Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks.

Background: Many biological studies have shown that lncRNAs regulate the expression of epigenetically related genes. The study of lncRNAs has helped to deepen our understanding of the pathogenesis of complex diseases at the molecular level. Due to the large number of lncRNAs and the complex and time-consuming nature of biological experiments, applying computer techniques to predict potential lncRNA-disease associations is very effective.

Applying negative sample denoising and multi-view feature for lncRNA-disease association prediction.

Increasing evidence indicates that mutations and dysregulation of long non-coding RNA (lncRNA) play a crucial role in the pathogenesis and prognosis of complex human diseases. Computational methods for predicting the association between lncRNAs and diseases have gained increasing attention. However, these methods face two key challenges: obtaining reliable negative samples and incorporating lncRNA-disease association (LDA) information from multiple perspectives.

GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations.

Background: A growing body of researches indicate that the disrupted expression of long non-coding RNA (lncRNA) is linked to a range of human disorders. Therefore, the effective prediction of lncRNA-disease association (LDA) can not only suggest solutions to diagnose a condition but also save significant time and labor costs.

Method: In this work, we proposed a novel LDA predicting algorithm based on graph convolutional network and transformer, named GCNFORMER.

Effects of vitamin D supplementation on glucose and lipid metabolism in patients with type 2 diabetes mellitus and risk factors for insulin resistance.

Background: Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease featured by insulin resistance (IR) and decreased insulin secretion. Currently, vitamin D deficiency is found in most patients with T2DM, but the relationship between vitamin D and IR in T2DM patients requires further investigation.

Aim: To explore the risk factors of IR and the effects of vitamin D supplementation on glucose and lipid metabolism in patients with T2DM.

Effect of DHCR7 for the co-occurrence of hypercholesterolemia and vitamin D deficiency in type 2 diabetes: Perspective of health prevention.

Type 2 diabetes mellitus (T2DM) is a complex disease caused by multiple factors, which are often accompanied by the disorder of glucose and lipid metabolism and the lack of vitamin D.Over the years, researchers have conducted numerous studies into the pathogenesis and prevention strategies of diabetes. In this study, diabetic SD rats were randomly divided into type 2 diabetes group, vitamin D intervention group, 7-dehydrocholesterole reductase (DHCR7) inhibitor intervention group, simvastatin intervention group, and naive control group.

PRDX6: A protein bridging S-palmitoylation and diabetic neuropathy.

Diabetic neuropathy is regarded as one of the most debilitating outcomes of diabetes. It can affect both the peripheral and central nervous systems, leading to pain, decreased motility, cognitive decline, and dementia. S-palmitoylation is a reversible posttranslational lipid modification, and its dysregulation has been implicated in metabolic syndrome, cancers, neurological disorders, and infections.

Geometric complement heterogeneous information and random forest for predicting lncRNA-disease associations.

More and more evidences have showed that the unnatural expression of long non-coding RNA (lncRNA) is relevant to varieties of human diseases. Therefore, accurate identification of disease-related lncRNAs can help to understand lncRNA expression at the molecular level and to explore more effective treatments for diseases. Plenty of lncRNA-disease association prediction models have been raised but it is still a challenge to recognize unknown lncRNA-disease associations.

Prolactin-regulated Pbk is involved in pregnancy-induced β-cell proliferation in mice.

Gestational diabetes mellitus (GDM) is a condition of diabetes with onset or first recognition in pregnancy. Its incidence is increasing, and GDM deleteriously affects both mother and the fetus during and even after pregnancy. Previous studies in mice have shown that during pregnancy, β-cell proliferation increases in the middle and late stages of pregnancy and returns to normal levels after delivery.

Circular RNA Circ_0067934 Attenuates Ferroptosis of Thyroid Cancer Cells by miR-545-3p/SLC7A11 Signaling.

Ferroptosis is an emerging programmed cell death distinguished from apoptosis and autophagy and plays essential roles in tumorigenesis. Thyroid cancer is a prevalent endocrine tumor, but the molecular mechanism of ferroptosis during thyroid cancer development remains unclear. Here, we identified the critical function of circular RNA circ_0067934 in repressing ferroptosis of thyroid cancer cells.

CircHIPK3 Promotes Thyroid Cancer Tumorigenesis and Invasion through the Mirna-338-3p/RAB23 Axis.

Objective：Thyroid cancer is a common type of endocrine malignancy, and its incidence has been steadily increasing in many regions of the world. Numerous studies have found that the circRNAs in various cancer types are aberrantly expressed, which could be potential biological diagnostic markers and therapeutic targets. The purpose of this study was to investigate the role of circHIPK3 in the development and progression of thyroid cancer and its mechanism.

Identifying potential functional lncRNAs in metabolic syndrome by constructing a lncRNA-miRNA-mRNA network.

The metabolic syndrome (MS) is a cluster of interrelated risk factors including diabetes mellitus, abdominal obesity, high cholesterol, and hypertension, which can significantly increase mortality and disability. Accumulating evidence suggest that long non-coding RNAs (lncRNAs) are involved in the pathogenesis of human metabolic diseases. However, little is known about the regulatory role of lncRNAs in MS.

A random forest based computational model for predicting novel lncRNA-disease associations.

Background: Accumulated evidence shows that the abnormal regulation of long non-coding RNA (lncRNA) is associated with various human diseases. Accurately identifying disease-associated lncRNAs is helpful to study the mechanism of lncRNAs in diseases and explore new therapies of diseases. Many lncRNA-disease association (LDA) prediction models have been implemented by integrating multiple kinds of data resources.

LncRNA MALAT1 regulates diabetic cardiac fibroblasts through the Hippo-YAP signaling pathway.

Diabetic cardiomyopathy (DCM) is a major diabetes-related microvascular disease. LncRNA MALAT1 is widely expressed in cardiomyocytes responding to hypoxia and high levels of glucose (high glucose). In this study, cardiac fibroblasts (CFs) were transfected with si-MALAT1 and exposed to high glucose.

The function of SNHG7/miR-449a/ACSL1 axis in thyroid cancer.

Thyroid cancer (TC) has been characterized as the most common malignant malady of the endocrine system. Small nucleolar RNA host gene 7 (SNHG7) has been reported to serve as a key regulator in a large number of human cancer types, but its role in TC and the underlying regulatory mechanism have never been evaluated yet. The present study indicated that the expression of SNHG7 was markedly higher in TC cell lines.

ncRNA2MetS: a manually curated database for non-coding RNAs associated with metabolic syndrome.

Metabolic syndrome is a cluster of the most dangerous heart attack risk factors (diabetes and raised fasting plasma glucose, abdominal obesity, high cholesterol and high blood pressure), and has become a major global threat to human health. A number of studies have demonstrated that hundreds of non-coding RNAs, including miRNAs and lncRNAs, are involved in metabolic syndrome-related diseases such as obesity, type 2 diabetes mellitus, hypertension, etc. However, these research results are distributed in a large number of literature, which is not conducive to analysis and use.

Adipocyte-derived extracellular vesicles modulate appetite and weight through mTOR signalling in the hypothalamus.

Aim: Type 2 diabetes and obesity are diseases related to surplus energy in the body. Abnormal interaction between the hypothalamus and adipose tissues is a key trigger of energy metabolism dysfunction. Extracellular vesicles (EVs) regulate intercellular communication by transporting intracellular cargo to recipient cells thereby altering the function of recipient cells.

CircRNA circ_0067934 Overexpression Correlates with Poor Prognosis and Promotes Thyroid Carcinoma Progression.

BACKGROUND Circular RNAs are important regulators in human cancers, including thyroid carcinoma. The circ_0067934 RNA is reported to participate in hepatocellular carcinoma, esophageal squamous cell carcinoma, and lung cancer. Whether it regulates thyroid carcinoma remains unclear.

The relationship between vitronectin and hepatic insulin resistance in type 2 diabetes mellitus.

The World Health Organization (WHO) estimates that approximately 300 million people will suffer from diabetes mellitus by 2025. Type 2 diabetes mellitus (T2DM) is much more prevalent. T2DM comprises approximately 90% of diabetes mellitus cases, and it is caused by a combination of insulin resistance and inadequate compensatory insulin secretory response.

Systematically analyses of the common dysregulated networks to understand the common pathologies between T2D and atherosclerosis.

Background: Diabetic macroangiopathy, atherosclerosis secondary to diabetes mellitus, causes cerebro-cardiovascular diseases (CVD), which increase the risk of death in patients with DM and significantly reduce their quality of life. Therefore, mechanisms underlying the common shared pathologies between type 2 diabetes (T2D) and atherosclerosis are key to prevention and treatment of diabetic macroangiopathy. However, the common shared pathological links between T2D and atherosclerosis are not fully understood.

RNA-seq analysis of the transcriptome of the liver of cynomolgus monkeys with type 2 diabetes.

Genetic and environmental factors such as high-fat diet are involved in the development of type 2 diabetes mellitus (T2DM). Cynomolgus monkey shares similar genetic makeup, tissue structures, physiology and metabolic function to human. This study aimed to establish T2DM model in cynomolgus monkey and compare expression profiles of hepatic genes and their associated pathways in normal cynomolgus monkeys and those with T2DM.

Construction of competitive endogenous RNA network reveals regulatory role of long non-coding RNAs in type 2 diabetes mellitus.

Increasing epidemic of type 2 diabetes mellitus (T2DM) and its comorbidities makes it urgent to understand the pathogenesis and regulatory mechanism. However, little is known about the regulatory role of lncRNAs in diabetes. Here, we constructed a T2DM-related competitive endogenous RNA (ceRNA) network (DMCN) to explore biological function of lncRNAs during the development of diabetes mellitus.

A novel random forests-based feature selection method for microarray expression data analysis.

High-dimensional data and a large number of redundancy features in bioinformatics research have created an urgent need for feature selection. In this paper, a novel random forests-based feature selection method is proposed that adopts the idea of stratifying feature space and combines generalised sequence backward searching and generalised sequence forward searching strategies. A random forest variable importance score is used to rank features, and different classifiers are used as a feature subset evaluating function.

MicroRNA-185 regulates expression of lipid metabolism genes and improves insulin sensitivity in mice with non-alcoholic fatty liver disease.

Aim: To assess the regulatory effect of microRNA-185 (miR-185) on lipid metabolism and the insulin signalling pathway in human HepG2 hepatocytes and a high-fat diet mouse model.

Methods: Quantitative reverse transcription-polymerase chain reaction was used to assess the mRNA levels of lipogenic genes after loss or gain of miR-185. In addition, the amounts of insulin signalling intermediates were determined after transfection of HepG2 cells with pre-miR-185.

[Study on prevention effect of huoluotongnao tablet on stroke (I)].

Objective: To study the prevention effect of Huoluotongnao tablet on stroke.

Methods: Thrombosis on arteriovenous shunt rats model, platelet aggregation and hypertension combined high cholesterol rats model were used.

Results: Huoluotongnao tablet high and low dosage could inhibit the formation of arteriovenous thrombosis and platelet aggregation significantly ,the inhibition rate was 17.

Identification and validation co-differentially expressed genes with NAFLD and insulin resistance.

Insulin resistance is a major feature and pathogenic factor of nonalcoholic fatty liver disease (NAFLD). Theoretically, genetic variation in candidate genes related to insulin resistance may contribute to the pathogenesis of NAFLD. The purpose of this study was to identify potentially pathogenic genes involved in NAFLD and insulin resistance that have not yet been discovered.