A5090399986- Arsenic contamination and mitigation
- Metabolomics and Mass Spectrometry Studies
- Heavy Metal Exposure and Toxicity
- Tuberculosis Research and Epidemiology
- Birth, Development, and Health
- Mechanical Circulatory Support Devices
- Cardiac Ischemia and Reperfusion
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Computational Drug Discovery Methods
- Health, Environment, Cognitive Aging
- Pregnancy and Medication Impact
- vaccines and immunoinformatics approaches
- Anesthesia and Pain Management
- Cardiac pacing and defibrillation studies
- MicroRNA in disease regulation
- Occupational and environmental lung diseases
- Pregnancy and preeclampsia studies
- Adipokines, Inflammation, and Metabolic Diseases
- Air Quality and Health Impacts
- Sphingolipid Metabolism and Signaling
- Biomarkers in Disease Mechanisms
- Transplantation: Methods and Outcomes
- Heme Oxygenase-1 and Carbon Monoxide
- Chronic Obstructive Pulmonary Disease (COPD) Research
Harvard University
2013-2021
First Affiliated Hospital of GuangXi Medical University
2018
Guangxi Medical University
2018
Cleveland Clinic Lerner College of Medicine
2014
Tongji University
2006
H. sapiens-M. tuberculosis H37Rv protein-protein interaction (PPI) data are essential for understanding the infection mechanism of formidable pathogen M. H37Rv. Computational prediction is an important strategy to fill gap in experimental PPI data. Homology-based frequently used predicting both intra-species and inter-species PPIs. However, some limitations not properly resolved several published works that predict eukaryote-prokaryote PPIs using template We develop a stringent...
H. sapiens-M. tuberculosis H37Rv protein-protein interaction (PPI) data are very important information to illuminate the infection mechanism of M. H37Rv. But current PPI scarce. This seriously limits study between this pathogen and its host sapiens. Computational prediction PPIs is an strategy fill in gap. Domain-domain (DDI) based one frequently used computational approaches predicting both intra-species inter-species PPIs. However, performance DDI-based host-pathogen has been rather...
Altered expression of microRNAs (miRNAs) is implicated in fetal growth. However, the mechanisms by which placenta-derived miRNAs regulate birthweight are not well understood. In Phase 1, we compared 754 placenta mothers from two extreme groups (0.8-2.2 kg vs. 3.3-3.9 kg, n = 77 each) selected an arsenic-exposed Bangladeshi birth cohort (n 1,141). We identified 49 associated with and/or gestational age were further analyzed 2 among 364 randomly mother-infant pairs. Gestational was determined...
Abstract Background Prenatal inorganic arsenic (iAs) exposure is associated with pregnancy outcomes. Maternal capabilities of biotransformation and elimination may influence the susceptibility toxicity. Therefore, we examined determinants metabolism pregnant women in Bangladesh who are exposed to high levels arsenic. Methods In a prospective birth cohort, followed 1613 collected urine samples at two prenatal visits: one 4–16 weeks, second 21–37 weeks pregnancy. We measured major species...
Single nucleotide polymorphisms (SNPs) may influence arsenic methylation efficiency, affecting metabolism. Whether gene-environment interactions affect metabolism during pregnancy remains unclear, which have implications for outcomes. We aimed to investigate main effects as well potential SNP-arsenic on efficiency in pregnant women. recruited 1613 women Bangladesh, and collected two urine samples from each participant, one at 4–16 weeks, the second 21–37 weeks of pregnancy. determined...
Human metabolism and inflammation are closely related modulators of homeostasis immunity. Metabolic profiling is a useful tool to understand the association between at systemic level.To investigate longitudinal associations concentration plasma metabolites biomarkers oxidative stress.We conducted repeated cross-sectional analysis consisting 8 short-term panels that included 88 healthy adult male welders in Massachusetts, USA. In each panel, we collected 1-6 measurements blood urine. We used...
Despite a number of known health hazards welding fume exposure, it is unclear how exposure affects the human metabolome.
Objectives: Welding fume is an occupational hazard that can cause a variety of health effects. We aimed to investigate inflammatory response profile and oxidative stress level after acute welding exposure. Methods: In 87 US adult boilermakers, we took measurements repeatedly immediately before shift, as well at two matched time points on non-welding days, following self-controlled design. The measured plasma biomarkers include IL-1β, IL-2, IL-6, IL-8, IL-10, TNF-α, VEGF, CRP, SAA, sICAM-1,...