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Updated: Apr 15, 2026

Murine Excisional Wound Healing Model and Histological Morphometric Wound Analysis
Published on: August 21, 2020
Genetic Modulation of Wound Healing Pathways and Postoperative Risk in Plastic and Reconstructive Surgery: A Cohort
Larysa Sydorchuk1, Ruslan Gumennyi2, Andrii Sydorchuk3
1Family Medicine Department, Bukovinian State Medical University, Theatre Sq.2, 58002 Chernivtsi, Ukraine.
Investigating gene expression in plastic surgery patients revealed that elevated levels of IL-6, CCL2, and COL1A1 significantly increase complication risk. The Molecular Complication Risk Index (MCRI) effectively identifies high-risk patients, particularly those over 40.
Area of Science:
- Molecular biology
- Plastic surgery
- Genetics
Background:
- Postoperative complications in plastic surgery can significantly impact patient outcomes.
- Understanding the molecular mechanisms underlying wound healing is crucial for risk stratification.
- Age is a known factor influencing surgical outcomes, but molecular correlates require further investigation.
Purpose of the Study:
- To investigate the mRNA expression of key genes (IL-6, CCL2, IL-10, MAPK1, MAPK8, MMP9, COL1A1, COL3A1, TGFB1) in relation to adverse postoperative outcomes.
- To assess the association between gene expression patterns and patient age.
- To develop and validate a molecular risk index for predicting complications.
Main Methods:
- Prospective longitudinal cohort study of 95 women undergoing reconstructive/plastic surgery.
- mRNA expression analysis of specified genes in peripheral blood leukocytes using RT-PCR.
- Development and validation of the Molecular Complication Risk Index (MCRI) and ROC analysis.
Main Results:
- Elevated mRNA expression of IL-6, COL3A1, CCL2, MAPK1, MAPK8, IL-10, MMP9, and COL1A1 were significantly associated with increased risk of postoperative complications.
- COL1A1 overexpression showed the strongest association, increasing complication risk by 58.33-fold.
- The MCRI model demonstrated good discriminative ability (AUC = 0.78) and identified women aged ≥ 40 years as having an unfavorable molecular profile.
Conclusions:
- Transcriptional activity of the studied genes is linked to postoperative wound healing risk.
- Women over 40 years old face the highest risk of complications.
- The MCRI model can aid in early identification of high-risk patients for targeted interventions and personalized surgical planning.
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