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Articles 2281 - 2310 of 8852
Full-Text Articles in Entire DC Network
Substitution Of A Single Non-Coding Nucleotide Upstream Of Tmem216 Causes Non-Syndromic Retinitis Pigmentosa And Is Associated With Reduced Tmem216 Expression, Samantha Malka, Pooja Biswas, Anne-Marie Berry, Riccardo Sangermano, Mukhtar Ullah, Siying Lin, Matteo D'Antonio, Aleksandr Jestin, Xiaodong Jiao, Mathieu Quinodoz, Lori Sullivan, Jessica C Gardner, Emily M Place, Michel Michaelides, Karolina Kaminska, Omar A Mahroo, Elena Schiff, Genevieve Wright, Francesca Cancellieri, Veronika Vaclavik, Cristina Santos, Atta Ur Rehman, Sudeep Mehrotra, Hafiz Muhammad Azhar Baig, Muhammad Iqbal, Muhammad Ansar, Luisa Coutinho Santos, Ana Berta Sousa, Viet H Tran, Hiroko Matsui, Anjana Bhatia, Muhammad Asif Naeem, Shehla J Akram, Javed Akram, Sheikh Riazuddin, Carmen Ayuso, Eric A Pierce, Alison J Hardcastle, S Amer Riazuddin, Kelly A Frazer, J Fielding Hejtmancik, Carlo Rivolta, Kinga M Bujakowska, Gavin Arno, Andrew R Webster, Radha Ayyagari
Substitution Of A Single Non-Coding Nucleotide Upstream Of Tmem216 Causes Non-Syndromic Retinitis Pigmentosa And Is Associated With Reduced Tmem216 Expression, Samantha Malka, Pooja Biswas, Anne-Marie Berry, Riccardo Sangermano, Mukhtar Ullah, Siying Lin, Matteo D'Antonio, Aleksandr Jestin, Xiaodong Jiao, Mathieu Quinodoz, Lori Sullivan, Jessica C Gardner, Emily M Place, Michel Michaelides, Karolina Kaminska, Omar A Mahroo, Elena Schiff, Genevieve Wright, Francesca Cancellieri, Veronika Vaclavik, Cristina Santos, Atta Ur Rehman, Sudeep Mehrotra, Hafiz Muhammad Azhar Baig, Muhammad Iqbal, Muhammad Ansar, Luisa Coutinho Santos, Ana Berta Sousa, Viet H Tran, Hiroko Matsui, Anjana Bhatia, Muhammad Asif Naeem, Shehla J Akram, Javed Akram, Sheikh Riazuddin, Carmen Ayuso, Eric A Pierce, Alison J Hardcastle, S Amer Riazuddin, Kelly A Frazer, J Fielding Hejtmancik, Carlo Rivolta, Kinga M Bujakowska, Gavin Arno, Andrew R Webster, Radha Ayyagari
Faculty, Staff and Student Publications
Genome analysis of individuals affected by retinitis pigmentosa (RP) identified two rare nucleotide substitutions at the same genomic location on chromosome 11 (g.61392563 [GRCh38]), 69 base pairs upstream of the start codon of the ciliopathy gene TMEM216 (c.-69G>A, c.-69G>T [GenBank: NM_001173991.3]), in individuals of South Asian and African ancestry, respectively. Genotypes included 71 homozygotes and 3 mixed heterozygotes in trans with a predicted loss-of-function allele. Haplotype analysis showed single-nucleotide variants (SNVs) common across families, suggesting ancestral alleles within the two distinct ethnic populations. Clinical phenotype analysis of 62 available individuals from 49 families indicated a similar clinical presentation …
Targeting Igf2 To Reprogram The Tumor Microenvironment For Enhanced Viro-Immunotherapy, Min Hye Noh, Jin Muk Kang, Alexandra A Miller, Grace Nguyen, Minxin Huang, Ji Seon Shim, Alberto J Bueso-Perez, Sara A Murphy, Kimberly A Rivera-Caraballo, Yoshihiro Otani, Eunju Kim, Seung-Hee Yoo, Yuanqing Yan, Yeshavanth Banasavadi-Siddegowda, Hiroshi Nakashima, E Antonio Chiocca, Balveen Kaur, Zhongming Zhao, Tae Jin Lee, Ji Young Yoo
Targeting Igf2 To Reprogram The Tumor Microenvironment For Enhanced Viro-Immunotherapy, Min Hye Noh, Jin Muk Kang, Alexandra A Miller, Grace Nguyen, Minxin Huang, Ji Seon Shim, Alberto J Bueso-Perez, Sara A Murphy, Kimberly A Rivera-Caraballo, Yoshihiro Otani, Eunju Kim, Seung-Hee Yoo, Yuanqing Yan, Yeshavanth Banasavadi-Siddegowda, Hiroshi Nakashima, E Antonio Chiocca, Balveen Kaur, Zhongming Zhao, Tae Jin Lee, Ji Young Yoo
Faculty, Staff and Student Publications
BACKGROUND: The FDA approval of oncolytic herpes simplex-1 virus (oHSV) therapy underscores its therapeutic promise and safety as a cancer immunotherapy. Despite this promise, the current efficacy of oHSV is significantly limited to a small subset of patients largely due to the resistance in tumor and tumor microenvironment (TME).
METHODS: RNA sequencing (RNA-Seq) was used to identify molecular targets of oHSV resistance. Intracranial human and murine glioma or breast cancer brain metastasis (BCBM) tumor-bearing mouse models were employed to elucidate the mechanism underlying oHSV therapy-induced resistance.
RESULTS: Transcriptome analysis identified IGF2 as one of the top-secreted proteins following oHSV treatment. …
Physiological And Communicative Emotional Disconcordance In Children On The Autism Spectrum, Emma Finkel, Eric Sah, Mckenna Spaulding, John Herrington, Liza Tomczuk, Aaron Masino, Xueqin Pang, Anushua Bhattacharya, Darren Hedley, Yelena Kushleyeva, Phoebe Thomson, Natalie Doppelt, Jessica Tan, Jeffrey Pennington, Cheryl Dissanayake, Christopher Bonafide, Heather Nuske
Physiological And Communicative Emotional Disconcordance In Children On The Autism Spectrum, Emma Finkel, Eric Sah, Mckenna Spaulding, John Herrington, Liza Tomczuk, Aaron Masino, Xueqin Pang, Anushua Bhattacharya, Darren Hedley, Yelena Kushleyeva, Phoebe Thomson, Natalie Doppelt, Jessica Tan, Jeffrey Pennington, Cheryl Dissanayake, Christopher Bonafide, Heather Nuske
SKMC Student Presentations and Publications
BACKGROUND: Individuals on the autism spectrum commonly have differences from non-autistic people in expressing their emotions using communicative behaviors, such as facial expressions. However, it is not yet clear if this reduced expressivity stems from reduced physiological reactivity in emotional contexts or if individuals react internally, but do not show these reactions externally to others. We hypothesized that autism is characterized by a discordance between in-the-moment internal psychophysiological arousal and external communicative expressions of emotion.
METHODS: Forty-one children on the autism spectrum and 39 non-autistic, typically developing (TD) children of two age groups (2-4 and 8-12 years) participated in a …
Different Sensory Information Is Used For State Estimation When Stationary Or Moving., Aaron Wong, Alyssa Eyssalenne, Luke Carter, Amanda S Therrien
Different Sensory Information Is Used For State Estimation When Stationary Or Moving., Aaron Wong, Alyssa Eyssalenne, Luke Carter, Amanda S Therrien
Moss-Magee Rehabilitation Papers
The accurate estimation of limb state is necessary for movement planning and execution. While state estimation requires both feedforward and feedback information, we focus here on the latter. Prior literature has shown that integrating visual and proprioceptive feedback improves estimates of static limb position. However, differences in visual and proprioceptive feedback delays suggest that multisensory integration could be disadvantageous when the limb is moving. We formalized this hypothesis by modeling feedback-based state estimation using the long-standing maximum likelihood estimation model of multisensory integration, which we updated to account for sensory delays. Our model predicted that the benefit of multisensory integration …
The Prognostic Effect Of Infiltrating Immune Cells Is Shaped By Proximal M2 Macrophages In Lung Adenocarcinoma, Jian-Rong Li, Vikram Shaw, Yupei Lin, Xiang Wang, Muhammad Aminu, Yong Li, Jia Wu, Jianjun Zhang, Christopher I Amos, Chao Cheng
The Prognostic Effect Of Infiltrating Immune Cells Is Shaped By Proximal M2 Macrophages In Lung Adenocarcinoma, Jian-Rong Li, Vikram Shaw, Yupei Lin, Xiang Wang, Muhammad Aminu, Yong Li, Jia Wu, Jianjun Zhang, Christopher I Amos, Chao Cheng
Faculty, Staff and Students Publications
The spatial arrangement of immune cells within the tumor microenvironment (TME) and their interactions play critical roles in the initiation and development of cancer. Several advanced technologies such as imaging mass cytometry (IMC) providing the immunological landscape of the TME with single-cell resolution. In this study, we develop a new method to quantify the spatial proximity between different cell types based on single-cell spatial data. Using this method on IMC data from 416 lung adenocarcinoma patients, we show that the proximity between different cell types is more correlated with patient prognosis compared to the traditional features such immune cell density …
Racial And Ethnic Representation In Food Allergen Immunotherapy Trial Participants: A Systematic Review., Hannah Suffian, Aarti Pandya, Lauren Davidson, Vincent Staggs, Bridgette Jones
Racial And Ethnic Representation In Food Allergen Immunotherapy Trial Participants: A Systematic Review., Hannah Suffian, Aarti Pandya, Lauren Davidson, Vincent Staggs, Bridgette Jones
Manuscripts, Articles, Book Chapters and Other Papers
IMPORTANCE: The lack of inclusion of diverse population samples in food allergy immunotherapy clinical trials not only leads to decreased applicability to the general population in terms of results and treatments but can also be seen as a broader social injustice contributing to inequity within the health care system.
OBJECTIVES: To investigate the racial and ethnic distribution of participants included in food allergy immunotherapy clinical trials, and determine whether the racial and ethnic representation in trials accurately reflects the patients who experience food allergy.
EVIDENCE REVIEW: Data were collected from articles found on PubMed and ClinicalTrials.gov using key terms of …
Proteomic Correlates And Prognostic Significance Of Kidney Injury In Heart Failure With Preserved Ejection Fraction, Oday Salman, Ali Javaheri, Douglas L Mann, Et Al.
Proteomic Correlates And Prognostic Significance Of Kidney Injury In Heart Failure With Preserved Ejection Fraction, Oday Salman, Ali Javaheri, Douglas L Mann, Et Al.
2020-Current year OA Pubs
BACKGROUND: Kidney disease is common in heart failure with preserved ejection fraction (HFpEF). However, the biologic correlates and prognostic significance of kidney injury (KI), in HFpEF, beyond the estimated glomerular filtration rate (eGFR), are unclear.
METHODS AND RESULTS: Using baseline plasma samples from the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist) trial, we measured the following KI biomarkers: cystatin-C, fatty acid-binding protein-3, Beta-2 microglobulin, neutrophil gelatinase-associated lipocalin, and kidney-injury molecule-1. Factor analysis was used to extract the common variability underlying these biomarkers. We assessed the relationship between the KI-factor score and the risk of death …
Positive Airway Pressure, Mortality, And Cardiovascular Risk In Older Adults With Sleep Apnea, Diego R Mazzotti, Lemuel R Waitman, Jennifer Miller, Krishna M Sundar, Nancy H Stewart, David Gozal, Xing Song
Positive Airway Pressure, Mortality, And Cardiovascular Risk In Older Adults With Sleep Apnea, Diego R Mazzotti, Lemuel R Waitman, Jennifer Miller, Krishna M Sundar, Nancy H Stewart, David Gozal, Xing Song
Faculty, Staff and Student Publications
Importance: Positive airway pressure (PAP) is the first-line treatment for obstructive sleep apnea (OSA), but evidence on its beneficial effect on major adverse cardiovascular events (MACE) and mortality prevention is limited.
Objective: To determine whether PAP initiation and utilization are associated with lower mortality and incidence of MACE among older adults with OSA living in the central US.
Design, setting, and participants: This retrospective clinical cohort study included Medicare beneficiaries with 2 or more distinct OSA claims identified from multistate, statewide, multiyear (2011-2020) Medicare fee-for-service claims data. Individuals were followed up until death or censoring on December 31, 2020. Analyses …
Machine Learning To Enhance Electronic Detection Of Diagnostic Errors, Andrew J Zimolzak, Li Wei, Usman Mir, Ashish Gupta, Viralkumar Vaghani, Devika Subramanian, Hardeep Singh
Machine Learning To Enhance Electronic Detection Of Diagnostic Errors, Andrew J Zimolzak, Li Wei, Usman Mir, Ashish Gupta, Viralkumar Vaghani, Devika Subramanian, Hardeep Singh
Faculty, Staff and Students Publications
This cohort study examines whether machine learning (ML) can enhance the ability of electronic triggers to identify possible missed opportunities in diagnosis.
Folate Metabolism And Risk Of Childhood Acute Lymphoblastic Leukemia: A Genetic Pathway Analysis From The Childhood Cancer And Leukemia International Consortium, Catherine Metayer, Logan G Spector, Michael E Scheurer, Soyoung Jeon, Rodney J Scott, Masatoshi Takagi, Jacqueline Clavel, Atsushi Manabe, Xiaomei Ma, Elleni M Hailu, Philip J Lupo, Kevin Y Urayama, Audrey Bonaventure, Motohiro Kato, Aline Meirhaeghe, Charleston W K Chiang, Libby M Morimoto, Joseph L Wiemels
Folate Metabolism And Risk Of Childhood Acute Lymphoblastic Leukemia: A Genetic Pathway Analysis From The Childhood Cancer And Leukemia International Consortium, Catherine Metayer, Logan G Spector, Michael E Scheurer, Soyoung Jeon, Rodney J Scott, Masatoshi Takagi, Jacqueline Clavel, Atsushi Manabe, Xiaomei Ma, Elleni M Hailu, Philip J Lupo, Kevin Y Urayama, Audrey Bonaventure, Motohiro Kato, Aline Meirhaeghe, Charleston W K Chiang, Libby M Morimoto, Joseph L Wiemels
Faculty, Staff and Students Publications
BACKGROUND: Prenatal folate supplementation has been consistently associated with a reduced risk of childhood acute lymphoblastic leukemia (ALL). Previous germline genetic studies examining the one carbon (folate) metabolism pathway were limited in sample size, scope, and population diversity and led to inconclusive results.
METHODS: We evaluated whether ∼2,900 single-nucleotide polymorphisms (SNP) within 46 candidate genes involved in the folate metabolism pathway influence the risk of childhood ALL, using genome-wide data from nine case-control studies in the Childhood Cancer and Leukemia International Consortium (n = 9,058 cases including 4,510 children of European ancestry, 3,018 Latinx, and 1,406 Asians, and 92,364 controls). …
Prognostic Impact Of Notch1 Intracellular Domain, P63, And C-Myc In Lacrimal Gland Adenoid Cystic Carcinoma, Jiawei Zhao, Michelle D Williams, Mike Hernandez, Grace Kuang, Hila Goldberg, Janet Fan, Jing Ning, Renata Ferrarotto, Bita Esmaeli
Prognostic Impact Of Notch1 Intracellular Domain, P63, And C-Myc In Lacrimal Gland Adenoid Cystic Carcinoma, Jiawei Zhao, Michelle D Williams, Mike Hernandez, Grace Kuang, Hila Goldberg, Janet Fan, Jing Ning, Renata Ferrarotto, Bita Esmaeli
Faculty, Staff and Student Publications
PURPOSE: We assessed whether NICD1 expression, c-MYC expression, and P63 expression by immunohistochemistry (IHC) correlate with prognosis and high-risk clinicopathological features in lacrimal gland adenoid cystic carcinoma (ACC).
METHODS: Records of patients with lacrimal gland ACC who underwent surgery between 1998 to 2018 were reviewed. Clinicopathologic and treatment data were collected. Tumor tissues were subjected to light microscopy and IHC.
RESULTS: Of 43 patients treated during the study period, 21 had archived tumor tissue available and were included. The median age at diagnosis was 47 years, and 13 patients (62%) were male. Thirteen patients (62%) had T2 disease, and none …
Pancreatic Epithelial Il17/Il17ra Signaling Drives B7-H4 Expression To Promote Tumorigenesis, Susana Castro-Pando, Rian M Howell, Le Li, Marilina Mascaro, Erika Y Faraoni, Olivereen Le Roux, David Romanin, Virginia Tahan, Erick Riquelme, Yu Zhang, Jay K Kolls, James P Allison, Guillermina Lozano, Seyed J Moghaddam, Florencia Mcallister
Pancreatic Epithelial Il17/Il17ra Signaling Drives B7-H4 Expression To Promote Tumorigenesis, Susana Castro-Pando, Rian M Howell, Le Li, Marilina Mascaro, Erika Y Faraoni, Olivereen Le Roux, David Romanin, Virginia Tahan, Erick Riquelme, Yu Zhang, Jay K Kolls, James P Allison, Guillermina Lozano, Seyed J Moghaddam, Florencia Mcallister
Faculty, Staff and Student Publications
IL17 is required for the initiation and progression of pancreatic cancer, particularly in the context of inflammation, as previously shown by genetic and pharmacological approaches. However, the cellular compartment and downstream molecular mediators of IL17-mediated pancreatic tumorigenesis have not been fully identified. This study examined the cellular compartment required by generating transgenic animals with IL17 receptor A (IL17RA), which was genetically deleted from either the pancreatic epithelial compartment or the hematopoietic compartment via generation of IL17RA-deficient (IL17-RA-/-) bone marrow chimeras, in the context of embryonically activated or inducible Kras. Deletion of IL17RA from the pancreatic epithelial compartment, but not from …
Prognostic Significance And Biologic Associations Of Senescence-Associated Secretory Phenotype Biomarkers In Heart Failure, Oday Salman, Ali Javaheri, Douglas L Mann, Et Al.
Prognostic Significance And Biologic Associations Of Senescence-Associated Secretory Phenotype Biomarkers In Heart Failure, Oday Salman, Ali Javaheri, Douglas L Mann, Et Al.
2020-Current year OA Pubs
BACKGROUND: The role of cellular senescence in human heart failure (HF) remains unclear. The senescence-associated secretory phenotype (SASP) is composed of proteins released by senescent cells. We assessed the prognostic significance and biologic pathways associated with the SASP in human HF using a plasma proteomics approach.
METHODS AND RESULTS: We measured 25 known SASP proteins among 2248 PHFS (Penn HF Study) participants using the SOMAScan V4 assay. We extracted the common variance in these proteins to generate SASP factor scores and assessed the relationship between these SASP factor scores and (1) all-cause death and (2) the composite of death or …
Analysis Of Ductal Carcinoma In Situ By Self-Reported Race Reveals Molecular Differences Related To Outcome, Siri H Strand, Graham A Colditz, Et Al.
Analysis Of Ductal Carcinoma In Situ By Self-Reported Race Reveals Molecular Differences Related To Outcome, Siri H Strand, Graham A Colditz, Et Al.
2020-Current year OA Pubs
BACKGROUND: Ductal carcinoma in situ (DCIS) is a non-obligate precursor to invasive breast cancer (IBC). Studies have indicated differences in DCIS outcome based on race or ethnicity, but molecular differences have not been investigated.
METHODS: We examined the molecular profile of DCIS by self-reported race (SRR) and outcome groups in Black (n = 99) and White (n = 191) women in a large DCIS case-control cohort study with longitudinal follow up.
RESULTS: Gene expression and pathway analyses suggested that different genes and pathways are involved in diagnosis and ipsilateral breast outcome (DCIS or IBC) after DCIS treatment in White versus …
Scintruler: Guiding The Integration Of Multiple Single-Cell Rna-Seq Datasets With A Novel Statistical Metric, Yue Lyu, Steven H Lin, Hao Wu, Ziyi Li
Scintruler: Guiding The Integration Of Multiple Single-Cell Rna-Seq Datasets With A Novel Statistical Metric, Yue Lyu, Steven H Lin, Hao Wu, Ziyi Li
Faculty, Staff and Student Publications
Motivation: The growing number of single-cell RNA-seq (scRNA-seq) studies highlights the potential benefits of integrating multiple datasets, such as augmenting sample sizes and enhancing analytical robustness. Inherent diversity and batch discrepancies within samples or across studies continue to pose significant challenges for computational analyses. Questions persist in practice, lacking definitive answers: Should we use a specific integration method or opt for simply merging the datasets during joint analysis? Among all the existing data integration methods, which one is more suitable in specific scenarios?
Result: To fill the gap, we introduce SCIntRuler, a novel statistical metric for guiding the integration of …
Toward Reliable Symptom Coding In Electronic Health Records For Symptom Assessment And Research: Identification And Categorization Of International Classification Of Diseases, Ninth Revision, Clinical Modification Symptom Codes, Tru Cao, Veronica Brady, Meagan Whisenant, Xueying Wang, Yuxuan Gu, Hulin Wu
Toward Reliable Symptom Coding In Electronic Health Records For Symptom Assessment And Research: Identification And Categorization Of International Classification Of Diseases, Ninth Revision, Clinical Modification Symptom Codes, Tru Cao, Veronica Brady, Meagan Whisenant, Xueying Wang, Yuxuan Gu, Hulin Wu
Faculty, Staff and Student Publications
To date, symptom documentation has mostly relied on clinical notes in electronic health records or patient-reported outcomes using disease-specific symptom inventories. To provide a common and precise language for symptom recording, assessment, and research, a comprehensive list of symptom codes is needed. The International Classification of Diseases, Ninth Revision or its clinical modification ( International Classification of Diseases, Ninth Revision, Clinical Modification ) has a range of codes designated for symptoms, but it does not contain codes for all possible symptoms, and not all codes in that range are symptom related. This study aimed to identify and categorize the first …
A Subcortical Model For Auditory Forward Masking With Efferent Control Of Cochlear Gain., Braden N. Maxwell, Afagh Farhadi, Marc A Brennan, Adam Svec, Laurel H. Carney
A Subcortical Model For Auditory Forward Masking With Efferent Control Of Cochlear Gain., Braden N. Maxwell, Afagh Farhadi, Marc A Brennan, Adam Svec, Laurel H. Carney
All Faculty Scholarship
Previous physiological and psychophysical studies have explored whether feedback to the cochlea from the efferent system influences forward masking. The present work proposes that the limited growth-of-masking (GOM) observed in auditory nerve (AN) fibers may have been misunderstood; namely, that this limitation may be due to the influence of anesthesia on the efferent system. Building on the premise that the unanesthetized AN may exhibit GOM similar to more central nuclei, the present computational modeling study demonstrates that feedback from the medial olivocochlear (MOC) efferents may contribute to GOM observed physiologically in onset-type neurons in both the cochlear nucleus and inferior …
Systematically Assessing The Quality Of Dental Electronic Health Record Data For An Investigation Into Oral Health Care Disparities, Krishna Kumar Kookal, Muhammad F Walji, Ryan Brandon, Ferit Kivanc, Elizabeth Mertz, Aubri Kottek, Joanna Mullins, Shuang Liang, Larry E Jenson, Joel M White
Systematically Assessing The Quality Of Dental Electronic Health Record Data For An Investigation Into Oral Health Care Disparities, Krishna Kumar Kookal, Muhammad F Walji, Ryan Brandon, Ferit Kivanc, Elizabeth Mertz, Aubri Kottek, Joanna Mullins, Shuang Liang, Larry E Jenson, Joel M White
Faculty, Staff and Student Publications
Objectives: This work describes the process by which the quality of electronic health care data for a public health study was determined. The objectives were to adapt, develop, and implement data quality assessments (DQAs) based on the National Institutes of Health Pragmatic Trials Collaboratory (NIHPTC) data quality framework within the three domains of completeness, accuracy, and consistency, for an investigation into oral health care disparities of a preventive care program.
Methods: Electronic health record data for eligible children in a dental accountable care organization of 30 offices, in Oregon, were extracted iteratively from January 1, 2014, through March 31, 2022. …
Advancements In Apoe And Dementia Research: Highlights From The 2023 Aaic Advancements: Apoe Conference., Courtney M Kloske, Michael E Belloy, Elizabeth E Blue, Gregory R Bowman, Maria C Carrillo, Xiaoying Chen, Ornit Chiba-Falek, Albert A Davis, Gilbert Di Paolo, Francesca Garretti, David Gate, Lesley R. Golden, Jay W Heinecke, Joachim Herz, Yadong Huang, Costantino Iadecola, Lance A Johnson, Takahisa Kanekiyo, Celeste M Karch, Anastasia Khvorova, Sascha J Koppes-Den Hertog, Bruce T Lamb, Paige E Lawler, Yann Le Guen, Alexandra Litvinchuk, Chia-Chen Liu, Simin Mahinrad, Edoardo Marcora, Claudia Marino, Danny M Michaelson, Justin J Miller, Josh M. Morganti, Priyanka S Narayan, Michel S Naslavsky, Marlies Oosthoek, Kapil V Ramachandran, Abhirami Ramakrishnan, Ana-Caroline Raulin, Aiko Robert, Rasha N M Saleh, Claire Sexton, Nilomi Shah, Francis Shue, Isabel J Sible, Andrea Soranno, Michael R Strickland, Julia Tcw, Manon Thierry, Li-Huei Tsai, Ryan A Tuckey, Jason D Ulrich, Rik Van Der Kant, Na Wang, Cheryl L Wellington, Stacie C Weninger, Hussein N Yassine, Na Zhao, Guojun Bu, Alison M Goate, David M Holtzman
Advancements In Apoe And Dementia Research: Highlights From The 2023 Aaic Advancements: Apoe Conference., Courtney M Kloske, Michael E Belloy, Elizabeth E Blue, Gregory R Bowman, Maria C Carrillo, Xiaoying Chen, Ornit Chiba-Falek, Albert A Davis, Gilbert Di Paolo, Francesca Garretti, David Gate, Lesley R. Golden, Jay W Heinecke, Joachim Herz, Yadong Huang, Costantino Iadecola, Lance A Johnson, Takahisa Kanekiyo, Celeste M Karch, Anastasia Khvorova, Sascha J Koppes-Den Hertog, Bruce T Lamb, Paige E Lawler, Yann Le Guen, Alexandra Litvinchuk, Chia-Chen Liu, Simin Mahinrad, Edoardo Marcora, Claudia Marino, Danny M Michaelson, Justin J Miller, Josh M. Morganti, Priyanka S Narayan, Michel S Naslavsky, Marlies Oosthoek, Kapil V Ramachandran, Abhirami Ramakrishnan, Ana-Caroline Raulin, Aiko Robert, Rasha N M Saleh, Claire Sexton, Nilomi Shah, Francis Shue, Isabel J Sible, Andrea Soranno, Michael R Strickland, Julia Tcw, Manon Thierry, Li-Huei Tsai, Ryan A Tuckey, Jason D Ulrich, Rik Van Der Kant, Na Wang, Cheryl L Wellington, Stacie C Weninger, Hussein N Yassine, Na Zhao, Guojun Bu, Alison M Goate, David M Holtzman
Physiology Faculty Publications
INTRODUCTION: The apolipoprotein E gene (APOE) is an established central player in the pathogenesis of Alzheimer's disease (AD), with distinct apoE isoforms exerting diverse effects. apoE influences not only amyloid-beta and tau pathologies but also lipid and energy metabolism, neuroinflammation, cerebral vascular health, and sex-dependent disease manifestations. Furthermore, ancestral background may significantly impact the link between APOE and AD, underscoring the need for more inclusive research.
METHODS: In 2023, the Alzheimer's Association convened multidisciplinary researchers at the "AAIC Advancements: APOE" conference to discuss various topics, including apoE isoforms and their roles in AD pathogenesis, progress in apoE-targeted therapeutic strategies, updates …
Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu
Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu
Faculty, Staff and Student Publications
OBJECTIVES: The rapid expansion of biomedical literature necessitates automated techniques to discern relationships between biomedical concepts from extensive free text. Such techniques facilitate the development of detailed knowledge bases and highlight research deficiencies. The LitCoin Natural Language Processing (NLP) challenge, organized by the National Center for Advancing Translational Science, aims to evaluate such potential and provides a manually annotated corpus for methodology development and benchmarking.
MATERIALS AND METHODS: For the named entity recognition (NER) task, we utilized ensemble learning to merge predictions from three domain-specific models, namely BioBERT, PubMedBERT, and BioM-ELECTRA, devised a rule-driven detection method for cell line and …
Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu
Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu
Faculty, Staff and Student Publications
IMPORTANCE: The study highlights the potential of large language models, specifically GPT-3.5 and GPT-4, in processing complex clinical data and extracting meaningful information with minimal training data. By developing and refining prompt-based strategies, we can significantly enhance the models' performance, making them viable tools for clinical NER tasks and possibly reducing the reliance on extensive annotated datasets.
OBJECTIVES: This study quantifies the capabilities of GPT-3.5 and GPT-4 for clinical named entity recognition (NER) tasks and proposes task-specific prompts to improve their performance.
MATERIALS AND METHODS: We evaluated these models on 2 clinical NER tasks: (1) to extract medical problems, treatments, …
Emergency Department Slit Lamp Interdisciplinary Training Via Longitudinal Assessment In Medical Practice, Samara Hamou, Shayan Ghiaee, Christine Chung, Maureen Lloyd, Kelly Khem, Xiao Zhang
Emergency Department Slit Lamp Interdisciplinary Training Via Longitudinal Assessment In Medical Practice, Samara Hamou, Shayan Ghiaee, Christine Chung, Maureen Lloyd, Kelly Khem, Xiao Zhang
Department of Emergency Medicine Faculty Papers
INTRODUCTION: Eye emergencies make up nearly 3% of US emergency department (ED) visits. While emergency physicians (EP) should diagnose and treat these ophthalmologic emergencies, many trainees report limited ocular exposure and insufficient training throughout their residency to confidently conduct a thorough slit-lamp exam.
METHODS: We created an interdisciplinary, simulation-based mastery learning (SBML) curriculum to teach emergency attending physicians how to operate the slit lamp with multimodal learning methodology at a tertiary academic center. The EPs first demonstrate their initial slit-lamp competency with a 20-item checklist, and they then review the necessary curricular content to pass their independent readiness test before …
The Burden Of Diagnostic Error In Dentistry: A Study On Periodontal Disease Misclassification, Bunmi Tokede, Alfa Yansane, Ryan Brandon, Guo-Hao Lin, Chun-Teh Lee, Joel White, Xiaoqian Jiang, Eric Lee, Alaa Alsaffar, Muhammad Walji, Elsbeth Kalenderian
The Burden Of Diagnostic Error In Dentistry: A Study On Periodontal Disease Misclassification, Bunmi Tokede, Alfa Yansane, Ryan Brandon, Guo-Hao Lin, Chun-Teh Lee, Joel White, Xiaoqian Jiang, Eric Lee, Alaa Alsaffar, Muhammad Walji, Elsbeth Kalenderian
Faculty, Staff and Student Publications
Background: Periodontal disease constitutes a widely prevalent category of non-communicable diseases and ranks among the top 10 causes of disability worldwide. Little however is known about diagnostic errors in dentistry. In this work, by retrospectively deploying an electronic health record (EHR)-based trigger tool, followed by gold standard manual review, we provide epidemiological estimates on the rate of diagnostic misclassification in dentistry through a periodontal use case.
Methods: An EHR-based trigger tool (a retrospective record review instrument that uses a list of triggers (or clues), i.e., data elements within the health record, to alert reviewers to the potential presence of a …
Meta-Analysis Identifies Key Genes And Pathways Implicated In Benzo[A]Pyrene Exposure Response, Mingze Zhu, Jooyeon Hwang, Chao Xu
Meta-Analysis Identifies Key Genes And Pathways Implicated In Benzo[A]Pyrene Exposure Response, Mingze Zhu, Jooyeon Hwang, Chao Xu
Faculty, Staff and Student Publications
Introduction: Benzo[a]pyrene (B[a]P) is a carcinogenic polycyclic aromatic hydrocarbon that poses significant risks to human health. B[a]P influences cellular processes via intricate interactions; however, a comprehensive understanding of B[a]P's effects on the transcriptome remains elusive. This study aimed to conduct a comprehensive analysis focused on identifying relevant genes and signaling pathways affected by B[a]P exposure and their impact on human gene expression.
Methods: We searched the Gene Expression Omnibus database and identified four studies involving B[a]P exposure in human cells (T lymphocytes, hepatocellular carcinoma cells, and C3A cells). We utilized two approaches for differential expression analysis: the LIMMA package and …
Psychiatric Polygenic Risk Scores: Experience, Hope For Utility, And Concerns Among Child And Adolescent Psychiatrists, Amanda R Merner, Page M Trotter, Lauren A Ginn, Jason Bach, Katherine J Freedberg, Takahiro Soda, Eric A Storch, Stacey Pereira, Gabriel Lázaro-Muñoz
Psychiatric Polygenic Risk Scores: Experience, Hope For Utility, And Concerns Among Child And Adolescent Psychiatrists, Amanda R Merner, Page M Trotter, Lauren A Ginn, Jason Bach, Katherine J Freedberg, Takahiro Soda, Eric A Storch, Stacey Pereira, Gabriel Lázaro-Muñoz
Center for Medical Ethics and Health Policy Staff Publications
Recent advances in psychiatric genetics have enabled the use of polygenic risk scores (PRS) to estimate genetic risk for psychiatric disorders. However, the potential use of PRS in child and adolescent psychiatry has raised concerns. This study provides an in-depth examination of attitudes among child and adolescent psychiatrists (CAP) regarding the use of PRS in psychiatry. We conducted semi-structured interviews with U.S.-based CAP (n=29) who possess expertise in genetics. The majority of CAP indicated that PRS have limited clinical utility in their current form and are not ready for clinical implementation. Most clinicians stated that nothing would motivate them to …
Dominant Missense Variants In Srebf2 Are Associated With Complex Dermatological, Neurological, And Skeletal Abnormalities, Matthew J Moulton, Kristhen Atala, Yiming Zheng, Debdeep Dutta, Dorothy K Grange, Wen-Wen Lin, Daniel J Wegner, Jennifer A Wambach, Angela L Duker, Michael B Bober, Lisa Kratz, Carol A Wise, Ila Oxendine, Anas Khanshour, Undiagnosed Diseases Network, Michael F Wangler, Shinya Yamamoto, F Sessions Cole, Jonathan Rios, Hugo J Bellen
Dominant Missense Variants In Srebf2 Are Associated With Complex Dermatological, Neurological, And Skeletal Abnormalities, Matthew J Moulton, Kristhen Atala, Yiming Zheng, Debdeep Dutta, Dorothy K Grange, Wen-Wen Lin, Daniel J Wegner, Jennifer A Wambach, Angela L Duker, Michael B Bober, Lisa Kratz, Carol A Wise, Ila Oxendine, Anas Khanshour, Undiagnosed Diseases Network, Michael F Wangler, Shinya Yamamoto, F Sessions Cole, Jonathan Rios, Hugo J Bellen
Duncan NRI Faculty and Staff Publications
Purpose: We identified 2 individuals with de novo variants in SREBF2 that disrupt a conserved site 1 protease (S1P) cleavage motif required for processing SREBP2 into its mature transcription factor. These individuals exhibit complex phenotypic manifestations that partially overlap with sterol regulatory element binding proteins (SREBP) pathway-related disease phenotypes, but SREBF2-related disease has not been previously reported. Thus, we set out to assess the effects of SREBF2 variants on SREBP pathway activation.
Methods: We undertook ultrastructure and gene expression analyses using fibroblasts from an affected individual and utilized a fly model of lipid droplet (LD) formation to investigate the consequences …
Clinical Practice Recommendations For Hematopoietic Cell Transplantation And Cellular Therapies In Follicular Lymphoma: A Collaborative Effort On Behalf Of The American Society For Transplantation And Cellular Therapy And The European Society For Blood And Marrow Transplantation, Madiha Iqbal, Brad S Kahl, Et Al.
Clinical Practice Recommendations For Hematopoietic Cell Transplantation And Cellular Therapies In Follicular Lymphoma: A Collaborative Effort On Behalf Of The American Society For Transplantation And Cellular Therapy And The European Society For Blood And Marrow Transplantation, Madiha Iqbal, Brad S Kahl, Et Al.
2020-Current year OA Pubs
Follicular lymphoma (FL) is the most common indolent B-cell non-Hodgkin lymphoma (NHL), accounting for nearly one-third of all NHL. The therapeutic landscape for patients with FL has significantly expanded over the past decade, but the disease continues to be considered incurable. Hematopoietic cell transplantation (HCT) is potentially curative in some cases. Recently, the emergence of chimeric antigen receptor T-cell therapy (CAR-T) for patients with relapsed/refractory (R/R) FL has yielded impressive response rates and long-term remissions, but definitive statement on the curative potential of CAR-T is currently not possible due to limited patient numbers and relatively short follow up. A consensus …
Generative Large Language Models Are All-Purpose Text Analytics Engines: Text-To-Text Learning Is All Your Need, Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
Generative Large Language Models Are All-Purpose Text Analytics Engines: Text-To-Text Learning Is All Your Need, Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
Faculty, Staff and Student Publications
Objective: To solve major clinical natural language processing (NLP) tasks using a unified text-to-text learning architecture based on a generative large language model (LLM) via prompt tuning.
Methods: We formulated 7 key clinical NLP tasks as text-to-text learning and solved them using one unified generative clinical LLM, GatorTronGPT, developed using GPT-3 architecture and trained with up to 20 billion parameters. We adopted soft prompts (ie, trainable vectors) with frozen LLM, where the LLM parameters were not updated (ie, frozen) and only the vectors of soft prompts were updated, known as prompt tuning. We added additional soft prompts as a prefix …
Large Language Models For Biomedicine: Foundations, Opportunities, Challenges, And Best Practices, Satya S Sahoo, Joseph M Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre, Yanshan Wang
Large Language Models For Biomedicine: Foundations, Opportunities, Challenges, And Best Practices, Satya S Sahoo, Joseph M Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane Meystre, Yanshan Wang
Faculty, Staff and Student Publications
Objectives: Generative large language models (LLMs) are a subset of transformers-based neural network architecture models. LLMs have successfully leveraged a combination of an increased number of parameters, improvements in computational efficiency, and large pre-training datasets to perform a wide spectrum of natural language processing (NLP) tasks. Using a few examples (few-shot) or no examples (zero-shot) for prompt-tuning has enabled LLMs to achieve state-of-the-art performance in a broad range of NLP applications. This article by the American Medical Informatics Association (AMIA) NLP Working Group characterizes the opportunities, challenges, and best practices for our community to leverage and advance the integration of …
Ketamine’S Mechanism Of Action With An Emphasis On Neuroimmune Regulation: Can The Complement System Complement Ketamine’S Antidepressant Effects?, Brandi Quintanilla, Carlos A Zarate, Anilkumar Pillai
Ketamine’S Mechanism Of Action With An Emphasis On Neuroimmune Regulation: Can The Complement System Complement Ketamine’S Antidepressant Effects?, Brandi Quintanilla, Carlos A Zarate, Anilkumar Pillai
Faculty, Staff and Student Publications
Over 300 million people worldwide suffer from major depressive disorder (MDD). Unfortunately, only 30-40% of patients with MDD achieve complete remission after conventional monoamine antidepressant therapy. In recent years, ketamine has revolutionized the treatment of MDD, with its rapid antidepressant effects manifesting within a few hours as opposed to weeks with conventional antidepressants. Many research endeavors have sought to identify ketamine's mechanism of action in mood disorders; while many studies have focused on ketamine's role in glutamatergic modulation, several studies have implicated its role in regulating neuroinflammation. The complement system is an important component of the innate immune response vital …