Nutrition Commons^™

Unravelling The Molecular Mechanisms Causal To Type 2 Diabetes Across Global Populations And Disease-Relevant Tissues, Ozvan Bocher, Ana Luiza Arruda, Satoshi Yoshiji, Chi Zhao, Alicia Huerta-Chagoya, Chen-Yang Su, Xianyong Yin, Davis Cammann, Henry J Taylor, Jingchun Chen, Ken Suzuki, Ravi Mandla, Ta-Yu Yang, Fumihiko Matsuda, Josep M Mercader, Jason Flannick, James B Meigs, Alexis C Wood, Marijana Vujkovic, Benjamin F Voight, Cassandra N Spracklen, Jerome I Rotter, Andrew P Morris, Eleftheria Zeggini

Children’s Nutrition Research Center Staff Publications

Type 2 diabetes (T2D) is a prevalent disease arising from complex molecular mechanisms. Here we leverage T2D genetic associations to identify causal molecular mechanisms in an ancestry-aware and tissue-aware manner. Using two-sample Mendelian randomization corroborated by colocalization across four global ancestries, we analyse 20,307 gene and 1,630 protein expression levels using blood-derived cis-quantitative trait loci (QTLs). We detect causal effects of genetically predicted levels of 335 genes and 46 proteins on T2D risk, with 16.4% and 50% replication in independent cohorts, respectively. Using gene expression cis-QTLs derived from seven T2D-relevant tissues, we identify causal links between the expression of 676 …

Uncovering Predictors Of Bipolar Ii Conversion To Bipolar I: A Machine Learning Analysis Of National Health Records In Taiwan, Chih-Wei Hsu, Yang-Chieh Brian Chen, Liang-Jen Wang, Kuo-Chuan Hung, Mu-Hong Chen, Eduard Vieta, Chien-Yuan Chen, Chih-Sung Liang, Andre F Carvalho

Children’s Nutrition Research Center Staff Publications

Background: Bipolar II disorder (BD-II) can progress to bipolar I disorder (BD-I), carrying profound psychosocial consequences. However, limited research has investigated the transition from BD-II to BD-I. Our study uses machine learning to predict the conversion using real-world data.

Methods: We conducted a retrospective cohort study using the Taiwan National Health Insurance Research Database (2000-2013) to identify adults diagnosed with BD-II. A predictive model for BD-I conversion was developed using extreme gradient boosting (XGBoost), incorporating demographic factors, healthcare utilization, comorbidities, and psychotropic medication use. The dataset was randomly divided into development (80 %) and test (20 %) sets. Model performance …

Catatonia And Elevated Mortality: A Population-Wide Cohort Study With Healthy, Sibling, And Schizophrenia Spectrum Controls, Chih-Wei Hsu, Yang-Chieh Brian Chen, Marco Solmi, Chih-Sung Liang, Mu-Hong Chen, Yao-Hsu Yang, Liang-Jen Wang, Edward Chia-Cheng Lai

Children’s Nutrition Research Center Staff Publications

Aim: To determine whether catatonia is associated with increased long-term all-cause and cause-specific mortality.

Methods: Using Taiwan's National Health Insurance Database (2000-2022), we assembled a population-based cohort of all adults (≥18 years) with catatonia and matched each to four controls without catatonia on sex and birthdate. Mortality was compared between (1) individuals with catatonia and their unaffected siblings and (2) individuals with schizophrenia spectrum disorders with catatonia and those with schizophrenia spectrum disorders without catatonia. The primary outcome was all-cause mortality; secondary outcomes were natural- and unnatural-cause deaths. Adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated with …

Pair-Feeding Study Designs Can Create Biases And Inflate Type I Error Rates: A Simulation Study, Wasiuddin Najam, Daniel E Kpormegbey, Deependra K Thapa, Bret Rust, Lilian Golzarri-Arroyo, Lance H Baumgard, Louis Wai-Tong Fan, Joseph G Ibrahim, Edith J Mayorga, David B Allison

Children’s Nutrition Research Center Staff Publications

Objective: Pair-feeding is a study design element where one group's food intake is provided to another group to assess whether a treatment effect is independent of food intake. Investigators often assume equivalent food intake across experimental conditions and exclude it from the statistical analysis. However, the impact of this practice on type I error (T1Er) rates has not been quantified.

Methods: We conducted a Monte Carlo simulation in which animals were assigned baseline weights and food intakes, then randomized to non-pair-fed or pair-fed groups. Daily food intake for both groups was initially drawn from the baseline food intake distribution. For …

Life-Extending Interventions Do Not Necessarily Result In Compression Of Morbidity: A Case Example Offering A Robust Statistical Approach, Deependra K Thapa, Wasiuddin Najam, Erik S Parker, Xi Rita Wang, Daniel L Smith, Ufuk Beyaztas, James F Nelson, Steven N Austad, Gary A Churchill, David B Allison

Children’s Nutrition Research Center Staff Publications

Despite extensive research on life-extending interventions, rigorous statistical techniques to determine their impact on compression of morbidity (CoM) are rarely used. We present a case example of an analytical method for examining the effect of life-extending dietary interventions on CoM by comparing the rates of decline in vitality and survival toward the end of life. Using data from previous experimental studies in mice, we calculated the average rate of vitality decline by fitting exponential decay models to individual vitality trajectories and compared this rate with the rate of survival decline estimated from Cox proportional hazards model. The results showed that, …

N-Palmitoyl Glutamine Is A Candidate Mediator Of Cardiorespiratory Fitness, Jeremy M Robbins, Mark Benson, Anthony R P Verkerke, Gaurav Tiwari, Shuliang Deng, Prashant Rao, Usman A Tahir, Julian Avila-Pacheco, Xu Shi, Yuntian Guan, Foje-Geh Tendoh, Jacob L Barber, Patricia E Miller, Andrew S Perry, Michael E Hall, Alexis C Wood, Kent D Taylor, Wendy S Post, Stephen S Rich, Matthew Nayor, James G Wilson, Gregory D Lewis, Ravi V Shah, Jerome I Rotter, Scott A Summers, Laura M Raffield, Shingo Kajimura, Claude Bouchard, Clary B Clish, Mark A Sarzynski, Robert E Gerszten

Children’s Nutrition Research Center Staff Publications

Background: Cardiorespiratory fitness is an integrative measure of cardiometabolic health and predictor of survival, yet little is known about its molecular underpinnings. Small molecule metabolites and lipids are increasingly recognized as exercise-stimulated signaling molecules and candidate molecular transducers of cardiorespiratory fitness.

Methods: We performed nontargeted liquid chromatography mass spectrometry-based plasma metabolomics in 654 participants (mean age, 35 years; 55% women) from the HERITAGE Family Study (Health, Risk Factors, Exercise Training, and Genetics) who had cardiorespiratory fitness (maximal oxygen uptake [VO2max]) measured by cardiopulmonary exercise testing and underwent 20 weeks of supervised endurance training. Metabolite-VO2max relationships were assessed using linear regression …

Association Between Ultraprocessed Food Consumption And Cardiovascular Disease Risk: Mesa (Multiethnic Study Of Atherosclerosis), Amier Haidar, Rishi Rikhi, Karol E Watson, Alexis C Wood, Michael D Shapiro

Children’s Nutrition Research Center Staff Publications

Background: Ultraprocessed foods (UPFs) have been linked to adverse cardiometabolic outcomes and increased atherosclerotic cardiovascular disease (CVD) (ASCVD) risk. However, prior research has largely focused on homogenous populations, lacking racial and ethnic diversity.

Objectives: The objectives are to examine the longitudinal relationship between UPF consumption and ASCVD risk and to investigate whether these associations differ by race/ethnicity, sex, or socioeconomic status.

Methods: The MESA (Multiethnic Study of Atherosclerosis) is a prospective cohort study of 6,814 U.S. adults aged 45 to 84 years, without clinically apparent CVD. UPF consumption was classified according to the Nova classification system. Multivariable cox proportional hazards …

Conclusions Are Not Supported By The Published Statistical Analysis Comment On López-Toledo Et Al Flaxseed Improves Glucose And Lipid Metabolism In Mexican Subjects With Type 2 Diabetes: A Parallel Randomized Clinical Trial, Robert W Spitz, Deependra K Thapa, Thirupathi Reddy Mokalla, Wasiuddin Najam, Andrew W Brown, David B Allison

Children’s Nutrition Research Center Staff Publications

López-Toledo et al [...].

A Narrative Review Of The High-Carbohydrate Fueling Revolution (≥100 G/H) In The Professional Peloton, Patrick B. Wilson

Exercise Science Faculty Publications

High-carbohydrate fueling in cycling (defined as ≥ 100 g/h for this paper) has received significant media attention in recent years. Whether this practice improves performance, however, remains an unresolved issue in the scientific literature. The purpose of this narrative review is to provide an up-to-date analysis of the practice of high-carbohydrate fueling, with a specific focus on potential performance implications in professional cycling. Topics covered include historical carbohydrate intake guidelines, research directly comparing high-carbohydrate fueling with traditional fueling guidelines, theorized benefits of high-carbohydrate fueling specific to cycling, potential risks associated with high-carbohydrate fueling, and personalizing carbohydrate intakes. Among a small …

“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

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, …

Cross-Sectional And Longitudinal Relationships Between Abdominal Fat Depots And Cardiometabolic Risk In A Sample Of Mexican Adolescents, Luis Ortíz-Hernández, Erica G Soltero, Miguel Camejo, Jesús Valdes

Children’s Nutrition Research Center Staff Publications

Background: The relationship between abdominal fat depots and cardiometabolic risk among youth is inconclusive due to the cross-sectional nature of existing studies and limitations in assessment methods. In this study, we examined cross-sectional and longitudinal associations of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) with cardiometabolic risk indicators among Mexican adolescents.

Methods: Participants (n = 169 at baseline and 134 at follow-up) were assessed for diastolic or systolic blood pressure (DBP or SBP), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides, glucose, and insulin. VAT and SAT were measured using magnetic resonance imaging. Measures …

A Pragmatic Guide To Data Integration For Pediatric Researchers: The Nuts And Bolts Of Mixed Methods Analysis, Kathleen A Knafl, Janet A Deatrick, Veronica M Swallow, Yelena P Wu, Debbe Thompson

Children’s Nutrition Research Center Staff Publications

Objective: To provide pragmatic guidance on data analysis, integration, and reporting guidance for investigators new to mixed methods research.

Methods: Three core mixed methods designs (convergent, explanatory sequential, and exploratory sequential) are described. Key decision points related to data integration-specifying intent, data selection, data preparation, integration strategies, use of analysis software, reporting-are explained, including comparison of decision points across the different mixed methods designs.

Results: Recommendations for addressing key decisions during analysis are provided and supported with published examples from mixed methods studies focused on pediatric populations.

Conclusions: Integration of qualitative and quantitative data is the defining characteristic of mixed …

Sustainable Community-Wide Model To Enhance Cancer Data Usage And Utility, Emily S Boja, Mousumi Ghosh, Ying Huang, Tung-Shing Mamie Lih, Rawan Shraim, Gregory Wheeler, Diana Thomas, Rakesh Khanna, Stephanie Sandor, Jinghui Zhang, Sapna Oberoi, Nicolas J Llosa, Aditya Suru, Fernanda Silva Michels, Eric Durbin, Anna Fernandez, Lucy Han, James Galbraith, Yin Lu, Brian Furner, James H Tanis, Michael Watkins, David Higgins, Gavriel Matt, Xin Zhou, Yang Li, Marcin Cieslik, Jamie Estill, Michael Sierk, Yanling Sun, Weiping Ma, Joseph Flores-Toro, Freddie Pruitt, Subhashini Jagu, Elmer A Fernández, Daniela Orschanski, Stephanie J Spielman, Jaclyn Taroni, Trinh Nguyen, Brian Capaldo, Erin Beck, Tanja Davidsen, Johanna Goderre Jones, Minghong Ward, Anne Sturcke, Jennifer M Torres Del Valle, Sean Hanlon, Danielle Daee, Brandon Wright, Nathaniel Boyd, Heather Basehore, Liang Liu, Ying Hu, Daoud Meerzaman, Huiqing Li, Ying Wu, Gregory H Reaman, Erin Rudzinski, Jack F Shern, Brigitte Widemann, Warren Kibbe, Jaime Guidry Auvil

Children’s Nutrition Research Center Staff Publications

Despite vast investments in data collection, generation, and sharing from childhood cancer studies, for example, Gabriella Miller Kids First Research Program, Childhood Cancer Data Initiative, and other efforts, secondary use of data remains a challenge especially for rare diseases. The National Cancer Institute (NCI) Office of Data Sharing (ODS) aimed to promote FAIR (Findable, Accessible, Interoperable, Reusable) data sharing practices to enhance data utility, accelerate discovery, and foster interdisciplinary collaboration. NCI ODS launched its inaugural Data Jamboree focusing on childhood cancer alongside its third Annual Symposium in September 2025. Over 120 participants with diverse backgrounds coalesced into 23 multidisciplinary teams …

The Treatment Of Obesity In The Context Of The Obesity Paradox In Patients With Heart Failure: A Narrative Review, Pamela L. Alebna, Sarah Martey, Anurag Mehta, Carl J. Lavie, Salvatore Carbone

EVMS School of Health Professions Faculty Publications

Purpose of review

While excess adiposity is a known risk factor for incident heart failure ( HF), once the condition is established, observational data suggest that increased body mass index (BMI) may confer a survival advantage. This paradox has emphasized the underlying roles of cardiorespiratory fitness (CRF), and body composition, particularly lean mass (LM), in influencing clinical outcomes.

Recent findings

In this review, we explore the multifaceted nature of the obesity paradox in HF, with a focus on emerging anti-obesity incretin-mimetic therapies, such as glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and dual GLP-1/glucose-dependent insulinotropic polypeptide (GIP) receptor agonists. These agents …

Vitamin D Status During Pregnancy Modulates The Effect Of Pre-Pregnancy Obesity On Gestational Diabetes Mellitus Risk: A Birth Cohort Study, Ali H. Ziyab, Abdullah Al-Taiar, Reem Al-Sabah, Majeda S. Hammoud, Saeed Akhtar

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Objective:

To determine whether gestational vitamin D status modulates the effect of pre-pregnancy obesity on gestational diabetes mellitus (GDM) risk while stratifying by maternal age.

Design:

Birth cohort.

Setting:

A major maternity hospital in Kuwait.

Participants:

Pregnant women in their second/third trimester of gestation were enrolled. Pre-pregnancy body mass index (BMI, kg/m²) was categorized as under/normal weight (< 25.0), overweight (25.0 to < 30.0), and obesity (≥30.0). Gestational 25-hydroxyvitamin D concentrations were categorized as deficiency (< 50 nmol/L) or insufficiency/sufficiency (≥50 nmol/L). GDM status was ascertained according to international guidelines. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated using logistic regression.

Results:

Data from 957 pregnant women were analyzed, with GDM affecting 166 (17.4%) pregnancies. Pre-pregnancy obesity and gestational vitamin D deficiency was ascertained in 275 (28.7%) and 533 (55.7%) pregnant women, respectively. The association between pre-pregnancy obesity and GDM risk differed according …

Limosilactobacillus Reuteri Alleviates Proinflammatory T-Cell-Mediated Liver Injury And Transcriptomic Changes In Immunocompromised Mice, Ana Fadhel Alvarez, Zheng Yin, Beanna Okeugo, Alexander Banerjee, Meng Luo, Christopher M Taylor, Salomea Giorgberidze, Vaishali Harne, Rambabu Majji, Melissa N Munroe, Ji Ho Suh, Stephen T C Wong, Kang Ho Kim, Hari Krishna Yalamanchili, Suhair Al Salihi, Jon Marc Rhoads, Yuying Liu

Children’s Nutrition Research Center Staff Publications

Background: A deficiency of immunosuppressive regulatory T cells, as seen in scurfy (SF) mice or in IPEX syndrome in humans, can lead to multiorgan inflammation. Oral administration of the probiotic Limosilactobacillus reuteri Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM) 17938 prolongs survival and reduces Th1- and Th2-associated inflammation in SF mice. It remains unclear how DSM 17938-educated SF-CD4+ T cells modulate T-cell-liver communication.

Methods: To characterize CD4+ T cells from SF mice orally administered DSM 17938 (Prob-SF-CD4+ T cells) and to compare them with CD4+ T cells from SF mice (SF-CD4+ T cells), cells isolated from SF spleens were …

Insulinemic And Inflammatory Dietary Patterns And Colorectal Cancer Risk: A Dietary Data Harmonization Study Of One Million Participants In The Consortium Of Metabolomics Studies (Comets), Ni Shi, Rachel Hoobler, Rhea Harewood, Amanda E Toland, Demetrius Albanes, Emmanouil Bouras, Marc J Gunter, Linda M Liao, Steven C Moore, Fulvio Ricceri, Jerome I Rotter, Rashmi Sinha, Rachael Stolzenberg-Solomon, Anne Tjønneland, Alexis C Wood, Danxia Yu, Mary C Playdon, Fred K Tabung

Children’s Nutrition Research Center Staff Publications

Background: Inflammatory and insulinemic dietary patterns have been associated with colorectal cancer (CRC) risk, but generalizability across diverse populations with heterogeneous food supplies and dietary behaviors has not been established.

Objectives: We harmonized disparate dietary and covariate data on a large scale to compute the reverse Empirical Dietary Index for Hyperinsulinemia (rEDIH), reverse Empirical Dietary Inflammatory Pattern (rEDIP), and Healthy Eating Index (HEI)-2015 scores, and tested their associations with CRC risk.

Methods: We leveraged data among 501,892 women and 407,390 men from 6 cohorts across the United States (NIH-AARP, Multi-Ethnic Study of Atherosclerosis, Prostate, Lung, Colorectal, and Ovarian, SCCS) and …

Polyfluoroalkyl Substances And Altered Glucose Homeostasis In Adolescents Following Bariatric Surgery, Elizabeth Costello, Brittney O Baumert, Zhenjiang Li, Vishal Midya, Shudi Pan, Justin R Ryder, Thomas H Inge, Todd M Jenkins, Stephanie Sisley, Stavra A Xanthakos, Anita Courcoulas, Douglas I Walker, Nikos Stratakis, Damaskini Valvi, Scott M Bartell, Angela L Slitt, Rohit Kohli, Sarah Rock, Michele A La Merrill, Sandrah P Eckel, Max T Aung, Rob Mcconnell, David V Conti, Lida Chatzi

Children’s Nutrition Research Center Staff Publications

Objectives: Bariatric surgery is an effective treatment for severe obesity and associated metabolic comorbidities. Exposure to polyfluoroalkyl substance (PFAS) before bariatric surgery may attenuate improvements in glucose metabolism and explain some of the heterogeneity in post-surgery outcomes.

Design: This is an observational cohort study.

Methods: Adolescents (n = 186) enrolled in the Teen-Longitudinal Assessment of Bariatric Surgery study were included. Eight-PFAS congeners were measured in plasma before surgery. Linear and logistic regressions were used to examine cross-sectional associations between log2-transformed PFAS (ng/mL) and fasting glucose, insulin, hemoglobin A1c (HbA1c), and homeostatic model assessment for insulin resistance (HOMA-IR). Linear mixed …

Spinach (Spinacia Oleracea L) Flavonoids Are Hydrolyzed During Digestion And Their Bioaccessibility Is Under Stronger Genetic Control Than Raw Material Content, Michael P Dzakovich, Alvin L Tak, Elaine A Le, Rachel P Dang, Benjamin W Redan, Geoffrey A Dubrow

Children’s Nutrition Research Center Staff Publications

Spinach (

The Triangular Interaction Between Dietary Polyphenols, Gut Microbiota, And Metabolic Syndrome, Emily Bayliss

Senior Honors Theses

Type 2 diabetes mellitus (T2DM) is a growing global health concern characterized by peripheral insulin resistance as well as impaired insulin secretion from pancreatic β-cells. Emerging evidence suggests that the gut microbiome, specifically gut dysbiosis, an imbalance in the gut microbiome, is a critical modulator of the pathophysiology of T2DM. Dietary polyphenols, a diverse group of bioactive compounds that are abundant in plant-based foods, have recently gained attention for their potential to attenuate metabolic disorders through their antioxidant and anti-inflammatory properties as well as through modulating the composition and activity of gut microbes, thereby attenuating dysbiosis. However, the diabetic state …

Sleep-Disordered Breathing Subtypes And Future Diet Quality In The Multi-Ethnic Study Of Atherosclerosis, Kaitlin S Potts, Cecilia Castro-Diehl, Tianyi Huang, Alexis C Wood, Jerome I Rotter, Stephen S Rich, Tamar Sofer, Susan Redline, Heming Wang

Children’s Nutrition Research Center Staff Publications

Objectives: Sleep-disordered breathing (SDB) and diet quality impact cardiometabolic disease, but few studies have examined if SDB influences diet quality. This study estimated the association between SDB subtypes (with and without sleepiness) and future diet quality in the Multi-Ethnic Study of Atherosclerosis.

Methods: Probable SDB was characterized by self-reported physician-diagnosed sleep apnea (PDSA) or habitual snoring and subtyped by presence or absence of sleepiness. A food frequency questionnaire measured diet 1.6 years before, and 7.8 years after SDB assessment. Diet quality was measured with the Alternate Healthy Eating Index-2010 (AHEI). Mean differences in AHEI at follow-up by SDB subtypes were …

Predicting Five-Year Comorbid Bipolar Disorder After Attention-Deficit/Hyperactivity Disorder Diagnosis: A Population-Based Machine Learning Approach, Yen-Shan Yang, Chih-Wei Hsu, Liang-Jen Wang, Kuo-Chuan Hung, Yang-Chieh Brian Chen, Chih-Sung Liang, Mu-Hong Chen

Children’s Nutrition Research Center Staff Publications

Background

Early detection and accurate prediction of bipolar disorders (BDs) comorbidity in individuals with attention-deficit/hyperactivity disorder (ADHD) are clinically critical. This study used machine-learning methods to identify features predictive of subsequent BD among patients initially diagnosed with ADHD.

Methods

We analyzed claims from the Taiwan National Health Insurance Research Database (2000–2013) and included patients aged ≥ 12 years with at least two diagnoses of ADHD. Predictor features included demographics (sex, age at ADHD onset), healthcare utilization (psychiatric outpatient visit counts), comorbidities (International Classification of Diseases–coded diagnoses), psychiatric medications (Anatomical Therapeutic Chemical–coded prescriptions), and family psychiatric history. All features were extracted …

A Class Of Benzofuranoindoline-Bearing Heptacyclic Fungal Ripps With Anticancer Activities, Qiuyue Nie, Fanglong Zhao, Xuerong Yu, Mithun C Madhusudhanan, Caleb Chang, Siting Li, Sandipan Roy Chowdhury, Bryce Kille, Andy Xu, Rory Sharkey, Chunxiao Sun, Hongzhi Zeng, Shuai Liu, Dishu Zhou, Xin Yu, Kevin Yang, Sandra A C Figueiredo, Maria Zotova, Zichen Hu, Alan Y Du, Dongyin Guan, Rui Tang, Todd Treangen, Jin Wang, Pedro N Leão, Yang Gao, Junjie Chen, Peng Liu, Hans Renata, Xue Gao

Children’s Nutrition Research Center Staff Publications

Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a promising source of new pharmaceuticals, yet the therapeutic potential of fungal RiPPs remains largely underexplored. Here, we report asperigimycins as a distinct class of fungal RiPPs, featuring a unique heptacyclic scaffold consisting of a benzofuranoindoline core and three additional macrocycles, primarily assembled by six distinct fungi-specific DUF3328 oxidases. Inspired by the enhancement of anticancer activity through the N-terminal pyroglutamate in naturally occurring asperigimycins C and D, we chemically modify the inactive asperigimycin B with a series of lipid substitutions at its N-terminus. A derivative with a C-11 linear fatty …

Mortality Among Transgender Persons: A Taiwan Matched-Population And Sibling-Comparison Cohort Study, Chih-Wei Hsu, Yang-Chieh Brian Chen, Liang-Jen Wang, Mu-Hong Chen, Yao-Hsu Yang, Chih-Sung Liang, Po-Yen Chen, Edward Chia-Cheng Lai

Children’s Nutrition Research Center Staff Publications

Background: Transgender persons have been reported to experience excess mortality, but evidence is dominated by Western cohorts and seldom addresses familial confounding.

Methods: We conducted a nationwide, retrospective cohort study using two prespecified comparison designs: matched population controls (1:4, matched on legal sex and birth date) and within-family cisgender sibling comparisons. Transgender persons were identified by ≥2 psychiatrist-recorded gender identity disorder diagnoses during 2001-2021; cohort entry required age ≥6 years. Participants were followed until death or December 31, 2022. We compared all-cause, external-cause (suicide and accidents), and internal-cause mortality using Cox regression adjusted for sociodemographics and medical comorbidity.

Findings: Among …

Concerns Regarding The Standard Deviation Of Individual Responses For Assessing Treatment Response Heterogeneity, Aaron R Caldwell, David B Allison, Andrew W Brown, Gary L Gadbury, Thirupathi Reddy Mokalla, R Drew Sayer, Andrew D Vigotsky

Children’s Nutrition Research Center Staff Publications

The estimation of treatment response heterogeneity (TRH) is increasingly important as medicine moves toward personalized approaches. While various statistical methods have been proposed to quantify TRH in parallel-group trials, the standard deviation of individual responses (SDIR) has gained prominence within physiological research. This method is intended to quantify individual response variation by comparing standard deviations of change scores between intervention and control groups. We acknowledge that SDIR represents an improvement over many other flawed approaches that often involve responder counting. However, SDIR has critical limitations: 1) it cannot overcome the fundamental problem of causal inference because the correlation between potential …

Risk Score Roulette: A Cautionary Tale Of Polygenic Risk Score Reliability, Diane Xue, Elizabeth E Blue, Alexis C Wood, Jerome I Rotter, Alison E Fohner

Children’s Nutrition Research Center Staff Publications

Genetic risk prediction for Alzheimer's disease (AD) has high potential impact, yet few studies have assessed the reliability of various polygenic risk score (PRS) methods at the individual level. Here, we evaluated the reliability of AD PRS estimates among 6338 participants from the Multi-Ethnic Study of Atherosclerosis. We compared four PRS models that have been previously associated with dementia risk. Despite similar population-level performance metrics, inter-model reliability of individual-level risk assessment was low, even among individuals classified in the top and bottom deciles. These findings raise serious concerns about the downstream application of PRS for guiding interventions for AD.

Scrotal Temperature Change During Running In Naked Humans, Yasuho Takii, Makoto Fukuda, Kazuyuki Kanosue, Tamae Yoda

Children’s Nutrition Research Center Staff Publications

Male reproductive organs are functionally affected by high body temperature. This study aimed to clarify the thermoregulation mechanisms of the human scrotum during running, and experiments were conducted to investigate temperature changes in the whole body and the scrotum. Eleven male long-distance runners performed treadmill running at 60%[Formula: see text] for 60 min in an indoor environment at 27 °C and 40% relative humidity. Immediately after the start of the run, the skin temperatures in areas other than the scrotum decreased or showed a tendency to decrease. In contrast, the scrotal temperature increased immediately after the start of the run. …

Factor Structure Of Food And Physical Activity Parenting Practices Among Us Fathers By Ethnicity And Survey Language: A Cross Sectional Study, Salma M A Musaad, Louise C Mâsse, Alicia Beltran, Oriana Perez, Teresia M O'Connor

Children’s Nutrition Research Center Staff Publications

Background: Parenting practices contribute to children’s eating and physical activity behaviors, and thereby their risk of obesity and associated medical conditions. Fathers may engage in different parenting practices than mothers. The objective of this study was therefore to establish psychometrically sound tools in English and Spanish for measuring Physical Activity Parenting Practices (PAPP) and Food Parenting Practices (FPP) for Hispanic and non-Hispanic fathers of diverse races for use in future studies, such as evaluations of family-based obesity interventions targeted at fathers.

Methods: We conducted a preliminary assessment of the psychometric properties of a reduced version of the PAPP and FPP …

Dietary Patterns For Weight And Glycemic Management In Persons With Type 1 Diabetes: A Meta-Analysis Of Clinical Trials, Daria Igudesman, Laura M Nally, Alyssa A Grimshaw, Craig G Gunderson, Elizabeth G Considine, Laura M Jacobsen, Mustafa Tosur, Peter A Gottlieb, Irl B Hirsch, Lori M Laffel, Jennifer L Sherr, Chantal Mathieu, Richard E Pratley

Children’s Nutrition Research Center Staff Publications

Background: Medical nutrition therapy is fundamental for managing glycemia and weight in type 1 diabetes, yet dietary guidance specific to this population and relevant subgroups is lacking.

Purpose: We synthesized the interventional literature investigating diet patterns for glycemic and weight management in youth and adults with type 1 diabetes, with attention to interindividual variation that suggests the need for precision approaches. The protocol was prospectively registered (CRD42024519941).

Data sources: AMED, CINAHL, Cochrane Library, Ovid MEDLINE, Ovid Embase, Google Scholar, and Web of Science Core Collection were searched from January 2011 to June 2024.

Study selection: Clinical trials ≥4 weeks with …