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Articles 2161 - 2190 of 15163
Full-Text Articles in Medical Specialties
Changes Of Eeg Beta Band Power And Functional Connectivity During Spaceflight: A Retrospective Study, Adrián Quivira-Lopesino, María Sevilla-García, Pablo Cuesta, Sandra Pusil, Ricardo Bruña, Patrique Fiedler, Ana Maria Cebolla, Guy Cheron, Michael Funke, Fernando Maestu
Changes Of Eeg Beta Band Power And Functional Connectivity During Spaceflight: A Retrospective Study, Adrián Quivira-Lopesino, María Sevilla-García, Pablo Cuesta, Sandra Pusil, Ricardo Bruña, Patrique Fiedler, Ana Maria Cebolla, Guy Cheron, Michael Funke, Fernando Maestu
Faculty, Staff and Student Publications
Spaceflight exposes astronauts to unique conditions like microgravity, which may affect brain function, though it remains underexplored compared to other physiological systems. Astronauts often report temporary neurological symptoms, such as disorientation, visual disturbances, and motor issues, potentially linked to structural and electrophysiological brain changes. To investigate this, electroencephalography (EEG) is a reliable tool to study brain activity in space, measuring oscillatory activity and functional connectivity (FC). This study analyzed EEG data from five male astronauts during three stages: pre-flight, during low Earth orbit (LEO), and post-flight in a 2-min task-free eyes-closed (EC) condition followed by another 2-min of eyes-open (EO) …
Rnase1-Driven Alk-Activation Is An Oncogenic Driver And Therapeutic Target In Non-Small Cell Lung Cancer, Zhengyu Zha, Chunxiao Liu, Meisi Yan, Cong Chen, Cheng Yu, Yaohui Chen, Chenhao Zhou, Lu Li, Yi-Chuan Li, Hiro Yamaguchi, Leiguang Ye, Tong Liu, Ying-Nai Wang, Heng-Huan Lee, Wen-Hao Yang, Li-Chuan Chan, Baozhen Ke, Jennifer L Hsu, Lieming Ding, Dong Ji, Peng Pan, Yiran Meng, Yue Pu, Lunxu Liu, Mien-Chie Hung
Rnase1-Driven Alk-Activation Is An Oncogenic Driver And Therapeutic Target In Non-Small Cell Lung Cancer, Zhengyu Zha, Chunxiao Liu, Meisi Yan, Cong Chen, Cheng Yu, Yaohui Chen, Chenhao Zhou, Lu Li, Yi-Chuan Li, Hiro Yamaguchi, Leiguang Ye, Tong Liu, Ying-Nai Wang, Heng-Huan Lee, Wen-Hao Yang, Li-Chuan Chan, Baozhen Ke, Jennifer L Hsu, Lieming Ding, Dong Ji, Peng Pan, Yiran Meng, Yue Pu, Lunxu Liu, Mien-Chie Hung
Faculty, Staff and Student Publications
Targeted therapy has achieved significant success in the treatment of non-small cell lung cancer (NSCLC), particularly in patients harboring common oncogenic driver mutations such as EGFR, KRAS, and ALK rearrangement. However, ~35-50% of NSCLC patients without tyrosine kinase mutation or rearrangement (non-mutated) cannot benefit from these targeted treatments, highlighting the urgent need for novel therapeutic strategies for this patient population. In this study, we report a non-canonical role of human secretory ribonuclease 1 (RNase1), which binds to and activates wild-type ALK in lung cancer cells, thereby triggering its downstream signaling pathway. RNase1-driven ALK-activation (RDAA) cells exhibit enhanced cell proliferation, migration, …
The Geographic Identification Of Elevated Suicide Risk Model: Evaluating A Method For Examining Suicide-Related Behaviors At The Neighborhood Level In Harris County, Texas, Ryan M Hill, Sam C Cacace, Austin Starkey, Tyler Hendley, Jackson Bolner, Angela Cummings, Angie Hayes, Robert J Cramer
The Geographic Identification Of Elevated Suicide Risk Model: Evaluating A Method For Examining Suicide-Related Behaviors At The Neighborhood Level In Harris County, Texas, Ryan M Hill, Sam C Cacace, Austin Starkey, Tyler Hendley, Jackson Bolner, Angela Cummings, Angie Hayes, Robert J Cramer
Faculty, Staff and Students Publications
Background: The 2024 National Strategy for Suicide Prevention has called for the development of community-based suicide prevention resources, and improved existing prevention efforts. In line with such efforts, Hill and colleagues developed the Geospatial Identification of Elevated Suicide Risk model that estimates the relative prevalence of adolescent suicide risk within specific geographical areas. The current study seeks to further evaluate and refine the model for use as a tool to evaluate risk and protective factors at the neighborhood level.
Method: Drawing from multiple sources, data was collected detailing adolescent suicidal ideation, suicide attempts, suicide fatalities, and census tract characteristics. Utilizing …
Kras Mutation Detection By Liquid Biopsy For Pancreatic Ductal Adenocarcinoma, Mahmoud Yousef, Abdelrahman Yousef, Mark W Hurd, Ashwathy Pillai, Saikat Chowdhury, Rebecca Snyder, Mark Knafl, Ryan L Lewis, Paul M Roy, Mohammad Fanaeian, Sali Albarouki, Luca F Castelnovo, Jennifer Peterson, Brandon G Smaglo, Robert A Wolff, Shubham Pant, Jason Willis, Ryan Huey, Michael Overman, Ching-Wei Tzeng, Michael P Kim, Naruhiko Ikoma, Jess E Maxwell, Matthew H G Katz, Huamin Wang, Anirban Maitra, Eugene Koay, Ethan B Ludmir, Anthony Chen, Camila Lopez, Haoqiang Ying, John Paul Shen, Dan Zhao
Kras Mutation Detection By Liquid Biopsy For Pancreatic Ductal Adenocarcinoma, Mahmoud Yousef, Abdelrahman Yousef, Mark W Hurd, Ashwathy Pillai, Saikat Chowdhury, Rebecca Snyder, Mark Knafl, Ryan L Lewis, Paul M Roy, Mohammad Fanaeian, Sali Albarouki, Luca F Castelnovo, Jennifer Peterson, Brandon G Smaglo, Robert A Wolff, Shubham Pant, Jason Willis, Ryan Huey, Michael Overman, Ching-Wei Tzeng, Michael P Kim, Naruhiko Ikoma, Jess E Maxwell, Matthew H G Katz, Huamin Wang, Anirban Maitra, Eugene Koay, Ethan B Ludmir, Anthony Chen, Camila Lopez, Haoqiang Ying, John Paul Shen, Dan Zhao
Faculty, Staff and Student Publications
The clinical utility of liquid biopsy (LB) for pancreatic ductal adenocarcinoma (PDAC) remain understudied. Our single-institution cohort of 311 PDAC patients with non-tumor tissues informed LB found 81.2% positivity (N = 186) in metastatic cases and in 52.4% (N = 43) of localized disease. KRAS mutations were detected in 64.6% (N = 148) of metastatic cases and 16% (N = 13) for localized disease. Positive LB, especially KRAS mutation detection, is associated with worse overall survival (OS) in metastatic PDAC (median 14.5 vs. 31.3 months, HR = 2.7, 95%CI = 1.7-4.3, P < 0.0001). The positive concordance rates of KRAS and TP53 mutations were 63% and 68% in metastatic disease but only 7% (KRAS) and 33% (TP53) in localized disease, respectively. Among the 41 patients who underwent serial liquid biopsy testing, 25% tested positive after an initial negative result. LB detects therapeutically targetable mutations in 58.5% of PDAC patients and is associated with OS.
Multimeric Transcription Factor Bcl11a Utilizes Two Zinc-Finger Tandem Arrays To Bind Clustered Short Sequence Motifs, John R Horton, Meigen Yu, Jujun Zhou, Melody Tran, Rithvi R Anakal, Yue Lu, Robert M Blumenthal, Xiaotian Zhang, Yun Huang, Xing Zhang, Xiaodong Cheng
Multimeric Transcription Factor Bcl11a Utilizes Two Zinc-Finger Tandem Arrays To Bind Clustered Short Sequence Motifs, John R Horton, Meigen Yu, Jujun Zhou, Melody Tran, Rithvi R Anakal, Yue Lu, Robert M Blumenthal, Xiaotian Zhang, Yun Huang, Xing Zhang, Xiaodong Cheng
Faculty, Staff and Student Publications
BCL11A, a transcription factor, is vital for hematopoiesis, including B and T cell maturation and the fetal-to-adult hemoglobin switch. Mutations in BCL11A are linked to neurodevelopmental disorders. BCL11A contains two DNA-binding zinc-finger arrays, low-affinity ZF2-3 and high-affinity ZF4-6, separated by a 300-amino-acid linker. ZF2-3 and ZF4-5 share 73% identity, including five out of six DNA base-interacting residues. These arrays bind similar short sequence motifs in clusters, with the linker enabling a broader binding span. Crystallographic structures of ZF4-6, in complex with oligonucleotides from the β-globin locus region, reveal DNA sequence recognition by residues Asn756 (ZF4), Lys784 and Arg787 (ZF5). A …
Reduced Venetoclax Exposure To 7 Days Vs Standard Exposure With Hypomethylating Agents In Newly Diagnosed Aml Patients, Christophe Willekens, Alexandre Bazinet, Samy Chraibi, Alex Bataller, Justine Decroocq, Naszrin Arani, Benjamin Carpentier, Caitlin Rausch, Delphine Lebon, Abhishek Maiti, Nicolas Gauthier, Nicholas Short, Sarah Bonnet, Koji Sasaki, Sabine Khalife-Hachem, Mahesh Swaminathan, Jean-Baptiste Micol, Florence Pasquier, Christophe Marzac, Damien Roos-Weil, Laurent Pascal, Naval Daver, Tapan Kadia, Didier Bouscary, Farhad Ravandi, Arnaud Pages, Hagop Kantarjian, Stéphane De Botton, Courtney Dinardo
Reduced Venetoclax Exposure To 7 Days Vs Standard Exposure With Hypomethylating Agents In Newly Diagnosed Aml Patients, Christophe Willekens, Alexandre Bazinet, Samy Chraibi, Alex Bataller, Justine Decroocq, Naszrin Arani, Benjamin Carpentier, Caitlin Rausch, Delphine Lebon, Abhishek Maiti, Nicolas Gauthier, Nicholas Short, Sarah Bonnet, Koji Sasaki, Sabine Khalife-Hachem, Mahesh Swaminathan, Jean-Baptiste Micol, Florence Pasquier, Christophe Marzac, Damien Roos-Weil, Laurent Pascal, Naval Daver, Tapan Kadia, Didier Bouscary, Farhad Ravandi, Arnaud Pages, Hagop Kantarjian, Stéphane De Botton, Courtney Dinardo
Faculty, Staff and Student Publications
Hypomethylating agent (HMA) plus venetoclax (VEN) regimens are standard of care in patients with acute myeloid leukemia (AML) ineligible for intensive chemotherapy. While the VEN label recommends continuous 28-day cycles, shortened VEN durations may induce similar response rates and improve tolerability. It is unknown how a VEN exposure reduced to 7 days during cycles compares to standard HMA + VEN. We retrospectively compared newly diagnosed AML patients treated with azacitidine (AZA) x 7 days plus VEN x 7 days ("7 + 7" regimen) from the first cycle (n = 82) vs patients treated with standard dose HMA + VEN (std-HMA/VEN) …
Humanized Saccharomyces Cerevisiae Provides A Facile And Effective Tool To Identify Damaging Human Variants That Cause Exosomopathies, Khondakar Sayef Ahammed, Milo B Fasken, Anita H Corbett, Ambro Van Hoof
Humanized Saccharomyces Cerevisiae Provides A Facile And Effective Tool To Identify Damaging Human Variants That Cause Exosomopathies, Khondakar Sayef Ahammed, Milo B Fasken, Anita H Corbett, Ambro Van Hoof
Faculty, Staff and Student Publications
The RNA exosome is an evolutionarily conserved, multiprotein complex that is the major RNase in 3' processing and degradation of a wide range of RNAs in eukaryotes. Single amino acid changes in RNA exosome subunits cause rare genetic diseases collectively called exosomopathies. However, distinguishing disease-causing variants from nonpathogenic ones remains challenging, and the mechanism by which these variants cause disease is largely unknown. Previous studies have employed a budding yeast model of RNA exosome-linked diseases that relies on mutating the orthologous yeast genes. Here, we develop a humanized yeast model of exosomopathies that allows us to unambiguously assess damaging effects …
Developing An Online Community Advisory Board (Cab) Of Parents From Social Media To Co-Design An Human Papillomavirus Vaccine Intervention: Participatory Research Study, Regan M. Murray, Shawn C. Chiang, Ann C. Klassen, Jennifer A. Manganello, Amy E. Leader, Wen-Juo Lo, Philip M. Massey
Developing An Online Community Advisory Board (Cab) Of Parents From Social Media To Co-Design An Human Papillomavirus Vaccine Intervention: Participatory Research Study, Regan M. Murray, Shawn C. Chiang, Ann C. Klassen, Jennifer A. Manganello, Amy E. Leader, Wen-Juo Lo, Philip M. Massey
Department of Medical Oncology Faculty Papers
BACKGROUND: Social media health interventions have grown significantly in recent years. However, researchers are still developing innovative methods to meaningfully engage online communities to inform research activities. Little has been documented describing this approach of using online community advisory boards (CABs) to co-create health communication interventions on social media.
OBJECTIVE: This study describes the formation, engagement, and maintenance of an online CAB focused on co-creating a health education intervention for parents regarding the human papillomavirus (HPV) vaccine. The study provides guiding principles for public health researchers implementing such CABs in future digital health interventions.
METHODS: In May 2020, Twitter was …
Deep Learning-Based Automatic Segmentation Of Cerebral Infarcts On Diffusion Mri, 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, Sang-Soon Park, Jong-Moo Park, Kyusik Kang, Yong-Jin Cho, Hong-Kyun Park, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae Guk Kim, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Man Seok Park, Dongmin Kim, Oh Young Bang, Eung Yeop Kim, Chul-Ho Sohn, Hosung Kim, Hee-Joon Bae, Dong-Eog Kim
Deep Learning-Based Automatic Segmentation Of Cerebral Infarcts On Diffusion Mri, 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, Sang-Soon Park, Jong-Moo Park, Kyusik Kang, Yong-Jin Cho, Hong-Kyun Park, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae Guk Kim, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Man Seok Park, Dongmin Kim, Oh Young Bang, Eung Yeop Kim, Chul-Ho Sohn, Hosung Kim, Hee-Joon Bae, Dong-Eog Kim
Faculty, Staff and Student Publications
We explored effects of (1) training with various sample sizes of multi-site vs. single-site training data, (2) cross-site domain adaptation, and (3) data sources and features on the performance of algorithms segmenting cerebral infarcts on Magnetic Resonance Imaging (MRI). We used 10,820 annotated diffusion-weighted images (DWIs) from 10 university hospitals. Algorithms based on 3D U-net were trained using progressively larger subsamples (ranging from 217 to 8661), while internal testing employed a distinct set of 2159 DWIs. External validation was conducted using three unrelated datasets (n = 2777, 50, and 250). For domain adaptation, we utilized 50 to 1000 subsamples from …
A Review Of Recent Studies On The Pathogenesis Of Systemic Sclerosis: Focus On Fibrosis Pathways, Sergio A. Jimenez, Fabian A. Mendoza, Sonsoles Piera-Velazquez
A Review Of Recent Studies On The Pathogenesis Of Systemic Sclerosis: Focus On Fibrosis Pathways, Sergio A. Jimenez, Fabian A. Mendoza, Sonsoles Piera-Velazquez
Scleroderma Center Faculty Papers
Systemic Sclerosis (SSc) is a systemic autoimmune disease of unknown etiology characterized by the development of frequently progressive cutaneous and internal organ fibrosis accompanied by severe vascular alterations. The pathogenesis of SSc is highly complex and, despite extensive investigation, has not been fully elucidated. Numerous studies have suggested that unknown etiologic factors cause multiple alterations in genetically receptive hosts, leading to SSc development and progression. These events may be functionally and pathologically interconnected and include: 1) Structural and functional microvascular and endothelial cell abnormalities; 2) Severe oxidative stress and high reactive oxygen species (3); Frequently progressive cutaneous and visceral fibrosis; …
Evolution Of The Tumor Immune Landscape During Treatment With Tebentafusp, A T Cell Receptor-Cd3 Bispecific, Joseph Sacco, Peter Kirk, Emma Leach, Alexander Shoushtari, Richard Carvajal, Camille Britton-Rivet, Sophie Khakoo, Laura Collins, Luis De La Cruz-Merino, Zeynep Eroglu, Alexandra Ikeguchi, Paul Nathan, Omid Hamid, Marcus Butler, Sarah Stanhope, Koustubh Ranade, Takami Sato
Evolution Of The Tumor Immune Landscape During Treatment With Tebentafusp, A T Cell Receptor-Cd3 Bispecific, Joseph Sacco, Peter Kirk, Emma Leach, Alexander Shoushtari, Richard Carvajal, Camille Britton-Rivet, Sophie Khakoo, Laura Collins, Luis De La Cruz-Merino, Zeynep Eroglu, Alexandra Ikeguchi, Paul Nathan, Omid Hamid, Marcus Butler, Sarah Stanhope, Koustubh Ranade, Takami Sato
Department of Medical Oncology Faculty Papers
Metastatic uveal melanoma is an aggressive disease with poor outcome, which is refractory to immune checkpoint inhibitors. A T cell receptor (TCR)-based CD3 bispecific, tebentafusp, delivers clinical benefit in patients with metastatic uveal melanoma. Understanding the molecular basis for the anti-tumor activity of tebentafusp in an indication where checkpoint inhibitors are ineffective could aid in identification of other solid tumor indications where CD3 bispecifics may serve an unmet need. By analyzing tumor biopsies taken prior to treatment, early on-treatment, and at progression (NCT02570308), using RNA sequencing (RNA-seq) and immunohistochemistry (IHC), we show that expression of interferon-related genes in the tumor …
Plasma Proteomic Biomarkers Of Physical Frailty In Heart Failure: A Propensity Score Matched Discovery-Based Pilot Study, Quin Denfeld, Noelle Pavlovic, Christopher Lee, Jon Jacobs, Mary Roberts Davis, Samantha Powell, Marina Gritsenko, Susan Joseph, Beth Habecker
Plasma Proteomic Biomarkers Of Physical Frailty In Heart Failure: A Propensity Score Matched Discovery-Based Pilot Study, Quin Denfeld, Noelle Pavlovic, Christopher Lee, Jon Jacobs, Mary Roberts Davis, Samantha Powell, Marina Gritsenko, Susan Joseph, Beth Habecker
Division of Cardiology Faculty Papers
BACKGROUND: Physical frailty is highly prevalent in heart failure (HF), but we lack an understanding of the underlying pathophysiology. Proteomic evaluation of plasma samples may elucidate potential mechanisms and biomarkers of physical frailty in HF.
OBJECTIVES: We aimed to identify plasma proteomic biomarkers that are differentially expressed between physically frail and non-physically frail adults with HF.
METHODS: This was a secondary analysis of a subset of data and plasma samples from a study of frailty among patients with New York Heart Association (NYHA) Functional Classification I-IV HF. Physical frailty was measured using the Frailty Phenotype Criteria. Propensity score matching was …
Volumetric Changes In Cerebellar Transverse Zones: Age And Sex Effects In Health And Neurological Disorders, Farshid Ghiyamihoor, Payam Paymani, Jarrad Perron, Azam Asemi-Rad, Mehdi Marzban, Aashka Mohite, Karen Ardila, Bara Aljada, Asghar Marzban, Mehnosh Toback, Sherif Eltonsy, Ji Hyun Ko, Tabrez J Siddiqui, Christopher J Steele, Jiming Kong, Mario Manto, M Ethan Macdonald, Jason S Gill, Roy V Sillitoe, Fuat Balcı, Iman Beheshti, Hassan Marzban
Volumetric Changes In Cerebellar Transverse Zones: Age And Sex Effects In Health And Neurological Disorders, Farshid Ghiyamihoor, Payam Paymani, Jarrad Perron, Azam Asemi-Rad, Mehdi Marzban, Aashka Mohite, Karen Ardila, Bara Aljada, Asghar Marzban, Mehnosh Toback, Sherif Eltonsy, Ji Hyun Ko, Tabrez J Siddiqui, Christopher J Steele, Jiming Kong, Mario Manto, M Ethan Macdonald, Jason S Gill, Roy V Sillitoe, Fuat Balcı, Iman Beheshti, Hassan Marzban
Duncan NRI Faculty and Staff Publications
Cerebellar volumetric changes are intricately linked to aging, with distinct patterns across its transverse zones, the functional subdivisions characterized by unique cytoarchitectural and connectivity profiles. Despite research efforts, the cerebellar aging process in health and neurological disorders remains poorly understood. In this study, we investigated the effects of age and sex on total cerebellum, transverse zone, and lobule volumes using MRI data from over 45,000 participants compiled from six neuroimaging datasets. We also propose a framework for estimating cerebellum age as an indicator of cerebellar health. Significant age‐dependent volume reductions were observed across transverse zones, with the …
Comprehensive Assessment Of Initial Adaptation Of Extended-Spectrum Β-Lactamase-Positive St131 Escherichia Coli To Carbapenem Exposure, William C Shropshire, Xinhao Song, Jordan Bremer, Seokju Seo, Susana Rodriguez, Selvalakshmi Selvaraj Anand, An Q Dinh, Micah M Bhatti, Anna Konovalova, Cesar A Arias, Awdhesh Kalia, Yousif Shamoo, Samuel A Shelburne
Comprehensive Assessment Of Initial Adaptation Of Extended-Spectrum Β-Lactamase-Positive St131 Escherichia Coli To Carbapenem Exposure, William C Shropshire, Xinhao Song, Jordan Bremer, Seokju Seo, Susana Rodriguez, Selvalakshmi Selvaraj Anand, An Q Dinh, Micah M Bhatti, Anna Konovalova, Cesar A Arias, Awdhesh Kalia, Yousif Shamoo, Samuel A Shelburne
Faculty, Staff and Student Publications
Background: It remains unclear how high-risk Escherichia coli lineages, like sequence type (ST) 131, initially adapt to carbapenem exposure in their progression to carbapenem resistance.
Methods: Carbapenem mutation frequency was measured in multiple subclades of extended-spectrum β-lactamase (ESBL)-positive ST131 clinical isolates using a fluctuation assay followed by whole genome sequencing (WGS) characterization. Genomic, transcriptomic, and porin analyses of the ST131 C2/H30Rx isolate MB1860, under prolonged, increasing carbapenem exposure was performed using 2 experimental evolutionary platforms to measure fast versus slow adaptation.
Results: All 13 ESBL-positive ST131 strains selected from a diverse (n = 184) ST131 bacteremia cohort had detectable ertapenem …
Integrated Analysis Of Molecular And Clinical Features Associated With Overall Survival In Melanoma Patients With Brain Metastasis, Swaminathan Kumar, Meredith S Pelster, Merve Hasanov, Renato A Guerrieri, Courtney W Hudgens, Debora A Ledesma, Fuchenchu Wang, Grant M Fischer, Julie M Simon, Lauren E Haydu, Kalman V Katlowitz, Y N Vashisht Gopal, Jennifer L Mcquade, Lawrence N Kwong, Jason T Huse, Alexander J Lazar, Michael T Tetzlaff, Jeffrey E Gershenwald, Aron Y Joon, Ken Chen, Ziyi Li, Prahlad T Ram, Sherise D Ferguson, Michael A Davies
Integrated Analysis Of Molecular And Clinical Features Associated With Overall Survival In Melanoma Patients With Brain Metastasis, Swaminathan Kumar, Meredith S Pelster, Merve Hasanov, Renato A Guerrieri, Courtney W Hudgens, Debora A Ledesma, Fuchenchu Wang, Grant M Fischer, Julie M Simon, Lauren E Haydu, Kalman V Katlowitz, Y N Vashisht Gopal, Jennifer L Mcquade, Lawrence N Kwong, Jason T Huse, Alexander J Lazar, Michael T Tetzlaff, Jeffrey E Gershenwald, Aron Y Joon, Ken Chen, Ziyi Li, Prahlad T Ram, Sherise D Ferguson, Michael A Davies
Faculty, Staff and Student Publications
Melanoma brain metastases (MBMs) are diagnosed in up to 60% of metastatic melanoma patients. Previous studies have identified clinical factors that correlate with overall survival (OS) after MBM diagnosis. However, molecular and immune features associated with OS are poorly understood. An improved understanding of the molecular and immune correlates of OS could provide insights into MBM patient outcomes and guide therapeutic development. Thus, we analyzed clinical features and outcomes of 74 melanoma patients who underwent surgical resection (via craniotomy) between 1991 and 2015 at our institution with RNA-seq data generated from their MBMs. The median post-operative OS was 8.6 months …
Single-Cell Analyses Reveal A Functionally Heterogeneous Exhausted Cd8+ T-Cell Subpopulation That Is Correlated With Response To Checkpoint Therapy In Melanoma, Kelly M Mahuron, Osmaan Shahid, Prachi Sao, Clinton Wu, Alexandra M Haugh, Laura A Huppert, Lauren S Levine, Margaret M Lowe, Michael Alvarado, Markee Micu, Katy K Tsai, Melissa Chow, Meromit Singer, Jason M Schenkel, Arlene H Sharpe, Michael D Rosenblum, Kristen E Pauken, Adil I Daud
Single-Cell Analyses Reveal A Functionally Heterogeneous Exhausted Cd8+ T-Cell Subpopulation That Is Correlated With Response To Checkpoint Therapy In Melanoma, Kelly M Mahuron, Osmaan Shahid, Prachi Sao, Clinton Wu, Alexandra M Haugh, Laura A Huppert, Lauren S Levine, Margaret M Lowe, Michael Alvarado, Markee Micu, Katy K Tsai, Melissa Chow, Meromit Singer, Jason M Schenkel, Arlene H Sharpe, Michael D Rosenblum, Kristen E Pauken, Adil I Daud
Faculty, Staff and Student Publications
PD-1 pathway inhibitors have revolutionized cancer therapy. However, most patients do not durably benefit, highlighting the need for biomarkers to stratify patients as responders or nonresponders. Although CD8+ tumor-infiltrating lymphocytes (TIL) have been associated with immune checkpoint therapy response, there is no consensus on which CD8+ TIL subpopulations have the most prognostic value. Preclinical studies have focused on progenitor-like exhausted CD8+ T cells (TPEX) because TPEX proliferate more in response to PD-1 inhibitors than other exhausted T-cell (TEX) subpopulations. However, immune checkpoint inhibitor treatment drives TPEX differentiation into other TEX populations that can mediate antitumor immunity. These data complicate the …
A Screening Question To Assess Risk Of Using Antibiotics Without A Prescription: A Diagnostic Study, Ashley Collazo, Eva Amenta, Kiara Olmeda, Marissa Valentine-King, Lindsey Laytner, Azalia Mancera, Roger Zoorob, Michael K Paasche-Orlow, Richard L Street, Barbara W Trautner, Larissa Grigoryan
A Screening Question To Assess Risk Of Using Antibiotics Without A Prescription: A Diagnostic Study, Ashley Collazo, Eva Amenta, Kiara Olmeda, Marissa Valentine-King, Lindsey Laytner, Azalia Mancera, Roger Zoorob, Michael K Paasche-Orlow, Richard L Street, Barbara W Trautner, Larissa Grigoryan
Faculty, Staff and Students Publications
Objectives: Non-prescription antibiotic use (using antibiotics without medical advice) is potentially unsafe and promotes antimicrobial resistance. We studied predictors of prior non-prescription use and whether screening for prior non-prescription antibiotic use predicted intention of future non-prescription antibiotic use.
Methods: The survey was performed from January 2020 - June 2021 in six public primary care clinics and two private emergency departments. Prior non-prescription users were respondents who reported taking oral antibiotics for symptoms without contacting a clinician. Intended use was defined by answering yes to the question, "would you use antibiotics without contacting a doctor/nurse/dentist/clinic." We examined predictors for prior non-prescription …
Nitrate Ameliorates Alcohol-Induced Cognitive Impairment Via Oral Microbiota, Xiangxue Li, Zhaojun Ni, Weixiong Shi, Kangqing Zhao, Yanjie Zhang, Lina Liu, Zhong Wang, Jie Chen, Zhoulong Yu, Xuejiao Gao, Ying Qin, Jingwen Zhao, Wenjuan Peng, Jie Shi, Thomas R Kosten, Lin Lu, Lei Su, Yanxue Xue, Hongqiang Sun
Nitrate Ameliorates Alcohol-Induced Cognitive Impairment Via Oral Microbiota, Xiangxue Li, Zhaojun Ni, Weixiong Shi, Kangqing Zhao, Yanjie Zhang, Lina Liu, Zhong Wang, Jie Chen, Zhoulong Yu, Xuejiao Gao, Ying Qin, Jingwen Zhao, Wenjuan Peng, Jie Shi, Thomas R Kosten, Lin Lu, Lei Su, Yanxue Xue, Hongqiang Sun
Faculty, Staff and Students Publications
Alcohol use is associated with cognitive impairment and dysregulated inflammation. Oral nitrate may benefit cognitive impairment in aging through altering the oral microbiota. Similarly, the beneficial effects of nitrate on alcohol-induced cognitive decline and the roles of the oral microbiota merit investigation. Here we found that nitrate supplementation effectively mitigated cognitive impairment induced by chronic alcohol exposure in mice, reducing both systemic and neuroinflammation. Furthermore, nitrate restored the dysbiosis of the oral microbiota caused by alcohol consumption. Notably, removing the oral microbiota led to a subsequent loss of the beneficial effects of nitrate. Oral microbiota from donor alcohol use disordered …
Lineage Tracing And Single-Cell Rna Sequencing Reveal A Common Transcriptional State In Breast Cancer Tumor-Initiating Cells Characterized By Ifn/Stat1 Activity, Eric P Souto, Ping Gong, John D Landua, Ramakrishnan Rajaram Srinivasan, Abhinaya Ganesan, Lacey E Dobrolecki, Stephen C Purdy, Xingxin Pan, Michael Zeosky, Anna Chung, S Stephen Yi, Heide L Ford, Michael T Lewis
Lineage Tracing And Single-Cell Rna Sequencing Reveal A Common Transcriptional State In Breast Cancer Tumor-Initiating Cells Characterized By Ifn/Stat1 Activity, Eric P Souto, Ping Gong, John D Landua, Ramakrishnan Rajaram Srinivasan, Abhinaya Ganesan, Lacey E Dobrolecki, Stephen C Purdy, Xingxin Pan, Michael Zeosky, Anna Chung, S Stephen Yi, Heide L Ford, Michael T Lewis
Faculty, Staff and Students Publications
A tumor cell subpopulation of tumor-initiating cells (TIC) or "cancer stem cells" is associated with therapeutic resistance, as well as both local and distant recurrences. Signal transducer and activator of transcription (STAT) activity is elevated in TICs in claudin-low models of human triple-negative breast cancer, which enables enrichment of TICs using a STAT-responsive reporter. Lineage tracing of TICs as they undergo cell state changes could enable a better understanding of the molecular phenotypes of TIC and uncover strategies to selectively target TICs. In this study, we developed a STAT-responsive lineage-tracing system and used it in conjunction with the original reporter …
Distinguishing Multisystem Inflammatory Syndrome In Children From Typhus Using Artificial Intelligence: Mis-C Versus Endemic Typhus (Ai-Met), Angela Chun, Abraham Bautista-Castillo, Isabella Osuna, Kristiana Nasto, Flor M Munoz, Gordon E Schutze, Sridevi Devaraj, Eyal Muscal, Marietta M De Guzman, Kristen Sexson Tejtel, Tiphanie P Vogel, Ioannis A Kakadiaris
Distinguishing Multisystem Inflammatory Syndrome In Children From Typhus Using Artificial Intelligence: Mis-C Versus Endemic Typhus (Ai-Met), Angela Chun, Abraham Bautista-Castillo, Isabella Osuna, Kristiana Nasto, Flor M Munoz, Gordon E Schutze, Sridevi Devaraj, Eyal Muscal, Marietta M De Guzman, Kristen Sexson Tejtel, Tiphanie P Vogel, Ioannis A Kakadiaris
Faculty, Staff and Students Publications
Background: The pandemic emergent disease multisystem inflammatory syndrome in children (MIS-C) following coronavirus disease-19 infection can mimic endemic typhus. We aimed to use artificial intelligence (AI) to develop a clinical decision support system that accurately distinguishes MIS-C versus endemic typhus (MET).
Methods: Demographic, clinical, and laboratory features rapidly available following presentation were extracted for 133 patients with MIS-C and 87 patients hospitalized due to typhus. An attention module assigned importance to inputs used to create the 2-phase AI-MET. Phase 1 uses 17 features to arrive at a classification manually (MET-17). If the confidence level is not surpassed, 13 additional features …
Germline Pathogenic Drosha Variants Are Linked To Pineoblastoma And Wilms Tumor Predisposition, Peter N Fiorica, Lisa Golmard, Jung Kim, Riyue Bao, Frank Y Lin, Angshumoy Roy, Allison Pribnow, Melissa R Perrino, Julien Masliah-Planchon, Sophie Michalak-Provost, Jennifer Wong, Mathilde Filser, Dominique Stoppa-Lyonnet, Franck Bourdeaut, Afane Brahimi, Olivier Ingster, Giselle Saulnier Sholler, Sarah A Jackson, Mark M Sasaki, Trent Fowler, Anita Ng, Ryan J Corbett, Rebecca S Kaufman, Jeremy S Haley, David J Carey, Kuan-Lin Huang, Sharon J Diskin, Jo Lynne Rokita, Hussam Al-Kateb, Rose B Mcgee, Joshua D Schiffman, Kenneth S Chen, Douglas R Stewart, D Williams Parsons, Sharon E Plon, Kris Ann P Schultz, Kenan Onel
Germline Pathogenic Drosha Variants Are Linked To Pineoblastoma And Wilms Tumor Predisposition, Peter N Fiorica, Lisa Golmard, Jung Kim, Riyue Bao, Frank Y Lin, Angshumoy Roy, Allison Pribnow, Melissa R Perrino, Julien Masliah-Planchon, Sophie Michalak-Provost, Jennifer Wong, Mathilde Filser, Dominique Stoppa-Lyonnet, Franck Bourdeaut, Afane Brahimi, Olivier Ingster, Giselle Saulnier Sholler, Sarah A Jackson, Mark M Sasaki, Trent Fowler, Anita Ng, Ryan J Corbett, Rebecca S Kaufman, Jeremy S Haley, David J Carey, Kuan-Lin Huang, Sharon J Diskin, Jo Lynne Rokita, Hussam Al-Kateb, Rose B Mcgee, Joshua D Schiffman, Kenneth S Chen, Douglas R Stewart, D Williams Parsons, Sharon E Plon, Kris Ann P Schultz, Kenan Onel
Center for Medical Ethics and Health Policy Staff Publications
Purpose: DROSHA, DGCR8, and DICER1 regulate miRNA biogenesis and are commonly mutated in cancer. Although DGCR8 and DICER1 germline pathogenic variants (GPV) cause autosomal dominant tumor predisposition, no association between DROSHA GPVs and clinical phenotypes has been reported.
Experimental design: After obtaining informed consent, sequencing was performed on germline and tumor samples from all patients. The occurrence of germline DROSHA GPVs was investigated in large pediatric and adult cancer datasets. The population prevalence of DROSHA GPVs was investigated in the UK Biobank and Geisinger DiscovEHR cohorts.
Results: We describe nine children from eight families with heterozygous DROSHA GPVs and a …
Long-Read Single-Cell Rna Sequencing Enables The Study Of Cancer Subclone-Specific Genotypes And Phenotypes In Chronic Lymphocytic Leukemia, Gage S Black, Xiaomeng Huang, Yi Qiao, Philip Moos, Deepa Sampath, Deborah M Stephens, Jennifer A Woyach, Gabor T Marth
Long-Read Single-Cell Rna Sequencing Enables The Study Of Cancer Subclone-Specific Genotypes And Phenotypes In Chronic Lymphocytic Leukemia, Gage S Black, Xiaomeng Huang, Yi Qiao, Philip Moos, Deepa Sampath, Deborah M Stephens, Jennifer A Woyach, Gabor T Marth
Faculty, Staff and Student Publications
Bruton tyrosine kinase (BTK) inhibitors are effective for the treatment of chronic lymphocytic leukemia (CLL) due to BTK's role in B cell survival and proliferation. Treatment resistance is most commonly caused by the emergence of the hallmark BTKC481S mutation that inhibits drug binding. In this study, we aimed to investigate cancer subclones harboring a BTKC481S mutation and identify cells with co-occurring CLL driver mutations. In addition, we sought to determine whether BTK-mutated subclones exhibit distinct transcriptomic behavior when compared to other cancer subclones. To achieve these goals, we use scBayes, which integrates bulk DNA sequencing and single-cell …
Results Of The Phase I/Ii Study And Preliminary B-Cell Gene Signature Of Combined Inhibition Of Glutamine Metabolism And Egfr In Colorectal Cancer, Kristen K Ciombor, Seong-Woo Bae, Jennifer G Whisenant, Gregory D Ayers, Quanhu Sheng, Todd E Peterson, Gary T Smith, Kangyu Lin, Saikat Chowdhury, Preeti Kanikarla Marie, Alexey Sorokin, Allison S Cohen, Laura W Goff, Dana B Cardin, John Paul Shen, Scott Kopetz, Cathy Eng, Yu Shyr, Jordan Berlin, H Charles Manning
Results Of The Phase I/Ii Study And Preliminary B-Cell Gene Signature Of Combined Inhibition Of Glutamine Metabolism And Egfr In Colorectal Cancer, Kristen K Ciombor, Seong-Woo Bae, Jennifer G Whisenant, Gregory D Ayers, Quanhu Sheng, Todd E Peterson, Gary T Smith, Kangyu Lin, Saikat Chowdhury, Preeti Kanikarla Marie, Alexey Sorokin, Allison S Cohen, Laura W Goff, Dana B Cardin, John Paul Shen, Scott Kopetz, Cathy Eng, Yu Shyr, Jordan Berlin, H Charles Manning
Faculty, Staff and Student Publications
Purpose: EGFR-targeting mAbs are essential for managing rat sarcoma virus wild-type metastatic colorectal cancer (mCRC), but their limited efficacy necessitates exploring immunologic and metabolic factors influencing response. This study evaluated glutamine metabolism targeting with EGFR inhibition to identify response biomarkers in patients with prior anti-EGFR treatment progression.
Patients and methods: We conducted a phase I/II trial in patients with KRAS wild-type mCRC, combining panitumumab (6 mg/kg) and CB-839 (600 mg/kg or 800 mg/kg), hypothesizing that the dual inhibition of glutamine metabolism and MAPK signaling would enhance outcomes. As study correlatives, we investigated the B-cell activation signature "B-score" and glutamine PET …
Closing The Gaps, And Improving Somatic Structural Variant Analysis And Benchmarking Using Chm13-T2t, Luis F Paulin, Jeremy Fan, Kieran O'Neill, Erin Pleasance, Vanessa L Porter, Steven J M Jones, Fritz J Sedlazeck
Closing The Gaps, And Improving Somatic Structural Variant Analysis And Benchmarking Using Chm13-T2t, Luis F Paulin, Jeremy Fan, Kieran O'Neill, Erin Pleasance, Vanessa L Porter, Steven J M Jones, Fritz J Sedlazeck
Faculty, Staff and Students Publications
The complexities of cancer genomes are becoming more easily interpreted due to advancements in sequencing technologies and improved bioinformatic analysis. Structural variants (SVs) represent an important subset of somatic events in tumors. While the detection of SVs has been markedly improved by the development of long-read sequencing, somatic variant identification and annotation remain challenging. We hypothesized that the use of a completed human reference genome (CHM13-T2T) would improve somatic SV calling. Our findings in a tumor-normal matched benchmark sample and three patient samples show that the CHM13-T2T improves SV detection accuracy compared to GRCh38 with a notable reduction in false-positive …
Update On Cancer And Central Nervous System Tumor Surveillance In Pediatric Nf2-, Smarcb1-, And Lztr1-Related Schwannomatosis, Melissa R Perrino, Marjolijn C J Jongmans, Gail E Tomlinson, Mary-Louise C Greer, Sarah R Scollon, Sarah G Mitchell, Jordan R Hansford, Kris Ann P Schultz, Wendy K Kohlmann, Jennifer M Kalish, Suzanne P Macfarland, Anirban Das, Kara N Maxwell, Stefan M Pfister, Rosanna Weksberg, Orli Michaeli, Uri Tabori, Gina M Ney, Philip J Lupo, Jack J Brzezinski, Douglas R Stewart, Emma R Woodward, Christian P Kratz
Update On Cancer And Central Nervous System Tumor Surveillance In Pediatric Nf2-, Smarcb1-, And Lztr1-Related Schwannomatosis, Melissa R Perrino, Marjolijn C J Jongmans, Gail E Tomlinson, Mary-Louise C Greer, Sarah R Scollon, Sarah G Mitchell, Jordan R Hansford, Kris Ann P Schultz, Wendy K Kohlmann, Jennifer M Kalish, Suzanne P Macfarland, Anirban Das, Kara N Maxwell, Stefan M Pfister, Rosanna Weksberg, Orli Michaeli, Uri Tabori, Gina M Ney, Philip J Lupo, Jack J Brzezinski, Douglas R Stewart, Emma R Woodward, Christian P Kratz
Faculty, Staff and Students Publications
Schwannomatosis (SWN) is a distinct cancer predisposition syndrome caused by germline pathogenic variants in the genes NF2, SMARCB1, or LZTR1. There is a significant clinical overlap between these syndromes with the hallmark of increased risk for cranial, spinal, and peripheral schwannomas. Neurofibromatosis type 2 was recently renamed as NF2-related SWN and is the most common SWN syndrome, with increased risk for bilateral vestibular schwannomas, intradermal schwannomas, meningiomas, and less commonly, ependymoma. SMARCB1-related SWN is a familial SWN syndrome associated with peripheral and spinal schwannomas and an increased risk for meningiomas and malignant peripheral nerve sheath tumors, even in the absence …
A Hitchhiker’S Guide To Long-Read Genomic Analysis, Medhat Mahmoud, Daniel P Agustinho, Fritz J Sedlazeck
A Hitchhiker’S Guide To Long-Read Genomic Analysis, Medhat Mahmoud, Daniel P Agustinho, Fritz J Sedlazeck
Faculty, Staff and Students Publications
Over the past decade, long-read sequencing has evolved into a pivotal technology for uncovering the hidden and complex regions of the genome. Significant cost efficiency, scalability, and accuracy advancements have driven this evolution. Concurrently, novel analytical methods have emerged to harness the full potential of long reads. These advancements have enabled milestones such as the first fully completed human genome, enhanced identification and understanding of complex genomic variants, and deeper insights into the interplay between epigenetics and genomic variation. This mini-review provides a comprehensive overview of the latest developments in long-read DNA sequencing analysis, encompassing reference-based and de novo assembly …
Unraveling The Hidden Complexity Of Cancer Through Long-Read Sequencing, Qiuhui Li, Ayse G Keskus, Justin Wagner, Michal B Izydorczyk, Winston Timp, Fritz J Sedlazeck, Alison P Klein, Justin M Zook, Mikhail Kolmogorov, Michael C Schatz
Unraveling The Hidden Complexity Of Cancer Through Long-Read Sequencing, Qiuhui Li, Ayse G Keskus, Justin Wagner, Michal B Izydorczyk, Winston Timp, Fritz J Sedlazeck, Alison P Klein, Justin M Zook, Mikhail Kolmogorov, Michael C Schatz
Faculty, Staff and Students Publications
Cancer is fundamentally a disease of the genome, characterized by extensive genomic, transcriptomic, and epigenomic alterations. Most current studies predominantly use short-read sequencing, gene panels, or microarrays to explore these alterations; however, these technologies can systematically miss or misrepresent certain types of alterations, especially structural variants, complex rearrangements, and alterations within repetitive regions. Long-read sequencing is rapidly emerging as a transformative technology for cancer research by providing a comprehensive view across the genome, transcriptome, and epigenome, including the ability to detect alterations that previous technologies have overlooked. In this Perspective, we explore the current applications of long-read sequencing for both …
Proteogenomic Characterization Of Non-Functional Pancreatic Neuroendocrine Tumors Unravels Clinically Relevant Subgroups, Shunrong Ji, Lihua Cao, Jing Gao, Yang Du, Zeng Ye, Xin Lou, Fen Liu, Yehan Zhang, Junfeng Xu, Xiaohan Shi, Huan Wang, Penghao Li, Yikai Li, Hongxu Chen, Zhicheng Yang, Suizhi Gao, Wuhu Zhang, Dan Huang, Shujuan Ni, Miaoyan Wei, Fei Wang, Yan Wang, Tian Ding, Desheng Jing, Guixiong Fan, Zhiyun Gong, Renquan Lu, Yi Qin, Jie Chen, Xiaowu Xu, Pei Wang, Bing Zhang, Li Ding, Ana I Robles, Henry Rodriguez, David K Chang, Ralph H Hruban, Dong Gao, Daming Gao, Gang Jin, Hu Zhou, Jianmin Wu, Xianjun Yu
Proteogenomic Characterization Of Non-Functional Pancreatic Neuroendocrine Tumors Unravels Clinically Relevant Subgroups, Shunrong Ji, Lihua Cao, Jing Gao, Yang Du, Zeng Ye, Xin Lou, Fen Liu, Yehan Zhang, Junfeng Xu, Xiaohan Shi, Huan Wang, Penghao Li, Yikai Li, Hongxu Chen, Zhicheng Yang, Suizhi Gao, Wuhu Zhang, Dan Huang, Shujuan Ni, Miaoyan Wei, Fei Wang, Yan Wang, Tian Ding, Desheng Jing, Guixiong Fan, Zhiyun Gong, Renquan Lu, Yi Qin, Jie Chen, Xiaowu Xu, Pei Wang, Bing Zhang, Li Ding, Ana I Robles, Henry Rodriguez, David K Chang, Ralph H Hruban, Dong Gao, Daming Gao, Gang Jin, Hu Zhou, Jianmin Wu, Xianjun Yu
Faculty, Staff and Students Publications
The majority of neuroendocrine neoplasms in pancreas are non-functional pancreatic neuroendocrine tumors (NF-PanNETs), which exhibit a high occurrence of distant metastases with limited therapeutic options. Here, we perform a comprehensive molecular characterization of 108 NF-PanNETs through integrative analysis of genomic, transcriptomic, proteomic, and phosphoproteomic profiles. Proteogenomic analysis provides functional insights into the genomic driver alterations of NF-PanNETs, revealing a potential mediator of MEN1 alterations using Men1-conditional knockout mice. Machine-learning-based modeling uncovers a three-protein signature as an independent prognostic factor, which is validated by an independent external cohort. Proteomic and phosphoproteomic-based stratification identifies four subtypes with distinct molecular characteristics, immune microenvironments, …
Machine Learning To Optimize Use Of Natriuretic Peptides In The Diagnosis Of Acute Heart Failure, Dimitrios Doudesis, Kuan Ken Lee, Mohamed Anwar, Adam J. Singer, Judd Hollander, Md, Camille Chenevier-Gobeaux, Yann-Erick Claessens, Desiree Wussler, Dominic Weil, Nikola Kozhuharov, Ivo Strebel, Zaid Sabti, Christopher Defilippi, Stephen Seliger, Evandro Tinoco Mesquita, Jan C. Wiemer, Martin Möckel, Joel Coste, Patrick Jourdain, Komukai Kimiaki, Michihiro Yoshimura, Irwani Ibrahim, Shirley Beng Suat Ooi, Win Sen Kuan, Alfons Gegenhuber, Thomas Mueller, Olivier Hanon, Jean-Sébastien Vidal, Peter Cameron, Louisa Lam, Ben Freedman, Tommy Chung, Sean P. Collins, Christopher J Lindsell, David E. Newby, Alan G. Japp, Anoop S V Shah, Humberto Villacorta, A Mark Richards, John J V Mcmurray, Christian Mueller, James L. Januzzi, Nicholas L. Mills
Machine Learning To Optimize Use Of Natriuretic Peptides In The Diagnosis Of Acute Heart Failure, Dimitrios Doudesis, Kuan Ken Lee, Mohamed Anwar, Adam J. Singer, Judd Hollander, Md, Camille Chenevier-Gobeaux, Yann-Erick Claessens, Desiree Wussler, Dominic Weil, Nikola Kozhuharov, Ivo Strebel, Zaid Sabti, Christopher Defilippi, Stephen Seliger, Evandro Tinoco Mesquita, Jan C. Wiemer, Martin Möckel, Joel Coste, Patrick Jourdain, Komukai Kimiaki, Michihiro Yoshimura, Irwani Ibrahim, Shirley Beng Suat Ooi, Win Sen Kuan, Alfons Gegenhuber, Thomas Mueller, Olivier Hanon, Jean-Sébastien Vidal, Peter Cameron, Louisa Lam, Ben Freedman, Tommy Chung, Sean P. Collins, Christopher J Lindsell, David E. Newby, Alan G. Japp, Anoop S V Shah, Humberto Villacorta, A Mark Richards, John J V Mcmurray, Christian Mueller, James L. Januzzi, Nicholas L. Mills
Department of Emergency Medicine Faculty Papers
AIMS: B-type natriuretic peptide (BNP) and mid-regional pro-atrial natriuretic peptide (MR-proANP) testing are guideline-recommended to aid in the diagnosis of acute heart failure. Nevertheless, the diagnostic performance of these biomarkers is uncertain.
METHODS AND RESULTS: We performed a systematic review and individual patient-level data meta-analysis to evaluate the diagnostic performance of BNP and MR-proANP. We subsequently developed and externally validated a decision-support tool called CoDE-HF that combines natriuretic peptide concentrations with clinical variables using machine learning to report the probability of acute heart failure. Fourteen studies from 12 countries provided individual patient-level data in 8493 patients for BNP and 3899 …
Machine Learning To Optimize Use Of Natriuretic Peptides In The Diagnosis Of Acute Heart Failure, Dimitrios Doudesis, Kuan Ken Lee, Mohamed Anwar, Adam J. Singer, Judd E. Hollander, Camille Chenevier-Gobeaux, Yann-Erick Claessens, Desiree Wussler, Dominic Weil, Nikola Kozhuharov, Ivo Strebel, Zaid Sabti, Christopher Defilippi, Stephen Seliger, Evandro Tinoco Mesquita, Jan C. Wiemer, Martin Möckel, Joel Coste, Patrick Jourdain, Komukai Kimiaki, Michihiro Yoshimura, Irwani Ibrahim, Shirley Beng Suat Ooi, Win Sen Kuan, Alfons Gegenhuber, Thomas Mueller, Olivier Hanon, Jean-Sébastien Vidal, Peter Cameron, Louisa Lam, Ben Freedman, Tommy Chung, Sean P. Collins, Christopher J. Lindsell, David E. Newby, Alan G. Japp, Anoop S. V. Shah, Humberto Villacorta, A. Mark Richards, John J V Mcmurray, Christian Mueller, James L. Januzzi, Nicholas L. Mills, Gordon Moe, Carlos Fernando, Hanna K. Gaggin, Antoni Bayes-Genis, Roland Rj Van Kimmenade, Yigal Pinto, Joost H. W. Rutten, Anton H. Van Den Meiracker, Luna Gargani, Nicola R. Pugliese, Pemberton Christopher, Michael Neumaier, Michael Behnes, Ibrahim Akin, Michele Bombelli, Guido Grassi, Peiman Nazerian, Giovanni Albano, Philipp Bahrmann
Machine Learning To Optimize Use Of Natriuretic Peptides In The Diagnosis Of Acute Heart Failure, Dimitrios Doudesis, Kuan Ken Lee, Mohamed Anwar, Adam J. Singer, Judd E. Hollander, Camille Chenevier-Gobeaux, Yann-Erick Claessens, Desiree Wussler, Dominic Weil, Nikola Kozhuharov, Ivo Strebel, Zaid Sabti, Christopher Defilippi, Stephen Seliger, Evandro Tinoco Mesquita, Jan C. Wiemer, Martin Möckel, Joel Coste, Patrick Jourdain, Komukai Kimiaki, Michihiro Yoshimura, Irwani Ibrahim, Shirley Beng Suat Ooi, Win Sen Kuan, Alfons Gegenhuber, Thomas Mueller, Olivier Hanon, Jean-Sébastien Vidal, Peter Cameron, Louisa Lam, Ben Freedman, Tommy Chung, Sean P. Collins, Christopher J. Lindsell, David E. Newby, Alan G. Japp, Anoop S. V. Shah, Humberto Villacorta, A. Mark Richards, John J V Mcmurray, Christian Mueller, James L. Januzzi, Nicholas L. Mills, Gordon Moe, Carlos Fernando, Hanna K. Gaggin, Antoni Bayes-Genis, Roland Rj Van Kimmenade, Yigal Pinto, Joost H. W. Rutten, Anton H. Van Den Meiracker, Luna Gargani, Nicola R. Pugliese, Pemberton Christopher, Michael Neumaier, Michael Behnes, Ibrahim Akin, Michele Bombelli, Guido Grassi, Peiman Nazerian, Giovanni Albano, Philipp Bahrmann
Department of Emergency Medicine Faculty Papers
AIMS: B-type natriuretic peptide (BNP) and mid-regional pro-atrial natriuretic peptide (MR-proANP) testing are guideline-recommended to aid in the diagnosis of acute heart failure. Nevertheless, the diagnostic performance of these biomarkers is uncertain.
METHODS AND RESULTS: We performed a systematic review and individual patient-level data meta-analysis to evaluate the diagnostic performance of BNP and MR-proANP. We subsequently developed and externally validated a decision-support tool called CoDE-HF that combines natriuretic peptide concentrations with clinical variables using machine learning to report the probability of acute heart failure. Fourteen studies from 12 countries provided individual patient-level data in 8493 patients for BNP and 3899 …