MicroRNA Expression Data Reveals a Signature of Kidney Damage following Ischemia Reperfusion Injury
Author Information
Author(s): Michael D. Shapiro, Jessamyn Bagley, Jeff Latz, Jonathan G. Godwin, Xupeng Ge, Stefan G. Tullius, John Iacomini
Primary Institution: Sackler School of Graduate Biomedical Sciences, Boston, Massachusetts, United States of America
Hypothesis
If IRI and control samples exhibit distinct directions, then miR expression can be used as a biomarker of injury.
Conclusion
The pattern of miR expression in the kidney following IRI has a distinct direction and can be distinguished from changes observed in sham controls.
Supporting Evidence
- Changes in miR expression following IRI were distinct from those observed in sham controls.
- Principal component analysis revealed that over 95% of variance could be explained by the first 9 principal components.
- Distinct changes in miR expression were observed as early as day 3 after injury.
Takeaway
This study found that certain tiny molecules in the kidney change in a specific way after injury, which can help doctors tell if the kidney is hurt.
Methodology
The study used principal component analysis (PCA) and Monte Carlo methods to analyze miR expression data from mice subjected to ischemia reperfusion injury.
Potential Biases
Potential bias due to the use of a single mouse model and the exclusion of other relevant miRs in the analysis.
Limitations
The study primarily focused on a specific mouse strain, which may limit the generalizability of the findings.
Participant Demographics
Male C57BL/6J, B6.129S7-Rag1tm1Mom/J, and (C57BL/6J×C57BL/10SgSnAi)-[KO]γc-[KO]Rag2 mice.
Statistical Information
P-Value
0.0069
Statistical Significance
p<0.005
Digital Object Identifier (DOI)
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