Irisin Ameliorates Renal Tubulointerstitial Fibrosis by Regulating the Smad4/β-Catenin Pathway in Diabetic Mice.

Background: The primary pathophysiology of diabetic kidney disease (DKD) is tubulointerstitial fibrosis (TIF), and an essential contributing element is excessive extracellular matrix deposition. Irisin is a polypeptide formed by splitting fibronectin type III domain containing 5 (FNDC5), which participates in a number of physiological and pathological processes.

Methods: The purpose of this article is to examine irisin's function in DKD and analyze both its in vitro and in vivo effects.

SRF Potentiates Colon Cancer Metastasis and Progression in a microRNA-214/PTK6-Dependent Manner.

Objective: Serum response factor (SRF), a sequence-specific transcription factor, is closely related to metastasis of gastric cancer, a digestive tract cancer. Herein, we probed the effect of SRF on metastasis and progression of colon cancer (CC), another digestive tract disorder, and the detailed mechanism.

Methods: Microarray analysis was conducted on tumor and adjacent tissues to filter differentially expressed miRNA, followed by RT-qPCR validation in CC cell lines.

Mesenchymal Stem Cell-Derived Exosomal microRNA-3940-5p Inhibits Colorectal Cancer Metastasis by Targeting Integrin α6.

Background: Exosomes are potential tools for disease control by regulating intercellular communication through carrying proteins and RNAs between cells or remote organs. Exosome activities have aroused wide concerns in cancer biology and malignancy control.

Aims: This study was performed to explore the roles of mesenchymal stem cell (MSC)-derived exosomes in colorectal cancer (CRC) progression.

The Significant Pathways and Genes Underlying the Colon Cancer Treatment by the Traditional Chinese Medicine PHY906.

Background: We attempted to explore the molecular mechanism underlying PHY906 intervention of colon cancer.

Methods: The microarray data of tumors treated by PHY906 and PBS alone were downloaded from the public Gene Expression Omnibus database. The dataset was further analyzed for the differentially expressed genes (DEGs) and their related biological functions were analyzed, followed by function and pathways.

Global correlation analysis for microRNA and gene expression profiles in human obesity.

Obesity is an increasing health problem associated with major adverse consequences for human health. MicroRNAs (miRNAs), small endogenous non-coding RNAs, regulate the expression of genes that play roles in human body via posttranscriptional inhibition. To identify the miRNAs and their target genes involved in obesity, we downloaded the miRNA and gene expression profiles from gene expression omnibus (GEO) database and analyzed the differentially expressed miRNAs (DEMs) and differentially expressed genes (DEGs) in adipose tissues from obese subjects compared to those from non-obese subjects.