2021
DOI: 10.3390/ijms221910574
|View full text |Cite
|
Sign up to set email alerts
|

miR-29a-3p/THBS2 Axis Regulates PAH-Induced Cardiac Fibrosis

Abstract: Pulmonary artery hypertension (PAH) pathology involves extracellular matrix (ECM) remodeling in cardiac tissues, thus promoting cardiac fibrosis progression. miR-29a-3p reportedly inhibits lung progression and liver fibrosis by regulating ECM protein expression; however, its role in PAH-induced fibrosis remains unclear. In this study, we aimed to investigate the role of miR-29a-3p in cardiac fibrosis progression in PAH and its influence on ECM protein thrombospondin-2 (THBS2) expression. The diagnostic and pro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
11
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 26 publications
(14 citation statements)
references
References 65 publications
0
11
0
Order By: Relevance
“…The THBS2 protein has a substantial role in facilitating the proliferation, migration, and invasion of tumor cells [ 29 ]. It has also been reported highly associated with organ fibrosis, such as cardiac, liver, and kidney fibrosis, for it participates in the formation and repair of ECM [ [30] , [31] , [32] ]. Furthermore, THBS2 had previously been discovered upregulated in IPF patients, but it was rarely studied in the pathogenesis of pulmonary fibrosis [ 33 ].…”
Section: Discussionmentioning
confidence: 99%
“…The THBS2 protein has a substantial role in facilitating the proliferation, migration, and invasion of tumor cells [ 29 ]. It has also been reported highly associated with organ fibrosis, such as cardiac, liver, and kidney fibrosis, for it participates in the formation and repair of ECM [ [30] , [31] , [32] ]. Furthermore, THBS2 had previously been discovered upregulated in IPF patients, but it was rarely studied in the pathogenesis of pulmonary fibrosis [ 33 ].…”
Section: Discussionmentioning
confidence: 99%
“…39,40 In the context of cardiac fibrosis, miR-29a-3p exerts its anti-fibrotic effect by targeting and inhibiting THBS2 expression. 41 Moreover, transcriptomic analyses have identified THBS2 as a potential biomarker for nonalcoholic steatohepatitis and advanced liver fibrosis. 42 Deep learning CNN was employed for model construction and validation, demonstrating stability and accuracy with the ROCs of the training set (AUC = 0.853) and validation set (AUC = 1.000).…”
Section: Discussionmentioning
confidence: 99%
“… 39 , 40 In the context of cardiac fibrosis, miR‐29a‐3p exerts its anti‐fibrotic effect by targeting and inhibiting THBS2 expression. 41 Moreover, transcriptomic analyses have identified THBS2 as a potential biomarker for non‐alcoholic steatohepatitis and advanced liver fibrosis. 42 …”
Section: Discussionmentioning
confidence: 99%
“…The expression of CCL18 [109], SLAMF7 [110], GPR174 [111], CCR4 [112], POU4F2 [113]. CCR2 [114], IL2RB [115], CCL4 [116], CCL24 [117], FASLG (Fas ligand) [118], CD24 [119], TDGF1 [120], CD28 [121], IL7R [122], CYP11B1 [123], CCL5 [124], CCL3 [125], LTF (lactotransferrin) [126], GPNMB (glycoprotein nmb) [127], CD209 [128], IL2RG [129], CHIT1 [130], TAB2 [131], CD163 [132], ALOX15B [133], NMRK2 [134], HGF (hepatocyte growth factor) [135], TRPM8 [136], DIO3 [137], SIGLEC1 [138], TTR (transthyretin) [139], IL24 [140], F13A1 [141], IL9 [142], VEGFA (vascular endothelial growth factor A) [143], RASAL1 [144], ADM (adrenomedullin) [145], ANGPTL4 [146], CHI3L1 [147], LDB3 [148], CNP (2’,3’-cyclic nucleotide 3’ phosphodiesterase) [149], HES6 [150], CMTM5 [151], PLXNB3 [152], KLK8 [153], CDKN1C [154], INSIG1 [155], GREM1 [156], ATF3 [157], HK2 [158], MCAM (melanoma cell adhesion molecule) [159], SEMA4D [160], GLUL (glutamate-ammonia ligase) [161], S1PR5 [162], FN3K [163], MEIS1 [164], ADAMTS4 [165], BIN1 [166], BMP2 [167], LMNA (lamin A/C) [168], ERBB3 [169], DLL1 [170], THBS2 [171], GADD45B [172], MYH6 [173]. PNPLA3 [174], ACTN2 [175], MMP15 [176], SVEP1 [177], CPB2 [178], DYSF (dysferlin) [179], ADAMTSL2 [180], NINJ2 [181], LRP2 [106], PHLDA3 […”
Section: Discussionmentioning
confidence: 99%