Medicine and Health Sciences Commons^™

Dynamic Hydrogel-Metal-Organic Framework System Promotes Bone Regeneration In Periodontitis Through Controlled Drug Delivery, Qipei Luo, Yuxin Yang, Chingchun Ho, Zongtai Li, Weicheng Chiu, Anqi Li, Yulin Dai, Weichang Li, Xinchun Zhang

Faculty, Staff and Student Publications

Periodontitis is a prevalent chronic inflammatory disease, which leads to gradual degradation of alveolar bone. The challenges persist in achieving effective alveolar bone repair due to the unique bacterial microenvironment's impact on immune responses. This study explores a novel approach utilizing Metal-Organic Frameworks (MOFs) (comprising magnesium and gallic acid) for promoting bone regeneration in periodontitis, which focuses on the physiological roles of magnesium ions in bone repair and gallic acid's antioxidant and immunomodulatory properties. However, the dynamic oral environment and irregular periodontal pockets pose challenges for sustained drug delivery. A smart responsive hydrogel system, integrating Carboxymethyl Chitosan (CMCS), Dextran (DEX) …

Intrapartum Exposure To Synthetic Oxytocin, Maternal Bmi, And Neurodevelopmental Outcomes In Children Within The Echo Consortium, Lisa Kurth, T Michael O'Shea, Irina Burd, Anne L Dunlop, Lisa Croen, Greta Wilkening, Ting-Ju Hsu, Stephan Ehrhardt, Arvind Palanisamy, Monica Mcgrath, Marie L Churchill, Daniel Weinberger, Marco Grados, Dana Dabelea

2020-Current year OA Pubs

BACKGROUND: Synthetic oxytocin (sOT) is frequently administered during parturition. Studies have raised concerns that fetal exposure to sOT may be associated with altered brain development and risk of neurodevelopmental disorders. In a large and diverse sample of children with data about intrapartum sOT exposure and subsequent diagnoses of two prevalent neurodevelopmental disorders, i.e., attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), we tested the following hypotheses: (1) Intrapartum sOT exposure is associated with increased odds of child ADHD or ASD; (2) associations differ across sex; (3) associations between intrapartum sOT exposure and ADHD or ASD are accentuated in …

Ver-Net: A Hybrid Transfer Learning Model For Lung Cancer Detection Using Ct Scan Images, Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

BACKGROUND: Lung cancer is the second most common cancer worldwide, with over two million new cases per year. Early identification would allow healthcare practitioners to handle it more effectively. The advancement of computer-aided detection systems significantly impacted clinical analysis and decision-making on human disease. Towards this, machine learning and deep learning techniques are successfully being applied. Due to several advantages, transfer learning has become popular for disease detection based on image data.

METHODS: In this work, we build a novel transfer learning model (VER-Net) by stacking three different transfer learning models to detect lung cancer using lung CT scan images. …

Validation Of Human Telomere Length Multi-Ancestry Meta-Analysis Association Signals Identifies Pop5 And Kbtbd6 As Human Telomere Length Regulation Genes, Rebecca Keener, Surya B Chhetri, Carla J Connelly, Margaret A Taub, Matthew P Conomos, Joshua Weinstock, Bohan Ni, Benjamin Strober, Stella Aslibekyan, Paul L Auer, Lucas Barwick, Lewis C Becker, John Blangero, Eugene R Bleecker, Jennifer A Brody, Brian E Cade, Juan C Celedon, Yi-Cheng Chang, L Adrienne Cupples, Brian Custer, Barry I Freedman, Mark T Gladwin, Susan R Heckbert, Lifang Hou, Marguerite R Irvin, Carmen R Isasi, Jill M Johnsen, Eimear E Kenny, Charles Kooperberg, Ryan L Minster, Take Naseri, Satupa'itea Viali, Sergei Nekhai, Nathan Pankratz, Patricia A Peyser, Kent D Taylor, Marilyn J Telen, Baojun Wu, Lisa R Yanek, Ivana V Yang, Christine Albert, Donna K Arnett, Allison E Ashley-Koch, Kathleen C Barnes, Joshua C Bis, Thomas W Blackwell, Eric Boerwinkle, Esteban G Burchard, April P Carson, Zhanghua Chen, Yii-Der Ida Chen, Dawood Darbar, Mariza De Andrade, Patrick T Ellinor, Myriam Fornage, Bruce D Gelb, Frank D Gilliland, Jiang He, Talat Islam, Stefan Kaab, Sharon L R Kardia, Shannon Kelly, Barbara A Konkle, Rajesh Kumar, Ruth J F Loos, Fernando D Martinez, Stephen T Mcgarvey, Deborah A Meyers, Braxton D Mitchell, Courtney G Montgomery, Kari E North, Nicholette D Palmer, Juan M Peralta, Benjamin A Raby, Susan Redline, Stephen S Rich, Dan Roden, Jerome I Rotter, Ingo Ruczinski, David Schwartz, Frank Sciurba, M Benjamin Shoemaker, Edwin K Silverman, Moritz F Sinner, Nicholas L Smith, Albert V Smith, Hemant K Tiwari, Ramachandran S Vasan, Scott T Weiss, L Keoki Williams, Yingze Zhang, Elad Ziv, Laura M Raffield, Alexander P Reiner, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Topmed Hematology And Hemostasis Working Group, Topmed Structural Variation Working Group, Marios Arvanitis, Carol W Greider, Rasika A Mathias, Alexis Battle

Faculty, Staff and Student Publications

Genome-wide association studies (GWAS) have become well-powered to detect loci associated with telomere length. However, no prior work has validated genes nominated by GWAS to examine their role in telomere length regulation. We conducted a multi-ancestry meta-analysis of 211,369 individuals and identified five novel association signals. Enrichment analyses of chromatin state and cell-type heritability suggested that blood/immune cells are the most relevant cell type to examine telomere length association signals. We validated specific GWAS associations by overexpressing KBTBD6 or POP5 and demonstrated that both lengthened telomeres. CRISPR/Cas9 deletion of the predicted causal regions in K562 blood cells reduced expression of …

Brain Cell-Type Shifts In Alzheimer’S Disease, Autism, And Schizophrenia Interrogated Using Methylomics And Genetics, Chloe X Yap, Daniel D Vo, Matthew G Heffel, Arjun Bhattacharya, Cindy Wen, Yuanhao Yang, Kathryn E Kemper, Jian Zeng, Zhili Zheng, Zhihong Zhu, Eilis Hannon, Dorothea Seiler Vellame, Alice Franklin, Christa Caggiano, Brie Wamsley, Daniel H Geschwind, Noah Zaitlen, Alexander Gusev, Bogdan Pasaniuc, Jonathan Mill, Chongyuan Luo, Michael J Gandal

Faculty, Staff and Student Publications

Few neuropsychiatric disorders have replicable biomarkers, prompting high-resolution and large-scale molecular studies. However, we still lack consensus on a more foundational question: whether quantitative shifts in cell types-the functional unit of life-contribute to neuropsychiatric disorders. Leveraging advances in human brain single-cell methylomics, we deconvolve seven major cell types using bulk DNA methylation profiling across 1270 postmortem brains, including from individuals diagnosed with Alzheimer's disease, schizophrenia, and autism. We observe and replicate cell-type compositional shifts for Alzheimer's disease (endothelial cell loss), autism (increased microglia), and schizophrenia (decreased oligodendrocytes), and find age- and sex-related changes. Multiple layers of evidence indicate that endothelial …

Evaluating Performance And Applications Of Sample-Wise Cell Deconvolution Methods On Human Brain Transcriptomic Data, Rujia Dai, Tianyao Chu, Ming Zhang, Xuan Wang, Alexandre Jourdon, Feinan Wu, Jessica Mariani, Flora M Vaccarino, Donghoon Lee, John F Fullard, Gabriel E Hoffman, Panos Roussos, Yue Wang, Xusheng Wang, Dalila Pinto, Sidney H Wang, Chunling Zhang, Psychencode Consortium, Chao Chen, Chunyu Liu

Faculty, Staff and Student Publications

Sample-wise deconvolution methods estimate cell-type proportions and gene expressions in bulk tissue samples, yet their performance and biological applications remain unexplored, particularly in human brain transcriptomic data. Here, nine deconvolution methods were evaluated with sample-matched data from bulk tissue RNA sequencing (RNA-seq), single-cell/nuclei (sc/sn) RNA-seq, and immunohistochemistry. A total of 1,130,767 nuclei per cells from 149 adult postmortem brains and 72 organoid samples were used. The results showed the best performance of dtangle for estimating cell proportions and bMIND for estimating sample-wise cell-type gene expressions. For eight brain cell types, 25,273 cell-type eQTLs were identified with deconvoluted expressions (decon-eQTLs). The …

Biobank-Wide Association Scan Identifies Risk Factors For Late-Onset Alzheimer's Disease And Endophenotypes, Donghui Yan, Carlos Cruchaga, Et Al.

2020-Current year OA Pubs

Rich data from large biobanks, coupled with increasingly accessible association statistics from genome-wide association studies (GWAS), provide great opportunities to dissect the complex relationships among human traits and diseases. We introduce BADGERS, a powerful method to perform polygenic score-based biobank-wide association scans. Compared to traditional approaches, BADGERS uses GWAS summary statistics as input and does not require multiple traits to be measured in the same cohort. We applied BADGERS to two independent datasets for late-onset Alzheimer's disease (AD; n=61,212). Among 1738 traits in the UK biobank, we identified 48 significant associations for AD. Family history, high cholesterol, and numerous traits …

Effect Of Genomic And Cellular Environments On Gene Expression Noise, Clarice K Y Hong, Avinash Ramu, Siqi Zhao, Barak A Cohen

2020-Current year OA Pubs

BACKGROUND: Individual cells from isogenic populations often display large cell-to-cell differences in gene expression. This "noise" in expression derives from several sources, including the genomic and cellular environment in which a gene resides. Large-scale maps of genomic environments have revealed the effects of epigenetic modifications and transcription factor occupancy on mean expression levels, but leveraging such maps to explain expression noise will require new methods to assay how expression noise changes at locations across the genome.

RESULTS: To address this gap, we present Single-cell Analysis of Reporter Gene Expression Noise and Transcriptome (SARGENT), a method that simultaneously measures the noisiness …

Reversible Male Contraception By Targeted Inhibition Of Serine/Threonine Kinase 33, Angela F Ku, Kiran L Sharma, Hai Minh Ta, Courtney M Sutton, Kurt M Bohren, Yong Wang, Srinivas Chamakuri, Ruihong Chen, John M Hakenjos, Ravikumar Jimmidi, Katarzyna Kent, Feng Li, Jian-Yuan Li, Lang Ma, Chandrashekhar Madasu, Murugesan Palaniappan, Stephen S Palmer, Xuan Qin, Matthew B Robers, Banumathi Sankaran, Zhi Tan, Yasmin M Vasquez, Jian Wang, Jennifer Wilkinson, Zhifeng Yu, Qiuji Ye, Damian W Young, Mingxing Teng, Choel Kim, Martin M Matzuk

Faculty, Staff and Students Publications

Men or mice with homozygous serine/threonine kinase 33 (STK33) mutations are sterile owing to defective sperm morphology and motility. To chemically evaluate STK33 for male contraception with STK33-specific inhibitors, we screened our multibillion-compound collection of DNA-encoded chemical libraries, uncovered potent STK33-specific inhibitors, determined the STK33 kinase domain structure bound with a truncated hit CDD-2211, and generated an optimized hit CDD-2807 that demonstrates nanomolar cellular potency (half-maximal inhibitory concentration = 9.2 nanomolar) and favorable metabolic stability. In mice, CDD-2807 exhibited no toxicity, efficiently crossed the blood-testis barrier, did not accumulate in brain, and induced a reversible contraceptive effect that …

Dynamic Cbct Imaging Using Prior Model-Free Spatiotemporal Implicit Neural Representation (Pmf-Stinr), Hua-Chieh Shao, Tielige Mengke, Tinsu Pan, You Zhang

Faculty, Staff and Student Publications

Objective. Dynamic cone-beam computed tomography (CBCT) can capture high-spatial-resolution, time-varying images for motion monitoring, patient setup, and adaptive planning of radiotherapy. However, dynamic CBCT reconstruction is an extremely ill-posed spatiotemporal inverse problem, as each CBCT volume in the dynamic sequence is only captured by one or a few x-ray projections, due to the slow gantry rotation speed and the fast anatomical motion (e.g. breathing).Approach. We developed a machine learning-based technique, prior-model-free spatiotemporal implicit neural representation (PMF-STINR), to reconstruct dynamic CBCTs from sequentially acquired x-ray projections. PMF-STINR employs a joint image reconstruction and registration approach to address the …

Beyond Vertigo: Vestibular, Aural, And Perceptual Symptoms In Vestibular Migraine, Claire E.J. Ceriani

Department of Jefferson Headache Center Papers and Presentations

PURPOSE: To review the vestibular, aural, and perceptual symptoms of vestibular migraine (VM) that may present alongside vertigo.

RECENT FINDINGS: Increased research attention to the wide spectrum of symptoms presenting in VM patients has improved understanding of this disorder, with recent identification of five different VM phenotypes. Research into the clinical overlap between VM and other chronic vestibular syndromes such as persistent postural-perceptual dizziness and mal-de-debarquement syndrome reveals a range of vestibular symptoms and hints at pathophysiological connections between migraine and vestibular dysfunction. Studies of migraine treatment for hearing loss suggest patients presenting with aural symptoms may have an underlying …

Impact Of Combinatorial Histone Modifications On Acetyllysine Recognition By The Atad2 And Atad2b Bromodomains, Margaret Phillips, Kiera L Malone, Brian W Boyle, Cameron Montgomery, Isabelle A Kressy, Faith M Joseph, Kathleen M Bright, Samuel P Boyson, Sunsik Chang, Jay C Nix, Nicolas L Young, Victoria Jeffers, Seth Frietze, Karen C Glass

Faculty, Staff and Students Publications

The ATPase family AAA+ domain containing 2 (ATAD2) protein and its paralog ATAD2B have a C-terminal bromodomain (BRD) that functions as a reader of acetylated lysine residues on histone proteins. Using a structure–function approach, we investigated the ability of the ATAD2/B BRDs to select acetylated lysine among multiple histone post-translational modifications. The ATAD2B BRD can bind acetylated histone ligands that also contain adjacent methylation or phosphorylation marks, while the presence of these modifications significantly weakened the acetyllysine binding activity of the ATAD2 BRD. Our structural studies provide mechanistic insights into how ATAD2/B BRD-binding pocket residues coordinate the acetyllysine group in …

Prediction Of Disease-Free Survival For Precision Medicine Using Cooperative Learning On Multi-Omic Data, Georg Hahn, Dmitry Prokopenko, Julian Hecker, Sharon M Lutz, Kristina Mullin, Leinal Sejour, Winston Hide, Ioannis Vlachos, Stacia Desantis, Rudolph E Tanzi, Christoph Lange

Faculty, Staff and Student Publications

In precision medicine, both predicting the disease susceptibility of an individual and forecasting its disease-free survival are areas of key research. Besides the classical epidemiological predictor variables, data from multiple (omic) platforms are increasingly available. To integrate this wealth of information, we propose new methodology to combine both cooperative learning, a recent approach to leverage the predictive power of several datasets, and polygenic hazard score models. Polygenic hazard score models provide a practitioner with a more differentiated view of the predicted disease-free survival than the one given by merely a point estimate, for instance computed with a polygenic risk score. …

Gte: A Graph Learning Framework For Prediction Of T-Cell Receptors And Epitopes Binding Specificity, Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang

Faculty, Staff and Student Publications

The interaction between T-cell receptors (TCRs) and peptides (epitopes) presented by major histocompatibility complex molecules (MHC) is fundamental to the immune response. Accurate prediction of TCR–epitope interactions is crucial for advancing the understanding of various diseases and their prevention and treatment. Existing methods primarily rely on sequence-based approaches, overlooking the inherent topology structure of TCR–epitope interaction networks. In this study, we present , a novel heterogeneous Graph neural network model based on inductive learning to capture the topological structure between TCRs and Epitopes. Furthermore, we address the challenge of constructing negative samples within the graph by proposing a dynamic edge …

Improved Pediatric Icu Mortality Prediction For Respiratory Diseases: Machine Learning And Data Subdivision Insights, Johayra Prithula, Muhammad E H Chowdhury, Muhammad Salman Khan, Khalid Al-Ansari, Susu M Zughaier, Khandaker Reajul Islam, Abdulrahman Alqahtani

Faculty, Staff and Student Publications

The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric illnesses, there is a pressing need to predict ICU mortality in these cases. This study based on data from 1188 patients, addresses this imperative using machine learning techniques and investigating different class balancing methods for pediatric ICU mortality prediction. This study employs the publicly accessible "Paediatric Intensive Care database" to train, validate, and test a machine learning model for predicting pediatric patient mortality. Features were ranked using three machine learning feature selection …

Accessibility, Relevance, And Impact Of A Symptom Monitoring Tool For Home Hospice Care: Theory Elaboration And Qualitative Assessment, Karla T Washington, Debra Parker Oliver, Allison K Donehower, Patrick White, Jacquelyn J Benson, Patrick G Lyons, George Demiris

2020-Current year OA Pubs

BACKGROUND: Early users found Engagement and Visualization to Improve Symptoms in Oncology Care (ENVISION), a web-based application designed to improve home management of hospice patients' symptoms and support patients' and family caregivers' well-being, to be generally useful and easy to use. However, they also raised concerns about potential challenges users with limited technological proficiency might experience.

OBJECTIVE: We sought to concurrently accomplish two interrelated study aims: (1) to develop a conceptual framework of digital inclusivity for health information systems and (2) to apply the framework in evaluating the digital inclusivity of the ENVISION application.

METHODS: We engaged ENVISION users (N=34) …

Solutes Unmask Differences In Clustering Versus Phase Separation Of Fet Proteins, Mrityunjoy Kar, Laura T Vogel, Gaurav Chauhan, Suren Felekyan, Hannes Ausserwöger, Timothy J Welsh, Furqan Dar, Anjana R Kamath, Tuomas P J Knowles, Anthony A Hyman, Claus A M Seidel, Rohit V Pappu

2020-Current year OA Pubs

Phase separation and percolation contribute to phase transitions of multivalent macromolecules. Contributions of percolation are evident through the viscoelasticity of condensates and through the formation of heterogeneous distributions of nano- and mesoscale pre-percolation clusters in sub-saturated solutions. Here, we show that clusters formed in sub-saturated solutions of FET (FUS-EWSR1-TAF15) proteins are affected differently by glutamate versus chloride. These differences on the nanoscale, gleaned using a suite of methods deployed across a wide range of protein concentrations, are prevalent and can be unmasked even though the driving forces for phase separation remain unchanged in glutamate versus chloride. Strikingly, differences in anion-mediated …

Evaluation Of A New Dna Extraction Method On Challenging Bone Samples Recovered From A Wwii Mass Grave, Barbara Di Stefano, Irena Zupanič Pajnič, Monica Concato, Barbara Bertoglio, Maria Grazia Calvano, Solange Sorçaburu Ciglieri, Alessandro Bosetti, Pierangela Grignani, Yasmine Addoum, Raffaella Vetrini, Francesco Introna, Serena Bonin, Carlo Previderè, Paolo Fattorini

Faculty, Staff and Students Publications

Bones and teeth represent a common finding in ancient DNA studies and in forensic casework, even after a long burial. Genetic typing is the gold standard for the personal identification of skeletal remains, but there are two main factors involved in the successful DNA typing of such samples: (1) the set-up of an efficient DNA extraction method; (2) the identification of the most suitable skeletal element for the downstream genetic analyses. In this paper, a protocol based on the processing of 0.5 g of bone powder decalcified using Na2EDTA proved to be suitable for a semi-automated DNA extraction workflow using …

The Inform (International Framework For Rehabilitation Medics) Project To Strengthen The Medical Specialty, Man Hung, Himani Patel, Samantha Lee, Justin Nguyen, Amir Mohajeri

Faculty, Staff and Student Publications

(1) Background: This study examines vitamin D’s impact on dental caries to inform prevention strategies, given its critical role in bone and calcium regulation, vital for dental health. (2) Methods: Data from 18,683 participants of the National Health and Nutrition Examination Survey (NHANES) 2011–2016 were analyzed. NHANES collects U.S. population data through interviews, physical exams, and tests, including vitamin D levels and dental health assessed using both the decayed, missing, and filled teeth (DMFT) index and the presence of untreated dental caries. Vitamin D levels were measured according to serum 25(OH)D concentrations, and the analyses adjusted for confounders such as …

Selective Refueling Of Car T Cells Using Ada1 And Cd26 Boosts Antitumor Immunity, Yue Hu, Abhijit Sarkar, Kevin Song, Sara Michael, Magnus Hook, Ruoning Wang, Andras Heczey, Xiaotong Song

Faculty, Staff and Student Publications

Chimeric antigen receptor (CAR) T cell therapy is hindered in solid tumor treatment due to the immunosuppressive tumor microenvironment and suboptimal T cell persistence. Current strategies do not address nutrient competition in the microenvironment. Hence, we present a metabolic refueling approach using inosine as an alternative fuel. CAR T cells were engineered to express membrane-bound CD26 and cytoplasmic adenosine deaminase 1 (ADA1), converting adenosine to inosine. Autocrine secretion of ADA1 upon CD3/CD26 stimulation activates CAR T cells, improving migration and resistance to transforming growth factor β1 suppression. Fusion of ADA1 with anti-CD3 scFv further boosts inosine production and minimizes tumor …

Comprehensive Proteogenomic Characterization Of Rare Kidney Tumors, Ginny Xiaohe Li, Lijun Chen, Yi Hsiao, Rahul Mannan, Yuping Zhang, Jie Luo, Francesca Petralia, Hanbyul Cho, Noshad Hosseini, Felipe Da Veiga Leprevost, Anna Calinawan, Yize Li, Shankara Anand, Aniket Dagar, Yifat Geffen, Chandan Kumar-Sinha, Seema Chugh, Anne Le, Sean Ponce, Shenghao Guo, Cissy Zhang, Michael Schnaubelt, Nataly Naser Al Deen, Feng Chen, Wagma Caravan, Andrew Houston, Alex Hopkins, Chelsea J Newton, Xiaoming Wang, Daniel A Polasky, Sarah Haynes, Fengchao Yu, Xiaojun Jing, Siqi Chen, Ana I Robles, Mehdi Mesri, Mathangi Thiagarajan, Eunkyung An, Gad A Getz, W Marston Linehan, Galen Hostetter, Scott D Jewell, Daniel W Chan, Pei Wang, Gilbert S Omenn, Rohit Mehra, Christopher J Ricketts, Li Ding, Arul M Chinnaiyan, Marcin P Cieslik, Saravana M Dhanasekaran, Hui Zhang, Alexey I Nesvizhskii, Clinical Proteomic Tumor Analysis Consortium

Faculty, Staff and Students Publications

Non-clear cell renal cell carcinomas (non-ccRCCs) encompass diverse malignant and benign tumors. Refinement of differential diagnosis biomarkers, markers for early prognosis of aggressive disease, and therapeutic targets to complement immunotherapy are current clinical needs. Multi-omics analyses of 48 non-ccRCCs compared with 103 ccRCCs reveal proteogenomic, phosphorylation, glycosylation, and metabolic aberrations in RCC subtypes. RCCs with high genome instability display overexpression of IGF2BP3 and PYCR1. Integration of single-cell and bulk transcriptome data predicts diverse cell-of-origin and clarifies RCC subtype-specific proteogenomic signatures. Expression of biomarkers MAPRE3, ADGRF5, and GPNMB differentiates renal oncocytoma from chromophobe RCC, and PIGR and SOSTDC1 distinguish papillary RCC …

Lacl3-Based Sodium Halide Solid Electrolytes With High Ionic Conductivity For All-Solid-State Batteries, Chengyu Fu, Yifan Li, Wenjie Xu, Xuyong Feng, Weijian Gu, Jue Liu, Wenwen Deng, Wei Wang, A M Milinda Abeykoon, Laisuo Su, Lingyun Zhu, Xiaojun Wu, Hongfa Xiang

Faculty, Staff and Student Publications

To enable high performance of all solid-state batteries, a catholyte should demonstrate high ionic conductivity, good compressibility and oxidative stability. Here, a LaCl3-based Na+ superionic conductor (Na1−xZrxLa1−xCl4) with high ionic conductivity of 2.9 × 10−4 S cm−1 (30 °C), good compressibility and high oxidative potential (3.80 V vs. Na2Sn) is prepared via solid state reaction combining mechanochemical method. X-ray diffraction reveals a hexagonal structure (P63/m) of Na1−xZrxLa1−xCl4, with Na+ ions forming a one-dimensional diffusion channel along the c-axis. First-principle calculations combining with …

Neurodevelopmental Outcomes After Late Preterm Antenatal Corticosteroids: The Alps Follow-Up Study, Cynthia Gyamfi-Bannerman, Rebecca G Clifton, Alan T N Tita, Sean C Blackwell, Monica Longo, Jessica A De Voest, T Michael O'Shea, Sabine Z Bousleiman, Felecia Ortiz, Dwight J Rouse, Torri D Metz, George R Saade, Kara M Rood, Kent D Heyborne, John M Thorp, Geeta K Swamy, William A Grobman, Kelly S Gibson, Yasser Y El-Sayed, George A Macones, Eunice Kennedy Shriver Maternal-Fetal Medicine Units Network

Faculty, Staff and Student Publications

Importance: The Antenatal Late Preterm Steroids (ALPS) trial changed clinical practice in the United States by finding that antenatal betamethasone at 34 to 36 weeks decreased short-term neonatal respiratory morbidity. However, the trial also found increased risk of neonatal hypoglycemia after betamethasone. This follow-up study focused on long-term neurodevelopmental outcomes after late preterm steroids.

Objective: To evaluate whether administration of late preterm (34-36 completed weeks) corticosteroids affected childhood neurodevelopmental outcomes.

Design, setting, and participants: Prospective follow-up study of children aged 6 years or older whose birthing parent had enrolled in the multicenter randomized clinical trial, conducted at 13 centers that …

Ciliary Tip Actin Dynamics Regulate Photoreceptor Outer Segment Integrity, Roly Megaw, Abigail Moye, Zhixian Zhang, Fay Newton, Fraser Mcphie, Laura C Murphy, Lisa Mckie, Feng He, Melissa K Jungnickel, Alex Von Kriegsheim, Peter A Tennant, Chloe Brotherton, Christine Gurniak, Alecia K Gross, Laura M Machesky, Theodore G Wensel, Pleasantine Mill

Faculty, Staff and Students Publications

As signalling organelles, cilia regulate their G protein-coupled receptor content by ectocytosis, a process requiring localised actin dynamics to alter membrane shape. Photoreceptor outer segments comprise an expanse of folded membranes (discs) at the tip of highly-specialised connecting cilia, into which photosensitive GPCRs are concentrated. Discs are shed and remade daily. Defects in this process, due to mutations, cause retinitis pigmentosa (RP). Whilst fundamental for vision, the mechanism of photoreceptor disc generation is poorly understood. Here, we show membrane deformation required for disc genesis is driven by dynamic actin changes in a process akin to ectocytosis. We show RPGR, a …

Comprehensive Proteogenomic Characterization Of Rare Kidney Tumors, Ginny Xiaohe Li, Yize Li, Nataly Naser Al Deen, Feng Chen, Wagma Caravan, Andrew Houston, Siqi Chen, Li Ding, Et Al.

2020-Current year OA Pubs

Non-clear cell renal cell carcinomas (non-ccRCCs) encompass diverse malignant and benign tumors. Refinement of differential diagnosis biomarkers, markers for early prognosis of aggressive disease, and therapeutic targets to complement immunotherapy are current clinical needs. Multi-omics analyses of 48 non-ccRCCs compared with 103 ccRCCs reveal proteogenomic, phosphorylation, glycosylation, and metabolic aberrations in RCC subtypes. RCCs with high genome instability display overexpression of IGF2BP3 and PYCR1. Integration of single-cell and bulk transcriptome data predicts diverse cell-of-origin and clarifies RCC subtype-specific proteogenomic signatures. Expression of biomarkers MAPRE3, ADGRF5, and GPNMB differentiates renal oncocytoma from chromophobe RCC, and PIGR and SOSTDC1 distinguish papillary RCC …

Targeting The Substrate For Atrial Fibrillation: Jacc Review Topic Of The Week, Mark D Mccauley, Gianluca Iacobellis, Na Li, Stanley Nattel, Jeffrey J Goldberger

Faculty, Staff and Students Publications

The identification of the pulmonary veins as a trigger source for atrial fibrillation (AF) has established pulmonary vein isolation (PVI) as a key target for AF ablation. However, PVI alone does not prevent recurrent AF in many patients, and numerous additional ablation strategies have failed to improve on PVI outcomes. This therapeutic limitation may be due, in part, to a failure to identify and intervene specifically on the pro-fibrillatory substrate within the atria and pulmonary veins. In this review paper, we highlight several emerging approaches with clinical potential that target atrial cardiomyopathy-the underlying anatomic, electrical, and/or autonomic disease affecting the …

The Macrophage Landscape Across The Lifespan Of A Human Cardiac Allograft, Xiao Li, Diwakar Turaga, Rich G Li, Chang-Ru Tsai, Julianna N Quinn, Yi Zhao, Ruby Wilson, Katherine Carlson, Jun Wang, Joseph A Spinner, Edward J Hickey, Iki Adachi, James F Martin

Faculty, Staff and Student Publications

Background: Much of our knowledge of organ rejection after transplantation is derived from rodent models.

Methods: We used single-nucleus RNA sequencing to investigate the inflammatory myocardial microenvironment in human pediatric cardiac allografts at different stages after transplantation. We distinguished donor- from recipient-derived cells using naturally occurring genetic variants embedded in single-nucleus RNA sequencing data.

Results: Donor-derived tissue resident macrophages, which accompany the allograft into the recipient, are lost over time after transplantation. In contrast, monocyte-derived macrophages from the recipient populate the heart within days after transplantation and form 2 macrophage populations: recipient MP1 and recipient MP2. Recipient MP2s have cell …

Graded Decisions In The Human Brain, Tao Xie, Markus Adamek, Hohyun Cho, Matthew A Adamo, Anthony L Ritaccio, Jon T Willie, Peter Brunner, Jan Kubanek

2020-Current year OA Pubs

Decision-makers objectively commit to a definitive choice, yet at the subjective level, human decisions appear to be associated with a degree of uncertainty. Whether decisions are definitive (i.e., concluding in all-or-none choices), or whether the underlying representations are graded, remains unclear. To answer this question, we recorded intracranial neural signals directly from the brain while human subjects made perceptual decisions. The recordings revealed that broadband gamma activity reflecting each individual's decision-making process, ramped up gradually while being graded by the accumulated decision evidence. Crucially, this grading effect persisted throughout the decision process without ever reaching a definite bound at the …

Sustained Response To Atogepant In Episodic Migraine: Post Hoc Analyses Of A 12-Week Randomized Trial And A 52-Week Long-Term Safety Trial, Richard Lipton, Stephanie J. Nahas, Patricia Pozo-Rosich, Tanya Bilchik, Peter Mcallister, Michelle Finnegan, Yingyi Liu, Natty Chalermpalanupap, Brett Dabruzzo, David Dodick

Department of Neurology Faculty Papers

BACKGROUND: Atogepant is an oral calcitonin gene-related peptide receptor antagonist approved for the preventive treatment of migraine in adults. These analyses evaluated the proportions of clinical trial participants who experienced sustained responses to atogepant over 12 or 52 weeks of treatment.

METHODS: These were post hoc analyses of ADVANCE, a 12-week, double-blind, randomized trial of atogepant 10, 30, and 60 mg once daily vs. placebo for the preventive treatment of episodic migraine, and a separate open-label long-term safety (LTS) trial of atogepant 60 mg once daily over 52 weeks. The 60 mg dose of atogepant was used to detect safety …

Systemic Inflammatory Markers Of Persistent Cerebral Edema After Aneurysmal Subarachnoid Hemorrhage, Nadia Khan, Magdalena Kurnik-Łucka, Gniewomir Latacz, Krzysztof Gil

Faculty, Staff and Student Publications

In the first part of this article, the role of intestinal epithelial tight junctions (TJs), together with gastrointestinal dopaminergic and renin-angiotensin systems, are narratively reviewed to provide sufficient background. In the second part, the current experimental data on the interplay between gastrointestinal (GI) dopaminergic and renin-angiotensin systems in the regulation of intestinal epithelial permeability are reviewed in a systematic manner using the PRISMA methodology. Experimental data confirmed the copresence of DOPA decarboxylase (DDC) and angiotensin converting enzyme 2 (ACE2) in human and rodent enterocytes. The intestinal barrier structure and integrity can be altered by angiotensin (1-7) and dopamine (DA). Both …