# Dynamic Lipid–Glycaemic Index and Inflammation—Endothelial Shifts and Fetal Aortic Wall Thickening: A Repeated-Measures Gestational Phenotyping Study

**Authors:** Maria Cezara Muresan, Biliana Belovan, Ioan Sîrbu, Zoran Laurentiu Popa, Cosmin Citu, Ioan Sas, Adrian Ratiu

PMC · DOI: 10.3390/medicina61060964 · Medicina · 2025-05-23

## TL;DR

This study shows that changes in maternal lipid and inflammation markers predict increased fetal aortic wall thickening during pregnancy.

## Contribution

The study introduces dynamic composite indices combining lipid, glycaemic, and inflammatory markers to predict fetal vascular changes.

## Key findings

- MIRP-3 mothers showed a significant increase in fetal aortic wall thickness compared to other groups.
- Δ-TyG, Δ-IL-6, and Δ-FMD were independent predictors of fetal IMT progression.
- An XGBoost model using dynamic variables predicted high fetal IMT with an AUROC of 0.88.

## Abstract

Background and Objectives: Maternal dyslipidaemia and low-grade inflammation are recognised drivers of in utero vascular remodelling, yet composite dynamic markers that integrate lipid–glycaemic, inflammatory and endothelial signals have not been evaluated. We investigated whether eight-week trajectories in the triglyceride–glucose index (TyG), interleukin-6 (IL-6) and flow-mediated dilation (FMD) outperform single-timepoint lipids for predicting fetal aortic remodelling. Materials and Methods: In a prospective repeated-measures study, 90 singleton pregnancies were examined at 24–26 weeks (Visit-1) and 32–34 weeks (Visit-2). At each visit, we obtained fasting lipids, TyG index, hsCRP, IL-6, oxidative-stress markers (MDA, NOx), brachial flow-mediated dilation (FMD), carotid IMT and uterine-artery Doppler, together with advanced fetal ultrasonography (abdominal-aorta IMT, ventricular strain, Tei-index, fetal pulse-wave velocity). Mothers were grouped by k-means clustering of the visit-to-visit change (Δ) in TG, TyG, hsCRP, IL-6 and FMD into three Metabolic-Inflammatory Response Phenotypes (MIRP-1/2/3). Linear mixed-effects models and extreme-gradient-boosting quantified associations and predictive performance. Results: Mean gestational TG rose from 138.6 ± 14.1 mg/dL to 166.9 ± 15.2 mg/dL, TyG by 0.21 ± 0.07 units and FMD fell by 1.86 ± 0.45%. MIRP-3 (“Metabolic + Inflammatory”; n = 31) showed the largest change (Δ) Δ-hsCRP (+0.69 mg/L) and Δ-FMD (–2.8%) and displayed a fetal IMT increase of +0.17 ± 0.05 mm versus +0.07 ± 0.03 mm in MIRP-1 (p < 0.001). Mixed-effects modelling identified Δ-TyG (β = +0.054 mm per unit), Δ-IL-6 (β = +0.009 mm) and Δ-FMD (β = –0.007 mm per %) as independent determinants of fetal IMT progression. An XGBoost model incorporating these Δ-variables predicted high fetal IMT (≥90th percentile) with AUROC 0.88, outperforming logistic regression (AUROC 0.74). Conclusions: A short-term surge in maternal TyG, IL-6 and endothelial dysfunction delineates a high-risk phenotype that doubles fetal aortic wall thickening and impairs myocardial performance. Composite dynamic indices demonstrated superior predictive value compared with individual lipid markers.

## Linked entities

- **Proteins:** IL6 (interleukin 6)

## Full-text entities

- **Genes:** KCNE2 (potassium voltage-gated channel subfamily E regulatory subunit 2) [NCBI Gene 9992] {aka ATFB4, LQT5, LQT6, MIRP1}, KCNE4 (potassium voltage-gated channel subfamily E regulatory subunit 4) [NCBI Gene 23704] {aka MIRP3}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}
- **Diseases:** vascular remodelling (MESH:D066253), endothelial dysfunction (MESH:D014652), Inflammation (MESH:D007249), aortic remodelling (MESH:D020257)
- **Chemicals:** TG (MESH:D013866), Lipid (MESH:D008055), NOx (-), MDA (MESH:D015104), triglyceride (MESH:D014280)

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12195530/full.md

## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC12195530/full.md

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Source: https://tomesphere.com/paper/PMC12195530