Medical Specialties Commons^™

Continued Positive Job Search Experience For New Pathologists Seeking First Employment During The Covid-19 Pandemic (2020-2022), Julie Katz Karp, Amanda Lofgreen, Kristen Johnson, Melissa R George, Stephanie Barak, Bronwyn H Bryant, Mary P Berg, John M Childs, Barbara E C Knollman-Ritschel, Victor G Prieto, Kristie L White, Cindy B Mccloskey

Faculty, Staff and Student Publications

Context.—: As pathologists retire and leave the field, it is critical to accurately capture employment trends for new-in-practice pathologists. There is always interest in the job market for newly graduated pathology trainees and prospective pathology trainees, but it is unclear how the COVID-19 pandemic may have affected the job search experience.

Objective.—: To provide an update on trends gleaned from a survey of pathology graduates' job search experiences during the COVID-19 pandemic.

Design.—: We analyzed data from an annual job search survey sent by the College of American Pathologists Graduate Medical Education Committee between 2020 and 2022 to College of …

Partial Agonism In Heteromeric Gluk2/Gluk5 Kainate Receptor, Nabina Paudyal, Anindita Das, Elisa Carrillo, Vladimir Berka, Vasanthi Jayaraman

Faculty, Staff and Student Publications

Kainate receptors are a subtype of ionotropic glutamate receptors that form transmembrane channels upon binding glutamate. Here, we have investigated the mechanism of partial agonism in heteromeric GluK2/K5 receptors, where the GluK2 and GluK5 subunits have distinct agonist binding profiles. Using single-molecule Förster resonance energy transfer, we found that at the bi-lobed agonist-binding domain, the partial agonist AMPA-bound receptor occupied intermediate cleft closure conformational states at the GluK2 cleft, compared to the more open cleft conformations in apo form and more closed cleft conformations in the full agonist glutamate-bound form. In contrast, there is no significant difference in cleft closure …

Mitochondrial-Targeted Therapies In Traumatic Brain Injury: From Bench To Bedside, Sidra Tabassum, Silin Wu, Chang-Hun Lee, Bosco Seong Kyu Yang, Aaron M Gusdon, Huimahn A Choi, Xuefang S Ren

Faculty, Staff and Student Publications

Traumatic brain injury (TBI) is a leading cause of morbidity and mortality worldwide, with limited effective therapeutic options currently available. Recent research has highlighted the pivotal role of mitochondrial dysfunction in the pathophysiology of TBI, making mitochondria an attractive target for therapeutic intervention. This review comprehensively examines advancements in mitochondrial-targeted therapies for TBI, bridging the gap from basic research to clinical applications. We discuss the underlying mechanisms of mitochondrial damage in TBI, including oxidative stress, impaired bioenergetics, mitochondrial dynamics, and apoptotic pathways. Furthermore, we highlight the complex interplay between mitochondrial dysfunction, inflammation, and blood-brain barrier (BBB) integrity, elucidating how these …

Anti-Cd137 Agonist Antibody-Independent And Clinically Feasible Preparation Of Tumor-Infiltrating Lymphocytes From Soft Tissue Sarcoma And Osteosarcoma, Yining Jin, Zhiliang Jia, Xueqing Xia, Nancy B Gordon, Joseph A Ludwig, Neeta Somaiah, Shulin Li

Faculty, Staff and Student Publications

Background: Tumor infiltrating lymphocytes (TILs) therapy has been proved for treatment of metastatic melanoma and is under investigation for other types of solid tumors. However, these successes are threatened by discontinued supply of GMP-grade anti-CD137 agonist, a key TIL preparation reagent. Therefore, exploring a GMP-adherent method for expanding endogenous TILs without anti-CD137 agonist is urgent. Toward this end, we aimed to establish an anti-CD137-independent and clinically feasible TIL expansion protocol to prepare TILs from under investigated sarcoma tumors.

Methods: We collected resected tumors from patients and cut tissues into fragments. We used IL-2 and T-cell activator CD3/CD28 without anti-CD137 agonist …

Combining Biology-Based And Mri Data-Driven Modeling To Predict Response To Neoadjuvant Chemotherapy In Patients With Triple-Negative Breast Cancer, Casey E Stowers, Chengyue Wu, Zhan Xu, Sidharth Kumar, Clinton Yam, Jong Bum Son, Jingfei Ma, Jonathan I Tamir, Gaiane M Rauch, Thomas E Yankeelov

Faculty, Staff and Student Publications

Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype associated with limited targeted treatment options, heterogeneous treatment response, and high risk of early recurrence. Artificial intelligence (AI) has rapidly emerged as a powerful tool to address key clinical challenges in TNBC across diagnosis, treatment response assessment, and prognosis. Diagnostic and staging challenges persist due to variable imaging features in TNBC and limitations in conventional modalities, increasing the risk of delayed detection. Predicting response to neoadjuvant systemic therapy remains difficult, as patient responses are heterogeneous, and existing clinical markers provide limited early predictive value. Prognostication in TNBC is similarly constrained …

Development Of An H&E On-Block Staining Technique For Collagen Detection In Cryo-Fluorescence Tomography Imaging Of Frozen Breast Tissue Samples, Erin P Snoddy, Tien T Tang, Natalie Fowlkes, Thomas Huynh, Kari J Brewer Savannah, Alejandro Contreras, Gregory Reece, Kristy K Brock

Faculty, Staff and Student Publications

Hematoxylin and eosin (H&E) staining is widely considered to be the gold-standard diagnostic tool for histopathology evaluation. However, the fatty nature of some tissue types, such as breast tissue, presents challenges with cryo-sectioning, often resulting in artifacts that can make histopathologic interpretation and correlation with other imaging modalities virtually impossible. We present an optimized on-block H&E staining technique that improves contrast for identifying collagenous stroma during cryo-fluorescence tomography (CFT) sectioning. In this prospective study, we embedded four breast specimens with confirmed ligaments from a bilateral mastopexy in an optimal cutting temperature block. Two of the samples were processed on a …

Wnt7a, Naomi M Calhoun, Richard R Behringer

Faculty, Staff and Student Publications

WNT7A regulates numerous developmental processes. It can activate canonical and non-canonical signaling depending on context. It is expressed in the developing central nervous system, limb buds, reproductive organs, and other tissues. Spontaneous and targeted Wnt7a mutations in mouse models resulted in abnormal limbs, defects in male and female reproductive tract organs, infertility, and defects in cerebellar axon remodeling. In zebrafish, wnt7aa mutants exhibited neurogenesis and angiogenesis defects in the central nervous system. In humans, recessive WNT7A missense and nonsense mutations resulted in severe limb and pelvic bone defects. Alterations in WNT7A expression correlated with multiple types of cancer.

Disparities In Breast Cancer Detection Modalities And Outcomes Among Geriatric Female Cancer Patients, Zhaoli Liu, Mathilda Nicot-Cartsonis, Biai D E Digbeu, Daoqi Gao, Sharon H Giordano, Yong-Fang Kuo

Faculty, Staff and Student Publications

This study examined racial and geographic disparities in breast cancer detection modalities (screening-, diagnostic-, or non-mammography) with cancer stage and mortality. A retrospective cohort study was conducted using Texas Cancer Registry-Medicare linkage data for geriatric women. Cancers detected through screening and diagnostic mammography had 43 % (95 % CI, 39 %-46 %, p < .0001) and 31 % (95 % CI, 27 %-35 %, p < .0001) lower all-cause mortality, and 49 % (95 % CI, 41 %-54 %, p < .0001) and 37 % (95 % CI, 32 %-43 %, p < .0001) lower cancer-specific mortality, respectively, compared to non-mammography-detected breast cancers. Patients from rural areas were 17 % (95 % CI, 1.06 - 1.29) more likely to be diagnosed with mid- (p = .0023) and advanced stage (p = .003) cancers compared to their urban counterparts. Racial or geographic disparities in cancer detection modalities with associated mortality no longer exist after adjusting for covariates. Healthcare professionals can leverage these findings to promote rural cancer health equity.

A Cytotoxic Peptide-Drug Conjugate For Tumor-Specific Delivery Of Co-Injected Molecules, Norio Miyamura, Chisato M Yamazaki, Yasuaki Anami, Kyoji Tsuchikama, Kazuki N Sugahara

Faculty, Staff and Student Publications

An ideal cancer therapy enhances anti-tumor effects while minimizing side effects. iRGD, a non-cytotoxic peptide that activates a tumor-specific molecular transport machinery, promotes the penetration of co-injected drugs into tumor tissues. Clinical trials have demonstrated its potential as a tumor-specific delivery scaffold and potentiator of anti-cancer agents. In this study, we synthesized an iRGD conjugate containing monomethyl auristatin F (MMAF), a highly toxic antimitotic agent, and characterized its dual function as a tumor-specific cytotoxic agent and co-injected drug delivery scaffold. The iRGD-MMAF conjugate internalized and killed cultured tumor cells in an αv integrin-dependent manner. When injected systemically, iRGD-MMAF homed selectively …

Integrating Multi-Omics Data To Uncover Prostate Tissue Dna Methylation Biomarkers And Target Genes For Prostate Cancer Risk, Shuai Liu, Jingjing Zhu, Dylan Green, Hua Zhong, Quan Long, Chong Wu, Liang Wang, Youping Deng, Lang Wu

Faculty, Staff and Student Publications

Previous studies have indicated that specific CpG sites may be linked to the risk of prostate cancer (PCa) by regulating the expression of PCa target genes. However, most existing studies aim to identify DNA methylation (DNAm) biomarkers through blood tissue genetic instruments, which impedes the identification of relevant biomarkers in prostate tissue. To identify PCa risk-associated CpG sites in prostate tissue, we established genetic prediction models of DNAm levels using data from normal prostate samples in the GTEx (N = 108) and assessed associations between genetically predicted DNAm in prostate and PCa risk by studying 122,188 cases and 604,640 controls. …

Three-Dimensional Deep Learning Normal Tissue Complication Probability Model To Predict Late Xerostomia In Patients With Head And Neck Cancer, Hung Chu, Suzanne P M De Vette, Hendrike Neh, Nanna M Sijtsema, Roel J H M Steenbakkers, Amy Moreno, Johannes A Langendijk, Peter M A Van Ooijen, Clifton D Fuller, Lisanne V Van Dijk

Faculty, Staff and Student Publications

Purpose: Conventional normal tissue complication probability (NTCP) models for patients with head and neck cancer are typically based on single-value variables, which, for radiation-induced xerostomia, are baseline xerostomia and mean salivary gland doses. This study aimed to improve the prediction of late xerostomia by using 3-dimensional information from radiation dose distributions, computed tomography imaging, organ-at-risk segmentations, and clinical variables with deep learning (DL).

Methods and materials: An international cohort of 1208 patients with head and neck cancer from 2 institutes was used to train and twice validate DL models (deep convolutional neural network, EfficientNet-v2, and ResNet) with 3-dimensional dose distribution, …

Protein Marker-Dependent Drug Discovery Targeting Breast Cancer Stem Cells, Ashley V. Huang, Yali Kong, Kan Wang, Milton L. Brown, David Mu

Department of Biomedical and Translational Sciences Faculty Publications

Breast cancer is one of the most common cancers globally. Unfortunately, many patients with breast cancer develop resistance to chemotherapy and tumor recurrence, which is primarily driven by breast cancer stem cells (BCSCs). BCSCs behave like stem cells and can self-renew and differentiate into mature tumor cells, enabling the cancer to regrow and metastasize. Key markers like CD44 and aldehyde dehydrogenase-1 (ALDH1), along with pathways like Wingless-related integration site (Wnt), Notch, and Hedgehog, are critical to regulating this stem-like behavior of BCSCs and, thus, are being investigated as targets for various new therapies. This review summarizes marker-dependent strategies for targeting …

Reproducibility And Repeatability Of 18f-(2s, 4r)-4-Fluoroglutamine Pet Imaging In Preclinical Oncology Models, Gregory D Ayers, Allison S Cohen, Seong-Woo Bae, Xiaoxia Wen, Alyssa Pollard, Shilpa Sharma, Trey Claus, Adria Payne, Ling Geng, Ping Zhao, Mohammed Noor Tantawy, Seth T Gammon, H Charles Manning

Faculty, Staff and Student Publications

Introduction: Measurement of repeatability and reproducibility (R&R) is necessary to realize the full potential of positron emission tomography (PET). Several studies have evaluated the reproducibility of PET using 18F-FDG, the most common PET tracer used in oncology, but similar studies using other PET tracers are scarce. Even fewer assess agreement and R&R with statistical methods designed explicitly for the task. 18F-(2S, 4R)-4-fluoro-glutamine (18F-Gln) is a PET tracer designed for imaging glutamine uptake and metabolism. This study illustrates high reproducibility and repeatability with 18F-Gln for in vivo research.

Methods: Twenty mice bearing colorectal cancer cell line xenografts were injected with ~9 …

Patterns Of Loco-Regional Progression And Patient Outcomes After Definitive-Dose Radiation Therapy For Anaplastic Thyroid Cancer, Julianna K Bronk, Alexander Augustyn, Abdallah S R Mohamed, C David Fuller, Adam S Garden, Amy C Moreno, Anna Lee, William H Morrison, Jack Phan, Jay P Reddy, David I Rosenthal, Michael T Spiotto, Steven J Frank, Ramona Dadu, Naifa Busaidy, Mark Zafereo, Jennifer R Wang, Anastasios Maniakas, Renata Ferrarotto, Priyanka C Iyer, Maria E Cabanillas, G Brandon Gunn

Faculty, Staff and Student Publications

Background: The aim of this study is to characterize the patterns of loco-regional progression (LRP) and outcomes after definitive-dose intensity modulated radiation therapy (IMRT) for anaplastic thyroid cancer (ATC) with macroscopic neck disease at the time of IMRT.

Methods: Disease/treatment characteristics and outcomes for patients with unresected or incompletely resected ATC who received IMRT (≥45 Gy) were retrospectively reviewed. For those with LRP after IMRT, progressive/recurrent gross tumor volumes (rGTV) were contoured on diagnostic CTs and co-registered with initial planning CTs using deformable image registration. rGTVs were classified based on established spatial/dosimetric criteria.

Results: Forty patients treated between 2010-2020 formed …

Selective Inhibition Of Canonical Stat3 Signaling Suppresses K-Ras Mutant Lung Tumorigenesis And Reinvigorates Anti-Tumor Immunity, Michael J Clowers, Zahraa Rahal, Sung-Nam Cho, Avantika Krishna, Bo Yuan, Leticia G Hamana Zorrilla, T Kris Eckols, Moses M Kasembeli, Samuel Liu, Stephen Peng, Marco Ramos-Castaneda, Annamarie L Thompson, Carlos Ignacio Rodriguez Reyna, Katherine E Larsen, Maria T Grimaldo, Shanshan Deng, Nastaran Karimi, Cody Chou, Walter V Velasco, Melody Zarghooni, Sayan Alekseev, Luisa M Solis Soto, Edwin J Ostrin, Humam Kadara, Suhendan Ekmekcioglu, David J Tweardy, Seyed Javad Moghaddam

Faculty, Staff and Student Publications

Introduction: K-ras mutant lung adenocarcinoma (KM-LUAD) is a difficult-to-treat cancer subtype in which chronic inflammation pervades the tumor immune microenvironment (TIME). Pro-inflammatory pathways dampen the response to treatments, including immune checkpoint inhibitors, necessitating therapies that target this inflammatory signaling network in the TIME. One of the lynchpins of chronic inflammation in KM-LUAD is signal transducer and activator of transcription 3 (STAT3).

Methods: Here, we tested the anti-tumor and early immunotherapeutic efficacy of TTI-101, a selective small-molecule inhibitor of canonical STAT3 signaling, in a K-rasG12D mutant lung cancer mouse model (CC-LR).

Results: Treatment of CC-LR mice with TTI-101 resulted in reduced …

Dedifferentiated Liposarcomas Treated With Immune Checkpoint Blockade: The Md Anderson Experience, Madeline B Torres, Cheuk Hong Leung, Marianne Zoghbi, Rossana Lazcano, Davis Ingram, Khalida Wani, Emily Z Keung, M Alejandra Zarzour, Christopher P Scally, Kelly K Hunt, Anthony Conley, Andrew J Bishop, B Ashleigh Guadagnolo, Ahsan Farooqi, Devarati Mitra, Alison K Yoder, Michael S Nakazawa, Dejka Araujo, Andrew Livingston, Ravin Ratan, Shreyaskumar Patel, Vinod Ravi, Alexander J Lazar, Christina L Roland, Neeta Somaiah, Elise F Nassif Haddad

Faculty, Staff and Student Publications

Background: Dedifferentiated liposarcoma (DDLPS) is one of the most common types of soft tissue sarcoma (STS) characterized by liposarcomatous differentiation and a predilection for the retroperitoneum. Despite the growing number of histology-specific immune checkpoint blockade (ICB) trials in STS, it is still difficult to identify the radiographic objective response rate (ORR) for DDLPS in the real world setting. This study aimed to evaluate the ORR and survival of patients with DDLPS treated with ICB at a single center.

Methods: We conducted a retrospective study of 31 patients with pathologically confirmed DDLPS treated with ICB at MD Anderson Cancer Center between …

Inhibition Of Nitric Oxide Synthase Transforms Carotid Occlusion-Mediated Benign Oligemia Into De Novo Large Cerebral Infarction, Ha Kim, Jinyong Chung, Jeong Wook Kang, Dawid Schellingerhout, Soo Ji Lee, Hee Jeong Jang, Inyeong Park, Taesu Kim, Dong-Seok Gwak, Ji Sung Lee, Sung-Ha Hong, Kang-Hoon Je, Hee-Joon Bae, Joohon Sung, Eng H Lo, James Faber, Cenk Ayata, Dong-Eog Kim

Faculty, Staff and Student Publications

No abstract provided.

Coldstartcpi: Induced-Fit Theory-Guided Dti Predictive Model With Improved Generalization Performance, Qichang Zhao, Haochen Zhao, Linyuan Gao, Kai Zheng, Yajie Li, Qiao Ling, Jing Tang, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Predicting compound-protein interactions (CPIs) plays a crucial role in drug discovery. Traditional methods, based on the key-lock theory and rigid docking, often fail with novel compounds and proteins due to their inability to account for molecular flexibility and the high sparsity of CPI data. Here, we introduce ColdstartCPI, a framework inspired by induced-fit theory, which leverages unsupervised pre-training features and a Transformer module to learn both compound and protein characteristics. ColdstartCPI treats proteins and compounds as flexible molecules during inference, aligning with biological insights. It outperforms state-of-the-art sequence-based models, particularly for unseen compounds and proteins, and shows strong generalization capability …

Clinical Significance Of "S" Isoform Of Dclk1 In Different Gastric Cancer Subtypes Using Newly Produced Monoclonal Antibody, Mahdieh Razmi, Ali-Ahmad Bayat, Nafiseh Mortazavi, Elham Kalantari, Leili Saeednejad Zanjani, Sima Saki, Roya Ghods, Zahra Madjd

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Background

Materials and methods

Follow-Up Adherence After Teleretinal Screening For Diabetic Retinopathy, Paul D Chamberlain, Rishabh C Date, Kevin L Shen, Giovanni A Campagna, Linda B Piller, Yvonne I Chu, Christina Y Weng

Faculty, Staff and Students Publications

Aim: Determine the follow-up rate for patients referred following an abnormal teleretinal imaging (TRI) screening and examine patient characteristics predictive of follow-up nonadherence.

Materials and methods: A cross-sectional study of patients screened between August 2014 and July 2016 in the Harris Health System (HHS) in Houston, TX. All diabetic patients referred for in-person examination, who had data for all study variables, and who did not have established ophthalmic care in the HHS within the previous 2 years were included. Data collected included TRI findings, clinic location, age, race, gender, hemoglobin A1C (HbA1c), and insulin use. The primary outcome was whether …

Leveraging Human Microbiomes For Disease Prediction And Treatment, Henok Ayalew Tegegne, Tor C Savidge

Faculty, Staff and Students Publications

The human microbiome consists of diverse microorganisms that inhabit various body sites. As these microbes are increasingly recognized as key determinants of health, there is significant interest in leveraging individual microbiome profiles for early disease detection, prevention, and drug efficacy prediction. However, the complexity of microbiome data, coupled with conflicting study outcomes, has hindered its integration into clinical practice. This challenge is partially due to demographic and technological biases that impede the development of reliable disease classifiers. Here, we examine recent advances in 16S rRNA and shotgun-metagenomics sequencing, along with bioinformatics tools designed to enhance microbiome data integration for precision …

Atherogenic Lipoproteins Associate With Loss Of Glycemic Control In Youth-Onset Type 2 Diabetes: Results From The Today Study, Lorraine E Levitt Katz, Samuel S Gidding, James D Otvos, Kimberly L Drews, Fida Bacha, Steven Willi, Santica Marcovina, Siripoom Mckay, Ruth S Weinstock, Today Study Group

Faculty, Staff and Students Publications

Background: Type 2 diabetes (T2D) in adolescents is associated with an unfavorable lipid profile, but lipoprotein particle subspecies and branched-chain amino acid (BCAA) data are scarce.

Objective: To evaluate lipoprotein particle distributions, lipoprotein insulin resistance index (LP-IR), and BCAA levels longitudinally and their relationships with sex, race/ethnicity, treatment, and loss of glycemic control in adolescents with youth-onset T2D.

Methods: Participants from the TODAY study (n = 348) had samples analyzed yearly for glycated hemoglobin and nuclear magnetic resonance lipoprotein and BCAA assessments.

Results: At baseline, participants with T2D were 13.7 years old with T2D, obesity, and from racial and ethnic …

Impact Of Elevated Serum Triglycerides On Children With Acute Recurrent Or Chronic Pancreatitis From Insppire-2, Zachary M Sellers, Matthew J Giefer, Fuchenchu Wang, Gretchen A Cress, Maisam A Abu-El-Haija, Ankur Chugh, Reuven Z Cohen, Elissa M Downs, Douglas S Fishman, A Jay Freeman, Cheryl E Gariepy, Tanja Y Gonska, Amit S Grover, Doug Lindblad, Quin Y Liu, Asim Maqbool, Jacob A Mark, Brian A Mcferron, Megha S Mehta, Veronique D Morinville, Kenneth Ng, Robert A Noel, Chee Y Ooi, Emily R Perito, Madhura Y Phadke, Wenly Ruan, Sarah Jane Schwarzenberg, David M Troendle, Michael Wilschanski, Yuhua Zheng, Ying Yuan, Mark E Lowe, Aliye Uc, Consortium For The Study Of Chronic Pancreatitis, Diabetes And Pancreatic Cancer

Faculty, Staff and Students Publications

Objective: To determine if mild-moderate hypertriglyceridemia (HTG) is associated with increased development of chronic pancreatitis (CP) or pancreatitis-associated complications in children with acute recurrent or CP.

Study design: Longitudinal data from the INternational Study group of Pediatric Pancreatitis: In search for a cuRE-2 (INSPPIRE-2) cohort of children with acute recurrent or CP (n = 559) were analyzed. Subjects were divided into normal triglycerides (< 150 mg/dL; 1.7 mmol/L), any HTG (≥150 mg/dL; ≥1.7 mmol/L), mild-moderate HTG (150-499 mg/dL; 1.7-5.6 mmol/L), moderate HTG (500-999 mg/dL; 5.6-11.3 mmol/L), and severe HTG groups (≥1000 mg/dL; ≥11.3 mmol/L), based on highest serum triglyceride value. Laboratory, imaging, pancreatitis and hospital events, complications, and quality of life data were analyzed.

Results: In children with acute recurrent or CP and HTG, there was no increase in the number of pancreatitis attacks per person-years, nor an increase in CP prevalence. However, HTG severity was associated with increased pancreatic …

Refinement Of A Published Gene-Physical Activity Interaction Impacting Hdl-Cholesterol: Role Of Sex And Lipoprotein Subfractions, Kenneth E Westerman, Tuomas O Kilpeläinen, Magdalena Sevilla-Gonzalez, Margery A Connelly, Alexis C Wood, Michael Y Tsai, Kent D Taylor, Stephen S Rich, Jerome I Rotter, James D Otvos, Amy R Bentley, Samia Mora, Hugues Aschard, D C Rao, Charles Gu, Daniel I Chasman, Alisa K Manning

Faculty, Staff and Students Publications

Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C). We explored this GxE in the Women’s Genome Health Study (WGHS; N=23,294; the strongest cohort-specific signal in the original meta-analysis), the UK …

Poststroke Impulsivity: A Narrative Review, Melissa B Jones, Dakota E Broadway, Malena Gimenez-Zapiola, Ricardo E Jorge

Faculty, Staff and Students Publications

In this narrative review, the authors examine the multidimensional nature and presentations of impulsivity after stroke. Impulsivity manifests as immediate or premature responses, impaired delayed gratification, perseverance despite punishment, and other displays of impaired emotional and behavioral regulation. The literature on the assessments, outcomes, and treatment of patients with these various manifestations after a cerebrovascular injury is reviewed. Findings from case reports indicate that poststroke impulsivity may manifest across neurobehavioral syndromes that are not well defined in the psychiatric nomenclature, such as alien hand syndrome and atypical impulse control disorders. Overall, impulse control disorders appear to be rare poststroke. Therapeutic …

Treatment Fidelity And Outcome In Cbt For Youth With Autism: The Meya Fidelity Scale, Bryce D Mcleod, Jeffrey J Wood, Jennifer Cecilione Herbst, Danielle Dunn, Philip C Kendall, Eric A Storch, An Chuen Cho, Kashia A Rosenau

Faculty, Staff and Students Publications

Objective: Assessing treatment fidelity in effectiveness research is critical to interpreting study findings. This paper details the development and initial psychometric evaluation of the Modular Evidence-Based Practices for Youth with Autism Fidelity Scale (MEYA-FS) designed to support the assessment of cognitive-behavioral treatments for youth with autism in effectiveness research.

Method: Recorded treatment sessions (N = 338) were randomly selected from 77 youth (M age = 9.65 years, SD = 1.87; 50.67% White; 85.33% male) who received the Schema, Emotion, and Behavior-Focused Therapy for Children (SEBASTIEN) (n = 51) or Coping Cat (n = 24) program.

Results: …

Shaping The Future Of "Cardio-Kidney-Metabolic" Health: Insights From The Texas Heart Institute's 2024 Cardiometabolic Syndrome Conference, Arjun Raghuram, Keri Sprung, Stephanie Coulter, Joseph G Rogers

The Texas Heart Institute Journal

At the Texas Heart Institute's 2024 Cardiometabolic Syndrome Conference, held on August 23, 2024, experts from diverse academic fields spoke about novel initiatives for addressing the worsening projections for cardiometabolic syndrome. Four major areas in which innovation is ongoing were highlighted: technology, policy, population health, and lifestyle and behavioral modification. This article presents a brief contextualization, summary, and analysis of the novel initiatives being implemented in each of these 4 areas to address cardiometabolic syndrome. Despite alarming projections, cardiometabolic syndrome presents a unique opportunity for innovators to drive change through collaborative, multidisciplinary efforts.

Drosophila Models Uncover Substrate Channeling Effects On Phospholipids And Sphingolipids In Peroxisomal Biogenesis Disorders, Michael F Wangler, Yu-Hsin Chao, Mary Roth, Ruth Welti, James A Mcnew

Duncan NRI Faculty and Staff Publications

Peroxisomal Biogenesis Disorders Zellweger Spectrum (PBD-ZSD) disorders are a group of autosomal recessive defects in peroxisome formation that produce a multi-systemic disease presenting at birth or in childhood. Well documented clinical biomarkers such as elevated very long chain fatty acids (VLCFA) are key biochemical diagnostic findings in these conditions. Additional, secondary biochemical alterations such as elevated very long chain lysophosphatidylcholines are allowing newborn screening for peroxisomal disease. In addition, a more widespread impact on metabolism and lipids is increasingly being documented by metabolomic and lipidomic studies. Here we utilize Drosophila models of pex2 and pex16 as well as human plasma …

The Infected Diabetic Foot: Incidence And Risk Factors For Dehiscence After Surgery For Diabetic Foot Infections, Lawrence A Lavery, Mario C Reyes, Bijan Najafi, Tyler L Coye, Jayer Chung, Michael C Siah, Arthur N Tarricone

Center on Aging Staff Publications

Our objective was to assess the incidence, risk factors and clinical outcomes of dehiscence after foot surgery in diabetic patients. We used pooled patient‐level data from two randomised clinical trials with 240 diabetic patients who required foot surgery for infections. Most patients (n = 180, 75.0%) had surgical wound closure. We defined dehisced surgical wounds (DSW) when the surgical site was not completely epithelialized with no drainage after sutures/staples were removed with a 2‐week validation of healing. We evaluated the time to heal, re‐infection, re‐ulceration, hospital admissions and amputations. Moderate and severe infection was based on criteria of the …

Sequelae And Surgical Management Of Giant Cardiac Myxoma, Norvin Hernandez, Michael Dileo, Christopher K Wong, Mahboob Alam

The Texas Heart Institute Journal

Cardiac myxomas are a rare phenomenon within the general population, and although there are reports of them, giant myxomas are not common in the medical literature. This report presents a case of a giant left atrial cardiac myxoma in a 57-year-old female patient who was largely asymptomatic until she presented with a diffuse thromboembolic stroke. This case report highlights the importance of surgical management of cardiac myxomas and discusses the difference in open vs minimally invasive surgical resection of giant cardiac myxomas.