scholarly journals Identification of multi-omics molecular signature of acute radiation injury using nonhuman primate model

2021 ◽  
Author(s):  
Amrita Cheema ◽  
Yaoxiang Li ◽  
Joanna Moulton ◽  
Michael Girgis ◽  
Stephen Y Wise ◽  
...  

The availability of validated biomarkers to assess radiation exposure and to assist in developing medical countermeasures remains an unmet need. We used a cobalt 60 gamma irradiated nonhuman primate model to delineate a multi-omics based serum probability index of radiation exposure. Both male and female NHPs were irradiated with different doses ranging from 6.0 to 8.5 Gray, with 0.5 Gray increments between doses. We leveraged high resolution mass spectrometry for analysis of metabolites, lipids, and proteins at 1, 2, and 6 days post irradiation in NHP serum. A logistic regression model was implemented to develop a 4 analyte panel to stratify irradiated NHPs from unirradiated with high accuracy that was agnostic for all doses of gamma rays tested in the study, up to six days after exposure. This panel was comprised of Serpin Family A9, acetylcarnitine, PC (16:0/22:6), and suberylglycine, which showed 2 to 4 fold elevation in serum abundance upon irradiation in NHPs, and can potentially be translated for human use following larger validation studies. Taken together, this study, for the first time, demonstrates the utility of a combinatorial molecular characterization approach using an nonhuman primate model for developing minimally invasive assays from small volumes of blood that can be effectively used for radiation exposure assessments.

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 222-OR
Author(s):  
MICHAEL J. NASH ◽  
TAYLOR K. SODERBORG ◽  
RACHEL C. JANSSEN ◽  
ERIC M. PIETRAS ◽  
JACOB E. FRIEDMAN

2020 ◽  
Author(s):  
Di Wu ◽  
Yongjuan Fu ◽  
Longfei Wu ◽  
Mitchell Huber ◽  
Jian Chen ◽  
...  

Author(s):  
Yining Chen ◽  
Meredith C. Poole ◽  
Shelby V. Olesovsky ◽  
Allen A. Champagne ◽  
Kathleen A. Harrison ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jeffrey L. Ebersole ◽  
Radhakrishnan Nagarajan ◽  
Sreenatha Kirakodu ◽  
Octavio A. Gonzalez

AbstractWe used a nonhuman primate model of ligature-induced periodontitis to identify patterns of gingival transcriptomic after changes demarcating phases of periodontitis lesions (initiation, progression, resolution). A total of 18 adult Macaca mulatta (12–22 years) had ligatures placed (premolar, 1st molar teeth) in all 4 quadrants. Gingival tissue samples were obtained (baseline, 2 weeks, 1 and 3 months during periodontitis and at 5 months resolution). Gene expression was analyzed by microarray [Rhesus Gene 1.0 ST Array (Affymetrix)]. Compared to baseline, a large array of genes were significantly altered at initiation (n = 6049), early progression (n = 4893), and late progression (n = 5078) of disease, with the preponderance being up-regulated. Additionally, 1918 genes were altered in expression with disease resolution, skewed towards down-regulation. Assessment of the genes demonstrated specific profiles of epithelial, bone/connective tissue, apoptosis/autophagy, metabolism, regulatory, immune, and inflammatory responses that were related to health, stages of disease, and tissues with resolved lesions. Unique transcriptomic profiles occured during the kinetics of the periodontitis lesion exacerbation and remission. We delineated phase specific gene expression profiles of the disease lesion. Detection of these gene products in gingival crevicular fluid samples from human disease may contribute to a better understanding of the biological dynamics of the disease to improve patient management.


2021 ◽  
Author(s):  
Samuel J. Kesseli ◽  
Jared N. Gloria ◽  
Nader Abraham ◽  
Samantha E. Halpern ◽  
Greta N. Cywinska ◽  
...  

2019 ◽  
Vol 220 (1) ◽  
pp. S27
Author(s):  
Ji Yeon Lee ◽  
Meredith Kelleher ◽  
Christopher M. Novak ◽  
Victoria H. Roberts ◽  
Antonio E. Frias ◽  
...  

2016 ◽  
Vol 3 ◽  
pp. 16007 ◽  
Author(s):  
Christopher W. Peterson ◽  
Kevin G. Haworth ◽  
Bryan P. Burke ◽  
Patricia Polacino ◽  
Krystin K. Norman ◽  
...  

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