BACKGROUND: Hepatic stellate cells (HSCs) serve as the crucial accelerating factor in the progression of liver fibrosis (LF). In contrast to HSCs, adult-derived human liver stem/progenitor cells (ADHLSCs) exhibit greater potency in terms of differentiation and proliferation, rendering them highly applicable in LF treatment. The objective of this study is to identify new therapeutic targets for LF by comparing differentially expressed genes (DEGs) between ADHLSCs and HSCs.
METHODS: We investigated DEGs between ADHLSCs and HSCs using the GSE49995 dataset obtained from the Gene Expression Omnibus (GEO) database, aiming to identify new therapeutic targets for LF. Subsequently, we activated HSCs to delve deeper into the mesenchyme homeobox 2 (MEOX2), PH domain Leucine-rich repeat protein phosphatase (PHLPP), and Phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT) signaling pathways in LF progression, employing platelet-derived growth factor (PDGF), and conducted infection with Overexpression (OE)-MEOX2 and shRNA-MEOX2 (sh-MEOX2) lentiviruses. Cell viability was assessed using the Cell Counting Kit-8 (CCK-8) assay, while cell proliferation was evaluated through 5-ethynyl-2\'-deoxyuridine (EdU) staining and flow cytometry. Relative mRNA expression levels were determined via qPCR. Western blot analysis was performed to measure protein expression levels, and the regulatory role of MEOX2 was investigated using dual luciferase reporter assays.
RESULTS: We identified 332 DEGs that were down-regulated and 201 DEGs that were up-regulated between ADHLSCs and HSCs. Notably, MEOX2 expression in ADHLSCs was significantly reduced. These DEGs primarily participated in the collagen-containing extracellular matrix and the PI3K/AKT signaling pathway. MEOX2 could inhibit cancer cell proliferation via the PI3K/AKT signaling pathway. Additionally, the JASRPAR2022 database predicted the target gene PHLPP of MEOX2. Our results indicated that OE-MEOX2 significantly inhibited HSCs\' cell vitality and proliferation. Further analysis revealed that MEOX2 binds to PHLPP promoters, thereby up-regulating its transcription. This action led to the inhibition of p-AKT expression, consequently reducing HSC proliferation and slowing the progression of LF.
CONCLUSIONS: MEOX2 up-regulates PHLPP expression and inhibits AKT phosphorylation, thereby reducing the cell activity and proliferation ability of HSCs and inhibiting the progression of LF.

Adipose tissue plays a crucial role in energy metabolism. Several studies have shown that circular RNA (circRNA) is involved in the regulation of fat development and lipid metabolism. However, little is known about their involvement in the adipogenic differentiation of ovine stromal vascular fractions (SVFs). Here, based on previous sequencing data and bioinformatics analysis, a novel circINSR was identified in sheep, which acts as a sponge to promote miR-152 in inhibiting the adipogenic differentiation of ovine SVFs. The interactions between circINSR and miR-152 were examined using bioinformatics, luciferase assays, and RNA immunoprecipitation. Of note, we found that circINSR was involved in adipogenic differentiation via the miR-152/mesenchyme homeobox 2 (MEOX2) pathway. MEOX2 inhibited adipogenic differentiation of ovine SVFs and miR-152 inhibited the expression of MEOX2. In other words, circINSR directly isolates miR-152 in the cytoplasm and inhibits its ability to promote adipogenic differentiation of ovine SVFs. In summary, this study revealed the role of circINSR in the adipogenic differentiation of ovine SVFs and its regulatory mechanisms, providing a reference for further interpretation of the development of ovine fat and its regulatory mechanisms.

Pirarubicin (THP) is widely used in clinical antitumor therapy, but its cardiotoxicity seriously affects the therapeutic effect in patients. In the study, we investigated the role of ring finger protein 10 (RNF10) in cardiotoxicity induced by THP.
A cardiac toxicity model in Sprague-Dawley (SD) rats induced by THP was established. Changes in diet, weight, electrocardiogram (ECG), and echocardiography were observed. Serum levels of brain natriuretic peptide (BNP), creatine kinase MB (CK-MB), cardiac troponin T (cTnT), and lactate dehydrogenase (LDH) were measured. The expression of RNF10 in myocardium was observed by immunohistochemistry. The expressions of RNF10, activator protein-1 (AP-1), mesenchyme homeobox 2 (Meox2), total nuclear factor (NF)-κB p65 (T-P65), phosphorylated NF-κB p65 (PP65), monocyte chemoattractant protein-1 (MCP-1), tumor necrosis factor (TNF)-α, interleukin (IL)-6, and mature IL-1β were detected by Western blot. A THP-induced H9c2 myocardial cell injury model was established. RNF10 was downregulated or overexpressed by RNF10 siRNA and a RNF10 lentiviral vector, respectively. Then, cell viability was measured. The expression of RNF10 in H9c2 cells was observed by immunofluorescence. All of the above signaling pathways were verified by Western blots.
THP caused a series of cardiotoxic manifestations in SD rats. Our studies suggested that THP caused cardiac inflammation by inhibiting the expression of RNF10, while overexpression of RNF10 antagonized the cardiotoxicity induced by THP.
Our study showed RNF10 improved THP-induced cardiac inflammation by regulating the AP-1/Meox2 signaling pathway. RNF10 may be a new target to treat THP-induced cardiotoxicity.

Aim: To investigate associations of MEOX2 expression with clinicopathological features and survival of breast cancer patients. Materials & methods: We used a breast cancer tissue microarray for immunohistochemistry. Associations between MEOX2 expression and clinicopathological features were analyzed using the χ-square test. Survival analysis was determined using a Kaplan-Meier curve. Multivariate Cox regression was used to determine associations of MEOX2 expression with overall survival. Results: We found that 74.1% of patients (100/135) had expression of MEOX2 at varying levels. MEOX2 was associated with histological grade and negatively correlated with Ki67 expression. Lower MEOX2 expression was significantly associated with decreased overall survival (p = 0.0011). Conclusion: MEOX2 expression could be a novel diagnostic and prognostic biomarker of breast cancer.
In this study we found that lower expression of the protein MEOX2 was associated with poor overall survival in breast cancer. MEOX2 is an independent prognostic factor for breast cancer patients. It would be a new diagnostic and prognostic biomarker for breast cancer.

UNASSIGNED: Angiogenesis plays a critical role in the growth and metastasis of breast cancer and angiogenesis inhibition has become an effective strategy for cancer therapy. Our study aimed to clarify the key candidate genes and pathways related to breast cancer angiogenesis.
UNASSIGNED: Differentially expressed genes (DEGs) in the raw breast cancer (BRCA) gene dataset from the Cancer Genome Atlas (TCGA) database were identified and gene ontology analysis of the DEGs was performed. Hub genes were subsequently determined using the Gene Expression Omnibus database. The expression of the mesenchyme homeobox 2 (MEOX2) in breast cancer cells and tissues was assessed by quantification real-time polymerase chain reaction (qRT-PCR) and immunohistochemistry (IHC), respectively. The prognostic value of the MEOX2 gene in breast cancer tissue was evaluated with the Kaplan-Meier plotter.
UNASSIGNED: A total of 61 angiogenesis-related DEGs were identified in the TCGA dataset, among which the gene MEOX2 was significantly down-regulated. GO functional annotation and pathway enrichment analyses showed that MEOX2 was significantly enriched in the regulation of vasculature development. The IHC results confirmed that MEOX2 expression was repressed in breast cancer tissues and the relatively low level indicated the tissue was densely vascularized. Moreover, MEOX2 expression was significantly elevated in breast cancer cells after treatment with cisplatin (DDP) and epirubicin (EPI). Finally, the Kaplan-Meier plotter confirmed that higher expression levels of MEOX2 were related to better overall survival.
UNASSIGNED: Our study revealed that the angiogenesis-associated gene MEOX2 can be used as a novel biomarker for breast cancer diagnosis and clinical therapy.

A cancer-inhibiting role of mesenchyme homeobox 2 (MEOX2) has been observed in several malignancies. However, the association between MEOX2 and breast carcinoma has not been addressed. This research focused on investigating the possible relevance of MEOX2 in breast carcinoma. Initial expression analysis by TCGA data uncovered low levels of MEOX2 in breast carcinoma. We then confirmed that MEOX2 was poorly expressed in clinical tumor specimens of breast carcinoma by real-time quantitative PCR and immunoblotting assays. Moreover, low levels of MEOX2 in breast carcinoma patients were found to be correlated with reduced overall survival. A series of cellular function assays showed that the forced expression of MEOX2 had anticancer effects, including the inhibition of cell proliferation, the induction of G0-G1 phase arrest, the restraint of metastatic potential, and the enhancement of chemosensitivity. Further analysis revealed that MEOX2 negatively modulated the phosphatidyl-inositol-3 kinase (PI3K)/AKT/mammalian target of the rapamycin (mTOR) and extracellular signal-regulated kinase (ERK1/2) pathways. Reactivation of AKT by a chemical activator reversed MEOX2-mediated anticancer effects. An in vivo xenograft assay validated the anticancer function of MEOX2 in breast carcinoma. Taken together, these data show that MEOX2 exerts a cancer-inhibiting role in breast carcinoma by affecting the PI3K/AKT/mTOR and ERK1/2 pathways. This work suggests MEOX2 as a new contributor for breast carcinoma progression, which may be a candidate target for anticancer therapy development.

UNASSIGNED: Oesophageal squamous cell carcinoma (ESCC) is a malignant tumour of the digestive system that is associated with high morbidity and mortality rates worldwide. With the increased use of immunotherapy in cancer treatment, there is an urgent need to elucidate the immune-related mechanisms in ESCC and other digestive system carcinomas.
UNASSIGNED: In our study, single-sample gene set enrichment analysis (ssGSEA) was first performed to analyse the expression profile downloaded from the NCBI Gene Expression Omnibus (GEO) database. Then, via a series of bioinformatic analyses, including the Mann-Whitney test, weighted gene co-expression network analysis (WGCNA), functional enrichment analysis and differentially expressed genes (DEGs) analysis, we identified target immunocytes and related genes. Finally, we validated the results with the TIMER database.
UNASSIGNED: Our analyses showed that the numbers of infiltrating macrophages were obviously higher in advanced stages in ESCC compared with other types of immunocytes. MEOX2 was identified as a biomarker correlated with macrophage infiltration in ESCC and other types of digestive system carcinomas. And MEOX2 expression was strongly associated with the mRNA expression of colony-stimulating factor 1 (CSF-1) and CSF-1 receptor (CSF-1R) in these kinds of carcinomas.
UNASSIGNED: We speculated that MEOX2 could facilitate macrophage infiltration via CSF-1/CSF-1R signalling in ESCC and other kinds of digestive system carcinomas, and MEOX2 might serve as a novel target in prospective tumour immunotherapies.

As bioinformatic approaches have been developed, it has been demonstrated that microRNAs (miRNAs) are involved in the formation of muscles and play important roles in regulation of muscle cell proliferation and differentiation. Previously, it has been demonstrated that miR-148a-3p is one of the most abundant miRNAs in chicken skeletal muscle. Here, we build on that work and demonstrate that miR-148a-3p is important in the control of differentiation of chicken skeletal muscle satellite cells (SMSCs). Elevated expression of miR-148a-3p significantly promoted differentiation and inhibited apoptosis of SMSCs but did not affect proliferation. Furthermore, it was observed that the mesenchyme homeobox 2 (Meox2) is a target gene of miR-148a-3p and that miR-148a-3p can down-regulate expression of Meox2, which promote differentiation of SMSCs and suppress apoptosis. Furthermore, miR-148a-3p overexpression encouraged activation of the PI3K/AKT signaling pathway, which could be recovered by overexpression of Meox2. Overall, these findings suggest that microRNA-148a-3p is a potent promoter of myogenesis via direct targeting of Meox2 and increase of the PI3K/AKT signaling pathway in chicken SMSCs.

Background: Although the diagnosis and treatment of glioblastoma (GBM) is significantly improved with recent progresses, there is still a large heterogeneity in therapeutic effects and overall survival. The aim of this study is to analyze gene expressions of transcription factors (TFs) in GBM so as to discover new tumor markers. Methods: Differentially expressed TFs are identified by data mining using public databases. The GBM transcriptome profile is downloaded from The Cancer Genome Atlas (TCGA). The nonnegative matrix factorization (NMF) method is used to cluster the differentially expressed genes to discover hub genes and signal pathways. The TFs affecting the prognosis of GBM are screened by univariate and multivariate COX regression analysis, and the receiver operating characteristic (ROC) curve is determined. The GBM hazard model and nomogram map are constructed by integrating the clinical data. Finally, the TFs involving potential signaling pathways in GBM are screened by Gene Set Enrichment Analysis (GSEA), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Results: There are 68 differentially expressed TFs in GBM, of which 43 genes are upregulated and 25 genes are downregulated. NMF clustering analysis suggested that GBM patients are divided into three groups: Clusters A, B, and C. LHX2, MEOX2, SNAI2, and ZNF22 are identified from the above differential genes by univariate/multivariate regression analysis. The risk score of those four genes are calculated based on the beta coefficient of each gene, and we found that the predictive ability of the risk score gradually increased with the prolonged predicted termination time by time-dependent ROC curve analysis. The nomogram results have showed that the integration of risk score, age, gender, chemotherapy, radiotherapy, and 1p/19q can further improve predictive ability towards the survival of GBM. The pathways in cancer, phosphoinositide 3-kinases (PI3K)-Akt signaling, Hippo signaling, and proteoglycans, are highly enriched in high-risk groups by GSEA. These genes are mainly involved in cell migration, cell adhesion, epithelial-mesenchymal transition (EMT), cell cycle, and other signaling pathways by GO and KEGG analysis. Conclusion: The four-factor combined scoring model of LHX2, MEOX2, SNAI2, and ZNF22 can precisely predict the prognosis of patients with GBM.

Vascular smooth muscle cell (VSMC) hyperproliferation is the main pathological process in various cardiovascular diseases, such as vascular restenosis. This process may be repressed by RING finger protein 10 (RNF10) in metabolic syndrome (MetS) rats. The aim of this study is to evaluate the inhibitory effects and molecular mechanisms of RNF10 on VSMC hyperproliferation. Neointimal hyperplasia in MetS and high-glucose-induced VSMC hyperproliferation were measured after infection with adenoviruses encoding RNF10 (Ad-RNF10), short hairpin RNF10 (Ad-shRNF10), or green fluorescent protein (Ad-GFP). In vivo and in vitro, we found that overexpression of RNF10 significantly affected neointima formation and VSMC proliferation, and displayed further inhibitory activity by promoting mesenchyme homeobox 2 (Meox2) and suppressing activating protein 1 (AP-1). In contrast, Ad-shRNF10 had an opposite effect on neointimal hyperplasia and VSMC hyperproliferation in vivo and in vitro. Our study indicated that RNF10 inhibited the hyperproliferation with the activities of Meox2 and AP-1 proteins. RNF10 may be a next drug target for treating vascular restenosis and other related cardiovascular diseases. © 2018 IUBMB Life, 71(5):632-642, 2019.