- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Occupational and environmental lung diseases
- COVID-19 epidemiological studies
- Biochemical Acid Research Studies
- Influenza Virus Research Studies
- Air Quality and Health Impacts
- Macrophage Migration Inhibitory Factor
- Amyotrophic Lateral Sclerosis Research
- Autophagy in Disease and Therapy
- Genomics, phytochemicals, and oxidative stress
- Epigenetics and DNA Methylation
- Metabolism, Diabetes, and Cancer
- COVID-19 Pandemic Impacts
- Viral Infections and Vectors
- Pancreatic function and diabetes
- Plant Micronutrient Interactions and Effects
- Occupational exposure and asthma
- Trace Elements in Health
- Healthcare Systems and Public Health
- COVID-19 Clinical Research Studies
- Bacterial Infections and Vaccines
- Glutathione Transferases and Polymorphisms
- Estrogen and related hormone effects
- COVID-19 diagnosis using AI
- Boron Compounds in Chemistry
Xinxiang Medical University
2007-2024
North China University of Science and Technology
2020-2021
Zhengzhou University
2007
Inhalation of silica particles (SiO2) causes oxidative stress-induced inflammation and cell apoptosis, ultimately resulting in irreversible pulmonary fibrosis, Unfortunately, effective treatment or preventative measures have yet to be fully established. Metformin (Met), a relatively safe medication for treating diabetes, may hold promise as protective agent against early-stage fibrosis mice through the activation autophagy inhibition endothelial mesenchymal transition (EndoMT). Here, we...
Silicosis is a severe progressive lung disease without effective treatment methods. Previous evidence has demonstrated that endothelial cell to mesenchymal transition (EndoMT) plays an essential role in pulmonary fibrosis, and fibrosis associated with dysregulation of autophagy, while the relationship between autophagy EndoMT not yet been adequately studied. Herein, we established mouse model silicosis, found pharmacological induction AMPK/mTOR-dependent pathway using 100 mg/kg Metformin...
The aim of this study is to apply the advanced error-trend-seasonal (ETS) framework forecast prevalence and mortality series COVID-19 in USA, UK, Russia, India, predictive performance ETS was compared with most frequently used autoregressive integrated moving average (ARIMA) model.The data India between 20 February 2020 15 May were extracted from WHO website. Then, subsamples 3 treated as training horizon, others testing horizon construct ARIMA models models.Based on model evaluation...
Evidence on the long-term influence of climatic variables pertussis is limited. This study aims to explore quantitative relationship between weather variability and pertussis. Data monthly number cases parameters in Chongqing period 2004-2018 were collected. Then, we used a negative binomial multivariable regression model cointegration testing examine association variations meteorological Descriptive statistics exhibited that incidence rose from 0.251 per 100,000 people 2004 3.661 persons...
Abstract Forecasting the epidemics of diseases is very valuable in planning and supplying resources effectively. This study aims to estimate epidemiological trends coronavirus disease 2019 (COVID-19) prevalence mortality using advanced α -Sutte Indicator, its prediction accuracy level was compared with most frequently adopted autoregressive integrated moving average (ARIMA) method. Time-series analysis performed based on total confirmed cases deaths COVID-19 world, Brazil, Peru, Canada Chile...
Abstract Silicon dioxide (SiO 2 )‐induced pulmonary fibrosis is potentially associated with the impairment of mitochondrial function. Previous research found that inhibition macrophage receptor collagenous structure (MARCO) could alleviate particle‐induced lung injury by regulating phagocytosis and mitigating damage. The present study aims to explore underlying anti‐fibrosis mechanism polyguanylic acid (PolyG, MARCO inhibitor) in a silicotic rat model. Hematoxylin eosin Masson staining were...
Abstract In this study, we proposed a new data-driven hybrid technique by integrating an ensemble empirical mode decomposition (EEMD), autoregressive integrated moving average (ARIMA), with nonlinear artificial neural network (NARANN), called the EEMD-ARIMA-NARANN model, to perform time series modeling and forecasting based on COVID-19 prevalence mortality data from 28 February 2020 27 June in South Africa Nigeria. By comparing accuracy level of measurements basic ARIMA NARANN models, it was...
Oxidative stress is proposed to be involved in nonalcoholic fatty liver disease (NAFLD). However, antioxidant therapy results controversial outcomes. Therefore, we generated a new antioxidant/NAFLD mouse model, LiasHigh/HighLeprdb/db mice, by crossbreeding Leprdb/db an obesity with LiasHigh/High overexpression of lipoic acid synthase gene (Lias) and having increased endogenous capacity, investigate whether the model could block development NAFLD. We have systemically characterized novel...
Introduction Diabetic nephropathy (DN) develops in about 40% of patients with type 2 diabetes and remains the leading cause end-stage renal disease. The mechanisms DN remain to be elucidated. Oxidative stress is thought involved development but antioxidant therapy has produced conflicting results. Therefore, we sought define role retarding this study. Research design methods We generated a new antioxidant/diabetes mouse model, Lias H/H Lepr db/db mice, by crossing mice which have...
Polyguanylic acid potassium salt (PolyG) has an anti-fibrotic G-quadruplex (G4) structure. It could inhibit the expression of nucleolin, a protein involved in cell proliferation and apoptosis. However, its role regulating nucleolin silicosis is still unknown. After instillation 50 μl crystalline silica suspension (50 mg/ml) into trachea C57BL/6 mice, we show that upregulated mouse pulmonary tissue following treatment with PolyG, which were injected 2.5 mg/kg body weight mice by abdomen,...
Objective: To explore the association between dust exposure and incidence of hypertension in male coal miners. Methods: Using method retrospective cohort study,a colliery Henan Province was established January 2006. From 2006 to 2017,all miners a who were exposed selected into group including tunneling, mining,auxiliary combining workers, workers from administrative logistics departments not control group. The eligible participants should satisfy following conditions: working more than one...
Abstract This study aims to understand the epidemic characteristics of acute hemorrhagic conjunctivitis (AHC) in China and explore application value Bayesian Time Structure Sequence (BSTS) model. The reported data AHC cases were collected from January 2011 October 2022. R software was used construct BSTS Differential Autoregressive Integrated Moving Average (ARIMA) models based on incidence December 2021. prediction effect both compared by using 2022, finally November 2022 2023 predicted...
This study aims to explore the application value of Bayesian Time Structure Sequence (BSTS) model in estimating acute hemorrhagic conjunctivitis (AHC) epidemics. The reported AHC cases spanning from January 2011 October 2022 China were collated. Utilizing R software, BSTS and Autoregressive Integrated Moving Average (ARIMA) models constructed using data December 2021. prediction effect both was compared 2022, finally incidence November 2023 predicted. results indicated that forecast errors...
Aims: In addition to reducing the respiratory function, crystalline silica (SiO2) disturbs immune response by affecting cells during progression of silicosis. Regulatory T cell (Treg) differentiation may play a key role in abnormal polarization helper (Th)1 and Th2 development silicosis-induced fibrosis. Alpha-lipoic acid (ALA) has immunomodulatory effects promoting Tregs differentiation. Thus, ALA have therapeutic potential for treating autoimmune disorders patients with However, little is...
Abstract Background The immunomodulatory abnormalities of silicosis are related to the lymphocyte oxidative stress state. potential effect antioxidant therapy on may depend variation in nuclear factor erythroid 2-related 2 (NRF2)-regulated genes peripheral blood mononuclear cells (PBMCs). As NRF2 is a redox-sensitive transcription factor, its possible roles and underlying mechanism treatment need be clarified. Methods Ninety-two male patients with 87 healthy volunteers were randomly...