# Fetuin-A Concentration in the Perinatal Period and Maternal BMI Dynamics During Pregnancy, Labor, and Early Postpartum: Is ΔBMI a Parameter Worth Considering?

**Authors:** Aleksandra Obuchowska-Standyło, Żaneta Kimber-Trojnar, Monika Czuba, Katarzyna Trojnar, Bożena Leszczyńska-Gorzelak

PMC · DOI: 10.3390/jcm14196782 · 2025-09-25

## TL;DR

This study investigates how changes in maternal BMI during pregnancy relate to fetuin-A levels, a protein linked to metabolic and inflammatory processes.

## Contribution

The study introduces ΔBMI as a potential individualized metric for analyzing weight dynamics in pregnancy.

## Key findings

- Fetuin-A levels decreased significantly after delivery, suggesting placental involvement in its regulation.
- A significant correlation was found between pre-delivery fetuin-A and postpartum uric acid in women with greater gestational weight gain.
- ΔBMI indices differed significantly between groups, though fetuin-A concentrations were not directly associated with BMI changes.

## Abstract

Background/Objectives: Fetuin-A is a multifunctional glycoprotein involved in metabolic and inflammatory regulation. Although its role in insulin resistance, type 2 diabetes, and cardiovascular disease is well recognized, its relationship with pregnancy-related body mass changes remains unclear. This study aimed to explore associations between maternal BMI dynamics during and shortly after pregnancy and serum fetuin-A concentrations. Methods: Fifty-five healthy Caucasian women with term singleton pregnancies were enrolled. BMI was recorded at three time points: pre-pregnancy, before delivery, and 48 h postpartum. Based on ΔBMI (postpartum minus pre-pregnancy BMI), participants were divided into two groups: ΔBMI ≤ 1 kg/m2 (n = 32) and ΔBMI > 1 kg/m2 (n = 23). Serum fetuin-A levels were measured before delivery and postpartum using ELISA. Additional laboratory parameters and body composition were assessed postpartum via standard tests and bioelectrical impedance analysis (BIA). Results: No significant differences were found between groups in BMI at any single time point or in laboratory or BIA-derived parameters. However, all three BMI change indices (ΔBMI_gestational, ΔBMI_puerperal, and ΔBMI) differed significantly between groups. Fetuin-A concentrations did not differ significantly between groups. Importantly, fetuin-A levels decreased significantly after delivery in both groups, suggesting a potential role of the placenta in its regulation. A significant correlation was observed between pre-delivery fetuin-A and postpartum uric acid in Group ΔBMI > 1 kg/m2 (p = 0.016), indicating a possible link in women with greater gestational weight gain. Conclusions: While fetuin-A was not directly associated with BMI changes, its peripartum dynamics and correlation with uric acid may reflect underlying metabolic-inflammation pathways. ΔBMI indices may offer a more individualized measure of weight dynamics in pregnancy research.

## Linked entities

- **Proteins:** AHSG (alpha 2-HS glycoprotein)
- **Chemicals:** uric acid (PubChem CID 1175)
- **Diseases:** type 2 diabetes (MONDO:0005148), cardiovascular disease (MONDO:0004995)

## Full-text entities

- **Genes:** AHSG (alpha 2-HS glycoprotein) [NCBI Gene 197] {aka A2HS, AHS, APMR1, FETUA, HSGA}
- **Diseases:** weight gain (MESH:D015430), type 2 diabetes (MESH:D003924), insulin resistance (MESH:D007333), cardiovascular disease (MESH:D002318), inflammation (MESH:D007249)
- **Chemicals:** uric acid (MESH:D014527)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12525205/full.md

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Source: https://tomesphere.com/paper/PMC12525205