triiodothyronine (FT3), anti-thyroglobulin antibody (TG-Ab), anti-thyroid peroxidase antibody (A-TPO), thyrotropin receptor antibody (TRAb), and 25-hydroxyvitamin D (25(OH)D). The chemiluminescence immunoassay was used to measure 25(OH)D levels, whereas other indicators were measured using the electrochemiluminescence immunoassay.

    • Chi-squared test, Student's t-test, or Mann-Whitney U test was used to compare the population characteristics, metal(loid) levels, and clinical indicator levels between the case and control groups. Population characteristics that were unevenly distributed between the groups, namely age and BMI, were considered as covariates when investigating the associations between metal(loid) exposure and PCOS risk and in the mediation analysis. Unconditional logistic regression was used to investigate the associations between metal (loid) levels in the FF and PCOS risk. The mediation analysis was conducted using the R package “mediation.” Spearman’s correlation analysis was used for correlation analysis. A P value < 0.05 indicated statistical significance. All statistical analyses were performed using the R software (ver. 4.2.1).

    • The basic population characteristics are presented in Table 1. Information on the participants’ age, BMI, occupation, residence, and education was collected. No significant differences were observed in occupation, residence, or educational level between the PCOS and non-PCOS groups. Most participants were from Shandong Province, China, with only four exceptions, and approximately 80% had an educational level above junior high school. Compared with the non-PCOS group, participants in the PCOS group were younger (90% aged 25–34 years) with a higher BMI (23.7 ± 2.6 kg/m2).

      Table 1.  Population characteristics of women (with) cases and without PCOS (controls)

      Variables N Controls, n = 896 Cases, n = 200 Pa
      Age (25–37 years), n (%) 1,096 < 0.001*
      < 35 710 (79) 181 (90)
      ≥ 35 186 (21) 19 (10)
      BMI (kg/m2), mean ± SD 1,096 22.7 ± 2.4 23.7 ± 2.6 < 0.001*
      Occupation, n (%) 1,096 0.065
      Non-workers 756 (84) 158 (79)
      Workers 140 (16) 42 (21)
      Residence, n (%) 1,096 > 0.9
      Shandong 892 (99.6) 200 (100)
      Others 4 (0.4) 0 (0)
      Education, n (%) 1,096 0.664
      Bachelor’s degree or above 272 (30) 61 (30)
      High school, technical secondary school, college, and junior college 450 (50) 108 (54)
      Junior high school 166 (19) 30 (15)
      Primary school 8 (1) 1 (1)
        Note. PCOS, polycystic ovary syndrome; BMI, body mass index; *P < 0.05. aPearson’s chi-squared test or Fisher’s exact test for categorical variables; Student’s t-test for continuous variables.
    • Table 2 lists the FF concentrations of the 29 measured metal(loid)s in the PCOS and non-PCOS groups, and their inter-correlations are depicted in Figure 1 and Supplementary Table S1 (available in www.besjournal.com). The detection rates of most metal(loid)s were approximately 100%, except for As and Li, which were below 80%. Strong positive correlations were observed among the rare earth elements La, Ce, Pr, Nd, and Y, and among the essential trace elements Cu, Zn, and Se, as well as Co, Ni, and Mo. Compared with the non-PCOS group, the PCOS group had higher Cu and Zn, and lower As concentrations.

      Table 2.  Metal(loid) levels in follicular fluid of PCOS case and non-PCOS control groups

      Metal(loid)sa Detection rate (%) Control, n = 896 (ng/mL) PCOS cases, n = 200 (ng/mL) Pc
      As 73 1.70 (0.71, 3.03)b 1.52 (0.71, 2.47)b 0.033*
      Cu 100 789 (678, 905) 904 (764, 1,076) < 0.001*
      Zn 100 454 (398, 519) 481 (422, 543) < 0.001*
      Pb 82 0.43 (0.28, 0.73) 0.43 (0.27, 0.68) 0.694
      Cd 99 0.40 (0.28, 0.55) 0.42 (0.25, 0.57) 0.817
      Hg 82 0.23 (0.16, 0.32) 0.25 (0.16, 0.34) 0.282
      Sb 97 0.17 (0.12, 0.22) 0.17 (0.12, 0.22) 0.578
      Cr 100 0.79 (0.55, 1.82) 0.71 (0.53, 1.56) 0.133
      Mn 100 1.41 (0.98, 2.13) 1.41 (0.98, 2.06) 0.677
      Co 100 0.50 (0.35, 0.67) 0.47 (0.33, 0.63) 0.061
      Mo 100 2.09 (1.65, 2.59) 2.01 (1.58, 2.54) 0.149
      Se 100 54 (46, 63) 55 (47, 64) 0.326
      Ge 100 4.18 (3.32, 5.74) 4.18 (3.28, 5.86) 0.624
      Ni 100 3.64 (2.70, 5.14) 3.65 (2.68, 4.87) 0.842
      Sn 96 0.39 (0.28, 0.54) 0.41 (0.27, 0.55) 0.635
      Al 100 25 (19, 32) 25 (18, 32) 0.618
      Ti 99 3.31 (2.39, 4.27) 3.21 (2.17, 4.40) 0.295
      Li 68 0.67 (0.38, 0.90) 0.66 (0.38, 0.89) 0.601
      Cs 100 0.66 (0.52, 0.82) 0.64 (0.53, 0.77) 0.348
      Rb 100 140 (122, 156) 137 (120, 154) 0.275
      Ag 99 0.27 (0.20, 0.35) 0.27 (0.20, 0.36) 0.739
      U 85 0.008 (0.005, 0.012) 0.008 (0.005, 0.012) 0.244
      Sr 100 41 (35, 47) 40 (35, 47) 0.691
      Ba 100 4.54 (2.49, 7.12) 4.93 (2.47, 7.16) 0.980
      La 96 0.04 (0.03, 0.06) 0.04 (0.03, 0.06) 0.786
      Ce 100 0.09 (0.06, 0.12) 0.09 (0.06, 0.12) 0.662
      Pr 100 0.02 (0.01, 0.03) 0.02 (0.01, 0.03) 0.665
      Nd 82 0.11 (0.07, 0.15) 0.11 (0.08, 0.16) 0.348
      Y 99 0.20 (0.13, 0.29) 0.21 (0.12, 0.28) 0.613
        Note. Data were represented as median (Q25, Q75). PCOS, polycystic ovary syndrome; *P < 0.05. aAs, arsenic; Cu, copper; Zn, zinc; Pb, lead; Cd, cadmium; Hg, mercury; Sb, antimony; Cr, chromium; Mn, manganese; Co, cobalt; Mo, molybdenum; Se, selenium; Ge, germanium; Ni, nickel; Sn, tin; Al, aluminum; Ti, titanium; Li, lithium; Cs, cesium; Rb, rubidium; Ag, silver; U, uranium; Sr, strontium; Ba, barium; La, lanthanum; Ce, cerium; Pr, praseodymium; Nd, neodymium; Y, yttrium. bMedian (interquartile range). cMann-Whitney U test.

      Figure 1.  Correlation coefficients among 29 metal(loid)s analyzed in the follicular fluid. ***P < 0.001; **P < 0.01; *P < 0.05; Ti, titanium; Hg, mercury; Cs, cesium; Rb, rubidium; Cu, copper; Se, selenium; Ge, germanium; Ag, silver; Zn, zinc; Cd, cadmium; Co, cobalt; Y, yttrium; Mo, molybdenum; As, arsenic; Sb, antimony; Ni, nickel; Sn, tin; Nd, neodymium; Pr, praseodymium; La, lanthanum; Al, aluminum; Ce, cerium; Li, lithium; Pb, lead; Ba, barium; Cr, chromium; Sr, strontium; Mn, manganese; U, uranium.

    • The serum levels of clinical indicators in the PCOS and non-PCOS groups were also analyzed, including basic sex hormones, thyroid-related indicators, 25(OH)D, and AMH (Table 3). The median serum AMH concentration was approximately two-fold higher in the PCOS group than in the non-PCOS group. Higher serum concentrations of LH, T, and E2 and lower serum concentrations of progesterone, FSH, and PRL were detected in PCOS patients. In terms of thyroid-related indicator and 25(OH)D levels, only TSH levels differed significantly between the PCOS and non-PCOS groups.

      Table 3.  Serum levels of clinical indicators in the PCOS case and non-PCOS control groups

      Clinical indicatorsaControlPCOS casesPb
      Median (IQR)nMedian (IQR)n
      AMH (ng/mL)3.4 (2.2, 4.9)8928.0 (5.5, 13.4)199< 0.001*
      E2 (pg/mL)35 (27, 45)89637 (30, 47)2000.035*
      LH (mIU/mL)5.1 (3.9, 6.5)8967.9 (5.7, 11.9)200< 0.001*
      FSH (mIU/mL)6.7 (5.8, 7.8)8965.9 (5.2, 6.9)200< 0.001*
      T (ng/mL)0.24 (0.17, 0.33)8940.39 (0.26, 0.50)199< 0.001*
      P (ng/mL)0.39 (0.28, 0.52)8950.33 (0.23, 0.43)200< 0.001*
      PRL (ng/mL)18 (14, 24)89316 (13, 21)1990.004*
      TSH (mIU/L)2.0 (1.5, 2.7)8952.2 (1.7, 3.0)2000.006*
      FT4 (pmol/L)16 (15, 18)89617 (15, 18)2000.869
      FT3 (pmol/L)4.9 (4.5, 5.2)8954.9 (4.5, 5.3)2000.151
      TG-Ab (IU/mL)12 (7, 19)87311 (7, 16)1960.398
      A-TPO (IU/mL)15 (10, 21)87514 (10, 19)1950.175
      TRAb (IU/L)0.21 (0.21, 0.58)8610.32 (0.21, 0.61)1910.120
      25(OH)D (ng/mL)14 (11, 19)88715 (11, 19)1970.683
        Note. PCOS, polycystic ovary syndrome; IQR, interquartile range; *P < 0.05. aAMH, anti-Müllerian hormone; E2, estradiol; LH, luteinizing hormone; FSH, follicle-stimulating hormone; T, testosterone; P, progesterone; PRL, prolactin; TSH, thyroid-stimulating hormone; FT4, free thyroxine; FT3, free triiodothyronine; TG-Ab, anti-thyroglobulin antibody; A-TPO, anti-thyroid peroxidase antibody; TRAb, thyrotropin receptor antibody; 25(OH)D, 25-hydroxyvitamin D. bMann-Whitney U test.
    • Table 4 presents the associations between FF metal(loid) concentrations and PCOS risk. When the FF metal(loid) concentrations were classified into two levels, Cu concentrations [adjusted odds ratio (aOR) = 2.17, 95% confidence interval (CI): 1.53–3.07] and Zn concentrations [aOR = 1.51 (95% CI: 1.09–2.08)] had significant associations with PCOS risk after adjusting for age and BMI. When further classified into four levels, significant positive associations were still observed between Cu levels and PCOS risk, and between Zn levels and PCOS risk. Compared with women in the lowest quartile of the Cu group, the PCOS risk increased among women in the highest quartile [Q4 vs. Q1, aOR = 2.94 (95% CI: 1.83–4.72)]. Higher likelihoods of PCOS were also observed among women in high exposure group of Zn, and the aORs were 1.72 (Q3 vs. Q1, 95% CI: 1.07–2.76) and 1.89 (Q4 vs. Q1, 95% CI: 1.18–3.03). A negative association was observed between PCOS risk and As concentrations at the highest quartile [Q4 vs. Q1, aOR = 0.55 (95% CI: 0.34–0.89)]. The association of PCOS risk with Cu (two-level classification) and the association of PCOS risk with Cu and As (four-level classification) were still observed in the multi-metal(loid) logistic regression models.

      Table 4.  Associations between metal(loid) levels and PCOS risk

      Metal(loid)sModel 1cModel 2dModel 3e
      aOR (95% CI)PaOR (95% CI)PaOR (95% CI)P
      Cua
      LowRefRefRefRefRefRef
      High2.17 (1.53–3.07)< 0.001*2.04 (1.42–2.91)< 0.001*2.17 (1.53–3.07)< 0.001*
      Zna
      LowRefRefRefRef
      High1.51 (1.09–2.08)0.013*1.28 (0.91–1.78)0.152
      Cub
      Q1RefRefRefRefRefRef
      Q21.04 (0.59–1.81)0.9011.01 (0.57–1.77)0.9761.09 (0.62–1.90)0.764
      Q31.45 (0.86–2.44)0.1631.43 (0.83-2.45)0.1951.55 (0.92-2.62)0.103
      Q42.94 (1.83–4.72)< 0.001*2.86 (1.73–4.73)< 0.001*3.14 (1.95–5.08)< 0.001*
      Znb
      Q1RefRefRefRef
      Q21.40 (0.85–2.30)0.1881.26 (0.75–2.11)0.377
      Q31.72 (1.07–2.76)0.026*1.38 (0.83–2.28)0.212
      Q41.89 (1.18–3.03)0.008*1.47 (0.88–2.45)0.138
      As b
      Q1RefRefRefRefRefRef
      Q20.76 (0.50–1.18)0.2250.70 (0.45–1.10)0.1180.71 (0.45–1.10)0.125
      Q30.99 (0.66–1.48)0.9550.91 (0.60–1.39)0.6670.87 (0.57–1.32)0.514
      Q40.55 (0.34–0.89)0.014*0.49 (0.30–0.80)0.005*0.49 (0.30–0.80)0.004*
      Tib
      Q1RefRefRefRef
      Q20.71 (0.46–1.10)0.1280.83 (0.53–1.30)0.408
      Q30.61 (0.39–0.95)0.029*0.72 (0.45–1.15)0.164
      Q40.85 (0.56–1.29)0.4571.01 (0.65–1.58)0.959
      Lab
      Q1RefRefRefRef
      Q20.62 (0.39–0.97)0.037*0.51 (0.32–0.82)0.005*
      Q30.76 (0.49–1.17)0.2090.66 (0.42–1.04)0.070
      Q40.79 (0.52–1.21)0.2810.70 (0.44–1.11)0.135
        Note. PCOS, polycystic ovary syndrome; Cu, copper; Zn, zinc; As, arsenic; Ti, titanium; La, lanthanum; aOR, adjusted odds ratio; CI, confidence interval; BMI, body mass index; *P < 0.05. aMetal(loid)s were divided into two levels (low and high) based on the medians of the control group. bMetal(loid)s were divided into four levels (Q1, Q2, Q3, and Q4) based on the quartiles of the control group. cModel 1: single-metal(loid) logistic regression model, adjusted for age and BMI. dModel 2: multi-metal(loid) logistic regression model, adjusted for age and BMI; 1) two-level, Cu and Zn were included; 2) four-level, Cu, Zn, As, Ti, and La were included. eModel 3: multi-metal(loid) logistic regression model with the stepwise method; 1) two -level, Cu and Zn were included, with Cu kept in the model, adjusted for age and BMI; 2) four-level, Cu, Zn, As, Ti, and La were included, with Cu and As kept in the model, adjusted for age and BMI.
    • Supplementary Table S2 (available in www.besjournal.com) presents the correlations between the clinical indicators and FF Cu levels. Serum levels of AMH, LH, and T, which were higher in the PCOS group, also showed significant (P < 0.001) positive correlations with FF Cu levels. A significant (P < 0.001) negative correlation was observed between serum FSH and FF Cu levels, with serum FSH levels also lower in the PCOS group, as previously noted. These findings suggest the possible roles of AMH, LH, FSH, and T in the association between Cu exposure and PCOS risk.

      Table S2.  Spearman correlations between copper levels in follicular fluid and clinical indicators

      Clinical indicators r P N
      AMH 0.211 < 0.001 1,091
      LH 0.119 < 0.001 1,096
      FSH −0.133 < 0.001 1,096
      T 0.131 < 0.001 1,093
      FT3 0.063 0.038 1,095
        Note. AMH, anti-Müllerian hormone; LH, luteinizing hormone; FSH, follicle-stimulating hormone; T, testosterone; FT3, free triiodothyronine; r, correlation coefficient; P, P-value; N, sample size.

      Serum AMH levels were negatively correlated (r = –0.268, P < 0.001) with FSH levels and positively correlated (P < 0.001) with LH (r = 0.390) and T (r = 0.329) levels. Mediation analysis indicated that AMH may act as a mediator in the relationship between Cu exposure and PCOS risk (Figure 2 and Supplementary Table S3, available in www.besjournal.com).

      Figure 2.  Mediation effect of anti-Müllerian hormone (AMH) in the association between copper levels in follicular fluid and polycystic ovary syndrome (PCOS) risk, adjusted by age and body mass index.

    • Several studies have analyzed the concentrations of metal(loid)s, particularly Cu and Zn, in the serum or FF of PCOS patients and controls (Supplementary Table S4, available in www.besjournal.com). Serum concentrations were included in this comparison, as limited information is available regarding metal(loid) levels in the FF of PCOS patients. The FF metal(loid) levels measured in the present study were generally consistent with those observed in previous studies; however, the As, Ti, and Cr levels varied among studies[16]. For example, the median FF Cu level in PCOS patients in the present study was 904 ng/mL, comparable to 1,065 ± 244 ng/mL in a southeastern Chinese population. In addition, the median FF As level in PCOS patients in the present study was 1.52 ng/mL, which is lower than the levels observed in the southeastern Chinese population (36 ± 9 ng/mL). The serum metal(loid) concentrations of other populations are in the same order of magnitude, although slightly higher than those in FF of the present study[17,18]. For instance, serum Cu levels in PCOS patients from Beijing and Iran were 1,480 ± 55 ng/mL and 2,060 ng/mL, respectively.

      Table S4.  Metal(loid) levels in follicular fluid or serum of women from other populations

      References Regions Mediaa Groupsb Metal(loid)sc, ng/mL
      Cu Cr Se Zn Mn Pb Hg As Ti Li Sr Mo
      (Sun et al., 2019)[3] Fujian
      China
      FF Control 920.91 ±
      305.89
      124.09 ±
      86.76
      85.98 ± 22.34 479.69 ±
      218.92
      37.64 ±
      9.39
      200.07 ±
      84.85
      2.78 ±
      0.67
      32.15 ±
      13.05
      1.10 ±
      1.05
      PCOS 1,064.53 ±
      243.75
      133.37 ±
      41.90
      91.27 ± 20.75 527.77 ±
      236.70
      35.98 ±
      9.36
      164.83 ±
      49.77
      2.75 ±
      0.52
      34.01 ±
      12.38
      1.71 ±
      3.13
      FTO 877.98 ±
      239.73
      97.75 ±
      53.09
      80.13 ± 19.70 506.83 ±
      278.30
      33.72 ±
      9.50
      216.99 ±
      101.99
      2.24 ±
      0.56
      28.05 ±
      9.76
      1.22 ±
      1.94
      (Schmalbrock
      et al., 2021) [4]
      Dobl
      Austria
      FF 1 Subfertile 555 ± 191 23 ± 10 474 ± 118
      PCOS 518 ± 267 19 ± 11 402 ± 164
      2 Subfertile 683 ± 289 31 ± 26 569 ± 144
      PCOS 682 ± 381 24 ± 11 572 ± 231
      3 Subfertile 516 ± 185 24 ± 14 571 ± 111
      PCOS 479 ± 179 22 ± 5 419 ± 142
      4 Subfertile 619 ± 176 26 ± 11 536 ± 170
      PCOS 652 ± 276 24 ± 11 467 ± 174
      5 Subfertile 507 ± 190 22 ± 11 503 ± 167
      PCOS 742 ± 318 27 ± 12 591 ± 220
      (Li et al., 2017) [5] Guangxi
      China
      Serum Control 1,152 (992−
      1,400)
      PCOS 1,273 (1,078−
      1,536)
      (Zhang et al., 2022)[6] Beijing
      China
      Serum Control 1,320 ± 40 1.19 (0.708−
      2.07)
      80.06 ± 2.52 860
      (750−1,010)
      3.45
      (2.37−
      5.64)
      2.49
      (1.30−
      6.20)
      0.104
      (0.104−
      0.104)
      PCOS 1,480 ± 55 2.58 (1.01−
      9.31)
      77.31 ± 2.01 805
      (665−1,120)
      3.31
      (2.10−
      7.82)
      2.31
      (1.14−
      8.47)
      0.350
      (0.104−
      0.633)
      (Kanafchian
      et al., 2020) [7]
      Babol
      Iran
      Serum Control 1,870 (1,540−
      2,140)
      PCOS 2,060 (1,790−
      2,480)
        Note. Data was presented as mean ± standard deviation or median (interquartile range). a FF, follicular fluid. b PCOS, polycystic ovary syndrome; FTO, fallopian tube obstruction. c Cu, copper; Cr, chromium; Se, selenium; Zn, zinc; Mn, manganese; Pb, lead; Hg, mercury; As, arsenic; Ti, titanium; Li, lithium; Sr, strontium; Mo, molybdenum.

      Consistent with the present study, previous studies also observed higher Cu levels in the FF or serum of PCOS patients than in controls[16,18]. For example, serum levels of Cr, Hg, and Cu were higher in PCOS patients (N = 40) than in controls (N = 40) in a study carried out in Beijing, China[18]. In addition, among 22 trace elements measured in the FF of 89 PCOS patients and 114 controls from southeastern China, Cu levels were relatively high in the PCOS group[16]. Regarding Zn levels, Kurdoglu et al. also reported higher serum Zn levels in PCOS patients than in controls, consistent with the present study[19]. However, similar or lower Zn levels in the serum of PCOS patients were also observed in other studies[18,20].

      Higher serum AMH concentrations were observed in the PCOS group in this study, which is consistent with previous studies[21,22]. Regarding E2, LH, FSH, T, PRL, and progesterone, the trends were mostly consistent with a study conducted among Chinese women in a reproductive center in eastern China, except that the previous study found no difference in serum PRL levels between the PCOS and control groups[4].

      It is difficult to explain the protective role of As exposure currently, and more research into the association is needed. Therefore, the present study focused on the association between Cu exposure and PCOS risk. Logistic regression analysis indicated high exposure to Cu as a potential risk factor for PCOS, which is consistent with the findings from a meta-analysis[23]. Cu is a cofactor for several enzymes and an electron transporter, and is involved in biological redox reactions. Both the deficiency and excess of Cu may induce the deregulation of oxidative stress, which may be an inducing factor in the pathogenesis of PCOS[23-25]. Additionally, Cu overexposure may negatively affect follicular maturation. In yellow catfish (Pelteobagrus fulvidraco), the development of the ovary and secretion of related hormones were affected by Cu exposure[26]. Long-term and higher waterborne Cu exposure induced inhibitory effects both on the expression of proteins involved in ovarian development and the secretion of reproductive hormones.

      Several clinical indicators (i.e., hormone levels) were measured, and their potential involvement in the relationship between Cu exposure and PCOS risk was investigated in the present study to elucidate the underlying mechanisms. In this study, positive correlations of serum LH and T levels, and a negative correlation of serum FSH levels with FF Cu levels were observed. Cu can act directly on the pituitary, affecting LH release, and indirectly impact the release of LH and FSH by influencing the release of gonadotropin-releasing hormone (GnRH) in the hypothalamus[27,28]. In addition, the Cu-GnRH complex can bind to GnRH receptors, stimulating the release of FSH and LH in the pituitary. Compared with native GnRH, the Cu-GnRH complex is even a more potent stimulator of FSH and LH[28]. As demonstrated in in vivo experiments, increased release of LH and FSH was induced by complexes of Cu with GnRH[27,29]. However, higher Cu levels in FF correlated with lower serum FSH levels in the present study. This suggests that other pathways may be involved in the action of Cu on the HPO axis.

      Serum AMH levels were positively correlated with FF Cu levels and PCOS risk. Mediation analysis indicated that AMH may mediate the relationship between Cu exposure and PCOS risk. Circulating AMH levels in women fluctuate slightly but not significantly during the menstrual cycle[30]. AMH may regulate the HPO axis by acting on GnRH neurons and further increasing LH pulsatility and secretion[31]. Androgens may accumulate because of the inhibition of aromatase expression and activity by elevated AMH levels, which can block the conversion of androgens to estrogens[1,12]. In addition, follicular sensitivity to FSH may be inhibited by elevated AMH levels[32]. The possible enhancement of the circulating LH/FSH ratio, androgen excess, and decreased FSH sensitivity induced by AMH elevation cause disturbances in follicular development and anovulation, promoting the development of PCOS[1,33]. Therefore, higher Cu exposure may induce an increase in the LH/FSH ratio and T levels via elevated AMH levels, thereby enhancing the risk of PCOS.

      This study had certain limitations. First, genetic factors were not included in this study, which should be considered in future. In addition, this study did not investigate Cu exposure routes in participants, and substances co-exposed with Cu might have contributed to potential bias. Despite these limitations, the study had several advantages. First, the inclusion of a large sample size made it possible to demonstrate the relatively weak association between Cu exposure and PCOS risk. Second, the metal(loid) concentrations in this study were measured using FF samples, which is more representative of the ovarian exposure levels in women of childbearing age. Third, AMH mediated the relationship between Cu exposure and PCOS risk, providing a new perspective for understanding the pathogenesis of PCOS. The results of this study highlight elevated Cu levels as a possible risk factor for PCOS and the potential role of AMH in contributing to PCOS. Therefore, simultaneous monitoring of internal levels of Cu and AMH in women of childbearing age may facilitate early detection of PCOS, especially among susceptible populations.

    • The authors have no actual or potential competing financial interests to declare.

参考文献 (33)
补充材料:
24005+Supplementary Materials.pdf

目录

    /

    返回文章
    返回