Association of serum anti-Müllerian hormone levels with early miscarriage: a retrospective cohort and mendelian randomization study

While anti-Müllerian hormone (AMH) serves as a well-established biomarker of ovarian reserve, its association with early miscarriage risk remains inconsistently characterized across previous research. To address this evidence gap, our investigation systematically evaluates the relationship between serum AMH concentrations and early miscarriage through a combination of retrospective cohort study and mendelian randomization analysis. The retrospective cohort study enrolled women who achieved intrauterine clinical pregnancies through in vitro fertilization cycles at Peking University Third Hospital between January 2019 and December 2023 (N = 19,154). These women were subsequently divided based on their anti-Müllerian hormone levels. Logistic regression and restrictive cubic spline regression models were applied to investigate the association between anti-Müllerian hormone levels and early miscarriage. Additionally, a two-step Mendelian randomization approach was utilized to investigate the causal relationship between anti-Müllerian hormone levels and miscarriage. Exposure traits were extracted from a meta-GWAS dataset (N = 9,968), while outcome traits were obtained from three separate GWAS datasets (N = 135,962, N = 360,044, and N = 150,215, respectively). In the in vitro fertilization (IVF) cohort, there were 2,780 women with AMH<1.1ng/ml, 6,666 women with 1.1 < AMH ≤ 2.6 ng/ml, and 9,708 women with AMH ≥ 2.6ng/ml. Compared to women with AMH ≥ 2.6ng/ml, women with AMH < 1.1 ng/mL (17.7% vs. 10.9% reference; aOR = 1.26 [1.11–1.44], p < 0.001) and women with AMH 1.1–2.6 ng/mL (13.8% vs. 10.9%; aOR = 1.13 [1.02–1.25], p = 0.018) exhibited significantly higher rates of early miscarriage. The aOR of early miscarriage showed a decreasing trend as AMH levels increased in restrictive cubic spline (p < 0.001). MR analysis did not detect a causal relationship between AMH levels and spontaneous miscarriage or recurrent miscarriage. Women with low AMH levels who conceive naturally do not need to worry excessively about early miscarriage. However, in the IVF population, low AMH levels warrant caution regarding the risk of early miscarriage. Future studies are necessary to confirm the causal relationship between AMH and early miscarriage in IVF cycles.

Authors

Institutions

Publication Details

Journal
Reproductive Biology and Endocrinology
Published
2025-12-23
DOI
https://doi.org/10.1186/s12958-025-01500-1
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of serum anti-Müllerian hormone levels with early miscarriage: a retrospective cohort and mendelian randomization study

Di Mao, Kai-Lun Hu, Juan Liu, M M Lin et al.
Reproductive Biology and Endocrinology
Ovarian function and disorders
article

Association of serum anti-Müllerian hormone levels with early miscarriage: a retrospective cohort and mendelian randomization study

Di Mao, Kai-Lun Hu, Juan Liu, M M Lin, Xunsi Qin, Wenhui Nan, Rong Li, Yue Wang, Fen-Ting Liu
article en

Abstract

While anti-Müllerian hormone (AMH) serves as a well-established biomarker of ovarian reserve, its association with early miscarriage risk remains inconsistently characterized across previous research. To address this evidence gap, our investigation systematically evaluates the relationship between serum AMH concentrations and early miscarriage through a combination of retrospective cohort study and mendelian randomization analysis. The retrospective cohort study enrolled women who achieved intrauterine clinical pregnancies through in vitro fertilization cycles at Peking University Third Hospital between January 2019 and December 2023 (N = 19,154). These women were subsequently divided based on their anti-Müllerian hormone levels. Logistic regression and restrictive cubic spline regression models were applied to investigate the association between anti-Müllerian hormone levels and early miscarriage. Additionally, a two-step Mendelian randomization approach was utilized to investigate the causal relationship between anti-Müllerian hormone levels and miscarriage. Exposure traits were extracted from a meta-GWAS dataset (N = 9,968), while outcome traits were obtained from three separate GWAS datasets (N = 135,962, N = 360,044, and N = 150,215, respectively). In the in vitro fertilization (IVF) cohort, there were 2,780 women with AMH<1.1ng/ml, 6,666 women with 1.1 < AMH ≤ 2.6 ng/ml, and 9,708 women with AMH ≥ 2.6ng/ml. Compared to women with AMH ≥ 2.6ng/ml, women with AMH < 1.1 ng/mL (17.7% vs. 10.9% reference; aOR = 1.26 [1.11–1.44], p < 0.001) and women with AMH 1.1–2.6 ng/mL (13.8% vs. 10.9%; aOR = 1.13 [1.02–1.25], p = 0.018) exhibited significantly higher rates of early miscarriage. The aOR of early miscarriage showed a decreasing trend as AMH levels increased in restrictive cubic spline (p < 0.001). MR analysis did not detect a causal relationship between AMH levels and spontaneous miscarriage or recurrent miscarriage. Women with low AMH levels who conceive naturally do not need to worry excessively about early miscarriage. However, in the IVF population, low AMH levels warrant caution regarding the risk of early miscarriage. Future studies are necessary to confirm the causal relationship between AMH and early miscarriage in IVF cycles.

Reproductive Biology and EndocrinologyVol. 24(1)
Peking University (CN), Beijing University of Technology (CN), Reproductive Science Center (US), Ministry of Education (RO), Ministry of Education (TH), Women's Hospital, School of Medicine, Zhejiang University (CN), Peking University Third Hospital (CN)
Good health and well-being
Openalex Percentile: Top 28%
Ovarian function and disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.