» Articles » PMID: 34359863

The MicroRNA Landscape of Acute Beta Cell Destruction in Type 1 Diabetic Recipients of Intraportal Islet Grafts

Overview
Journal Cells
Publisher MDPI
Date 2021 Aug 7
PMID 34359863
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Ongoing beta cell death in type 1 diabetes (T1D) can be detected using biomarkers selectively discharged by dying beta cells into plasma. microRNA-375 (miR-375) ranks among the top biomarkers based on studies in animal models and human islet transplantation. Our objective was to identify additional microRNAs that are co-released with miR-375 proportionate to the amount of beta cell destruction. RT-PCR profiling of 733 microRNAs in a discovery cohort of T1D patients 1 h before/after islet transplantation indicated increased plasma levels of 22 microRNAs. Sub-selection for beta cell selectivity resulted in 15 microRNAs that were subjected to double-blinded multicenter analysis. This led to the identification of eight microRNAs that were consistently increased during early graft destruction: besides miR-375, these included miR-132/204/410/200a/429/125b, microRNAs with known function and enrichment in beta cells. Their potential clinical translation was investigated in a third independent cohort of 46 transplant patients by correlating post-transplant microRNA levels to C-peptide levels 2 months later. Only miR-375 and miR-132 had prognostic potential for graft outcome, and none of the newly identified microRNAs outperformed miR-375 in multiple regression. In conclusion, this study reveals multiple beta cell-enriched microRNAs that are co-released with miR-375 and can be used as complementary biomarkers of beta cell death.

Citing Articles

Small RNA-Seq and real time rt-qPCR reveal islet miRNA released under stress conditions.

Aljani B, Lindner A, Weigelt M, Zhao M, Sharma V, Bonifacio E Islets. 2024; 16(1):2392343.

PMID: 39154325 PMC: 11332650. DOI: 10.1080/19382014.2024.2392343.


Significant expansion of the donor pool achieved by utilizing islets of variable quality in the production of allogeneic "Neo-Islets", 3-D organoids of Mesenchymal Stromal and islet cells, a novel immune-isolating biotherapy for Type I Diabetes.

Gooch A, Chowdhury S, Zhang P, Hu Z, Westenfelder C PLoS One. 2023; 18(8):e0290460.

PMID: 37616230 PMC: 10449143. DOI: 10.1371/journal.pone.0290460.


miRNAs in the Beta Cell-Friends or Foes?.

Karagiannopoulos A, Cowan E, Eliasson L Endocrinology. 2023; 164(5).

PMID: 36869830 PMC: 10214274. DOI: 10.1210/endocr/bqad040.


miRNAs as Biomarkers in Diabetes: Moving towards Precision Medicine.

Angelescu M, Andronic O, Dima S, Popescu I, Meivar-Levy I, Ferber S Int J Mol Sci. 2022; 23(21).

PMID: 36361633 PMC: 9655971. DOI: 10.3390/ijms232112843.

References
1.
Filios S, Shalev A . β-Cell MicroRNAs: Small but Powerful. Diabetes. 2015; 64(11):3631-44. PMC: 4613982. DOI: 10.2337/db15-0831. View

2.
Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A . Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002; 3(7):RESEARCH0034. PMC: 126239. DOI: 10.1186/gb-2002-3-7-research0034. View

3.
Nesca V, Guay C, Jacovetti C, Menoud V, Peyot M, Laybutt D . Identification of particular groups of microRNAs that positively or negatively impact on beta cell function in obese models of type 2 diabetes. Diabetologia. 2013; 56(10):2203-12. DOI: 10.1007/s00125-013-2993-y. View

4.
Ludwig N, Leidinger P, Becker K, Backes C, Fehlmann T, Pallasch C . Distribution of miRNA expression across human tissues. Nucleic Acids Res. 2016; 44(8):3865-77. PMC: 4856985. DOI: 10.1093/nar/gkw116. View

5.
Megraw M, Sethupathy P, Corda B, Hatzigeorgiou A . miRGen: a database for the study of animal microRNA genomic organization and function. Nucleic Acids Res. 2006; 35(Database issue):D149-55. PMC: 1669779. DOI: 10.1093/nar/gkl904. View