Digital Commons Network^™

Inclusion Of Patient-Centered, Non-Microbiological Endpoints And Biomarkers In Tuberculosis Drug Trials, Andrew R Dinardo, Wilbert Sabiiti, Stephen H Gillespie, Sophia B Georghiou, Norbert Heinrich, Norbert Hittel, Sami Taghlabi, Danna Carrero Longlax, Mikashmi Kohli, Ursula Panzner, Collins Musia, Christoph Lange, Anca Vasiliu, Rob J W Arts, Anna M Mandalakas, Morten Ruhwald, Lieven J Stuyver, Reinout Van Crevel

Faculty, Staff and Students Publications

Tuberculosis drug trials are primarily designed to identify antibiotic regimens with the strongest potency to kill Mycobacterium tuberculosis. However, microbiologic cure is not synonymous with improved health and recovery. Beyond antimicrobial efficacy, parameters such as morbidity and mortality related to lung function, cardiovascular health, and cancer should be prioritized. This narrative review emphasizes the critical need to emphasize clinical outcomes as much, if not more, than microbiological endpoints. We examine the underlying pathophysiological mechanisms and determinants of non-microbiological outcomes in tuberculosis, providing a synthesis of current knowledge. While there is growing evidence for some biomarkers to risk stratify TB …

Skewed Adaptive Immune Responses Are Involved In Alpha-1 Antitrypsin Deficiency Emphysema, Joselyn Rojas-Quintero, Scott A Ochsner, Hyun-Sung Lee, Christine Cong, Alan Waich Cohen, Adrianne S Colborg, Konstantin Tsoyi, Maria C Basil, Edward Cantu, Ivan O Rosas, Neil J Mckenna, Raúl San-José Estépar, Igor Barjaktarevic, Andrew A Wilson, Francesca Polverino

Faculty, Staff and Students Publications

No abstract provided.

Mice With Lymphatic Dysfunction Develop Pathogenic Lung Tertiary Lymphoid Organs That Model An Autoimmune Emphysema Phenotype Of Copd, Barbara Summers, Kihwan Kim, Anjali Trivedi, Tyler M Lu, Sean Houghton, Jade Palmer-Johnson, Joselyn Rojas-Quintero, Juan Cala-Garcia, Tania Pannellini, Francesca Polverino, Raphaël Lis, Hasina Outtz Reed

Faculty, Staff and Students Publications

We have previously shown that mice with a loss of C-type lectin-like type II (CLEC2), which have lymphatic dysfunction due to the role of CLEC2 in platelets for maintaining separation between the venous and lymphatic system, develop lung tertiary lymphoid organ (TLO) formation and lung injury that resembles an emphysema phenotype of chronic obstructive pulmonary disease (COPD). We now sought to investigate whether and how TLOs in these mice may play a pathogenic role in lung injury that is relevant to human disease. We found that inhibiting TLO formation using an anti-CD20 antibody in CLEC2-deficient mice partially blocked the development …

Advancing Narcolepsy Advocacy: Bridging Patient Narratives And Systemic Change, Ahmed Salem Bahammam, Lindsay Jesteadt, Hamza Dhafar, Amir Sharafkhaneh

Faculty, Staff and Students Publications

We introduce the Stigma-to-Structure Advocacy Framework, a novel, evidence-based model designed to transform narcolepsy advocacy by systematically bridging patient narratives with structural change. Narcolepsy remains a profoundly underdiagnosed and misunderstood neurological disorder, with persistent diagnostic delays and pervasive cultural stigma undermining patient well-being and access to care. Despite recent progress in awareness and support, advocacy efforts remain fragmented and insufficiently integrated with health policy, particularly in low- and middle-income countries. This perspective advances a strategic evolution of narcolepsy advocacy through the Stigma-to-Structure Advocacy Framework, which is anchored in three pillars: narrative-driven awareness, clinical system integration, and policy activation. Drawing on …

The Geography Of Rock Glaciers In The American West, Allison Reese Trcka, Andrew G. Fountain, Bryce Allen Glenn

Geology Faculty Publications and Presentations

Rock glaciers are relatively common in conterminous United States west of the 100° meridian, yet their distribution and number are not well known. Using aerial and satellite imagery, we inventoried the population of rock glaciers, yielding 2,257 rock glaciers totaling 234.28 km² with an area of uncertainty of 7 percent. Of these, 1,561 (155.44 km²) are considered intact (moving) and 696 (76.84 km²) relict. Based on published estimates of ice content, total water-equivalent volume is roughly 2.52 km³. Rock glacier elevations increase from the northwest (Washington) to the southeast (Colorado), following a spatial …

Syndromic Forms Of Inherited Retinal Dystrophies: A Comprehensive Molecular Diagnosis Of Consanguineous Pakistani Families Using Capture Panel Sequencing, Aleesha Asghar, Sumbal Wazir, Shehzeen Fatima, Hussan Bilal, Muhammad Shoaib, Saqib Ur Rehman, Sumaira Altaf, Yumei Li, Kiran Afshan, Rui Chen, Sabika Firasat

Faculty, Staff and Students Publications

Background: Inherited retinal dystrophies (IRDs) represent a clinically and genetically heterogeneous group of genetic disorders that involve photoreceptors and/or retinal pigment epithelium degeneration. IRDs may occur as an isolated condition or may represent an ocular manifestation of a multisystemic disorder referred as syndromic IRD. To increase the understanding of the molecular determinants of syndromic IRD-related genes in the Pakistani population, we revealed the genetic profile of 13 consanguineous Pakistani families using capture panel sequencing.

Methods: We performed comprehensive molecular testing on 72 IRD segregating Pakistani families using targeted capture panel sequencing of 344 known genes. The pathogenicity of candidate variants …

Deletions In The Cdkl5 5′ Untranslated Region Lead To Cdkl5 Deficiency Disorder, Isabel Haviland, Ralph D Hector, Lindsay C Swanson, Aubrie Soucy Verran, Emma Sherrill, Zoë Frazier, Annemarie M Denny, Jenna Lucash, Bo Zhang, Holly A Dubbs, Eric D Marsh, Judith L Weisenberg, Helen Leonard, Milena Crippa, Francesca Cogliati, Silvia Russo, Bernhard Suter, Rajsekar Rajaraman, Alan K Percy, John M Schreiber, Scott Demarest, Timothy A Benke, Maya Chopra, Timothy W Yu, Heather E Olson

Faculty, Staff and Students Publications

Pathogenic variants in the cyclin-dependent kinase-like 5 (CDKL5) gene are associated with CDKL5 deficiency disorder (CDD), a severe X-linked developmental and epileptic encephalopathy. Deletions affecting the 5' untranslated region (UTR) of CDKL5, which involve the noncoding exon 1 and/or alternatively spliced first exons (exons 1a-e), are uncommonly reported. We describe genetic and phenotypic characteristics for 15 individuals with CDKL5 partial gene deletions affecting the 5' UTR. All individuals presented characteristic features of CDD, including medically refractory infantile-onset epilepsy, global developmental delay, and visual impairment. We performed RNA sequencing on fibroblast samples from three individuals with small deletions involving exons 1 …

Clinical Variation In Lowe Syndrome: What And How?, Eileen D Brewer

Faculty, Staff and Students Publications

Lowe syndrome is an X-linked disorder caused by mutations of the OCRL gene which encodes the enzyme inositol polyphosphate-5-phosphatase OCRL (Ocrl1) and is expressed in almost all body cells. Clinical characteristics involve kidney, brain, eye, muscle, bone, teeth, testes, skin and thrombocytes. Clinical phenotypes are heterogenous among families and even among affected boys in the same family. All have kidney disease varying from severe manifestations of Fanconi syndrome to only low molecular weight proteinuria, hypercalciuria and little kidney disease in the first decade of life. All develop chronic kidney disease (CKD) that typically progresses slowly and reaches stages 4–5 after …

Id-Gba: Subgraph Extension With Information Distance Guilt By Association In Complex Networks, Predrag Obradovic, Vladimir Kovacevic, Aleksandar Milosavljevic, Varduhi Petrosyan

Faculty, Staff and Students Publications

Here, we introduce the ID-GBA (Information Distance Guilt By Association) method to expand highly connected sets of nodes by deploying a novel algorithm for subgraph extension based on the guilt-by-association principle and information distance. In this study, ID-GBA was utilized to expand disease clusters, and identify novel disease genes. We first validate its ability to expand related disease sets from disease/disease graphs built using Open Targets' gene association scores. We then analyze disease/control gene expression networks and show that ID-GBA recaptures known disease genes in nine disease/control graphs. Compared to existing methods such as Random Walk with Restarts and Personalized …

Bayesian Covariate-Dependent Circadian Modeling Of Rest-Activity Rhythms, Beniamino Hadj-Amar, Vaishnav Krishnan, Marina Vannucci

Faculty, Staff and Students Publications

We propose a Bayesian covariate-dependent anti-logistic circadian model for analyzing activity data collected via wrist-worn wearable devices. The proposed approach integrates covariates into the modeling of the amplitude and phase parameters, facilitating cohort-level analysis with enhanced flexibility and interpretability. To promote model sparsity, we employ an l1-ball projection prior, enabling precise control over complexity while identifying significant predictors. We assess performances on simulated data and then apply the method to real-world actigraphy data from people with epilepsy. Our results demonstrate the model’s effectiveness in uncovering complex relationships among demographic, psychological, and medical factors influencing rest-activity rhythms, offering insights for …

Mock: An Algorithm For Learning Nonparametric Differential Equations Via Multivariate Occupation Kernel Functions, Victoria A. Rielly, Kamel Lahouel, Ethan Lew, Nicholas Fisher, Vicky Geneva Haney, Michael Wells, Bruno M. Jedynak

Mathematics and Statistics Faculty Publications and Presentations

Learning a nonparametric system of ordinary differential equations from trajectories in a -dimensional state space requires learning functions of variables. Explicit formulations often scale quadratically in unless additional knowledge about system properties, such as sparsity and symmetries, is available. In this work, we propose a linear approach, the multivariate occupation kernel method (MOCK), using the implicit formulation provided by vector-valued reproducing kernel Hilbert spaces. The solution for the vector field relies on multivariate occupation kernel functions associated with the trajectories and scales linearly with the dimension of the state space. We validate through experiments on a variety of simulated and …