Donglin Zeng
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View article: Adenosine Triggers an ADK-Dependent Intracellular Signaling Pathway Interacts PFKFB3-Mediated Glycolytic Metabolism to Promote Newly Formed Myofibers Development
Adenosine Triggers an ADK-Dependent Intracellular Signaling Pathway Interacts PFKFB3-Mediated Glycolytic Metabolism to Promote Newly Formed Myofibers Development Open
Myopathy encompasses a group of diseases characterized by abnormalities in both muscle function and structure. However, the underlying regulatory mechanisms of newly formed myofiber development remain poorly defined. No promising therapeut…
View article: Computationally efficient methods for estimating phenome—wide coheritability of multi-type phenotypes using biobank data
Computationally efficient methods for estimating phenome—wide coheritability of multi-type phenotypes using biobank data Open
Biobank data provide a rich source for studying the coheritability of multiple disease phenotypes, which can provide information on shared genetic etiology. However, the large number and heterogeneous types of phenotypes (e.g., continuous,…
View article: PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing
PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing Open
Reinforcement learning (RL) aims to learn and evaluate a sequential decision rule, often referred to as a "policy", that maximizes the population-level benefit in an environment across possibly infinitely many time steps. However, the sequ…
View article: Modeling longitudinal change in biomarkers using data from a complex survey sampling design: An application to the Hispanic Community Health Study/Study of Latinos
Modeling longitudinal change in biomarkers using data from a complex survey sampling design: An application to the Hispanic Community Health Study/Study of Latinos Open
In observational cohort studies, there is frequently interest in modeling longitudinal change in a biomarker (ie, physiological measure indicative of metabolic dysregulation or disease; eg, blood pressure) in the absence of treatment (ie, …
View article: Maximum likelihood estimation for semiparametric regression models with interval-censored multistate data
Maximum likelihood estimation for semiparametric regression models with interval-censored multistate data Open
Summary Interval-censored multistate data arise in many studies of chronic diseases, where the health status of a subject can be characterized by a finite number of disease states and the transition between any two states is only known to …
View article: S1-MatAgent: A planner driven multi-agent system for material discovery
S1-MatAgent: A planner driven multi-agent system for material discovery Open
The discovery of high-performance materials is crucial for technological advancement. Inverse design using multi-agent systems (MAS) shows great potential for new material discovery. However, current MAS for materials research rely on pred…
View article: A New Class of Mark-Specific Proportional Hazards Models for Recurrent Events: Application to Opioid Refills Among Post-Surgical Patients
A New Class of Mark-Specific Proportional Hazards Models for Recurrent Events: Application to Opioid Refills Among Post-Surgical Patients Open
Prescription opioids relieve moderate-to-severe pain after surgery, but overprescription can lead to misuse and overdose. Understanding factors associated with post-surgical opioid refills is crucial for improving pain management and reduc…
View article: Double Machine Learning for Estimating Time-Varying Delayed and Instantaneous Effects Using Digital Phenotypes
Double Machine Learning for Estimating Time-Varying Delayed and Instantaneous Effects Using Digital Phenotypes Open
Mobile health (mHealth) leverages digital technologies, such as mobile phones, to capture objective, frequent, and real-world digital phenotypes from individuals, enabling the delivery of tailored interventions to accommodate substantial b…
View article: Evaluating the Efficacy of Coronavirus Disease 2019 Vaccines
Evaluating the Efficacy of Coronavirus Disease 2019 Vaccines Open
A large number of studies are being conducted to evaluate the efficacy and safety of candidate vaccines against coronavirus disease 2019 (COVID-19). Most phase 3 trials have adopted virologically confirmed symptomatic COVID-19 as the prima…
View article: Sleep and neurocognitive decline in the Hispanic Community Health Study/Study of Latinos
Sleep and neurocognitive decline in the Hispanic Community Health Study/Study of Latinos Open
INTRODUCTION: To determine if sleep-disordered breathing (SDB), daytime sleepiness, insomnia, and sleep duration predict seven-year neurocognitive decline in US Hispanics/Latinos (N = 5247). METHODS: The exposures were baseline SDB, daytim…
View article: Association of HSD17B13 rs72613567:TA with non‐alcoholic fatty liver disease in Hispanics/Latinos
Association of HSD17B13 rs72613567:TA with non‐alcoholic fatty liver disease in Hispanics/Latinos Open
INTRODUCTION: Non-alcoholic fatty liver disease (NAFLD) disproportionately affects Hispanic/Latinos and rates of NAFLD vary among Hispanics from different background groups. Genetic variants and continental ancestry contribute to NAFLD dis…
View article: Diabetes, Cognitive Decline, and Mild Cognitive Impairment Among Diverse Hispanics/Latinos: Study of Latinos–Investigation of Neurocognitive Aging Results (HCHS/SOL)
Diabetes, Cognitive Decline, and Mild Cognitive Impairment Among Diverse Hispanics/Latinos: Study of Latinos–Investigation of Neurocognitive Aging Results (HCHS/SOL) Open
OBJECTIVE: Hispanics/Latinos are the largest ethnic/racial group in the U.S., have the highest prevalence of diabetes, and are at increased risk for neurodegenerative disorders. Currently, little is known about the relationship between dia…
View article: Simultaneous Feature Selection for Optimal Dynamic Treatment Regimens
Simultaneous Feature Selection for Optimal Dynamic Treatment Regimens Open
Dynamic treatment regimens (DTRs), where treatment decisions are tailored to individual patient's characteristics and evolving health status over multiple stages, have gained increasing interest in the modern era of precision medicine. Ide…
View article: Evaluating the Long-term Efficacy of Coronavirus Disease 2019 (COVID-19) Vaccines
Evaluating the Long-term Efficacy of Coronavirus Disease 2019 (COVID-19) Vaccines Open
Large-scale deployment of safe and durably effective vaccines can curtail the coronavirus disease-2019 (COVID-19) pandemic. However, the high vaccine efficacy (VE) reported by ongoing phase 3 placebo-controlled clinical trials is based on …
View article: Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model.
Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model. Open
COVID-19 pandemic has caused unprecedented negative impacts on our society, including further exposing inequity and disparity in public health. To study the impact of socioeconomic factors on COVID transmission, we first propose a spatial-…
View article: Long-Term Exposure to Ambient Air Pollution and Cognitive Function Among Hispanic/Latino Adults in San Diego, California.
Long-Term Exposure to Ambient Air Pollution and Cognitive Function Among Hispanic/Latino Adults in San Diego, California. Open
BACKGROUND: Hispanics/Latinos in the United States are more likely to live in neighborhoods with greater exposure to air pollution and are projected to have the largest increase in dementia among race/ethnic minority groups. OBJECTIVE: We …
View article: Measuring frailty in clinical practice: Overcoming challenges with implementation
Measuring frailty in clinical practice: Overcoming challenges with implementation Open
INTRODUCTION Frailty is a geriatric syndrome classified as a decline in biological reserve and functioning across multiple physiological systems. Frailty is associated with a lower quality of life and an increased risk of hospitalization a…
View article: The Association of Stress, Metabolic Syndrome, and Systemic Inflammation With Neurocognitive Function in the Hispanic Community Health Study/Study of Latinos and Its Sociocultural Ancillary Study
The Association of Stress, Metabolic Syndrome, and Systemic Inflammation With Neurocognitive Function in the Hispanic Community Health Study/Study of Latinos and Its Sociocultural Ancillary Study Open
OBJECTIVES: Identifying sociocultural correlates of neurocognitive dysfunction among Hispanics/Latinos, and their underlying biological pathways, is crucial for understanding disparities in Alzheimer's disease and related dementias. We exa…
View article: Psychosocial Factors Associated with Cognitive Function Among Middle-Aged and Older Hispanics/Latinos: The Hispanic Community Health Study/Study of Latinos and its Sociocultural Ancillary Study.
Psychosocial Factors Associated with Cognitive Function Among Middle-Aged and Older Hispanics/Latinos: The Hispanic Community Health Study/Study of Latinos and its Sociocultural Ancillary Study. Open
BACKGROUND: Evidence suggests that psychosocial factors are associated with cognitive health in older adults; however, associations of psychosocial factors with cognition remain largely unexamined in middle-aged and older Hispanics/Latinos…
View article: Testing Measurement Equivalence of Neurocognitive Assessments Across Language in the Hispanic Community Health Study/Study of Latinos
Testing Measurement Equivalence of Neurocognitive Assessments Across Language in the Hispanic Community Health Study/Study of Latinos Open
OBJECTIVE: Neuropsychological instruments are often developed in English and translated to other languages to facilitate the clinical evaluation of diverse populations or to utilize in research environments. However, the psychometric equiv…
View article: Blood metabolites predicting mild cognitive impairment in the study of Latinos‐investigation of neurocognitive aging (HCHS/SOL)
Blood metabolites predicting mild cognitive impairment in the study of Latinos‐investigation of neurocognitive aging (HCHS/SOL) Open
INTRODUCTION: Blood metabolomics-based biomarkers may be useful to predict measures of neurocognitive aging. METHODS: We tested the association between 707 blood metabolites measured in 1451 participants from the Hispanic Community Health …
View article: Proportional rates models for multivariate panel count data
Proportional rates models for multivariate panel count data Open
Multivariate panel count data arise when there are multiple types of recurrent events, and the observation for each study subject consists of the number of recurrent events of each type between two successive examinations. We formulate the…
View article: Fitting the Cox proportional hazards model to big data
Fitting the Cox proportional hazards model to big data Open
The semiparametric Cox proportional hazards model, together with the partial likelihood principle, has been widely used to study the effects of potentially time-dependent covariates on a possibly censored event time. We propose a computati…