Digital Commons Network^™

Isatuximab Plus Bortezomib, Lenalidomide, And Dexamethasone For Transplant-Ineligible Newly Diagnosed Multiple Myeloma Patients: A Frailty Subgroup Analysis Of The Imroz Trial, Salomon Manier, Meletios-Athanasios Dimopoulos, Xavier P Leleu, Philippe Moreau, Michele Cavo, Hartmut Goldschmidt, Robert Z Orlowski, Muriel Tron, Christina Tekle, Marie-France Brégeault, Andrea T Shafer, Meral Beksac, Thierry Facon

Faculty, Staff and Student Publications

Patients with multiple myeloma (MM) meeting frailty criteria have worse outcomes than those identified as non-frail. Here, we present a post hoc subgroup analysis of IMROZ, a global, phase III, open-label study investigating isatuximab (Isa) with bortezomib, lenalidomide, and dexamethasone (VRd) followed by Isa-Rd (N=265) versus VRd followed by Rd (N=181) in newly diagnosed transplant-ineligible MM (Ti NDMM) patients using the simplified International Myeloma Working Group (sIMWG) frailty score. Although patients aged >80 years were excluded, there was no exclusion for patients meeting frailty criteria. All patients received standard VRd/Rd dosing; Isa-VRd patients received intravenous Isa (cycle 1, 10 mg/kg …

Systematic Literature Review Of Intravenous Versus Subcutaneous Administration Of Oncology Therapies: A Clinical, Economic And Patient Perspective, Saby George, Maria T Bourlon, Michael J Overman, Matt Dixon, Karishma Shelley, Kristen J Markus, Rachel M Kewley, Sophie I Pope, Laurence Albigès

Faculty, Staff and Student Publications

Subcutaneous (SC) formulations of oncology therapies offer a potentially less time-consuming and more convenient alternative to intravenous (IV) administration. However, exploring the potential benefits of SC over IV administration from a broader perspective is necessary to understand the larger-scale impact. In this systematic literature review (SLR), we evaluated the efficacy, pharmacokinetics/pharmacodynamics (PK/PD), safety, and patient and healthcare provider (HCP) preference for SC/IV oncology therapies, along with differences in patient outcomes, costs, and time requirements. The SLR was conducted in January 2019 and updated in May 2023, and included 169 publications. Studies providing comparative results between IV and SC formulations regarding …

Exploring Boundaries With Food, Substances, And People In Substance Use Recovery: A Qualitative Analysis, Tiffany Champagne-Langabeer, Audrey Sarah Cohen, Kriti Shrestha, Jie Zhu, Audrey Lopez, Alisha Campbell, Christine Bakos-Block

Faculty, Staff and Student Publications

Background: In the United States, over 47 million youth and adults live with a substance use disorder (SUD). These individuals are frequently malnourished and have metabolic dysregulation as a result. Nutrition interventions incorporating a mindfulness-based approach help recovery efforts that are physical and mental.

Objective: The objective of this study was to explore and analyze the perspectives and experiences of individuals with SUD regarding emotional regulation and nutrition. The study used a mixed methods approach to generate insights for improving recovery support and developing future interventions.

Design: In 2024, an exploratory mixed methods study was conducted based on a large …

Predicting Clinical Success Of Ct-Based Functional Drained Liver Volume Assessment In Malignant Biliary Obstruction, Ethan Y Lin, Bruno C Odisio, Koustav Pal, Iwan Paolucci, Ryan P Kempen, Nicolas Cardenas, Paige Reed, Ketan Y Shah, Ahmed Awad, Rahul A Sheth, David Fuentes, Alda Tam

Faculty, Staff and Student Publications

Purpose

To compare the predictive accuracy of subjective versus objective assessment of three-dimensional functional drained liver volume (fDLV) for clinical success after percutaneous transhepatic biliary drainage (PTBD).

Materials and Methods

This retrospective study included patients with malignant biliary obstruction and hyperbilirubinemia who underwent de novo PTBD between January 2016 and February 2017. Clinical success was defined as achieving total bilirubin level less than 1.8 mg/dL (30.8 μmol/L) within 30 days after PTBD. Seven interventional radiologists independently categorized subjective fDLV into four groups: less than 30%, 30%–50%, 51%–75%, and greater than 75% of the total liver volume. Objective fDLV was calculated …

Using Extension-Based Mrna Display To Design Antibody-Like Proteinogenic Peptides For Human Pd-L1, Justin N Ong, Brian J Grindel, Scott A Rankin, Sarah H Naylon, Anupallavi Srinivasamani, Guillaume J Trusz, Xiaowen Liang, Md Nasir Uddin, Lauren Fuller, Michael Curran, Stephane P Roche, Terry T Takahashi, Richard W Roberts, Steven W Millward

Faculty, Staff and Student Publications

Many peptide drugs rely on nonproteinogenic amino acids and chemical modifications for improved activity and proteolytic stability. However, these features also make drug production expensive and challenging to scale. Here, we engineered small, linear, proteinogenic peptides that bind human programmed death-ligand 1 (hPD-L1) with high affinity and stability using mRNA display affinity maturation. The resulting peptides, SPAM2 and SPAM3, have antibody-like affinities for hPD-L1 (dissociation constants between ~250 and 300 pM) and are selective for hPD-L1. Both SPAM2 and SPAM3 compete with hPD-L1 ligands known to interact with the programmed cell death protein 1 site and are stable in human …

Mechanisms Underlying Treatment-Resistant Depression: Exploring Sex-Based Biological Differences, Francisco E R Da Silva, Atakan Yucel, Antonio P M Menezes, Ana C Ruiz, Marcela C Carbajal Tamez, Tatiana Barichello, Giselli Scaini, Joao Quevedo

Faculty, Staff and Student Publications

Treatment-resistant depression (TRD) represents a severe and complex subtype of major depressive disorder (MDD), affecting approximately 30% of patients who fail to respond adequately to multiple standard antidepressant therapies. While the pathophysiology of TRD remains incompletely understood, emerging evidence suggests that sex-based biological differences might influence its onset, progression, and treatment response. Women are disproportionately affected by depression and are more likely to experience residual symptoms and treatment resistance, potentially due to hormonal fluctuations, immune system differences, and variations in brain circuitry and neuroplasticity. This narrative explores the current literature on the mechanisms underlying TRD, with a particular emphasis on …

Risk Of Second Primary Lung Cancer Among Cancer Survivors Stratified By The Site Of First Primary Cancer And The Lung Cancer Screening Eligibility Status, Sara Nofal, Edwin J Ostrin, Jianjun Zhang, Jia Wu, Paul Scheet, Mara B Antonoff, John V Heymach, Iakovos Toumazis

Faculty, Staff and Student Publications

Personal history of cancer is an independent risk factor for developing lung cancer. However, it is not considered in the current US lung cancer screening (LCS) guidelines. In this study, we assessed the risk of developing lung cancer among cancer survivors across 24 different sites of first primary cancer stratified by their LCS eligibility status. Using data from the Patient History Database at the University of Texas MD Anderson Cancer Center, we calculated and compared the cumulative incidence of second primary lung cancer, the overall and the LCS eligibility status-specific, stratified by the site of first primary cancer among cancer …

Unbound Bilirubin And Risk Of Severe Neurodevelopmental Impairment In Extremely Low Birthweight Newborns, Cody C Arnold, Ivana Maric, Ronald J Wong, Jon E Tyson, David K Stevenson

Faculty, Staff and Student Publications

Background: Unbound bilirubin (UB) was measured on day 5 ± 1 in 1101 ELBW newborns in the Aggressive vs Conservative Phototherapy randomized controlled trial. We accessed this dataset to quantify the UB-mediated risk of severe neurodevelopmental impairment (sNDI) in extremely low birthweight (ELBW) newborns.

Methods: UB levels were standardized within laboratories as z-score percentiles. A dichotomous UB exposure variable was based on sharply increased risk of sNDI at the 85th percentile (UBz>85th). Targeted maximum likelihood estimation with ensemble machine learning (TMLE + ML) and logistic regression (LR) were used to estimate sNDI risk attributable to UBz>85th.

Results: UB …

Utility Of Whole-Slide Imaging For Rapid Evaluation Of Thyroid Fna: A Multireader Prospective Study, Mohammed S Ahmed, Dianna Klippel-Almaraz, Sara E Amin, Gloria H Sura, Uma Rani Kundu, Wendong Yu, Jogn M Stewart, Qiong Gan, Savitri Krishnamurthy

Faculty, Staff and Student Publications

Background: Rapid on-site evaluation (ROSE) of thyroid fine-needle aspiration biopsy (FNAB) improves diagnostic adequacy and facilitates ancillary molecular testing. In this prospective, multireader study, the authors evaluated the feasibility of using whole-slide images (WSIs) for ROSE to determine specimen adequacy and preliminary categorization (according to The Bethesda System for Reporting Thyroid Cytopathology [Bethesda]) of image-guided thyroid FNABs compared with conventional light-microscopic (LM) examination of the same specimens in a referral cancer center.

Methods: The authors evaluated 98 ultrasound-guided thyroid FNAB cases. Smears were stained with Papanicolaou and Diff-Quik and were scanned at ×20 magnification using a Leica Aperio CS2 scanner. …

Spatial Colocalization And Molecular Crosstalk Of Myofibroblastic Cafs And Tumor Cells Shape Lymph Node Metastasis In Oral Squamous Cell Carcinoma, Ken Furudate, Shuya Kasai, Tadashi Yoshizawa, Yuya Sasaki, Kohei Fujikura, Shintaro Goto, Ryohei Ito, Koki Takagi, Tomoyuki Tanaka, Hiroshi Kijima, Kosei Kubota, Ken Itoh, Wataru Kobayashi, Koichi Takahashi

Faculty, Staff and Student Publications

Lymph node metastasis (LNM) is a critical prognostic factor for patients with oral squamous cell carcinoma (OSCC). Previous research has implicated the partial epithelial-to-mesenchymal transition of tumor cells and myofibroblastic cancer-associated fibroblasts (myCAFs) in the LNM process. However, the underlying molecular mechanisms remain poorly understood. Here, we conducted a comprehensive molecular analysis integrating original and publicly available OSCC data from bulk genome and transcriptome, single-cell transcriptome, and spatial transcriptome analyses. We found that myCAFs were quantitatively and functionally activated in LNM-positive samples and spatially colocalized with OSCC cells within the invasive tumor front (ITF), providing a niche that may facilitate …

Dna Methylation Cooperates With Genomic Alterations During Non-Small Cell Lung Cancer Evolution, Francisco Gimeno-Valiente, Carla Castignani, Elizabeth Larose Cadieux, Nana E Mensah, Xiaohong Liu, Kezhong Chen, Olga Chervova, Takahiro Karasaki, Clare E Weeden, Corentin Richard, Siqi Lai, Carlos Martínez-Ruiz, Emilia L Lim, Alexander M Frankell, Thomas B K Watkins, Georgia Stavrou, Ieva Usaite, Wei-Ting Lu, Daniele Marinelli, Sadegh Saghafinia, Gareth A Wilson, Pawan Dhami, Heli Vaikkinen, Jonathan Steif, Selvaraju Veeriah, Robert E Hynds, Martin Hirst, Crispin Hiley, Andrew Feber, Özgen Deniz, Mariam Jamal-Hanjani, Nicholas Mcgranahan, Tracerx Consortium, Stephan Beck, Jonas Demeulemeester, Miljana Tanić, Charles Swanton, Peter Van Loo, Nnennaya Kanu

Faculty, Staff and Student Publications

Aberrant DNA methylation has been described in nearly all human cancers, yet its interplay with genomic alterations during tumor evolution is poorly understood. To explore this, we performed reduced representation bisulfite sequencing on 217 tumor and matched normal regions from 59 patients with non-small cell lung cancer from the TRACERx study to deconvolve tumor methylation. We developed two metrics for integrative evolutionary analysis with DNA and RNA sequencing data. Intratumoral methylation distance quantifies intratumor DNA methylation heterogeneity. MR/MN classifies genes based on the rate of hypermethylation at regulatory (MR) versus nonregulatory (MN) CpGs to identify driver genes exhibiting recurrent functional …

In Situ Programming Of The Tumor Microenvironment To Alleviate Immunosuppression For Pancreatic Cancer Immunotherapy, Man Sun, Huan Zhang, Yarui Ma, Simiao Wang, Jiayi Chen, Yaxin Cui, Yun Zhang, Siyuan Hu, Dan Zhou, Pengchen Zhang, Yahui Liu, Betty Y S Kim, Wen Jiang, Xiaobing Wang, Zhaogang Yang

Faculty, Staff and Student Publications

Recent studies have highlighted the pivotal role of the cGAS‐STING pathway in cancer immunotherapy. However, clinical trials with cGAS‐STING pathway agonists have faced setbacks thanks to their short biological half‐life, lack of tumor specificity, and potential to promote tumor immune evasion. To address these challenges, a novel exosome‐based drug delivery platform, termed cmExoaCD11b is developed, designed to precisely target and reprogram the tumor microenvironment (TME) in situ for pancreatic cancer immunotherapy. cmExoaCD11b is engineered to encapsulate high copy numbers of IL‐12 mRNA and 2′3’‐cGAMP (cGAMP) and is functionalized with CD11b antibodies for targeted delivery to macrophages. Notably, cmExoaCD11b facilitated the …

Sex Disparities In Chlamydia And Gonorrhea Treatment In Us Adult Emergency Departments: A Systematic Review And Meta-Analysis, Rachel E Solnick, Rahi Patel, Ethan Chang, Carmen Vargas-Torres, Maaz Munawar, Carlin Pendell, Judith E Smith, Ethan Cowan, Keith E Kocher, Roland C Merchant

Faculty, Staff and Student Publications

BACKGROUND: Empiric antibiotic treatment for gonorrhea (GC) and chlamydia (CT) is common in U.S. emergency departments (EDs) due to the delayed availability of test results. Local studies have identified sex-based disparities in sexually transmitted infection (STI) care, with females potentially receiving less empiric treatment than males. This study evaluates how STI treatment aligns with laboratory-confirmed results to quantify potential overtreatment and undertreatment rates and investigates sex differences for these outcomes.

METHODS: We conducted a preregistered (PROSPERO #241429) systematic review and meta-analysis of studies published between January 2010 and January 2025 in U.S. EDs, excluding studies conducted exclusively in pediatric settings. …

Machine Learning Feasibility In Cochlear Implant Speech Perception Outcomes-Moving Beyond Single Biomarkers For Cochlear Implant Performance Prediction, Matthew A. Shew, Cole Pavelchek, Andrew Michelson, Amanda Ortmann, Shannon Lefler, Amit Walia, Nedim Durakovic, Alisa Phillips, Ayna Rejepova, Jacques A. Herzog, Phillip Payne, Jay F. Piccirillo, Craig A. Buchman

2020-Current year OA Pubs

OBJECTIVES: Machine learning (ML) is an emerging discipline centered around complex pattern matching and large data-based prediction modeling and can improve precision medicine healthcare. Cochlear implants (CI) are highly effective, however, outcomes vary widely, and accurately predicting speech perception performance outcomes between patients remains a challenge. This study aims to evaluate the ability of ML to predict speech perception performance among CI recipients at 6-month post-implantation using only preoperative variables on one of the largest CI datasets to date, with an emphasis placed on identification of poor performers.

DESIGN: All patients enrolled in the national CI outcome tracking database, HERMES, …

Parent Needs, Recommendations, And Systemic Challenges Affecting Pediatric Hypertension Detection, Abbas H. Zaidi, Erica D. Sood, Sarah De Ferranti, Samuel Gidding, Varsha Zadokar, Jonathan M. Miller, Anne E Kazak

Department of Pediatrics Faculty Papers

Pediatric hypertension (HTN) affects 3%-5% of children in the United States, yet only 25% are diagnosed and 60% lack recommended follow-up care. Skepticism about elevated blood pressure (BP) readings and reluctance to use antihypertensive medications by parents and clinicians highlight the need for stakeholder-informed strategies to address these challenges. This study examined parents' perceived needs, their recommended strategies to improve HTN detection, and contextual health system challenges. Parents and clinicians from 10 pediatric primary care clinics participated in semi-structured qualitative interviews. Only parents of children with documented stage 2 BP readings and a HTN diagnosis, but with gaps in care …

High-Fidelity Finite Element Modeling Technique To Improve Sensitivity To Bone Tissue Changes Of Older Adults With Obesity Undergoing Intensive Lifestyle Intervention, Michael A K Liebschner, Daeseung Kim, Nina Klonis, Giulia Gregori, Reina Armamento-Villareal, Clifford Qualls, Dennis T Villareal

Faculty, Staff and Students Publications

Introduction: Obesity presents a significant health risk for the aging population. Research shows that weight loss and regular exercise can greatly improve the functional status of older adults who are obese. However, weight loss may also result in a decrease in bone mass. To properly assess changes in fracture risk due to lifestyle interventions, a direct biomechanical evaluation of bone strength and fracture risk at metabolically active sites is essential.

Methods: Computed tomography scans taken at two different time points of ten human volunteers provided the foundation for this study. A high-fidelity segmentation and modeling approach was taken to generate …

Unravelling The Global Tapestry Of Genetic Ataxias: Epidemiology And Genetic Testing Approaches, Malco Rossi, Christopher D Stephen, Joana Damásio, José Luiz Pedroso, Sheng-Han Kuo, Chi-Ying R Lin, Oluwadamilola Ojo, Shaimaa El-Jaafary, Woong-Woo Lee, Harutyun Madoev, Orlando G P Barsottini, Achal Kumar Srivastava, Christine Klein, Bart P Van De Warrenburg

Faculty, Staff and Students Publications

The landscape of genetic ataxias is influenced by migration, population genetics, consanguinity, and founder effects, resulting in significant regional variation. Within the expanding domain of genetic ataxias, knowledge of regional epidemiology is scarce, particularly outside of North America and Europe. Understanding the epidemiology of genetic ataxias, together with deep phenotyping and knowledge of the appropriate ancillary studies, is crucial for the development and deployment of diagnostic testing strategies. This review offers a comprehensive, data-driven overview of 2932 articles with regional epidemiological estimates and the occurrence and prevalence of 548 genes associated with ataxia across 122 countries. Regional differences in epidemiology …

Experiences Of Emotional Support Among Parents Of Children And Adolescents With Type 1 Diabetes: A Qualitative Study, Sahar S Eshtehardi, Marissa N Baudino, Barbara J Anderson, Deborah I Thompson, David G Marrero, Marisa E Hilliard

Faculty, Staff and Students Publications

Objective: Parents of youth with type 1 diabetes (T1D) experience substantial disease-specific demands and distress, yet their perceptions about the emotional support they receive related to the challenges of caring for a child with diabetes have not been well described. This research aimed to characterize the types of emotional support parents of youth with T1D receive and how they experience emotional support.

Methods: As part of a larger qualitative study on diabetes health-related quality of life, 23 parents (96% mothers) of youth with T1D (M age = 10.9 ± 3.8 years; 35% female) completed semi-structured interviews about various aspects of …

Spatial Omics Enters The Microscopic Realm: Opportunities And Challenges, Yichen Si, Joo Sang Lee, Goo Jun, Hyun Min Kang, Jun Hee Lee

Faculty, Staff and Students Publications

Spatial transcriptomics (ST) enables systematic profiling of whole-transcriptome gene expression in tissues while preserving spatial context. Recent advances in sequencing- and imaging-based ST technologies have ushered in the era of microscopic-resolution ST (μST), allowing transcriptome mapping at cellular and even subcellular scales with unprecedented precision. Despite these advances, μST faces substantial challenges, including sparse transcript discovery per submicron (or micron)-sized spatial units and data fragmentation across platforms, hindering integration and analysis. There is also a growing demand for scalable, segmentation-free, and universally applicable analysis methods, as well as strategies for 3D mapping, multi-omics integration, and artificial intelligence (AI)-driven spatial analysis. …

Prenatal Obsessive Beliefs Predict Postpartum Obsessive-Compulsive Symptoms: A Prospective Study, Jonathan S Abramowitz, Samantha N Hellberg, Janice Krasnow, Joseph B Friedman, Nicholas S Myers, Paul S Nestadt, Heidi J Ojalehto, Emily K Juel, Jack Samuels, Mary E Kimmel, Lauren M Osborne, Eric A Storch, Gerald Nestadt, Rashelle J Musci

Faculty, Staff and Students Publications

This longitudinal study examined whether specific cognitive patterns during pregnancy predict postpartum obsessive-compulsive (OC) symptoms. A diverse sample of 256 women was assessed at 20 weeks of pregnancy (Time 1), 6 weeks postpartum (Time 2; n = 233), and 6 months postpartum (Time 3; n = 231). At each point, participants completed interview and/or self-report measures of OC symptoms, psychological distress, and obsessive beliefs (i.e., cognitive patterns related to OC symptoms). Postpartum OC symptoms were common, reported by 87.1 % at Time 2 and 74.5 % at Time 3. Stronger prenatal obsessive beliefs during pregnancy predicted greater postpartum OC symptom …

A Metabolomics Study Of Cardiac Dysfunction In Hyperglycemia: Findings From The Atherosclerosis Risk In Communities (Aric) Study And The Hispanic Community Health Study/Study Of Latinos (Hchs/Sol), Yilin Yoshida, Ngoc Quynh Nguyen, Eun Hye Moon, Casey Rebholz, Hicham Skali, Victoria Arthur, Justin B Echouffo-Tcheugui, Christie Ballantyne, Elizabeth Selvin, Amil Shah, Robert Kaplan, Carlos J Rodriguez, Qibin Qi, Susan Cheng, Bing Yu

Faculty, Staff and Student Publications

Objective: Hyperglycemic states (prediabetes and diabetes) are associated with heart failure (HF) risk. We aimed to identify distinct metabolites for subclinical cardiac dysfunction, a precursor of HF, in hyperglycemic or euglycemic individuals.

Research design and methods: We conducted cross-sectional and prospective analyses of 2,492 HF-free participants from the Atherosclerosis Risk in Communities (ARIC) study visit 5, 2011-2013. A total of 1,297 participants were hyperglycemic (assessed on the basis of hemoglobin A1c >5.7%, fasting glucose >100 mg/dL, use of diabetes medication, or diagnosis), and 1,195 were euglycemic. We used logistic regression for analysis of association between 790 metabolites and cardiac dysfunction, …

The Effect Of Tert Promoter Mutation On Predicting Meningioma Outcomes: A Multi-Institutional Cohort Analysis, Karenna J Groff, Ruchit V Patel, Yang Feng, Hia S Ghosh, Miguel A Millares Chavez, Joseph O'Brien, William C Chen, Vijay Nitturi, Akshay V Save, Mark W Youngblood, Craig M Horbinski, James P Chandler, Felix Ehret, Chloe Gui, Justin Z Wang, Kristen Park, Sonia Ajmera, Marc Rosenblum, Abigail K Suwala, Catena Kresbach, Christopher W Mount, Ulrich Schüller, Sandro Santagata, Felix Sahm, Tejus A Bale, Christina Jackson, Timothy E Richardson, Chunyu Cai, Farshad Nassiri, Gelareh Zadeh, David Kaul, David Capper, Stephen T Magill, John G Golfinos, Chandra Sen, Akash J Patel, David R Raleigh, Jennifer Moliterno, Donato Pacione, Matija Snuderl, Wenya Linda Bi

Duncan NRI Faculty and Staff Publications

Background: Molecular aberrations have been incorporated into tumour classification guidelines of meningioma. TERT-promoter (TERTp) mutation is associated with worse prognosis and is designated a WHO grade 3 biomarker. However, it remains unclear whether TERTp mutation is context-dependent, with other co-occurring genetic alterations potentially driving its association with prognosis. We sought to characterise the role of TERTp mutation in meningioma and guide TERTp sequencing.

Methods: We identified 1492 patients of all ages who had previously received surgery for meningioma across 14 medical centres in the USA, Canada, and Germany. Patients were eligible if they had post-surgical clinical or radiographical assessment of …

A Consensus Guide To Preclinical Indirect Calorimetry Experiments, Alexander S Banks, David B Allison, Thierry Alquier, Ansarullah, Steven N Austad, Johan Auwerx, Julio E Ayala, Joseph A Baur, Stefania Carobbio, Gary A Churchill, Morten Dall, Rafael De Cabo, Jose Donato, Nathalia R V Dragano, Carol F Elias, Anthony W Ferrante, Brian N Finck, Jose E Galgani, Zachary Gerhart-Hines, Laurie J Goodyear, Justin L Grobe, Rana K Gupta, Kirk M Habegger, Sean M Hartig, Andrea L Hevener, Steven B Heymsfield, Corey D Holman, Martin Hrabě De Angelis, David E James, Lawrence Kazak, Jae Bum Kim, Martin Klingenspor, Xingxing Kong, Sander Kooijman, Louise Lantier, K C Kent Lloyd, James C Lo, Irfan J Lodhi, Paul S Maclean, Owen P Mcguinness, Gema Medina-Gómez, Raghavendra G Mirmira, Christopher D Morrison, Gregory J Morton, Timo D Müller, Yoshihiro Ogawa, David Pajuelo-Reguera, Matthew J Potthoff, Nathan Qi, Marc L Reitman, Patrick C N Rensen, Jan Rozman, Jennifer M Rutkowsky, Kei Sakamoto, Philipp E Scherer, Gary J Schwartz, Radislav Sedlacek, Mohammed Selloum, Saame Raza Shaikh, Shuai Chen, Gerald I Shulman, Vojtěch Škop, Alexander A Soukas, John R Speakman, Bruce M Spiegelman, Gregory R Steinberg, Katrin J Svensson, John P Thyfault, Tony Tiganis, Paul M Titchenell, Nigel Turner, Licio A Velloso, Antonio Vidal-Puig, Christopher S Ward, Ashley S Williams, Christian Wolfrum, Allison W Xu, Ying Xu, Juleen R Zierath, International Indirect Calorimetry Consensus Committee (Iiccc)

Children’s Nutrition Research Center Staff Publications

Understanding the complex factors influencing mammalian metabolism and body weight homeostasis is a long-standing challenge requiring knowledge of energy intake, absorption and expenditure. Using measurements of respiratory gas exchange, indirect calorimetry can provide non-invasive estimates of whole-body energy expenditure. However, inconsistent measurement units and flawed data normalization methods have slowed progress in this field. This guide aims to establish consensus standards to unify indirect calorimetry experiments and their analysis for more consistent, meaningful and reproducible results. By establishing community-driven standards, we hope to facilitate data comparison across research datasets. This advance will allow the creation of an in-depth, machine-readable data …

Current Controversies In Prenatal Diagnosis 2: Conventional Postmortem Examination Remains The Gold Standard For The Anatomical Examination Of Fetal Loss, J Ciaran Hutchinson, Lorraine Potocki, Ignatia B Van Den Veyver

Duncan NRI Faculty and Staff Publications

A comprehensive postmortem examination is an essential component of a work-up after stillbirth. Its findings can support accurate counseling of parents about causes and risk of recurrence. It also supports providers' decisions about most appropriate testing and management plans for future pregnancy to prevent recurrence. Informing parents about fetal autopsy and obtaining their consent is challenging, and conducting a fetal autopsy requires expertise that is, not universally available. Newer non-invasive or minimally invasive methods such as postmortem MRI and targeted biopsies can replace or supplement autopsies, but one must recognize that expertise in these methods is likewise not broadly available. …

Deepmvp: Deep Learning Models Trained On High-Quality Data Accurately Predict Ptm Sites And Variant-Induced Alterations, Bo Wen, Chenwei Wang, Kai Li, Ping Han, Matthew V Holt, Sara R Savage, Jonathan T Lei, Yongchao Dou, Zhiao Shi, Yi Li, Bing Zhang

Center on Aging Staff Publications

Post-translational modifications (PTMs) are critical regulators of protein function, and their disruption is a key mechanism by which missense variants contribute to disease. Accurate PTM site prediction using deep learning can help identify PTM-altering variants, but progress has been limited by the lack of large, high-quality training datasets. Here, we introduce PTMAtlas, a curated compendium of 397,524 PTM sites generated through systematic reprocessing of 241 public mass-spectrometry datasets, and DeepMVP, a deep learning framework trained on PTMAtlas to predict PTM sites for phosphorylation, acetylation, methylation, sumoylation, ubiquitination and N-glycosylation. DeepMVP substantially outperforms existing tools across all six PTM types. Its …

The Group Interview As A Method Of Efficient Hiring: The Experience Of A Regional Medical School Campus, Matthew Mcmillin, Peter Boedeker, Kammy Contreras, Stephen Charles

Faculty and Staff Publications

Problem: In 2020, Baylor College of Medicine (BCM) established a regional campus in Temple, Texas (BCM-T), that required recruitment of multiple foundational sciences faculty members in a limited time frame. Group in-person interviews were used to fill these roles efficiently while promoting interaction between candidates and BCM faculty. This study assesses whether interviewing foundational sciences medical educators in a group setting can efficiently fill faculty positions, reducing time and financial costs while being perceived as fair and acceptable to the candidates.

Approach: Study participants were prospective foundational sciences faculty members who interviewed for a faculty position at BCM-T in a …

Time-Frequency Fingerprint Analysis In Seeg Source-Space To Identify The Epileptogenic Zone, Yash Shashank Vakilna, Deniz Atilgan, Johnson Hampson, Chinmay Chinara, Takfarinas Medani, Richard M Leahy, Nuria Lacuey, Samden D Lhatoo, Sandipan Pati, John C Mosher, Jay R Gavvala

Faculty, Staff and Student Publications

This case study highlights the application of seizure fingerprint analysis in the source-space of stereo-EEG (SEEG) data to accurately localize the epileptogenic zone (EZ) in patients with complex cortical malformations. A 25-year-old female with extensive bilateral perisylvian polymicrogyria (PMG) presented with intractable focal seizures. The source-level analysis performed in Brainstorm using the sLORETA imaging algorithm subsequently showed EZ fingerprint analysis. The patient underwent MR-guided laser interstitial thermal therapy (LITT), targeting the identified EZ, resulting in postoperative seizure freedom with minimal complications. Extending the analysis from the sensor-space to the source-space could further enhance surgical planning and improve outcomes in complex …

Prenatal Genetic Consultation And Testing, Sarah Araji, Lauren Westerfield, Roni Zemet, Ignatia B Van Den Veyver

Duncan NRI Faculty and Staff Publications

The evolution of prenatal genetic testing has transformed prenatal diagnosis into a more precise and individualized approach. Advanced tools such as chromosomal microarray analysis and exome sequencing have enabled the prenatal diagnosis of more genetic conditions, including anomalies and disorders eligible for fetal therapy. When in utero therapy is considered, accurate genetic diagnosis is essential for guiding providers' and patients' decisions regarding management and outcomes. This chapter reviews available prenatal genetic screens and tests, their indications, and counseling strategies. It also explores genetic abnormalities associated with fetal structural anomalies and their implications for decision-making in fetal interventions.

Diagnostic Yield Of Exome Sequencing For Pregnancies With And Without Fetal Anomalies And For Stillbirth, Roni Zemet, Christian M Parobek, April D Adams, Mohamad Ali Maktabi, Lena Shay, Linyan Meng, Pengfei Liu, Hongzheng Dai, Fan Xia, Christine Eng, Ignatia B Van Den Veyver, Liesbeth Vossaert

Duncan NRI Faculty and Staff Publications

Objective: Exome sequencing (ES) benefits the genetic work-up for fetuses with structural anomalies, but data on its utility for fetuses without anomalies and stillbirths is more limited. We report our experience with prenatal ES for all three indications.

Method: We retrospectively reviewed results from 344 trio-ES performed for fetuses with structural anomalies (N = 262), stillbirths (N = 39), and fetuses without anomalies (N = 43), many of which had a relevant family history. We classified pathogenic variants (P), likely pathogenic variants (LP), or variants of uncertain significance (VUS) favoring pathogenicity in a gene consistent with the fetal phenotype as …

Plasma Lipidome Dysregulation In Frontotemporal Dementia Reveals Shared, Genotype-Specific, And Severity-Linked Alterations., Yohannes A Ambaw, Peter A Ljubenkov, Shubham Singh, Abdi Hamed, Sebastian Boland, Adam L Boxer, Tobias C Walther, Robert V Farese

Duncan NRI Faculty and Staff Publications

Introduction: Biomarkers are essential for monitoring the progression of frontotemporal dementia (FTD). Although dysregulated brain lipid metabolism, particularly sphingolipids enriched in the nervous system, is a key feature of neurodegeneration, plasma lipids remain underexplored as biomarkers compared to imaging and serum proteins.

Methods: We examined plasma lipidomes using liquid chromatography-tandem mass spectrometry (LC-MS/MS) from individuals carrying pathogenic variants linked to autosomal dominant FTD (GRN, C9orf72, MAPT) and non-carriers.

Results: FTD subjects exhibited increased plasma levels of gangliosides (GM3(d18:1_16:0), GM3(d18:1_24:1)), ceramide Cer(d18:1_23:0), and select polyunsaturated triacylglycerols. In contrast, phosphatidylethanolamine (PE(18:0_24:0) and sphingomyelin (SM(38:0) were reduced. Subtype-specific changes included elevated glucosylsphingosine (GlcSph(d18:1) …