Digital Commons Network^™

Clinical Benefit From Docetaxel +/- Ramucirumab Is Not Associated With Mutation Status In Metastatic Non-Small-Cell Lung Cancer Patients Who Progressed On Platinum Doublets And Immunotherapy, Kang Qin, Kaiwen Wang, Shenduo Li, Lingzhi Hong, Priyadharshini Padmakumar, Rinsurongkawong Waree, Shawna M Hubert, Xiuning Le, Natalie Vokes, Kunal Rai, Ara Vaporciyan, Don L Gibbons, John V Heymach, J Jack Lee, Scott E Woodman, Caroline Chung, David A Jaffray, Mehmet Altan, Yanyan Lou, Jianjun Zhang

Faculty, Staff and Student Publications

Docetaxel +/- ramucirumab remains the standard-of-care therapy for patients with metastatic non-small-cell lung cancer (NSCLC) after progression on platinum doublets and immune checkpoint inhibitors (ICIs). The aim of our study was to investigate whether the cancer gene mutation status was associated with clinical benefits from docetaxel +/- ramucirumab. We also investigated whether platinum/taxane-based regimens offered a better clinical benefit in this patient population. A total of 454 patients were analyzed (docetaxel +/- ramucirumab n=381; platinum/taxane-based regimens n=73). Progression-free survival (PFS) and overall survival (OS) were compared among different subpopulations with different cancer gene mutations and between patients who received docetaxel …

The Future Of Targeted Therapy For Leiomyosarcoma, Ryan A Denu, Amanda M Dann, Emily Z Keung, Michael S Nakazawa, Elise F Nassif Haddad

Faculty, Staff and Student Publications

Leiomyosarcoma (LMS) is an aggressive subtype of soft tissue sarcoma that arises from smooth muscle cells, most commonly in the uterus and retroperitoneum. LMS is a heterogeneous disease with diverse clinical and molecular characteristics that have yet to be fully understood. Molecular profiling has uncovered possible targets amenable to treatment, though this has yet to translate into approved targeted therapies in LMS. This review will explore historic and recent findings from molecular profiling, highlight promising avenues of current investigation, and suggest possible future strategies to move toward the goal of molecularly matched treatment of LMS. We focus on targeting the …

Polyaminer-Bulk Is A Deep Learning-Based Algorithm That Decodes Alternative Polyadenylation Dynamics From Bulk Rna-Seq Data, Venkata Soumith Jonnakuti, Eric J Wagner, Mirjana Maletić-Savatić, Zhandong Liu, Hari Krishna Yalamanchili

Faculty, Staff and Students Publications

Alternative polyadenylation (APA) is a key post-transcriptional regulatory mechanism; yet, its regulation and impact on human diseases remain understudied. Existing bulk RNA sequencing (RNA-seq)-based APA methods predominantly rely on predefined annotations, severely impacting their ability to decode novel tissue- and disease-specific APA changes. Furthermore, they only account for the most proximal and distal cleavage and polyadenylation sites (C/PASs). Deconvoluting overlapping C/PASs and the inherent noisy 3' UTR coverage in bulk RNA-seq data pose additional challenges. To overcome these limitations, we introduce PolyAMiner-Bulk, an attention-based deep learning algorithm that accurately recapitulates C/PAS sequence grammar, resolves overlapping C/PASs, captures non-proximal-to-distal APA changes, …

Scgist: Gene Panel Design For Spatial Transcriptomics With Prioritized Gene Sets, Mashrur Ahmed Yafi, Md Hasibul Husain Hisham, Francisco Grisanti, James F Martin, Atif Rahman, Md Abul Hassan Samee

Faculty, Staff and Students Publications

A critical challenge of single-cell spatial transcriptomics (sc-ST) technologies is their panel size. Being based on fluorescence in situ hybridization, they are typically limited to panels of about a thousand genes. This constrains researchers to build panels from only the marker genes of different cell types and forgo other genes of interest, e.g., genes encoding ligand-receptor complexes or those in specific pathways. We propose scGIST, a constrained feature selection tool that designs sc-ST panels prioritizing user-specified genes without compromising cell type detection accuracy. We demonstrate scGIST's efficacy in diverse use cases, highlighting it as a valuable addition to sc-ST's algorithmic …

The Optimization Of A Natural Language Processing Approach For The Automatic Detection Of Alzheimer’S Disease Using Gpt Embeddings, Benjamin S. Runde, Ajit Alapati, Nicolas G. Bazan

School of Medicine Faculty Publications

The development of noninvasive and cost-effective methods of detecting Alzheimer’s disease (AD) is essential for its early prevention and mitigation. We optimize the detection of AD using natural language processing (NLP) of spontaneous speech through the use of audio enhancement techniques and novel transcription methodologies. Specifically, we utilized Boll Spectral Subtraction to improve audio fidelity and created transcriptions using state-of-the-art AI services—locally-based Wav2Vec and Whisper, alongside cloud-based IBM Cloud and Rev AI—evaluating their performance against traditional manual transcription methods. Support Vector Machine (SVM) classifiers were then trained and tested using GPT-based embeddings of transcriptions. Our findings revealed that AI-based transcriptions …

Current Concepts In The Evaluation, Management, And Prevention Of Common Foot And Ankle Injuries In The Runner, Alexis S. Tingan, Aisha Bowen, Chelsea Salas-Tam, Matthew Roland, Apurva Srivastav

Department of Exercise Science Faculty Papers

Purpose of Review Running-related injuries (RRIs) are a common cause of dysfunction among runners. Foot and ankle injuries are among the most common RRIs. The purpose of this review is to detail current concepts in the pathophysiology, evaluation, management, and prevention of foot and ankle RRIs.

Recent Findings Running gait analyses are helpful in identifying biomechanical and kinematic abnormalities that can be targeted in rehabilitation. Musculoskeletal ultrasonography is now being used to both qualitatively and quantitatively assess tissue integrity to guide diagnosis, prognosis, and return to run decision-making. Recent treatment analyses have demonstrated that rehabilitation exercises are vital for restoring …

Impaired Bone Morphogenetic Protein (Bmp) Signaling Pathways Disrupt Decidualization In Endometriosis, Zian Liao, Suni Tang, Peixin Jiang, Ting Geng, Dominique I Cope, Timothy N Dunn, Joie Guner, Linda Alpuing Radilla, Xiaoming Guan, Diana Monsivais

Faculty, Staff and Students Publications

Endometriosis is linked to increased infertility and pregnancy complications due to defective endometrial decidualization. We hypothesized that identification of altered signaling pathways during decidualization could identify the underlying cause of infertility and pregnancy complications. Our study reveals that transforming growth factor β (TGFβ) pathways are impaired in the endometrium of individuals with endometriosis, leading to defective decidualization. Through detailed transcriptomic analyses, we discovered abnormalities in TGFβ signaling pathways and key regulators, such as SMAD4, in the endometrium of affected individuals. We also observed compromised activity of bone morphogenetic proteins (BMP), a subset of the TGFβ family, that control endometrial receptivity. …

Repurposing Of Us-Fda-Approved Drugs As Negative Modulators Of Ubiquitin Specific Protease-7 (Usp7), Seema Zadi, Sumaira Javaid, Atia-Tul-Wahab, Humaira Zafar, Muhammad Awais, Innokentiy Maslennikov, M. Iqbal Choudhary

Pharmacy Faculty Articles and Research

Ubiquitin-specific protease7 (USP7) regulates the stability of the p53 tumor suppressor protein and several other proteins critical for tumor cell survival. Aberrant expression of USP7 facilitates human malignancies by altering the activity of proto-oncogenes/proteins, and tumor suppressor genes. Therefore, USP7 is a validated anti-cancer drug target. In this study, a drug repurposing approach was used to identify new hits against the USP7 enzyme. It is one of the most strategic approaches to find new uses for drugs in a cost- and time-effective way. Nuclear Magnetic Resonance-based screening of 172 drugs identified 11 compounds that bind to the catalytic domain of …

Endoscopic Hyperspectral Imaging System To Discriminate Tissue Characteristics In Tissue Phantom And Orthotopic Mouse Pancreatic Tumor Model, Na Eun Mun, Thi Kim Chi Tran, Dong Hui Park, Jin Hee Im, Jae Il Park, Thanh Dat Le, Young Jin Moon, Seong-Young Kwon, Su Woong Yoo

Faculty, Staff and Student Publications

In this study, we developed an endoscopic hyperspectral imaging (eHSI) system and evaluated its performance in analyzing tissues within tissue phantoms and orthotopic mouse pancreatic tumor models. Our custom-built eHSI system incorporated a liquid crystal tunable filter. To assess its tissue discrimination capabilities, we acquired images of tissue phantoms, distinguishing between fat and muscle regions. The system underwent supervised training using labeled samples, and this classification model was then applied to other tissue phantom images for evaluation. In the tissue phantom experiment, the eHSI effectively differentiated muscle from fat and background tissues. The precision scores regarding fat tissue classification were …

Sociodemographic And Clinical Characteristics Of People With Oldest Older Age Bipolar Disorder In A Global Sample: Results From The Global Aging And Geriatric Experiments In Bipolar Disorder Project, Peijun Chen, Martha Sajatovic, Joy Yala, Kaylee Sarna

Faculty Scholarship

Objects: Studies of older age bipolar disorder (OABD) have mostly focused on “younger old” individuals. Little is known about the oldest OABD (OOABD) individuals aged ≥70 years old. The Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) project provides an opportunity to evaluate the OOABD group to understand their characteristics compared to younger groups. Methods: We conducted cross-sectional analyses of the GAGE-BD database, an integrated, harmonized dataset from 19 international studies. We compared the sociodemographic and clinical characteristics of those aged <50 (YABD, n = 184), 50–69 (OABD, n = 881), and ≥70 (OOABD, n = 304). To standardize the comparisons between age categories and all characteristics, we used multinomial logistic regression models with age category as the dependent variable, with each characteristic as the independent variable, and clustering of standard errors to account for the correlation between observations from each of the studies. Results: OOABD and OABD had lower severity of manic symptoms (Mean YMRS = 3.3, 3.8 respectively) than YABD (YMRS = 7.6), and lower depressive symptoms (% of absent = 65.4%, and 59.5% respectively) than YABD (18.3%). OOABD and OABD had higher physical burden than YABD, especially in the cardiovascular domain (prevalence = 65% in OOABD, 41% in OABD and 17% in YABD); OOABD had the highest prevalence (56%) in the musculoskeletal domain (significantly differed from 39% in OABD and 31% in YABD which didn't differ from each other). Overall, OOABD had significant cumulative physical burden in numbers of domains (mean = 4) compared to both OABD (mean = 2) and YABD (mean = 1). OOABD had the lowest rates of suicidal thoughts (10%), which significantly differed from YABD (26%) though didn't differ from OABD (21%). Functional status was higher in both OOABD (GAF = 63) and OABD (GAF = 64), though only OABD had significantly higher function than YABD (GAF = 59). Conclusions: OOABD have unique features, suggesting that (1) OOABD individuals may be easier to manage psychiatrically, but require more attention to comorbid physical conditions; (2) OOABD is a survivor cohort associated with resilience despite high medical burden, warranting both qualitative and quantitative methods to better understand how to advance clinical care and ways to age successfully with BD.

Clonal Gene Signatures Predict Prognosis In Mesothelioma And Lung Adenocarcinoma, Yupei Lin, Bryan M Burt, Hyun-Sung Lee, Thinh T Nguyen, Hee-Jin Jang, Claire Lee, Wei Hong, Robert Taylor Ripley, Christopher I Amos, Chao Cheng

Faculty, Staff and Students Publications

Malignant pleural mesothelioma (MPM) is a rare but lethal pleural cancer with high intratumor heterogeneity (ITH). A recent study in lung adenocarcinoma has developed a clonal gene signature (ORACLE) from multiregional transcriptomic data and demonstrated high prognostic values and reproducibility. However, such a strategy has not been tested in other types of cancer with high ITH. We aimed to identify biomarkers from multi-regional data to prognostically stratify MPM patients. We generated a multiregional RNA-seq dataset for 78 tumor samples obtained from 26 MPM patients, each with one sample collected from a superior, lateral, and inferior region of the tumor. By …

Kinship, Gift Exchange, And The Management Of Diabetes, Bryen Turco, Vito Agrusa, Laila Abdallah, James Peter Meza

Clinical Research in Practice: The Journal of Team Hippocrates

The authors examine the impact of kinship structures on the management poorly controlled type 2 diabetes

Tailoring T Fh Profiles Enhances Antibody Persistence To A Clade C Hiv-1 Vaccine In Rhesus Macaques, Anil Verma, Chase E. Hawes, Sonny R. Elizaldi, Justin C. Smith, Dhivyaa Rajasundaram, Gabriel Kristian Pedersen, Xiaoying Shen, La Tonya D. Williams, Georgia D. Tomaras, Pamela A. Kozlowski, Rama R. Amara, Smita S. Iyer

School of Medicine Faculty Publications

CD4 T follicular helper cells (Tfh) are essential for establishing serological memory and have distinct helper attributes that impact both the quantity and quality of the antibody response. Insights into Tfh subsets that promote antibody persistence and functional capacity can critically inform vaccine design. Based on the Tfh profiles evoked by the live attenuated measles virus vaccine, renowned for its ability to establish durable humoral immunity, we investigated the potential of a Tfh1/17 recall response during the boost phase to enhance persistence of HIV-1 Envelope (Env) antibodies in rhesus macaques. Using a DNA-prime encoding gp160 antigen and Tfh polarizing cytokines …

Cagi, The Critical Assessment Of Genome Interpretation, Establishes Progress And Prospects For Computational Genetic Variant Interpretation Methods, Critical Assessment Of Genome Interpretation Consortium

Faculty, Staff and Student Publications

BACKGROUND: The Critical Assessment of Genome Interpretation (CAGI) aims to advance the state-of-the-art for computational prediction of genetic variant impact, particularly where relevant to disease. The five complete editions of the CAGI community experiment comprised 50 challenges, in which participants made blind predictions of phenotypes from genetic data, and these were evaluated by independent assessors.

RESULTS: Performance was particularly strong for clinical pathogenic variants, including some difficult-to-diagnose cases, and extends to interpretation of cancer-related variants. Missense variant interpretation methods were able to estimate biochemical effects with increasing accuracy. Assessment of methods for regulatory variants and complex trait disease risk was …

Estrogen Receptor Mutations As Novel Targets For Immunotherapy In Metastatic Estrogen Receptor-Positive Breast Cancer, Jonathan Goldberg, Na Qiao, Jennifer L Guerriero, Brett Gross, Yagiz Meneksedag, Yoshimi F Lu, Anne V Philips, Tasnim Rahman, Funda Meric-Bernstam, Jason Roszik, Ken Chen, Rinath Jeselsohn, Sara M Tolaney, George E Peoples, Gheath Alatrash, Elizabeth A Mittendorf

Faculty, Staff and Student Publications

UNLABELLED: Estrogen receptor-positive (ER+) breast cancer is not considered immunogenic and, to date, has been proven resistant to immunotherapy. Endocrine therapy remains the cornerstone of treatment for ER+ breast cancers. However, constitutively activating mutations in the estrogen receptor alpha (ESR1) gene can emerge during treatment, rendering tumors resistant to endocrine therapy. Although these mutations represent a pathway of resistance, they also represent a potential source of neoepitopes that can be targeted by immunotherapy. In this study, we investigated ESR1 mutations as novel targets for breast cancer immunotherapy. Using machine learning algorithms, we identified ESR1-derived peptides predicted to form stable complexes …

Somatostatin Receptor Subtype-2 Targeting System For Specific Delivery Of Temozolomide, Solmaz Aghaamiri, Sukhen C Ghosh, Servando Hernandez Vargas, Daniel M Halperin, Ali Azhdarinia

Faculty, Staff and Student Publications

Temozolomide (TMZ) is a DNA alkylating agent that produces objective responses in patients with neuroendocrine tumors (NETs) when the DNA repair enzyme O6-methylguanine-DNA methyltransferase (MGMT) is inactivated. At high doses, TMZ therapy exhausts MGMT activity but also produces dose-limiting toxicities. To reduce off-target effects, we converted the clinically approved radiotracer 68Ga-DOTA-TOC into a peptide-drug conjugate (PDC) for targeted delivery of TMZ to somatostatin receptor subtype-2 (SSTR2)-positive tumor cells. We used an integrated radiolabeling strategy for direct quantitative assessment of receptor binding, pharmacokinetics, and tissue biodistribution. In vitro studies revealed selective binding to SSTR2-positive cells with high affinity (5.98 ± 0.96 …

Comparative Genomics Incorporating Translocation Renal Cell Carcinoma Mouse Model Reveals Molecular Mechanisms Of Tumorigenesis, Gopinath Prakasam, Akhilesh Mishra, Alana Christie, Jeffrey Miyata, Deyssy Carrillo, Vanina T Tcheuyap, Hui Ye, Quyen N Do, Yunguan Wang, Oscar Reig Torras, Ramesh Butti, Hua Zhong, Jeffrey Gagan, Kevin B Jones, Thomas J Carroll, Zora Modrusan, Steffen Durinck, Mai-Carmen Requena-Komuro, Noelle S Williams, Ivan Pedrosa, Tao Wang, Dinesh Rakheja, Payal Kapur, James Brugarolas

Faculty, Staff and Student Publications

Translocation renal cell carcinoma (tRCC) most commonly involves an ASPSCR1-TFE3 fusion, but molecular mechanisms remain elusive and animal models are lacking. Here, we show that human ASPSCR1-TFE3 driven by Pax8-Cre (a credentialed clear cell RCC driver) disrupted nephrogenesis and glomerular development, causing neonatal death, while the clear cell RCC failed driver, Sglt2-Cre, induced aggressive tRCC (as well as alveolar soft part sarcoma) with complete penetrance and short latency. However, in both contexts, ASPSCR1-TFE3 led to characteristic morphological cellular changes, loss of epithelial markers, and an epithelial-mesenchymal transition. Electron microscopy of tRCC tumors showed lysosome expansion, and functional studies revealed simultaneous …

Bioengineered Skin For Diabetic Foot Ulcers: A Scoping Review, Nathaniel R. Primous, Peter Elvin, Kathleen V. Carter, Hagner L. Andrade, Javier La Fontaine, Naohiro Shibuya, Cláudia Cristina Biguetti

School of Podiatric Medicine Publications

Diabetic foot ulcers (DFUs) pose a significant threat to individuals with diabetes mellitus (DM), such as lower limb amputation and severe morbidity. Bioengineered skin substitutes (BSS) are alternatives to traditional interventions for treating DFUs, but their efficacy compared to standard wound care (SWC) or other treatment types, such as allografts, remains unknown. A scoping review of human studies was conducted to identify current approaches in the treatment of DFUs using BSS as compared with other treatment options. Systematic searches in PubMed, Cochrane Library, and Web of Science were conducted to identify comparative studies that enrolled 10 or more patients and …

Use Of Crispr Interference For Efficient And Rapid Gene Inactivation In Fusobacterium Nucleatum, Peng Zhou, Bibek G C, Flynn Stolte, Chenggang Wu

Faculty, Staff and Student Publications

Gene inactivation by creating in-frame deletion mutations in Fusobacterium nucleatum is time consuming, and most fusobacterial strains are genetically intractable. Addressing these problems, we introduced a riboswitch-based inducible CRISPR interference (CRISPRi) system. This system employs the nuclease-inactive Streptococcus pyogenes Cas9 protein (dCas9), specifically guided to the gene of interest by a constantly expressed single-guide RNA (sgRNA). Mechanistically, this dCas9-sgRNA complex serves as an insurmountable roadblock for RNA polymerase, thus repressing the target gene transcription. Leveraging this system, we first examined two non-essential genes, ftsX and radD, which are pivotal for fusobacterial cytokinesis and coaggregation. Upon adding the inducer, theophylline, …

Revascularization Strategies For Acute And Chronic Mesenteric Ischemia: A Narrative Review, Jacob J Gries, Takashi Sakamoto, Bing Chen, Hafeez Ul Hassan Virk, Mahboob Alam, Chayakrit Krittanawong

Faculty, Staff and Students Publications

Mesenteric ischemia is a challenging condition characterized by insufficient blood perfusion to the mesentery and, consequently, intestinal tissues that continues to perplex clinicians. Despite its low prevalence, the condition’s variable clinical presentation and elusive radiographic diagnosis can delay life-saving interventions in the acute setting and deteriorate the quality of life of patients when left undiagnosed or misdiagnosed. Purpose: Review and summarize recent diagnostic updates and emergent intervention strategies for acute and chronic mesenteric ischemia. Methods: A narrative review of all relevant studies from January 2022 through September 2023. Results: A total of 11 studies from MEDLINE, supplemented with 44 studies …

Antibody Profiling And Predictive Modeling Discriminate Between Kaposi Sarcoma And Asymptomatic Kshv Infection, Sydney J. Bennett, Dicle Yalcin, Sara R. Privatt, Owen Ngalamika, Salum J. Lidenge, John T. West, Charles Wood

School of Medicine Faculty Publications

Protein-level immunodominance patterns against Kaposi sarcoma-associated herpesvirus (KSHV), the aetiologic agent of Kaposi sarcoma (KS), have been revealed from serological probing of whole protein arrays, however, the epitopes that underlie these patterns have not been defined. We recently demonstrated the utility of phage display in high-resolution linear epitope mapping of the KSHV latency-associated nuclear antigen (LANA/ORF73). Here, a VirScan phage immunoprecipitation and sequencing approach, employing a library of 1,988 KSHV proteome-derived peptides, was used to quantify the breadth and magnitude of responses of 59 sub-Saharan African KS patients and 22 KSHV-infected asymptomatic individuals (ASY), and ultimately to support an application …

Progestin-Associated Meningiomatosis With Unusual Schwannoma-Like Morphology, Katherine A Krause, Jared K Woods, Alexandra J Golby, Eudocia Q Lee, Shyam Tanguturi, Zachary Spigelman, Azra H Ligon, Umberto De Girolami, Matthew Torre

Duncan NRI Faculty and Staff Publications

No abstract provided.

Immunogenicity Phase Ii Study Evaluating Booster Capacity Of Nonadjuvanted Aks-452 Sars-Cov-2 Rbd Fc Vaccine, David G Alleva, Eline A Feitsma, Yester F Janssen, Hendrikus H Boersma, Thomas M Lancaster, Thillainaygam Sathiyaseelan, Sylaja Murikipudi, Andrea R Delpero, Melanie M Scully, Ramya Ragupathy, Sravya Kotha, Jeffrey R Haworth, Nishit J Shah, Vidhya Rao, Shashikant Nagre, Shannon E Ronca, Freedom M Green, Stephen A Shaw, Ari Aminetzah, Schelto Kruijff, Maarten Brom, Gooitzen M Van Dam, Todd C Zion

Faculty, Staff and Students Publications

AKS-452, a subunit vaccine comprising an Fc fusion of the ancestral wild-type (WT) SARS-CoV-2 virus spike protein receptor binding domain (SP/RBD), was evaluated without adjuvant in a single cohort, non-randomized, open-labelled phase II study (NCT05124483) at a single site in The Netherlands for safety and immunogenicity. A single 90 µg subcutaneous booster dose of AKS-452 was administered to 71 adults previously primed with a registered mRNA- or adenovirus-based vaccine and evaluated for 273 days. All AEs were mild and no SAEs were attributable to AKS-452. While all subjects showed pre-existing SP/RBD binding and ACE2-inhibitory IgG titers, 60-68% responded to AKS-452 …

Collagen Type Xii Is Undetectable In Keratoconus Bowman’S Layer, Mohammed Rigi, Hyeck-Soo Son, Loren Moon, Mario Matthaei, Divya Srikumaran, Albert S Jun, Charles G Eberhart, Uri S Soiberman

Faculty, Staff and Student Publications

PURPOSE: Corneal biomechanical failure is the hallmark of keratoconus (KC); however, the cause of this failure remains elusive. Collagen type XII (

METHODS: TaqMan quantitative PCR was performed on 31 corneal epithelium samples of progressive KC and myopic control eyes. Tissue microarrays were constructed using full-thickness corneas from 61 KC cases during keratoplasty and 18 non-KC autopsy eyes and stained with an antibody specific to COL12A1. Additionally,

RESULTS: COL12A1 expression was reduced at transcript levels in KC epithelium compared to controls (ratio: 0.58, p<0.03). Immunohistochemical studies demonstrated that COL12A1 protein expression in BL was undetectable, with reduced expression in KC epithelium, basement membrane, and stroma.

CONCLUSIONS: The apparent absence of COL12A1 in KC BL, together with the functional importance that

Treatment Strategies For Anti-Vegf Resistance In Neovascular Age-Related Macular Degeneration By Targeting Arteriolar Choroidal Neovascularization, Yingbin Fu, Zhao Zhang, Keith A Webster, Yannis M Paulus

Faculty, Staff and Students Publications

Despite extensive use of intravitreal anti-vascular endothelial growth factor (anti-VEGF) biologics for over a decade, neovascular age-related macular degeneration (nAMD) or choroidal neovascularization (CNV) continues to be a major cause of irreversible vision loss in developed countries. Many nAMD patients demonstrate persistent disease activity or experience declining responses over time despite anti-VEGF treatment. The underlying mechanisms of anti-VEGF resistance are poorly understood, and no effective treatment strategies are available to date. Here we review evidence from animal models and clinical studies that supports the roles of neovascular remodeling and arteriolar CNV formation in anti-VEGF resistance. Cholesterol dysregulation, inflammation, and ensuing …

New Onset Positive Autoantibodies Following Covid-19 Infection, David Hernandez, Adnaan Sheikh, Shakira Laing, Mariana Adieb, Omar Siddiqui, Rohail Baig, Annabel Antonini, James Vienneau, Camden Burns

Advances in Clinical Medical Research and Healthcare Delivery

The World Health Organization (WHO) declared the novel coronavirus (COVID-19) outbreak a global pandemic on March 11, 2020. Since the original outbreak in December 2019, over 100 million people have been confirmed to have been infected by COVID-19 and over two million people have died. The presentation seen in patients may vary widely based on multiple factors. Fever has been reported in up to 99% of patients, while other common symptoms seen are dyspnea, fatigue, anosmia, and myalgia. Around 80% of COVID-19 patients present with a mild respiratory illness that can be managed at home, while around 15% need basic …

Predictive Modeling And Cryo-Em: A Synergistic Approach To Modeling Macromolecular Structure, Michael R Corum, Harikanth Venkannagari, Corey F Hryc, Matthew L Baker

Faculty, Staff and Student Publications

Over the last 15 years, structural biology has seen unprecedented development and improvement in two areas: electron cryo-microscopy (cryo-EM) and predictive modeling. Once relegated to low resolutions, single-particle cryo-EM is now capable of achieving near-atomic resolutions of a wide variety of macromolecular complexes. Ushered in by AlphaFold, machine learning has powered the current generation of predictive modeling tools, which can accurately and reliably predict models for proteins and some complexes directly from the sequence alone. Although they offer new opportunities individually, there is an inherent synergy between these techniques, allowing for the construction of large, complex macromolecular models. Here, we …

Current Strategies For Increasing Knock-In Efficiency In Crispr/Cas9-Based Approaches, Andrés Felipe Leal, Angelica María Herreno-Pachón, Eliana Benincore-Flórez, Amali Karunathilaka, Shunji Tomatsu

Department of Pediatrics Faculty Papers

Since its discovery in 2012, the clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein 9 (Cas9) system has supposed a promising panorama for developing novel and highly precise genome editing-based gene therapy (GT) alternatives, leading to overcoming the challenges associated with classical GT. Classical GT aims to deliver transgenes to the cells via their random integration in the genome or episomal persistence into the nucleus through lentivirus (LV) or adeno-associated virus (AAV), respectively. Although high transgene expression efficiency is achieved by using either LV or AAV, their nature can result in severe side effects in humans. For instance, …

An Extended Bayesian Semi-Mechanistic Dose-Finding Design For Phase I Oncology Trials Using Pharmacokinetic And Pharmacodynamic Information, Chao Yang, Yisheng Li

Faculty, Staff and Student Publications

We propose a model-based, semi-mechanistic dose-finding (SDF) design for phase I oncology trials that incorporates pharmacokinetic/pharmacodynamic (PK/PD) information when modeling the dose-toxicity relationship. This design is motivated by a phase Ib/II clinical trial of anti-CD20/CD3 T cell therapy in non-Hodgkin lymphoma patients; it extends a recently proposed SDF model framework by incorporating measurements of a PD biomarker relevant to the primary dose-limiting toxicity (DLT). We propose joint Bayesian modeling of the PK, PD, and DLT outcomes. Our extensive simulation studies show that on average the proposed design outperforms some common phase I trial designs, including modified toxicity probability interval (mTPI) …

Molecular, Metabolic, And Subcellular Mapping Of The Tumor Immune Microenvironment Via 3d Targeted And Non-Targeted Multiplex Multi-Omics Analyses, Sammy Ferri-Borgogno, Jared K Burks, Erin H Seeley, Trevor D Mckee, Danielle L Stolley, Akshay V Basi, Javier A Gomez, Basant T Gamal, Shamini Ayyadhury, Barrett C Lawson, Melinda S Yates, Michael J Birrer, Karen H Lu, Samuel C Mok

Faculty, Staff and Student Publications

Most platforms used for the molecular reconstruction of the tumor-immune microenvironment (TIME) of a solid tumor fail to explore the spatial context of the three-dimensional (3D) space of the tumor at a single-cell resolution, and thus lack information about cell-cell or cell-extracellular matrix (ECM) interactions. To address this issue, a pipeline which integrated multiplex spatially resolved multi-omics platforms was developed to identify crosstalk signaling networks among various cell types and the ECM in the 3D TIME of two FFPE (formalin-fixed paraffin embedded) gynecologic tumor samples. These platforms include non-targeted mass spectrometry imaging (glycans, metabolites, and peptides) and Stereo-seq (spatial transcriptomics) …