In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 4 ( 2022-4-1), p. e0265619-
Abstract:
Extracellular vesicles (EVs), including exosomes and microvesicles, are involved in intercellular communication by transferring biomolecules such as mRNA, which has been shown to be as essential biomarkers for many physiological and pathological conditions such as diabetic nephropathy (DN). This study aimed to investigate the expression of CDH1, CDH2, MCP-1, and PAI-1 mRNAs in blood EVs of DN patients and to determine their accuracy in predicting early-stage DN. Methods We recruited 196 participants, including 35 overt DN patients, 53 incipient DN patients, 62 diabetic patients (DM), and 46 healthy individuals. Quantification of the mRNA profile of blood EVs was performed using the qRT-PCR method. The diagnostic performance of mRNA was evaluated using receiver operating characteristic analysis. Results The mRNA expression of CDH2 and MCP-1 was downregulated in overt DN group (0.22-fold change and 0.15-fold change, respectively) and incipient DN group (0.60-fold change and 0.43-fold change, respectively) compared to DM group (1.72-fold change and 2.77-fold change, respectively), while PAI-1 mRNA expression decreased in incipient DN group (0.70-fold change) and DM group (0.58-fold change) compared to control. However, the expression level of CDH1 mRNA was not significantly different among the four groups ( p = 0.408). Moreover, CDH2 and MCP-1 mRNAs inversely correlated with creatinine (r = -0.370 and r = -0.361, p 〈 0.001) and Alb/Cr ratio (r = -0.355 and r = -0.297, p 〈 0.001). 1/CDH2 mRNA also predicted overt DN with an accuracy of 0.75 (95%CI: 0.65–0.85) and incipient DN with an accuracy of 0.61 (95%CI: 0.50–0.71) while 1/MCP-1 mRNA had an accuracy of 0.66 (95%CI: 0.55–0.77) for overt DN prediction and an accuracy of 0.61 (95%CI: 0.51–0.71) for incipient DN prediction. Conclusion CDH2 and MCP-1 mRNAs expression in blood EVs was decreased with the development of DN, suggesting the renoprotective effect of these mRNAs in diabetic individuals. Moreover, their quantifications could serve as diagnostic biomarkers for early-stage DN.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0265619
DOI:
10.1371/journal.pone.0265619.g001
DOI:
10.1371/journal.pone.0265619.g002
DOI:
10.1371/journal.pone.0265619.g003
DOI:
10.1371/journal.pone.0265619.g004
DOI:
10.1371/journal.pone.0265619.g005
DOI:
10.1371/journal.pone.0265619.t001
DOI:
10.1371/journal.pone.0265619.t002
DOI:
10.1371/journal.pone.0265619.t003
DOI:
10.1371/journal.pone.0265619.t004
DOI:
10.1371/journal.pone.0265619.t005
DOI:
10.1371/journal.pone.0265619.t006
DOI:
10.1371/journal.pone.0265619.t007
DOI:
10.1371/journal.pone.0265619.t008
DOI:
10.1371/journal.pone.0265619.s001
DOI:
10.1371/journal.pone.0265619.s002
DOI:
10.1371/journal.pone.0265619.s003
DOI:
10.1371/journal.pone.0265619.s004
DOI:
10.1371/journal.pone.0265619.s005
DOI:
10.1371/journal.pone.0265619.s006
DOI:
10.1371/journal.pone.0265619.r001
DOI:
10.1371/journal.pone.0265619.r002
DOI:
10.1371/journal.pone.0265619.r003
DOI:
10.1371/journal.pone.0265619.r004
DOI:
10.1371/journal.pone.0265619.r005
DOI:
10.1371/journal.pone.0265619.r006
DOI:
10.1371/journal.pone.0265619.r007
DOI:
10.1371/journal.pone.0265619.r008
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2267670-3
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