Digital Commons Network^™

Therapeutic Alliance In A Culturally Tailored Transition Program For Latino Young Adults With Autism And Their Families, Antonio F Pagán, Katherine A Loveland, Ron Acierno

Faculty, Staff and Student Publications

Latino young adults with autism spectrum disorder (ASD) often face barriers to accessing culturally appropriate interventions that support adaptive functioning and family dynamics. Therapeutic alliance, the collaborative and trusting relationship between participants and providers, is a critical component of intervention success, yet its role in culturally tailored programs for Latino families remains underexplored. The present study examined therapeutic alliance in ¡Iniciando! la Adultez, a 12-week, culturally adapted intervention for Latino young adults with ASD and their Spanish-speaking parents. The program integrates Latino cultural values and language and consists of parent group therapy, young adult group therapy, and individual therapy sessions. …

Digital Otoscopy With Computer-Aided Composite Image Generation: Impact On The Correct Diagnosis, Confidence, And Time, Seda Camalan, Carl D Langefeld, Amy Zinnia, Brigham Mckee, Matthew L Carlson, Nicholas L Deep, Michael S Harris, Taha A Jan, Vivian F Kaul, Nathan R Lindquist, Jameson K Mattingly, Jay Shah, Kevin Y Zhan, Metin N Gurcan, Aaron C Moberly

Faculty, Staff and Student Publications

Objective: This study investigated the comparative performance of ear, nose, and throat (ENT) physicians in correctly detecting ear abnormalities when reviewing digital otoscopy imaging using 3 different visualization methods, including computer-assisted composite images called "SelectStitch," single video frame "Still" images, and video clips. The study also explored clinicians' diagnostic confidence levels and the time to make a diagnosis.

Study design: Clinician diagnostic reader study.

Setting: Online diagnostic survey of ENT physicians.

Methods: Nine ENT physicians reviewed digital otoscopy examinations from 86 ears with various diagnoses (normal, perforation, retraction, middle ear effusion, tympanosclerosis). Otoscopy examinations used artificial-intelligence (AI)-based computer-aided composite image …

Head-To-Head Comparison Of Aptamer- And Antibody-Based Proteomic Platforms In Human Cerebrospinal Fluid Samples From A Real-World Memory Clinic Cohort, Raquel Puerta, Amanda Cano, Pablo García-González, Fernando García-Gutiérrez, Maria Capdevila, Itziar De Rojas, Clàudia Olivé, Josep Blázquez-Folch, Oscar Sotolongo-Grau, Andrea Miguel, Laura Montrreal, Pamela Martino-Adami, Asif Khan, Adelina Orellana, Yun Ju Sung, Ruth Frikke-Schmidt, Natalie Marchant, Jean Charles Lambert, Maitée Rosende-Roca, Montserrat Alegret, Maria Victoria Fernández, Marta Marquié, Sergi Valero, Lluís Tárraga, Carlos Cruchaga, Alfredo Ramírez, Mercè Boada, Bart Smets, Alfredo Cabrera-Socorro, Agustín Ruiz

Faculty, Staff and Student Publications

High-throughput proteomic platforms are crucial to identify novel Alzheimer’s disease (AD) biomarkers and pathways. In this study, we evaluated the reproducibility and reliability of aptamer-based (SomaScan® 7k) and antibody-based (Olink® Explore 3k) proteomic platforms in cerebrospinal fluid (CSF) samples from the Ace Alzheimer Center Barcelona real-world cohort. Intra- and inter-platform reproducibility were evaluated through correlations between two independent SomaScan® assays analyzing the same samples, and between SomaScan® and Olink® results. Association analyses were performed between proteomic measures, CSF biological traits, sample demographics, and AD endophenotypes. Our 12-category metric of reproducibility combining correlation analyses identified 2428 highly reproducible SomaScan CSF measures, …

Dynamic And Concordance-Assisted Learning For Risk Stratification With Application To Alzheimer’S Disease, Wen Li, Ruosha Li, Ziding Feng, Jing Ning

Faculty, Staff and Student Publications

Dynamic prediction models capable of retaining accuracy by evolving over time could play a significant role for monitoring disease progression in clinical practice. In biomedical studies with long-term follow up, participants are often monitored through periodic clinical visits with repeat measurements until an occurrence of the event of interest (e.g. disease onset) or the study end. Acknowledging the dynamic nature of disease risk and clinical information contained in the longitudinal markers, we propose an innovative concordance-assisted learning algorithm to derive a real-time risk stratification score. The proposed approach bypasses the need to fit regression models, such as joint models of …

A Bayesian Pharmacokinetics Integrated Phase I-Ii Design To Optimize Dose-Schedule Regimes, Mengyi Lu, Ying Yuan, Suyu Liu

Faculty, Staff and Student Publications

The schedule of administering a drug has profound impact on the toxicity and efficacy profiles of the drug through changing its pharmacokinetics (PK). PK is an innate and indispensable component of the dose-schedule optimization. Motivated by this, we propose a Bayesian PK integrated dose-schedule finding (PKIDS) design to identify the optimal dose-schedule regime by integrating PK, toxicity, and efficacy data. Based on the causal pathway that dose and schedule affect PK, which in turn affects efficacy and toxicity, we jointly model the three endpoints by first specifying a Bayesian hierarchical model for the marginal distribution of the longitudinal dose-concentration process. …

Implications Of Myocardial Strain In Primary Mitral Regurgitation-A Cardiovascular Magnetic Resonance Study, Simone Romano, Danai Kitkungvan, Duc T Nguyen, Carlos El-Tallawi, Edward A Graviss, Afshin Farzaneh-Far, Dipan J Shah

Faculty, Staff and Student Publications

Aims: Chronic primary mitral regurgitation (MR) results in progressive left ventricular (LV) remodelling. Abnormal myocardial deformation (strain) can be present despite preserved ejection fraction (EF). Cardiovascular magnetic resonance (CMR) feature-tracking techniques allow assessment of global longitudinal strain (GLS) from routine cine images. The aim of this study is to evaluate the prognostic value of CMR feature tracking-derived GLS in patients with primary MR.

Methods and results: Consecutive patients undergoing CMR for chronic MR from January 2012 to June 2018 were enrolled. Patients with LVEF < 50% were excluded. The composite primary outcome aiming to detect decompensation related to MR comprised (i) referral for mitral surgery owing to symptoms or LV systolic dysfunction or (ii) cardiovascular death. The secondary outcome was all-cause death. A total of 422 patients were followed for a median of 2.7 years, and the primary endpoint was met in 93 patients (34 patients reported symptoms at baseline). At multivariable analysis, GLS≥ -16.6% was associated with primary outcome [hazard ratio (HR) 1.90, P = 0.01]. In moderate MR cohort, patients with GLS≥ -16.6% had worse event-free survival, whereas there was no significant difference in mild or severe MR groups. GLS≥ -16.0% remained associated with all-cause death after adjusting for other covariates including the MR severity (HR 2.24, P = 0.02).

Conclusion: In patients with primary MR with preserved systolic function, GLS was associated with our composite …

Bayesian Nonparametric Model For Heterogeneous Treatment Effects With Zero-Inflated Data, Chanmin Kim, Yisheng Li, Ting Xu, Zhongxing Liao

Faculty, Staff and Student Publications

One goal of precision medicine is to develop effective treatments for patients by tailoring to their individual demographic, clinical, and/or genetic characteristics. To achieve this goal, statistical models must be developed that can identify and evaluate potentially heterogeneous treatment effects in a robust manner. The oft-cited existing methods for assessing treatment effect heterogeneity are based upon parametric models with interactions or conditioning on covariate values, the performance of which is sensitive to the omission of important covariates and/or the choice of their values. We propose a new Bayesian nonparametric (BNP) method for estimating heterogeneous causal effects in studies with zero-inflated …

High Peripheral T Cell Diversity Is Associated With Lower Risk Of Toxicity And Superior Response To Dual Immune Checkpoint Inhibitor Therapy In Patients With Metastatic Nsclc, Mehmet Altan, Ruoxing Li, Ziyi Li, Runzhe Chen, Ajay Sheshadri, Hai T Tran, Latasha Little, Joshua Baguley, Jefferson Sinson, Natalie Vokes, Saumil Gandhi, Mara B Antonoff, Stephen G Swisher, Greg Lizee, Alexandre Reuben, John V Heymach, Jianjun Zhang

Faculty, Staff and Student Publications

INTRODUCTION: Despite significant successes, immune checkpoint blockade fails to achieve clinical responses in a significant proportion of patients, predictive markers for responses are imperfect and immune-related adverse events (irAEs) are unpredictable. We used T-cell receptor (TCR) sequencing to systematically analyze prospectively collected patient blood samples from a randomized clinical trial of dual immune checkpoint inhibitor therapy to evaluate changes in the T-cell repertoire and their association with response and irAEs.

METHODS: Patients with immunotherapy-naïve metastatic non-small cell lung cancer (NSCLC) were treated with ipilimumab and nivolumab according to trial protocol (LONESTAR, NCT03391869). Blood samples were systematically obtained at baseline (n=107), …

Loss Of Chop Prevents Joint Degeneration And Pain In A Mouse Model Of Pseudoachondroplasia, Jacqueline T Hecht, Alka C Veerisetty, Mohammad G Hossain, Debabrata Patra, Michele Carrer, Frankie Chiu, Dorde Relic, Paymaan Jafar-Nejad, Karen L Posey

Faculty, Staff and Student Publications

Pseudoachondroplasia (PSACH), a severe dwarfing condition characterized by impaired skeletal growth and early joint degeneration, results from mutations in cartilage oligomeric matrix protein (COMP). These mutations disrupt normal protein folding, leading to the accumulation of misfolded COMP in chondrocytes. The MT-COMP mouse is a murine model of PSACH that expresses D469del human COMP in response to doxycycline and replicates the PSACH chondrocyte and clinical pathology. The basis for the mutant-COMP pathology involves endoplasmic reticulum (ER) stress signaling through the PERK/eIF2α/CHOP pathway. C/EBP homologous protein (CHOP), in conjunction with a TNFα inflammatory process, upregulates mTORC1, hindering autophagy clearance of mutant COMP …

Protocol For Monitoring Clonal Hematopoiesis In Transgenic Mouse Models Using Multispectral Imaging, Priyanka Khanna, Lauren B Ostermann, Shayaun Khazaei, Ran Zhao, Michael Andreeff, Rasoul Pourebrahim

Faculty, Staff and Student Publications

Clonal hematopoiesis involves the clonal expansion of hematopoietic cells, potentially progressing into hematological malignancies. Here, we present a protocol for the development and characterization of two mouse models designed to simulate clonal hematopoiesis and acute myeloid leukemia. We describe steps for model generation, monitoring clonal expansion, harvesting, fixation, and staining of bone marrow and spleen tissues. We specifically focus on the visualization and analysis of p53 mutant clonal expansions, providing a comprehensive protocol for studying these phenomena in mouse models. For complete details on the use and execution of this protocol, please refer to Pourebrahim et al.

Author Correction: Single-Cell And Spatial Proteo-Transcriptomic Profiling Reveals Immune Infiltration Heterogeneity Associated With Neuroendocrine Features In Small Cell Lung Cancer, Ying Jin, Yuefeng Wu, Alexandre Reuben, Liang Zhu, Carl M Gay, Qingzhe Wu, Xintong Zhou, Haomin Mo, Qi Zheng, Junyu Ren, Zhaoyuan Fang, Teng Peng, Nan Wang, Liang Ma, Lungevity Panshi Initiative Consortium, Yun Fan, Hai Song, Jianjun Zhang, Ming Chen

Faculty, Staff and Student Publications

No abstract provided.

The Proteomics Of T-Cell And Early T-Cell Precursor (Etp) Acute Lymphocytic Leukemia: Prognostic Patterns In Adult And Pediatric-Etp All, Fieke W Hoff, Lourdes Sriraja, Yihua Qiu, Gaye N Jenkins, David T Teachey, Brent Wood, Meenakshi Devidas, Shaina Shockley, Mignon L Loh, Evangelia Petsalaki, Steven M Kornblau, Terzah M Horton

Faculty, Staff and Student Publications

Background: The 5-year overall survival (OS) rates of T-cell lymphocytic leukemia (T-ALL) are better for children (>90%) compared to adults (~57%). The early T-cell precursor (ETP) T-ALL subtype is prognostically unfavorable in adults, but less significant in pediatric T-ALL, and the diagnosis and prognosis of "near"-ETP is controversial. We compared protein and RNA expression patterns in pediatric and adult T-ALL to identify prognostic subgroups, and to further characterize ETP and near-ETP T-ALL in both age groups.

Methods: Protein expression was assessed using RPPA methodology for 321 target proteins in 361 T-ALL patient samples from 292 pediatrics and 69 adults, …

Transcriptomic Clustering Of Chronic Lymphocytic Leukemia: Molecular Subtypes Based On Bruton’S Tyrosine Kinase Expression Levels, Gorkem Kismali, Ganiraju Manyam, Nitin Jain, Cristina Ivan, Betty Lamothe, Mary L Ayres, Lakesla R Iles, William G Wierda, Varsha Gandhi

Faculty, Staff and Student Publications

Historically, CLL prognostication relied on disease burden, reflected in clinical stage. Later, chromosome abnormalities and genomics suggested several CLL subtypes which were aligned with response to therapy. Gene expression profiling data identified pathways associated with CLL progression. We hypothesized that transcriptome and proteome may identify functional omics associated with CLL nosology. As a test cohort, we utilized publicly available treatment-naïve CLL transcriptomics data (n = 130) and did consensus clustering that identified BTK-expression-based clusters. The BTK-High and BTK-Low clusters were validated in public and our in-house databases (n = >550 CLL patients). To associate with functional relevance, we took samples …

Comparison Of Vendor-Pretrained And Custom-Trained Deep Learning Segmentation Models For Head-And-Neck, Breast, And Prostate Cancers, Xinru Chen, Yao Zhao, Hana Baroudi, Mohammad D El Basha, Aji Daniel, Skylar S Gay, Cenji Yu, He Wang, Jack Phan, Seungtaek L Choi, Chelain R Goodman, Xiaodong Zhang, Joshua S Niedzielski, Sanjay S Shete, Laurence E Court, Zhongxing Liao, Fredrik Löfman, Peter A Balter, Jinzhong Yang

Faculty, Staff and Student Publications

Background/objectives: We assessed the influence of local patients and clinical characteristics on the performance of commercial deep learning (DL) segmentation models for head-and-neck (HN), breast, and prostate cancers.

Methods: Clinical computed tomography (CT) scans and clinically approved contours of 210 patients (53 HN, 49 left breast, 55 right breast, and 53 prostate cancer) were used to train and validate segmentation models integrated within a vendor-supplied DL training toolkit and to assess the performance of both vendor-pretrained and custom-trained models. Four custom models (HN, left breast, right breast, and prostate) were trained and validated with 30 (training)/5 (validation) HN, 34/5 left …

Characterization Of An Inorganic Powder-Based Scintillation Detector Under A Uhdr Electron Beam, Daline Tho, Sam Beddar

Faculty, Staff and Student Publications

(1) Background: Ultra-high dose rate (UHDR) radiation therapy needs a reliable dosimetry solution and scintillation detectors are promising candidates. In this study, we characterized an inorganic powder-based scintillation detector under a 9 MeV UHDR electron beam. (2) Methods: A mixture of ZnS:Ag powder and optic glue was coupled to an 8 m Eska GH-4001-P polymethyl methacrylate (PMMA) optical fiber. We evaluated the dependence of the detector on dose per pulse (DPP), pulse repetition frequency (PRF), and pulse width (PW). Additionally, we determined the stability and the reproducibility of the detector. (3) Results: The signal ratio between the PMMA clear optical …

Characterization Of An Inorganic Powder-Based Scintillation Detector Under A Uhdr Electron Beam, Daline Tho, Sam Beddar

Faculty, Staff and Student Publications

Background: Ultra-high dose rate (UHDR) radiation therapy needs a reliable dosimetry solution and scintillation detectors are promising candidates. In this study, we characterized an inorganic powder-based scintillation detector under a 9 MeV UHDR electron beam.

Methods: A mixture of ZnS:Ag powder and optic glue was coupled to an 8 m Eska GH-4001-P polymethyl methacrylate (PMMA) optical fiber. We evaluated the dependence of the detector on dose per pulse (DPP), pulse repetition frequency (PRF), and pulse width (PW). Additionally, we determined the stability and the reproducibility of the detector.

Results: The signal ratio between the PMMA clear optical fiber and the …

The Microrna Mir-223 Constrains Colitis-Associated Tumorigenesis By Limiting Myeloid Cell Infiltration And Chemokine Expression, Ciara L Flynn, Gary E Markey, Viola Neudecker, Charlotte Farrelly, Glenn T Furuta, Holger K Eltzschig, Joanne C Masterson, Eóin N Mcnamee

Faculty, Staff and Student Publications

Aberrant intestinal inflammation plays a critical role in the development of colitis-associated colorectal cancer (CAC), yet the mechanisms controlling tumor development by the myeloid immune compartment are not fully understood. Although altered microRNA expression is observed in CAC, it is also unclear how myeloid-specific microRNAs impact the inflammatory process that underpins the continuum from ulcerative colitis to tumorigenesis. In this study, we report that miR-223 acts to limit myeloid-driven inflammation in the azoxymethane (AOM)-dextran sodium sulfate (DSS) model of CAC in mice. In this model, miR-223-/y mice present with significantly larger tumors with an enhanced proliferative signature. Immunoprofiling showed that …

Mexican Health And Aging Study Biomarker And Genetic Data Profile, Rafael Samper-Ternent, Jesús Daniel Zazueta-Borboa, Alejandra Michaels-Obregon, Dolly Reyes-Dumeyer, Sandra Barral, Giuseppe Tosto, Rebeca Wong

Faculty, Staff and Student Publications

The Mexican Health and Aging Study (MHAS) is one of the largest ongoing longitudinal studies of aging in Latin America, with six waves over 20 years. MHAS includes sociodemographic, economic, and health data from a nationally representative sample of adults 50 years and older in urban and rural Mexico. MHAS is designed to study the impact of diseases on adults' health, function, and mortality. As Mexico is experiencing rapid population aging, providing adequate information to study this phenomenon is vital for designing and implementing public policies. The availability of biomarker and genetic data and longitudinal survey data elevates opportunities for …

Nomenclature For Human And Animal Fungal Pathogens And Diseases: A Proposal For Standardized Terminology, Sybren De Hoog, Thomas J Walsh, Sarah A Ahmed, Ana Alastruey-Izquierdo, Maiken Cavling Arendrup, Andrew Borman, Sharon Chen, Anuradha Chowdhary, Robert C Colgrove, Oliver A Cornely, David W Denning, Philippe J Dufresne, Laura Filkins, Jean-Pierre Gangneux, Josepa Gené, Andreas H Groll, Jaques Guillot, Gerhard Haase, Catriona Halliday, David L Hawksworth, Roderick Hay, Martin Hoenigl, Vit Hubka, Tomasz Jagielski, Hazal Kandemir, Sarah E Kidd, Julianne V Kus, June Kwon-Chung, Shawn R Lockhart, Jacques F Meis, Leonel Mendoza, Wieland Meyer, M Hong Nguyen, Yinggai Song, Tania C Sorrell, J Benjamin Stielow, Rachel Vilela, Roxana G Vitale, Nancy L Wengenack, P Lewis White, Luis Ostrosky-Zeichner, Sean X Zhang

Faculty, Staff and Student Publications

Medically important pathogenic fungi invade vertebrate tissue and are considered primary when part of their nature life cycle is associated with an animal host and are usually able to infect immunocompetent hosts. Opportunistic fungal pathogens complete their life cycle in environmental habitats or occur as commensals within or on the vertebrate body, but under certain conditions can thrive upon infecting humans. The extent of host damage in opportunistic infections largely depends on the portal and modality of entry as well as on the host's immune and metabolic status. Diseases caused by primary pathogens and common opportunists, causing the top approximately …

An Empirical Model Of Carbon-Ion Relative Biological Effectiveness Based On The Linear Correlation Between Radiosensitivity To Photons And Carbon Ions, David B Flint, Scott J Bright, Conor Mcfadden, Teruaki Konishi, David K J Martinus, Mandira Manandhar, Mariam Ben Kacem, Lawrence Bronk, Gabriel O Sawakuchi

Faculty, Staff and Student Publications

Objective.To develop an empirical model to predict carbon ion (C-ion) relative biological effectiveness (RBE).Approach.We used published cell survival data comprising 360 cell line/energy combinations to characterize the linear energy transfer (LET) dependence of cell radiosensitivity parameters describing the dose required to achieve a given survival level, e.g. 5% (D5%), which are linearly correlated between photon and C-ion radiations. Based on the LET response of the metrics D5%and D37%, we constructed a model containing four free parameters that predicts cells' linear quadratic model (LQM) survival curve parameters for C-ions,αCandβC, from the reference LQM parameters …

Automated Segmentation Of Mri White Matter Hyperintensities In 8421 Patients With Acute Ischemic Stroke, Hosung Kim, Wi-Sun Ryu, Dawid Schellingerhout, Jonghyeok Park, Jinyong Chung, Sang-Wuk Jeong, Dong-Seok Gwak, Beom Joon Kim, Joon-Tae Kim, Keun-Sik Hong, Kyung Bok Lee, Tai Hwan Park, Jong-Moo Park, Kyusik Kang, Yong-Jin Cho, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Man Seok Park, Hee-Joon Bae, Dong-Eog Kim

Faculty, Staff and Student Publications

Background and purpose: To date, only a few small studies have attempted deep learning-based automatic segmentation of white matter hyperintensity (WMH) lesions in patients with cerebral infarction; this issue is complicated because stroke-related lesions can obscure WMH borders. We developed and validated deep learning algorithms to segment WMH lesions accurately in patients with cerebral infarction using multisite data sets involving 8421 patients with acute ischemic stroke.

Materials and methods: We included 8421 patients with stroke from 9 centers in Korea. 2D UNet and squeeze-and-excitation (SE)-UNet models were trained using 2408 FLAIR MRIs from 3 hospitals and validated using 6013 FLAIR …

Effect Of School Hpv Vaccination Requirements On Pediatricians' Recommendations, Ashley Hedrick Mckenzie, Lara S Savas, Ross Shegog, Dale S Mantey, Erica L Frost, Paul Gerardo Yeh, C Mary Healy, Stanley Spinner, L Aubree Shay, Sharice M Preston, Sally W Vernon

Faculty, Staff and Student Publications

Background/objectives: Pediatrician recommendations are highly influential in parents’ decisions to vaccinate their children against HPV. Unqualified, presumptive, and bundled recommendations (UPBRs) are associated with increased HPV vaccine uptake and are considered best practice. This study analyzes pediatricians’ self-reported data to assess changes in UPBR use and the psychosocial determinants of UPBR use as a result of the implementation of a multi-level intervention, the Adolescent Vaccination Program (AVP).

Methods: We surveyed pediatricians across 51 clinics in the Houston area. Baseline surveys (n = 137) were distributed in 2015, and follow-ups (n = 120) in 2019.

Results: Pediatrician UPBR use …

Integrative Multi-Omics Analysis Uncovers Tumor-Immune-Gut Axis Influencing Immunotherapy Outcomes In Ovarian Cancer, Spencer R Rosario, Mark D Long, Shanmuga Chilakapati, Eduardo Cortes Gomez, Sebastiano Battaglia, Prashant K Singh, Jianmin Wang, Katy Wang, Kristopher Attwood, Suzanne M Hess, A J Robert Mcgray, Kunle Odunsi, Brahm H Segal, Gyorgy Paragh, Song Liu, Jennifer A Wargo, Emese Zsiros

Faculty, Staff and Student Publications

Recurrent ovarian cancer patients, especially those resistant to platinum, lack effective curative treatments. To address this, we conducted a phase 2 clinical trial (NCT02853318) combining pembrolizumab with bevacizumab, to increase T cell infiltration into the tumor, and oral cyclophosphamide, to reduce the number of regulatory T cells. The trial accrued 40 heavily pretreated recurrent ovarian cancer patients. The primary endpoint, progression free survival, was extended to a median of 10.2 months. The secondary endpoints demonstrated an objective response rate of 47.5%, and disease control in 30% of patients for over a year while maintaining a good quality of life. We …

Liar-Dependent Gene Expression Contributes To Antimicrobial Responses In Group A, Luis Alberto Vega, Misú Sanson-Iglesias, Piyali Mukherjee, Kyle D Buchan, Gretchen Morrison, Anne E Hohlt, Anthony R Flores

Faculty, Staff and Student Publications

The ability to sense and respond to host defenses is essential for pathogen survival. Some mechanisms involve two-component systems (TCSs) that respond to host molecules, such as antimicrobial peptides (AMPs), and activate specific gene regulatory pathways to aid in survival. Alongside TCSs, bacteria coordinate cell division proteins, chaperones, cell wall sortases, and secretory translocons at discrete locations within the cytoplasmic membrane, referred to as functional membrane microdomains (FMMs). In group A Streptococcus (GAS), the FMM or “ExPortal” coordinates protein secretion, cell wall synthesis, and sensing of AMP-mediated cell envelope stress via the LiaFSR three-component system. Previously, we showed that GAS …

Immune Landscape Of Isocitrate Dehydrogenase-Stratified Primary And Recurrent Human Gliomas, Pravesh Gupta, Minghao Dang, Shivangi Oberai, Simona Migliozzi, Rakesh Trivedi, Gayatri Kumar, Mekenzie Peshoff, Nancy Milam, Aml Ahmed, Krishna Bojja, Tuan M Tran, Joy Gumin, Carlos Kamiya-Matsuoka, Jason Huse, Kathryn Cox, Jianzhuo Li, Huma Shehwana, Sameer A Sheth, Rodriguez Saxon, Sun Baohua, Brittany Parker Kerrigan, Atul Maheshwari, Edwin Roger Parra Cuentas, Nicholas E Navin, Amy B Heimberger, Frederick F Lang, Antonio Iavarone, Karen Clise-Dwyer, Linghua Wang, Krishna P Bhat

Faculty, Staff and Student Publications

Background: Human gliomas are classified using isocitrate dehydrogenase (IDH) status as a prognosticator; however, the influence of genetic differences and treatment effects on ensuing immunity remains unclear.

Methods: In this study, we used sequential single-cell transcriptomics on 144 678 and spectral cytometry on over 2 million immune cells encompassing 48 human gliomas to decipher their immune landscape.

Results: We identified 22 distinct immune cell types that contribute to glioma immunity. Specifically, brain-resident microglia (MG) were reduced with a concomitant increase in CD8+ T lymphocytes during glioma recurrence independent of IDH status. In contrast, IDH-wild type-associated patterns, such as an abundance …

Functional Connectivity Biomarker Extraction For Schizophrenia Based On Energy Landscape Machine Learning Techniques, Janerra D Allen, Sravani Varanasi, Fei Han, L Elliot Hong, Fow-Sen Choa

Faculty, Staff and Student Publications

Brain connectivity represents the functional organization of the brain, which is an important indicator for evaluating neuropsychiatric disorders and treatment effects. Schizophrenia is associated with impaired functional connectivity but characterizing the complex abnormality patterns has been challenging. In this work, we used resting-state functional magnetic resonance imaging (fMRI) data to measure functional connectivity between 55 schizophrenia patients and 63 healthy controls across 246 regions of interest (ROIs) and extracted the disease-related connectivity patterns using energy landscape (EL) analysis. EL analysis captures the complexity of brain function in schizophrenia by focusing on functional brain state stability and region-specific dynamics. Age, sex, …

Correction: Nepali Oral Microbiomes Reflect A Gradient Of Lifestyles From Traditional To Industrialized, Erica P Ryu, Yoshina Gautam, Diana M Proctor, Dinesh Bhandari, Sarmila Tandukar, Meera Gupta, Guru Prasad Gautam, David A Relman, Ahmed A Shibl, Jeevan Bahadur Sherchand, Aashish R Jha, Emily R Davenport

Faculty, Staff and Student Publications

No abstract provided.

Biomechanics And Clinical Implications Of Fontan Upsizing, Vijay Govindarajan, Akshita Sahni, Emily Eickhoff, Peter Hammer, David M Hoganson, Rahul H Rathod, Pedro J Del Nido

Faculty, Staff and Student Publications

Background: The Fontan operation, a palliative procedure for single ventricle patients, has evolved to improve outcomes and reduce complications. While extracardiac conduit (ECC) is favored for its simplicity and potential hemodynamic benefits, concerns arise about conduit size adequacy over time. Undersized ECC conduits may cause hemodynamic inefficiencies and long-term complications, while oversizing can lead to flow disturbances, stagnation, and thrombosis, necessitating surgical revision or upsizing to optimize hemodynamics.

Objectives: The study aimed to predict the impact of upsizing by developing a patient-specific workflow using cardiac magnetic resonance-based imaging and computational fluid dynamics to assess Fontan hemodynamic changes and determine the …

Biological Validation Of Peak-Width Of Skeletonized Mean Diffusivity As A Vcid Biomarker: The Markvcid Consortium, Alison M Luckey, Saptaparni Ghosh, Chen-Pin Wang, Alexa Beiser, Rebecca Bernal, Zhiguang Li, Djass Mbangdadji, Elyas Fadaee, Haykel Snoussi, Angel Gabriel Velarde Dediós, Hector A Trevino, Monica Goss, Laura J Hillmer, Christopher E Bauer, Adam M Staffaroni, Lara Stables, Marilyn Albert, Jayandra J Himali, Thomas H Mosley, Lars Forsberg, Vilmundur Guðnason, Baljeet Singh, Herpreet Singh, Kristin Schwab, Joel H Kramer, Gary A Rosenberg, Karl G Helmer, Steven M Greenberg, Mohamad Habes, Danny J J Wang, Brian T Gold, Hanzhang Lu, Arvind Caprihan, Myriam Fornage, Lenore J Launer, Konstantinos Arfanakis, Sudha Seshadri, Charles Decarli, Pauline Maillard, Claudia L Satizabal

Faculty, Staff and Student Publications

BACKGROUND: Peak-width of skeletonized mean diffusivity (PSMD), a neuroimaging marker of cerebral small vessel disease (SVD), has shown excellent instrumental properties. Here, we extend our work to perform a biological validation of PSMD.

METHODS: We included 396 participants from the Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia (MarkVCID-1) Consortium and three replication samples (Cohorts for Heart and Aging Research in Genomic Epidemiology = 6172, Rush University Medical Center = 287, University of California Davis Alzheimer's Disease Research Center = 567). PSMD was derived from diffusion tensor imaging using an automated algorithm. We related PSMD to a composite measure …

Genetic Architecture Of Cerebrospinal Fluid And Brain Metabolite Levels And The Genetic Colocalization Of Metabolites With Human Traits, Ciyang Wang, Chengran Yang, Daniel Western, Muhammad Ali, Yueyao Wang, Chia-Ling Phuah, John Budde, Lihua Wang, Priyanka Gorijala, Jigyasha Timsina, Agustin Ruiz, Pau Pastor, Maria Victoria Fernandez, Dominantly Inherited Alzheimer Network (Dian), Alzheimer’S Disease Neuroimaging Initiative (Adni), Daniel J Panyard, Corinne D Engelman, Yuetiva Deming, Merce Boada, Amanda Cano, Pablo Garcia-Gonzalez, Neill R Graff-Radford, Hiroshi Mori, Jae-Hong Lee, Richard J Perrin, Laura Ibanez, Yun Ju Sung, Carlos Cruchaga

Faculty, Staff and Student Publications

Brain metabolism perturbation can contribute to traits and diseases. We conducted a genome-wide association study for cerebrospinal fluid (CSF) and brain metabolite levels, identifying 205 independent associations (47.3% new signals, containing 11 new loci) for 139 CSF metabolites, and 32 independent associations (43.8% new signals, containing 4 new loci) for 31 brain metabolites. Of these, 96.9% (CSF) and 71.4% (brain) of the new signals belonged to previously analyzed metabolites in blood or urine. We integrated the metabolite quantitative trait loci (MQTLs) with 23 neurological, psychiatric and common human traits and diseases through colocalization to identify metabolites and biological processes implicated …