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Plasma metabolite levels before pregnancy and pregnancy outcomes in couples of reproductive age: prospective evidence from the PREBIC cohort in Chongqing, China
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Yayun CAO1, 2, Qing CHEN2, Yongla LU2, Tong WANG2, Niya ZHOU3, 4, Yingzhong DAI2, Siwen LUO2, Xiaolu ZHAO2, Buyun LIU5, Wei BAO5, Jia CAO2
Journal of Army Medical University | 2026, 48(8) : 1100 - 1109
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Journal of Army Medical University | 2026, 48(8): 1100-1109
• Think Tank for Public Health •
Plasma metabolite levels before pregnancy and pregnancy outcomes in couples of reproductive age: prospective evidence from the PREBIC cohort in Chongqing, China
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Yayun CAO1, 2, Qing CHEN2, Yongla LU2, Tong WANG2, Niya ZHOU3, 4, Yingzhong DAI2, Siwen LUO2, Xiaolu ZHAO2, Buyun LIU5, Wei BAO5, Jia CAO2
Affiliations
  • 1Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi
  • 2Institute of Toxicology, Key Laboratory of Electromagnetic Radiation Medical Protection of Ministry of Education, College of Military Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing
  • 3Biobank of Chongqing Hospital Center for Women and Children (Women and Children’s Hospital of Chongqing Medical University), Chongqing
  • 4Chongqing Center for Maternal and Child Disease Prevention and Control and Public Health Research, Chongqing
  • 5Graduate School of Public Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
Published: 2026-04-30 doi: 10.16016/j.2097-0927.202512096
Outline
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Objective

Infertility represents a major global reproductive health challenge. Metabolite levels in both partners are highly correlated and may serve as potential confounders for each other. However, how the overall preconception plasma metabolic profiles of both partners jointly influence natural conception outcomes remains unclear. Based on the Chongqing Preconception Reproductive Health and Birth Outcomes Cohort (PREBIC), this study aims to explore the association between preconception plasma metabolite levels in couples of reproductive age and conception outcomes.

Methods

The Chongqing PREBIC was launched in January 2019 at the Chongqing Health Center for Women and Children, recruiting couples of reproductive age undergoing preconception health examinations to establish baseline cohorts and collect blood samples. Follow-up was then performed every 3 months for clinical pregnancy outcomes following 24 months of unprotected intercourse. The study ultimately included 1 292 couples of reproductive age for analysis. According to natural conception status, participants were assigned into a pregnant group (n=967) and a non-pregnant group (n=325). Baseline plasma samples were subjected to standardized metabolomic testing using the Bruker IVDR NMR platform, yielding 167 metabolic parameters. Elastic network regression was employed to screen key metabolites, and logistic regression models were constructed to evaluate the association between metabolites and 2-year pregnancy outcomes, and confounding factors such as age, body mass index (BMI), smoking and alcohol consumption were adjusted.

Results

Among the 1 292 couples of reproductive age, the 2-year pregnancy rate was 74.85%. Eighty-two metabolites showed positive correlations between partners, with a mean correlation coefficient of 0.15. After controlling for inter-variable correlations using elastic network model, 14 male metabolites and 20 female metabolites were found to be associated with conception outcomes. Logistic regression revealed gender-specific associations between plasma metabolite levels in both partners and conception outcomes: in males, triglycerides in low-density lipoprotein were positively associated with conception outcomes (Q4 vs Q1: RR=1.12, 95%CI: 1.03 to 1.19, P adjust=0.047). In females, low-density lipoprotein, apolipoprotein A in high-density lipoprotein, apolipoprotein B in low-density lipoprotein, creatinine, and leucine were negatively associated with conception outcomes. Acetic acid in in both partners was positively correlated with conception outcomes (Q4 vs Q1: male RR=1.13, 95%CI: 1.04 to 1.21, P adjust=0.047; female RR=1.18, 95%CI: 1.05 to 1.28, P adjust=0.007).

Conclusion

Preconception metabolite levels in couples of reproductive age may act on future reproductive potential in a gender-specific manner, with common key metabolites identified. Countermeasures Based on these findings, it is recommended that the health policy-making departments accelerate the transition of preconception care services from focusing solely on women toward a dual-partner co-management model. Incorporate the pre-pregnancy metabolism of both males and females of reproductive age into routine preconception eugenics health services, with priority monitoring of metabolic indicators, including lipid homeostasis and energy metabolism; develop precision intervention measures according to metabolic differences between genders; improve the urban-rural integrated preconception health management system covering both partners; and enhance reproductive health at the public health source level, providing policy basis and technical support for optimizing birth population quality.

cohort study  /  preconception exposure  /  lipid metabolism  /  conception outcomes  /  reproductive potential
曹雅芸, 陈卿, 陆永拉, 王童, 周妮娅, 代应忠, 罗斯文, 赵肖璐, 刘步云, 包巍, 曹佳. 育龄夫妻孕前血浆代谢物水平与受孕结局:来自中国重庆PREBIC队列的前瞻性证据. 陆军军医大学学报, 2026 , 48 (8) : 1100 -1109 . DOI: 10.16016/j.2097-0927.202512096
Yayun CAO, Qing CHEN, Yongla LU, Tong WANG, Niya ZHOU, Yingzhong DAI, Siwen LUO, Xiaolu ZHAO, Buyun LIU, Wei BAO, Jia CAO. Plasma metabolite levels before pregnancy and pregnancy outcomes in couples of reproductive age: prospective evidence from the PREBIC cohort in Chongqing, China[J]. Journal of Army Medical University, 2026 , 48 (8) : 1100 -1109 . DOI: 10.16016/j.2097-0927.202512096
Year 2026 volume 48 Issue 8
72
34
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Article Info
doi: 10.16016/j.2097-0927.202512096
  • Receive Date:2025-12-17
  • Online Date:2026-10-23
  • Published:2026-04-30
Article Data
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History
  • Received:2025-12-17
  • Revised:2026-03-05
Affiliations
    1Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi
    2Institute of Toxicology, Key Laboratory of Electromagnetic Radiation Medical Protection of Ministry of Education, College of Military Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing
    3Biobank of Chongqing Hospital Center for Women and Children (Women and Children’s Hospital of Chongqing Medical University), Chongqing
    4Chongqing Center for Maternal and Child Disease Prevention and Control and Public Health Research, Chongqing
    5Graduate School of Public Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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