Digital Commons Network^™

[Factors Associated With Adhd Medication Adherence And Treatment Outcomes, Hali Temkin, Kerri L Daniel, Diana Martinez, Julia C Bennett, Paris A Nix, Linh Nguyen, Yen-Chi Le, Bruno Kluwe-Schiavon, Cesar A Soutullo

Faculty, Staff and Student Publications

Introduction: Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects 5 to 8% of youth and 2.5 to 4% of adults. Pharmacological treatments are among the most effective when treating ADHD, yet adherence to medication is still sub-optimal. We reviewed the literature on clinical and socio demographic factors that may influence adherence and compared it to our clinical data.

Methods: We conducted a targeted literature review on factors associated with ADHD medication adherence. These factors were compared within our sample of patients aged 3-18 with ADHD at the Child and Adolescent Mood Disorders Program (ChAMP) at (UT Health) - Houston. …

Childhood Pulmonary Outcomes After Late Preterm Antenatal Corticosteroids, Cynthia Gyamfi-Bannerman, Rebecca G Clifton, Robert A Wise, Alan T N Tita, Jessica A De Voest, Sharon A Mcgrath-Morrow, Elizabeth C Matsui, Sean C Blackwell, Monica Longo, Sabine Z Bousleiman, Felecia Ortiz, Sankaran Krishnan, Dwight J Rouse, Torri D Metz, George R Saade, Maged M Costantine, Kent D Heyborne, John M Thorp, Kelly S Gibson, Geeta K Swamy, William A Grobman, Yasser Y El-Sayed, George A Macones, Eunice Kennedy Shriver National Institute Of Child Health And Human Development Maternal-Fetal Medicine Units Network And The National Heart, Lung, And Blood Institute

Faculty, Staff and Student Publications

Objective: To evaluate whether antenatal betamethasone affects childhood respiratory impairment.

Methods: This was a prospective follow-up study of children aged 6 years and older from parents in the ALPS (Antenatal Late Preterm Steroids) trial randomized to betamethasone or placebo from 34 0/7 to 36 6/7 weeks of gestation. Primary outcome composite included the following: 1) abnormal spirometry, forced expiratory volume in 1 second (FEV 1 ) below the lower limit of normal, FEV 1 /forced vital capacity (FVC) below the lower limit of normal, or FVC below the lower limit of normal, defined as below the 5th percentile by the …

Impact Of Mutational Landscape And Burden On Rbc Transfusion Response In Patients With Lower-Risk Myelodysplastic Syndromes (Lr-Mds) In The Commands Study, Rami S Komrokji, Sheida Hayati, Manuel Ugidos, Guillermo Garcia-Manero, Matteo Giovanni Della Porta, Amer M Zeidan, Valeria Santini, Uwe Platzbecker, Anita K Gandhi, Rajasekhar N V S Suragani

Faculty, Staff and Student Publications

The COMMANDS trial established luspatercept as a first‐line treatment for anemia in transfusion‐dependent lower‐risk (LR) myelodysplastic syndromes (MDS). Here we report red blood cell (RBC) transfusion response analysis based on somatic mutations profile and disease risk for patients treated with luspatercept or epoetin alfa in the COMMANDS trial. Of 350 evaluable patients, 238 (68.0%) had MDS with multiple lineage dysplasia and ring sideroblasts (RS) according to World Health Organization 2016 criteria, and 320 (91.4%) had somatic mutations in ≥ 1 gene (median, 2) with median variant allele frequencies (VAF) of 2%–59%. Mutation profiles were similar in the treatment groups. Luspatercept …

Reconstruction Of A Composite Heel Defect Using Achilles Tendon Allograft And Latissimus Dorsi Free Flap: Case Report And Literature Review, Georgios Karamitros, Carolyn Drogt, Stephen J Warner, Michael P Grant, Gregory A Lamaris

Faculty, Staff and Student Publications

Background: Composite heel defects involving the Achilles tendon and overlying soft tissue are rare and technically demanding. Successful management requires restoration of tendon continuity and durable coverage. We reviewed the literature and presented a representative case to illustrate current strategies.

Methods: A literature review of 28 studies that reported outcomes of Achilles tendon reconstruction with concomitant soft tissue coverage was performed. Tendon restoration techniques(allografts, autografts, vascularized grafts) and flap types (muscle and fasciocutaneous) were analyzed for functional recovery, complication rates, and donor-site morbidity. Additionally, we report the case of a 14-year-old woman with a 7-cm Achilles tendon defect and full-thickness …

Beyond Short Microhomologies: Mismatch-Compatible Pol Θ-Mediated Dna Damage Repair, Yuzhen Li, Richard D Wood

Faculty, Staff and Student Publications

DNA polymerase θ (Pol θ)-mediated end-joining (TMEJ), one of several pathways for repairing DNA double-strand breaks, is traditionally thought to initiate via anchoring at short, consecutive, and perfectly matched microhomologies (MHs). Emerging evidence indicates that Pol θ can utilize MHs containing mismatches both in vitro and in vivo. This revised definition of MH provides a mechanistic explanation for a broader spectrum of Pol θ-dependent repair outcomes. Here, we summarize recent findings on the revised definition of MHs utilized by Pol θ, assess the applicability of this concept across species, and compare TMEJ with other (micro)hom(e)ology-mediated repair pathways. We explore how …

Shiny-Magec: A Bayesian R Shiny Application For Meta-Analysis Of Censored Adverse Events, Zihan Zhou, Zizhong Tian, Christine Peterson, Le Bao, Shouhao Zhou

Faculty, Staff and Student Publications

Accurate assessment of adverse event (AE) incidence is critical in clinical research for drug safety. While meta-analysis serves as an essential tool to comprehensively synthesize the evidence across multiple studies, incomplete AE reporting in clinical trials remains a persistent challenge. In particular, AEs occurring below study-specific reporting thresholds are often omitted from publications, leading to left-censored data. Failure to account for these censored AE counts can result in biased AE incidence estimates. We present an R Shiny application that implements a Bayesian meta-analysis model specifically designed to incorporate censored AE data into the estimation process. This interactive tool provides a …

Frontotemporal Network Interactions Causally Support Rapid Concreteness Judgments During Reading, Elliot Murphy, Oscar Woolnough, Cale W Morse, Xavier Scherschligt, Nitin Tandon

Faculty, Staff and Student Publications

Neurobiological models of conceptual processing have been limited in spatiotemporal resolution, and uncertainty remains about the causal role of specific regions in concept representation. We utilized intracranial recordings in human neurosurgical patients with epilepsy (n = 19) during a concreteness judgement paradigm of single word reading. Concrete concepts showed greater high-frequency activation across a frontal and ventrotemporal network, while greater activation for abstract words was found in lateral posterior middle temporal cortex. Intercortical communications, measured by high-frequency partial direct coherence, revealed bidirectional frontal and ventral plus lateral temporal interactions. Words occupying the middle range of the concreteness scale (e.g., "profit") …

Large Language Models For Bioinformatics, Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu

Faculty, Staff and Student Publications

With the rapid advancements in large language model technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications. This survey aims to address this need by providing a thorough review of BioLMs, focusing on their evolution, classification, and distinguishing features, alongside a detailed examination of training methodologies, datasets, and evaluation frameworks. We explore the wide-ranging applications of BioLMs in critical areas such as disease diagnosis, drug discovery, and vaccine development, highlighting their impact and transformative potential in bioinformatics. We identify key challenges and …

Tuscan: Tumor Segmentation And Classification Analysis In Spatial Transcriptomics, Chenxuan Zang, Charles C Guo, Yaohong Wang, Peng Wei, Ziyi Li

Faculty, Staff and Student Publications

The identification of tumor cells is pivotal for understanding tumor heterogeneity and the tumor microenvironment. Recent advances in spatially resolved transcriptomics (SRT) have revolutionized the way that transcriptomic profiles are characterized and have enabled the simultaneous quantification of transcript locations in intact tissue samples. SRT is a promising alternative method to study gene expression patterns in spatial domains. Nevertheless, the precise detection of tumor regions within intact tissue remains a great challenge. A common strategy for identifying tumor cells is via tumor-specific marker gene expression signatures, which are highly dependent on marker accuracy. Another effective approach is through aneuploid copy …

Severe Renal Phenotype Across A Multigenerational Tuberous Sclerosis Complex (Tsc) Family, Elena Tuller, Joshua A Samuels, Hope Northrup, Kate Richardson

Faculty, Staff and Student Publications

Background: Tuberous sclerosis complex (TSC) is an autosomal dominant genetic disorder characterized by the formation of hamartomas in the brain, kidney, and heart, along with other complex clinical manifestations, including TSC-associated neuropsychiatric disorder (TAND). Development of genotype-phenotype correlations within TSC can aid clinicians in providing prognostic data and improve clinical management. We present here a multigenerational family who has a pathogenic variant in TSC2 displaying a severe renal phenotype.

Methods: A 23-year-old Caucasian male (Patient 1) was determined to have a molecularly confirmed diagnosis of TSC at approximately 2 months of age. The nonsense pathogenic variant (c.1372C>T (p.Arg458*)) in …

An Adp Getaway Service, Not An Atp Tank: Insights Into The Phosphagen System In Neurons, Madeline P Marques, Kartik Venkatachalam

Faculty, Staff and Student Publications

No abstract provided.

Segmental Tracheal Resection For Thyroid Cancer: Perioperative Morbidity, Locoregional Control, And Survival, Anastasios Maniakas, David C Wilde, Isabelle Fournier, Emily K Hyde, Li Xu, Jennifer R Wang, Neil D Gross, Erich M Sturgis, Victoria Banuchi, Naifa L Busaidy, Maria E Cabanillas, Priyanka Iyer, Ramona Dadu, Steven G Waguespack, Mimi I Hu, G Brandon Gunn, Michael Kwon, Salmaan Ahmed, Michelle D Williams, Mark E Zafereo

Faculty, Staff and Student Publications

Background: Segmental tracheal resection is rarely needed for advanced thyroid cancer but is among the most complex, high-risk thyroid surgeries.

Methods: Retrospective study of patients undergoing segmental tracheal resection for thyroid cancer at MD Anderson Cancer Center (2005-2024).

Results: We identified 120 patients with a median follow-up of 4.6 years (range 0.02-16.38). Papillary thyroid cancer was most common (68%). The median number of tracheal rings resected was 4 (range 1-9). Seventeen (14%) patients had a new tracheostomy placed at the time of surgery, with 11 (9%) remaining trach-dependent at last follow-up. Twenty-six (22%) patients had a return to the operating …

Terraforming The Kras Lipid Landscape, Yong Zhou, John F Hancock

Faculty, Staff and Student Publications

No abstract provided.

Rab4 Spatially And Functionally Converges With Rab7 In The Degradative Endolysosomal Network, Stephen M Farmer, Shiyu Xu, Yue Yu, Xin Ye, Haoyi Yang, Jing Cai, Beatriz Rios, Wen-Wen Lin, Daniela Covarrubias, Vicky Chuong, Lili Ye, German Zylberberg, Charissa Wang, Erin Furr-Stimming, Qingchun Tong, Oguz Kanca, Hugo J Bellen, Travis I Moore, Sheng Zhang

Faculty, Staff and Students Publications

Rab GTPases are key regulators of endosomal trafficking in eukaryotes. In mammalian cells, Rab4 and Rab7 were shown to localize to distinct compartments, with Rab4 on early endosomes for fast recycling and Rab7 on late endosomes for degradation. Here, we show that in Drosophila, endogenous Rab4 and Rab7 extensively colocalize across tissues and developmental stages. Recruited to the same compartments through mechanisms that do not require the activity of the other, they have opposing effects on endolysosomal size: Rab4 overexpression or Rab7 impairment leads to enlarged endolysosomes, whereas Rab4 loss or constitutively active Rab7 reduces their sizes. Rab4 deficiency suppresses …

Predictive Validity Of The Obsessive-Compulsive Inventory-4 And Florida Obsessive-Compulsive Inventory-Ii Severity Scale, Eric A Storch, Ryan J Mccarty, Maya Zehavi, Mahnoor Ahmad, Vanessa Zavala Cruz, Dayan Berrones, Josselyn S Muñoz, Diana Obando, Servando Rodriguez Barajas, Renee M Frederick, Jacey L Anderberg, Hannah C Moore, Marcos E Ochoa-Panaifo, Mayra C Martinez Mallen, Ogechi C Onyeka, Andrew D Wiese, Melisa N Sagarnaga, Joseph F Mcguire, Ygor Arzeno Ferrão, Latin American Trans-Ancestry Initiative For Ocd Genomics (Latino), Wayne K Goodman, James J Crowley, Brazilian Obsessive-Compulsive Spectrum Disorder Working Group (Gttoc)

Faculty, Staff and Students Publications

Efficient and accurate screening tools are crucial for improving early identification and treatment outcomes among individuals with obsessive-compulsive disorder (OCD). This study evaluated the sensitivity and specificity of two OCD screening measures: the Obsessive-Compulsive Inventory-4 (OCI-4) and the Florida Obsessive-Compulsive Inventory-II (FOCI-II) severity scale. The measures were administered in a large transnational sample of Spanish speaking Latin American adults (N = 1696) with elevated obsessive-compulsive symptomatology. Participants completed diagnostic interviews (MINI and Y-BOCS) and self-report assessments across 23 sites in 11 countries. Both measures significantly distinguished OCD from non-OCD cases, with the FOCI-II demonstrating somewhat better predictive performance (AUC = …

Segmental And Multifocal Isolated Dystonias: Similarities And Differences, Hyder A Jinnah, Vittorio Velucci, Daniele Belvisi, Gamze Kilic-Berkmen, Joel S Perlmutter, Laura J Wright, Christine Klein, Jeanne S Feuerstein, Steven Bellows, Joseph Jankovic, Cynthia Comella, Richard L Barbano, Aparna Wagle Shukla, Stephen G Reich, Mark S Ledoux, Alberto J Espay, Kevin R Duque, Florence C F Chang, Victor S C Fung, Sarah Pirio-Richardson, Carmen Terranova, Emile S Moukheiber, Sarah Idrissi, Barbara Vitucci, Susan H Fox, Samuel Frank, Natividad Stover, Brian D Berman, Rachel Saunders-Pullman, William G Ondo, Christopher L Groth, Marcello Esposito, Laura Avanzino, Francesco Bono, Roberto Erro, Marcello Mario Mascia, Antonella Muroni, Alfredo Berardelli, Giovanni Defazio

Faculty, Staff and Students Publications

Background: Whether the traditional distinction between segmental and multifocal dystonia is clinically or scientifically useful remains unclear.

Objective: To evaluate whether idiopathic isolated adult-onset segmental and multifocal dystonia can be differentiated based on clinical features other than the contiguity of affected body regions.

Methods: We compared data on segmental and multifocal dystonia from two large dystonia databases established in the USA and Italy that used similar criteria for patient recruitment and assessment.

Results: Compared to segmental dystonia, multifocal dystonia was characterized by a higher proportion of men, a younger age at dystonia onset, a greater frequency of upper limb dystonia, …

Validation And Longitudinal Trajectory Analysis Of An Ai-Based Ecg Model For Aortic Stenosis: From Community Screening To Pre-Ta\Vr Risk Stratification, Matthew W Segar, Kaleb D Lambeth, Alexander Postalian, Stephanie Coulter, Jasen Gilge, Naveed Razvi, Mohammad Saeed, Robert D Paisley, Ambarish Pandey, Mehdi Razavi

Faculty, Staff and Students Publications

Aims: Early aortic stenosis (AS) detection remains challenging, with many patients presenting late when left ventricular dysfunction may be irreversible. We evaluated whether longitudinal AI-enhanced ECG patterns can predict outcomes years before intervention and assessed the community screening potential of the AK-AVS model.

Methods and results: We conducted two complementary analyses: (1) community validation of the AK-AVS model in 3632 cardiovascular disease-free ARIC participants, and (2) longitudinal trajectory analysis of 7860 ECGs from 2040 TAVR recipients collected up to 10 years pre-procedure. Unsupervised clustering identified distinct AK-AVS trajectories, with mortality associations assessed using Cox regression and net reclassification improvement. In …

Nasopharyngeal Microbiome-Epigenome-Wide Association Analysis In Infants With Severe Bronchiolitis, Ryohei Shibata, Yijun Li, Anat Yaskolka Meir, Sara Javornik Cregeen, Matthew Clayton Ross, Janice A Espinola, Ashley F Sullivan, Liming Liang, Kohei Hasegawa, Carlos A Camargo, Zhaozhong Zhu

Faculty, Staff and Students Publications

Background: Bronchiolitis exposes infants to both acute burdens (e.g., hospitalization in cases of severe bronchiolitis) and increased risks for chronic respiratory sequelae (e.g., asthma). In severe bronchiolitis, recent evidence suggests distinct pathobiological roles of microbiota (e.g., viruses, bacteria) and host responses influenced by genetic and epigenetic factors. However, the relationship of airway microbiota with host DNA methylation (DNAm) in infants with severe bronchiolitis remains unknown.

Methods: In a multi-center prospective cohort of 504 multi-ethnic infants with severe bronchiolitis (age < 1 year), using nasopharyngeal microbiome (exposure) and blood DNAm (outcome, Infinium MethylationEPIC BeadChip, Illumina) data within 24 h of the hospitalization, we conducted microbiome-epigenome-wide association studies (mbEWAS). We examined microbiota-associated differentially methylated CpGs (mbDMCs, false discovery rate [FDR] < 0.05), regions (mbDMRs, FDR < 0.05), and DNAm age acceleration. We also determined the associations of DNAm age acceleration with asthma development by age 6 years. Furthermore, we focused on asthma-related pathogenic bacteria-Haemophilus influenzae, Moraxella catarrhalis, and Streptococcus pneumoniae-for functional analyses by examining serum mbDMR-related proteins (Proseek Multiplex, Olink) and their enriched pathways (FDR < 0.10).

Results: Across 23 common taxa-observed at least in 25% of the infants, we identified 1 mbDMC (S. pneumoniae, cg16594639, chr20: 39528675) …

Online Tutorial On Survival Analysis For Biomarker Discovery, Jaka Kokošar, Ela Praznik, Martin Špendl, Nancy P Moreno, Alana Newell, Gad Shaulsky, Blaž Zupan

Faculty, Staff and Students Publications

In biomedicine, survival analysis addresses time-to-event data to study outcomes like patient survival and treatment response, and supports biomarker discovery. Yet, teaching this analysis is often hindered by mathematical and programming barriers. We present a structured, hands-on tutorial that goes beyond a typical online guide-offering integrated video lectures, literature, quizzes, and practical exercises. Built around Orange Data Mining, an open and free no-code visual analytics platform, the tutorial covers key concepts such as censoring, Kaplan-Meier curves, group comparisons, and biomarker discovery through real-world datasets. Organized in four pedagogical units, it progresses from basic survival data analysis to gene and gene-set …

Defining The Society Of Pediatric Liver Transplantation (Split) Research Agenda: A Delphi Consensus Project, Sharad I Wadhwani, Pooja Reddy Spector, Amy G Feldman, Katryn N Furuya, Kayla Hartjes, Chaowapong Jarasvaraparn, Beau Kelly, Stacee M Lerret, Krupa Mysore, Arti Pawaria, Philip Rosenthal, Amy Shui, Voytek Slowik, Sarah Taylor, Jennifer Vittorio, Pamela L Valentino

Faculty, Staff and Students Publications

Background: Despite major advances in surgical and medical management, only one-third of pediatric liver transplant (LT) recipients remain morbidity-free at 10 years. The Society of Pediatric Liver Transplantation (SPLIT) published a research agenda over 10 years ago, and much progress has been made since then. An updated consensus-driven SPLIT research agenda could guide future research and funding priorities. We aimed to identify and prioritize key research needs across the continuum of pediatric LT care using a modified Delphi consensus approach.

Methods: We conducted a three-round modified Delphi process among SPLIT members. In round 1, participants submitted open-ended research priorities. In …

Adenovirus Disease Following Pediatric Liver Transplantation: 10-Year Experience From A Large Pediatric Transplant Program, Anna M Banc-Husu, Sara Hassan, N Thao N Galvan, Elizabeth A Moulton, Jeremy M Schraw, Kathleen Hosek, Dana Cerminara, Flor M Munoz, Krupa Mysore

Faculty, Staff and Students Publications

Background: Human adenovirus in immunocompromised patients can be life-threatening. We describe the prevalence, clinical presentation, and treatment of adenovirus after pediatric liver transplantation at a large transplant center.

Methods: We performed a retrospective cohort study of adenovirus infection in children from 2013 to 2022. We compared incidence, clinical characteristics, and outcomes of post-transplant children by adenovirus treatment status.

Results: Adenovirus disease developed in 26% (84/320) children after liver transplant. Median age at liver transplant was 17.5 months, 48% were female; 50% had biliary atresia. Fever (53%), gastrointestinal symptoms (48%), and hepatitis (41%) were the most common clinical presentations at diagnosis. …

Relationship Between Heart Rate Variability And Sleep Among Girls And Boys With Abdominal Pain-Related Disorders Of Gut-Brain Interaction, Kendra J Kamp, Robert L Burr, Camden E Matherne, Emily Simonds, Tasha Murphy, Margaret M Heitkemper, Rona L Levy, Robert J Shulman, Miranda A L Van Tilburg

Faculty, Staff and Students Publications

Background: Children with abdominal pain-related disorders of gut-brain interaction (AP-DGBI) often experience sleep disturbances which may be linked to the autonomic nervous system. Heart rate variability (HRV) is a non-invasive measure of autonomic nervous system activity. Our aim was to examine if HRV was associated with characteristics of disturbed sleep in children with AP-DGBI in order to elucidate the underlying physiological mechanisms of disturbed sleep.

Methods: This analysis used baseline data from a randomized control trial of 156 children ages 7-12 years with AP-DGBI. HRV was measured after dinner using a Polar monitor. Sleep disturbances were evaluated using the Children's …

Interpretable Ensemble Machine Learning Prediction Of Nonadherence And The Risk Of Nonpersistence Of Targeted Disease-Modifying Antirheumatic Agents In Older Adults With Rheumatoid Arthritis, Yinan Huang, Sandeep K Agarwal

Faculty, Staff and Students Publications

Purpose: Ensemble machine learning (ML) demonstrated potential for improving predictions based on big health care data. We developed and validated interpretable ensemble ML models in evaluating the nonadherence and nonpersistence of biological or targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) in rheumatoid arthritis (RA).

Methods: This retrospective study used 5% Medicare claims data including older (aged ≥65 years) patients initiating b/tsDMARDs (the index date) between 2013 and 2019, who were diagnosed with RA (the International Classification of Diseases, Ninth and Tenth revision codes). Nonadherence, defined as medication possession ratio < 80%, was evaluated during the 12-month follow-up. Nonpersistence was defined as duration (in days) from the index date until treatment gap ≥60 days during the follow-up period, with death and insurance disenrollment as censoring criteria. Data were split into 75% for model training and 25% for evaluation, with patients' demographics and clinical characteristics measured in the baseline period. Machine learning ensemble classification models (random forest, eXtreme Gradient Boosting [XGBoost], and prediction rule ensembles [PRE]) evaluated the binary nonadherence outcome and ML ensemble survival models (random survival forest, XGBoost survival, and PRE survival) assessed time until nonpersistence. Using the testing cohort, concordance index (C-index) was reported for the ML survival models and AUC was reported for ML classification models.

Findings: We identified 3927 eligible patients with RA (mean age 73 ± …

Simulation-Free Spine Palliative Radiotherapy Enabled By Ai-Adapted Diagnostic Ct, Yiding Han, Alexander Nicola Hanania, Zaid Ali Siddiqui, Vincent Ugarte, Boran Zhou, Abdallah S R Mohamed, Piyush Pathak, Daniel Allen Hamstra, Baozhou Sun

Faculty, Staff and Students Publications

Background: Radiotherapy planning traditionally requires a dedicated simulation CT (sCT), which can introduce delays in initiating treatment. This is particularly impactful in spinal palliative care, where timely treatment is often important for symptom control and prevention of neurological deterioration. Although diagnostic CT (dCT) is frequently available earlier in the workflow, it can lead to geometric and dosimetric inaccuracies when used directly for treatment planning due to discrepancies in patient positioning, vertebral alignment, and table curvature.

Purpose: To develop and evaluate an AI-based method that transforms dCT into a simulation-equivalent planning CT (AI-pCT), enabling a clinically feasible simulation-free workflow for spinal …

Proteomic Signatures Of Cardiac Dysfunction Among People With Diabetes: The Atherosclerosis Risk In Communities Study, Justin B Echouffo-Tcheugui, Chiadi E Ndumele, Jingsha Chen, Mary R Rooney, Keenan A Walker, Pascal Schlosser, Kuni Matsushita, Morgan E Grams, Christie C Ballantyne, Ron C Hoogeveen, Eric Boerwinkle, Bing Yu, Amil M Shah, Ruth F Dubin, Rajat Deo, Yue Ren, Jerome I Rotter, Kent D Taylor, Wendy S Post, Peter Ganz, Elizabeth Selvin, Josef Coresh

Faculty, Staff and Students Publications

Background: To investigate the proteomic signatures of heart failure (HF) in diabetes. The underlying mechanisms of the elevated risk of HF in diabetes are unknown.

Methods: In 10 189 ARIC study (Atherosclerosis Risk in Communities) participants free of HF (mean age 57±7 years, 56% women, 22% Black adults, 14% with diabetes), we conducted discovery and internal validation for the associations of 4955 plasma proteins with HF by diabetes status. We performed (1) Cox regression to identify proteins associated with HF by diabetes status, (2) external validation in the MESA study (Multi-Ethnic Study of Atherosclerosis, n=5233, 633 with diabetes), and (3) …

Comparison Of Opioid Utilization In Older Adults With Rheumatoid Arthritis Before And After Initiating Biological Or Targeted Synthetic Disease-Modifying Antirheumatic Drugs, Yinan Huang, Shadi Bazzazzadehgan, Liang-Yuan Lin, Omkar Ghodke, Sebastian Bruera, Kaustuv Bhattacharya, Sujith Ramachandran, John P Bentley, Sandeep K Agarwal, Yi Yang

Faculty, Staff and Students Publications

Introduction: Opioid use is common in rheumatoid arthritis (RA) for pain management; however, evidence of opioid-associated adverse events is increasing. While biological (b) or targeted synthetic (ts) disease-modifying antirheumatic drugs (DMARDs) improve functional outcomes such as pain, little is known about their impact on opioid utilization patterns. This study investigated opioid utilization before and after b/tsDMARD initiation and assessed effect modification by sex.

Methods: Using 5% Medicare claims data from 2012 to 2020, this cohort study included older adults (≥ 65 years) with RA who initiated b/tsDMARDs (first prescription = index date), and had continuous Medicare Parts A, B, and …

Statistical Methods In Aging Research: Improving Current Practices And Embracing Emerging Approaches, Deependra K Thapa, Erik S Parker, Mounika Kandukuri, Xi Rita Wang, Thirupathi R Mokalla, Olivia C Robertson, Wasiuddin Najam, Andrew E Teschendorff, Andrew W Brown, John R Speakman, Yisheng Peng, Bernard S Gorman, Heping Zhang, Luis-Enrique Becerra-Garcia, Colby J Vorland, David B Allison

Faculty, Staff and Students Publications

Aging research relies on varied statistical methods, and applying these methods appropriately is important for scientific rigor. However, proper use of these statistical techniques is a challenge. We discuss two categories of statistical methods in aging research: (a) emerging methods requiring further validation, including techniques to examine compression of morbidity, maximum lifespan, immortal time bias, molecular aging clocks, and treatment response heterogeneity, and (b) classic and existing methods needing reconsideration and improvement, such as stepwise regression, generalized linear models, methods for accounting for clustering and nesting effects, methods for testing for group differences, methods for mediation …

Risk Factors For Acute Rejection In Pediatric Lung Transplantation And Its Impact On Graft Failure, Sophie Li, Spoorthi Kamepalli, David Moreno Mcneill, Selena Li, Abbas Rana

Faculty, Staff and Students Publications

Background: Although acute rejection is a common complication of lung transplantation, few studies have analyzed risk factors for acute rejection in pediatric lung transplant patients. The purpose of this study was to examine risk and protective factors for acute rejection in pediatric lung transplantation and its impact on graft failure.

Methods: A retrospective analysis was performed on lung transplant data for a cohort of 906 pediatric patients from the Organ Procurement and Transplantation Network (OPTN) Database between October 1, 1987, and June 30, 2023. Multivariable logistic regression was conducted to identify risk and protective factors for acute rejection, adjusting for …

Impulsivity In Cerebellar Ataxia: An Online, Multidimensional Assessment, Brooke Chasalow, Yakov Flaumenhaft, Yael De Picciotto, Chi-Ying R Lin, Leila Montaser-Kouhsari, William Saban

Faculty, Staff and Students Publications

While considered a motor control structure, the cerebellum contributes to non-motor functions, including impulsivity. However, whether it contributes to impulsivity in a domain-specific manner remains unknown. Studies on cerebellar ataxia (CA), a common model for cerebellar dysfunction, typically have small sample sizes, limiting robustness. In a multicenter cross-sectional study, we investigated the cerebellum's role in various forms of impulsivity by comparing large cohorts of CA to age- and education-matched neurotypical healthy (NH) controls. Additionally, to examine the ability to identify individuals with CA using impulsivity features alone, we developed supervised machine learning (ML) models. In experiment 1 (CA = 140, …

Lonp1 Variants Are Associated With Clinically Diverse Phenotypes, Randee E Young, Lu Qiao, Rebecca Hernan, David A Sweetser, Jessica L Waxler, Daryl A Scott, Tiana M Scott, Seema R Lalani, Mahshid S Azamian, Jill A Rosenfeld, Bret Bostwick, Lindsay C Burrage, Lance H Rodan, Bianca E Russell, Marina Dutra-Clarke, Michael Kruer, Somayeh Bakhtiarim, Hossein Darvish, David J Amor, Shamima Rahman, Karen Stals, Lisa Bradley, Susan Byrne, Leandra K Tolusso, Beatrix Wong, Laura Benedict, Kimberly Wallis, Kestutis Micke, Cindy Colson, Thomas Smol, Sabrina V Southwick, Kristen A Miller, Michelle L Kush, Odelia Chorin, Annick Rothschild, Wei Wang, Yufeng Shen, Wendy K Chung

Faculty, Staff and Students Publications

LONP1 encodes a mitochondrial protease essential for protein quality control and metabolism. Variants in LONP1 are associated with a diverse and expanding spectrum of disorders, including Cerebral, Ocular, Dental, Auricular, and Skeletal anomalies syndrome (CODAS), congenital diaphragmatic hernia (CDH), and neurodevelopmental disorders (NDD), with some individuals exhibiting features of mitochondrial encephalopathy. We report 16 novel LONP1 variants identified in 16 individuals (11 with NDD, 5 with CDH), further expanding the clinical spectrum. Structural mapping of disease-associated missense variants revealed phenotype-specific clustering, with CODAS variants enriched in the proteolytic chamber and NDD variants more broadly distributed. CODAS is caused by biallelic …