Digital Commons Network^™

Summit-Fa: A New Resource For Improved Transcriptome Imputation Using Functional Annotations, Hunter J Melton, Zichen Zhang, Chong Wu

Faculty, Staff and Student Publications

Transcriptome-wide association studies (TWAS) integrate gene expression prediction models and genome-wide association studies (GWAS) to identify gene-trait associations. The power of TWAS is determined by the sample size of GWAS and the accuracy of the expression prediction model. Here, we present a new method, the Summary-level Unified Method for Modeling Integrated Transcriptome using Functional Annotations (SUMMIT-FA), which improves gene expression prediction accuracy by leveraging functional annotation resources and a large expression quantitative trait loci (eQTL) summary-level dataset. We build gene expression prediction models in whole blood using SUMMIT-FA with the comprehensive functional database MACIE and eQTL summary-level data from the …

Understanding Heterogeneity In Individual Responses To Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories In Adults With Overweight Or Obesity: Secondary Analysis Of A 6-Month Randomized Controlled Trial, Shiyu Li, Yan Du, Hongyu Miao, Kumar Sharma, Chengdong Li, Zenong Yin, Bradley Brimhall, Jing Wang

Faculty, Staff and Student Publications

Background: Achieving clinically significant weight loss through lifestyle interventions for obesity management is challenging for most individuals. Improving intervention effectiveness involves early identification of intervention nonresponders and providing them with timely, tailored interventions. Early and frequent self-monitoring (SM) adherence predicts later weight loss success, making it a potential indicator for identifying nonresponders in the initial phase.

Objective: This study aims to identify clinically meaningful participant subgroups based on longitudinal adherence to SM of diet, activity, and weight over 6 months as well as psychological predictors of participant subgroups from a self-determination theory (SDT) perspective.

Methods: This was a secondary data …

Synthetic Pet From Ct Improves Diagnosis And Prognosis For Lung Cancer: Proof Of Concept, Morteza Salehjahromi, Tatiana V Karpinets, Sheeba J Sujit, Mohamed Qayati, Pingjun Chen, Muhammad Aminu, Maliazurina B Saad, Rukhmini Bandyopadhyay, Lingzhi Hong, Ajay Sheshadri, Julie Lin, Mara B Antonoff, Boris Sepesi, Edwin J Ostrin, Iakovos Toumazis, Peng Huang, Chao Cheng, Tina Cascone, Natalie I Vokes, Carmen Behrens, Jeffrey H Siewerdsen, John D Hazle, Joe Y Chang, Jianhua Zhang, Yang Lu, Myrna C B Godoy, Caroline Chung, David Jaffray, Ignacio Wistuba, J Jack Lee, Ara A Vaporciyan, Don L Gibbons, Gregory Gladish, John V Heymach, Carol C Wu, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

[18F]Fluorodeoxyglucose positron emission tomography (FDG-PET) and computed tomography (CT) are indispensable components in modern medicine. Although PET can provide additional diagnostic value, it is costly and not universally accessible, particularly in low-income countries. To bridge this gap, we have developed a conditional generative adversarial network pipeline that can produce FDG-PET from diagnostic CT scans based on multi-center multi-modal lung cancer datasets (n = 1,478). Synthetic PET images are validated across imaging, biological, and clinical aspects. Radiologists confirm comparable imaging quality and tumor contrast between synthetic and actual PET scans. Radiogenomics analysis further proves that the dysregulated cancer hallmark pathways of …

Visual Outcome And Ocular Complications In Patients With Lacrimal Gland Carcinoma After Eye-Sparing Surgery And Adjuvant Radiation Therapy, Zhenyang Zhao, Steven Jay Frank, Jing Ning, Jiawei Zhao, Xinyang Jiang, Xin A Wang, Amy C Schefler, Ehab Hanna, Amy Moreno, Brandon Gunn, Renata Ferrarotto, Bita Esmaeli

Faculty, Staff and Student Publications

Background: We report visual outcomes and ocular complications in patients with lacrimal gland carcinoma who had eye-sparing surgery followed by radiotherapy.

Methods: This review included consecutive patients with lacrimal gland carcinoma who underwent eye-sparing surgery and adjuvant radiotherapy or concurrent chemoradiation therapy between 2007 and 2018. Clinical data, including details of ophthalmological examinations and radiation treatment were reviewed.

Results: The study included 23 patients, 15 males and 8 females, with median age 51 years. Twenty patients (87%) received intensity-modulated proton therapy; 3 (13%) received intensity-modulated radiotherapy. Nineteen patients (83%) received concurrent chemotherapy. After a median follow-up time of 37 months …

Free-Flowing Polymer-Bonded Powder Composition Of Hexahydro-1,3,5-Trinitro-1,3,5-Triazine Using Solvent-Slurry Coating, Muhammad Soulaman Khan, Muhammad Ahsan, Sarah Farrukh, Erum Pervaiz, Abdul Qadeer Malik

Faculty, Staff and Student Publications

A number of coating techniques have been used to improve the processability of high explosives. These techniques are typically used for developing compositions, such as boosters and fillers. The most typically used technique is the "solvent-slurry coating". Several compositions of polymer-bonded explosives have been industrialized using this technique. The NUPC-6 polymer-bonded powder composition of hexahydro-1,3,5-trinitro-1,3,5-triazine is optimized using the solvent-slurry coating. It involved multiple processes, i.e., preparing a slurry of high explosives in an aqueous phase, dissolving the modified polymer binder in an organic solvent, maintaining both the solvent and slurry at controlled temperatures, introducing polymer binder solution and ingredients …

Hematopoietic Stem Cells With Granulo-Monocytic Differentiation State Overcome Venetoclax Sensitivity In Patients With Myelodysplastic Syndromes, Juan Jose Rodriguez-Sevilla, Irene Ganan-Gomez, Feiyang Ma, Kelly Chien, Monica Del Rey, Sanam Loghavi, Guillermo Montalban-Bravo, Vera Adema, Bethany Wildeman, Rashmi Kanagal-Shamanna, Alexandre Bazinet, Helen T Chifotides, Natthakan Thongon, Xavier Calvo, Jesús María Hernández-Rivas, Maria Díez-Campelo, Guillermo Garcia-Manero, Simona Colla

Faculty, Staff and Student Publications

The molecular mechanisms of venetoclax-based therapy failure in patients with acute myeloid leukemia were recently clarified, but the mechanisms by which patients with myelodysplastic syndromes (MDS) acquire secondary resistance to venetoclax after an initial response remain to be elucidated. Here, we show an expansion of MDS hematopoietic stem cells (HSCs) with a granulo-monocytic-biased transcriptional differentiation state in MDS patients who initially responded to venetoclax but eventually relapsed. While MDS HSCs in an undifferentiated cellular state are sensitive to venetoclax treatment, differentiation towards a granulo-monocytic-biased transcriptional state, through the acquisition or expansion of clones with STAG2 or RUNX1 mutations, affects HSCs' …

Cns-Associated Macrophages Contribute To Intracerebral Aneurysm Pathophysiology, Martina Glavan, Ana Jelic, Damien Levard, Juhana Frösen, Sara Keränen, Bart A A Franx, Ana-Rita Bras, Estelle R Louet, Ádám Dénes, Mario Merlini, Denis Vivien, Marina Rubio

Faculty, Staff and Student Publications

Simple Summary

Vestibular schwannoma (VS), benign cranial nerve sheath tumors of the vestibulocochlear nerve, lack efficacious systemic therapies, especially if they develop in a NF2-related schwannomatosis (NF2) background. They cause hearing loss, tinnitus and balance problems. Metastasis associated in colon cancer 1 (MACC1) is a key driver of metastasis. Although MACC1 expression is associated with highly malignant tumors and VS are considered benign, both are attached to the HGF/MET signaling pathway and MACC1 is a candidate gene localized at a hearing loss-related gene locus. Therefore, it was investigated whether MACC1 might be involved in VS pathogenesis. Surprisingly, MACC1 expression …

Fungi Of The Order Mucorales Express A “Sealing-Only” Trna Ligase, Khondakar Sayef Ahammed, Ambro Van Hoof

Faculty, Staff and Student Publications

Some eukaryotic pre-tRNAs contain an intron that is removed by a dedicated set of enzymes. Intron-containing pre-tRNAs are cleaved by tRNA splicing endonuclease, followed by ligation of the two exons and release of the intron. Fungi use a "heal and seal" pathway that requires three distinct catalytic domains of the tRNA ligase enzyme, Trl1. In contrast, humans use a "direct ligation" pathway carried out by RTCB, an enzyme completely unrelated to Trl1. Because of these mechanistic differences, Trl1 has been proposed as a promising drug target for fungal infections. To validate Trl1 as a broad-spectrum drug target, we show that …

Long Noncoding Rna Malat1 Protects Against Osteoporosis And Bone Metastasis, Yang Zhao, Jingyuan Ning, Hongqi Teng, Yalan Deng, Marisela Sheldon, Lei Shi, Consuelo Martinez, Jie Zhang, Annie Tian, Yutong Sun, Shinichi Nakagawa, Fan Yao, Hai Wang, Li Ma

Faculty, Staff and Student Publications

MALAT1, one of the few highly conserved nuclear long noncoding RNAs (lncRNAs), is abundantly expressed in normal tissues. Previously, targeted inactivation and genetic rescue experiments identified MALAT1 as a suppressor of breast cancer lung metastasis. On the other hand, Malat1-knockout mice are viable and develop normally. On a quest to discover the fundamental roles of MALAT1 in physiological and pathological processes, we find that this lncRNA is downregulated during osteoclastogenesis in humans and mice. Remarkably, Malat1 deficiency in mice promotes osteoporosis and bone metastasis of melanoma and mammary tumor cells, which can be rescued by genetic add-back of Malat1. Mechanistically, …

Automatic Active Lesion Tracking In Multiple Sclerosis Using Unsupervised Machine Learning, Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh

Faculty, Staff and Student Publications

Background: Identifying active lesions in magnetic resonance imaging (MRI) is crucial for the diagnosis and treatment planning of multiple sclerosis (MS). Active lesions on MRI are identified following the administration of Gadolinium-based contrast agents (GBCAs). However, recent studies have reported that repeated administration of GBCA results in the accumulation of Gd in tissues. In addition, GBCA administration increases health care costs. Thus, reducing or eliminating GBCA administration for active lesion detection is important for improved patient safety and reduced healthcare costs. Current state-of-the-art methods for identifying active lesions in brain MRI without GBCA administration utilize data-intensive deep learning methods.

Objective: …

Automatic Active Lesion Tracking In Multiple Sclerosis Using Unsupervised Machine Learning, Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh

Faculty, Staff and Student Publications

BACKGROUND: Identifying active lesions in magnetic resonance imaging (MRI) is crucial for the diagnosis and treatment planning of multiple sclerosis (MS). Active lesions on MRI are identified following the administration of Gadolinium-based contrast agents (GBCAs). However, recent studies have reported that repeated administration of GBCA results in the accumulation of Gd in tissues. In addition, GBCA administration increases health care costs. Thus, reducing or eliminating GBCA administration for active lesion detection is important for improved patient safety and reduced healthcare costs. Current state-of-the-art methods for identifying active lesions in brain MRI without GBCA administration utilize data-intensive deep learning methods.

OBJECTIVE: …

Downregulation Of Irf8 In Alveolar Macrophages By G-Csf Promotes Metastatic Tumor Progression, Stephanie L Tzetzo, Elliot D Kramer, Hemn Mohammadpour, Minhyung Kim, Spencer R Rosario, Han Yu, Melissa R Dolan, Chetan C Oturkar, Brian G Morreale, Paul N Bogner, Aimee B Stablewski, Fernando J Benavides, Craig M Brackett, John M L Ebos, Gokul M Das, Mateusz Opyrchal, Michael J Nemeth, Sharon S Evans, Scott I Abrams

Faculty, Staff and Student Publications

Tissue-resident macrophages (TRMs) are abundant immune cells within pre-metastatic sites, yet their functional contributions to metastasis remain incompletely understood. Here, we show that alveolar macrophages (AMs), the main TRMs of the lung, are susceptible to downregulation of the immune stimulatory transcription factor IRF8, impairing anti-metastatic activity in models of metastatic breast cancer. G-CSF is a key tumor-associated factor (TAF) that acts upon AMs to reduce IRF8 levels and facilitate metastasis. Translational relevance of IRF8 downregulation was observed among macrophage precursors in breast cancer and a

Toward Clinical-Grade Evaluation Of Large Language Models, Amy C Moreno, Danielle S Bitterman

Faculty, Staff and Student Publications

No abstract provided.

Identification Of Genetically Predicted Dna Methylation Markers Associated With Non-Small Cell Lung Cancer Risk Among 34,964 Cases And 448,579 Controls, Xiaoyu Zhao, Meiqi Yang, Jingyi Fan, Mei Wang, Yifan Wang, Na Qin, Meng Zhu, Yue Jiang, Olga Y Gorlova, Ivan P Gorlov, Demetrius Albanes, Stephen Lam, Adonina Tardón, Chu Chen, Gary E Goodman, Stig E Bojesen, Maria Teresa Landi, Mattias Johansson, Angela Risch, H-Erich Wichmann, Heike Bickeböller, David C Christiani, Gad Rennert, Susanne M Arnold, Paul Brennan, John K Field, Sanjay Shete, Loïc Le Marchand, Geoffrey Liu, Rayjean J Hung, Angeline S Andrew, Lambertus A Kiemeney, Shanbeh Zienolddiny, Kjell Grankvist, Mikael Johansson, Neil E Caporaso, Penella J Woll, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Alpa V Patel, Michael P A Davies, Hongxia Ma, Guangfu Jin, Zhibin Hu, Christopher I Amos, Hongbing Shen, Juncheng Dai

Faculty, Staff and Student Publications

BACKGROUND: Although the associations between genetic variations and lung cancer risk have been explored, the epigenetic consequences of DNA methylation in lung cancer development are largely unknown. Here, the genetically predicted DNA methylation markers associated with non-small cell lung cancer (NSCLC) risk by a two-stage case-control design were investigated.

METHODS: The genetic prediction models for methylation levels based on genetic and methylation data of 1595 subjects from the Framingham Heart Study were established. The prediction models were applied to a fixed-effect meta-analysis of screening data sets with 27,120 NSCLC cases and 27,355 controls to identify the methylation markers, which were …

Label-Aware Distance Mitigates Temporal And Spatial Variability For Clustering And Visualization Of Single-Cell Gene Expression Data, Shaoheng Liang, Jinzhuang Dou, Ramiz Iqbal, Ken Chen

Faculty, Staff and Student Publications

Clustering and visualization are essential parts of single-cell gene expression data analysis. The Euclidean distance used in most distance-based methods is not optimal. The batch effect, i.e., the variability among samples gathered from different times, tissues, and patients, introduces large between-group distance and obscures the true identities of cells. To solve this problem, we introduce Label-Aware Distance (LAD), a metric using temporal/spatial locality of the batch effect to control for such factors. We validate LAD on simulated data as well as apply it to a mouse retina development dataset and a lung dataset. We also found the utility of our …

A Novel Spatiotemporal Graph Convolutional Network Framework For Functional Connectivity Biomarkers Identification Of Alzheimer’S Disease, Ying Zhang, Le Xue, Shuoyan Zhang, Jiacheng Yang, Qi Zhang, Min Wang, Luyao Wang, Mingkai Zhang, Jiehui Jiang, Yunxia Li

Faculty, Staff and Student Publications

BACKGROUND: Functional connectivity (FC) biomarkers play a crucial role in the early diagnosis and mechanistic study of Alzheimer's disease (AD). However, the identification of effective FC biomarkers remains challenging. In this study, we introduce a novel approach, the spatiotemporal graph convolutional network (ST-GCN) combined with the gradient-based class activation mapping (Grad-CAM) model (STGC-GCAM), to effectively identify FC biomarkers for AD.

METHODS: This multi-center cross-racial retrospective study involved 2,272 participants, including 1,105 cognitively normal (CN) subjects, 790 mild cognitive impairment (MCI) individuals, and 377 AD patients. All participants underwent functional magnetic resonance imaging (fMRI) and T1-weighted MRI scans. In this study, …

Safety And Efficacy Of Dynamic Catheter-Directed Cerebral Digital Subtraction Angiography For Diagnosis Of Bowhunter Syndrome Spectrum Disorders: A Systematic Review Of The Literature, Joo Won Choi, Yang Qiao, Tej I Mehta, Jessica N Wilson, Trevor H Torigoe, Samuel Tsappidi, Y Jonathan Zhang, Stacy C Brown, Ferdinand K Hui, Todd Abruzzo

Faculty, Staff and Student Publications

Introduction: Dynamic catheter-directed cerebral digital subtraction angiography (dcDSA) is the gold standard for diagnosing dynamic vascular occlusion syndromes such as bowhunter syndrome (BHS). Nonetheless, concerns about its safety exist and no standardized protocols have been published to date.

Methods: We describe our methodology and insights regarding the use of dcDSA in patients with BHS. We also perform a systematic literature review to identify cases of typical and atypical presentations of BHS wherein dcDSA was utilized and report on any procedural complications related to dcDSA.

Results: Our study included 104 cases wherein dcDSA was used for the diagnosis of BHS. There …

Genomic Evolution Shapes Prostate Cancer Disease Type, Dan J Woodcock, Atef Sahli, Ruxandra Teslo, Vinayak Bhandari, Andreas J Gruber, Aleksandra Ziubroniewicz, Gunes Gundem, Yaobo Xu, Adam Butler, Ezequiel Anokian, Bernard J Pope, Chol-Hee Jung, Maxime Tarabichi, Stefan C Dentro, J Henry R Farmery, Cruk Icgc Prostate Group, Peter Van Loo, Anne Y Warren, Vincent Gnanapragasam, Freddie C Hamdy, G Steven Bova, Christopher S Foster, David E Neal, Yong-Jie Lu, Zsofia Kote-Jarai, Michael Fraser, Robert G Bristow, Paul C Boutros, Anthony J Costello, Niall M Corcoran, Christopher M Hovens, Charlie E Massie, Andy G Lynch, Daniel S Brewer, Rosalind A Eeles, Colin S Cooper, David C Wedge

Faculty, Staff and Student Publications

The development of cancer is an evolutionary process involving the sequential acquisition of genetic alterations that disrupt normal biological processes, enabling tumor cells to rapidly proliferate and eventually invade and metastasize to other tissues. We investigated the genomic evolution of prostate cancer through the application of three separate classification methods, each designed to investigate a different aspect of tumor evolution. Integrating the results revealed the existence of two distinct types of prostate cancer that arise from divergent evolutionary trajectories, designated as the Canonical and Alternative evolutionary disease types. We therefore propose the evotype model for prostate cancer evolution wherein Alternative-evotype …

An Exposome Atlas Of Serum Reveals The Risk Of Chronic Diseases In The Chinese Population, Lei You, Jing Kou, Mengdie Wang, Guoqin Ji, Xiang Li, Chang Su, Fujian Zheng, Mingye Zhang, Yuting Wang, Tiantian Chen, Ting Li, Lina Zhou, Xianzhe Shi, Chunxia Zhao, Xinyu Liu, Surong Mei, Guowang Xu

Faculty, Staff and Student Publications

Although adverse environmental exposures are considered a major cause of chronic diseases, current studies provide limited information on real-world chemical exposures and related risks. For this study, we collected serum samples from 5696 healthy people and patients, including those with 12 chronic diseases, in China and completed serum biomonitoring including 267 chemicals via gas and liquid chromatography-tandem mass spectrometry. Seventy-four highly frequently detected exposures were used for exposure characterization and risk analysis. The results show that region is the most critical factor influencing human exposure levels, followed by age. Organochlorine pesticides and perfluoroalkyl substances are associated with multiple chronic diseases, …

Evaluation Of Treatment Parameters For Focused-Extracorporeal Shock Wave Therapy In Knee Osteoarthritis Patients With Bone Marrow Lesions: A Pilot Study, Hani Al-Abbad, Jacqueline E Reznik, Erik Biros, Bruce Paulik, Rob Will, Samuel Gane, Penny Moss, Anthony Wright

Faculty, Staff and Student Publications

OBJECTIVES: To evaluate the effect of different dosage parameters of focused-extracorporeal shock wave therapy on pain and physical function in knee osteoarthritis patients with bone marrow lesions. In addition, to investigate pathophysiological changes based on imaging and biomarker measures.

METHODS: Using a single-case experimental design, a total of 12 participants were randomly allocated in 4 equal groups of 3 to receive different dosages of focused-extracorporeal shock wave therapy. Each group received either 4 or 6 sessions of 1500 or 3000 shocks over 4 or 6 weekly sessions. Participants underwent repeated measurements during the baseline, intervention, and post-intervention phases for Western …

Landscape Of Pharmacogenetic Variants Associated With Non-Insulin Antidiabetic Drugs In The Indian Population, Ambily Sivadas, S Sahana, Bani Jolly, Rahul C Bhoyar, Abhinav Jain, Disha Sharma, Mohamed Imran, Vigneshwar Senthivel, Mohit Kumar Divakar, Anushree Mishra, Arpita Mukhopadhyay, Greg Gibson, Km Venkat Narayan, Sridhar Sivasubbu, Vinod Scaria, Anura V Kurpad

Faculty, Staff and Student Publications

INTRODUCTION: Genetic variants contribute to differential responses to non-insulin antidiabetic drugs (NIADs), and consequently to variable plasma glucose control. Optimal control of plasma glucose is paramount to minimizing type 2 diabetes-related long-term complications. India's distinct genetic architecture and its exploding burden of type 2 diabetes warrants a population-specific survey of NIAD-associated pharmacogenetic (PGx) variants. The recent availability of large-scale whole genomes from the Indian population provides a unique opportunity to generate a population-specific map of NIAD-associated PGx variants.

RESEARCH DESIGN AND METHODS: We mined 1029 Indian whole genomes for PGx variants, drug-drug interaction (DDI) and drug-drug-gene interactions (DDGI) associated with …

Distributed Neural Representations Of Conditioned Threat In The Human Brain, Zhenfu Wen, Edward F Pace-Schott, Sara W Lazar, Jörgen Rosén, Fredrik Åhs, Elizabeth A Phelps, Joseph E Ledoux, Mohammed R Milad

Faculty, Staff and Student Publications

Detecting and responding to threat engages several neural nodes including the amygdala, hippocampus, insular cortex, and medial prefrontal cortices. Recent propositions call for the integration of more distributed neural nodes that process sensory and cognitive facets related to threat. Integrative, sensitive, and reproducible distributed neural decoders for the detection and response to threat and safety have yet to be established. We combine functional MRI data across varying threat conditioning and negative affect paradigms from 1465 participants with multivariate pattern analysis to investigate distributed neural representations of threat and safety. The trained decoders sensitively and specifically distinguish between threat and safety …

Author Correction: Hypomorphic Brca2 And Rad51c Double Mutant Mice Display Fanconi Anemia, Cancer And Polygenic Replication Stress, Karl-Heinz Tomaszowski, Sunetra Roy, Carolina Guerrero, Poojan Shukla, Caezaan Keshvani, Yue Chen, Martina Ott, Xiaogang Wu, Jianhua Zhang, Courtney D Dinardo, Detlev Schindler, Katharina Schlacher

Faculty, Staff and Student Publications

No abstract provided.

Toward Generalizable Machine Learning Models In Speech, Language, And Hearing Sciences: Estimating Sample Size And Reducing Overfitting, Hamzeh Ghasemzadeh, Robert E Hillman, Daryush D Mehta

Faculty, Staff and Student Publications

PURPOSE: Many studies using machine learning (ML) in speech, language, and hearing sciences rely upon cross-validations with single data splitting. This study's first purpose is to provide quantitative evidence that would incentivize researchers to instead use the more robust data splitting method of nested

METHOD: First, the significant impact of different cross-validations on ML outcomes was demonstrated using real-world clinical data. Then, Monte Carlo simulations were used to quantify the interactions among the employed cross-validation method, the discriminative power of features, the dimensionality of the feature space, the dimensionality of the model, and the sample size. Four different cross-validation methods …

Automating Data Analysis For Hydrogen/Deuterium Exchange Mass Spectrometry Using Data-Independent Acquisition Methodology, Frantisek Filandr, Vladimir Sarpe, Shaunak Raval, D Alex Crowder, Morgan F Khan, Pauline Douglas, Stephen Coales, Rosa Viner, Aleem Syed, John A Tainer, Susan P Lees-Miller, David C Schriemer

Faculty, Staff and Student Publications

We present a hydrogen/deuterium exchange workflow coupled to tandem mass spectrometry (HX-MS2) that supports the acquisition of peptide fragment ions alongside their peptide precursors. The approach enables true auto-curation of HX data by mining a rich set of deuterated fragments, generated by collisional-induced dissociation (CID), to simultaneously confirm the peptide ID and authenticate MS1-based deuteration calculations. The high redundancy provided by the fragments supports a confidence assessment of deuterium calculations using a combinatorial strategy. The approach requires data-independent acquisition (DIA) methods that are available on most MS platforms, making the switch to HX-MS2 straightforward. Importantly, we find that HX-DIA enables …

Metabolomic Profiles In Jamaican Children With And Without Autism Spectrum Disorder, Akram Yazdani, Maureen Samms-Vaughan, Sepideh Saroukhani, Jan Bressler, Manouchehr Hessabi, Amirali Tahanan, Megan L Grove, Tanja Gangnus, Vasanta Putluri, Abu Hena Mostafa Kamal, Nagireddy Putluri, Katherine A Loveland, Mohammad H Rahbar

Faculty, Staff and Student Publications

BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with a wide range of behavioral and cognitive impairments. While genetic and environmental factors are known to contribute to its etiology, the underlying metabolic perturbations associated with ASD which can potentially connect genetic and environmental factors, remain poorly understood. Therefore, we conducted a metabolomic case-control study and performed a comprehensive analysis to identify significant alterations in metabolite profiles between children with ASD and typically developing (TD) controls.

OBJECTIVE: To elucidate potential metabolomic signatures associated with ASD in children and identify specific metabolites that may serve as biomarkers for the disorder. …

High Response Rate With Extended Dosing Of Cemiplimab In Advanced Cutaneous Squamous Cell Carcinoma, Danny Rischin, Brett G M Hughes, Nicole Basset-Séguin, Dirk Schadendorf, Samantha Bowyer, Sabiha Trabelsi Messai, Friedegund Meier, Thomas K Eigentler, Victoria Casado Echarren, Brian Stein, Marie Beylot-Barry, Sophie Dalac, Brigitte Dréno, Michael R Migden, Axel Hauschild, Chrysalyne D Schmults, Annette M Lim, Suk-Young Yoo, Anne J Paccaly, Apostolos Papachristos, Jenny-Hoa Nguyen, Emmanuel Okoye, Frank Seebach, Jocelyn Booth, Israel Lowy, Matthew G Fury, Alexander Guminski

Faculty, Staff and Student Publications

BACKGROUND: Cemiplimab (Libtayo

METHODS: In this open-label, phase II trial (ClinicalTrials.gov identifier NCT02760498), the cohort of patients ≥18 years old with advanced CSCC received cemiplimab 600 mg intravenously Q4W for up to 48 weeks. Tumor measurements were recorded every 8 weeks. The primary endpoint was objective response rate by independent central review.

RESULTS: Sixty-three patients with advanced CSCC were treated with cemiplimab. The median duration of follow-up was 22.4 months (range: 1.0-39.8). An objective response was observed in 39 patients (62%; 95% CI: 48.8% to 73.9%), with 22% of patients (n

CONCLUSIONS: Extended dosing of cemiplimab 600 mg intravenously Q4W …

Ape-Gen20: Expanding Rapid Class I Peptide-Major Histocompatibility Complex Modeling To Post-Translational Modifications And Noncanonical Peptide Geometries, Romanos Fasoulis, Mauricio M Rigo, Gregory Lizée, Dinler A Antunes, Lydia E Kavraki

Faculty, Staff and Student Publications

The recognition of peptides bound to class I major histocompatibility complex (MHC-I) receptors by T-cell receptors (TCRs) is a determinant of triggering the adaptive immune response. While the exact molecular features that drive the TCR recognition are still unknown, studies have suggested that the geometry of the joint peptide–MHC (pMHC) structure plays an important role. As such, there is a definite need for methods and tools that accurately predict the structure of the peptide bound to the MHC-I receptor. In the past few years, many pMHC structural modeling tools have emerged that provide high-quality modeled structures in the general case. …

Nanofibrous Multidomain Peptide Hydrogels Provide T Cells A 3d, Cytocompatible Environment For Cell Expansion And Antigen-Specific Killing, Viridiana Leyva-Aranda, Shailbala Singh, Maria J Telesforo, Simon Young, Cassian Yee, Jeffrey D Hartgerink

Faculty, Staff and Student Publications

T cells have the ability to recognize and kill specific target cells, giving therapies based on their potential for treating infection, diabetes, cancer, and other diseases. However, the advancement of T cell-based treatments has been hindered by difficulties in their ex vivo activation and expansion, the number of cells required for sustained in vivo levels, and preferential localization following systemic delivery. Biomaterials may help to overcome many of these challenges by providing a combined means of proliferation, antigen presentation, and cell localization upon delivery. In this work, we studied self-assembling Multidomain Peptides (MDPs) as scaffolds for T cell culture, activation, …

Transmembrane Domain-Driven Pd-1 Dimers Mediate T Cell Inhibition, Elliot A Philips, Jia Liu, Audun Kvalvaag, Alexander M Mørch, Anna S Tocheva, Charles Ng, Hong Liang, Ian M Ahearn, Ruimin Pan, Christina C Luo, Alexander Leithner, Zhihua Qin, Yong Zhou, Antonio Garcia-España, Adam Mor, Dan R Littman, Michael L Dustin, Jun Wang, Xiang-Peng Kong

Faculty, Staff and Student Publications

Programmed cell death-1 (PD-1) is a potent immune checkpoint receptor on T lymphocytes. Upon engagement by its ligands, PD-L1 or PD-L2, PD-1 inhibits T cell activation and can promote immune tolerance. Antagonism of PD-1 signaling has proven effective in cancer immunotherapy, and conversely, agonists of the receptor may have a role in treating autoimmune disease. Some immune receptors function as dimers, but PD-1 has been considered monomeric. Here, we show that PD-1 and its ligands form dimers as a consequence of transmembrane domain interactions and that propensity for dimerization correlates with the ability of PD-1 to inhibit immune responses, antitumor …