Medical Genetics Commons^™

Combining Tumor Segmentation Masks With Pet/Ct Images And Clinical Data In A Deep Learning Framework For Improved Prognostic Prediction In Head And Neck Squamous Cell Carcinoma, Kareem A Wahid, Renjie He, Cem Dede, Abdallah S R Mohamed, Moamen Abobakr Abdelaal, Lisanne V Van Dijk, Clifton D Fuller, Mohamed A Naser

Faculty, Staff and Student Publications

PET/CT images provide a rich data source for clinical prediction models in head and neck squamous cell carcinoma (HNSCC). Deep learning models often use images in an end-to-end fashion with clinical data or no additional input for predictions. However, in the context of HNSCC, the tumor region of interest may be an informative prior in the generation of improved prediction performance. In this study, we utilize a deep learning framework based on a DenseNet architecture to combine PET images, CT images, primary tumor segmentation masks, and clinical data as separate channels to predict progression-free survival (PFS) in days for HNSCC …

Establishment And Validation Of Pre-Therapy Cervical Vertebrae Muscle Quantification As A Prognostic Marker Of Sarcopenia In Patients With Head And Neck Cancer, Brennan Olson, Jared Edwards, Catherine Degnin, Nicole Santucci, Michelle Buncke, Jeffrey Hu, Yiyi Chen, Clifton D Fuller, Mathew Geltzeiler, Aaron J Grossberg, Daniel Clayburgh

Faculty, Staff and Student Publications

Background: Sarcopenia is prognostic for survival in patients with head and neck cancer (HNC). However, identification of this high-risk feature remains challenging without computed tomography (CT) imaging of the abdomen or thorax. Herein, we establish sarcopenia thresholds at the C3 level and determine if C3 sarcopenia is associated with survival in patients with HNC.

Methods: This retrospective cohort study was conducted in consecutive patients with a squamous cell carcinoma of the head and neck with cross-sectional abdominal or neck imaging within 60 days prior to treatment. Measurement of cross-sectional muscle area at L3 and C3 levels was performed from CT …

Deep-Learning-Based Generation Of Synthetic 6-Minute Mri From 2-Minute Mri For Use In Head And Neck Cancer Radiotherapy, Kareem A Wahid, Jiaofeng Xu, Dina El-Habashy, Yomna Khamis, Moamen Abobakr, Brigid Mcdonald, Nicolette O' Connell, Daniel Thill, Sara Ahmed, Christina Setareh Sharafi, Kathryn Preston, Travis C Salzillo, Abdallah S R Mohamed, Renjie He, Nathan Cho, John Christodouleas, Clifton D Fuller, Mohamed A Naser

Faculty, Staff and Student Publications

Background: Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio are typically acquired for daily MRI-guided radiotherapy setup. However, for patients with head and neck (HN) cancer, these images are often insufficient for discriminating target volumes and organs at risk (OARs). In this study, we investigated a deep learning (DL) approach to generate high-quality synthetic images from low-quality images.

Methods: We used 108 unique HN image sets of paired 2-minute T2-weighted scans (2mMRI) and 6-minute T2-weighted scans (6mMRI). 90 image sets (~20,000 slices) were used to train a 2-dimensional generative adversarial DL model that utilized 2mMRI as input and …

Head And Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling Of Deep Learning In Pet/Ct Images, Mohamed A Naser, Kareem A Wahid, Lisanne V Van Dijk, Renjie He, Moamen Abobakr Abdelaal, Cem Dede, Abdallah S R Mohamed, Clifton D Fuller

Faculty, Staff and Student Publications

Auto-segmentation of primary tumors in oropharyngeal cancer using PET/CT images is an unmet need that has the potential to improve radiation oncology workflows. In this study, we develop a series of deep learning models based on a 3D Residual Unet (ResUnet) architecture that can segment oropharyngeal tumors with high performance as demonstrated through internal and external validation of large-scale datasets (training size = 224 patients, testing size = 101 patients) as part of the 2021 HECKTOR Challenge. Specifically, we leverage ResUNet models with either 256 or 512 bottleneck layer channels that demonstrate internal validation (10-fold cross-validation) mean Dice similarity coefficient …

Re-Thinking Therapeutic Development For Cns Metastatic Disease, Chantal Saberian, Michael A Davies

Faculty, Staff and Student Publications

There has been unprecedented progress in the development of systemic therapies for patients with metastatic melanoma over the last decade. There is now tremendous potential and momentum to further and markedly reduce the impact of this disease. However, developing more effective treatments for metastases to the CNS remains a critical challenge for patients with melanoma. Melanoma patients with active CNS metastases have largely been excluded from both early-phase and registration trials for all currently approved targeted and immune therapies for this disease. While this exclusion has generally been justified in clinical research due to concerns about poor prognosis, lack of …

Deep Learning Auto-Segmentation Of Cervical Skeletal Muscle For Sarcopenia Analysis In Patients With Head And Neck Cancer, Mohamed A Naser, Kareem A Wahid, Aaron J Grossberg, Brennan Olson, Rishab Jain, Dina El-Habashy, Cem Dede, Vivian Salama, Moamen Abobakr, Abdallah S R Mohamed, Renjie He, Joel Jaskari, Jaakko Sahlsten, Kimmo Kaski, Clifton D Fuller

Faculty, Staff and Student Publications

Background/purpose: Sarcopenia is a prognostic factor in patients with head and neck cancer (HNC). Sarcopenia can be determined using the skeletal muscle index (SMI) calculated from cervical neck skeletal muscle (SM) segmentations. However, SM segmentation requires manual input, which is time-consuming and variable. Therefore, we developed a fully-automated approach to segment cervical vertebra SM.

Materials/methods: 390 HNC patients with contrast-enhanced CT scans were utilized (300-training, 90-testing). Ground-truth single-slice SM segmentations at the C3 vertebra were manually generated. A multi-stage deep learning pipeline was developed, where a 3D ResUNet auto-segmented the C3 section (33 mm window), the middle slice of the …

Evaluation Of Deep Learning-Based Multiparametric Mri Oropharyngeal Primary Tumor Auto-Segmentation And Investigation Of Input Channel Effects: Results From A Prospective Imaging Registry, Kareem A Wahid, Sara Ahmed, Renjie He, Lisanne V Van Dijk, Jonas Teuwen, Brigid A Mcdonald, Vivian Salama, Abdallah S R Mohamed, Travis Salzillo, Cem Dede, Nicolette Taku, Stephen Y Lai, Clifton D Fuller, Mohamed A Naser

Faculty, Staff and Student Publications

Background/purpose: Oropharyngeal cancer (OPC) primary gross tumor volume (GTVp) segmentation is crucial for radiotherapy. Multiparametric MRI (mpMRI) is increasingly used for OPC adaptive radiotherapy but relies on manual segmentation. Therefore, we constructed mpMRI deep learning (DL) OPC GTVp auto-segmentation models and determined the impact of input channels on segmentation performance.

Materials/methods: GTVp ground truth segmentations were manually generated for 30 OPC patients from a clinical trial. We evaluated five mpMRI input channels (T2, T1, ADC, Ktrans, Ve). 3D Residual U-net models were developed and assessed using leave-one-out cross-validation. A baseline T2 model was compared to mpMRI models (T2 + T1, …

Behavioural Immune Landscapes Of Inflammation, Georgiana Crainiciuc, Miguel Palomino-Segura, Miguel Molina-Moreno, Jon Sicilia, David G Aragones, Jackson Liang Yao Li, Rodrigo Madurga, José M Adrover, Alejandra Aroca-Crevillén, Sandra Martin-Salamanca, Alfonso Serrano Del Valle, Sandra D Castillo, Heidi C E Welch, Oliver Soehnlein, Mariona Graupera, Fátima Sánchez-Cabo, Alexander Zarbock, Thomas E Smithgall, Mauro Di Pilato, Thorsten R Mempel, Pierre-Louis Tharaux, Santiago F González, Angel Ayuso-Sacido, Lai Guan Ng, Gabriel F Calvo, Iván González-Díaz, Fernando Díaz-De-María, Andrés Hidalgo

Faculty, Staff and Student Publications

Transcriptional and proteomic profiling of individual cells have revolutionized interpretation of biological phenomena by providing cellular landscapes of healthy and diseased tissues1,2. These approaches, however, do not describe dynamic scenarios in which cells continuously change their biochemical properties and downstream 'behavioural' outputs3-5. Here we used 4D live imaging to record tens to hundreds of morpho-kinetic parameters describing the dynamics of individual leukocytes at sites of active inflammation. By analysing more than 100,000 reconstructions of cell shapes and tracks over time, we obtained behavioural descriptors of individual cells and used these high-dimensional datasets to build behavioural landscapes. These landscapes recognized leukocyte …

Epithelial Immunomodulation By Aerosolized Toll-Like Receptor Agonists Prevents Allergic Inflammation In Airway Mucosa In Mice, David L Goldblatt, Gabriella Valverde Ha, Shradha Wali, Vikram V Kulkarni, Michael K Longmire, Ana M Jaramillo, Rosha P Chittuluru, Adrienne Fouts, Margarita Martinez-Moczygemba, Jonathan T Lei, David P Huston, Michael J Tuvim, Burton F Dickey, Scott E Evans

Faculty, Staff and Student Publications

Allergic asthma is a chronic inflammatory respiratory disease associated with eosinophilic infiltration, increased mucus production, airway hyperresponsiveness, and airway remodeling. Epidemiologic data reveal that the prevalence of allergic sensitization and associated diseases has increased in the twentieth century. This has been hypothesized to be partly due to reduced contact with microbial organisms (the hygiene hypothesis) in industrialized society. Airway epithelial cells, once considered a static physical barrier between the body and the external world, are now widely recognized as immunologically active cells that can initiate, maintain, and restrain inflammatory responses, such as those that mediate allergic disease. Airway epithelial cells …

Screening Of Hydrocarbon-Stapled Peptides For Inhibition Of Calcium-Triggered Exocytosis, Ying Lai, Michael J Tuvim, Jeremy Leitz, John Peters, Richard A Pfuetzner, Luis Esquivies, Qiangjun Zhou, Barbara Czako, Jason B Cross, Philip Jones, Burton F Dickey, Axel T Brunger

Faculty, Staff and Student Publications

The so-called primary interface between the SNARE complex and synaptotagmin-1 (Syt1) is essential for Ca2+-triggered neurotransmitter release in neuronal synapses. The interacting residues of the primary interface are conserved across different species for synaptotagmins (Syt1, Syt2, Syt9), SNAP-25, and syntaxin-1A homologs involved in fast synchronous release. This Ca2+-independent interface forms prior to Ca2+-triggering and plays a role in synaptic vesicle priming. This primary interface is also conserved in the fusion machinery that is responsible for mucin granule membrane fusion. Ca2+-stimulated mucin secretion is mediated by the SNAREs syntaxin-3, SNAP-23, VAMP8, Syt2, and other proteins. Here, we designed and screened a …

Advancing The Standard: Venetoclax Combined With Intensive Induction And Consolidation Therapy For Acute Myeloid Leukemia, Curtis A Lachowiez, Himachandana Atluri, Courtney D Dinardo

Faculty, Staff and Student Publications

The B-cell lymphoma 2 (BCL-2) inhibitor venetoclax (VEN) in combination with lower-intensity therapy is an efficacious treatment for acute myeloid leukemia (AML). VEN in combination with the hypomethylating agent azacitidine improved rates of response and measurable residual disease (MRD)-negative remissions in addition to overall survival in the pivotal phase 3 VIALE-A trial compared with azacitidine monotherapy and has since emerged as the current standard of care in older or unfit patients with AML. In younger, fit patients with AML, intensive induction and consolidation chemotherapy (IC) is commonly employed as frontline therapy; however, relapse remains the principal cause of treatment failure …

Prediction Of Early (4-Week) Mortality In Acute Myeloid Leukemia With Intensive Chemotherapy, Koji Sasaki, Tapan Kadia, Kebede Begna, Courtney D Dinardo, Gautam Borthakur, Nicholas J Short, Nitin Jain, Naval Daver, Elias Jabbour, Guillermo Garcia-Manero, Guillermo Montalban Bravo, Lucia Masarova, Sherry Pierce, Marina Konopleva, Farhad Ravandi, Ayalew Tefferi, Hagop Kantarjian

Faculty, Staff and Student Publications

The progress with intensive chemotherapy and supportive care measures has improved survival in patients with newly diagnosed acute myeloid leukemia (AML). Given the recent development of effective low intensity therapies, an optimal decision on the therapy intensity may improve survival through the avoidance of early mortality. We reviewed the outcome of 3728 patients with newly diagnosed AML who received intensive chemotherapy between August 1980 and May 2020. Intensive chemotherapy was defined as a cumulative cytarabine dose ≥ 700 mg/m2 during induction therapy. We divided the whole cohort into a training and validation group at a 3:1 ratio. The population was …

Exploiting Induced Vulnerability To Overcome Parpi Resistance And Clonal Heterogeneity In Brca Mutant Triple-Negative Inflammatory Breast Cancer, David J H Shih, Mei-Kuang Chen, Jun Yin, Daniel J Mcgrail, Hui Dai, Rongbin Wei, Jing Zhang, Wenjin Jim Zheng, Kim-Anh Do, Liuqing Yang, Mien-Chie Hung, Shiaw-Yih Lin

Faculty, Staff and Student Publications

Acquired resistance and clonal heterogeneity are critical challenges in cancer treatment, and the lack of effective computational tools hampers the discovery of new treatments to overcome resistance. Using high-throughput transcriptomic databases of compound perturbation profiles, we have developed a bioinformatic strategy for identifying candidate drugs to overcome resistance with combinatorial therapy. We devised this strategy during an investigation into the acquired resistance against PARP inhibitors (PARPi) in a triple-negative inflammatory breast cancer cell line. In this study, we derived multiple PARPi-resistant clones and characterized their transcriptomic adaptations compared to the parental clone. The transcriptomes of the resistant clones showed substantial …

Pld1 Promotes Reactive Oxygen Species Production In Vascular Smooth Muscle Cells And Injury-Induced Neointima Formation, Ming Cai, Ziqing Wang, Thi Thu Trang Luu, Dakai Zhang, Brian Finke, Jingquan He, Li Wei Rachel Tay, Gilbert Di Paolo, Guangwei Du

Faculty, Staff and Student Publications

Phospholipase D (PLD) generates the signaling lipid phosphatidic acid (PA) and has been known to mediate proliferation signal in vascular smooth muscle cells (VSMCs). However, it remains unclear how PLD contributes to vascular diseases. VSMC proliferation directly contributes to the development and progression of cardiovascular disease, such as atherosclerosis and restenosis after angioplasty. Using the mouse carotid artery ligation model, we find that deletion of Pld1 gene inhibits neointima formation of the injuried blood vessels. PLD1 deficiency reduces the proliferation of VSMCs in both injured artery and primary cultures through the inhibition of ERK1/2 and AKT signals. Immunohistochemical staining of …

Granuloma Annulare: An Updated Review Of Epidemiology, Pathogenesis, And Treatment Options, Tejas P Joshi, Madeleine Duvic

Faculty, Staff and Student Publications

Granuloma annulare (GA) is an inflammatory granulomatous skin disease that can be localized (localized GA) or disseminated (generalized GA), with patch, perforating, and subcutaneous subtypes being less common variants of this benign condition. Recently, new research has emerged that further elucidates GA epidemiology and etiopathogenesis; importantly, new therapeutic options for GA have also been described, although there remains a paucity of randomized controlled studies. In this review, we summarize recent updates on GA epidemiology and etiopathogenesis and offer an updated review of the therapeutic options for GA currently reported in the literature. We hope that the current review galvanizes randomized …

The Current Status And Shortcomings Of Stereotactic Radiosurgery, Hunter Mehrens, Trang Nguyen, Sharbacha Edward, Shannon Hartzell, Mallory Glenn, Daniela Branco, Nadia Hernandez, Paola Alvarez, Andrea Molineu, Paige Taylor, Stephen Kry

Faculty, Staff and Student Publications

Background: Stereotactic radiosurgery (SRS) is a common treatment for intracranial lesions. This work explores the state of SRS treatment delivery to characterize current treatment accuracy based on treatment parameters.

Methods: NCI clinical trials involving SRS rely on an end-to-end treatment delivery on a patient surrogate (credentialing phantom) from the Imaging and Radiation Oncology Core (IROC) to test their treatment accuracy. The results of 1072 SRS phantom irradiations between 2012 and 2020 were retrospectively analyzed. Univariate analysis and random forest models were used to associate irradiation conditions with phantom performance. The following categories were evaluated in terms of how they predicted …

Loss Of Mmr And Tgfbr2 Increases The Susceptibility To Microbiota-Dependent Inflammation-Associated Colon Cancer, Elena Tosti, Ana S Almeida, Tam T T Tran, Mariel Barbachan E Silva, Pilib Ó Broin, Robert Dubin, Ken Chen, Amanda P Beck, Andrew S Mclellan, Eduardo Vilar, Aaron Golden, Paul W O'Toole, Winfried Edelmann

Faculty, Staff and Student Publications

Background and aims: Mutations in DNA mismatch repair (MMR) genes are causative in Lynch syndrome and a significant proportion of sporadic colorectal cancers (CRCs). MMR-deficient (dMMR) CRCs display increased mutation rates, with mutations frequently accumulating at short repetitive DNA sequences throughout the genome (microsatellite instability). The TGFBR2 gene is one of the most frequently mutated genes in dMMR CRCs. Therefore, we generated an animal model to study how the loss of both TGFBR2 signaling impacts dMMR-driven intestinal tumorigenesis in vivo and explore the impact of the gut microbiota.

Methods: We generated VCMsh2/Tgfbr2 mice in which Msh2loxP and Tgfbr2loxP alleles are …

Recent Advances On Dna Base Flipping: A General Mechanism For Writing, Reading, And Erasing Dna Modifications, Ren Ren, John R Horton, Samuel Hong, Xiaodong Cheng

Faculty, Staff and Student Publications

The modification of DNA bases is a classic hallmark of epigenetics. Four forms of modified cytosine-5-methylcytosine, 5-hydroxymethylcytosine, 5-formylcytosine, and 5-carboxylcytosine-have been discovered in eukaryotic DNA. In addition to cytosine carbon-5 modifications, cytosine and adenine methylated in the exocyclic amine-N4-methylcytosine and N6-methyladenine-are other modified DNA bases discovered even earlier. Each modified base can be considered a distinct epigenetic signal with broader biological implications beyond simple chemical changes. Since 1994, several crystal structures of proteins and enzymes involved in writing, reading, and erasing modified bases have become available. Here, we present a structural synopsis of writers, readers, and erasers of the modified …

Use Of The Fully Spectroscopic Pixelated Cadmium Telluride Detector For Benchtop X-Ray Fluorescence Computed Tomography, Sandun Jayarathna, Hem Moktan, Sang Hyun Cho

Faculty, Staff and Student Publications

In this work, we integrated a commercially-available fully-spectroscopic pixelated cadmium telluride (CdTe) detector system as a two-dimensional (2D) array detector into our existing benchtop cone-beam x-ray fluorescence computed tomography (XFCT) system. After integrating this detector, known as High-Energy X-ray Imaging Technology (HEXITEC), we performed quantitative imaging of gold nanoparticle (GNP) distribution in a small animal-sized phantom using our benchtop XFCT system. Owing to the upgraded detector component within our benchtop XFCT system, we were able to conduct this phantom imaging in an unprecedented manner by volumetric XFCT scans followed by XFCT image reconstruction in 3D. The current results showed that …

A Phase I, Open-Label, Dose-Escalation Study Of The Ox40 Agonist Ivuxolimab In Patients With Locally Advanced Or Metastatic Cancers, Adi Diab, Omid Hamid, John A Thompson, Willeke Ros, Ferry A L M Eskens, Toshihiko Doi, Siwen Hu-Lieskovan, Samuel J Klempner, Bishu Ganguly, Catherine Fleener, Xiao Wang, Tenshang Joh, Ken Liao, Shahram Salek-Ardakani, Carrie Turich Taylor, Jeffrey Chou, Anthony B El-Khoueiry

Faculty, Staff and Student Publications

PURPOSE: Stimulation of effector T cells is an appealing immunotherapeutic approach in oncology. OX40 (CD134) is a costimulatory receptor expressed on activated CD4

PATIENTS AND METHODS: Adult patients (

RESULTS: The most common all-causality adverse events were fatigue (46.2%), nausea (28.8%), and decreased appetite (25.0%). Of 31 treatment-related adverse events, 30 (96.8%) were grade ≤2. No dose-limiting toxicities occurred. Ivuxolimab exposure increased in a dose-proportionate manner from 0.3 to 10 mg/kg. Full peripheral blood target engagement occurred at ≥0.3 mg/kg. Three (5.8%) patients achieved a partial response, and disease control was achieved in 56% of patients. Increased CD4

CONCLUSIONS: Ivuxolimab …

Inhibition Of The Cd47-Sirpα Axis For Cancer Therapy: A Systematic Review And Meta-Analysis Of Emerging Clinical Data, Ji Son, Rodney Cheng-En Hsieh, Heather Y Lin, Kate J Krause, Ying Yuan, Amadeo B Biter, James Welsh, Michael A Curran, David S Hong

Faculty, Staff and Student Publications

CD47-SIRPα interaction acts as a "don't eat me" signal and is exploited by cancer to downregulate innate and adaptive immune surveillance. There has been intense interest to develop a mechanism of blockade, and we aimed to analyze the emerging data from early clinical trials. We performed a systematic review and meta-analysis of relevant databases and conference abstracts including clinical trials using CD47 and/or SIRPα inhibitors in cancer treatment. Nonlinear mixed models were applied for comparison of response and toxicity. We retrieved 317 articles, 24 of which were eligible. These included 771 response-evaluable patients with hematologic (47.1%) and solid tumors (52.9%). …

Cell-Directed Aptamer Therapeutic Targeting For Cancers Including Those Within The Central Nervous System, Jun Wei, Renduo Song, Aria Sabbagh, Anantha Marisetty, Neal Shukla, Dexing Fang, Hinda Najem, Martina Ott, James Long, Lijie Zhai, Maciej S Lesniak, Charles David James, Leonidas Platanias, Michael Curran, Amy B Heimberger

Faculty, Staff and Student Publications

Osteopontin (OPN) is produced by tumor cells as well as by myeloid cells and is enriched in the tumor microenvironment (TME) of many cancers. Given the roles of OPN in tumor progression and immune suppression, we hypothesized that targeting OPN with aptamers that have high affinity and specificity could be a promising therapeutic strategy. Bi-specific aptamers targeting ligands for cellular internalization were conjugated to siRNAs to suppress OPN were created, and therapeutic leads were selected based on target engagement and

Cgas-Sting Pathway Targeted Therapies And Their Applications In The Treatment Of High-Grade Glioma, Shashwat Tripathi, Hinda Najem, Akanksha Sanjay Mahajan, Peng Zhang, Justin T Low, Alexander H Stegh, Michael A Curran, David M Ashley, Charles David James, Amy B Heimberger

Faculty, Staff and Student Publications

Median survival of patients with glioblastoma (GBM) treated with standard of care which consists of maximal safe resection of the contrast-enhancing portion of the tumor followed by radiation therapy with concomitant adjuvant temozolomide (TMZ) remains 15 months. The tumor microenvironment (TME) is known to contain immune suppressive myeloid cells with minimal effector T cell infiltration. Stimulator of interferon genes (STING) is an important activator of immune response and results in production of Type 1 interferon and antigen presentation by myeloid cells. This review will discuss important developments in STING agonists, potential biomarkers for STING response, and new combinatorial therapeutic approaches …

An Autoencoder-Based Deep Learning Method For Genotype Imputation, Meng Song, Jonathan Greenbaum, Joseph Luttrell, Weihua Zhou, Chong Wu, Zhe Luo, Chuan Qiu, Lan Juan Zhao, Kuan-Jui Su, Qing Tian, Hui Shen, Huixiao Hong, Ping Gong, Xinghua Shi, Hong-Wen Deng, Chaoyang Zhang

Faculty, Staff and Student Publications

Genotype imputation has a wide range of applications in genome-wide association study (GWAS), including increasing the statistical power of association tests, discovering trait-associated loci in meta-analyses, and prioritizing causal variants with fine-mapping. In recent years, deep learning (DL) based methods, such as sparse convolutional denoising autoencoder (SCDA), have been developed for genotype imputation. However, it remains a challenging task to optimize the learning process in DL-based methods to achieve high imputation accuracy. To address this challenge, we have developed a convolutional autoencoder (AE) model for genotype imputation and implemented a customized training loop by modifying the training process with a …

A Transgenic Bacterial Artificial Chromosome Approach To Identify Regulatory Regions That Direct Amhr2 And Osterix Expression In Müllerian Duct Mesenchyme, Malcolm M Moses, Rachel D Mullen, Daniel I Idowu, Peter Maye, Soazik P Jamin, Richard R Behringer

Faculty, Staff and Student Publications

A transgenic mouse approach using bacterial artificial chromosomes (BAC) was used to identify regulatory regions that direct Müllerian duct expression for Amhr2 and Osterix (Osx, also known as Sp7). Amhr2 encodes the receptor that mediates anti-Müllerian hormone (AMH) signaling for Müllerian duct regression in male embryos. Amhr2 is expressed in the Müllerian duct mesenchyme of both male and female embryos. A ∼147-kb BAC clone containing the Amhr2 locus was used to generate transgenic mice. The transgene was able to rescue the block in Müllerian duct regression of Amhr2-null males, suggesting that the BAC clone contains regulatory …

Genetic Variants Associated With Circulating Liver Injury Markers In Mexican Americans, A Population At Risk For Non-Alcoholic Fatty Liver Disease, Caroline M Sabotta, Suet-Ying Kwan, Lauren E Petty, Jennifer E Below, Aron Joon, Peng Wei, Susan P Fisher-Hoch, Joseph B Mccormick, Laura Beretta

Faculty, Staff and Student Publications

Objective: Mexican Americans are disproportionally affected by non-alcoholic fatty liver disease (NAFLD), liver fibrosis and hepatocellular carcinoma. Noninvasive means to identify those in this population at high risk for these diseases are urgently needed. Approach: The Cameron County Hispanic Cohort (CCHC) is a population-based cohort with high rates of obesity (51%), type 2 diabetes (28%) and NAFLD (49%). In a subgroup of 564 CCHC subjects, we evaluated 339 genetic variants previously reported to be associated with liver injury markers aspartate aminotransferase (AST) and alanine aminotransferase (ALT) in United Kingdom and Japanese cohorts. Results: Association was confirmed for 86 variants. Among …

Current State Of The Art In Hypoplastic Left Heart Syndrome, Aditya K Birla, Sunita Brimmer, Walker D Short, Oluyinka O Olutoye, Jason A Shar, Suriya Lalwani, Philippe Sucosky, Anitha Parthiban, Sundeep G Keswani, Christopher A Caldarone, Ravi K Birla

Faculty, Staff and Students Publications

Hypoplastic left heart syndrome (HLHS) is a complex congenital heart condition in which a neonate is born with an underdeveloped left ventricle and associated structures. Without palliative interventions, HLHS is fatal. Treatment typically includes medical management at the time of birth to maintain patency of the ductus arteriosus, followed by three palliative procedures: most commonly the Norwood procedure, bidirectional cavopulmonary shunt, and Fontan procedures. With recent advances in surgical management of HLHS patients, high survival rates are now obtained at tertiary treatment centers, though adverse neurodevelopmental outcomes remain a clinical challenge. While surgical management remains the standard of care for …

In Alzheimer-Prone Brain Regions, Metabolism And Risk-Gene Expression Are Strongly Correlated, Fengdan Ye, Quentin Funk, Elijah Rockers, Joshua M Shulman, Joseph C Masdeu, Belen Pascual

Duncan NRI Faculty and Staff Publications

Neuroimaging in the preclinical phase of Alzheimer’s disease provides information crucial to early intervention, particularly in people with a high genetic risk. Metabolic network modularity, recently applied to the study of dementia, is increased in Alzheimer’s disease patients compared with controls, but network modularity in cognitively unimpaired elderly with various risks of developing Alzheimer’s disease needs to be determined. Based on their 5-year cognitive progression, we stratified 117 cognitively normal participants (78.3 ± 4.0 years of age, 52 women) into three age-matched groups, each with a different level of risk for Alzheimer’s disease. From their fluorodeoxyglucose PET we constructed metabolic …

Advancements In The Quest To Map, Monitor, And Manipulate Neural Circuitry, Jessica L Swanson, Pey-Shyuan Chin, Juan M Romero, Snigdha Srivastava, Joshua Ortiz-Guzman, Patrick J Hunt, Benjamin R Arenkiel

Duncan NRI Faculty and Staff Publications

Neural circuits and the cells that comprise them represent the functional units of the brain. Circuits relay and process sensory information, maintain homeostasis, drive behaviors, and facilitate cognitive functions such as learning and memory. Creating a functionally-precise map of the mammalian brain requires anatomically tracing neural circuits, monitoring their activity patterns, and manipulating their activity to infer function. Advancements in cell-type-specific genetic tools allow interrogation of neural circuits with increased precision. This review provides a broad overview of recombination-based and activity-driven genetic targeting approaches, contemporary viral tracing strategies, electrophysiological recording methods, newly developed calcium, and voltage indicators, and neurotransmitter/neuropeptide biosensors …

Quantification Of Behavioral Deficits In Developing Mice With Dystonic Behaviors., Meike E Van Der Heijden, Jason S Gill, Alejandro G Rey Hipolito, Luis E Salazar Leon, Roy V Sillitoe

Duncan NRI Faculty and Staff Publications

Converging evidence from structural imaging studies in patients, the function of dystonia-causing genes, and the comorbidity of neuronal and behavioral defects all suggest that pediatric-onset dystonia is a neurodevelopmental disorder. However, to fully appreciate the contribution of altered development to dystonia, a mechanistic understanding of how networks become dysfunctional is required for early-onset dystonia. One current hurdle is that many dystonia animal models are ideally suited for studying adult phenotypes, as the neurodevelopmental features can be subtle or are complicated by broad developmental deficits. Furthermore, most assays that are used to measure dystonia are not suited for developing postnatal mice. …