Clinical, metabolomic, and proteomic profiles associated with reproductive outcomes in unexplained recurrent pregnancy loss - Summary - MDSpire

Clinical, metabolomic, and proteomic profiles associated with reproductive outcomes in unexplained recurrent pregnancy loss

  • By

  • Zicheng Song

  • Yishi Jiang

  • Zhixing Zhu

  • Yan Che

  • Shuping Li

  • Aimin Zhao

  • July 10, 2026

  • 0 min

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Objective:

To identify preconception clinical and multi-omics factors associated with conception and early pregnancy loss in women with unexplained recurrent pregnancy loss (URPL).

Approach:
  • Study Design: A prospective cohort study involving 149 women with URPL, followed for 12 months.
  • Data Collection: Preconception fasting plasma analyzed for clinical biomarkers, untargeted metabolomics, and proteomics.
  • Statistical Analysis: Multivariable logistic regression used to evaluate associations with reproductive outcomes.
Key Findings:
  • 66.4% of women conceived during follow-up (99 out of 149).
  • Higher testosterone levels associated with lower probability of conception (aOR 0.50, 95% CI 0.28–0.89, p = 0.019).
  • Women who conceived had higher levels of progesterone-related metabolites, including 17-hydroxyprogesterone (FC = 3.89), pregnanediol 3-O-glucuronide (FC = 2.37), and pregnanetriol 3α-O-β-D-glucuronide (FC = 2.39).
  • Higher prolactin levels associated with increased odds of early pregnancy loss (aOR 1.09, 95% CI 1.01–1.18, p = 0.036).
  • Early pregnancy loss characterized by lower bile acid-related metabolites and higher caffeine and methylxanthine metabolites.
Interpretation:

Associations were observed between androgen-related biology, prolactin, non-criteria antiphospholipid antibodies, and bile acid metabolism with reproductive outcomes in URPL.

Limitations:
  • Study limited to a single cohort and requires validation in independent cohorts.
  • Potential confounding factors, such as maternal age and body mass index, were not fully accounted for in the analysis.
Conclusion:

The study identifies potential biomarkers and factors associated with reproductive outcomes in women with URPL, warranting further investigation.

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