Biochemical Phenomena, Metabolism, and Nutrition Commons^™

Predictive Equation Derived From 6,497 Doubly Labelled Water Measurements Enables The Detection Of Erroneous Self-Reported Energy Intake, Rania Bajunaid, Chaoqun Niu, Catherine Hambly, Zongfang Liu, Yosuke Yamada, Heliodoro Aleman-Mateo, Liam J Anderson, Lenore Arab, Issad Baddou, Linda Bandini, Kweku Bedu-Addo, Ellen E Blaak, Carlijn V C Bouten, Soren Brage, Maciej S Buchowski, Nancy F Butte, Stefan G J A Camps, Regina Casper, Graeme L Close, Jamie A Cooper, Richard Cooper, Sai Krupa Das, Peter S W Davies, Prasangi Dabare, Lara R Dugas, Simon Eaton, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W Fudge, Melanie Gillingham, Annelies H Goris, Michael Gurven, Asmaa El Hamdouchi, Hinke H Haisma, Daniel Hoffman, Marije B Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M Joosen, Peter Katzmarzyk, Misaka Kimura, William E Kraus, Wantanee Kriengsinyos, Rebecca Kuriyan, Robert F Kushner, Estelle V Lambert, Pulani Lanerolle, Christel L Larsson, William R Leonard, Nader Lessan, Marie Löf, Corby K Martin, Eric Matsiko, Anine C Medin, James C Morehen, James P Morton, Aviva Must, Marian L Neuhouser, Theresa A Nicklas, Christine D Nyström, Robert M Ojiambo, Kirsi H Pietiläinen, Yannis P Pitsiladis, Jacob Plange-Rhule, Guy Plasqui, Ross L Prentice, Susan B Racette, David A Raichlen, Eric Ravussin, Leanne M Redman, John J Reilly, Rebecca Reynolds, Susan B Roberts, Dulani Samaranayakem, Luis B Sardinha, Analiza M Silva, Anders M Sjödin, Marina Stamatiou, Eric Stice, Samuel S Urlacher, Ludo M Van Etten, Edgar G A H Van Mil, George Wilson, Jack A Yanovski, Tsukasa Yoshida, Xueying Zhang, Alexia J Murphy-Alford, Srishti Sinha, Cornelia U Loechl, Amy H Luke, Herman Pontzer, Jennifer Rood, Hiroyuki Sagayama, Dale A Schoeller, Klaas R Westerterp, William W Wong, John R Speakman

Faculty, Staff and Students Publications

Nutritional epidemiology aims to link dietary exposures to chronic disease, but the instruments for evaluating dietary intake are inaccurate. One way to identify unreliable data and the sources of errors is to compare estimated intakes with the total energy expenditure (TEE). In this study, we used the International Atomic Energy Agency Doubly Labeled Water Database to derive a predictive equation for TEE using 6,497 measures of TEE in individuals aged 4 to 96 years. The resultant regression equation predicts expected TEE from easily acquired variables, such as body weight, age and sex, with 95% predictive limits that can be used …

Intercellular Mitochondrial Transfer Contributes To Microenvironmental Redirection Of Cancer Cell Fate, Julie Sofie Bjerring, Yara Khodour, Emilee Anne Peterson, Patrick Christian Sachs, Robert David Bruno

School of Medical Diagnostics & Translational Sciences Publications

The mammary microenvironment has been shown to suppress tumor progression by redirecting cancer cells to adopt a normal mammary epithelial progenitor fate in vivo. However, the mechanism(s) by which this alteration occurs has yet to be defined. Here, we test the hypothesis that mitochondrial transfer from normal mammary epithelial cells to breast cancer cells plays a role in this redirection process. We evaluate mitochondrial transfer in 2D and 3D organoids using our unique 3D bioprinting system to produce chimeric organoids containing normal and cancer cells. We demonstrate that breast cancer tumoroid growth is hindered following interaction with mammary epithelial cells …

Untargeted Metabolome Atlas For Sleep-Related Phenotypes In The Hispanic Community Health Study/Study Of Latinos, Ying Zhang, Brian W Spitzer, Yu Zhang, Danielle A Wallace, Bing Yu, Qibin Qi, Maria Argos, M Larissa Avilés-Santa, Eric Boerwinkle, Martha L Daviglus, Robert Kaplan, Jianwen Cai, Susan Redline, Tamar Sofer

Faculty, Staff and Student Publications

BACKGROUND: Sleep is essential to maintaining health and wellbeing of individuals, influencing a variety of outcomes from mental health to cardiometabolic disease. This study aims to assess the relationships between various sleep-related phenotypes and blood metabolites.

METHODS: Utilising data from the Hispanic Community Health Study/Study of Latinos, we performed association analyses between 40 sleep-related phenotypes, grouped in several domains (sleep disordered breathing (SDB), sleep duration, sleep timing, self-reported insomnia symptoms, excessive daytime sleepiness (EDS), and heart rate during sleep), and 768 metabolites measured via untargeted metabolomics profiling. Network analysis was employed to visualise and interpret the associations between sleep phenotypes …

Dance-Related Fractures Occur In The Upper And Lower Extremities At Similar Rates: An Analysis Of The 2004-2023 National Electronic Injury Surveillance System Database, Senah E. Stephens, Joshua F. Edwards, Lisa K. Cannada

Department of Medicine Faculty Publications

Introduction

In the United States, 21% of adolescents participate in dance. Dancers are susceptible to injuries, particularly of the lower extremity, due to extreme positioning, dynamic overload, and repetitive movements.

Objectives

(1) to report the prevalence and describe demographic characteristics of dance-related fractures and (2) to analyze variables associated with disposition status.

Methods

The National Electronic Injury Surveillance System (NEISS) database, published by the US Consumer Product Safety Commission, was used to investigate dance-related fractures diagnosed in a sample of 100 emergency departments over 20 years. Descriptive statistics and demographic variables were analyzed using chi square tests. Age was analyzed …

A Novel D-Peptide Modulates Dclk1 Gelsolin Interactions, Reducing Pdac Tumor Growth, Landon L. Moore, Dongfeng Qu, Parthasarathy Chandrekesan, Kamille Pitts, Randal May, Byron E. Anderson, Milton L. Brown, Courtney W. Houchen

Department of Medicine Faculty Publications

What drives inflammation-associated tumorigenesis and progression in pancreatic ductal adenocarcinoma (PDAC)? Doublecortin-like kinase 1 (DCLK1) is a central driver of inflammation-associated tumorigenesis, with elevated expression linked to worse clinical outcomes. Two isoforms of DCLK1 possess a unique extracellular domain (ECD). DCLK1 isoform 2 contains two microtubule-binding domains, while isoform 4, lacks the microtubule-binding domains but, plays a pivotal role in tumor progression. We identified novel D-peptides that selectively target this ECD, significantly suppressing PDAC cell proliferation in vitro and tumor growth in xenograft models without inducing cell death. In silico modeling and binding assays revealed DCLK1 isoform 4 interacts with …

Obesity Prediction From Structural Mri Using Conformal Deep Learning With Uncertainty Quantification, W. Farzana, A. G. A. Temtam, B. Humud-Arboleda, L. Ma, M. Bean, F. Gerard Moeller, K. M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Obesity arises from a neurobehavioral disorder in which the brain’s regulation of hunger and food intake is impaired, leading to an imbalance between energy consumption and expenditure. One key phenotype associated with obesity is body mass index (BMI). BMI is influenced by multiple causal pathways driven by behavioral, metabolic, and genetic factors. Traditional obesity prediction studies often rely on magnetic resonance imaging (MRI) voxel-based morphometry to correlate BMI with obesity-related clinical measurements and brain structure, predominantly gray matter volume (GMV). However, the altered brain regions are variable and widespread between studies, with some literature presenting contradictory results between BMI and …

Key Brain Region Identification In Obesity Prediction With Structural Mri And Probabilistic Uncertainty Aware Model, Walia Farzana, Megan A. Witherow, Ahmed Temtam, Liangsuo Ma, Melanie Bean, F. Gerry Moeller, K. M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Objectives/Goals: Predictive performance alone may not determine a model’s clinical utility. Neurobiological changes in obesity alter brain structures, but traditional voxel-based morphometry is limited to group-level analysis. We propose a probabilistic model with uncertainty heatmaps to improve interpretability and personalized prediction. Methods/Study Population: The data for this study are sourced from the Human Connectome Project (HCP), with approval from the Washington University in St. Louis Institutional Review Board. We preprocessed raw T1-weighted structural MRI scans from 525 patients using an automated pipeline. The dataset is divided into training (357 cases), calibration (63 cases), and testing (105 cases). Our probabilistic model …

Orthogonal And Multiplexable Genetic Perturbations With An Engineered Prime Editor And A Diverse Rna Array, Qichen Yuan, Hongzhi Zeng, Tyler C Daniel, Qingzhuo Liu, Yongjie Yang, Emmanuel C Osikpa, Qiaochu Yang, Advaith Peddi, Liliana M Abramson, Boyang Zhang, Yong Xu, Xue Gao

Faculty, Staff and Students Publications

Programmable and modular systems capable of orthogonal genomic and transcriptomic perturbations are crucial for biological research and treating human genetic diseases. Here, we present the minimal versatile genetic perturbation technology (mvGPT), a flexible toolkit designed for simultaneous and orthogonal gene editing, activation, and repression in human cells. The mvGPT combines an engineered compact prime editor (PE), a fusion activator MS2-p65-HSF1 (MPH), and a drive-and-process multiplex array that produces RNAs tailored to different types of genetic perturbation. mvGPT can precisely edit human genome via PE coupled with a prime editing guide RNA and a nicking guide RNA, activate endogenous gene expression …

Impact Of American Thyroid Association's Revised Cancer Management Guidelines On Thyroid Cancer Incidence Trends: A Retrospective Cohort Study, 2000-2020, Pierre Fwelo, Natalia I Heredia, Ruosha Li, Ayrton Bangolo, Vignesh K Nagesh, Simcha Weissman, Xianglin L Du

Faculty, Staff and Student Publications

Background: The past four decades have seen a steady increase in thyroid cancer in the United States (US). This study investigated the impact of the American Thyroid Association (ATA)'s revised cancer management guidelines on thyroid cancer incidence trends and how the trends varied by socioeconomic, histologic, geographic, and racial and ethnic characteristics from 2000 to 2020.

Methods: We used data from the Surveillance, Epidemiology, and End Results (SEER) database to identify thyroid cancer cases diagnosed among US patients between 2000 and 2020. We employed joinpoint regression software to fit, assess, and compare thyroid cancer incidence trends over time stratified by …

The Role Of The Triglyceride-Glucose Index As A Biomarker Of Cardio-Metabolic Syndromes, Verena Gounden, Sridevi Devaraj, Ishwarlal Jialal

Faculty, Staff and Students Publications

BACKGROUND: The Triglyceride-glucose (TyG) index represents a simple, cost-effective, and valid proxy for insulin resistance. This surrogate marker has also been proposed as a predictor of metabolic and cardiovascular disease (CVD). In this descriptive review, we aimed to assess the utility of the TyG index as a predictive biomarker of cardiometabolic diseases.

METHODS: A search was conducted in PubMed, and Web of Science to identify cross-sectional and more importantly prospective studies examining the use of the TyG index as a predictive biomarker. The following terms were utilized in addition to the TyG index: "insulin resistance", "metabolic syndrome", "diabetes"; "cardiovascular diseases". …

5-Fluorouracil Induced Oxidative Stress Is Variable Across Triple Negative Breast Cancer Cell Lines, Rachel L. Walker

Departmental Honors & Graduate Capstone Projects

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with treatment limited to chemotherapy. However, not all patient tumors respond to chemotherapy. The variable cytotoxic effects of chemotherapies may be due to how cancer cells regulate reactive oxygen species (ROS). In this study, we examined two mouse breast cancer cell lines: 4T1 and EO771, vary when treated with hydrogen peroxide (H2O2) and 5-Fluorouracil (5FU), known ROS-inducing substances. In 4T1 cells H2O2 increased oxidized DNA but caused minimal cell death. While in EO771 cells that same amount of H2O2 caused complete apoptosis. Cell number, ROS, and cell death showed …

Ai-Enabled Wearable Cameras For Assisting Dietary Assessment In African Populations, Frank P-W Lo, Jianing Qiu, Modou L Jobarteh, Yingnan Sun, Zeyu Wang, Shuo Jiang, Tom Baranowski, Alex K Anderson, Megan A Mccrory, Edward Sazonov, Wenyan Jia, Mingui Sun, Matilda Steiner-Asiedu, Gary Frost, Benny Lo

Children’s Nutrition Research Center Staff Publications

We have developed a population-level method for dietary assessment using low-cost wearable cameras. Our approach, EgoDiet, employs an egocentric vision-based pipeline to learn portion sizes, addressing the shortcomings of traditional self-reported dietary methods. To evaluate the functionality of this method, field studies were conducted in London (Study A) and Ghana (Study B) among populations of Ghanaian and Kenyan origin. In Study A, EgoDiet's estimations were contrasted with dietitians' assessments, revealing a performance with a Mean Absolute Percentage Error (MAPE) of 31.9% for portion size estimation, compared to 40.1% for estimates made by dietitians. We further evaluated our approach in Study …

Adiposity Throughout Adulthood And Risk Of Young-Onset Breast Cancer Tumor Subtypes In The Young Women's Health History Study, Lydia Marcus Post, Dorothy R. Pathak, Ann S. Hamilton, Kelly A. Hirko, Richard T. Houang, Emily H. Guseman, Dan Sanfelippo, Nicole Bohme Carnegie, L. Karl Olson, Hallgeir Rui, Ann G. Schwartz, Ellen M. Velie

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

BACKGROUND: The role of adult adiposity in young-onset breast cancer (YOBC) subtype risk is not well understood.

METHODS: In this population-based case (n = 1812)-control (n = 1,381) study of invasive YOBC (ages <50 >years), cases were identified from the Los Angeles County and Metropolitan Detroit Surveillance, Epidemiology, and End Results registries, 2010 to 2015. Area-based, frequency-matched controls were sampled from the 2010 Census. General adiposity [body mass index (BMI)] and central adiposity (waist circumference and waist-to-height ratio) across adulthood and covariates were collected from in-person interviews and measurements. ORs and 95% confidence intervals (CI) for adiposity and YOBC tumor subtypes …

Urinary Metal Levels, Cognitive Test Performance, And Dementia In The Multi-Ethnic Study Of Atherosclerosis, Arce Domingo-Relloso, Katlyn E Mcgraw, Susan R Heckbert, Jose A Luchsinger, Kathrin Schilling, Ronald A Glabonjat, Irene Martinez-Morata, Melanie Mayer, Yongmei Liu, Alexis C Wood, Jeff Goldsmith, Kathleen M Hayden, Mohamad Habes, Ilya M Nasrallah, R Nick Bryan, Tanweer Rashid, Wendy S Post, Jerome I Rotter, Priya Palta, Linda Valeri, Timothy M Hughes, Ana Navas-Acien

Faculty, Staff and Students Publications

IMPORTANCE: Metals are established neurotoxicants, but evidence of their association with cognitive performance at low chronic exposure levels is limited.

OBJECTIVE: To investigate the association of urinary metal levels, individually and as a mixture, with cognitive tests and dementia diagnosis, including effect modification by apolipoprotein ε4 allele (APOE4).

DESIGN, SETTING, AND PARTICIPANTS: The multicenter prospective cohort Multi-Ethnic Study of Atherosclerosis (MESA) was started from July 2000 to August 2002, with follow-up through 2018. A total of 6303 MESA participants were included. Data analysis was performed from October 12, 2023, to June 13, 2024.

EXPOSURE: Urine samples were collected at baseline …

Targeting The Glutamine-Arginine-Proline Metabolism Axis In Cancer, Di Wang, Jiang-Jie Duan, Yu-Feng Guo, Jun-Jie Chen, Tian-Qing Chen, Jun Wang, Shi-Cang Yu

Faculty, Staff and Student Publications

Metabolic abnormalities are an important feature of tumours. The glutamine-arginine-proline axis is an important node of cancer metabolism and plays a major role in amino acid metabolism. This axis also acts as a scaffold for the synthesis of other nonessential amino acids and essential metabolites. In this paper, we briefly review (1) the glutamine addiction exhibited by tumour cells with accelerated glutamine transport and metabolism; (2) the methods regulating extracellular glutamine entry, intracellular glutamine synthesis and the fate of intracellular glutamine; (3) the glutamine, proline and arginine metabolic pathways and their interaction; and (4) the research progress in tumour therapy …

Relative Uptake Of Tomato Carotenoids By In Vitro Intestinal And Prostate Cancer Cells, Nancy E Moran, Brianna Alexander, Shivi Garg, Nathan Marchant, Noor A Hason

Children’s Nutrition Research Center Staff Publications

Background: Consumption of tomatoes and tomato carotenoids is associated with a reduced risk of prostate cancer. Prostate tissue accumulates tomato carotenoids, including lycopene, β-carotene, and phytoene. Phytoene accumulation is relatively greater in the prostate than that of lycopene, but the metabolic determinants of tissue carotenoid profiles are poorly understood.

Objectives: The purpose of this study was to determine if differences in stability, cellular uptake, and clearance of phytoene compared with lycopene or β-carotene by prostate and intestinal cells may explain differences in observed tissue carotenoid profiles.

Methods: Gene and protein expression for carotenoid metabolism in prostate cell lines were analyzed …

Random C-Peptide And Islet Antibodies At Onset Predict Β Cell Function Trajectory And Insulin Dependence In Pediatric Diabetes, Mustafa Tosur, Saima Deen, Xiaofan Huang, Serife Uysal, Marcela Astudillo, Richard A Oram, Maria J Redondo, Farook Jahoor, Ashok Balasubramanyam

Children’s Nutrition Research Center Staff Publications

Objective: Identification of prognostic biomarkers in pediatric diabetes is important for precision medicine. We assessed whether C-peptide and islet autoantibodies are useful to predict the natural history of children with new-onset diabetes.

Methods: We prospectively studied 72 children with new-onset diabetes (median follow-up: 8 months) by applying the Aβ classification system ("A+": islet autoantibody positive, "β+": random serum C-peptide ≥1.3 ng/mL at diagnosis). Beta-cell function was assessed longitudinally with 2 hours postprandial/stimulated urinary C-peptide-to-creatinine ratio (UCPCR) 3-12 weeks (V1) and 6 to 12 months after diagnosis (V2). We obtained a type 1 diabetes genetic risk score for each participant, and …

Are Prediction Models Moving Closer To Clinical Application In The Diagnosis Of Type Of Diabetes In Youth?, Fida Bacha

Children’s Nutrition Research Center Staff Publications

No abstract provided.

Chronic Β3-Ar Stimulation Activates Distinct Thermogenic Mechanisms In Brown And White Adipose Tissue And Improves Systemic Metabolism In Aged Mice, Duraipandy Natarajan, Bhuvana Plakkot, Kritika Tiwari, Shoba Ekambaram, Weidong Wang, Michael Rudolph, Mahmoud A Mohammad, Shaji K Chacko, Madhan Subramanian, Stefano Tarantini, Andriy Yabluchanskiy, Zoltan Ungvari, Anna Csiszar, Priya Balasubramanian

Faculty, Staff and Students Publications

Adipose thermogenesis has been actively investigated as a therapeutic target for improving metabolic dysfunction in obesity. However, its applicability to middle-aged and older populations, which bear the highest obesity prevalence in the United States (approximately 40%), remains uncertain due to age-related decline in thermogenic responses. In this study, we investigated the effects of chronic thermogenic stimulation using the β3-adrenergic (AR) agonist CL316,243 (CL) on systemic metabolism and adipose function in aged (18-month-old) C57BL/6JN mice. Sustained β3-AR treatment resulted in reduced fat mass, increased energy expenditure, increased fatty acid oxidation and mitochondrial activity in adipose depots, improved glucose homeostasis, and a …

Associations Between Metabolic Disorders And Sjögren’S Disease, Chihiro Iwaya, Junichi Iwata

Faculty, Staff and Student Publications

Sjögren’s disease (SjD) is a systemic autoimmune disorder characterized by dry eyes and mouth caused by chronic inflammation and is often accompanied by various extra-glandular manifestations, including fatigue and diffuse pain. Although the pathogenesis of the disease remains elusive, several factors (e.g. environmental, genetic and hormonal factors, abnormal metabolic status) are associated with this condition. Accumulating evidence suggests a potential role of cholesterol metabolism in immune and non-immune modulation in various diseases. In this review, we summarize the current findings on the associations between cholesterol metabolism and SjD.