Digital Commons Network^™

Development Of A Multi-Institutional Dataset To Validate A Novel Inflammatory Breast Cancer Diagnostic Score, Filipa Lynce, Samuel M Niman, Megumi Kai, Sean Ryan, Elizabeth Troll, Li Li, Kathy D Miller, Reshma Jagsi, Ginny Mason, Beth A Overmoyer, H T Carisa Le-Petross, Faina Nakhlis, Savitri Krishnamurthy, Beth T Harrison, Susie X Sun, Eren D Yeh, Jennifer R Bellon, Laura E Warren, Michael C Stauder, Meredith M Regan, Wendy A Woodward

Faculty, Staff and Student Publications

Background: Susan G. Komen, the Inflammatory Breast Cancer (IBC) Research Foundation, and the Milburn Foundation convened patient advocates, clinicians, and researchers to propose novel quantitative scoring rubrics for IBC diagnosis. In this study, we developed a multi-institutional clinical dataset to test and validate the proposed scoring system.

Methods: IBC (N = 988) and non-IBC (N = 332) cases were identified at 2 institutions with dedicated multidisciplinary IBC programs. The non-IBC cohort included consecutive cT4b and cT4c patients. Standard operating procedures (SOPs) were developed for all ambiguous findings and languages. Three different methods were used for the imputation of missing data, …

White Matter Abnormalities And Cognition In Aging And Alzheimer Disease, Christopher Peter, Aditi Sathe, Niranjana Shashikumar, Kimberly R Pechman, Abigail W Workmeister, T Bryan Jackson, Yuankai Huo, Shubhabrata Mukherjee, Jesse Mez, Logan C Dumitrescu, Katherine A Gifford, Corey J Bolton, Leslie S Gaynor, Shannon L Risacher, Lori L Beason-Held, Yang An, Konstantinos Arfanakis, Guray Erus, Christos Davatzikos, Duygu Tosun-Turgut, Mohamad Habes, Di Wang, Arthur W Toga, Paul M Thompson, Panpan Zhang, Kurt G Schilling, Marilyn Albert, Walter Kukull, Sarah A Biber, Bennett A Landman, Barbara B Bendlin, Sterling C Johnson, Julie Schneider, Lisa L Barnes, David A Bennett, Angela L Jefferson, Susan M Resnick, Andrew J Saykin, Paul K Crane, Michael L Cuccaro, Timothy J Hohman, Derek B Archer, Dimitrios Zaras, Yisu Yang, Alaina Durant, Praitayini Kanakaraj, Michael E Kim, Chenyu Gao, Nancy R Newlin, Karthik Ramadass, Nazirah Mohd Khairi, Zhiyuan Li, Tianyuan Yao, Seo-Eun Choi, Brandon Klinedinst, Michael L Lee, Phoebe Scollard, Emily H Trittschuh, Elizabeth A Sanders

Faculty, Staff and Student Publications

Importance: There has yet to be a large-scale study quantifying the association between white matter microstructure and cognitive performance and decline in aging and Alzheimer disease (AD).

Objective: To investigate the associations between tract-specific white matter microstructure and cognitive performance and decline in aging and AD-related cognitive impairment.

Design setting and participants: This prognostic study of aging and AD, a secondary data analysis of multisite cohort studies, acquired data from 9 cohorts between September 2002 and November 2022. Participants were eligible if they had diffusion-weighted magnetic resonance imaging (dMRI) data, domain-specific cognitive composite z scores, demographic and clinical data, were …

Bard: A Seamless Two-Stage Dose Optimization Design Integrating Backfill And Adaptive Randomization, Yixuan Zhao, Rachael Liu, Jianchang Lin, Ying Yuan

Faculty, Staff and Student Publications

One common approach for dose optimization is a two-stage design, which initially conducts dose escalation to identify the maximum tolerated dose, followed by a randomization stage where patients are assigned to two or more doses to further assess and compare their risk-benefit profiles to identify the optimal dose. A limitation of this approach is its requirement for a relatively large sample size. To address this challenge, we propose a seamless two-stage design, BARD (Backfill and Adaptive Randomization for Dose Optimization), which incorporates two key features to reduce sample size and shorten trial duration. The first feature is the integration of …

Ppp2r1a Mutations Portend Improved Survival After Cancer Immunotherapy, Yibo Dai, Anne Knisely, Mitsutake Yano, Minghao Dang, Emily M Hinchcliff, Sanghoon Lee, Annalyn Welp, Manoj Chelvanambi, Matthew Lastrapes, Heng Liu, Zhe Yuan, Chen Wang, Hao Nie, Stephanie Jean, Luis J Montaner, Jiakai Hou, Ami Patel, Shrina Patel, Bryan Fellman, Ying Yuan, Baohua Sun, Renganayaki Krishna Pandurengan, Edwin Roger Parra Cuentas, Joseph Celestino, Yan Liu, Jinsong Liu, R Tyler Hillman, Shannon N Westin, Anil K Sood, Pamela T Soliman, Aaron Shafer, Larissa A Meyer, David M Gershenson, David Vining, Dhakshinamoorthy Ganeshan, Karen Lu, Jennifer A Wargo, Weiyi Peng, Rugang Zhang, Linghua Wang, Amir A Jazaeri

Faculty, Staff and Student Publications

Immune checkpoint blockade (ICB) therapy is effective against many cancers, although resistance remains a major issue and new strategies are needed to improve clinical outcomes1-5. Here we studied ICB response in a cohort of patients with ovarian clear cell carcinoma-a cancer type that poses considerable clinical challenges and lacks effective therapies6-8. We observed significantly prolonged overall survival and progression-free survival in patients with tumours with PPP2R1A mutations. Importantly, our findings were validated in additional ICB-treated patient cohorts across multiple cancer types. Translational analyses from tumour biopsies demonstrated enhanced IFNγ signalling, and the presence of tertiary lymphoid structures at the baseline, …

Film Measurements Of Kilovoltage X-Ray Percentage Depth Doses For Different Energies And Field Sizes, Tze Yee Lim, Dershan Luo, Jamshid Moradi-Kurdestany, Xin Wang, Ramesh Tailor

Faculty, Staff and Student Publications

Objectives: Kilovoltage x-ray therapy, which includes superficial x-rays and orthovoltage x-rays, is particularly suited for treatments near the skin surface. Radiation dose deposition at depth is typically characterized by percentage depth dose (PDD) curves. However, PDD data are difficult to obtain in kilovoltage x-ray therapy, hence clinics often rely on British Journal of Radiology Supplement 25 (BJR-25) archival data. This study measured PDD for different energies and field sizes on the Xstrahl 300 kilovoltage x-ray therapy unit for comparison with BJR-25 data.

Methods: We irradiated EBT3 film in water using different energy and field size combinations, then, compared the acquired …

Large-Scale Genome-Wide Analyses Of Stuttering, Hannah G Polikowsky, Alyssa C Scartozzi, Douglas M Shaw, Dillon G Pruett, Hung-Hsin Chen, Lauren E Petty, Alexander S Petty, Emily J Lowther, Shu-Hsien Cho, Yao Yu, Sahar Mozaffari, Christy L Avery, Kathleen Mullan Harris, Reyna L Gordon, Janet M Beilby, Kathryn Z Viljoen, Robin M Jones, Chad D Huff, Heather M Highland, Shelly Jo Kraft, Jennifer E Below

Faculty, Staff and Student Publications

Developmental stuttering is a highly heritable, common speech condition characterized by prolongations, blocks and repetitions of speech. Although stuttering is highly heritable and enriched within families, the genetic architecture is largely understudied. We reasoned that there are both shared and distinct genetic variants impacting stuttering risk within sex and ancestry groups. To test this idea, we performed eight primary genome-wide association analyses of self-reported stuttering that were stratified by sex and ancestry, as well as secondary meta-analyses of more than one million individuals (99,776 cases and 1,023,243 controls), identifying 57 unique loci. We validated the genetic risk of self-reported stuttering …

Computed Tomography Radiomics-Based Cross-Sectional Detection Of Mandibular Osteoradionecrosis In Head And Neck Cancer Survivors, Serageldin Kamel, Laia Humbert-Vidan, Zaphanlene Kaffey, Sarah Mirbahaeddin, Abdulrahman Abusaif, David T A Fuentes, Kareem Wahid, Cem Dede, Mohamed A Naser, Renjie He, Ahmed W Moawad, Khaled M Elsayes, Melissa M Chen, Adegbenga O Otun, Jillian Rigert, Mark S Chambers, Andrew Hope, Erin Watson, Kristy K Brock, Katherine Hutcheson, Lisanne Van Dijk, Amy C Moreno, Stephen Y Lai, Clifton D Fuller, Abdallah S R Mohamed, Md Anderson Head And Neck Cancer Symptom Working Group

Faculty, Staff and Student Publications

Purpose: This study aims to identify radiomic features from contrast-enhanced CT (CECT) scans that differentiate osteoradionecrosis (ORN) from normal mandibular bone in head and neck cancer (HNC) patients treated with radiotherapy (RT).

Materials and methods: CECT images from 150 patients with confirmed ORN diagnosis (2008-2018) at MD Anderson Cancer Center (MDACC) were analyzed (80 % train, 20 % test). Radiomic features were extracted using PyRadiomics from manually segmented ORN regions and automated contralateral healthy mandible regions. Correlation analysis (r > 0.95) reduced features for model training. A random Forest (RF) classifier with Recursive Feature Elimination identified discriminative features. Explainability was assessed …

Epidemiology Of Shoulder Dislocations In The United States From 1990 To 2019: A Temporal Study Using The Global Burden Of Disease Database., Gabrielle Dykhouse, Ambrose Loc T Ngo, Phillip C Mckegg, Peter B Spencer, Arsalaan Sayyed, Taylor J Manes, Morgan Turnow, Nathaniel Long

Surgery Articles

Introduction The shoulder joint is a common site for joint dislocation, with many individuals suffering from recurrent dislocations following treatment. The purpose of this study was to evaluate the epidemiology of shoulder dislocations in the United States from 1990 to 2019. Methods The Global Burden of Disease database was utilized to collect epidemiological data on shoulder dislocations in the United States (U.S.) from 1990 to 2019. These data included age-standardized rates of years lived with disability (YLDs), prevalence rates, and incidence rates per 100,000 people. Using the U.S. Census Bureau definitions, the data were stratified into four regions: the Northeast, …

Construct And Predictive Validity Of The Kansas City Cardiomyopathy Questionnaire In Adult Congenital Heart Disease, Ryan D Byrne, Ajith P Nair, Stephen J Dolgner, Swati Choudhry, Edward J Hickey, Alexis C Wood, Savitri Fedson, Biykem Bozkurt, Christopher R Broda

Faculty, Staff and Students Publications

Background: The Kansas City Cardiomyopathy Questionnaire (KCCQ) is an Food and Drug Administration-approved health status measure for patients with heart failure (HF) but has not been directly assessed in adult congenital heart disease (ACHD).

Objectives: This study evaluates construct and predictive validity of the KCCQ in ambulatory ACHD patients.

Methods: We performed cross-sectional and prospective cohort studies of ACHD patients who completed the KCCQ to assess construct and predictive validity, respectively. KCCQ scores were compared across ACHD complexity categories, disease characteristics and physiologic failure, and within 2 primary composite outcomes: death or all-cause hospitalization (DH) and death or interventional cardiac …

Low-Dose Metformin Requires Brain Rap1 For Its Antidiabetic Action, Hsiao-Yun Lin, Weisheng Lu, Yanlin He, Yukiko Fu, Kentaro Kaneko, Peimeng Huang, Ana B De La Puente-Gomez, Chunmei Wang, Yongjie Yang, Feng Li, Yong Xu, Makoto Fukuda

Faculty, Staff and Students Publications

Metformin is the most commonly prescribed antidiabetes drug, yet its precise mechanism of action remains controversial. Previous studies have suggested that metformin acts peripherally by reducing hepatic glucose output and altering gut functions. Here, we report a neural mechanism via the small guanosine triphosphatase Ras-related protein 1 (Rap1). Mice with forebrain-specific Rap1 knockout exhibited resistance to the antidiabetic effects of low-dose metformin while remaining sensitive to other antidiabetic agents. Centrally administered metformin inhibited brain Rap1 and reduced hyperglycemia. Conversely, forced activation of brain Rap1 increased glycemia and abolished the glycemic effect of metformin. Metformin activated a specific subset of neurons …

First Assembly Of A Draft Genome Of The Critically Endangered Northern Muriqui ( Brachyteles Hypoxanthus , Primates, Atelidae) Including Non‐Invasive Genotyping Strategies For The Species, Amanda Alves De Melo-Ximenes, Romina Batista, Leonardo Carlos Jeronimo Corvalán, Tomas Marques-Bonet, Lukas Kuderna, Kyle Farh, Jeffrey Rogers, Mariane Da Cruz Kaizer, Jean Philippe Boubli, Fabiano Rodrigues De Melo, Rhewter Nunes, Mariana Pires De Campos Telles

Faculty, Staff and Students Publications

Genomic resources, such as draft genomes, are vital for biodiversity monitoring and conservation. For endangered species, they enable the development of tools like organellar genomes and molecular markers, which are crucial for population genetics. Advances in sequencing technologies now allow high‐throughput genotyping with detailed amplicon sequences, enhancing genetic variation studies. The northern muriqui ( Brachyteles hypoxanthus ), a critically endangered primate endemic to Brazil's Atlantic Forest, currently lacks both nuclear and mitochondrial genome data and species‐specific microsatellite markers for population genetic studies. We assembled a 2.52 Gb draft genome for B. hypoxanthus with 202,243 contigs (N50 = 29,134 bp), and …

A Simple, Interpretable Machine Learning Model Based On Clinical Factors Accurately Predicts Incident Dysplasia Or Malignancy In Barrett's Esophagus, Ashwin Rao, Jasmine Haydel, Samuel Ma, Aaron P Thrift, Theresa Nguyen-Wenker, Hashem B El-Serag

Faculty, Staff and Students Publications

Purpose: Identifying patients likely to develop dysplasia or malignancy is critical for effective surveillance in patients with Barrett's Esophagus (BE). However, current predictive models are limited. We evaluated the performance of machine learning (ML) models in predicting incident dysplasia or malignancy in a cohort of veteran patients with BE.

Methods: We analyzed data from 598 patients newly diagnosed with non-dysplastic BE (NDBE), BE indefinite for dysplasia (BE-IND), and BE with non-persistent low-grade dysplasia (LGD) at the Michael DeBakey Veterans Affairs Medical Center from November 1990 to January 2019 with follow-up through January 2024. Progressors were patients who developed persistent LGD, …

Addressing Anxiety And Depression In The Allergy Clinic Through Motivational Interviewing, Brief Cognitive Behavioral Therapy, And Curious Questions, Marylee Verdi, Dominic Candido, Juliette Madan, Jonathan A Bernstein, Don Bukstein, Aikaterini Anagnostou, Matthew Greenhawt, S Shahzad Mustafa, Julie Wang, Anna Nowak-Wegrzyn, Elissa M Abrams, John Oppenheimer, Alexandra E Conway, Andrew A White, Taylor A Doherty, Richard P Morse, Marcus Shaker

Faculty, Staff and Students Publications

Allergic diseases, particularly food allergy, can be associated with significant psychosocial impairment. Allergist-immunologists can provide evidence-based information to correct misperceptions and misunderstandings regarding food allergy that may perpetuate cycles of fear and anxiety. Whereas motivational interviewing can be an empathetic approach to empower patients to actualize health goals, cognitive behavioral therapy (CBT) aims to provide disease-state insight to facilitate an understanding of risk that can transform health beliefs and behaviors. Brief CBT is a clinical approach that can help address ineffective management paradigms through conversations that begin with curious questions. In this review, we discuss evidence supporting implementation of an …

Community-Engaged Medical Student Elective To Improve Knowledge And Attitudes Toward Individuals With Intellectual And Developmental Disabilities, Kathryn J Kemere, Nital Appelbaum, Priya Chandan, Elisha Acosta

Faculty, Staff and Students Publications

Individuals with intellectual and developmental disabilities (IDD) face multiple barriers to inclusion throughout life. One barrier is the medical knowledge and biases of adult healthcare providers with diagnoses traditionally associated with childhood. Medical school curricula have limited content related to IDD, and students have limited opportunities to engage with community organizations during their clinical years. Methods: We created a one-month clinical elective to address medical students' attitudes and knowledge regarding individuals with IDD using experiential learning. Students saw adult patients in our primary care clinic with a variety of IDD diagnoses and spent 30% of their time at community sites …

An Electronic Trigger To Detect Telemedicine-Related Diagnostic Errors, Daniel R Murphy, Himabindu Kadiyala, Li Wei, Hardeep Singh

Faculty, Staff and Students Publications

Introduction

Methods

Diagnostic Value Of Cell-Free Dna Fetal Fraction In Patients With Prenatally Suspected Placenta Accreta Spectrum Disorder, Danielle Chirumbole, Christian M Parobek, Alex Tai, Haleh Sangi-Haghpeykar, Yamely H Mendez, Spoorthi Kamepalli, Christina C Reed, Arthur Ladron De Guevara, Keneshia Lane, Claire Hoppenot, Amir A Shamshirsaz, Michael A Belfort, Jessian L Munoz, Hendrik A Lombaard

Faculty, Staff and Students Publications

Objective: The purpose of this study was to investigate the relationship between fetal fraction (FF) and placenta accreta spectrum (PAS) pathology in patients with prenatally suspected PAS.

Methods: This was a case-control study utilizing a database of pregnancies with suspected or proven PAS delivered between 6/2012 and 7/2024 at a single institution. Pregnancies were excluded if FF was not reported. The primary outcome was mean FF in pregnancies with a final clinical diagnosis of low FIGO grade (no PAS or FIGO1-2) versus high FIGO grade (FIGO3) placenta accreta. Results were reported as mean FF ± standard error of the mean. …

The Influence Of Ultra-Wide Field Fluorescein Angiography On The Diagnosis And Management Of Diabetic Retinopathy, Nicole K Scripsema, Tala Al-Khaled, Amy Song, Joelle A Hallak, Rawan Allozi, Aziz A Khanifar, Thanos D Papakostas, Christina Y Weng, Ronald C Gentile, J Peter Campbell, Jessica G Lee, Gennady Landa, Felix Y Chau, William F Mieler, Meenakashi Gupta, Amani A Fawzi, Judy E Kim, Jennifer I Lim, Robison Vernon Paul Chan

Faculty, Staff and Students Publications

Purpose: To study the influence of ultra-widefield fluorescein angiography (FA) on the diagnosis and management of diabetic retinopathy (DR).

Methods: Ten experts in DR completed an online survey in which they were asked to diagnose and manage DR cases using different imaging modalities. Experts independently reviewed 20 cases of DR and provided a diagnosis and management plan for each case, first based on ultra-widefield color-free and red-free images alone and again with the corresponding ultra-widefield FA images. Experts were polled on their diagnostic confidence, use of FA in clinical practice, and opinions on the value of ultra-widefield FA. Based on …

Gastrointestinal Infection Before Immune Checkpoint Inhibition Hinders Treatment Efficacy And Increases The Risk Of Colitis, Malek Shatila, Kian Abdul-Baki, Andres Urias Rivera, Kei Takigawa, Irene Jeong-Ah Lee, Andrew Sullivan, Tanvi Gupta, Linfeng Lu, Raakhi Menon, Ayesha Khan, Hamza Salim, Elliot Baerman, Carolina Colli Cruz, Cristina Natha, Varun Vemulapalli, Garrett Coleman, Krishnavathana Varatharajalu, Christopher Fan, Pablo Okhuysen, Anthony J Olszanski, Yan Zhou, Hao Chi Zhang, Mehnaz Shafi, Yinghong Wang

Faculty, Staff and Students Publications

Background: Gastrointestinal (GI) infections, which often result in or stem from intestinal dysbiosis, can affect the efficacy of immune checkpoint inhibitors (ICIs) and increase the risk of adverse effects, such as colitis. In this study, we explored the impact of GI infections before initiation of ICI therapy on the incidence and severity of immune-mediated colitis (IMC) and survival.

Methods: A single-center, retrospective review including all patients who received ICIs from January 2010 to February 2024 and subsequently developed IMC. Patients were screened for IMC and prior GI infections based on symptoms and stool tests. Patients' demographic, IMC, and GI infection-related …

Data-Driven Approach To Dynamic Resting State Functional Connectivity In Post-Traumatic Stress Disorder: An Enigma-Pgc Ptsd Study, Carissa W Tomas, Jacklynn M Fitzgerald, C Lexi Baird, Courtney C Haswell, Chadi G Abdallah, Michael Angstadt, Justin T Baker, Hannah Berg, Jennifer U Blackford, Josh Cisler, Andrew S Cotton, Judith K Daniels, Nicholas D Davenport, Richard J Davidson, Terri A Deroon-Cassini, Seth G Disner, Wissam El Hage, Negar Fani, Jessie L Frijling, Evan M Gordon, Daniel W Grupe, Xiaofu He, Ryan Herringa, David Hofmann, Ashley A Huggins, Ahmed Hussain, Jonathan Ipser, Neda Jahanshad, Tanja Jovanovic, Milissa L Kaufman, Yoojean Kim, Anthony King, Saskia B J Koch, Sheri Koopowitz, Amit Lazarov, Lauren A M Lebois, Isreal Liberzon, Shmuel Lissek, Antje Manthey, Geoffrey May, Katie A Mclaughlin, Laura Nawijn, Steven M Nelson, Yuval Neria, Jack B Nitschke, Bunmi O Olatunji, Miranda Olff, Matthew Peverill, Yann Quidé, Orren Ravid, Kerry Ressler, Marisa Ross, Lauren E Salminen, Kelly Sambrook, Chiahao Shih, Anika Sierk, Scott R Sponheim, Dan J Stein, Jennifer Stevens, Thomas Straube, Benjamin Suarez-Jimenez, Paul M Thompson, Nic J A Van Der Wee, Steven J A Van Der Werff, Sanne J H Van Rooij, Mirjam Van Zuiden, Dick J Veltman, Robert R J M Vermeiren, Henrik Walter, Xin Wang, Hong Xie, Xi Zhu, Sigal Zilcha-Mano, Christine L Larson, Rajendra Morey

Faculty, Staff and Students Publications

Using functional magnetic resonance imaging (fMRI), symptoms of posttraumatic stress disorder (PTSD) have been associated with aberrations in brain networks in the absence of a given cognitive demand or task, called resting-state networks. Prior work has focused on disruption in the static functional connectivity (FC) among specific regions constrained by a priori hypotheses. However, dynamic FC, an approach that examines brain network characteristics over time, may provide a more sensitive measure to understand the network properties underlying dysfunction in PTSD. Further, using a data-driven analytic approach may reveal the contribution of other larger network disturbances beyond those revealed by hypothesis-driven …

Nephrostomy (Pcn) Versus Nephroureteral Stent (Double Jj); An Ongoing Battle, Mohammad Ghasemi-Rad, Kelly Trinh, David Wynne, Mohadese Ahmadzade, Muhammad Hamza Shamim, Omar Guerrero, Ashley Bancroft, Shreya Ranganath, David Leon

Faculty, Staff and Students Publications

In the realm of medical procedures for urinary obstructions, a distinct division of roles is evident: the vast majority of percutaneous nephrostomies (PCNs) are the domain of Interventional Radiology (IR), while the placement of double J stents (JJ stents) falls squarely under Urology. This division, however, is not without its complexities. When confronted with a patient suffering from a urinary obstruction, the decision-making process can become intricate. The underlying cause often fuels the debate: should IR intervene with a PCN, or should Urology place a JJ stent? Such decisions have profound implications for the individual patient.In this comprehensive review, we …

Congestion And Sinonasal Illness In Outer Space: A Study On The International Space Station, Faizaan Khan, Koyal Ansingkar, Roshan Dongre, Zain Mehdi, Aatin K Dhanda, Kayla Powell, Tariq Syed, Samuel E Razmi, Isuru Somawardana, Jeffrey T Vrabec, David Hilmers, Omar G Ahmed, Masayoshi Takashima

Faculty, Staff and Students Publications

Objectives: This study aims to characterize quantitative data pertaining to sinonasal symptoms and their related medication use aboard the International Space Station (ISS). A secondary focus involves correlating these findings with mission parameters such as extravehicular activity (EVA) participation and mission duration.

Methods: This retrospective cohort study was conducted utilizing data requested from the National Aeronautics and Space Administration (NASA) Lifetime Surveillance of Astronaut Health (LSAH) program.

Results: Of 71 de-identified ISS astronauts beginning with Expedition 1 in the year 2000 through 62 in 2019, there were 754 logged medical events; 60 astronauts reported any type of sinonasal medical event …

Stool-Based Molecular Tuberculosis Treatment Monitoring: A Faster Means For Detecting Persistent Mycobacteria Compared To Phenotypic Culture, Clement Gascua Adu Gyamfi, Abigail Seeger, Durbbin Mulengwa, Anca Vasiliu, Lucia Carratala-Castro, Bariki Mtafya, Nontobeko Maphalala, Shilzia Munguambe, Belen Saavedra, Tara Ness, Gugu Maphalala, Sozinho Acacio, Edson Mambuque, Joanna Ehrlich, Rojelio Mejia, Mangaliso Ziyane, H Lester Kirchner, Christoph Lange, Alexander Kay, Alberto L Garcia-Basteiro, Anna Mandalakas, Andrew R Dinardo

Faculty, Staff and Students Publications

Background: Tuberculosis (TB) treatment monitoring is hindered by the lack of a rapidly measured biomarker that accurately predicts clinically relevant outcomes. Symptom screening poorly correlates with bacillary burden. Although culture is a direct measure of viable bacillary burden, the long turnaround time makes it clinically irrelevant.

Methods: The TB treatment monitoring potential of stool-based, quantitative polymerase chain reaction (qPCR) was prospectively assessed among 231 participants of all ages from Eswatini, Tanzania, and Mozambique with microbiologically confirmed TB. Stool qPCR results were compared to sputum culture, persistent symptoms, drug resistance, and World Health Organization TB outcomes.

Results: Quantitative bacillary burden measured …

Rest-Activity Rhythm Phenotypes In Adults With Epilepsy And Intellectual Disability, Nandani Adhyapak, Grace E Cardenas, Mark A Abboud, Vaishnav Krishnan

Faculty, Staff and Students Publications

Objective: Rest-activity rhythms (RARs) are perturbed in many forms of neuropsychiatric illness. In this study, we applied wrist actigraphy to describe RAR perturbations in intellectually disabled adults with epilepsy ("E + ID"), using a cross-sectional case-control design. We examined whether RAR phenotypes correlated with epilepsy severity, deficits in adaptive function, and/or comorbid psychopathology.

Methods: Caregivers of E + ID subjects provided informed consent during routine ambulatory clinic visits and were asked to complete standardized surveys of overall epilepsy severity (GASE, Global Assessment of Severity of Epilepsy), adaptive function (ABAS-3, Adaptive Behavior Assessment System-3) and psychopathology (ABCL, Adult Behavior Checklist). Caregivers …

Integrative Exome Sequencing And Machine Learning Identify Micb And Interferon Pathway Genes As Contributors To Ssc Risk, Shamika Ketkar, Hongzheng Dai, Lindsay Burrage, David Murdock, Brian Dawson, Marialbert Acosta-Herrera, Martin Kerick, Javier Martin, Kevin Wilhelm, Jennifer Kay Asmussen, Olivier Lichtarge, Regeneron Genetics Center, Shervin Assassi, Maureen D Mayes, Brendan H Lee

Faculty, Staff and Students Publications

Objectives: Systemic sclerosis (SSc) is a complex autoimmune disease with both known and unidentified genetic contributors. While genome-wide association studies (GWAS) have implicated multiple loci, many reside in noncoding regions. We aimed to identify novel protein-coding variants and pathogenic pathways using exome sequencing (ES) integrated with an Evolutionary Action-Machine Learning (EAML) framework, single-cell RNA sequencing (scRNA-seq), and expression quantitative trait locus (eQTL) analysis.

Methods: GWAS was conducted in 2,559 SSc cases and 893 controls of Caucasian ancestry, with replication in 9,846 cases and 18,333 controls of European ancestry. EAML prioritized genes with high-impact missense variants predictive of disease. Public scRNA-seq …

Characterization Of Visual Field Loss Over 4 Years In The Rate Of Progression In Ush2a-Related Retinal Degeneration (Rush2a) Study, Jacque L Duncan, Maureen G Maguire, Lee S Mcdaniel, Nicole R Doucet, Isabelle Audo, Allison R Ayala, Janet K Cheetham, Peiyao Cheng, Todd A Durham, Rachel M Huckfeldt, Robert B Hufnagel, K Thiran Jayasundera, Naheed Khan, Brett Malbin, Ramiro S Maldonado, Michel Michaelides, Mark E Pennesi, Christina Y Weng, Alex Zmejkoski, Shobana Aravind, Hiroshi Ishikawa, David G Birch

Faculty, Staff and Students Publications

Purpose: To report visual field loss using static perimetry (SP) and kinetic perimetry (KP) over 4 years in the Rate of Progression of USH2A-related Retinal Degeneration (RUSH2A) study.

Design: Prospective, observational cohort study.

Subjects, participants, and/or controls: Participants had USH2A-related rod-cone degeneration, visual acuity ≥20/80, and KP III4e ≥10° at baseline in the study eye. Preserved cohorts with baseline visual fields sufficient to detect progression were identified.

Methods: Participants were examined annually through 4 years. Mixed-effects models were used to estimate the annual, standardized rate, and percentage rates of change.

Main outcome measures: SP measures included hill of vision (total: …

Author Correction: The Long-Term Effects Of Chemotherapy On Normal Blood Cells, Emily Mitchell, My H Pham, Anna Clay, Rashesh Sanghvi, Nicholas Williams, Sandra Pietsch, Joanne I Hsu, Nina Friesgaard Øbro, Hyunchul Jung, Aditi Vedi, Sarah Moody, Jingwei Wang, Daniel Leonganmornlert, Michael Spencer Chapman, Ellie Dunstone, Anna Santarsieri, Alex Cagan, Heather E Machado, E Joanna Baxter, George Follows, Daniel J Hodson, Ultan Mcdermott, Gary J Doherty, Inigo Martincorena, Laura Humphreys, Krishnaa Mahbubani, Kourosh Saeb Parsy, Koichi Takahashi, Margaret A Goodell, David Kent, Elisa Laurenti, Peter J Campbell, Raheleh Rahbari, Jyoti Nangalia, Michael R Stratton

Faculty, Staff and Student Publications

No abstract provided.

High-Gamma And Beta Bursts In The Left Supramarginal Gyrus Can Differentiate Verbal Memory States And Performance, Shennan Aibel Weiss, Nicolás Sawczuk, Daniel Y. Rubinstein, Michael R Sperling, Katrina Wendel-Mitoraj, Päivi Österman, René Dumay-Roscher, Charles B. Mikell, Sima Mofakham, Kelly Coulehan, Petar M. Djuric, Diego Fernandez Slezak, Juan Esteban Kamienkowski

Department of Neurology Faculty Papers

INTRODUCTION: The left supramarginal gyrus (LSMG) contributes to attentional allocation for memory encoding and may also reflect memory state and performance. Given the roles of high-gamma and beta bursts in cognition and memory, this proof-of-concept study investigated whether these signals within the LSMG could classify memory state and performance.

METHODS: Using secondary data from 103 epilepsy patients undergoing presurgical iEEG evaluation, we analyzed 141 delayed verbal free recall experiments. Intracranial EEG (iEEG) data, recorded solely from LSMG electrode contacts, were processed to create two-dimensional (2D) tensors of convolved high-gamma (HG), and beta (15-40 Hz) burst activity. Convolutional neural networks (CNNs) …

The Eleventh Annual Meeting Of The Southeastern Association Of Shared Resources (Seasr) Nashville, Tn, Usa June 12-14, 2024, Jenny C Schafer, Lyra M Griffiths, Tania E Mesa, Deidre Daria, Daniel Kraushaar, Kristen V Massey, Edith M Sampson, Laura Fox-Goharioon, Laxminarayanan Krishnan, Stacie Woolard, Aaron Pitre

Faculty, Staff and Students Publications

No abstract provided.

Role And Use Of Race In Artificial Intelligence And Machine Learning Models Related To Health, Martin C Were, Ang Li, Bradley A Malin, Zhijun Yin, Joseph R Coco, Benjamin X Collins, Ellen Wright Clayton, Laurie L Novak, Rachele Hendricks-Sturrup, Abiodun O Oluyomi, Shilo Anders, Chao Yan

Faculty, Staff and Students Publications

The role and use of race within health-related artificial intelligence (AI) and machine learning (ML) models have sparked increasing attention and controversy. Despite the complexity and breadth of related issues, a robust and holistic framework to guide stakeholders in their examination and resolution remains lacking. This perspective provides a broad-based, systematic, and crosscutting landscape analysis of race-related challenges, structured around the AI and ML life cycle and framed through "points to consider" to support inquiry and decision-making.

Single-Cell Transcriptomics Reveals Biomarker Heterogeneity Linked To Cdk4/6 Inhibitor Resistance In Breast Cancer Cell Lines, Ilenia Migliaccio, Martina Bonechi, Dario Romagnoli, Giulia Boccalini, Francesca Galardi, Cristina Guarducci, Agostina Nardone, Rachel Schiff, Laura Biganzoli, Luca Malorni, Matteo Benelli

Faculty, Staff and Students Publications

Cyclin dependent kinases 4 and 6 inhibitors have brought great improvements in the treatment of luminal breast cancer, but resistance is a major clinical hurdle. Multiple biomarkers of resistance have been proposed, but none is currently utilized in clinical practice. By performing single-cell RNA sequencing of seven palbociclib-naïve luminal breast cancer cell lines and palbociclib-resistant derivatives, we show that established biomarkers and pathways related to CDK4/6i resistance present marked intra- and inter- cell-line heterogeneity. Transcriptional features of resistance could be already observed in naïve cells correlating with levels of sensitivity (IC50) to palbociclib. Resistant derivatives showed transcriptional clusters that significantly …