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A Multidimensional Bioinformatic Platform for the Study of Human Response to Surgery.
Austin M Eckhoff1, Ashton A Connor1, Julie K M Thacker1
1Department of Surgery, Duke University; Durham, NC.
Annals of Surgery
|March 8, 2022
Summary
This study establishes a biospecimen repository integrating multi-omics and clinical data to understand injury and healing. The findings will identify pathways for improved patient resilience and healing after surgery.
Area of Science:
- Biomedical research
- Translational medicine
- Systems biology
Background:
- Elective surgery offers a model to study human responses to controlled injury.
- Understanding systemic and focal responses aids in identifying healing and resilience pathways.
- Identifying variations in response can predict aberrant peri-operative outcomes.
Purpose of the Study:
- To establish a prospective biospecimen repository.
- To integrate multi-omics assays (genomic, transcriptomic, proteomic, metabolomic) with clinical data.
- To study mechanisms of controlled injury and healing.
Main Methods:
- Prospective collection of clinical data and biological samples (blood, urine, feces, tissue) from patients undergoing surgery.
- Application of multi-omics assays to analyze genetic, metabolic, immunologic, and microbiome profiles.
- Longitudinal data collection across the peri-operative period.
Main Results:
- Generated highly multiplexed data, including changes in over 28,000 mRNA transcripts, 100 plasma metabolites, 200 urine metabolites, and 400 proteins.
- Demonstrated feasibility of collecting high-quality multi-omic data pre- and post-operatively.
- Observed evidence of physiological perturbation between time points.
Conclusions:
- Established a repository for longitudinal, multi-omic, and clinical data.
- Provides a robust infrastructure for future biomedical discovery in injury and healing.
- Enables in-depth study of the human response to surgical injury.
