Digital Commons Network^™

Gender Differences In A Mouse Model Of Hepatocellular Carcinoma Revealed Using Multi-Modal Imaging, Brian J Engel, Vincenzo Paolillo, Md Nasir Uddin, Kristyn A Gonzales, Kathryn M Mcginnis, Margie N Sutton, Madhavi Patnana, Brian J Grindel, Gregory J Gores, David Piwnica-Worms, Laura Beretta, Federica Pisaneschi, Seth T Gammon, Steven W Millward

Faculty, Staff and Student Publications

The worldwide incidence of hepatocellular carcinoma (HCC) continues to rise, in part due to poor diet, limited exercise, and alcohol abuse. Numerous studies have suggested that the loss or mutation of PTEN plays a critical role in HCC tumorigenesis through the activation of the PI3K/Akt signaling axis. The homozygous knockout of PTEN in the livers of mice results in the accumulation of fat (steatosis), inflammation, fibrosis, and eventually progression to HCC. This phenotype bears a striking similarity to non-alcoholic steatohepatitis (NASH) which is thought to occupy an intermediate stage between non-alcoholic fatty liver disease (NAFLD), fibrosis, and HCC. The molecular …

Deep Learning-Based Tem Image Analysis For Fully Automated Detection Of Gold Nanoparticles Internalized Within Tumor Cell, Amrit Kaphle, Sandun Jayarathna, Hem Moktan, Maureen Aliru, Subhiksha Raghuram, Sunil Krishnan, Sang Hyun Cho

Faculty, Staff and Student Publications

Transmission electron microscopy (TEM) imaging can be used for detection/localization of gold nanoparticles (GNPs) within tumor cells. However, quantitative analysis of GNP-containing cellular TEM images typically relies on conventional/thresholding-based methods, which are manual, time-consuming, and prone to human errors. In this study, therefore, deep learning (DL)-based methods were developed for fully automated detection of GNPs from cellular TEM images. Several models of "you only look once (YOLO)" v5 were implemented, with a few adjustments to enhance the model's performance by applying the transfer learning approach, adjusting the size of the input image, and choosing the best optimization algorithm. Seventy-eight original …

Longitudinal Diffusion And Volumetric Kinetics Of Head And Neck Cancer Magnetic Resonance On A 15 T Mr-Linear Accelerator Hybrid System: A Prospective R-Ideal Stage 2a Imaging Biomarker Characterization/Pre-Qualification Study, Joint Head And Neck Radiation Therapy-Mri Development Cooperative, Mr-Linac Consortium Head And Neck Tumor Site Group

Faculty, Staff and Student Publications

Objectives: We aim to characterize the serial quantitative apparent diffusion coefficient (ADC) changes of the target disease volume using diffusion-weighted imaging (DWI) acquired weekly during radiation therapy (RT) on a 1.5 T MR-Linac and correlate these changes with tumor response and oncologic outcomes for head and neck squamous cell carcinoma (HNSCC) patients as part of a programmatic R-IDEAL biomarker characterization effort.

Methods:Thirty patients with HNSCC who received curative-intent RT at MD Anderson Cancer Center, were included. Baseline and weekly MRI were obtained, and various ADC parameters were extracted from the regions of interest (ROIs). Baseline and weekly ADC parameters were …

Simplified And Highly-Reliable Automated Production Of [8f]Fspg For Clinical Studies, Mai Lin, Robert T Ta, H Charles Manning

Faculty, Staff and Student Publications

Background: (S)-4-(3-18F-Fluoropropyl)-L-Glutamic Acid ([18F]FSPG) is a positron emission tomography (PET) tracer that specifically targets the cystine/glutamate antiporter (xc-), which is frequently overexpressed in cancer and several neurological disorders. Pilot studies examining the dosimetry and biodistribution of [18F]FSPG in healthy volunteers and tumor detection in patients with non-small cell lung cancer, hepatocellular carcinoma, and brain tumors showed promising results. In particular, low background uptake in the brain, lung, liver, and bowel was observed that further leads to excellent imaging contrasts of [18F]FSPG PET. However, reliable production-scale cGMP-compliant automated procedures for [18F]FSPG production are still lacking to further increase the utility and …

Adaptation And Formative Evaluation Of Online Decision Support To Implement Evidence-Based Strategies To Increase Hpv Vaccination Rates In Pediatric Clinics, Ross Shegog, Lara S Savas, Erica L Frost, Laura C Thormaehlen, Travis Teague, Jack Steffy, Catherine Mary Healy, Laura Aubree Shay, Sharice Preston, Sally W Vernon

Faculty, Staff and Student Publications

Human papilloma virus (HPV) vaccination rates remain below national goals in the United States despite the availability of evidence-based strategies to increase rates. The Adolescent Vaccination Program (AVP) is a multi-component intervention demonstrated to increase HPV vaccination rates in pediatric clinics through the implementation of six evidence-based strategies. The purpose of this study, conducted in Houston, Texas, from 2019-2021, was to adapt the AVP into an online decision support implementation tool for standalone use and to evaluate its feasibility for use in community clinics. Phase 1 (Adaptation) comprised clinic interviews (

The Impact Framework And Implementation For Accessible In Silico Clinical Phenotyping In The Digital Era, Andrew Wen, Huan He, Sunyang Fu, Sijia Liu, Kurt Miller, Liwei Wang, Kirk E Roberts, Steven D Bedrick, William R Hersh, Hongfang Liu

Faculty, Staff and Student Publications

Clinical phenotyping is often a foundational requirement for obtaining datasets necessary for the development of digital health applications. Traditionally done via manual abstraction, this task is often a bottleneck in development due to time and cost requirements, therefore raising significant interest in accomplishing this task via in-silico means. Nevertheless, current in-silico phenotyping development tends to be focused on a single phenotyping task resulting in a dearth of reusable tools supporting cross-task generalizable in-silico phenotyping. In addition, in-silico phenotyping remains largely inaccessible for a substantial portion of potentially interested users. Here, we highlight the barriers to the usage of in-silico phenotyping …

Genome-Wide Crispr-Cas9 Screen Analyzed By Slider Identifies Network Of Repressor Complexes That Regulate Trim24, Lalit R Patel, Sabrina A Stratton, Megan Mclaughlin, Patrick Krause, Kendra Allton, Andrés López Rivas, Daniela Barbosa, Traver Hart, Michelle C Barton

Faculty, Staff and Student Publications

TRIM24 is an oncogenic chromatin reader that is frequently overexpressed in human tumors and associated with poor prognosis. However, TRIM24 is rarely mutated, duplicated, or rearranged in cancer. This raises questions about how TRIM24 is regulated and what changes in its regulation are responsible for its overexpression. Here, we perform a genome-wide CRISPR-Cas9 screen by fluorescence-activated cell sorting (FACS) that nominated 220 negative regulators and elucidated a regulatory network that includes the KAP1 corepressor, CNOT deadenylase, and GID/CTLH E3 ligase. Knocking out required components of these three complexes caused TRIM24 overexpression, confirming their negative regulation of TRIM24. Our findings …

Single-Cell Sequencing Reveals The Landscape Of The Human Brain Metastatic Microenvironment, Qianqian Song, Jimmy Ruiz, Fei Xing, Hui-Wen Lo, Lou Craddock, Ashok K Pullikuth, Lance D Miller, Michael H Soike, Stacey S O'Neill, Kounosuke Watabe, Michael D Chan, Jing Su

Faculty, Staff and Student Publications

Brain metastases is the most common intracranial tumor and account for approximately 20% of all systematic cancer cases. It is a leading cause of death in advanced-stage cancer, resulting in a five-year overall survival rate below 10%. Therefore, there is a critical need to identify effective biomarkers that can support frequent surveillance and promote efficient drug guidance in brain metastasis. Recently, the remarkable breakthroughs in single-cell RNA-sequencing (scRNA-seq) technology have advanced our insights into the tumor microenvironment (TME) at single-cell resolution, which offers the potential to unravel the metastasis-related cellular crosstalk and provides the potential for improving therapeutic effects mediated …

Study Of Polytopic Membrane Protein Topological Organization As A Function Of Membrane Lipid Composition, Takefumi Morizumi, Kyumhyuk Kim, Hai Li, Elena G Govorunova, Oleg A Sineshchekov, Yumei Wang, Lei Zheng, Éva Bertalan, Ana-Nicoleta Bondar, Azam Askari, Leonid S Brown, John L Spudich, Oliver P Ernst

Faculty, Staff and Student Publications

Kalium channelrhodopsin 1 from Hyphochytrium catenoides (HcKCR1) is a light-gated channel used for optogenetic silencing of mammalian neurons. It selects K+ over Na+ in the absence of the canonical tetrameric K+ selectivity filter found universally in voltage- and ligand-gated channels. The genome of H. catenoides also encodes a highly homologous cation channelrhodopsin (HcCCR), a Na+ channel with >100-fold larger Na+ to K+ permeability ratio. Here, we use cryo-electron microscopy to determine atomic structures of these two channels embedded in peptidiscs to elucidate structural foundations of their dramatically different cation selectivity. Together with structure-guided mutagenesis, we show that K+ versus Na+ …

Multi-Campaign Ship And Aircraft Observations Of Marine Cloud Condensation Nuclei And Droplet Concentrations, Kevin J Sanchez, David Painemal, Matthew D Brown, Ewan C Crosbie, Francesca Gallo, Johnathan W Hair, Chris A Hostetler, Carolyn E Jordan, Claire E Robinson, Amy Jo Scarino, Taylor J Shingler, Michael A Shook, Kenneth L Thornhill, Elizabeth B Wiggins, Edward L Winstead, Luke D Ziemba, Scott Chambers, Alastair Williams, Ruhi S Humphries, Melita D Keywood, Jason P Ward, Luke Cravigan, Ian M Mcrobert, Connor Flynn, Gourihar R Kulkarni, Lynn M Russell, Gregory C Roberts, Greg M Mcfarquhar, Athanasios Nenes, Sarah F Woods, Jeffery S Reid, Jennifer Small-Griswold, Sarah Brooks, Simon Kirschler, Christianne Voigt, Jian Wang, David J Delene, Patricia K Quinn, Richard H Moore

Faculty, Staff and Student Publications

In-situ marine cloud droplet number concentrations (CDNCs), cloud condensation nuclei (CCN), and CCN proxies, based on particle sizes and optical properties, are accumulated from seven field campaigns: ACTIVATE; NAAMES; CAMP2EX; ORACLES; SOCRATES; MARCUS; and CAPRICORN2. Each campaign involves aircraft measurements, ship-based measurements, or both. Measurements collected over the North and Central Atlantic, Indo-Pacific, and Southern Oceans, represent a range of clean to polluted conditions in various climate regimes. With the extensive range of environmental conditions sampled, this data collection is ideal for testing satellite remote detection methods of CDNC and CCN in marine environments. Remote measurement methods are vital to …

Genome-Wide Identification And Phenotypic Characterization Of Seizure-Associated Copy Number Variations In 741,075 Individuals, Ludovica Montanucci, David Lewis-Smith, Ryan L Collins, Lisa-Marie Niestroj, Shridhar Parthasarathy, Julie Xian, Shiva Ganesan, Marie Macnee, Tobias Brünger, Rhys H Thomas, Michael Talkowski, Epi25 Collaborative, Ingo Helbig, Costin Leu, Dennis Lal

Faculty, Staff and Student Publications

Copy number variants (CNV) are established risk factors for neurodevelopmental disorders with seizures or epilepsy. With the hypothesis that seizure disorders share genetic risk factors, we pooled CNV data from 10,590 individuals with seizure disorders, 16,109 individuals with clinically validated epilepsy, and 492,324 population controls and identified 25 genome-wide significant loci, 22 of which are novel for seizure disorders, such as deletions at 1p36.33, 1q44, 2p21-p16.3, 3q29, 8p23.3-p23.2, 9p24.3, 10q26.3, 15q11.2, 15q12-q13.1, 16p12.2, 17q21.31, duplications at 2q13, 9q34.3, 16p13.3, 17q12, 19p13.3, 20q13.33, and reciprocal CNVs at 16p11.2, and 22q11.21. Using genetic data from additional 248,751 individuals with 23 neuropsychiatric phenotypes, …

A Novel Statistical Method For Decontaminating T-Cell Receptor Sequencing Data, Ruoxing Li, Mehmet Altan, Alexandre Reuben, Ruitao Lin, John V Heymach, Hai Tran, Runzhe Chen, Latasha Little, Shawna Hubert, Jianjun Zhang, Ziyi Li

Faculty, Staff and Student Publications

The T-cell receptor (TCR) repertoire is highly diverse among the population and plays an essential role in initiating multiple immune processes. TCR sequencing (TCR-seq) has been developed to profile the T cell repertoire. Similar to other high-throughput experiments, contamination can happen during several steps of TCR-seq, including sample collection, preparation and sequencing. Such contamination creates artifacts in the data, leading to inaccurate or even biased results. Most existing methods assume 'clean' TCR-seq data as the starting point with no ability to handle data contamination. Here, we develop a novel statistical model to systematically detect and remove contamination in TCR-seq data. …

Measuring And Enhancing The Ionic Conductivity Of Chloroaluminate Electrolytes For Al-Ion Batteries, Anthony J Lucio, Iwan Sumarlan, Elena Bulmer, Igor Efimov, Stephen Viles, A Robert Hillman, Christopher J Zaleski, Karl S Ryder

Faculty, Staff and Student Publications

At the core of the aluminum (Al) ion battery is the liquid electrolyte, which governs the underlying chemistry. Optimizing the rheological properties of the electrolyte is critical to advance the state of the art. In the present work, the chloroaluminate electrolyte is made by reacting AlCl3 with a recently reported acetamidinium chloride (Acet-Cl) salt in an effort to make a more performant liquid electrolyte. Using AlCl3:Acet-Cl as a model electrolyte, we build on our previous work, which established a new method for extracting the ionic conductivity from fitting voltammetric data, and in this contribution, we validate the method across a …

Structures Of Channelrhodopsin Paralogs In Peptidiscs Explain Their Contrasting K+ And Na+ Selectivities, Takefumi Morizumi, Kyumhyuk Kim, Hai Li, Elena G Govorunova, Oleg A Sineshchekov, Yumei Wang, Lei Zheng, Éva Bertalan, Ana-Nicoleta Bondar, Azam Askari, Leonid S Brown, John L Spudich, Oliver P Ernst

Faculty, Staff and Student Publications

Kalium channelrhodopsin 1 from Hyphochytrium catenoides (HcKCR1) is a light-gated channel used for optogenetic silencing of mammalian neurons. It selects K+ over Na+ in the absence of the canonical tetrameric K+ selectivity filter found universally in voltage- and ligand-gated channels. The genome of H. catenoides also encodes a highly homologous cation channelrhodopsin (HcCCR), a Na+ channel with >100-fold larger Na+ to K+ permeability ratio. Here, we use cryo-electron microscopy to determine atomic structures of these two channels embedded in peptidiscs to elucidate structural foundations of their dramatically different cation selectivity. Together with structure-guided mutagenesis, we show …

Metastatic Infiltration Of Nervous Tissue And Periosteal Nerve Sprouting In Multiple Myeloma-Induced Bone Pain In Mice And Human, Marta Diaz-Delcastillo, Oana Palasca, Tim T Nemler, Didde M Thygesen, Norma A Chávez-Saldaña, Juan A Vázquez-Mora, Lizeth Y Ponce Gomez, Lars Juhl Jensen, Holly Evans, Rebecca E Andrews, Aritri Mandal, David Neves, Patrick Mehlen, James P Caruso, Patrick M Dougherty, Theodore J Price, Andrew Chantry, Michelle A Lawson, Thomas L Andersen, Juan M Jimenez-Andrade, Anne-Marie Heegaard

Faculty, Staff and Student Publications

Multiple myeloma (MM) is a neoplasia of B plasma cells that often induces bone pain. However, the mechanisms underlying myeloma-induced bone pain (MIBP) are mostly unknown. Using a syngeneic MM mouse model, we show that periosteal nerve sprouting of calcitonin gene-related peptide (CGRP+) and growth associated protein 43 (GAP43+) fibers occurs concurrent to the onset of nociception and its blockade provides transient pain relief. MM patient samples also showed increased periosteal innervation. Mechanistically, we investigated MM induced gene expression changes in the dorsal root ganglia (DRG) innervating the MM-bearing bone of male mice and found alterations in pathways associated with …

Metastatic Infiltration Of Nervous Tissue And Periosteal Nerve Sprouting In Multiple Myeloma-Induced Bone Pain In Mice And Human, Marta Diaz-Delcastillo, Oana Palasca, Tim T Nemler, Didde M Thygesen, Norma A Chávez-Saldaña, Juan A Vázquez-Mora, Lizeth Y Ponce Gomez, Lars Juhl Jensen, Holly Evans, Rebecca E Andrews, Aritri Mandal, David Neves, Patrick Mehlen, James P Caruso, Patrick M Dougherty, Theodore J Price, Andrew Chantry, Michelle A Lawson, Thomas L Andersen, Juan M Jimenez-Andrade, Anne-Marie Heegaard

Faculty, Staff and Student Publications

Multiple myeloma (MM) is a neoplasia of B plasma cells that often induces bone pain. However, the mechanisms underlying myeloma-induced bone pain (MIBP) are mostly unknown. Using a syngeneic MM mouse model, we show that periosteal nerve sprouting of calcitonin gene-related peptide (CGRP+) and growth associated protein 43 (GAP43+) fibers occurs concurrent to the onset of nociception and its blockade provides transient pain relief. MM patient samples also showed increased periosteal innervation. Mechanistically, we investigated MM induced gene expression changes in the dorsal root ganglia (DRG) innervating the MM-bearing bone of male mice and found alterations in pathways associated with …

Proteomics Analysis Of Plasma From Middle-Aged Adults Identifies Protein Markers Of Dementia Risk In Later Life, Keenan A Walker, Jingsha Chen, Liu Shi, Yunju Yang, Myriam Fornage, Linda Zhou, Pascal Schlosser, Aditya Surapaneni, Morgan E Grams, Michael R Duggan, Zhongsheng Peng, Gabriela T Gomez, Adrienne Tin, Ron C Hoogeveen, Kevin J Sullivan, Peter Ganz, Joni V Lindbohm, Mika Kivimaki, Alejo J Nevado-Holgado, Noel Buckley, Rebecca F Gottesman, Thomas H Mosley, Eric Boerwinkle, Christie M Ballantyne, Josef Coresh

Faculty, Staff and Student Publications

A diverse set of biological processes have been implicated in the pathophysiology of Alzheimer's disease (AD) and related dementias. However, there is limited understanding of the peripheral biological mechanisms relevant in the earliest phases of the disease. Here, we used a large-scale proteomics platform to examine the association of 4877 plasma proteins with 25-year dementia risk in 10,981 middle-aged adults. We found 32 dementia-associated plasma proteins that were involved in proteostasis, immunity, synaptic function, and extracellular matrix organization. We then replicated the association between 15 of these proteins and clinically relevant neurocognitive outcomes in two independent cohorts. We demonstrated that …

Timigp: Inferring Cell-Cell Interactions And Prognostic Associations In The Tumor Immune Microenvironment Through Gene Pairs, Chenyang Li, Baoyi Zhang, Evelien Schaafsma, Alexandre Reuben, Linghua Wang, Mary Jo Turk, Jianjun Zhang, Chao Cheng

Faculty, Staff and Student Publications

Determining the prognostic association of different immune cell types in the tumor microenvironment is critical for understanding cancer biology and developing new therapeutic strategies. However, this is challenging in certain cancer types, where the abundance of different immune subsets is highly correlated. In this study, we develop a computational method named TimiGP to overcome this challenge. Based on bulk gene expression and survival data, TimiGP infers cell-cell interactions that reveal the association between immune cell relative abundance and prognosis. As demonstrated in metastatic melanoma, TimiGP prioritizes immune cells critical in prognosis based on the identified cell-cell interactions. Highly consistent results …

Integrating Genetics And Metabolomics From Multi-Ethnic And Multi-Fluid Data Reveals Putative Mechanisms For Age-Related Macular Degeneration, Xikun Han, Ines Lains, Jun Li, Jinglun Li, Yiheng Chen, Bing Yu, Qibin Qi, Eric Boerwinkle, Robert Kaplan, Bharat Thyagarajan, Martha Daviglus, Charlotte E Joslin, Jianwen Cai, Marta Guasch-Ferré, Deirdre K Tobias, Eric Rimm, Alberto Ascherio, Karen Costenbader, Elizabeth Karlson, Lorelei Mucci, A Heather Eliassen, Oana Zeleznik, John Miller, Demetrios G Vavvas, Ivana K Kim, Rufino Silva, Joan Miller, Frank Hu, Walter Willett, Jessica Lasky-Su, Peter Kraft, J Brent Richards, Stuart Macgregor, Deeba Husain, Liming Liang

Faculty, Staff and Student Publications

Age-related macular degeneration (AMD) is a leading cause of blindness in older adults. Investigating shared genetic components between metabolites and AMD can enhance our understanding of its pathogenesis. We conduct metabolite genome-wide association studies (mGWASs) using multi-ethnic genetic and metabolomic data from up to 28,000 participants. With bidirectional Mendelian randomization analysis involving 16,144 advanced AMD cases and 17,832 controls, we identify 108 putatively causal relationships between plasma metabolites and advanced AMD. These metabolites are enriched in glycerophospholipid metabolism, lysophospholipid, triradylcglycerol, and long chain polyunsaturated fatty acid pathways. Bayesian genetic colocalization analysis and a customized metabolome-wide association approach prioritize putative causal …

Psychosocial Impacts Of The Covid-19 Pandemic On Women With Spinal Cord Injury, Heather B Taylor, Rosemary B Hughes, Diana Gonzalez, Muna Bhattarai, Susan Robinson-Whelen

Faculty, Staff and Student Publications

This study represents the first known research addressing the impact of the COVID-19 pandemic on women with spinal cord injury (SCI) in the United States. Women in this population face unique barriers that put them at elevated risk for compromised quality of life, risk that was magnified by physical and social restrictions imposed during the pandemic. This qualitative study examined the perceptions of women with SCI and the effect of the pandemic on their lives. The predominantly White and relatively well-educated sample of 105 women with traumatic SCI was diverse in age, injury characteristics, and geographic representation. Recruited across the …

Impact Of Mir196a-2 Genotypes On Colorectal Cancer Risk In Taiwan, Te-Cheng Yueh, Yun-Chi Wang, Yu-Ting Chin, Yi-Chih Hung, Mei-Chin Mong, Ya-Chen Yang, Jen-Sheng Pei, Jian Gu, Chia-Wen Tsai, Da-Tian Bau, Wen-Shin Chang

Faculty, Staff and Student Publications

We aimed to investigate the association between genotypes for

Ancestry-Driven Metabolite Variation Provides Insights Into Disease States In Admixed Populations, Kaylia M Reynolds, Andrea R V R Horimoto, Bridget M Lin, Ying Zhang, Nuzulul Kurniansyah, Bing Yu, Eric Boerwinkle, Qibin Qi, Robert Kaplan, Martha Daviglus, Lifang Hou, Laura Y Zhou, Jianwen Cai, Saame Raza Shaikh, Tamar Sofer, Sharon R Browning, Nora Franceschini

Faculty, Staff and Student Publications

BACKGROUND: Metabolic pathways are related to physiological functions and disease states and are influenced by genetic variation and environmental factors. Hispanics/Latino individuals have ancestry-derived genomic regions (local ancestry) from their recent admixture that have been less characterized for associations with metabolite abundance and disease risk.

METHODS: We performed admixture mapping of 640 circulating metabolites in 3887 Hispanic/Latino individuals from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Metabolites were quantified in fasting serum through non-targeted mass spectrometry (MS) analysis using ultra-performance liquid chromatography-MS/MS. Replication was performed in 1856 nonoverlapping HCHS/SOL participants with metabolomic data.

RESULTS: By leveraging local ancestry, this …

Anoctamin 4 Channel Currents Activate Glucose-Inhibited Neurons In The Mouse Ventromedial Hypothalamus During Hypoglycemia, Longlong Tu, Jonathan C Bean, Yang He, Hailan Liu, Meng Yu, Hesong Liu, Nan Zhang, Na Yin, Junying Han, Nikolas A Scarcelli, Kristine M Conde, Mengjie Wang, Yongxiang Li, Bing Feng, Peiyu Gao, Zhao-Lin Cai, Makoto Fukuda, Mingshan Xue, Qingchun Tong, Yongjie Yang, Lan Liao, Jianming Xu, Chunmei Wang, Yanlin He, Yong Xu

Faculty, Staff and Student Publications

Glucose is the basic fuel essential for maintenance of viability and functionality of all cells. However, some neurons - namely, glucose-inhibited (GI) neurons - paradoxically increase their firing activity in low-glucose conditions and decrease that activity in high-glucose conditions. The ionic mechanisms mediating electric responses of GI neurons to glucose fluctuations remain unclear. Here, we showed that currents mediated by the anoctamin 4 (Ano4) channel are only detected in GI neurons in the ventromedial hypothalamic nucleus (VMH) and are functionally required for their activation in response to low glucose. Genetic disruption of the Ano4 gene in VMH neurons reduced blood …

Actionability Classification Of Variants Of Unknown Significance Correlates With Functional Effect, Amber Johnson, Patrick Kwok-Shing Ng, Michael Kahle, Julia Castillo, Bianca Amador, Yujia Wang, Jia Zeng, Vijaykumar Holla, Thuy Vu, Fei Su, Sun-Hee Kim, Tara Conway, Xianli Jiang, Ken Chen, Kenna R Mills Shaw, Timothy A Yap, Jordi Rodon, Gordon B Mills, Funda Meric-Bernstam

Faculty, Staff and Student Publications

Genomically-informed therapy requires consideration of the functional impact of genomic alterations on protein expression and/or function. However, a substantial number of variants are of unknown significance (VUS). The MD Anderson Precision Oncology Decision Support (PODS) team developed an actionability classification scheme that categorizes VUS as either "Unknown" or "Potentially" actionable based on their location within functional domains and/or proximity to known oncogenic variants. We then compared PODS VUS actionability classification with results from a functional genomics platform consisting of mutant generation and cell viability assays. 106 (24%) of 438 VUS in 20 actionable genes were classified as oncogenic in functional …

An Observational Study To Develop A Predictive Model For Bacterial Pneumonia Diagnosis In Severe Covid-19 Patients-C19-Pneumoscore, Eloisa Sofia Tanzarella, Joel Vargas, Marco Menghini, Stefania Postorino, Francesca Pozzana, Maria Sole Vallecoccia, Francesco Lorenzo De Matteis, Federico Franchi, Amato Infante, Luigi Larosa, Maria Antonietta Mazzei, Salvatore Lucio Cutuli, Domenico Luca Grieco, Alessandra Bisanti, Simone Carelli, Gianmarco Lombardi, Edoardo Piervincenzi, Gabriele Pintaudi, Tommaso Pirronti, Mario Tumbarello, Massimo Antonelli, Gennaro De Pascale

Faculty, Staff and Student Publications

In COVID-19 patients, antibiotics overuse is still an issue. A predictive scoring model for the diagnosis of bacterial pneumonia at intensive care unit (ICU) admission would be a useful stewardship tool. We performed a multicenter observational study including 331 COVID-19 patients requiring invasive mechanical ventilation at ICU admission; 179 patients with bacterial pneumonia; and 152 displaying negative lower-respiratory samplings. A multivariable logistic regression model was built to identify predictors of pulmonary co-infections, and a composite risk score was developed using β-coefficients. We identified seven variables as predictors of bacterial pneumonia: vaccination status (OR 7.01; 95% CI, 1.73-28.39); chronic kidney disease …

Analysis Of Performance And Failure Modes Of The Iroc Proton Liver Phantom, Hunter Mehrens, Paige Taylor, Paola Alvarez, Stephen Kry

Faculty, Staff and Student Publications

Purpose: To analyze trends in institutional performance and failure modes for the Imaging and Radiation Oncology Core’s (IROC’s) proton liver phantom.

Materials and Methods: Results of 66 phantom irradiations from 28 institutions between 2015 and 2020 were retrospectively analyzed. Univariate analysis and random forest models were used to associate irradiation conditions with phantom results. Phantom results included pass/fail classification, average thermoluminescent dosimeter (TLD) ratio of both targets, and percentage of pixels passing gamma of both targets. The following categories were evaluated in terms of how they predicted these outcomes: irradiation year, treatment planning system (TPS), TPS algorithm, treatment machine, number …

High Throughput Single Cell Long-Read Sequencing Analyses Of Same-Cell Genotypes And Phenotypes In Human Tumors, Cheng-Kai Shiau, Lina Lu, Rachel Kieser, Kazutaka Fukumura, Timothy Pan, Hsiao-Yun Lin, Jie Yang, Eric L Tong, Gahyun Lee, Yuanqing Yan, Jason T Huse, Ruli Gao

Faculty, Staff and Student Publications

Single-cell nanopore sequencing of full-length mRNAs transforms single-cell multi-omics studies. However, challenges include high sequencing errors and dependence on short-reads and/or barcode whitelists. To address these, we develop scNanoGPS to calculate same-cell genotypes (mutations) and phenotypes (gene/isoform expressions) without short-read nor whitelist guidance. We apply scNanoGPS onto 23,587 long-read transcriptomes from 4 tumors and 2 cell-lines. Standalone, scNanoGPS deconvolutes error-prone long-reads into single-cells and single-molecules, and simultaneously accesses both phenotypes and genotypes of individual cells. Our analyses reveal that tumor and stroma/immune cells express distinct combination of isoforms (DCIs). In a kidney tumor, we identify 924 DCI genes involved in …

Propensity Score Analysis With Local Balance, Yan Li, Liang Li

Faculty, Staff and Student Publications

Most propensity score (PS) analysis methods rely on a correctly specified parametric PS model, which may result in biased estimation of the average treatment effect (ATE) when the model is misspecified. More flexible nonparametric models for treatment assignment alleviate this issue, but they do not always guarantee covariate balance. Methods that force balance in the means of covariates and their transformations between the treatment groups, termed global balance in this article, do not always lead to unbiased estimation of ATE. Their estimated propensity scores only ensure global balance but not the balancing property, which is defined as the conditional independence …

Using Predictive Validity To Compare Associations Between Brain Damage And Behavior, John F Magnotti, Jaclyn S Patterson, Tatiana T Schnur

Faculty, Staff and Student Publications

Lesion-behavior mapping (LBM) provides a statistical map of the association between voxel-wise brain damage and individual differences in behavior. To understand whether two behaviors are mediated by damage to distinct regions, researchers often compare LBM weight outputs by either the Overlap method or the Correlation method. However, these methods lack statistical criteria to determine whether two LBM are distinct versus the same and are disconnected from a major goal of LBMs: predicting behavior from brain damage. Without such criteria, researchers may draw conclusions from numeric differences between LBMs that are irrelevant to predicting behavior. We developed and validated a predictive …

Balloon Dilatation In The Management Of Congenital Obstructive Lesions Of The Heart: Review Of Author's Experiences And Observations-Part Ii, P Syamasundar Rao

Faculty, Staff and Student Publications

While investigating the outcomes of balloon dilatation procedures in patients with congenital obstructive lesions of the heart, several parallel observations were made. The purpose of this review is to present these observations/phenomena/innovations related to balloon dilatation of pulmonary stenosis (PS), aortic stenosis (AS), and aortic coarctation (AC). In subjects who had balloon pulmonary valvuloplasty (BPV), development of infundibular obstruction, electrocardiographic (ECG) changes, changes in right ventricular filling, role of balloon/annulus ratios on the results of BPV, and double balloon vs. single balloon BPV will be reviewed. In patients who had balloon aortic valvuloplasty (BAV), causes of aortic insufficiency and trans-umbilical …