Medicine and Health Sciences Commons^™

Superstable Lipid Vacuoles Endow Cartilage With Its Shape And Biomechanics, Raul Ramos, Kim T Pham, Richard C Prince, Leith B Leiser-Miller, Maneeshi S Prasad, Xiaojie Wang, Rachel C Nordberg, Benjamin J Bielajew, Jerry C Hu, Kosuke Yamaga, Ji Won Oh, Tao Peng, Rupsa Datta, Aksana Astrowskaja, Axel A Almet, John T Burns, Yuchen Liu, Christian Fernando Guerrero-Juarez, Bryant Q Tran, Yi-Lin Chu, Anh M Nguyen, Tsai-Ching Hsi, Norman T-L Lim, Sandra Schoeniger, Ruiqi Liu, Yun-Ling Pai, Chella K Vadivel, Sandy Ingleby, Andrew E Mckechnie, Frank Van Breukelen, Kyle L Hoehn, John J Rasweiler, Michinori Kohara, William J Loughry, Scott H Weldy, Raymond Cosper, Chao-Chun Yang, Sung-Jan Lin, Kimberly L Cooper, Sharlene E Santana, Jeffrey E Bradley, Michael A Kiebish, Michelle Digman, David E James, Amy E Merrill, Qing Nie, Thomas F Schilling, Aliaksandr A Astrowski, Eric O Potma, Martín I García-Castro, Kyriacos A Athanasiou, Richard R Behringer, Maksim V Plikus

Faculty, Staff and Student Publications

Conventionally, the size, shape, and biomechanics of cartilages are determined by their voluminous extracellular matrix. By contrast, we found that multiple murine cartilages consist of lipid-filled cells called lipochondrocytes. Despite resembling adipocytes, lipochondrocytes were molecularly distinct and produced lipids exclusively through de novo lipogenesis. Consequently, lipochondrocytes grew uniform lipid droplets that resisted systemic lipid surges and did not enlarge upon obesity. Lipochondrocytes also lacked lipid mobilization factors, which enabled exceptional vacuole stability and protected cartilage from shrinking upon starvation. Lipid droplets modulated lipocartilage biomechanics by decreasing the tissue's stiffness, strength, and resilience. Lipochondrocytes were found in multiple mammals, including humans, …

Molecular Dynamics At Immune Synapse Lipid Rafts Influence The Cytolytic Behavior Of Car T Cells, Ahmed Z Gad, Jessica S Morris, Lea Godret-Miertschin, Melisa J Montalvo, Sybrina S Kerr, Harrison Berger, Jessica C H Lee, Amr M Saadeldin, Mohammad H Abu-Arja, Shuo Xu, Spyridoula Vasileiou, Rebecca M Brock, Kristen Fousek, Mohamed F Sheha, Madhuwanti Srinivasan, Yongshuai Li, Arash Saeedi, Kandice R Levental, Ann M Leen, Maksim Mamonkin, Alexandre Carisey, Navin Varadarajan, Meenakshi Hegde, Sujith K Joseph, Ilya Levental, Malini Mukherjee, Nabil Ahmed

Faculty, Staff and Students Publications

Chimeric antigen receptor T cells (CART) targeting CD19 through CD28.ζ signaling induce rapid lysis of leukemic blasts, contrasting with persistent tumor control exhibited by 4-1BB.ζ-CART. We reasoned that molecular dynamics at the CART immune synapse (CARIS) could explain differences in their tumor rejection kinetics. We observed that CD28.ζ-CART engaged in brief highly lethal CARIS and mastered serial killing, whereas 4-1BB.ζ-CART formed lengthy CARIS and relied on robust expansion and cooperative killing. We analyzed CARIS membrane lipid rafts (mLRs) and found that, upon tumor engagement, CD28.ζ-CAR molecules rapidly but transiently translocated into mLRs, mobilizing the microtubular organizing center and lytic granules …

Genome-Wide Association Study Reveals Shared And Distinct Genetic Architecture Of Fatty Acids And Oxylipins In The Hispanic Community Health Study/Study Of Latinos, Carolina G Downie, Heather M Highland, Mona Alotaibi, Barrett M Welch, Annie Green Howard, Susan Cheng, Nick Miller, Mohit Jain, Robert C Kaplan, Adam G Lilly, Tao Long, Tamar Sofer, Bharat Thyagarajan, Bing Yu, Kari E North, Christy L Avery

Faculty, Staff and Student Publications

Bioactive fatty acid-derived oxylipin molecules play key roles mediating inflammation and oxidative stress. Circulating levels of fatty acids and oxylipins are influenced by environmental and genetic factors; characterizing the genetic architecture of bioactive lipids could yield new insights into underlying biology. We performed a genome-wide association study (GWAS) of 81 fatty acids and oxylipins in 11,584 Hispanic Community Health Study/Study of Latinos (HCHS/SOL) participants with genetic and lipidomic data measured at study baseline (58.6% female, mean age = 46.1 years (standard deviation 13.8)). Additionally, given the effects of central obesity on inflammation, we examined interactions with waist circumference using two-degree-of-freedom …

Nourishing Change In Houston, Texas: Exploring Grocery Shopping Behaviours And Fruit And Vegetable Consumption Among Low-Income Families In The Brighter Bites Program, Victoria Kwentua, Allison Marshall, Ru-Jye Chuang, Jessica Chen, Christine Markham, Mallika Mathur, Mike Pomeroy, Megan Hall, Shreela Sharma

Faculty, Staff and Student Publications

OBJECTIVE: We qualitatively examine the grocery shopping behaviours and fruit and vegetable consumption of low-income families participating in the Brighter Bites program in Houston, Texas.

DESIGN: We used a single-group observational study design. We used (1) purposive sampling of schools and (2) convenience sampling of parents/caregivers to recruit participants. Research staff conducted three face-to-face qualitative focus groups in Spanish and English. Transcripts were coded using deductive and inductive reasoning.

SETTING: Three elementary schools serving low-income families in Houston, Texas, in February-May of 2022.

PARTICIPANTS: Brighter Bites parents/caregivers from the 2021-2022 school year.

RESULTS: Three primary themes emerged: (1) child involvement …

Functional Characterization Of Qt Interval Associated Scn5a Enhancer Variants Identify Combined Additive Effects, Lavanya Gunamalai, Parul Singh, Brian Berg, Leilei Shi, Ernesto Sanchez, Alexa Smith, Ghislain Breton, Mark T Bedford, Darius Balciunas, Ashish Kapoor

Faculty, Staff and Student Publications

Several empirical and theoretical studies suggest the presence of multiple enhancers per gene that collectively regulate gene expression, and that common sequence variation impacting on the activities of these enhancers is a major source of inter-individual gene expression variability. However, for the vast majority of genes, enhancers and the underlying regulatory variation remains unknown. Even for the genes with well-characterized enhancers, the nature of the combined effects from multiple enhancers and their variants, when known, on gene expression regulation remains unexplored. Here, we have evaluated the combined effects from five SCN5A enhancers and their regulatory variants that are known to …

A Phase Ia Study Of A Novel Anti-Her2 Antibody-Drug Conjugate Gq1001 In Patients With Previously Treated Her2 Positive Advanced Solid Tumors, Chenfei Zhou, Bin Wang, Christina Teng, Hui Yang, Sarina A Piha-Paul, Gary Richardson, Ashanya Malalasekera, Yajun Sun, Wei Wang, Jieqiong Liu, Yan Shi, Xianbao Zhan, Charlotte Lemech

Faculty, Staff and Student Publications

Background: A novel anti-human epidermal growth factor receptor 2 (HER2) antibody-drug conjugate (ADC) GQ1001 was assessed in patients with previously treated HER2 positive advanced solid tumors in a global multi-center phase Ia dose escalation trial.

Methods: In this phase Ia trial, a modified 3 + 3 study design was adopted during dose escalation phase. Eligible patients were enrolled, and GQ1001 monotherapy was administered intravenously every 3 weeks. The starting dose was 1.2 mg/kg, followed by 2.4, 3.6, 4.8, 6.0, 7.2 and 8.4 mg/kg. Extra patients were enrolled into 6.0, 7.2, and 8.4 mg/kg cohorts as dose expansion phase. The primary …

Alleviation Of Liver Fibrosis By Inhibiting A Non-Canonical Atf4-Regulated Enhancer Program In Hepatic Stellate Cells, Li-Xian Yang, Chuangye Qi, Si Lu, Xiang-Shi Ye, Parnaz Merikhian, Du-Yu Zhang, Tao Yao, Jiang-Sha Zhao, Ying Wu, Yongshi Jia, Bo Shan, Jinghai Chen, Xiaozhou Mou, Jia You, Wenbo Li, Yu-Xiong Feng

Faculty, Staff and Student Publications

Liver fibrosis is a critical liver disease that can progress to more severe manifestations, such as cirrhosis, yet no effective targeted therapies are available. Here, we identify that ATF4, a master transcription factor in ER stress response, promotes liver fibrosis by facilitating a stress response-independent epigenetic program in hepatic stellate cells (HSCs). Unlike its canonical role in regulating UPR genes during ER stress, ATF4 activates epithelial-mesenchymal transition (EMT) gene transcription under fibrogenic conditions. HSC-specific depletion of ATF4 suppresses liver fibrosis in vivo. Mechanistically, TGFβ resets ATF4 to orchestrate a unique enhancer program for the transcriptional activation of pro-fibrotic EMT genes. …

A Β-Hydroxybutyrate Shunt Pathway Generates Anti-Obesity Ketone Metabolites, Maria Dolores Moya-Garzon, Mengjie Wang, Veronica L Li, Xuchao Lyu, Wei Wei, Alan Sheng-Hwa Tung, Steffen H Raun, Meng Zhao, Laetitia Coassolo, Hashim Islam, Barbara Oliveira, Yuqin Dai, Jan Spaas, Antonio Delgado-Gonzalez, Kenyi Donoso, Aurora Alvarez-Buylla, Francisco Franco-Montalban, Anudari Letian, Catherine P Ward, Lichao Liu, Katrin J Svensson, Emily L Goldberg, Christopher D Gardner, Jonathan P Little, Steven M Banik, Yong Xu, Jonathan Z Long

Children’s Nutrition Research Center Staff Publications

β-Hydroxybutyrate (BHB) is an abundant ketone body. To date, all known pathways of BHB metabolism involve the interconversion of BHB and primary energy intermediates. Here, we identify a previously undescribed BHB secondary metabolic pathway via CNDP2-dependent enzymatic conjugation of BHB and free amino acids. This BHB shunt pathway generates a family of anti-obesity ketone metabolites, the BHB-amino acids. Genetic ablation of CNDP2 in mice eliminates tissue amino acid BHB-ylation activity and reduces BHB-amino acid levels. The most abundant BHB-amino acid, BHB-Phe, is a ketosis-inducible congener of Lac-Phe that activates hypothalamic and brainstem neurons and suppresses feeding. Conversely, CNDP2-KO mice exhibit …

Mga-Related Syndrome: A Proposed Novel Disorder, Bobbi Mcgivern, Michelle M Morrow, Erin Torti, Kirsty Mcwalter, Ingrid M Wentzensen, Kristin G Monaghan, Amanda Gerard, Laurie Robak, David Chitayat, Claire Botsford, Sarah Jurgensmeyer, Peter Leahy, Paul Kruszka

Faculty, Staff and Students Publications

MGA (OMIM: 616061) encodes a dual-specificity transcription factor that regulates the expression of Max-network and T-box family target genes, important in embryogenesis. Previous studies have linked MGA to various phenotypes, including neurodevelopmental disorders, congenital heart disease, and early-onset Parkinson's disease. Here, we describe the clinical phenotype of individuals with de novo, heterozygous predicted loss-of-function variants in MGA, suggesting a unique disorder involving both neurodevelopmental and congenital anomalies. In addition to developmental delays, certain congenital anomalies were present in all individuals in this cohort including cardiac anomalies, male genital malformations, and craniofacial dysmorphisms. Additional findings seen in multiple individuals in this …

Advancing Monogenic Diabetes Research And Clinical Care By Creating A Data Commons: The Precision Diabetes Consortium (Predict), Michael E Mccullough, Lisa R Letourneau-Freiberg, Rochelle N Naylor, Siri Atma W Greeley, David T Broome, Mustafa Tosur, Raymond J Kreienkamp, Erin Cobry, Neda Rasouli, Toni I Pollin, Miriam S Udler, Liana K Billings, Cyrus Desouza, Carmella Evans-Molina, Suzi Birz, Brian Furner, Michael Watkins, Kaitlyn Ott, Samuel L Volchenboum, Louis H Philipson

Faculty, Staff and Students Publications

Monogenic diabetes mellitus (MDM) is a group of relatively rare disorders caused by pathogenic variants in key genes that result in hyperglycemia. Lack of identified cases, along with absent data standards, and limited collaboration across institutions have hindered research progress. To address this, the UChicago Monogenic Diabetes Registry (UCMDMR) and UChicago Data for the Common Good (D4CG) created a national consortium of MDM research institutions called the PREcision DIabetes ConsorTium (PREDICT). Following the D4CG model, PREDICT has successfully established a multicenter MDM data commons. PREDICT has created a consensus data dictionary that will be utilized to address critical gaps in …

Molecular Logic For Cellular Specializations That Initiate The Auditory Parallel Processing Pathways, Junzhan Jing, Ming Hu, Tenzin Ngodup, Qianqian Ma, Shu-Ning Natalie Lau, M Cecilia Ljungberg, Matthew J Mcginley, Laurence O Trussell, Xiaolong Jiang

Faculty, Staff and Students Publications

The cochlear nuclear complex (CN), the starting point for all central auditory processing, encompasses a suite of neuronal cell types highly specialized for neural coding of acoustic signals. However, the molecular logic governing these specializations remains unknown. By combining single-nucleus RNA sequencing and Patch-seq analysis, we reveal a set of transcriptionally distinct cell populations encompassing all previously observed types and discover multiple hitherto unknown subtypes with anatomical and physiological identity. The resulting comprehensive cell-type taxonomy reconciles anatomical position, morphological, physiological, and molecular criteria, enabling the determination of the molecular basis of the specialized cellular phenotypes in the CN. In particular, …

Bone Marrow Transplantation Reverses Metabolic Alterations In Multiple Sulfatase Deficiency: A Case Series, Nishitha R Pillai, Ning Liu, Xiyuan Li, Xiqi Li, Rebecca Ahrens-Nicklas, Laura Adang, Julie B Eisengart, Grace Bronken, Ashish Gupta, Troy C Lund, Chester B Whitley, Sarah H Elsea, Paul J Orchard

Faculty, Staff and Students Publications

BACKGROUND: Multiple sulfatase deficiency (MSD) is an exceptionally rare neurodegenerative disorder due to the absence or deficiency of 17 known cellular sulfatases. The activation of all these cellular sulfatases is dependent on the presence of the formylglycine-generating enzyme, which is encoded by the SUMF1 gene. Disease-causing homozygous or compound heterozygous variants in SUMF1 result in MSD. Other than symptomatic treatment, no curative therapy exists as of yet for MSD. Eight out of these 17 sulfatases are primarily localized in the lysosome.

METHODS: Two siblings with attenuated MSD underwent hematopoietic cell transplantation (HCT), evaluating the possibility of lysosomal enzymatic cross-correction from …

Tamm-Horsfall Protein Augments Neutrophil Netosis During Urinary Tract Infection, Vicki Mercado-Evans, Holly Branthoover, Claude Chew, Camille Serchejian, Alexander B Saltzman, Marlyd E Mejia, Jacob J Zulk, Ingrid Cornax, Victor Nizet, Kathryn A Patras

Faculty, Staff and Students Publications

Urinary neutrophils are a hallmark of urinary tract infection (UTI), yet the mechanisms governing their activation, function, and efficacy in controlling infection remain incompletely understood. Tamm-Horsfall glycoprotein (THP), the most abundant protein in urine, uses terminal sialic acids to bind an inhibitory receptor and dampen neutrophil inflammatory responses. We hypothesized that neutrophil modulation is an integral part of THP-mediated host protection. In a UTI model, THP-deficient mice showed elevated urinary tract bacterial burdens, increased neutrophil recruitment, and more severe tissue histopathological changes compared with WT mice. Furthermore, THP-deficient mice displayed impaired urinary NETosis during UTI. To investigate the effect of …

Expanding Nucleic Acid-Encoded Medicine, Dafei Chai, Yong Li

Faculty, Staff and Students Publications

No abstract provided.

Application Of Core Functions And Forms In Complex Health Intervention Research: A Scoping Review Protocol, Katelyn Fox, Debbie Passey, Eunyoung Kang, Laura Zeigen, Erin Kenzie, Jessica D Austin, Rachel J Meadows, Maria E Fernandez, Monica Perez Jolles

Faculty, Staff and Student Publications

Introduction: The ability of healthcare, community and public health systems to effectively implement and disseminate research innovations depends on contextual factors at multiple interconnected levels of influence (eg, the innovation, individual, provider/implementor, organisation and health system). Recently, there has been an increase in the development of complex interventions designed to target multiple levels, designed for or adapted to the context in which they are delivered. Two concepts from complex systems thinking have been increasingly used to operationalise such interventions-core functions (theory and evidence-driven purposes of interventions) and forms (adaptable activities that perform each core function). However, there is a gap …

Society For Immunotherapy Of Cancer: Updates And Best Practices For Multiplex Immunohistochemistry (Ihc) And Immunofluorescence (If) Image Analysis And Data Sharing, Janis M Taube, Joel C Sunshine, Michael Angelo, Guray Akturk, Margaret Eminizer, Logan L Engle, Cláudia S Ferreira, Sacha Gnjatic, Benjamin Green, Shirley Greenbaum, Noah F Greenwald, Cyrus V Hedvat, Travis J Hollmann, Daniel Jiménez-Sánchez, Konstanty Korski, Ana Lako, Edwin R Parra, Marlon C Rebelatto, David L Rimm, Scott J Rodig, Jamie Rodriguez-Canales, Jeffrey S Roskes, Kurt A Schalper, Emanuel Schenck, Keith E Steele, Michael J Surace, Alexander S Szalay, Michael T Tetzlaff, Ignacio I Wistuba, Jennifer H Yearley, Carlo B Bifulco

Faculty, Staff and Student Publications

Objectives: Multiplex immunohistochemistry and immunofluorescence (mIHC/IF) are emerging technologies that can be used to help define complex immunophenotypes in tissue, quantify immune cell subsets, and assess the spatial arrangement of marker expression. mIHC/IF assays require concerted efforts to optimize and validate the multiplex staining protocols prior to their application on slides. The best practice guidelines for staining and validation of mIHC/IF assays across platforms were previously published by this task force. The current effort represents a complementary manuscript for mIHC/IF analysis focused on the associated image analysis and data management.

Methods: The Society for Immunotherapy of Cancer convened a task …

Clinical And Imaging Features Of Head And Neck Metastasis Of High-Grade Glioma: A Single-Center Case Series, Rami W Eldaya, Diana Kaya, Michelle Williams, Susana Calle, Dawid Schellingerhout

Faculty, Staff and Student Publications

High-grade gliomas are the most frequent primary brain tumors, yet extraneural metastasis is exceedingly rare. This is in part secondary to the relatively poor survival of these patients and likely the shielding effect of the blood-brain barrier. Given the rarity of extraneural metastasis, the pathophysiology and imaging appearance of extraneural metastasis is under-reported and poorly understood. In this case series we present 6 patients with pathology-confirmed high-grade glioma and extraneural head and neck metastasis. We highlight imaging features of metastasis on CT, MRI, and PET/CT. We also explore potential correlations and pathophysiology of high-grade glioma metastasis to the head and …

Genetic Variations In Mdm2 Gene Contribute To Renal Cell Carcinoma Susceptibility: A Genotype–Phenotype Correlation Study, Shu-Yu Chang, Wen-Shin Chang, Hou-Yu Shih, Chao-Hsiang Chang, Hsi-Chin Wu, Chia-Wen Tsai, Yun-Chi Wang, Jian Gu, Da-Tian Bau

Faculty, Staff and Student Publications

Background: This study aimed to investigate the polymorphic genotypes of MDM2 rs937282, rs937283, rs2279744, and rs769412, as well as the combined effects of MDM2 genotypes and environmental factors on RCC susceptibility.

Methods: A total of 135 RCC patients and 590 controls were recruited for MDM2 genotyping using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Quantitative PCR was performed to assess MDM2 mRNA levels among 30 healthy individuals and 22 RCC patients.

Results: MDM2 rs2279744, but not other polymorphisms, was significantly associated with an increased RCC risk (p = 0.0133). The MDM2 rs2279744 G allele was identified as …

Gene Signatures Derived From Transcriptomic-Causal Networks Stratify Colorectal Cancer Patients For Effective Targeted Therapy, Akram Yazdani, Heinz-Josef Lenz, Gianluigi Pillonetto, Raul Mendez-Giraldez, Azam Yazdani, Hanna Sanoff, Reza Hadi, Esmat Samiei, Alan P Venook, Mark J Ratain, Naim Rashid, Benjamin G Vincent, Xueping Qu, Yujia Wen, Michael Kosorok, William F Symmans, John Paul Y C Shen, Michael S Lee, Scott Kopetz, Andrew B Nixon, Monica M Bertagnolli, Charles M Perou, Federico Innocenti

Faculty, Staff and Student Publications

Background: Gene signatures derived from transcriptomic-causal networks offer potential for tailoring clinical care in cancer treatment by identifying predictive and prognostic biomarkers. This study aimed to uncover such signatures in metastatic colorectal cancer (CRC) patients to aid treatment decisions.

Methods: We constructed transcriptomic-causal networks and integrated gene interconnectivity into overall survival (OS) analysis to control for confounding genes. This integrative approach involved germline genotype and tumor RNA-seq data from 1165 metastatic CRC patients. The patients were enrolled in a randomized clinical trial receiving either cetuximab or bevacizumab in combination with chemotherapy. An external cohort of paired CRC normal and tumor …

Venetoclax-Based Combination Regimens In Acute Myeloid Leukemia, Hannah Goulart, Hagop Kantarjian, Naveen Pemmaraju, Naval Daver, Courtney D Dinardo, Caitlin R Rausch, Farhad Ravandi, Tapan M Kadia

Faculty, Staff and Student Publications

In recent years, there has been tremendous interest surrounding the integration of venetoclax into both non-intensive and intensive chemotherapy regimens for AML. However, with this increasing utilization of venetoclax, considerable questions surrounding key issues such as dosing strategies and the practicality of venetoclax administration have arisen. This review highlights the evolution of venetoclax-based regimens in AML and provides a commentary on notable practical considerations when utilizing this agent.

Small Variant Benchmark From A Complete Assembly Of X And Y Chromosomes, Justin Wagner, Nathan D Olson, Jennifer Mcdaniel, Lindsay Harris, Brendan J Pinto, David Jáspez, Adrián Muñoz-Barrera, Luis A Rubio-Rodríguez, José M Lorenzo-Salazar, Carlos Flores, Sayed Mohammad Ebrahim Sahraeian, Giuseppe Narzisi, Marta Byrska-Bishop, Uday S Evani, Chunlin Xiao, Juniper A Lake, Peter Fontana, Craig Greenberg, Donald Freed, Mohammed Faizal Eeman Mootor, Paul C Boutros, Lisa Murray, Kishwar Shafin, Andrew Carroll, Fritz J Sedlazeck, Melissa Wilson, Justin M Zook

Faculty, Staff and Students Publications

The sex chromosomes contain complex, important genes impacting medical phenotypes, but differ from the autosomes in their ploidy and large repetitive regions. To enable technology developers along with research and clinical laboratories to evaluate variant detection on male sex chromosomes X and Y, we create a small variant benchmark set with 111,725 variants for the Genome in a Bottle HG002 reference material. We develop an active evaluation approach to demonstrate the benchmark set reliably identifies errors in challenging genomic regions and across short and long read callsets. We show how complete assemblies can expand benchmarks to difficult regions, but highlight …

Prdm16 Enhances Osteoblastogenic Runx2 Via Canonical Wnt10b/Β-Catenin Pathway In Testosterone-Treated Hypogonadal Men, Siresha Bathina, Mia Prado, Virginia Fuenmayor Lopez, Georgia Colleluori, Lina Aguirre, Rui Chen, Dennis T Villareal, Reina Armamento-Villareal

Faculty, Staff and Students Publications

We previously reported that PRDM16 mediated the improvement in body composition in testosterone (T)-treated hypogonadal men by shifting adipogenesis to myogenesis. Previous preclinical studies suggest that Prdm16 regulates Runx2, an important osteoblastic transcription factor, expression and activity. However, the changes in PRDM16, and other genes/proteins involved in osteoblastogenesis with T therapy in hypogonadal men are unexplored. We investigated the role of PRDM16 in RUNX2 activation by measuring changes in gene expression in peripheral blood monocytes (PBMCs) and proteins in the serum of hypogonadal men after T therapy for 6 months. Likewise, we evaluated changes in the WNT10b—β-CATENIN signaling …

Patient-Derived Xenografts Of Triple-Negative Breast Cancer Enable Deconvolution And Prediction Of Chemotherapy Responses, Jonathan T Lei, Lacey E Dobrolecki, Chen Huang, Ramakrishnan R Srinivasan, Suhas V Vasaikar, Alaina N Lewis, Christina Sallas, Na Zhao, Jin Cao, John D Landua, Chang In Moon, Yuxing Liao, Susan G Hilsenbeck, C Kent Osborne, Mothaffar F Rimawi, Matthew J Ellis, Varduhi Petrosyan, Bo Wen, Kai Li, Alexander B Saltzman, Antrix Jain, Anna Malovannaya, Gerburg M Wulf, Elisabetta Marangoni, Shunqiang Li, Daniel C Kraushaar, Tao Wang, Senthil Damodaran, Xiaofeng Zheng, Funda Meric-Bernstam, Gloria V Echeverria, Meenakshi Anurag, Xi Chen, Bryan E Welm, Alana L Welm, Bing Zhang, Michael T Lewis

Faculty, Staff and Students Publications

Combination chemotherapy remains essential for clinical management of triple-negative breast cancer (TNBC). Consequently, responses to multiple single agents cannot be delineated at the single patient level, even though some patients might not require all drugs in the combination. Herein, we conduct multi-omic analyses of orthotopic TNBC patient-derived xenografts (PDXs) treated with single agent carboplatin, docetaxel, or the combination. Combination responses were usually no better than the best single agent, with enhanced response in only ~13% of PDX, and apparent antagonism in a comparable percentage. Single-omic comparisons showed largely non-overlapping results between genes associated with single agent and combination treatments that …

Toward Personalized Digital Experiences To Promote Diabetes Self-Management: Mixed Methods Social Computing Approach, Tavleen Singh, Kirk Roberts, Kayo Fujimoto, Jing Wang, Constance Johnson, Sahiti Myneni

Faculty, Staff and Student Publications

BACKGROUND: Type 2 diabetes affects nearly 34.2 million adults and is the seventh leading cause of death in the United States. Digital health communities have emerged as avenues to provide social support to individuals engaging in diabetes self-management (DSM). The analysis of digital peer interactions and social connections can improve our understanding of the factors underlying behavior change, which can inform the development of personalized DSM interventions.

OBJECTIVE: Our objective is to apply our methodology using a mixed methods approach to (1) characterize the role of context-specific social influence patterns in DSM and (2) derive interventional targets that enhance individual …

Evaluating The Effects Of High-Throughput Structural Neuroimaging Predictors On Whole-Brain Functional Connectome Outcomes Via Network-Based Matrix-On-Vector Regression, Tong Lu, Yuan Zhang, Vince Lyzinski, Chuan Bi, Peter Kochunov, Elliot Hong, Shuo Chen

Faculty, Staff and Student Publications

The joint analysis of multimodal neuroimaging data is vital in brain research, revealing complex interactions between brain structures and functions. Our study is motivated by the analysis of a vast dataset of brain functional connectivity (FC) and multimodal structural imaging (SI) features from the UK Biobank. Specifically, we aim to investigate the effects of SI features, such as white matter microstructure integrity (WMMI) and cortical thickness, on the whole-brain functional connectome network. This analysis is inherently challenging due to the extensive structural-functional associations and the intricate network patterns present in multimodal high-dimensional neuroimaging data. To bridge methodological gaps, we developed …

Rpa And Rad27 Limit Templated And Inverted Insertions At Dna Breaks, Yang Yu, Xin Wang, Jordan Fox, Qian Li, Yang Yu, P J Hastings, Kaifu Chen, Grzegorz Ira

Faculty, Staff and Students Publications

Formation of templated insertions at DNA double-strand breaks (DSBs) is very common in cancer cells. The mechanisms and enzymes regulating these events are largely unknown. Here, we investigated templated insertions in yeast at DSBs using amplicon sequencing across a repaired locus. We document very short (most ∼5-34 bp), templated inverted duplications at DSBs. They are generated through a foldback mechanism that utilizes microhomologies adjacent to the DSB. Enzymatic requirements suggest a hybrid mechanism wherein one end requires Polδ-mediated synthesis while the other end is captured by nonhomologous end joining (NHEJ) or by alternative end joining (Alt-EJ). This process is exacerbated …

Organizational Readiness For Implementation: A Qualitative Assessment To Explain Survey Responses, Maria Mcclam, Lauren Workman, Timothy J Walker, Emanuelle M Dias, Derek W Craig, Joe R Padilla, Andrea E Lamont, Abraham Wandersman, Maria E Fernandez

Faculty, Staff and Student Publications

BACKGROUND: One factor considered essential to successful implementation is organizational readiness. The purpose of this study was to explore ways to improve the measurement of organizational readiness, and in particular to refine a preliminary measure based on the Readiness = Motivation x innovation Specific Capacity x General Capacity (R = MC2) heuristic. We assessed the experiences of staff in Federally Qualified Health Centers (FQHC) implementing evidence-based interventions (EBIs) designed to increase colorectal cancer screening (CRCS) who previously completed the survey and aimed to understand their perspectives on why our data were positively skewed.

METHODS: We conducted a series of qualitative …

The Gip Receptor Activates Futile Calcium Cycling In White Adipose Tissue To Increase Energy Expenditure And Drive Weight Loss In Mice, Xinxin Yu, Shiuhwei Chen, Jan-Bernd Funcke, Leon G Straub, Valentina Pirro, Margo P Emont, Brian A Droz, Kyla Ai Collins, Chanmin Joung, Mackenzie J Pearson, Corey M James, Gopal J Babu, Vissarion Efthymiou, Ashley Vernon, Mary Elizabeth Patti, Yu A An, Evan D Rosen, Matthew P Coghlan, Ricardo J Samms, Philipp E Scherer, Christine M Kusminski

Faculty, Staff and Student Publications

Obesity is a chronic disease that contributes to the development of insulin resistance, type 2 diabetes (T2D), and cardiovascular risk. Glucose-dependent insulinotropic polypeptide (GIP) receptor (GIPR) and glucagon-like peptide-1 (GLP-1) receptor (GLP-1R) co-agonism provide an improved therapeutic profile in individuals with T2D and obesity when compared with selective GLP-1R agonism. Although the metabolic benefits of GLP-1R agonism are established, whether GIPR activation impacts weight loss through peripheral mechanisms is yet to be fully defined. Here, we generated a mouse model of GIPR induction exclusively in the adipocyte. We show that GIPR induction in the fat cell protects mice from diet-induced …

A Regularized Bayesian Dirichlet-Multinomial Regression Model For Integrating Single-Cell-Level Omics And Patient-Level Clinical Study Data, Yanghong Guo, Lei Yu, Lei Guo, Lin Xu, Qiwei Li

Faculty, Staff and Student Publications

The abundance of various cell types can vary significantly among patients with varying phenotypes and even those with the same phenotype. Recent scientific advancements provide mounting evidence that other clinical variables, such as age, gender, and lifestyle habits, can also influence the abundance of certain cell types. However, current methods for integrating single-cell-level omics data with clinical variables are inadequate. In this study, we propose a regularized Bayesian Dirichlet-multinomial regression framework to investigate the relationship between single-cell RNA sequencing data and patient-level clinical data. Additionally, the model employs a novel hierarchical tree structure to identify such relationships at different cell-type …

Causal Models And Prediction In Cell Line Perturbation Experiments, James P Long, Yumeng Yang, Shohei Shimizu, Thong Pham, Kim-Anh Do

Faculty, Staff and Student Publications

In cell line perturbation experiments, a collection of cells is perturbed with external agents and responses such as protein expression measured. Due to cost constraints, only a small fraction of all possible perturbations can be tested in vitro. This has led to the development of computational models that can predict cellular responses to perturbations in silico. A central challenge for these models is to predict the effect of new, previously untested perturbations that were not used in the training data. Here we propose causal structural equations for modeling how perturbations effect cells. From this model, we derive two estimators for …