Extrachromosomal circular MiR-17-92 amplicon promotes HCC.

BACKGROUND AND AIMS: Extrachromosomal circular DNAs (eccDNAs) are prevalent in cancer genomes and emerge as a class of crucial yet less characterized oncogenic drivers. However, the structure, composition, genome-wide frequency, and contribution of eccDNAs in HCC, one of the most fatal and prevalent cancers, remain unexplored. In this study, we provide a comprehensive characterization of eccDNAs in human HCC and demonstrate an oncogenic role of microRNA (miRNA)-17-92-containing eccDNAs in tumor progression. APPROACH AND RESULTS: Using the circle-sequencing method, we identify and characterize more than 230,000 eccDNAs from 4 paired samples of HCC tumor and adjacent nontumor liver tissues. EccDNAs are highly enriched in HCC tumors, preferentially originate from certain chromosomal hotspots, and are correlated with differential gene expression. Particularly, a series of eccDNAs carrying the miRNA-17-92 cluster are validated by outward PCR and Sanger sequencing. Quantitative PCR analyses reveal that miRNA-17-92-containing eccDNAs, along with the expression of their corresponding miRNAs, are elevated in HCC tumors and associated with poor outcomes and the age of HCC patients. More intriguingly, exogenous expression of artificial DNA circles harboring the miR-17-92 cluster, which is synthesized by the ligase-assisted minicircle accumulation method, can significantly accelerate HCC cell proliferation and migration. CONCLUSIONS: These findings delineate the genome-wide eccDNAs profiling of HCC and highlight the functional significance of miRNA-containing eccDNAs in tumorigenesis, providing insight into HCC pathogenesis and cancer therapy, as well as eccDNA and miRNA biology.

Key circRNAs, lncRNAs, and mRNAs of ShenQi Compound in Protecting Vascular Endothelial Cells From High Glucose Identified by Whole Transcriptome Sequencing.

ABSTRACT: Vascular endothelial cells, which make up the inner wall of blood arteries, are susceptible to damage from oxidative stress and apoptosis caused by hyperglycemia. According to certain reports, noncoding RNAs are involved in controlling oxidative stress and apoptosis. ShenQi Compound (SQC), a traditional herbal remedy, has been successfully treating diabetic vascular disease in China for more than 20 years. Although it is well established that SQC protects the vascular endothelium, the molecular mechanism remains unknown. Goto-Kakizaki rats, spontaneous type II diabetes rats, that consistently consume a high-fat diet were chosen as model animals. Six groups (control group, model group, metformin group, and 7.2 g/kg/d SQC group, 14.4 g/kg/d SQC group, and 28.8 g/kg/d SQC group) were included in this work, 15 rats each group. The approach of administration was gavage, and the same volume (5.0 mL/kg/d) was given in each group, once a day, 12 weeks. The thoracic aortas were removed after the rats were sacrificed. Oxidative reduction profile in thoracic aorta, histopathological observation of thoracic aorta, endothelial cell apoptosis in thoracic aorta, whole transcriptome sequencing, bioinformatic analyses, and qRT-PCR were conducted. As a result, SQC prevented the oxidative stress and apoptosis induced by a high glucose concentration. Under hyperglycemia condition, noncoding RNAs, including 1 downregulated novel circRNA (circRNA.3121), 3 downregulated lncRNAs (Skil.cSep08, Shawso.aSep08-unspliced, and MSTRG.164.2), and 1 upregulated mRNA (Pcdh17), were clearly reverse regulated by SQC. SQC plays a role in protecting vascular endothelial cells from high glucose mainly by mediating ncRNA to inhibit cell apoptosis and oxidative stress.

Preclinical models for Type 1 Diabetes Mellitus - A practical approach for research.

Numerous preclinical models have been developed to advance biomedical research in type 1 diabetes mellitus (T1DM). They are essential for improving our knowledge of T1DM development and progression, allowing researchers to identify potential therapeutic targets and evaluate the effectiveness of new medications. A deeper comprehension of these models themselves is critical not only to determine the optimal strategies for their utilization but also to fully unlock their potential applications in both basic and translational research. Here, we will comprehensively summarize and discuss the applications, advantages, and limitations of the commonly used animal models for human T1DM and also overview the up-to-date human tissue bioengineering models for the investigation of T1DM. By combining these models with a better understanding of the pathophysiology of T1DM, we can enhance our insights into disease initiation and development, ultimately leading to improved therapeutic responses and outcomes.

Circular RNAs in hepatocellular carcinoma: biogenesis, function, and pathology.

Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related death worldwide. Both genetic and environmental factors through a multitude of underlying molecular mechanisms participate in the pathogenesis of HCC. Recently, numerous studies have shown that circular RNAs (circRNAs), an emerging class of non-coding RNAs characterized by the presence of covalent bonds linking 3' and 5' ends, play an important role in the initiation and progression of cancers, including HCC. In this review, we outline the current status of the field of circRNAs, with an emphasis on the functions and mechanisms of circRNAs in HCC and its microenvironment. We also summarize and discuss recent advances of circRNAs as biomarkers and therapeutic targets. These efforts are anticipated to throw new insights into future perspectives about circRNAs in basic, translational and clinical research, eventually advancing the diagnosis, prevention and treatment of HCC.

Associations of composite dietary antioxidant index with cardiovascular disease mortality among patients with type 2 diabetes.

To investigate the associations of composite dietary antioxidant index (CDAI) with risk of cardiovascular disease (CVD) mortality among individuals with type 2 diabetes (T2D). This prospective cohort study included 7551 patients with T2D who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999 through 2018. Death statistics were gathered by connecting the cohort database to the National Death Index through December 31, 2019. Multivariable Cox proportional hazards regression models were utilized to calculate hazard ratios and 95% CIs for the relationship of CDAI with risks of CVD and all-cause mortality. Three multivariable models were built. Restricted cubic spline analyses were utilized to explore the nonlinear association of CDAI with CVD mortality, and nonlinearity was tested by the likelihood ratio test. This cohort study included data from 7551 participants with T2D (mean [SE] age, 61.4 (0.2) years; 3811 male [weighted, 50.5%] and 3740 female [weighted, 49.5%]; median CDAI level, - 2.19 [IQR, - 2.19 ~ - 0.22]). A total of 2227 all-cause deaths and 746 CVD deaths were identified during an average of 98 months of follow-up. Nonlinear associations were observed for CDAI (P < 0.05 for nonlinearity) with risk of CVD mortality among patients with T2D. Compared with participants in the first quartile of CDAI levels (< - 2.19), the hazard ratios for CVD mortality were 0.47 (95% CI 0.30-0.75) for participants in the highest CDAI level quartile. This cohort study found that higher CDAI levels were significantly associated with lower risk of CVD mortality among individuals with T2D.

Signaling pathways and intervention for therapy of type 2 diabetes mellitus.

Type 2 diabetes mellitus (T2DM) represents one of the fastest growing epidemic metabolic disorders worldwide and is a strong contributor for a broad range of comorbidities, including vascular, visual, neurological, kidney, and liver diseases. Moreover, recent data suggest a mutual interplay between T2DM and Corona Virus Disease 2019 (COVID-19). T2DM is characterized by insulin resistance (IR) and pancreatic ß cell dysfunction. Pioneering discoveries throughout the past few decades have established notable links between signaling pathways and T2DM pathogenesis and therapy. Importantly, a number of signaling pathways substantially control the advancement of core pathological changes in T2DM, including IR and ß cell dysfunction, as well as additional pathogenic disturbances. Accordingly, an improved understanding of these signaling pathways sheds light on tractable targets and strategies for developing and repurposing critical therapies to treat T2DM and its complications. In this review, we provide a brief overview of the history of T2DM and signaling pathways, and offer a systematic update on the role and mechanism of key signaling pathways underlying the onset, development, and progression of T2DM. In this content, we also summarize current therapeutic drugs/agents associated with signaling pathways for the treatment of T2DM and its complications, and discuss some implications and directions to the future of this field.

Unmasking the enigma of lipid metabolism in metabolic dysfunction-associated steatotic liver disease: from mechanism to the clinic.

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly defined as non-alcoholic fatty liver disease (NAFLD), is a disorder marked by the excessive deposition of lipids in the liver, giving rise to a spectrum of liver pathologies encompassing steatohepatitis, fibrosis/cirrhosis, and hepatocellular carcinoma. Despite the alarming increase in its prevalence, the US Food and Drug Administration has yet to approve effective pharmacological therapeutics for clinical use. MASLD is characterized by the accretion of lipids within the hepatic system, arising from a disarray in lipid provision (whether through the absorption of circulating lipids or de novo lipogenesis) and lipid elimination (via free fatty acid oxidation or the secretion of triglyceride-rich lipoproteins). This disarray leads to the accumulation of lipotoxic substances, cellular pressure, damage, and fibrosis. Indeed, the regulation of the lipid metabolism pathway is intricate and multifaceted, involving a myriad of factors, such as membrane transport proteins, metabolic enzymes, and transcription factors. Here, we will review the existing literature on the key process of lipid metabolism in MASLD to understand the latest progress in this molecular mechanism. Notably, de novo lipogenesis and the roles of its two main transcription factors and other key metabolic enzymes are highlighted. Furthermore, we will delve into the realm of drug research, examining the recent progress made in understanding lipid metabolism in MASLD. Additionally, we will outline prospective avenues for future drug research on MASLD based on our unique perspectives.

Modular characteristics and mechanism of action of herbs for type 2 diabetes treatment in Chinese medicine.

Type 2 diabetes (T2D) has emerged as a global epidemic, and conventional treatment approaches often face limitations in achieving long-term glycemic control and preventing complications. Traditional Chinese Medicine (TCM) offers a valuable alternative for managing T2D, with a long history of effectively using herbal formulations in clinical practice. However, the modular characteristics of these herbs and their specific mechanisms of action remain poorly understood. To comprehensively investigate the modular characteristics and mechanisms of Chinese herbs in treating T2D, as well as explore the synergistic interactions among different herbs and their modular components, we employed data mining, systematic pharmacology, and molecular docking. Our aim was to gain a comprehensive understanding of the potential therapeutic targets and pathways involved in herbal T2D treatment. In this study, a total of 1114 studies investigating the effects of TCM interventions in the treatment of T2D in adults were included. The analysis revealed 170 distinct types of Chinese herbs, 118 active components, and 238 common targets shared between the medicine and T2D. Additionally, this study identified six hub proteins (TNF, MMP2, PTGS, CASP3, CASP8, and CASP9) and two key chemicals (Diosgenin and Formononetin) found in TCM-mediated T2D suppression. It was observed that these proteins could bind with the ingredients. The MMP2-Diosgenin interaction exhibited the lowest binding free energy (-13.05 kJ/mol) and was primarily driven by hydrogen bonds with ALA-165. TNF-Diosgenin (-10.5 kcal/mol) showed three hydrogen bonds with LEU-37, ARG-82, and ASN-30. PTGS2 and Diosgenin (-8.71 kJ/mol) demonstrated a hydrogen bond with HIS-214. Furthermore, CASP9-Formononetin (-6.53 kcal/mol) exhibited the lowest binding free energy and hydrogen bonds with GLU-261 and SER-339 as the primary forces involved. CASP3-Formononetin (-6.07 kcal/mol) displayed three hydrogen bonds with ASN-342, TRP-348, and GLU-379. Lastly, CASP8 and Formononetin (-6.06 kJ/mol) formed a hydrogen bond with THR-390, TYR-392, and TYR-334. Moreover, critical therapeutic pathways, such as the immune inflammatory response, AGE-RAGE, and IL-17 signaling pathway, were found to be associated with T2D Chinese herb therapy. In conclusion, this study sheded light on the modular characteristics and mechanism of action of herbs used in Chinese Medicine for the treatment of T2D, which provided valuable insights for both researchers and practitioners in the field of Chinese Medicine, offering potential avenues for improved treatment strategies and personalized approaches to address the complex nature of T2D.