Li‐He Jiang

ORCID: 0000-0002-9043-3162
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About
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Research Areas
  • Ferroptosis and cancer prognosis
  • RNA modifications and cancer
  • Bioinformatics and Genomic Networks
  • Genetics, Bioinformatics, and Biomedical Research
  • RNA Research and Splicing
  • Bioactive natural compounds
  • Computational Drug Discovery Methods
  • Cancer-related molecular mechanisms research
  • Neuropeptides and Animal Physiology
  • Circular RNAs in diseases
  • Pharmacological Effects of Natural Compounds
  • Epigenetics and DNA Methylation
  • MicroRNA in disease regulation
  • Cancer Immunotherapy and Biomarkers
  • Synthesis and Characterization of Heterocyclic Compounds
  • interferon and immune responses
  • Drug Transport and Resistance Mechanisms
  • Environmental and Agricultural Sciences
  • Cancer-related gene regulation
  • Autophagy in Disease and Therapy
  • Heat shock proteins research
  • Advanced materials and composites
  • Medicinal Plant Pharmacodynamics Research
  • Peptidase Inhibition and Analysis
  • Metallurgy and Material Forming

Guangxi University
2015-2025

Blood Center of Zhejiang Province
2023-2025

Affiliated Hospital of Youjiang Medical University for Nationalities
2020-2025

Guangxi Medical University
2021-2025

Guilin Medical University
2025

Henan Provincial Institute of Occupational Health
2025

Zhejiang Shuren University
2024-2025

Youjiang Medical College for Nationalities
2025

First Affiliated Hospital of GuangXi Medical University
2025

Fujian Medical University
2025

Cancer treatment is presently a significant challenge in the medical domain, wherein primary modalities of intervention include chemotherapy, radiation therapy and surgery. However, these therapeutic carry side effects. Photothermal (PTT) photodynamic (PDT) have emerged as promising for tumors recent years. Phototherapy approach that involves exposure materials to specific wavelengths light, which can subsequently be converted into either heat or Reactive Oxygen Species (ROS) effectively...

10.1016/j.biopha.2024.116586 article EN Biomedicine & Pharmacotherapy 2024-04-15

Deposition pattern and path-planning deposition strategy have significant impacts on the deformation residual stress of components during a wire-arc additive manufacturing (WAAM) process. This work comparatively addressed influence weaving non-weaving patterns distributions warping single-bead-on-plate WAAM Further, four path strategies with different sequences (in-out out-in) directions (alternate consistent) were designed for process disc part, their temperature history, deformation,...

10.1016/j.jmrt.2024.03.226 article EN cc-by-nc-nd Journal of Materials Research and Technology 2024-03-31

Abstract Recent studies have increasingly revealed the connection between metabolic reprogramming and tumor progression. However, specific impact of on inter-patient heterogeneity prognosis in lung adenocarcinoma (LUAD) still requires further exploration. Here, we introduced a cellular hierarchy framework according to malignant gene set, named & metabolism (MMR), reanalyze 178,739 single-cell reference profiles. Furthermore, proposed three-stage ensemble learning pipeline, aided by...

10.1186/s12967-024-05138-2 article EN cc-by Journal of Translational Medicine 2024-04-15

Abstract Oxidative stress plays an important role in the pathogenesis of virus infection and antioxidants are becoming promising candidates as therapeutic agents. This study is designed to investigate effect total flavonoids Spatholobus suberectus Dunn (TFSD) on oxidative mice induced by porcine circovirus type 2 (PCV2) infection. The PCV2 leads significant decrease thymus spleen indices, elevation xanthine oxidase (XOD) myeloperoxidase (MPO) activities, reduction GSH level GSSG ratio...

10.1038/s41598-017-09340-9 article EN cc-by Scientific Reports 2017-08-11

The integration of a multidimensional treatment dominated by active ingredients traditional Chinese medicine (TCM), including enhanced chemotherapy and synergistically amplification oxidative damage, into nanoplatform would be great significance for furthering accurate effective cancer with the TCM. Herein, in this study, we designed synthesized four matrine-proteolysis-targeting chimeras (PROTACs) (depending on different lengths chains named LST-1, LST-2, LST-3, LST-4) based PROTAC...

10.3390/molecules29081845 article EN cc-by Molecules 2024-04-18

Objective: To investigate the current status of life stress and hypertension among couples childbearing age across diverse economic regions in China, to explore relevant influencing factors. Methods: This study was a cross-sectional study, with subjects from "Research on standardized system comprehensive prevention control birth defects based preconception-prenatal-postnatal whole chain". From February May 2021, urban rural (18-49 years old) Beijing, Henan, Gansu provinces were enrolled,...

10.3760/cma.j.cn112148-20240725-00415 article EN PubMed 2025-01-24

Background The convergence of macrophage-targeted strategies with immune checkpoint blockade therapies defines a pivotal avenue in contemporary tumor therapy. Identifying robust genetic regulators this context is imperative. Methods This study elucidates IFI30's role enhancing Major Histocompatibility Complex II (MHC-II) restriction antigen processing. Despite its recognition cancer immunotherapy, IFI30 remains nascent focus. Our approach involves multi-omics analysis immunological profile...

10.3389/fimmu.2025.1523854 article EN cc-by Frontiers in Immunology 2025-01-24

Obesity is increasingly becoming a challenge with China's economic development. There an urgent need to identify more affordable methods combat this condition. Paederia scandens (PS), cost-effective herbal remedy widely used in China for treating inflammation and pain, shows potential regard. To investigate its anti-obesity mechanisms, we established high-fat diet (HFD)-induced obesity model mice. The obese mice subsequently received daily oral gavage of PS extract 21 consecutive days. Upon...

10.3389/fmicb.2025.1554537 article EN cc-by Frontiers in Microbiology 2025-04-23

This study aims to investigate metabolic reprogramming heterogeneity in hepatocellular carcinoma (HCC) cells and identify novel therapeutic targets for HCC treatment. Single-cell RNA sequencing data from public databases were used analyze the TME of reveal characteristics different cell subsets, including mononuclear phagocytes, epithelial cells, endothelial NK/T B unknown cells. The analysis revealed that these subsets play their own unique roles tumor progression immune escape. Analysis...

10.1371/journal.pone.0323559 article EN cc-by PLoS ONE 2025-05-27

Context: Docosahexaenoic acid (DHA) is one of the critical fatty acids for optimal health, which affect expression nerve growth factor and brain-derived neurotrophic in brain.Objective: This study investigates whether DHA supplementation affects lipid peroxidation activates glial-derived (GDNF)-mitogen-activated protein kinase pathway (MAPK pathway) hippocampus natural aged rat.Materials methods: Rats were randomly divided into four groups; was orally administered at 80 160 mg/kg/day to...

10.3109/13880209.2013.784341 article EN Pharmaceutical Biology 2013-06-14

Objective: The genetic markers for the detection or treatment of cervical squamous cell carcinoma (CESC) are not yet complete. This study aimed to identify role MSMO1 (Alternative name: SC4MOL) in occurrence and development CESC. Methods: We evaluated significance expression CESC by using analysis a public dataset from Cancer Genome Atlas (TCGA) Gene Expression Omnibus (GEO) database. Oncomine GEPIA2 were used validate as an independent prognostic factor Multiple tools analyze factors...

10.3389/fgene.2021.705851 article EN cc-by Frontiers in Genetics 2021-10-25

The paper discussed the use of machine learning (ML) and quantum chemistry calculations to predict transition state yield copper-catalyzed P–H insertion reactions. By analyzing a dataset 120 experimental data points, was determined using density functional theory (DFT). ML algorithms were then applied analyze 16 descriptors derived from chemical product yield. Among studied, Support Vector Machine (SVM) achieved highest prediction accuracy 97%, with over 80% correlation in Leave-One-Out...

10.3390/molecules28165995 article EN cc-by Molecules 2023-08-10
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