Xiaorong Zhan

ORCID: 0000-0003-0166-7619
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About
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Research Areas
  • Cancer-related molecular mechanisms research
  • Circular RNAs in diseases
  • RNA modifications and cancer
  • RNA Research and Splicing
  • Liver Disease Diagnosis and Treatment
  • MicroRNA in disease regulation
  • Peroxisome Proliferator-Activated Receptors
  • Lipid metabolism and disorders
  • Bioinformatics and Genomic Networks
  • Hippo pathway signaling and YAP/TAZ
  • Endoplasmic Reticulum Stress and Disease
  • Artificial Intelligence in Healthcare
  • Muscle metabolism and nutrition
  • Metabolism, Diabetes, and Cancer
  • Cholesterol and Lipid Metabolism
  • Adipokines, Inflammation, and Metabolic Diseases

Southern University of Science and Technology
2022-2024

Harbin Medical University
2014-2020

First Affiliated Hospital of Harbin Medical University
2014-2020

National Natural Science Foundation of China
2014

Accumulated evidence shows that the abnormal regulation of long non-coding RNA (lncRNA) is associated with various human diseases. Accurately identifying disease-associated lncRNAs helpful to study mechanism in diseases and explore new therapies Many lncRNA-disease association (LDA) prediction models have been implemented by integrating multiple kinds data resources. However, most existing ignore interference noisy redundancy information among these resources.To improve ability LDA models,...

10.1186/s12859-020-3458-1 article EN cc-by BMC Bioinformatics 2020-03-27

AIM:To assess the regulatory effect of microRNA-185 (miR-185) on lipid metabolism and insulin signalling pathway in human HepG2 hepatocytes a high-fat diet mouse model. METHODS:Quantitative reverse transcription-polymerase chain reaction was used to mRNA levels lipogenic genes after loss or gain miR-185.In addition, amounts intermediates were determined transfection cells with pre-miR-185. RESULTS:MiR-185 decreased time-and dose-dependent manner response palmitic acid...

10.3748/wjg.v20.i47.17914 article EN cc-by-nc World Journal of Gastroenterology 2014-12-21

Increasing epidemic of type 2 diabetes mellitus (T2DM) and its comorbidities makes it urgent to understand the pathogenesis regulatory mechanism. However, little is known about role lncRNAs in diabetes. Here, we constructed a T2DM-related competitive endogenous RNA (ceRNA) network (DMCN) explore biological function during development mellitus. This contained 351 nodes including 98 mRNAs, 86 microRNAs 167 lncRNAs. Functional analysis showed that mRNAs DMCN were annotated into some...

10.1111/jcmm.13224 article EN cc-by Journal of Cellular and Molecular Medicine 2017-06-23

Abstract Background A growing body of researches indicate that the disrupted expression long non-coding RNA (lncRNA) is linked to a range human disorders. Therefore, effective prediction lncRNA-disease association (LDA) can not only suggest solutions diagnose condition but also save significant time and labor costs. Method In this work, we proposed novel LDA predicting algorithm based on graph convolutional network transformer, named GCNFORMER. Firstly, integrated intraclass similarity...

10.1186/s12859-023-05625-1 article EN cc-by BMC Bioinformatics 2024-01-02

Diabetic cardiomyopathy (DCM) is a major diabetes-related microvascular disease. LncRNA MALAT1 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 exposed glucose. CFs the groups treated 30 mmol/L glucose, control 5.5 The expression nucleus cytoplasm was detected. biological behavior CFs, as well collagen production, activity Hippo-YAP pathway, nuclear localization YAP...

10.1139/bcb-2019-0434 article EN Biochemistry and Cell Biology 2020-02-18

Abstract Thyroid cancer (TC) has been characterized as the most common malignant malady of endocrine system. Small nucleolar RNA host gene 7 (SNHG7) reported to serve a key regulator in large number human types, but its role TC and underlying regulatory mechanism have never evaluated yet. The present study indicated that expression SNHG7 was markedly higher cell lines. Knockdown led suppression progression migration. Acyl‐CoA synthetase long‐chain family member 1 (ACSL1) also demonstrated an...

10.1002/jcb.29569 article EN Journal of Cellular Biochemistry 2020-01-21

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

10.3389/fgene.2023.1332273 article EN cc-by Frontiers in Genetics 2024-01-09

Abstract Background Many biological studies have shown that lncRNAs regulate the expression of epigenetically related genes. The study has helped to deepen our understanding pathogenesis complex diseases at molecular level. Due large number and time-consuming nature experiments, applying computer techniques predict potential lncRNA-disease associations is very effective. To explore information between network structures, existing methods rely mainly on lncRNA disease information. Metapaths...

10.1186/s12859-024-05672-2 article EN cc-by BMC Bioinformatics 2024-01-29

The World Health Organization (WHO) estimates that approximately 300 million people will suffer from diabetes mellitus by 2025. Type 2 (T2DM) is much more prevalent. T2DM comprises 90% of cases, and it caused a combination insulin resistance inadequate compensatory secretory response. In this study, we aimed to compare the plasma vitronectin (VN) levels between patients with (IR) healthy controls. Seventy IR 70 age- body mass index (BMI)-matched controls were included in study. insulin,...

10.1507/endocrj.ej17-0504 article EN Endocrine Journal 2018-01-01

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

10.3389/fgene.2022.995532 article EN cc-by Frontiers in Genetics 2022-08-24

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

10.7717/peerj.7909 article EN cc-by PeerJ 2019-10-15
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