TBX15 and SDHB expression changes in colorectal cancer serve as potential prognostic biomarkers.

Alterations in the expression of certain genes could be associated with both patient mortality rates and drug resistance. This study aimed to identify genes in colorectal cancer (CRC) that potentially serve as hub genes influencing patient survival rates. RNA-Seq data were downloaded from the cancer genome atlas database, and differential expression analysis was performed between tumors and healthy controls. Through the utilization of univariate and multivariate Cox regression analyses, in combination with the MCODE clustering module, the genes whose expression changes were related to survival rate and the hub genes related to them were identified. The mortality risk model was computed using the hub genes. CRC samples and the RT-qPCR method were utilized to confirm the outcomes. PharmacoGx data were employed to link the expression of potential genes to medication resistance and sensitivity. The results revealed the discovery of seven hub genes, which emerged as independent prognostic markers. These included HOXC6, HOXC13, HOXC8, and TBX15, which were associated with poor prognosis and overexpression, as well as SDHB, COX5A, and UQCRC1, linked to favorable prognosis and downregulation. Applying the risk model developed with the mentioned genes revealed a markedly higher incidence of deceased patients in the high-risk group compared to the low-risk group. RT-qPCR results indicated a decrease in SDHB expression and an elevation in TBX15 levels in cancer samples relative to adjacent healthy tissue. Also, PharmacoGx data indicated that the expression level of SDHB was correlated with drug sensitivity to Crizotinib and Dovitinib. Our findings highlight the potential association between alterations in the expression of genes such as HOXC6, HOXC13, HOXC8, TBX15, SDHB, COX5A, and UQCRC1 and increased mortality rates in CRC patients. As revealed by the PPI network, these genes exhibited the most connections with other genes linked to survival.

Pathological roles of miRNAs and pseudogene-derived lncRNAs in human cancers, and their comparison as prognosis/diagnosis biomarkers.

This review examines and compares the diagnostic and prognostic capabilities of miRNAs and lncRNAs derived from pseudogenes in cancer patients. Additionally, it delves into their roles in cancer pathogenesis. Both miRNAs and pseudogene-derived lncRNAs have undergone thorough investigation as remarkably sensitive and specific cancer biomarkers, offering significant potential for cancer detection and monitoring. . Extensive research is essential to gain a complete understanding of the precise roles these non-coding RNAs play in cancer, allowing the development of novel targeted therapies and biomarkers for improved cancer detection and treatment approaches.

The biological role of lncRNAs in the acute lymphocytic leukemia: An updated review.

The cause of leukemia, a common malignancy of the hematological system, is unknown. The structure of long non-coding RNAs (lncRNAs) is similar to mRNA but no ability to encode proteins. Numerous malignancies, including different forms of leukemia, are linked to Lnc-RNAs. It is verified that the carcinogenesis and growth of a variety of human malignancies are significantly influenced by aberrant lncRNA expression. The body of evidence linking various types of lncRNAs to the etiology of leukemia has dramatically increased during the past ten years. Some lncRNAs are therefore anticipated to function as novel therapeutic targets, diagnostic biomarkers, and clinical outcome predictions. Additionally, these lncRNAs may provide new therapeutic options and insight into the pathophysiology of diseases, particularly leukemia. Thus, this review outlines the present comprehension of leukemia-associated lncRNAs.

Unveiling the regulatory of miR-101-3p on ZNF746 in a Parkinson's disease cell model: Implications for therapeutic targeting.

In this study, we explored the regulatory role of microRNA miR-101-3p on the zinc finger protein 746 (ZNF746), also known as PARIS, which is implicated in both sporadic and familial forms of Parkinson's disease. In a Parkinson's disease cell model, utilizing SH-SY5Y cells treated with 1-methyl-4-phenylpyridine (MPP+), we observed that miR-101-3p was downregulated, while ZNF746 was upregulated. To investigate the direct impact of miR-101-3p on ZNF746, our team conducted overexpression experiments, successfully reversing ZNF746's expression at both the mRNA and protein levels, as confirmed through quantitative PCR and western blotting. We also performed luciferase assays, providing compelling evidence that ZNF746 is a direct target of miR-101-3p. Additionally, we noted that miR-101-3p overexpression resulted in increased expression of PGC1α, a gene targeted by ZNF746. Functionally, we assessed the implications of miR-101-3p overexpression through MTS assays and flow cytometry, revealing significant promotion of cell viability, inhibition of ROS production, and reduced apoptosis in the Parkinson's disease cell model. In conclusion, this study highlights the role of miR-101-3p in regulating ZNF746 expression and suggests its potential as a therapeutic target for Parkinson's disease. These findings provide valuable molecular insights that could pave the way for innovative treatment strategies in combating this debilitating neurodegenerative disorder.

Synergistic effects of punicic acid and alpha lipoic acid ameliorate inflammatory and metabolic genes expression in C2C12 myoblast cells under oxidative stress condition.

Inflammation is a reaction of the immune system to infection and injury; in fact, it positioned at the center of metabolic disorders, particularly obesity, type 2 diabetes, and cardiovascular diseases. Thus play a major role not only in their development, but also exerts as a crucial linking factor among those diseases. In this regard, one of the strategies for tackling this problem is application of antioxidants to treat such diseases. The present study was performed to evaluate the synergistic effects of punicic acid (PUA) and alpha-lipoic acid (ALA) as antioxidants and radical scavenging reagents on the expression of some inflammatory and metabolism-related genes under oxidative stress in the muscle cells. The experimental treatments consisted of a range of 20, 40, 80, 160, and 320 µM of PUA, and 5, 25, 50, 100, and 200 µM of ALA with a 200 µM concentration of H2 O2 as an oxidative stress inducer. Accordingly, fatty acid treatments were applied for 24 h, and H2 O2 was treated for 1 h. Our results indicated that the simultaneous treatment of PUA and ALA at optimal concentrations (80 and 50 µM, respectively) decreased the expression of inflammation genes and increased the expression of regulatory genes (Pparγ, Pgc-1α) related to metabolism (p < .05). Unexpectedly, H2 O2 treatment increased the Fndc5 expression (p < .05). Maximal upregulation of Pparγ, Pgc-1α were obtained when fatty acids combination (PUA and ALA) were used in the culture of H2 O2 treated cells (p < .05). Therefore, our findings suggest that the simultaneous use of PUA and ALA fatty acids could reduce oxidative stress, and the expression of inflammatory genes, thereby improving the cell metabolism.

Analyzing alternative splicing in Alzheimer's disease postmortem brain: a cell-level perspective.

Alzheimer's disease (AD) is a neurodegenerative disease with no effective cure that attacks the brain's cells resulting in memory loss and changes in behavior and language skills. Alternative splicing is a highly regulated process influenced by specific cell types and has been implicated in age-related disorders such as neurodegenerative diseases. A comprehensive detection of alternative splicing events (ASEs) at the cellular level in postmortem brain tissue can provide valuable insights into AD pathology. Here, we provided cell-level ASEs in postmortem brain tissue by employing bioinformatics pipelines on a bulk RNA sequencing study sorted by cell types and two single-cell RNA sequencing studies from the prefrontal cortex. This comprehensive analysis revealed previously overlooked splicing and expression changes in AD patient brains. Among the observed alterations were changed in the splicing and expression of transcripts associated with chaperones, including CLU in astrocytes and excitatory neurons, PTGDS in astrocytes and endothelial cells, and HSP90AA1 in microglia and tauopathy-afflicted neurons, which were associated with differential expression of the splicing factor DDX5. In addition, novel, unknown transcripts were altered, and structural changes were observed in lncRNAs such as MEG3 in neurons. This work provides a novel strategy to identify the notable ASEs at the cell level in neurodegeneration, which revealed cell type-specific splicing changes in AD. This finding may contribute to interpreting associations between splicing and neurodegenerative disease outcomes.

Galactosylation of rat natural scaffold for MSC differentiation into hepatocyte-like cells: A comparative analysis of 2D vs. 3D cell culture techniques.

The liver plays a crucial role in drug detoxification, and the main source of liver transplants is brain-dead patients. However, the demand for transplants exceeds the available supply, leading to controversies in selecting suitable candidates for acute liver diseases. This research aimed to differentiate mesenchymal stem cells (MSCs) into hepatocyte-like cells using galactosylated rat natural scaffolds and comparing 2-D and 3-D cell culture methods. The study involved isolating and culturing Wharton's jelly cells from the umbilical cord, examining surface markers and adipogenic differentiation potential of MSCs, and culturing mesenchymal cells on galactosylated scaffolds. The growth and proliferation of stem cells on the scaffolds were evaluated using the MTT test, and urea synthesis was measured in different culture environments. Changes in gene expression were analyzed using real-time PCR. Flow cytometry results confirmed the presence of specific surface antigens on MSCs, indicating their identity, while the absence of a specific antigen indicated their differentiation into adipocytes. The MTT test revealed higher cell attachment to galactosylated scaffolds compared to the control groups. Urea secretion was observed in differentiated cells, with the highest levels in cells cultured on galactosylated scaffolds. Gene expression analysis showed differential expression patterns for OCT-4, HNF1, ALB, AFP, and CYP genes under different conditions. The findings indicated that hepatocyte-like cells derived from 3D cultures on galactosylated scaffolds exhibited superior characteristics compared to cells in other culture conditions. These cells demonstrated enhanced proliferation, stability, and urea secretion ability. The study also supported the differentiation potential of MSCs derived from Wharton's jelly umbilical cord into liver-like cells.

Integrated High-Throughput Bioinformatics (Microarray, RNA-Seq, and RNA Interaction) and qRT-PCR Investigation of BMPR1B Axis as a Potential Diagnostic Biomarker of Isfahan Breast Cancer.

Background: According to the bioinformatics analyses and previous studies, bone morphogenetic protein receptor type 1B (BMPR1B) dysregulation could remarkably affect breast cancer (BC) status as a potential biomarker and tumor suppressor. Therefore, the analysis of the expression level of BMPR1B and other relevant biological factors such as microRNAs, long non-coding RNAs, downstream proteins in the relevant signaling pathways, and finding the accurate biological mechanism of BMPR1B could be helpful for a better understanding of BC pathogenicity and discovering the new treatment methods and drugs. Materials and Methods: R Studio software (4.0.2) was used for microarray data analyses. GSE31448 dataset was downloaded by GEOquery package and analyzed by limma package. STRING and miRWalk online databases and Cytoscape software were used for interaction analyses. Quantitative measurement of BMPR1B expression level was performed by qRT-PCR experiment. Result: Microarray and real-time PCR analysis revealed that BMPR1B has a significant downregulation in the transforming growth factor (TGF)-beta and bone morphogenic protein (BMP) signaling pathways in BC samples. BMPR1B is a potential diagnostic biomarker, regulated by hsa-miR-181a-5p. Also, BMPR1B regulates the function of BMP2, BMP6, SMAD4, SMAD5, and SMAD6 proteins. Discussion: BMPR1B have a significant role in the development of BC by regulating the potential proteins' function, playing the diagnostic biomarker role, and regulation of TGF-beta and BMP signaling pathways. The high amount of BMPR1B protein helps in increasing the survival rate of the patients.

Therapeutic effects of guanidine hydrochloride on breast cancer through targeting KCNG1 gene.

BACKGROUND: Triple-negative breast cancer (TNBC) is one of the subtypes of breast cancer (BC) that is associated with poor survival rates and failure to respond to hormonal and targeted therapies. OBJECTIVE: The aim of this study was to identify a specific gene at the expression level for TNBC and targeting of this type of breast cancer based on it. Using TCGA database, genes that are particularly high expression in TNBC subtypes compared to other BC subtypes (in terms of receptor status) and normal samples were identified and their sensitivity and specificity were evaluated. Using PharmacoGX and Drug Bank data, drug sensitivity and drug-appropriate genes were identified, respectively. The effects of the identified drug on triple-negative cell lines (MDA-MB-468) were evaluated in comparison with the cell line of other subtypes (MCF7) by apoptosis and MTS tests. RESULTS: Data analyzes showed that the expression level of KCNG1 gene in the TNBC subgroup was significantly higher compared to other BC subtypes from the KCN gene family and ROC results showed that this gene had highest sensitivity and specificity in TNBC subtype. The results of drug resistance and sensitivity showed that an increase in the expression level of KCNG1 was associated with sensitivity to Cisplatin and Oxaliplatin. Moreover, Drug Bank results showed that Guanidine hydrochloride (GuHCl) was a suitable inhibitor for KCNG1. In vitro results showed that the expression level of KCNG1 was higher in MDA-MB-468 compared to MCF7. In addition, the rate of apoptosis in response to GuHCl treatment in MDA-MB-468 cell line as TNBC cell model was higher than MCF7 in the same concentration. CONCLUSION: This study revealed that GuHCl could be a suitable treatment for TNBC subtype by targeting of KCNG1.

Colon cancer transcriptome.

Over the last four decades, methodological innovations have continuously changed transcriptome profiling. It is now feasible to sequence and quantify the transcriptional outputs of individual cells or thousands of samples using RNA sequencing (RNA-seq). These transcriptomes serve as a connection between cellular behaviors and their underlying molecular mechanisms, such as mutations. This relationship, in the context of cancer, provides a chance to unravel tumor complexity and heterogeneity and uncover novel biomarkers or treatment options. Since colon cancer is one of the most frequent malignancies, its prognosis and diagnosis seem to be critical. The transcriptome technology is developing for an earlier and more accurate diagnosis of cancer which can provide better protectivity and prognostic utility to medical teams and patients. A transcriptome is a whole set of expressed coding and non-coding RNAs in an individual or cell population. The cancer transcriptome includes RNA-based changes. The combined genome and transcriptome of a patient may provide a comprehensive picture of their cancer, and this information is beginning to affect treatment decision-making in real-time. A full assessment of the transcriptome of colon (colorectal) cancer has been assessed in this review paper based on risk factors such as age, obesity, gender, alcohol use, race, and also different stages of cancer, as well as non-coding RNAs like circRNAs, miRNAs, lncRNAs, and siRNAs. Similarly, they have been examined independently in the transcriptome study of colon cancer.

Coordinated modification in expression levels of HSPA1A/B, DGKH, and NOTCH2 in Parkinson's patients' blood and substantia nigra as a diagnostic sign: the transcriptomes' relationship.

BACKGROUND: Diagnosis of Parkinson's disease (PD) is associated with a vast number of challenges. This study aimed to assess the overlap of PD patients' transcriptomes in the substantia nigra (SN) with peripheral blood mononuclear cells (PBMCs) to discover potential biomarkers for diagnosis. METHODS: GEO data were used to select genes with significant changes in expression level in the SN region and eligible studies. Also, transcriptome data related to blood of PD patients with other neurodegenerative diseases (ND) was considered. Differential expression genes between PD and control were evaluated in the SN and blood, and RT-qPCR was applied to validate the findings. RESULTS: At the expression level, no significant similarity in long non-coding RNA was found between the patients' SN and blood. While in silico results revealed 16 common mRNAs in SN and blood with significant expression levels. Among all overexpressed mRNAs, HSPA1A/B expression level had the highest expression difference between control and PD samples. Moreover, DGKH had the highest score of down-regulated genes in both blood and SN. The NOTCH pathway had the highest score pathway among up-regulated pathways, and the expression levels of NOTCH2, H4C8, and H2BC21 associated with this pathway had the most ability to separate the control and PD populations. Furthermore, RT-qPCR results revealed that HSPA1A/B, NOTCH2, and H4C8 were overexpressed in PD PBMCs, while DGKH expression levels were lower compared to controls. CONCLUSION: Our findings indicate that expression levels of HSPA1A/B, DGKH, and NOTCH2 could be applied as candidate biomarkers to diagnose PD patients in the SN region and PBMCs.

Diagnostic and therapeutic potential of LINC01929 as an oncogenic LncRNA in human cancers.

Recent findings have shown the significant role of long non-coding RNAs in the pathogenesis of various cancers. In this regard, the variation in the expression of LINC01929 was explored in various cancers to explore its impact on the development of diverse malignancies and cancers. The data of the cancer genome atlas (TCGA) were utilized to evaluate the changes in the expression of LINC01929 in various cancers, as well as its relationship with the patients' survival rate. The co-expression of the genes and data merging of TCGA were utilized to identify the LINC01929-associated pathways. The samples of colorectal, gastric, and breast cancers were also examined by the RT-qPCR to confirm the results and evaluate the expression of LINC01929 in the mentioned cancers. In silico investigations indicated a remarkable enhancement in the expression of LINC01929 within the tumor tissues compared to normal samples in 10 types of cancer. Based on the survival results, the increase in the LINC01929 expression is linked to poor prognosis of bladder, breast, colorectal, kidney, and liver cancers. The gene co-expression network showed the strong co-expression of LINC01929 with genes involved in the metastatic pathways including COL5A1. RT-qPCR findings showed a remarkable increment in the expression level of LINC01929 in the colorectal, gastric, and breast tumor tissues versus the adjacent normal tissues. A significant and strong relationship was also found between the expression of LINC01929 and COL5A1. This study indicated a significant enhancement in the expression level of LINC01929 in various cancer types, accompanied by the mortality rate. Moreover, LINC01929 exhibited a strong co-expression with the metastatic genes such as COL5A1. As an oncogene and regulator of the metastatic pathways, LINC01929 can be a proper candidate for diagnostic and therapeutic purposes.

The PBX1/miR-141-miR-200a/EGR2/SOCS3 Axis; Integrative Analysis of Interaction Networks to Discover the Possible Mechanism of MiR-141 and MiR-200a-Mediated Th17 Cell Differentiation.

Background: Overexpression of miR-141 and miR-200a is known to be associated with the differentiation of T helper 17 (Th17) cells, which are key players in the pathophysiology of autoimmune disorders. However, the function and governing mechanism of these two microRNAs (miRNAs) in Th17 cell skewing are poorly defined. Objectives: The aim of the present study was to identify the common upstream transcription factors and downstream target genes of miR-141 and miR-200a to obtain a better insight into the possible dysregulated molecular regulatory networks driving miR-141/miR-200a-mediated Th17 cell development. Materials and Methods: A consensus-based prediction strategy was applied for in-silico identification of potential transcription factors and putative gene targets of miR-141 and miR-200a. Thereafter, we analyzed the expression patterns of candidate transcription factors and target genes during human Th17 cell differentiation by quantitative real-time PCR and examined the direct interaction between both miRNAs and their potential target sequences using dual-luciferase reporter assays. Results: According to our miRNA-based and gene-based interaction network analyses, pre-B cell leukemia homeobox (PBX1) and early growth response 2 (EGR2) were respectively taken into account as the potential upstream transcription factor and downstream target gene of miR-141 and miR-200a. There was a significant overexpression of the PBX1 gene during the Th17 cell induction period. Furthermore, both miRNAs could directly target EGR2 and inhibit its expression. As a downstream gene of EGR2, the suppressor of cytokine signaling 3 (SOCS3) was also downregulated during the differentiation process. Conclusions: These results indicate that activation of the PBX1/miR-141-miR-200a/EGR2/SOCS3 axis may promote Th17 cell development and, therefore, trigger or exacerbate Th17-mediated autoimmunity.

The expression changes of transcription factors including ANKZF1, LEF1, CASZ1, and ATOH1 as a predictor of survival rate in colorectal cancer: a large-scale analysis.

INTRODUCTION: Transcription factors (TFs) are essential for many biological processes and regulate the expression of several genes. This study's objective was to analyze the abnormalities in TF expression, their impact on patient prognosis, and related pathways in colorectal cancer (CRC). METHOD: The expression alterations of all TFs were investigated using the cancer genome atlas and GSE39582 data. Clinical data were also used to study the association between TFs expression and patient prognosis through the Cox regression test, and a predictive model of CRC patient survival was constructed based on TFs expression. Co-expression network was used to discover TF-related pathways. To validate the findings, the RT-qPCR method was applied to CRC samples and adjacent normal tissue. RESULTS: The findings revealed that ANKZF1, SALL4, SNAI1, TIGD1, LEF1, FOXS1, SIX4, and ETV5 expression levels increased in both cohorts and were linked to the poor prognosis. NR3C2, KLF4, CASZ1, FOXD2, ATOH1, SALL1, and RORC expression, on the other hand, exhibited a significant decrease, and their increase was related to the good prognosis of patients. The patient mortality risk model based on expression of mentioned TFs revealed that, independent of clinical characteristics, the expression of ANKZF1, LEF1, CASZ1, and ATOH1 could accurately predict patient survival rates. According to the co-expression network, increased transcription factors were linked to metastatic pathways, while decreasing TFs were involved to apoptotic pathways. RT-qPCR findings showed that FOXS1 expression was markedly overexpressed in CRC samples. However, in CRC samples, the expression of CASZ1 decreased. CONCLUSION: In CRC, TFs expression of ANKZF1, LEF1, CASZ1 and ATOH1 are deregulated, which are associated with prognosis in patients. According to our findings, changes in the expression of the mentioned TFs have the potential to be considered diagnostic and prognostic biomarkers for CRC patients.

The effect of green coffee and/or endurance exercise on sperm function in pre-diabetic mice.

This study aimed to investigate the effect of green coffee (GC), chlorogenic acid (CA) as an active ingredient of GC and exercise, alone or in a combination with exercise, on spermatogenesis and sperm function in pre-diabetic mice. Results revealed that pre-diabetic status can have a significant adverse effect on spermatogenesis (Johnson score), and sperm concentration, motility, DNA damage and persistent histone in compared to the control group. Although lipid peroxidation, intracellular ROS production, and persistent histones in sperm were high in pre-diabetic mice, exercise only can improve sperm motility. GC alone only improved sperm motility in pre-diabetic mice while CA alone, even did not have this beneficial effect. However, GC along with exercise, did not improve motility but reduce DNA damage, while CA with exercise, significantly improved motility compared to pre-diabetic stage and to the level comparable to control. Therefore, based on this result in individuals with high DNA damage, GC supplementation and exercise could be useful approach while in asthenozoospermia, CA supplementation and exercise should be considered as an alternative approach. However, such an interpretation awaits validation.

Pioglitazone Mediates Cardiac Progenitor Formation through Increasing ROS Levels.

In order to achieve a sufficient population of cardiac-committed progenitor cells, it is crucial to know the mechanisms of cardiac progenitor formation. Previous studies suggested ROS effect on cardiac commitment events to play a key role in the cell signaling and activate cardiac differentiation of pluripotent stem cells. We previously reported that PPARγ activity is essential for cardiac progenitor cell commitment. Although several studies have conducted the involvement of PPARγ-related signaling pathways in cardiac differentiation, so far, the regulatory mechanisms of these signaling pathways have not been discussed and cleared. In this study, we focus on the role of PPARγ agonist in ROS generation and its further effects on the differentiation of cardiac cells from mESCs. The results of this study show that the presence of ROS is necessary for heart differentiation in the precursor stage of cardiac cells, and the coenzyme Q10 antioxidant precludes proper cardiac differentiation. In addition, this antioxidant prevents the action of pioglitazone in increasing oxygen radicals as well as beating cardiomyocyte differentiation properties. In this case, it can be concluded that PPARγ is required to modulate ROS levels during cardiac differentiation.

Elevated CDK5R1 expression associated with poor prognosis, proliferation, and drug resistance in colorectal and breast malignancies: CDK5R1 as an oncogene in cancers.

BACKGROUND: Studies have shown that the CDK5R1 gene could have a part in some types of cancer. This study sought to examine the relationship between CDK5R1 expression and prognosis and medication resistance in 13 commonly occurring cancers. METHOD: The cancer genome atlas data and clinical data were utilized to assess the role of CDK5R1 in malignancies. The expression data of 13 cancers were also integrated and used for the co-expression network. The relationship between CDK5R1 expression and drug resistance and sensitivity was evaluated using pharmacogenomics data. The colorectal cancer (CRC) and breast cancer (BC) were used to confirm the results through the RT-qPCR method. RESULTS: With the exception of gastric cancer, all common malignancies showed an increase in CDK5R1 expression. Also, outcomes of sensitivity and specificity showed that CDK5R1 level could be a really good potential biomarker. Additionally, CDK5R1 expression was higher in CRC and BC samples compared to adjacent normal, according to RT-qPCR data. In six types of tumors and combined data, a poor prognosis was associated with increased CDK5R1 expression. The CDK5R1-associated genes were connected to the primary oncogenic pathways in cancer cells, according to the co-expression network. Also, CDK5R1 level was significantly linked to the resistance and sensitivity of several chemotherapy drugs and caused the highest resistance to cyclophosphamide. CONCLUSION: CDK5R1 expression is upregulated in 12 prevalent cancers and can play an oncogenic role. Also, this gene's expression could be used as a biomarker to predict patient survival and medication resistance.

Noncoding RNAs Associated with PPARs in Etiology of MAFLD as a Novel Approach for Therapeutics Targets.

Background: Metabolic associated fatty liver disease (MAFLD) is a complex disease that results from the accumulation of fat in the liver. MAFLD is directly associated with obesity, insulin resistance, diabetes, and metabolic syndrome. PPARγ ligands, including pioglitazone, are also used in the management of this disease. Noncoding RNAs play a critical role in various diseases such as diabetes, obesity, and liver diseases including MAFLD. However, there is no adequate knowledge about the translation of using these ncRNAs to the clinics, particularly in MAFLD conditions. The aim of this study was to identify ncRNAs in the etiology of MAFLD as a novel approach to the therapeutic targets. Methods: We collected human and mouse MAFLD gene expression datasets available in GEO. We performed pathway enrichment analysis of total mRNAs based on KEGG repository data to screen the most potential pathways in the liver of MAFLD human subjects and mice model, and analyzed pathway interconnections via ClueGO. Finally, we screened disease causality of the MAFLD ncRNAs, which were associated with PPARs, and then discussed the role of revealed ncRNAs in PPAR signaling and MAFLD. Results: We found 127 ncRNAs in MAFLD which 25 out of them were strongly validated before for regulation of PPARs. With a polypharmacology approach, we screened 51 ncRNAs which were causal to a subset of diseases related to MAFLD. Conclusion: This study revealed a subset of ncRNAs that could help in more clear and guided designation of preclinical and clinical studies to verify the therapeutic application of the revealed ncRNAs by manipulating the PPARs molecular mechanism in MAFLD.

Identification of a novel interplaying loop of PPARγ and respective lncRNAs are involved in colorectal cancer progress.

Long noncoding RNAs (lncRNAs) as regulatory molecules play important roles in early treatment and diagnosis of cancers. Considering the role of PPARγ in colorectal cancer (CRC) as a tumor suppressor, the GEO database was used to identify candidate genes that affect the activation of PPARγ protein in CRC cell lines. Then were selected 5 genes containing PPARγ response element (PPRE) in up to 4000 bp upstream and were affected by PPARγ protein activation in HT-29 colon cancer cell line using UCSC database. Expression meta-analysis was applied to map the expression network between candidate genes and all known lncRNAs through expression correlation and lncRNAs that correlated with a greater number of candidate genes (R > 0.5, P.value < 0.001). Moreover, were selected 3 lncRNAs as lncRNAs affected by PPARγ protein activation. Next, the expression levels of candidate genes and lncRNAs were evaluated using RT-qPCR in HT-29 cell line. Results showed a significant increase (FDR <0.05) in the expression level of 5 candidate genes and lncRNAs LINC01133, MBNL1-AS, LOC100288911 after treatment with pioglitazone as PPARγ ligand compared to the untreated group in HT-29 cells. Although additional tests are needed to confirm bioinformatics predictions, it can be concluded that increased expression of PPARγ may increase genes and lncRNAs expression. In summary, this study could be suggested identifying lncRNAs affected by PPARγ activation could be a new strategy in understanding the function and activity of PPARγ in colon cancer.