| Literature DB >> 32384281 |
Wenzheng Xia1,2, Hanbin Chen3, Congying Xie3, Meng Hou3.
Abstract
The clinical application of doxorubicin (Dox) is limited due to its undesirable cardiotoxicity side effects. Cellular senescence plays an important role in Dox-induced cardiotoxicity. Exosomes derived from stem cells showed a therapeutic effect in Dox-induced cardiomyopathy (DIC). Hypoxia-preconditioned exosomes (exosomeHypoxia) display pro-metabolism and pro-survival abilities. Several long-noncoding RNAs/microRNAs act as competing endogenous RNAs (ceRNAs) modulating DIC. No study investigated whether exosomeHypoxia could attenuate DIC through modulating ceRNAs.Treatment of the human adipose-derived mesenchymal stem cells with hypoxia induced lncRNA-MALAT1 accumulation in the secreted exosomes. In addition, the lncRNA-MALAT1 was identified as an exosomal transfer RNA to repress miR-92a-3p expression. Silencing the lncRNA-MALAT1 in MSCs or miR-92a-3p overexpression in cardiomyocytes significantly impaired the rejuvenation induced by exosomeHypoxia. TargetScan and luciferase assay showed that miR-92a-3p targeted the ATG4a 3' untranslated region. Silencing ATG4a blocked the anti-senescent effect of exosomeHypoxia.This study identified the lncRNA-MALAT1 that functioned as ceRNA binding to miR-92a-3p, leading to ATG4a activation, thus improving mitochondrial metabolism. LncRNA-MALAT1/miR-92a-3p/ATG4a partially mediates the cardioprotective roles of exosomeHypoxia in Dox-induced cardiac damage. ExosomeHypoxia may serve as a potential therapeutic target against DIC.Entities:
Keywords: LncRNA-MALAT1/miR-92a-3p/ATG4a signaling pathway; doxorubicin related cardiac senescence; exosome derived from mesenchymal stem cells; hypoxia; mitochondrial metabolism
Mesh:
Substances:
Year: 2020 PMID: 32384281 PMCID: PMC7244027 DOI: 10.18632/aging.103136
Source DB: PubMed Journal: Aging (Albany NY) ISSN: 1945-4589 Impact factor: 5.682
Figure 1Exosomes derived from MSCs pretreated with hypoxia had a better cardioprotective effect. Confirmation of exosomal collection using TEM, NTA, and Western blot analysis. (A) Representative TEM image. (B) Size range of exosomes checked by NTA analysis. (C) Representative Western blot images showing that the exosomal marker CD63, CD81, Flotillin, and Tsg101 were highly expressed in exosome and exosomeHypoxia. β-actin in MSC lysate was examined. (D and E) Cell cycle distribution was analyzed. (F and G) p53 and p21 mRNA levels were analyzed using qRT-PCR. (H–J) p53 and p21 protein levels were analyzed using Western blot analysis. (K) Representative images of SA-β-gal staining. (L) Percentage of β-gal-positive cells. Each column represents the mean ± SD of three independent experiments. *P < 0.05 versus control; ▲P < 0.05 versus Dox + exosomeHypoxia.
Figure 2LncRNA-MALAT1 transferred by exosomes to cardiomyocytes. (A) Heat map of the lncRNAs differentially expressed between exosomes derived from MSCs pretreated with hypoxia (exosomeHypoxia) and exosomes derived from MSCs without any treatment (exosome). (B) Relative lncRNA-MALAT1 expression was validated by qRT-PCR in exosomeHypoxia and exosome; *P < 0.05 versus exosome; (C) LncRNA-MALAT1 mRNA was examined by qRT-PCR in cardiomyocytes incubated with exosomeHypoxia or exosome. The cardiomyocytes without any treatment were used as control; *P < 0.05 versus control; P < 0.05 versus exosomeHypoxia. (D) The siRNA-mediated transfection efficiency in MSCs was demonstrated by qRT-PCR. *P < 0.05 versus siRNA-lncRNA-MALAT1. (E) LncRNA-MALAT1 mRNA in exosomes was examined by qRT-PCR. Each column represents the mean ± SD of three independent experiments. *P < 0.05 versus control; P < 0.05 versus hypoxia + siRNA-lncRNA-MALAT1. (F) LncRNA-MALAT1 mRNA in cardiomyocytes was examined by qRT-PCR. *P < 0.05 versus control; P < 0.05 versus exosomeHypoxia; °P < 0.05 versus exosomeHypoxia+siRNA-LncRNA-NT
Figure 3LncRNA-MALAT1 transferred by exosomes caused rejuvenation against Dox. (A) LncRNA-MALAT1 mRNA in cardiomyocytes was examined by qRT-PCR. *P < 0.05 versus Control; P < 0.05 versus Dox. (B) Cell cycle distribution was analyzed. (C and D) p53 and p21 mRNA levels were analyzed by RT-qPCR. (E) Representative images of SA-β-gal staining. (F) Percentage of β-gal-positive cells. Each column represents the mean ± SD of three independent experiments. *P < 0.05 versus control; P < 0.05 versus Dox; □P < 0.05 versus Dox + exosomeHypoxia+siRNA-lncRNA-MALAT1.
Figure 4LncRNA-MALAT1 directly inhibited miR-92a-3p. (A) Heat map of microRNAs (miRs) differentially regulated by exosomeHypoxia in Dox-treated cardiomyocytes. (B) qRT-PCR validation of the differentially regulated miRs in cardiomyocytes. *P < 0.05 versus Dox. (C) Binding sites of lncRNAs and miRs. (D) Dual-luciferase reporter. *P < 0.05 versus miR-92a-3p mimic in the WT group. (E) miR-92a-3p mRNA levels were analyzed by RT-qPCR. *P < 0.05 versus control; ▲P < 0.05 versus Dox; P<0.05 versus Dox + exosomeHypoxia+siRNA-lncRNA-MALAT1.
Figure 5miR-92a-3p impeded exosome (A) miR-92a-3p mRNA levels were analyzed by qRT-PCR. *P < 0.05 versus miR-92a mimic. (B) Cell cycle distribution was analyzed. (C and D) p53 and p21 mRNA levels were analyzed by qRT-PCR. (E) Representative images of the SA-β-gal staining. (F) Percentage of β-gal-positive cells. Each column represents the mean ± SD of three independent experiments. *P < 0.05 versus control; ▲P < 0.05 versus Dox; P < 0.05 versus Dox + exosome + miR-92a-3p mimic.
Figure 6ATG4a was a direct target of miR-92a-3p. (A) The predicted binding sites between miR-92a-3p and the ATG4a 3'-UTR. (B) A dual-luciferase assay was performed in cardiomyocytes after co-transfection with ATG4a 3'-UTR wild type (WT) or mutant (MUT) plasmids, miR-92a-3p mimic, and miR-NC mimic. *P < 0.05 versus the miR-92a-3p mimic in the WT group. (C and D) Western blot analysis of ATG4a and β-actin protein levels in cardiomyocytes. Untreated cardiomyocytes were used as control. *P < 0.05, versus Control; ▲P < 0.05 versus Dox; P < 0.05 versus Dox + exosome + miR-92a-3p mimic. (E–G) Cardiomyocytes were transfected with siRNA-ATG4a or with siRNA-NT as control. The siRNA-mediated transfection efficiency was determined by qRT-PCR (E) and Western blot analysis (F and G). Each column represents the mean ± SD from three independent experiments. *P < 0.05 versus siRNA-ATG4a.
Figure 7Exosomal lncRNA-MALAT1/miR-92a-3p activated ATG4a to cause rejuvenation. (A) Cell cycle distribution was analyzed. (B and C) p53 and p21 mRNA levels were analyzed by qRT-PCR. (D) Percentage of β-gal-positive cells. (E) Representative images of SA-β -gal staining. Each column represents the mean ± SD of three independent experiments. *P < 0.05 versus control; ▲P<0.05 versus Dox; P < 0.05 versus Dox + exosome + siRNA-ATG4a.
Figure 8Exosome (A) mRNA level of Fabp3, (B) mRNA level of Fabp4, (C) mRNA level of Mtfp1, (D) mRNA level of Cox4i2, (E) mRNA level of Hspa1a, and (F) mRNA level of Atp1b2. *P < 0.05 versus Control; ▲P < 0.05 versus Dox; °P < 0.05 versus Dox + exosomeHypoxia+siRNA-LncRNA-MALAT1; □P < 0.05 versus Dox + exosomeHypoxia + miR-92a-3p mimic; ●P < 0.05 versus Dox + exosomeHypoxia +siRNA-ATG4a.
Primer sequences.
| p53 | F: 5' - CCGCAGTCAGATCCTAGCG -3' |
| R: 5' - CCATTGCTTGGGACGGCAAGG -3' | |
| p21 | F: 5' - CAAGCTCTACCTTCCCACGG -3' |
| R: 5' - GCCAGGGTATGTACATGAGG -3' | |
| LncRNA-MALAT1 | F: 5' - TGCGAGTTGTTCTCCGTCTA -3' |
| R: 5' - TATCTGCGGTTTCCTCAAGC -3' | |
| U6 | F: 5'- GCTTCGGCAGCACATATACTAAAAT -3' |
| R: 5'- CGCTTCACGAATTTGCGTGTCAT -3' | |
| miR-92a-3p | F: 5' - TATTGCACTTGTCCCGGCCTGT -3' |
| R: 5' - CCGAGGCGGCCGACATGTTT-3' | |
| ATG4a | F: 5' - TGCTGGTTGGGGATGTATGC -3' |
| R: 5' - GCGTTGGT ATTCTTTGGGTTGT-3' | |
| Fabp3 | F: 5' - CACCTGGAAGCTAGTGGACA -3' |
| R: 5' - TTCCCTCCATCCAGTGTCAC -3' | |
| Fabp4 | F: 5' - CTGGTGGTGGAATGCGTCATGA -3' |
| R: 5' - CAACGTCCCTTGGCTTATGCTCTCT -3' | |
| Mtfp1 | F: 5' - TAATCCACCCCATCGACAG -3' |
| R: 5' - TCCACTGACGGGTACAGCTT-3' | |
| Cox4i2 | F: 5' - ATTTCCTCCAAAGCCGATCAC -3' |
| R: 5' - GAGACAGCTGGGGATGCAAGTCA-3' | |
| Hspa1a | F: 5' - GTGCTGACCAAGATGAAGGAG -3' |
| R: 5' - GCTGCGAGTCGTTGAAGTAG -3' | |
| Atp1b2 | F: 5' - GAGGACGCACCAGTTTATGGG -3' |
| R: 5' - GGGGTATGGTCGGAGACAGT -3' | |
| GAPDH | F: 5'- TTGCCATCAATGACCCCTTCA -3' |
| R: 5'- CGCCCCACTTGATTT TGGA -3' | |
| siRNA-LncRNA-MALAT1 | 5'- TGCCTTTAGGATTCTAGACA -3' |
| siRNA-LncRNA-NT | 5'- CCTTCCCTGAAGGTTCCTCC -3' |
| siRNA-ATG4a | 5'- AGGACCTGCGCTTCCAGA -3' |
| siRNA-NT | 5'- AGCGTGCGGCTTCTGAAG -3' |