Paula J. Bice

ORCID: 0000-0001-5357-9966
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About
Contact & Profiles
Research Areas
  • Genetic Mapping and Diversity in Plants and Animals
  • Bioinformatics and Genomic Networks
  • Alzheimer's disease research and treatments
  • Peroxisome Proliferator-Activated Receptors
  • Genetic Associations and Epidemiology
  • Dementia and Cognitive Impairment Research
  • Alcohol Consumption and Health Effects
  • Epigenetics and DNA Methylation
  • Lipid metabolism and biosynthesis
  • Neurotransmitter Receptor Influence on Behavior
  • Adipose Tissue and Metabolism
  • Gene expression and cancer classification
  • Biochemical Analysis and Sensing Techniques
  • Metabolomics and Mass Spectrometry Studies
  • MicroRNA in disease regulation
  • Neuroinflammation and Neurodegeneration Mechanisms
  • GABA and Rice Research
  • Computational Drug Discovery Methods
  • Olfactory and Sensory Function Studies
  • Mentoring and Academic Development
  • Receptor Mechanisms and Signaling
  • Stress Responses and Cortisol
  • Health and Medical Research Impacts
  • Functional Brain Connectivity Studies
  • Genetic Syndromes and Imprinting

Indiana University School of Medicine
2002-2025

Indiana University – Purdue University Indianapolis
2002-2025

Indiana University
2023

University School
2023

Rush University Medical Center
2023

Soonchunhyang University Hospital
2023

Seoul National University Bundang Hospital
2023

National University College
2023

New Generation University College
2023

Southeast Missouri State University
2018

Abstract INTRODUCTION The molecular mechanisms underlying early‐onset Alzheimer's disease (EOAD) and late‐onset (LOAD) remain incompletely understood, particularly in Asian populations. METHODS RNA‐sequencing was carried out on blood samples from 248 participants the Seoul National University Bundang Hospital cohort to perform differential gene expression (DGE) weighted co‐expression network analysis. Findings were replicated an independent Korean ( N = 275). RESULTS DGE analysis identified...

10.1002/alz.14563 article EN cc-by-nc-nd Alzheimer s & Dementia 2025-02-01

Deep learning is a promising tool that uses nonlinear transformations to extract features from high-dimensional data. challenging in genome-wide association studies (GWAS) with genomic Here we propose novel three-step approach (SWAT-CNN) for identification of genetic variants using deep identify phenotype-related single nucleotide polymorphisms (SNPs) can be applied develop accurate disease classification models. In the first step, divided whole genome into nonoverlapping fragments an...

10.1093/bib/bbac022 article EN Briefings in Bioinformatics 2022-02-10

Abstract Background Alzheimer’s dementia (AD) pathogenesis involves complex mechanisms, including microRNA (miRNA) dysregulation. Integrative network and machine learning analysis of miRNA can provide insights into AD pathology prognostic/diagnostic biomarkers. Methods We performed co-expression to identify modules associated with AD, its neuropathology markers, cognition using brain tissue profiles from the Religious Orders Study Rush Memory Aging Project (ROS/MAP) ( N = 702) as a discovery...

10.1186/s13195-023-01366-8 article EN cc-by Alzheimer s Research & Therapy 2024-01-09

Abstract INTRODUCTION The functional study of genetic risk factors for Alzheimer's disease (AD) provides insights into the underlying mechanisms and identification potential therapeutic targets. Investigating AD‐associated loci identified in East Asian populations using single‐nucleus RNA‐sequencing data may identify novel contributors. METHODS Cell type–specific expression quantitative trait (eQTL) peak‐to‐gene links were used to genes associated with 26 from seven genome‐wide association...

10.1002/alz.14553 article EN cc-by-nc-nd Alzheimer s & Dementia 2025-02-01

Selective breeding for high and low alcohol consumption led to the establishment of alcohol‐preferring (P) alcohol‐nonpreferring (NP) rat lines that differ greatly in their consumption. These were inbred F2 intercross progenies generated detect quantitative trait loci (QTLs) influencing A QTL on chromosome 4 was identified with a maximum lod score 8.6. This acts an additive fashion accounts 11% total phenotypic variability approximately one‐third genetic variability. Neuropeptide Y,...

10.1111/j.1530-0277.1998.tb03883.x article EN Alcoholism Clinical and Experimental Research 1998-06-01

Taste reactivity tests were used to examine the orofacial responses of alcohol preferring (P) rats and nonpreferring (NP) taste alcohol. In initial exposure, naive tested for five concentrations (5%, 10%, 20%, 30%, 40% v/v), water, one solution each sucrose quinine. A two‐bottle consumption test was then given a 3‐week period allow access 10% After preference test, second done using same solutions as in test. The results indicated no significant differences between P NP on except that made...

10.1111/j.1530-0277.1990.tb01234.x article EN Alcoholism Clinical and Experimental Research 1990-10-01

Analyzing disease-linked genetic variants via expression quantitative trait loci (eQTLs) is important for identifying potential disease-causing genes. Previous research prioritized genes by integrating Genome-Wide Association Study (GWAS) results with tissue- level eQTLs. Recent studies have explored brain cell type-specific eQTLs, but they lack a systematic analysis across various Alzheimer's disease (AD) GWAS datasets, nor did compare effects between tissue and type levels or different...

10.1101/2025.01.08.25320199 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2025-01-09

10.1002/trc2.70041 article EN cc-by-nc-nd Alzheimer s & Dementia Translational Research & Clinical Interventions 2025-01-01

In the highly competitive environment of academic medicine, junior faculty investigators face high attrition rates due to challenges in finding effective mentorship, securing grant funding, and obtaining resources support their career development research productivity. The purpose this study was describe centralized, cost-sharing design Independent Investigator Incubator (I3) program as a novel approach mentoring evaluate quantitative outcomes for improvement. September 2014, I3 pilot...

10.1186/s12909-018-1290-3 article EN cc-by BMC Medical Education 2018-08-06

The interaction between the brain and periphery might play a crucial role in development of Alzheimer's disease (AD).

10.1186/s13195-021-00919-z article EN cc-by Alzheimer s Research & Therapy 2021-11-03
Taeho Jo Jun Pyo Kim Paula J. Bice Kevin Huynh Tingting Wang and 95 more Matthias Arnold Peter J. Meikle Corey Giles Rima Kaddurah‐Daouk Andrew J. Saykin Kwangsik Nho Rima Kaddurah‐Daouk Alexandra Kueider‐Paisley P. Murali Doraiswamy Colette Blach Arthur Moseley Will J. Thompson Lisa St. John‐Williams Siamak Mahmoudiandehkhordi Jessica D. Tenenbaum Kathleen Welsh-Balmer Brenda L. Plassman Andrew J. Saykin Kwangsik Nho Shannon L. Risacher Gabi Kastenmüller Matthias Arnold Xianlin Han Rebecca Baillie Rob Knight Pieter C. Dorrestein James B. Brewer Emeran A. Mayer Jennifer S. Labus Pierre Baldi Arpana Gupta Oliver Fiehn Dinesh Kumar Barupal Peter J. Meikle Sarkis K. Mazmanian Dan Rader Mitchel A. Kling Leslie M. Shaw John Q. Trojanowski Cornelia van Duijin Alejo Nevado‐Holgado David A. Bennett Ranga Krishnan Ali Keshavarzian Robin Vogt M. Arfan Ikram Thomas Hankemeier Ines Thiele Nathan D. Price Cory C. Funk Priyanka Baloni Jia Wang David S. Wishart Roberta Dı́az Brinton Rui Chang Lindsay A. Farrer Rhoda Au Wendy Qiu Peter Würtz Therese Koal Lara M. Mangravite Jan Krumsiek Karsten Suhre John C. Newman Herman Moreno Tatania Foroud Frank M. Sacks Janet Jansson Michael W. Weiner Paul Aisen Ronald Petersen Clifford R. Jack William J. Jagust John Q. Trojanowki Arthur W. Toga Laurel Beckett Robert C. Green Andrew J. Saykin John C. Morris Richard J. Perrin Leslie M. Shaw Zaven S. Khachaturian Marı́a C. Carrillo William Z. Potter Lisa L. Barnes Marie Bernard Héctor Alfredo Baptista González Carole Ho John Hsiao Jonathan Jackson Eliezer Masliah Donna Masterman Ozioma C. Okonkwo Richard J. Perrin Laurie Ryan

BackgroundDeep learning has shown potential in various scientific domains but faces challenges when applied to complex, high-dimensional multi-omics data. Alzheimer's Disease (AD) is a neurodegenerative disorder that lacks targeted therapeutic options. This study introduces the Circular-Sliding Window Association Test (c-SWAT) improve classification accuracy predicting AD using serum-based metabolomics data, specifically lipidomics.MethodsThe c-SWAT methodology builds upon existing Sliding...

10.1016/j.ebiom.2023.104820 article EN cc-by-nc-nd EBioMedicine 2023-10-07

High alcohol drinking (HAD) and low (LAD) rats were tested, in three exposures, for taste reactivity to five concentrations of (5%, 10%, 20%, 30%, 40%, v/v), water, one concentration each sucrose quinine. Of the was done before a 3‐week period continuous access water 10% alcohol, second test immediately after consumption period, final 1 month abstinence. The results showed that groups did not differ on initial test. After tests (when HAD consumed significantly more than LAD rats),...

10.1111/j.1530-0277.1995.tb01503.x article EN Alcoholism Clinical and Experimental Research 1995-04-01

Naive, male rats ( n = 14) were given continuous access to 10% alcohol and water for a period of 6 weeks. Concurrent taste reactivity tests showed consistent increase in ingestive responding range concentrations (100%‐40%) over the course access. The also decrease aversive time. These data suggested that palatability increased with experience. After 1‐month abstinence, however, returned same level as found when naive, whereas approached seen initially. A separate control group 13) only...

10.1111/j.1530-0277.1994.tb00909.x article EN Alcoholism Clinical and Experimental Research 1994-06-01

Our previously developed blood-based transcriptional risk scores (TRS) showed associations with diagnosis and neuroimaging biomarkers for Alzheimer's disease (AD). Here, we brain-based TRS.

10.1002/alz.13406 article EN cc-by-nc-nd Alzheimer s & Dementia 2023-08-10
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