A5018452412- Gut microbiota and health
- Pharmaceutical and Antibiotic Environmental Impacts
- Nutritional Studies and Diet
- Air Quality and Health Impacts
- Cardiovascular Health and Risk Factors
- Computational Drug Discovery Methods
- Infant Development and Preterm Care
- Metabolomics and Mass Spectrometry Studies
- Cardiovascular Function and Risk Factors
- Heavy Metal Exposure and Toxicity
- Climate Change and Health Impacts
- Clostridium difficile and Clostridium perfringens research
- Adolescent and Pediatric Healthcare
- Machine Learning in Healthcare
- Water Quality Monitoring and Analysis
- Pesticide and Herbicide Environmental Studies
- Occupational Health and Safety Research
- Infant Nutrition and Health
- Microbial Community Ecology and Physiology
- Consumer Attitudes and Food Labeling
- Food Security and Health in Diverse Populations
- Health, Environment, Cognitive Aging
- Pregnancy and Medication Impact
- Culinary Culture and Tourism
- Metabolism, Diabetes, and Cancer
Columbia University
2021-2024
The University of Texas at Arlington
2024
Nanjing Drum Tower Hospital
2024
China Pharmaceutical University
2024
Michigan State University
2019-2023
Lanzhou University
2023
New classes of emerging contaminants such as pharmaceuticals, antibiotic resistant bacteria (ARB), and resistance genes (ARGs) have received increasing attention due to rapid increases their abundance in agroecosystems. As food consumption is a direct exposure pathway ARB, ARGs humans, it important understand changes bacterial communities ARG profiles crops produced with contaminated soils waters. This study examined the level type community composition soil, lettuce shoots roots under...
Root concentration factor (RCF) is an important characterization parameter to describe accumulation of organic contaminants in plants from soils life cycle impact assessment (LCIA) and phytoremediation potential assessment. However, building robust predictive models remains challenging due the complex interactions among chemical–soil–plant root systems. Here we developed end-to-end machine learning devolve molecular structure relationship with RCF by training on a unified data set 341 points...
The gut microbiome is important in modulating health childhood. Metal exposures affect multiple outcomes, but their ability to modify bacterial communities children poorly understood.
Abstract Understanding how bacterial community assembly and antibiotic resistance genes (ARGs) respond to exposure is essential deciphering the ecological risk of anthropogenic pollution in soils. In this study, three loam soils with different land management (unmanured golf course, dairy‐manured pasture, swine‐manured cornfield) were spiked a mixture 11 antibiotics at initial concentration 100 1000 μg kg −1 for each incubated over 132 days, mimicking scenario pulse disturbance recovery...
In silico prediction of chemical ecotoxicity (HC50) represents an important complement to improve in vivo and vitro toxicological assessment manufactured chemicals. Recent application machine learning models predict HC50 yields variable performance that depends on effectively representations from high-dimension data. To performance, we developed autoencoder model by latent space embeddings. This novel approach achieved state-of-the-art with R2 0.668 ± 0.003 mean absolute error (MAE) 0.572...
Pregnant individuals are exposed to acetaminophen and caffeine, but it is unknown how these exposures interact with the developing gut microbiome. We aimed determine whether and/or caffeine relate childhood microbiome features of alter relationship between acetaminophen/caffeine neurodevelopment. Forty-nine 85 participants provided meconium stool samples at 6–7, respectively, for exposure assessment. Fecal concentrations were quantified, fecal DNA underwent metagenomic sequencing. Caregivers...
Contemporary environmental health sciences draw on large-scale longitudinal studies to understand the impact of exposures and behavior factors risk disease identify potential underlying mechanisms. In such studies, cohorts individuals are assembled followed up over time. Each cohort generates hundreds publications, which typically neither coherently organized nor summarized, hence limiting knowledge-driven dissemination. Hence, we propose a Cohort Network, multilayer knowledge graph approach...
Abstract Root concentration factor is an important substance-specific characterization parameter for plant uptake of organic contaminants from soils in life cycle impact assessment (LCIA); however, the availability a reliable dataset and building robust predictive models remain challenging due to complexity chemical-soil-plant root interactions. Here we developed end-to-end machine learning devolve interaction by training on unified with 341 data points covering 72 chemicals. The gradient...
Objective . Intrahepatic cholestasis of pregnancy (ICP) significantly impacts the maternal and fetal safety. Research on role clinical pharmacists in guiding drug therapy for this condition remains limited. This study aimed to evaluate effectiveness graded pharmaceutical care women with intrahepatic provide a theoretical foundation pharmacist services. Study Design comprises pre‐and‐post analysis treated between December 2019 June 2023 at tertiary hospital Jiangsu province. Each group...
Coronary heart disease (CHD) is one of the leading causes mortality and morbidity in United States. Accurate time-to-event CHD prediction models with high-dimensional DNA methylation clinical features may assist early intervention strategies. We developed a state-of-the-art deep learning autoencoder survival analysis model (AESurv) to effectively analyze blood traditional risk factors by low-dimensional representation participants for prediction. demonstrated utility our two cohort studies:...
Metal exposures are closely related to childhood developmental health. However, their effects on the gut microbiome, which also impacts health, largely unexplored using microbiome multiomics including metagenome and metatranscriptome. This study examined associations of fecal profiles metal/element with species active functional pathways in 8- 12-year-old children (
Metformin is the basic drug for treating diabetes, and plateau hypoxic environment an important factor affecting pharmacokinetics of metformin, but there have been no reports metformin pharmacokinetic parameters in patients with diabetes mellitus type 2 (T2DM) high-altitude environment. This study aims to investigate effect on assess efficacy safety administration Type (T2DM).
BACKGROUND AND AIM: The gut microbiome is important in modulating health childhood. Metal exposures affect multiple outcomes, but their ability to modify bacterial communities children poorly understood. We assessed the associations of childhood and perinatal blood metals with diversity, structure, species, pathway alterations. METHODS: using 16S rRNA amplicon sequencing shotgun metagenomic 6-7 year-old participating GESTation Environment (GESTE) cohort study. metal concentrations (cadmium,...
Background: Osteoporosis heavily affects postmenopausal women and is influenced by environmental exposures. Determining the impact of criteria air pollutants their mixtures on bone mineral density (BMD) in an urgent priority.Methods: We conducted a prospective observational study using data from ethnically diverse Women’s Health Initiative Study (WHI) (enrollment, September 1994-December 1998; analysis, January 2020 to August 2022). used log-normal, ordinary kriging estimate daily mean...
Background and aims Contemporary health sciences draw on large-scale longitudinal studies to understand the impact of lifestyle factors environmental exposures risk disease identify potential underlying mechanisms. While there are extensive associations between outcomes, relationships among different within a single cohort less studied. A database that summarizes those is important towards unifying existing knowledge inferring new information. In this study, we aim construct an...
Background and aim: Studies have shown American Indian communities a disproportionally high rate of coronary heart disease (CHD) compared with other ethnic groups. Microarrays for epigenome-wide DNA methylation data enabled researchers to model large number sites investigate their associations incident CHD. However, accurate prediction CHD from high-dimensional is challenging. We aim develop workflow accurately predict up 30 years prior diagnosis assist early intervention. Methods: The were...
Background: Since the explosion of microbiome research over last ten years, findings have shed light on multiple ways through which factors can interact with human and drive health disease. Evidence showed that may be an early response system to environmental toxins a biological mediator their adverse effects health. However, only few reviews provided framework for translation role gut in science. Methods: We summarized up-to-date published evidence compounds effect microbiome, subsequent...