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Evaluation Of Cardiac Troponin T And Ischemia-Modified Albumin Changes With Hemodialysis Session In Pediatric Patients With End-Stage Renal Disease, Zeinab Ezz Elden Abass Abd Eldayem, Ashraf Mohammed Abdel Basset, Gehan Attia Abdehakem, Shiama Abdelmgiad, Nermin Yossef Abo Elkheir Jan 2026

Evaluation Of Cardiac Troponin T And Ischemia-Modified Albumin Changes With Hemodialysis Session In Pediatric Patients With End-Stage Renal Disease, Zeinab Ezz Elden Abass Abd Eldayem, Ashraf Mohammed Abdel Basset, Gehan Attia Abdehakem, Shiama Abdelmgiad, Nermin Yossef Abo Elkheir

Mansoura Medical Journal

Background : Cardiovascular status in dialysis patients is complicated by a wide range of factors that can affect long-term prognosis. Cardiac biomarkers changes with hemodialysis session could affect the cardiac integrity of those patients. Aim of the work: Assess the changes of cardiac ischemic biomarkers (Troponin T and ischemia modified albumin) before and after hemodialysis session in patients with ESRD in pediatric age group and study of correlations of changes with the hemodialysis parameters. Patients and methods: The study included 40 pediatric ESRD patients who were admitted to Pediatric Cardiology Unit, Pediatric Nephrology and Dialysis Unit of Mansoura University Children’s …


Coral Holobiont Lipidome Response To Global Change, Lauren Zane Jan 2026

Coral Holobiont Lipidome Response To Global Change, Lauren Zane

Open Access Dissertations

Climate change is fundamentally restructuring macro-scale marine ecosystem structure and function by altering microscale metabolic processes and patterns of energy allocation. Scleractinian corals, as major ecosystem engineers, play outsized roles in ecosystem structure and function. They also occupy diverse habitats that differ in temperature regimes, light environments, hydrodynamics, and other environmental conditions, exposing corals to substantial spatial variation in stress and resource availability. Their fragile nutritional symbiosis with algal endosymbionts helps them navigate these environmental variations, but are also highly sensitive to environmental stress, particularly the timing and magnitude of water temperature changes. As pressure from environmental changes increases, the …


Scientific Kenyon: Neuroscience Edition (Full Issue) Jan 2026

Scientific Kenyon: Neuroscience Edition (Full Issue)

Scientific Kenyon: The Neuroscience Edition

No abstract provided.


Letter From The Founder And Professor Jan 2026

Letter From The Founder And Professor

Scientific Kenyon: The Neuroscience Edition

No abstract provided.


Ctrl + Alt + Neuron, Stuart Hilton Jan 2026

Ctrl + Alt + Neuron, Stuart Hilton

Scientific Kenyon: The Neuroscience Edition

No abstract provided.


Smile! Your Brain Is On Camera, Natalie Stone Jan 2026

Smile! Your Brain Is On Camera, Natalie Stone

Scientific Kenyon: The Neuroscience Edition

No abstract provided.


The 400 Millisecond Mind, Adrian Mangine Jan 2026

The 400 Millisecond Mind, Adrian Mangine

Scientific Kenyon: The Neuroscience Edition

No abstract provided.


A Major Update And Improved Validation Functionality In The Mwtab Python Library And The Metabolomics Workbench File Status Website, P. Travis Thompson, Hunter N. B. Moseley Jan 2026

A Major Update And Improved Validation Functionality In The Mwtab Python Library And The Metabolomics Workbench File Status Website, P. Travis Thompson, Hunter N. B. Moseley

Markey Cancer Center Faculty Publications

Background: The Metabolomics Workbench (MW) is a public scientific data repository consisting of experimental data and metadata from metabolomics studies collected with mass spectroscopy (MS) and nuclear magnetic resonance (NMR) analyses. Although not as rapidly as in the past, MW has steadily evolved, updating its mwTab and JSON deposition text file formats and its web-based infrastructure. However, the growth of MW has been exponential since its inception in 2013 and continues to be exponential, with the number of datasets hosted on the repository increasing by 50% since April 2024. As part of regular maintenance to keep up with changes to …


Hydroponics In The Classroom: Cultivating Plants, Captivating Young People, Stacy A. Adams, Christian Stephenson, Theresa James, Kim Todd Jan 2026

Hydroponics In The Classroom: Cultivating Plants, Captivating Young People, Stacy A. Adams, Christian Stephenson, Theresa James, Kim Todd

Department of Agronomy and Horticulture: Faculty Publications

Few students take the initiative to pursue coursework beyond that required for progression to graduation. Limited are opportunities that connect educational content to industry application, potentially inspiring young people towards impactful careers. The United States government has emphasized the importance of STEM education to ensure national security and to maintain economic competitiveness globally. STEM education is not a defined discipline but an approach for building knowledge through application and engagement. Developing and managing a hydroponics prototype provides numerous opportunities for embedding STEM content into a fun and interactive project. This poster provides inspiration for constructing a simple deep water culture …


Dataset: The Impact Of External Resource Use On The Validity Of Score Interpretation For A Biology Concept Assessment Administered Out-Of-Class, Tiffany J. Burgess, Crystal Uminski, Gia Alicea, Brian A. Couch Jan 2026

Dataset: The Impact Of External Resource Use On The Validity Of Score Interpretation For A Biology Concept Assessment Administered Out-Of-Class, Tiffany J. Burgess, Crystal Uminski, Gia Alicea, Brian A. Couch

School of Biological Sciences: Faculty Publications

Instructors use concept assessments to gauge student knowledge and guide course improvement. Many instructors experience time and logistical constraints around administering these assessments in class. For this reason, administering concept assessments outside of class can help increase feasibility. While previous studies have cautioned that the use of external resources (e.g., internet, course notes, peers) in the out-of-class setting may inflate assessment scores, the extent to which undergraduate students access various resources when completing concept assessments is unknown. The current study uses two survey question formats to better understand whether students engage with external resources when taking a biology concept assessment …


Dataset: Participation Versus Points: Examining The Impact Of Grading Conditions On Student Resource Use During An Out-Of-Class Biology Concept Assessment, Tiffany J. Burgess, Crystal Uminski, Brian A. Couch Jan 2026

Dataset: Participation Versus Points: Examining The Impact Of Grading Conditions On Student Resource Use During An Out-Of-Class Biology Concept Assessment, Tiffany J. Burgess, Crystal Uminski, Brian A. Couch

School of Biological Sciences: Faculty Publications

Instructors use concept assessments to collect diagnostic information regarding student learning and to inform decisions surrounding instructional interventions and course modifications. Administering concept assessments out-of-class helps preserve already limited instructional time, but instructors still must consider whether to apply a lower-stakes (i.e., participation) versus higher-stakes (i.e., correctness) grading scheme. An increase in stakes is likely to prompt additional effort, but it may also increase undesired behaviors and inadvertently prompt external resource use, such as students leveraging their notes, the internet, or their peers. In the present study, we compared student self-reported resource use on a biology concept assessment administered under …


Nanoparticle Carriers Enhance The Prophylactic Antiviral Effects Of Dsrna In Vitro And Ex Vivo, Shayne Oberhoffner, Stephanie Dewitte-Orr, Starla Richardson, Leah Haile, Dominique Daniels, Erin Cooper, Aizah Ijaz, Janet Velasquez Perez, Mathilde Peruzzi, Bertrand Collet, Paul Craig, Kristof Jenik Jan 2026

Nanoparticle Carriers Enhance The Prophylactic Antiviral Effects Of Dsrna In Vitro And Ex Vivo, Shayne Oberhoffner, Stephanie Dewitte-Orr, Starla Richardson, Leah Haile, Dominique Daniels, Erin Cooper, Aizah Ijaz, Janet Velasquez Perez, Mathilde Peruzzi, Bertrand Collet, Paul Craig, Kristof Jenik

Theses and Dissertations (Comprehensive)

Aquaculture now outpaces traditional capture fisheries as the world population and demand for sustainable protein sources increases. Wild and farmed species are increasingly susceptible to pathogen spread as global temperatures rise and stocking densities increase. Despite the devastating losses experienced by aquaculture due to viral infections, there remain few effective prophylactic antiviral therapeutics. Long double-stranded (ds)RNA is a uniquely viral molecule produced by nearly all viruses during their replication cycle, and its detection by salmonids like rainbow trout (Oncorhynchus mykiss) and chinook salmon (Oncorhynchus tshawytsha) leads to the establishment of a defensive antiviral state. Previous in vitro studies demonstrated a …


Adapting To Uncertainty: Effects Of Environmental Instability On Zebrafish Behaviour, Britney Sekulovski Jan 2026

Adapting To Uncertainty: Effects Of Environmental Instability On Zebrafish Behaviour, Britney Sekulovski

Theses and Dissertations (Comprehensive)

This thesis addresses how animals cope with unpredictability by testing how environmental stability changes the behaviour of zebrafish (Danio rerio) in two complementary experiments. In Experiment 1, fish lived for three months in either a Dynamic environment (water temperature, feeding times, habitat complexity, group size, and membership fluctuated) or a Stable environment (all factors constant). Across seven behavioural assays, measuring individual behavioural differences, collective movement, social memory, and information use, Dynamic condition fish were found to be more sensitive to social cues and more likely to conform to recent social information, independent of the quality of the information …


Taylorkan-Vit: Parameter-Efficient Vision Transformers For Medical Image Classification, Kaniz Fatema, Dr. Emad Mohammed, Dr. Sukhjit Singh Sehra Jan 2026

Taylorkan-Vit: Parameter-Efficient Vision Transformers For Medical Image Classification, Kaniz Fatema, Dr. Emad Mohammed, Dr. Sukhjit Singh Sehra

Theses and Dissertations (Comprehensive)

Effective and interpretable classification of medical images remains a critical challenge in computer-aided diagnosis, particularly in data-scarce and resource-constrained clinical settings where traditional deep learning models prove impractical. This study addresses the fundamental barrier to Vision Transformer adoption in medical imaging—massive parameter counts and data requirements—through a systematic two-phase methodology. Phase 1 evaluates three spline-based Kolmogorov–Arnold Network (KAN) variants to identify the optimal nonlinear approximation function for parameter-efficient medical image classification: SBTAYLOR-KAN (B-splines with Taylor series), SBRBF-KAN (B-splines with Radial Basis Functions), and SBWAVELET-KAN (B-splines with Morlet wavelets). Comprehensive experiments across brain MRI, chest X-rays, and tuberculosis datasets—without any image …


Analysis Of Alternative Oxidase In Non-Angiosperm Plants, Anissa M. Francis Jan 2026

Analysis Of Alternative Oxidase In Non-Angiosperm Plants, Anissa M. Francis

Theses and Dissertations (Comprehensive)

Alternative oxidase (AOX) is a mitochondrial terminal oxidase that provides an alternative pathway for electron transport, allowing plants to maintain respiratory flexibility under environmental stress conditions. While AOX has been extensively studied in angiosperms (flowering plants), little is known about its distribution and conservation in non-angiosperms. Based on gaps identified in the literature, this thesis investigated the distribution of AOX across non-angiosperm plant lineages. Although AOX is present in many green algae and is therefore considered to be an ancient protein that originated before the existence of non-angiosperm plants, it remains unclear whether the protein is uniformly distributed across these …


Impact Of Cigarette Smoke On Immune And Stromal Cells, Justin Wong Jan 2026

Impact Of Cigarette Smoke On Immune And Stromal Cells, Justin Wong

Master's Projects

Cigarette smoke is a plight on human health, being a major contributor to lung diseases. The aryl hydrocarbon receptor (AHR) directs immune regulation and metabolic adaptation in response to environmental toxins. This study investigates transcriptomic changes between wild-type and AHR knockout mouse lung tissue under smoke and air conditions. Single-cell RNA sequencing data were generated by the Butcher Lab and analyzed in Seurat for differential gene expression (DGE) analysis. A two way ANOVA framework was used with DGE analysis to classify genes as smoke induced or suppressed in an AHR dependent or independent manner, and these gene sets were analyzed …


Searching For Cause Of Unexplained Protein Interaction With Multiple Assembly Methods, Gavin Anderson Jan 2026

Searching For Cause Of Unexplained Protein Interaction With Multiple Assembly Methods, Gavin Anderson

Master's Projects

Research into colistin adjuvants has identified interactions between a host of proteins and proteins found within certain strains of bacteria. BLAST, a widely adopted local sequence alignment tool, was used to create a database containing the genomes of relevant bacterial strains, which would then be used to query against the previously identified proteins. Many of these strains do not have publicly available assemblies, which makes database construction difficult. CATwalk, a new naïve fragment extender, is first described in this paper and used to extend fragments of interest. BLAST results first identified short fragments with sufficient similarity, which can then be …


Detection And Characterization Of Cancer Using Cfdna Fragmentomic Analysis, Guneet Bhogal Jan 2026

Detection And Characterization Of Cancer Using Cfdna Fragmentomic Analysis, Guneet Bhogal

Master's Projects

Cell-free DNA (cfDNA) fragmentomics has emerged as a promising non-invasive approach for detecting and characterizing cancer by analyzing DNA fragmentation patterns. These fragment patterns are unique and can be used to distinguish between tumor and healthy DNA. This paper uses machine learning models to detect cancer by evaluating Shannon entropy of fragment lengths at the first coding exon 1 regions and correlating them to targeted cancer genes. This approach was applied to two datasets consisting of samples with prostate, breast, and lung cancers. Our results indicated that exon 1 fragmentation entropy captures biologically relevant differences in cancer-specific chromatin organization and …


Combining Crispr And Nanoasv To Uncover The Rare Bacterial Communities Of The Human Oral Microbiome, Gilma Ruth Sevilla Alvarez Jan 2026

Combining Crispr And Nanoasv To Uncover The Rare Bacterial Communities Of The Human Oral Microbiome, Gilma Ruth Sevilla Alvarez

Master's Projects

Studying the oral microbiome is vital because its health implications are not contained to the mouth. Cariogenic bacteria cause tooth demineralization and oral microbes that translocate to extra-oral organ systems are linked to conditions like Alzheimer’s disease, heart disease, diabetes, and cancer. Some of these pathogens belong to the most abundant phyla in the oral cavity: Bacillota, Pseudomonadota, Bacteroidota, Actinomycetota, Spirochaetota, and Fusobacteriota, which together comprise 94% of the oral microbiome. This project uses CRISPR-Cas9 to deplete sequences from highly abundant phyla and the Eubacteria domain, enriching the remaining 6% of rarer taxa. Paired with NanoASV for single-nucleotide resolution, this …


Challenging And Diagnosing Structured Population Models By Testing Predictions From Stochastic Demography, Stephen P. Ellner, Robin E. Snyder, Daniel T. Blumstein, Dylan Z. Childs, Joshua C. Fowler, Christina M. Hernández, Julien G. A. Martin, María Paniw, Yngvild Vindenes Jan 2026

Challenging And Diagnosing Structured Population Models By Testing Predictions From Stochastic Demography, Stephen P. Ellner, Robin E. Snyder, Daniel T. Blumstein, Dylan Z. Childs, Joshua C. Fowler, Christina M. Hernández, Julien G. A. Martin, María Paniw, Yngvild Vindenes

Biological Sciences Faculty Publications

1. Structured population models are parameterized to accurately project expected population sizes, stage/state distributions and population growth rates, but they also predict the variation in outcomes among individuals, such as the variance and skewness of lifetime reproductive output (LRO) and lifespan, the probability of never reproducing, and many other life-history metrics.

2. Testing such predictions about individual outcomes can be very useful model 'stress tests', because they depend on how components of the model (e.g. submodels for survival and fecundity) interact over multiple time steps, not just on the accuracy of the submodels. Because data on among-individual variation is rarely …


Dual Language Learner Status In Relation To Cortisol For Children In Head Start Preschool, Keala Bratsch Jan 2026

Dual Language Learner Status In Relation To Cortisol For Children In Head Start Preschool, Keala Bratsch

West Chester University Graduate Theses, Dissertations, and Final Projects

Early childhood education (ECE) has well documented school readiness benefits, especially for children facing economic hardship. Yet preschool context poses challenges that are associated with elevated stress levels and potential long-term tax on physiological systems that respond to stress. The present study examined dual language learner (DLL) status in relation to levels of the stress hormone cortisol among low-income children attending Head Start Preschool programs. Participants included 207 children ages 3- 5 years who attended preschool in 2021-22 (60.9% attending a dual-language learning school, 39.1% attending an English-instruction-only preschool; all participants meeting the criteria for low-income), and their parents or …


Assessing Forest Health And Small Mammals After A Limited Suppression Wildfire In Colville National Forest, Samantha J. Kennel Jan 2026

Assessing Forest Health And Small Mammals After A Limited Suppression Wildfire In Colville National Forest, Samantha J. Kennel

EWU Masters Thesis Collection

In the face of a wildfire crisis, there is a growing need to expand the pace and scale of forest treatments, including the strategic use of wildfire as a management tool. However, ecological outcomes remain uncertain in forests shaped by more than a century of fire suppression. The 2022 Thor Fire, a managed wildfire in the Colville National Forest, Washington, provides an opportunity to evaluate forest health in a relatively understudied system. Using a control–impact design, I established 100 monitoring plots in burned and adjacent unburned forests to assess how wildfire and fire severity influence forest structure, fuels, and tree …


Molecular Detection Of Campylobacter Spp. In Filth Flies Associated With Broiler Breeder Facilities In Oklahoma And Arkansas, Allen Szalanski Jan 2026

Molecular Detection Of Campylobacter Spp. In Filth Flies Associated With Broiler Breeder Facilities In Oklahoma And Arkansas, Allen Szalanski

Entomology and Plant Pathology Faculty Publications and Presentations

Adult filth flies (Diptera: Muscidae) (non-biting flies that develop in decaying organic matter) are abundant in poultry facilities and may contribute to the dissemination of pathogenic Campylobacter spp. among flocks. We sampled adult house flies, Musca domestica L., and black dump flies, Hydrotaea aenescens (Wiedemann), at five broiler-breeder farms in Oklahoma and Arkansas to determine the prevalence of Campylobacter spp. vectored by filth flies and the effects of farm, fly species, and location (inside vs outside houses) on the rates of Campylobacter spp. occurrence. A total of 1,076 house flies and 1,008 black dump flies were collected inside and outside …


Think It, Believe It, Receive It, Angelia Nguyen Jan 2026

Think It, Believe It, Receive It, Angelia Nguyen

Scientific Kenyon: The Neuroscience Edition

No abstract provided.


Intelligent Audio‑To‑Indian Sign‑Language And Sign‑To‑Audio Translation System Using Mediapipe, Tensorflow, Whisper And Google Tts, N. Pothanna, T. Kusuma, S. Haindavi, T. Sreeja, Shaik Shaheem Taj Jan 2026

Intelligent Audio‑To‑Indian Sign‑Language And Sign‑To‑Audio Translation System Using Mediapipe, Tensorflow, Whisper And Google Tts, N. Pothanna, T. Kusuma, S. Haindavi, T. Sreeja, Shaik Shaheem Taj

Mansoura Engineering Journal

Communication barriers between the Deaf community and the general public remain a persistent challenge, particularly in multilingual settings where Indian Sign Language (ISL) is the primary mode of interaction. We propose a real-time bidirectional translation framework integrating MediaPipe for hand landmark extraction, a Convolutional Neural Network (CNN) classifier built with TensorFlow/Keras for gesture recognition, OpenAI Whisper for robust multilingual speech-to-text transcription, and Google TTS for naturalistic speech synthesis. The system achieves 93% classification accuracy across 35 ISL classes (alphabets A–Z and numerals 1–9) on a dataset of 42,700 images, with macro and weighted F1-scores of 0.93. Deployed as a Flask …


Enhancing Underwater Imagery And Organism Detection Using Reinforcement Learning, K. Arul Deepa, P. Ramya, Karpaga Vinodha, Dharmaraja C Jan 2026

Enhancing Underwater Imagery And Organism Detection Using Reinforcement Learning, K. Arul Deepa, P. Ramya, Karpaga Vinodha, Dharmaraja C

Journal of Marine Science and Technology–Taiwan

Underwater environments pose significant challenges in assessing image quality and organism detection due to light scattering and absorption, which limits visibility and color fidelity. Existing solutions often fail to effectively address these challenges, resulting in suboptimal image quality and hindering organism identification. This paper examines the problem through a dual-focused approach: enhancing underwater images and detecting organisms using the Underwater Image Enhancement Benchmark (UIEB) dataset. The first step introduces a state-of-the-art method for image enhancement by applying reinforcement learning (RL) principles. By formulating the enhancement process as a Markov Decision Process (MDP)—where states are represented by image features and actions …


Hybridization And Introgression In Marine Invertebrates: Population Genomics Of Phymactis Papillosa And Asterias Sea Stars, Christopher J. Dookie Jan 2026

Hybridization And Introgression In Marine Invertebrates: Population Genomics Of Phymactis Papillosa And Asterias Sea Stars, Christopher J. Dookie

Dissertations and Theses

Hybridization and introgression are evolutionary significant processes in marine invertebrates (Sanford & Kelly,2011) yet genome-wide investigations of gene flow in these taxa remain limited relative to vertebrate systems (Marchi et al., 2021). This thesis presents genomic analyses of hybridization and introgression in two marine invertebrates occupying contrasting oceanographic settings and characterized by contrasting genomic datasets: restriction-site associated DNA sequencing (RADseq) SNP data for the eastern Pacific sea anemone Phymactis papillosa and whole genome sequencing (WGS) data for the North Atlantic sea stars Asterias rubens and Asterias forbesi. For each system, I applied coalescent-based species tree inference using CASTER (Zhang …


Dna Barcoding Complements Citizen Science Identifications In An Arthropod Survey At Governors Island, New York, Malky Gestetner Jan 2026

Dna Barcoding Complements Citizen Science Identifications In An Arthropod Survey At Governors Island, New York, Malky Gestetner

Dissertations and Theses

Arthropods are declining worldwide, threatened by habitat loss, climate change, and growing urbanization. Efforts to monitor arthropod biodiversity are crucial for conservation policies and for maintaining the ecosystem services provided by these animals in urban environments. Surveys of arthropods have been attempted in many New York neighborhoods, but no formal assessment has been conducted on Governors Island, which harbors 72-acres of parkland within a short boat ride away from Manhattan. This is a deficiency which this study helps to address. Following student-led collection efforts within four Governors Island sites, DNA barcoding was employed to complement specimen identification based on morphology …


“Shaking The Ladder” Reveals How Analytic Choices Can Influence Associations In Nutrition Epidemiology: Beef Intake And Coronary Heart Disease As A Case Study, Colby J Vorland, Lauren E O'Connor, Beate Henschel, Cuiqiong Huo, James M Shikany, Carlos A Serrano, Robert Henschel, Stephanie L Dickinson, Keisuke Ejima, Aurelian Bidulescu, David B Allison, Andrew W Brown Jan 2026

“Shaking The Ladder” Reveals How Analytic Choices Can Influence Associations In Nutrition Epidemiology: Beef Intake And Coronary Heart Disease As A Case Study, Colby J Vorland, Lauren E O'Connor, Beate Henschel, Cuiqiong Huo, James M Shikany, Carlos A Serrano, Robert Henschel, Stephanie L Dickinson, Keisuke Ejima, Aurelian Bidulescu, David B Allison, Andrew W Brown

Children’s Nutrition Research Center Staff Publications

Nutrition epidemiological models involve many analytic decisions, such as defining exposures, selecting which covariates to include, or configuring variables in different ways. We explored the impact of analytical decisions on conclusions in nutrition epidemiology using self-reported beef intake and incident coronary heart disease as a case study. We used REasons for Geographic and Racial Differences in Stroke (REGARDS) data, and selected covariates and their configurations from published literature to recapitulate common models used to assess associations between meat intake and health outcomes. Three model sets were designed: sets one and two used continuous and quintile-defined beef intakes, respectively, each with …


Examining Widely Held Propositions On Human Dietary Protein Needs And Benefits: A Critical Review Of The Science That Shapes Both The Data And Our Understanding Of An Essential Macronutrient, Mitchell M Kanter, Sally Aaron, Steven N Austad, Andrew W Brown, Nicholas A Burd, Wayne W Campbell, Mark Cope, Teresa A Davis, John W Erdman, Miguel Freitas, Kristen Hicks-Roof, Samuel Klein, Wantanee Kriengsinyos, Dudley W Lamming, Donald K Layman, Heather J Leidy, Kevin C Maki, Richard D Mattes, Shalene Mcneill, Daniel R Moore, Stefan M Pasiakos, Stuart M Phillips, David Raubenheimer, Wendy Reinhardt, Nancy R Rodriguez, Stephen Simpson, Hans H Stein, Luc J C Van Loon, Connie M Weaver, David B Allison Jan 2026

Examining Widely Held Propositions On Human Dietary Protein Needs And Benefits: A Critical Review Of The Science That Shapes Both The Data And Our Understanding Of An Essential Macronutrient, Mitchell M Kanter, Sally Aaron, Steven N Austad, Andrew W Brown, Nicholas A Burd, Wayne W Campbell, Mark Cope, Teresa A Davis, John W Erdman, Miguel Freitas, Kristen Hicks-Roof, Samuel Klein, Wantanee Kriengsinyos, Dudley W Lamming, Donald K Layman, Heather J Leidy, Kevin C Maki, Richard D Mattes, Shalene Mcneill, Daniel R Moore, Stefan M Pasiakos, Stuart M Phillips, David Raubenheimer, Wendy Reinhardt, Nancy R Rodriguez, Stephen Simpson, Hans H Stein, Luc J C Van Loon, Connie M Weaver, David B Allison

Children’s Nutrition Research Center Staff Publications

The essentiality of protein in the human diet is unequivocal. Yet researchers, clinicians, and lay people often believe numerous propositions about dietary protein despite insufficient supporting or refuting data in some instances. To address this disconnect, and to "pressure-test" current beliefs about dietary protein, the Indiana University School of Public Health-Bloomington convened a workshop in February 2025 titled "Human Dietary Protein Needs and Benefits: A Critical Assessment of Postulated Propositions." More than 20 international experts discussed (1) methodologic issues affecting data acquisition and interpretation; (2) "optimal" dietary protein intakes and effects on muscle protein synthesis rates, muscle protein accretion, …