Digital Commons Network^™

Leveraging Digital Technologies For Management Of Peripartum Depression To Mitigate Health Disparities, Alexandra Zingg

Dissertations and Theses (Open Access)

Health disparities are adverse, preventable differences in health outcomes that affect disadvantaged populations. Examples of health disparities can be seen in the condition of peripartum depression (PPD), a mood disorder affecting approximately 10-15% of peripartum women. For example, Hispanic and African-American women are less likely to start or continue PPD treatment. Digital health technologies have emerged as practical solutions for PPD care and self-management. However, existing digital solutions lack an incorporation of behavior theory and distinctive information needs based on women’s personal, social, and clinical profiles. Bridging this gap, I adapt Digilego, an integrative digital health development framework consisting of: …

Kcna1 Gain-Of-Function Epileptic Encephalopathy Treated With 4-Aminopyridine, Peter Müller, Danielle S Takacs, Ulrike B S Hedrich, Rohini Coorg, Laura Masters, Kevin E Glinton, Hongzheng Dai, Jon A Cokley, James J Riviello, Holger Lerche, Edward C Cooper

Faculty, Staff and Students Publications

Precision medicine for Mendelian epilepsy is rapidly developing. We describe an early infant with severely pharmacoresistant multifocal epilepsy. Exome sequencing revealed the de novo variant p.(Leu296Phe) in the gene KCNA1, encoding the voltage‐gated K+ channel subunit KV1.1. So far, loss‐of‐function variants in KCNA1 have been associated with episodic ataxia type 1 or epilepsy. Functional studies of the mutated subunit in oocytes revealed a gain‐of‐function caused by a hyperpolarizing shift of voltage dependence. Leu296Phe channels are sensitive to block by 4‐aminopyridine. Clinical use of 4‐aminopyridine was associated with reduced seizure burden, enabled simplification of co‐medication and prevented rehospitalization.

Paving The Road For Chimeric Antigen Receptor T Cells: American Society For Transplantation And Cellular Therapy 80/20 Task Force Consensus On Challenges And Solutions To Improving Efficiency Of Clinical Center Certification And Maintenance Of Operations For Commercially Approved Immune Effector Cell Therapies, Sarah Nikiforow, Matthew J Frigault, Noelle V Frey, Rebecca A Gardner, Krishna V Komanduri, Miguel-Angel Perales, Partow Kebriaei, Phyllis Irene Warkentin, Marcelo Pasquini, Joy Lynn Aho, Bruce L Levine, Helen E Heslop, Tracey L Hlucky, Karen Habucky, Mecide Gharibo, Madan Jagasia, Frederick L Locke

Faculty, Staff and Students Publications

As the number and type of regulatory authority-approved cellular therapies grow, clinical treatment centers face a heavy burden of duplicative documentation around initial qualification, ongoing auditing, and reporting, with overlapping requirements from each manufacturer to ensure safe use of their specific product, which in the United States are stipulated under individual Food and Drug Administration (FDA) Biologic License Applications. The American Society for Transplantation and Cellular Therapy (ASTCT) convened the 80/20 Task Force to consider challenges and potential solutions to these issues. The Task Force proposed that 80% of manufacturers' requirements for onboarding and ongoing operations of commercially available products …

Even Heterozygous Loss Of Cdkn2a/B Greatly Accelerates Recurrence In Aggressive Meningioma, A Basit Khan, Collin W English, William C Chen, Prazwal Athukuri, James C Bayley, Vicky L Brandt, Arya Shetty, Caroline C Hadley, Abrar Choudhury, Hsiang-Chih Lu, Arif O Harmanci, Akdes S Harmanci, Stephen T Magill, David R Raleigh, Tiemo J Klisch, Akash J Patel

Faculty, Staff and Students Publications

No abstract provided.

Fit24, A Digital Health Intervention To Reduce Type 2 Diabetes Risk Among Hispanic Youth: Protocol For A Feasibility Pilot Study, Erica G Soltero, Callie Lopez, Salma M Musaad, Teresia M O'Connor, Debbe Thompson

Faculty, Staff and Students Publications

BACKGROUND: Poor physical activity (PA) and sleep behaviors in Hispanic adolescents contributes to increased risk for type 2 diabetes. Commonly owned digital devices and services like smartphones and text-messaging are highly used among adolescents and are promising intervention tools for reaching this age group. Personal activity trackers assess activity and sleep, making them ideal tools for addressing these behaviors. We propose to examine the feasibility of a 12-week intervention that uses theoretically grounded text messages and a Fitbit device to improve PA and sleep among Hispanic adolescents with obesity, as compared to a wait-list control group with a Fitbit device …

Corrigendum To Diagnosis And Management Of Severe Congenital Protein C Deficiency (Scpcd): Communication From The Ssc Of The Isth [J Thromb Haemost 2022 Jul; 20(7):1735–1743], Adrian Minford, Leonardo R Brandão, Maha Othman, Christoph Male, Rezan Abdul-Kadir, Paul Monagle, Andrew D Mumford, Dorothy Adcock, Björn Dahlbäck, Predrag Miljic, Maria T Desancho, Jun Teruya

Faculty, Staff and Students Publications

No abstract provided.

Genomic Analysis Of Two Phlebotomine Sand Fly Vectors Of Leishmania From The New And Old World, Frédéric Labbé, Maha Abdeladhim, Jenica Abrudan, Alejandra Saori Araki, Ricardo N Araujo, Peter Arensburger, Joshua B Benoit, Reginaldo Pecanha Brazil, Rafaela V Bruno, Gustavo Bueno Da Silva Rivas, Vinicius Carvalho De Abreu, Jason Charamis, Iliano V Coutinho-Abreu, Samara G Da Costa-Latgé, Alistair Darby, Viv M Dillon, Scott J Emrich, Daniela Fernandez-Medina, Nelder Figueiredo Gontijo, Catherine M Flanley, Derek Gatherer, Fernando A Genta, Sandra Gesing, Gloria I Giraldo-Calderón, Bruno Gomes, Eric Roberto Guimaraes Rocha Aguiar, James G C Hamilton, Omar Hamarsheh, Mallory Hawksworth, Jacob M Hendershot, Paul V Hickner, Jean-Luc Imler, Panagiotis Ioannidis, Emily C Jennings, Shaden Kamhawi, Charikleia Karageorgiou, Ryan C Kennedy, Andreas Krueger, José M Latorre-Estivalis, Petros Ligoxygakis, Antonio Carlos A Meireles-Filho, Patrick Minx, Jose Carlos Miranda, Michael J Montague, Ronald J Nowling, Fabiano Oliveira, João Ortigão-Farias, Marcio G Pavan, Marcos Horacio Pereira, Andre Nobrega Pitaluga, Roenick Proveti Olmo, Marcelo Ramalho-Ortigao, José M C Ribeiro, Andrew J Rosendale, Mauricio R V Sant'anna, Steven E Scherer, Nágila F C Secundino, Douglas A Shoue, Caroline Da Silva Moraes, João Silveira Moledo Gesto, Nataly Araujo Souza, Zainulabueddin Syed, Samuel Tadros, Rayane Teles-De-Freitas, Erich L Telleria, Chad Tomlinson, Yara M Traub-Csekö, João Trindade Marques, Zhijian Tu, Maria F Unger, Jesus Valenzuela, Flávia V Ferreira, Karla P V De Oliveira, Felipe M Vigoder, John Vontas, Lihui Wang, Gareth D Weedall, Elyes Zhioua, Stephen Richards, Wesley C Warren, Robert M Waterhouse, Rod J Dillon, Mary Ann Mcdowell

Faculty, Staff and Students Publications

Phlebotomine sand flies are of global significance as important vectors of human disease, transmitting bacterial, viral, and protozoan pathogens, including the kinetoplastid parasites of the genus Leishmania, the causative agents of devastating diseases collectively termed leishmaniasis. More than 40 pathogenic Leishmania species are transmitted to humans by approximately 35 sand fly species in 98 countries with hundreds of millions of people at risk around the world. No approved efficacious vaccine exists for leishmaniasis and available therapeutic drugs are either toxic and/or expensive, or the parasites are becoming resistant to the more recently developed drugs. Therefore, sand fly and/or reservoir control …

Interstitial Lung Disease In Veterans: Leveraging Big Data To Bridge Evidence And Practice Gaps, Bhavika Kaul, Laura A Petersen, Ivan O Rosas, Joyce S Lee, Fernando J Martinez, Venkata D Bandi, Drew A Helmer, Paul J Wolters, Harold R Collard, Mary A Whooley

Faculty, Staff and Students Publications

No abstract provided.

Proteomic Predictors Of Incident Diabetes: Results From The Atherosclerosis Risk In Communities (Aric) Study, Mary R Rooney, Jingsha Chen, Justin B Echouffo-Tcheugui, Keenan A Walker, Pascal Schlosser, Aditya Surapaneni, Olive Tang, Jinyu Chen, Christie M Ballantyne, Eric Boerwinkle, Chiadi E Ndumele, Ryan T Demmer, James S Pankow, Pamela L Lutsey, Lynne E Wagenknecht, Yujian Liang, Xueling Sim, Rob Van Dam, E Shyong Tai, Morgan E Grams, Elizabeth Selvin, Josef Coresh

Faculty, Staff and Students Publications

Objective: The plasma proteome preceding diabetes can improve our understanding of diabetes pathogenesis.

Research design and methods: In 8,923 Atherosclerosis Risk in Communities (ARIC) Study participants (aged 47-70 years, 57% women, 19% Black), we conducted discovery and internal validation for associations of 4,955 plasma proteins with incident diabetes. We externally validated results in the Singapore Multi-Ethnic Cohort (MEC) nested case-control (624 case subjects, 1,214 control subjects). We used Cox regression to discover and validate protein associations and risk-prediction models (elastic net regression with cardiometabolic risk factors and proteins) for incident diabetes. We conducted a pathway analysis and examined causality using …

Temporal Single-Cell Atlas Of Non-Neuronal Retinal Cells Reveals Dynamic, Coordinated Multicellular Responses To Central Nervous System Injury, Inbal Benhar, Jiarui Ding, Wenjun Yan, Irene E Whitney, Anne Jacobi, Malika Sud, Grace Burgin, Karthik Shekhar, Nicholas M Tran, Chen Wang, Zhigang He, Joshua R Sanes, Aviv Regev

Faculty, Staff and Students Publications

Non-neuronal cells are key to the complex cellular interplay that follows central nervous system insult. To understand this interplay, we generated a single-cell atlas of immune, glial and retinal pigment epithelial cells from adult mouse retina before and at multiple time points after axonal transection. We identified rare subsets in naive retina, including interferon (IFN)-response glia and border-associated macrophages, and delineated injury-induced changes in cell composition, expression programs and interactions. Computational analysis charted a three-phase multicellular inflammatory cascade after injury. In the early phase, retinal macroglia and microglia were reactivated, providing chemotactic signals concurrent with infiltration of CCR2+ monocytes from …

Coevolutionary Signals In Metabotropic Glutamate Receptors Capture Residue Contacts And Long-Range Functional Interactions, Eunna Huh, Melina A Agosto, Theodore G Wensel, Olivier Lichtarge

Faculty, Staff and Students Publications

Upon ligand binding to a G protein-coupled receptor, extracellular signals are transmitted into a cell through sets of residue interactions that translate ligand binding into structural rearrangements. These interactions needed for functions impose evolutionary constraints so that, on occasion, mutations in one position may be compensated by other mutations at functionally coupled positions. To quantify the impact of amino acid substitutions in the context of major evolutionary divergence in the G protein-coupled receptor subfamily of metabotropic glutamate receptors (mGluRs), we combined two phylogenetic-based algorithms, Evolutionary Trace and covariation Evolutionary Trace, to infer potential structure-function couplings and roles in mGluRs. We …

E-Cigarette Aerosols Of Propylene Glycol Impair Bk Channel Activity And Parameters Of Mucociliary Function, Michael D Kim, Samuel Chung, Nathalie Baumlin, Liang Sun, Neerupma Silswal, John S Dennis, Makoto Yoshida, Juan Sabater, Frank T Horrigan, Matthias Salathe

Faculty, Staff and Students Publications

Propylene glycol (PG) is a common delivery vehicle for nicotine and flavorings in e-cigarette (e-cig) liquids and is largely considered safe for ingestion. However, little is known about its effects as an e-cig aerosol on the airway. Here, we investigated whether pure PG e-cig aerosols in realistic daily amounts impact parameters of mucociliary function and airway inflammation in a large animal model (sheep) in vivo and primary human bronchial epithelial cells (HBECs) in vitro. Five-day exposure of sheep to e-cig aerosols of 100% PG increased mucus concentrations (% mucus solids) of tracheal secretions. PG e-cig aerosols further increased the activity …

Construction Of Semi-Supervised Spatial Projections To Identify The Source Of Beta- And High Frequency Oscillations In Parkinson’S Disease, Luciano R F Branco, Ashwin Viswanathan, Arjun Tarakad, Nuri F Ince

Faculty, Staff and Students Publications

Traditional deep brain stimulation (DBS) treatment for Parkinson's disease (PD) targets the placement of DBS leads into subthalamic nucleus (STN). Extraction of neurobiomarkers from STN local field potential activity can be used for the optimization of DBS. Beta (12-30 Hz) and high frequency oscillations (200-450 Hz, HFO) of STN and their phase-amplitude coupling have been previously correlated with symptom severity in PD. The typical approach is to take bipolar derivations of electrode contacts in order to enhance recordings of local brain activity and suppress noise levels. This approach can often cancel the signals in correlated neighboring contacts and create ambiguity …

Approaching Object Acceleration Differentially Affects The Predictions Of Neuronal Collision Avoidance Models, Fabrizio Gabbiani, Thomas Preuss, Richard B Dewell

Faculty, Staff and Students Publications

The processing of visual information for collision avoidance has been investigated at the biophysical level in several model systems. In grasshoppers, the (so-called) [Formula: see text] model captures reasonably well the visual processing performed by an identified neuron called the lobular giant movement detector as it tracks approaching objects. Similar phenomenological models have been used to describe either the firing rate or the membrane potential of neurons responsible for visually guided collision avoidance in other animals. Specifically, in goldfish, the [Formula: see text] model has been proposed to describe the Mauthner cell, an identified neuron involved in startle escape responses. …

Cigarette Smoke Condensate Induces Centrosome Clustering In Normal Lung Epithelial Cells, Jose Thaiparambil, Chandra S Amara, Subrata Sen, Nagireddy Putluri, Randa El-Zein

Faculty, Staff and Students Publications

BACKGROUND: Unlike normal cells, cancer cells frequently have multiple centrosomes that can cluster to form bipolar mitotic spindles and allow for successful cell division. Inhibiting centrosome clustering, therefore, holds therapeutic promise to promote cancer cell-specific cell death.

METHODS: We used confocal microscopy, real-time PCR, siRNA knockdown, and western blot to analyze centrosome clustering and declustering using normal lung bronchial epithelial and nonsmall-cell lung cancer (NSCLC) cell lines. Also, we used Ingenuity Pathway Analysis software to identify novel pathways associated with centrosome clustering.

RESULTS: In this study, we found that exposure to cigarette smoke condensate induces centrosome amplification and clustering in …

Admixture Mapping In African Americans Identifies New Risk Loci For Hcv-Related Cirrhosis, Hyun-Seok Kim, Priya B Shetty, Spiridon Tsavachidis, Jing Dong, Christopher I Amos, Hashem B El-Serag, Aaron P Thrift

Faculty, Staff and Students Publications

BACKGROUND & AIMS: Cirrhosis is the main predisposing condition for hepatocellular carcinoma. Host genetic risk factors have been reported for cirrhosis; however, whether there is a genetic contribution to racial disparities in cirrhosis requires further investigation.

METHODS: We used an affected-only mapping by admixture linkage disequilibrium analysis to characterize the genetic risk of cirrhosis in 227 African American patients with cirrhosis genotyped at 19,804 ancestry-informative marker single nucleotide polymorphisms. We additionally performed analyses stratified by hepatitis C virus (HCV) infection status. To replicate our findings, we conducted a case-control analysis in an external study population (452 cases and 196 controls). …

Clinical Implications Of Molecular Drug Resistance Testing For Mycobacterium Tuberculosis: A 2023 Tbnet/Resist-Tb Consensus Statement, José Domínguez, Martin J Boeree, Emmanuelle Cambau, Dumitru Chesov, Francesca Conradie, Vivian Cox, Keertan Dheda, Andrii Dudnyk, Maha R Farhat, Sebastien Gagneux, Martin P Grobusch, Matthias I Gröschel, Lorenzo Guglielmetti, Irina Kontsevaya, Berit Lange, Frank Van Leth, Christian Lienhardt, Anna M Mandalakas, Florian P Maurer, Matthias Merker, Paolo Miotto, Barbara Molina-Moya, Florence Morel, Stefan Niemann, Nicolas Veziris, Andrew Whitelaw, Charles R Horsburgh, Christoph Lange

Faculty, Staff and Students Publications

Drug-resistant tuberculosis is a substantial health-care concern worldwide. Despite culture-based methods being considered the gold standard for drug susceptibility testing, molecular methods provide rapid information about the Mycobacterium tuberculosis mutations associated with resistance to anti-tuberculosis drugs. This consensus document was developed on the basis of a comprehensive literature search, by the TBnet and RESIST-TB networks, about reporting standards for the clinical use of molecular drug susceptibility testing. Review and the search for evidence included hand-searching journals and searching electronic databases. The panel identified studies that linked mutations in genomic regions of M tuberculosis with treatment outcome data. Implementation of molecular …

Machine Learning And Health Care: Potential Benefits And Issues, J Graham Atkinson, Elizabeth G Atkinson

Faculty, Staff and Students Publications

We discuss the potential for machine learning (ML) and artificial intelligence (AI) to improve health care, while detailing caveats and important considerations to ensure unbiased and equitable implementation. If disparities exist in the data used to train ML algorithms, they must be recognized and accounted for, so they do not bias performance accuracy or are not interpreted by the algorithm as simply a lack of need. We pay particular attention to an area in which bias in data composition is particularly striking, that is in large-scale genetics databases, as people of European descent are vastly overrepresented in the existing resources.

Loss Of Neuron Navigator 2 Impairs Brain And Cerebellar Development, Andrea Accogli, Shenzhao Lu, Ilaria Musante, Paolo Scudieri, Jill A Rosenfeld, Mariasavina Severino, Simona Baldassari, Michele Iacomino, Antonella Riva, Ganna Balagura, Gianluca Piccolo, Carlo Minetti, Denis Roberto, Fan Xia, Razaali Razak, Emily Lawrence, Mohamed Hussein, Emmanuel Yih-Herng Chang, Michelle Holick, Elisa Calì, Emanuela Aliberto, Rosalba De-Sarro, Antonio Gambardella, Undiagnosed Diseases Network, Synaps Study Group, Lisa Emrick, Peter J A Mccaffery, Margaret Clagett-Dame, Paul C Marcogliese, Hugo J Bellen, Seema R Lalani, Federico Zara, Pasquale Striano, Vincenzo Salpietro

Faculty, Staff and Students Publications

Cerebellar hypoplasia and dysplasia encompass a group of clinically and genetically heterogeneous disorders frequently associated with neurodevelopmental impairment. The Neuron Navigator 2 (NAV2) gene (MIM: 607,026) encodes a member of the Neuron Navigator protein family, widely expressed within the central nervous system (CNS), and particularly abundant in the developing cerebellum. Evidence across different species supports a pivotal function of NAV2 in cytoskeletal dynamics and neurite outgrowth. Specifically, deficiency of Nav2 in mice leads to cerebellar hypoplasia with abnormal foliation due to impaired axonal outgrowth. However, little is known about the involvement of the NAV2 gene in human disease phenotypes. In …

Familial Hypercholesterolemia In The Electronic Medical Records And Genomics Network: Prevalence, Penetrance, Cardiovascular Risk, And Outcomes After Return Of Results, Ozan Dikilitas, Alborz Sherafati, Seyedmohammad Saadatagah, Benjamin A Satterfield, David C Kochan, Katherine C Anderson, Wendy K Chung, Scott J Hebbring, Zachary M Salvati, Richard R Sharp, Amy C Sturm, Richard A Gibbs, Robb Rowley, Eric Venner, Jodell E Linder, Laney K Jones, Emma F Perez, Josh F Peterson, Gail P Jarvik, Heidi L Rehm, Hana Zouk, Dan M Roden, Marc S Williams, Teri A Manolio, Iftikhar J Kullo

Faculty, Staff and Students Publications

BACKGROUND: The implications of secondary findings detected in large-scale sequencing projects remain uncertain. We assessed prevalence and penetrance of pathogenic familial hypercholesterolemia (FH) variants, their association with coronary heart disease (CHD), and 1-year outcomes following return of results in phase III of the electronic medical records and genomics network.

METHODS: Adult participants (n=18 544) at 7 sites were enrolled in a prospective cohort study to assess the clinical impact of returning results from targeted sequencing of 68 actionable genes, including

RESULTS: The prevalence of FH-associated pathogenic variants was 1 in 188 (69 of 13,019 unselected participants). Penetrance was 87.5%. The …

Natural History Of Tango2 Deficiency Disorder: Baseline Assessment Of 73 Patients, Christina Y Miyake, Erica J Lay, Claudia Soler-Alfonso, Kevin E Glinton, Kimberly M Houck, Mustafa Tosur, Nancy E Moran, Sara B Stephens, Fernando Scaglia, Taylor S Howard, Jeffrey J Kim, Tam Dam Pham, Santiago O Valdes, Na Li, Chaya N Murali, Lilei Zhang, Maina Kava, Deane Yim, Cheyenne Beach, Gregory Webster, Leonardo Liberman, Christopher M Janson, Prince J Kannankeril, Samantha Baxter, Moriel Singer-Berk, Jordan Wood, Samuel J Mackenzie, Michael Sacher, Lina Ghaloul-Gonzalez, Claudia Pedroza, Shaine A Morris, Saad A Ehsan, Mahshid S Azamian, Seema R Lalani

Faculty, Staff and Students Publications

PURPOSE: TANGO2 deficiency disorder (TDD), an autosomal recessive disease first reported in 2016, is characterized by neurodevelopmental delay, seizures, intermittent ataxia, hypothyroidism, and life-threatening metabolic and cardiac crises. The purpose of this study was to define the natural history of TDD.

METHODS: Data were collected from an ongoing natural history study of patients with TDD enrolled between February 2019 and May 2022. Data were obtained through phone or video based parent interviews and medical record review.

RESULTS: Data were collected from 73 patients (59% male) from 57 unrelated families living in 16 different countries. The median age of participants at …

Molecular Function And Contribution Of Tbx4 In Development And Disease, Justyna A Karolak, Carrie L Welch, Christian Mosimann, Katarzyna Bzdęga, James D West, David Montani, Mélanie Eyries, Mary P Mullen, Steven H Abman, Matina Prapa, Stefan Gräf, Nicholas W Morrell, Anna R Hemnes, Frédéric Perros, Rizwan Hamid, Malcolm P O Logan, Jeffrey Whitsett, Csaba Galambos, Paweł Stankiewicz, Wendy K Chung, Eric D Austin

Faculty, Staff and Students Publications

Over the past decade, recognition of the profound impact of the TBX4 (T-box 4) gene, which encodes a member of the evolutionarily conserved family of T-box–containing transcription factors, on respiratory diseases has emerged. The developmental importance of TBX4 is emphasized by the association of TBX4 variants with congenital disorders involving respiratory and skeletal structures; however, the exact role of TBX4 in human development remains incompletely understood. Here, we discuss the developmental, tissue-specific, and pathological TBX4 functions identified through human and animal studies and review the published TBX4 variants resulting in variable disease phenotypes. We also outline future research …

Naive T Cells Inhibit The Outgrowth Of Intractable Antigen-Activated Memory T Cells: Implications For T-Cell Immunotherapy, Sandhya Sharma, Mae Woods, Naren U Mehta, Tim Sauer, Kathan S Parikh, Michael Schmuck-Henneresse, Huimin Zhang, Birju Mehta, Malcolm K Brenner, Helen E Heslop, Cliona M Rooney

Faculty, Staff and Students Publications

BACKGROUND: The wider application of T cells targeting viral tumor-antigens via their native receptors is hampered by the failure to expand potent tumor-specific T cells from patients. Here, we examine reasons for and solutions to this failure, taking as our model the preparation of Epstein-Barr virus (EBV)-specific T cells (EBVSTs) for the treatment of EBV-positive lymphoma. EBVSTs could not be manufactured from almost one-third of patients, either because they failed to expand, or they expanded, but lacked EBV specificity. We identified an underlying cause of this problem and established a clinically feasible approach to overcome it.

METHODS: CD45RO+CD45RA- memory compartment …

Contribution Of Adaptive Immunity To Human Copd And Experimental Models Of Emphysema, Farrah Kheradmand, Yun Zhang, David B Corry

Faculty, Staff and Students Publications

The pathophysiology of chronic obstructive pulmonary disease (COPD) and the undisputed role of innate immune cells in this condition have dominated the field in the basic research arena for many years. Recently, however, compelling data suggesting that adaptive immune cells may also contribute to the progressive nature of lung destruction associated with COPD in smokers have gained considerable attention. The histopathological changes in the lungs of smokers can be limited to the large or small airways, but alveolar loss leading to emphysema, which occurs in some individuals, remains its most significant and irreversible outcome. Critically, however, the question of why …

Decs: A Tool For Systematic Cell Type Annotations Of Single-Cell Rna Sequencing Data Among Human Tissues, Guangsheng Pei, Fangfang Yan, Lukas M Simon, Yulin Dai, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

Single-cell RNA sequencing (scRNA-seq) is revolutionizing the study of complex and dynamic cellular mechanisms. However, cell type annotation remains a main challenge as it largely relies on a priori knowledge and manual curation, which is cumbersome and subjective. The increasing number of scRNA-seq datasets, as well as numerous published genetic studies, has motivated us to build a comprehensive human cell type reference atlas.Here, we present decoding Cell type Specificity (deCS), an automatic cell type annotation method augmented by a comprehensive collection of human cell type expression profiles and marker genes. We used deCS to annotate scRNA-seq data from various tissue …

An Untrained Deep Learning Method For Reconstructing Dynamic Mr Images From Accelerated Model-Based Data, Kalina P Slavkova, Julie C Dicarlo, Viraj Wadhwa, Sidharth Kumar, Chengyue Wu, John Virostko, Thomas E Yankeelov, Jonathan I Tamir

Faculty, Staff and Student Publications

PURPOSE: To implement physics-based regularization as a stopping condition in tuning an untrained deep neural network for reconstructing MR images from accelerated data.

METHODS: The ConvDecoder (CD) neural network was trained with a physics-based regularization term incorporating the spoiled gradient echo equation that describes variable-flip angle data. Fully-sampled variable-flip angle k-space data were retrospectively accelerated by factors of R = {8, 12, 18, 36} and reconstructed with CD, CD with the proposed regularization (CD + r), locally low-rank (LR) reconstruction, and compressed sensing with L1-wavelet regularization (L1). Final images from CD + r training were evaluated at the "argmin" of …

Causal Effects On Complex Traits Are Similar For Common Variants Across Segments Of Different Continental Ancestries Within Admixed Individuals, Kangcheng Hou, Yi Ding, Ziqi Xu, Yue Wu, Arjun Bhattacharya, Rachel Mester, Gillian M Belbin, Steve Buyske, David V Conti, Burcu F Darst, Myriam Fornage, Chris Gignoux, Xiuqing Guo, Christopher Haiman, Eimear E Kenny, Michelle Kim, Charles Kooperberg, Leslie Lange, Ani Manichaikul, Kari E North, Ulrike Peters, Laura J Rasmussen-Torvik, Stephen S Rich, Jerome I Rotter, Heather E Wheeler, Genevieve L Wojcik, Ying Zhou, Sriram Sankararaman, Bogdan Pasaniuc

Faculty, Staff and Student Publications

Individuals of admixed ancestries (for example, African Americans) inherit a mosaic of ancestry segments (local ancestry) originating from multiple continental ancestral populations. This offers the unique opportunity of investigating the similarity of genetic effects on traits across ancestries within the same population. Here we introduce an approach to estimate correlation of causal genetic effects (radmix) across local ancestries and analyze 38 complex traits in African-European admixed individuals (N = 53,001) to observe very high correlations (meta-analysis radmix = 0.95, 95% credible interval 0.93-0.97), much higher than correlation of causal effects across continental ancestries. We replicate our results using regression-based methods …

Quantification Of The Role Of Lead Foil In Flattening Filter Free Beam Reference Dosimetry, Song Gao, Christopher Nelson, Congjun Wang, Vindu Kathriarachchi, Michael Choi, Rishik Saxena, Robin Kendall, Peter Balter

Faculty, Staff and Student Publications

PURPOSE: To quantify the potential error in outputs for flattening filter free (FFF) beams associated with use of a lead foil in beam quality determination per the addendum protocol for TG-51, we examined differences in measurements of the beam quality conversion factor k

METHODS: Two FFF beams, a 6 MV FFF and a 10 MV FFF, were calibrated on eight Varian TrueBeams and two Elekta Versa HD linear accelerators (linacs) according to the TG-51 addendum protocol by using Farmer ionization chambers [TN 30013 (PTW) and SNC600c (Sun Nuclear)] with traceable absorbed dose-to-water calibrations. In determining k

RESULTS: Differences in %dd(10)x …

Prediction Of Brain Metastases Development In Patients With Lung Cancer By Explainable Artificial Intelligence From Electronic Health Records, Zhao Li, Rongbin Li, Yujia Zhou, Laila Rasmy, Degui Zhi, Ping Zhu, Antonio Dono, Xiaoqian Jiang, Hua Xu, Yoshua Esquenazi, W Jim Zheng

Faculty, Staff and Student Publications

PURPOSE: Early detection of brain metastases (BMs) is critical for prompt treatment and optimal control of the disease. In this study, we seek to predict the risk of developing BM among patients diagnosed with lung cancer on the basis of electronic health record (EHR) data and to understand what factors are important for the model to predict BM development through explainable artificial intelligence approaches accurately.

MATERIALS AND METHODS: We trained a recurrent neural network model, REverse Time AttentIoN (RETAIN), to predict the risk of developing BM using structured EHR data. To interpret the model's decision process, we analyzed the attention …

Why Is Biomedical Informatics Hard? A Fundamental Framework, Todd R Johnson, Elmer V Bernstam

Faculty, Staff and Student Publications

Building on previous work to define the scientific discipline of biomedical informatics, we present a framework that categorizes fundamental challenges into groups based on data, information, and knowledge, along with the transitions between these levels. We define each level and argue that the framework provides a basis for separating informatics problems from non-informatics problems, identifying fundamental challenges in biomedical informatics, and provides guidance regarding the search for general, reusable solutions to informatics problems. We distinguish between processing data (symbols) and processing meaning. Computational systems, that are the basis for modern information technology (IT), process data. In contrast, many important challenges …