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A Multidimensional Bioinformatic Platform for the Study of Human Response to Surgery.

Publication ,  Journal Article
Eckhoff, AM; Connor, AA; Thacker, JKM; Blazer, DG; Moore, HG; Scheri, RP; Lagoo-Deenadayalan, SA; Harpole, DH; Seymour, KA; Purves, JT; Chan, C ...
Published in: Ann Surg
June 1, 2022

OBJECTIVE: To design and establish a prospective biospecimen repository that integrates multi-omics assays with clinical data to study mechanisms of controlled injury and healing. BACKGROUND: Elective surgery is an opportunity to understand both the systemic and focal responses accompanying controlled and well-characterized injury to the human body. The overarching goal of this ongoing project is to define stereotypical responses to surgical injury, with the translational purpose of identifying targetable pathways involved in healing and resilience, and variations indicative of aberrant peri-operative outcomes. METHODS: Clinical data from the electronic medical record combined with large-scale biological data sets derived from blood, urine, fecal matter, and tissue samples are collected prospectively through the peri-operative period on patients undergoing 14 surgeries chosen to represent a range of injury locations and intensities. Specimens are subjected to genomic, transcriptomic, proteomic, and metabolomic assays to describe their genetic, metabolic, immunologic, and microbiome profiles, providing a multidimensional landscape of the human response to injury. RESULTS: The highly multiplexed data generated includes changes in over 28,000 mRNA transcripts, 100 plasma metabolites, 200 urine metabolites, and 400 proteins over the longitudinal course of surgery and recovery. In our initial pilot dataset, we demonstrate the feasibility of collecting high quality multi-omic data at pre- and postoperative time points and are already seeing evidence of physiologic perturbation between timepoints. CONCLUSIONS: This repository allows for longitudinal, state-of-the-art geno-mic, transcriptomic, proteomic, metabolomic, immunologic, and clinical data collection and provides a rich and stable infrastructure on which to fuel further biomedical discovery.

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Published In

Ann Surg

DOI

EISSN

1528-1140

Publication Date

June 1, 2022

Volume

275

Issue

6

Start / End Page

1094 / 1102

Location

United States

Related Subject Headings

  • Surgery
  • Proteomics
  • Prospective Studies
  • Metabolomics
  • Humans
  • Genomics
  • Computational Biology
  • 3202 Clinical sciences
  • 11 Medical and Health Sciences
 

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Eckhoff, A. M., Connor, A. A., Thacker, J. K. M., Blazer, D. G., Moore, H. G., Scheri, R. P., … Hwang, E. S. (2022). A Multidimensional Bioinformatic Platform for the Study of Human Response to Surgery. Ann Surg, 275(6), 1094–1102. https://doi.org/10.1097/SLA.0000000000005429
Eckhoff, Austin M., Ashton A. Connor, Julie K. M. Thacker, Dan G. Blazer, Harvey G. Moore, Randall P. Scheri, Sandhya A. Lagoo-Deenadayalan, et al. “A Multidimensional Bioinformatic Platform for the Study of Human Response to Surgery.Ann Surg 275, no. 6 (June 1, 2022): 1094–1102. https://doi.org/10.1097/SLA.0000000000005429.
Eckhoff AM, Connor AA, Thacker JKM, Blazer DG, Moore HG, Scheri RP, et al. A Multidimensional Bioinformatic Platform for the Study of Human Response to Surgery. Ann Surg. 2022 Jun 1;275(6):1094–102.
Eckhoff, Austin M., et al. “A Multidimensional Bioinformatic Platform for the Study of Human Response to Surgery.Ann Surg, vol. 275, no. 6, June 2022, pp. 1094–102. Pubmed, doi:10.1097/SLA.0000000000005429.
Eckhoff AM, Connor AA, Thacker JKM, Blazer DG, Moore HG, Scheri RP, Lagoo-Deenadayalan SA, Harpole DH, Seymour KA, Purves JT, Ravindra KV, Southerland KW, Rocke DJ, Gilner JB, Parker DC, Bain JR, Muehlbauer MJ, Ilkayeva OR, Corcoran DL, Modliszewski JL, Devos N, Foster MW, Moseley MA, Dressman HK, Chan C, Huebner JL, Chasse S, Stempora L, Aschenbrenner ME, Joshi M-B, Hollister B, Henao R, Barfield RT, Ellison MA, Bailey S, Woody S, Huang ES, Kirk A, Hwang ES. A Multidimensional Bioinformatic Platform for the Study of Human Response to Surgery. Ann Surg. 2022 Jun 1;275(6):1094–1102.

Published In

Ann Surg

DOI

EISSN

1528-1140

Publication Date

June 1, 2022

Volume

275

Issue

6

Start / End Page

1094 / 1102

Location

United States

Related Subject Headings

  • Surgery
  • Proteomics
  • Prospective Studies
  • Metabolomics
  • Humans
  • Genomics
  • Computational Biology
  • 3202 Clinical sciences
  • 11 Medical and Health Sciences