Weijie Liao

ORCID: 0000-0001-6507-2919
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • Spine and Intervertebral Disc Pathology
  • RNA Research and Splicing
  • Ferroptosis and cancer prognosis
  • Spinal Fractures and Fixation Techniques
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Biomarkers in Disease Mechanisms
  • Peroxisome Proliferator-Activated Receptors
  • Acute Myeloid Leukemia Research
  • Glioma Diagnosis and Treatment
  • Microstructure and Mechanical Properties of Steels
  • Microfluidic and Bio-sensing Technologies
  • Bone health and treatments
  • Microbial Inactivation Methods
  • Neuroscience and Neural Engineering
  • Cervical and Thoracic Myelopathy
  • Metallurgy and Material Forming
  • Artificial Intelligence in Healthcare
  • Anesthesia and Pain Management
  • Coastal wetland ecosystem dynamics
  • Surgical site infection prevention
  • Histone Deacetylase Inhibitors Research
  • RNA regulation and disease
  • Genomics, phytochemicals, and oxidative stress

Tsinghua University
2016-2024

Ganzhou People's Hospital
2024

University Town of Shenzhen
2016-2024

Northwestern Polytechnical University
2024

First Affiliated Hospital of Nanchang University
2021-2023

Nanchang University
2021-2023

Shenzhen University Health Science Center
2023

Tsinghua–Berkeley Shenzhen Institute
2022

Zhejiang University
2022

Huangshi Central Hospital
2022

Abstract Osteoporosis is a major public health concern that significantly increases the risk of fractures. The aim this study was to develop Machine Learning based predictive model screen individuals at high osteoporosis on chronic disease data, thus facilitating early detection and personalized management. A total 10,000 complete patient records primary healthcare data in German Disease Analyzer database (IMS HEALTH) were included, which 1293 diagnosed with 8707 without condition....

10.1038/s41598-024-56114-1 article EN cc-by Scientific Reports 2024-03-04

LncRNAs have been found to be involved in various aspects of biological processes. In this study, we aimed uncover the molecular mechanisms lncRNA EPB41L4A-AS1 regulating glycolysis and glutaminolysis cancer cells.

10.1016/j.ebiom.2019.01.035 article EN cc-by-nc-nd EBioMedicine 2019-02-19

Damage to mitochondria often results in the activation of both mitophagy and mitochondrial apoptosis. The elimination dysfunctional is necessary for quality maintenance efficient energy supply. Here we report that miR-181a a novel inhibitor mitophagy. downregulated by uncouplers human neuroblastoma SH-SY5Y cells. Overexpression inhibits uncoupling agents-induced inhibiting degradation proteins without affecting global autophagy. Knock down endogenous accelerates autophagic damaged...

10.18632/oncotarget.9786 article EN Oncotarget 2016-06-02

Abstract Objectives This study aimed to establish a machine learning prediction model that can be used predict bone metastasis (BM) in patients with newly diagnosed thyroid cancer (TC). Methods Demographic and clinicopathologic variables of TC the Surveillance, Epidemiology, End Results database from 2010 2016 were retrospectively analyzed. On this basis, we developed random forest (RF) algorithm based on machine‐learning. The area under receiver operating characteristic curve (AUC),...

10.1002/cam4.3776 article EN Cancer Medicine 2021-03-12

Objective: This study aimed to develop and validate a machine learning model for predicting bone metastases (BM) in prostate cancer (PCa) patients. Methods: Demographic clinicopathologic variables of PCa patients the Surveillance, Epidemiology End Results (SEER) database from 2010 2017 were retrospectively analyzed. We used six different algorithms, including Decision tree (DT), Random forest (RF), Multilayer Perceptron (MLP), Logistic regression (LR), Naive Bayes classifiers (NBC), eXtreme...

10.2147/cmar.s330591 article EN cc-by-nc Cancer Management and Research 2021-11-01

Long non-coding RNAs (lncRNAs) have been shown to be crucial regulators in numerous human diseases. However, little is known about their effects on early recurrent miscarriage (RM). Here we aimed investigate the role of lncRNA EPB41L4A-AS1 placental trophoblast cell metabolic reprogramming, which might involved pathogenesis RM. After microarray and GEO database analyses, found that was significantly increased RM tissue, this increase may relate estradiol-mediated upregulation PGC-1α....

10.1016/j.omtn.2019.09.017 article EN cc-by-nc-nd Molecular Therapy — Nucleic Acids 2019-09-26

Purpose Human gut microbiota has been shown to be significantly associated with various inflammatory diseases. Therefore, this study aimed develop an excellent auxiliary tool for the diagnosis of juvenile idiopathic arthritis (JIA) based on fecal microbial biomarkers. Method The metagenomic sequencing data JIA were extracted from NCBI, and transformed into relative abundance microorganisms by professional cleaning (KneadData, Trimmomatic Bowtie2) comparison software (Kraken2 Bracken). After...

10.3389/fcimb.2024.1371371 article EN cc-by Frontiers in Cellular and Infection Microbiology 2024-03-08

Machine learning has been widely used to guide the search for new materials by patterns underlying available data. However, pure prediction-oriented is often biased interpolation due limited data in a large unexplored space. Here we present sampling framework towards extrapolation, that integrates unsupervised clustering, interpretable analysis, and similarity evaluation sample target candidates with improved properties from vast Using design of superalloys $${\gamma }^{{\prime} }$$ -phase...

10.1038/s41524-024-01358-8 article EN cc-by-nc-nd npj Computational Materials 2024-08-04

Purpose: Long non-coding RNAs (lncRNAs) have been shown to be involved in many human diseases. In this study, we aimed reveal the role and molecular mechanism of lncRNA EPB41L4A-AS1 type 2 diabetic mellitus (T2DM)-related inflammation. Methods: To explore relationships between expression inflammatory factors blood T2DM patients, analyzed peripheral mononuclear cell (PBMC) microarrays patients PBMC treated with lipopolysaccharide (LPS) from GEO database. The relationship phospho-p65 was...

10.2147/dmso.s280765 article EN cc-by-nc Diabetes Metabolic Syndrome and Obesity 2021-01-01

Thoracolumbar fracture is one of the most common fractures spine. And short-segment posterior fixation including fractured vertebra (SSPFI) usually used for surgical treatment it. However, outcomes SSPFI different types thoracolumbar are not clear, and whether it necessary to perform transpedicular bone grafting still controversial. This study was conducted determine clinical efficacy single-level fracture, make clear what kind need during surgery.Patients with undergoing surgery between...

10.3389/fsurg.2022.1039100 article EN cc-by Frontiers in Surgery 2023-01-11

As a “marine ecological engineer”, the oyster reefs not only perform important functions, but also reduce damage caused by waves to protective structures such as seawalls. However, in shallow water change nonlinear characteristics of and affect sediment transport coastal evolution. Based on Fourier spectrum analysis Wavelet Transform, influence artificial bag energy phase coupling irregular are studied through physical experiment. The results show that have substantial effect primary...

10.3389/fmars.2022.1096497 article EN cc-by Frontiers in Marine Science 2022-12-23

Long noncoding RNAs (lnc RNA ) are reported to be potential cancer biomarkers. This study aims find new lnc biomarker relevant lung adenocarcinoma. Gene expression profile and clinical data of adenocarcinoma squamous cell carcinoma patients were downloaded from the UCSC Xena database. These analyzed identify prognostic biomarkers, candidate s verified with association analysis, meta‐analysis, survival gene ontology set enrichment other statistical methods. A group 5 was identified 1965...

10.1111/cas.13822 article EN cc-by-nc Cancer Science 2018-10-06

PPP1R14B-AS1 is an antisense long non-coding RNA with unknown functions. Herein, gene differential analyses were performed using the data of patients liver cancer and lung adenocarcinoma (LUAD) from The Cancer Genome Atlas database. was found to be upregulated also overexpressed in 10 other types cancers. In addition, overexpression associated poor overall prognosis eight Furthermore, PPPAR14B-AS1 upregulation positively worsening development LUAD cancers related disease-free survival. Gene...

10.3389/fgene.2020.557614 article EN cc-by Frontiers in Genetics 2020-11-11

Abstract Background Aging and neurodegenerative diseases are typical metabolic-related processes. As a metabolism-related long non-coding RNA, EPB41L4A-AS has been reported to be potentially involved in the development of brain aging diseases. In this study, we sought reveal mechanisms Methods Human hippocampal gene expression profiles downloaded from Genotype-Tissue Expression database were analyzed obtain age-stratified differentially expressed genes; weighted correlation network analysis...

10.1186/s13578-021-00705-2 article EN cc-by Cell & Bioscience 2021-11-10

LINC00341 is a novel long intergenic non-protein coding RNA with unknown functions. In our report, we investigated expression and its prognostic value in cancer patients. DNA over-methylation triggered low of that was associated poor prognosis cancers. A meta-analysis further confirmed high better Both gene set enrichment analysis showed inhibited metastasis. Finally, large-scale multicentre supported

10.18632/oncotarget.14843 article EN Oncotarget 2017-01-27

Abstract Chitinases possess an extraordinary ability to directly hydrolyze highly insoluble chitin polymers low-molecular-weight chito-oligomers, which particular biological functions, such as elicitor action and antitumor activity. A novel strain, Paenibacillus xylanilyticus W4, was isolated from soil, showed strong degradation Here, we first reported the complete genome information of P. xylanilyticus. W4 contains a 5,532,141 bp single circular chromosome with 47.33% GC content. The 5,996...

10.1093/gbe/evz241 article EN cc-by Genome Biology and Evolution 2019-10-30

Objective This study aims to identify prognostic factors for low-grade glioma (LGG) via different machine learning methods in the whole genome and predict patient prognoses based on these factors. We verified results through vitro experiments further screen new potential therapeutic targets. Method A total of 940 patients from The Cancer Genome Atlas (TCGA) Chinese Glioma (CGGA) were included this study. Two feature extraction algorithms – LASSO Random Forest (RF) used jointly genes...

10.3389/fimmu.2022.909189 article EN cc-by Frontiers in Immunology 2022-06-13
Coming Soon ...