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Articles 1 - 25 of 25
Full-Text Articles in Life Sciences
Rare And Low Frequency Genomic Variants Impacting Neuronal Functions Modify The Dup7q11.23 Phenotype, Farah Qaiser, Yue Yin, Carolyn B. Mervis, Colleen A. Morris, Bonita P. Klein-Tasman, Elaine Tam, Lucy R. Osborne, Ryan K.C. Yuen
Rare And Low Frequency Genomic Variants Impacting Neuronal Functions Modify The Dup7q11.23 Phenotype, Farah Qaiser, Yue Yin, Carolyn B. Mervis, Colleen A. Morris, Bonita P. Klein-Tasman, Elaine Tam, Lucy R. Osborne, Ryan K.C. Yuen
School of Medicine Faculty Publications
© 2021, The Author(s). Background: 7q11.23 duplication (Dup7) is one of the most frequent recurrent copy number variants (CNVs) in individuals with autism spectrum disorder (ASD), but based on gold-standard assessments, only 19% of Dup7 carriers have ASD, suggesting that additional genetic factors are necessary to manifest the ASD phenotype. To assess the contribution of additional genetic variants to the Dup7 phenotype, we conducted whole-genome sequencing analysis of 20 Dup7 carriers: nine with ASD (Dup7-ASD) and 11 without ASD (Dup7-non-ASD). Results: We identified three rare variants of potential clinical relevance for ASD: a 1q21.1 microdeletion (Dup7-non-ASD) and two deletions which …
The Costs Of Developing Treatments For Alzheimer’S Disease: A Retrospective Exploration, Jeffrey L. Cummings, Dana P. Goldman, Nicholas R. Simmons-Stern, Eric Ponton
The Costs Of Developing Treatments For Alzheimer’S Disease: A Retrospective Exploration, Jeffrey L. Cummings, Dana P. Goldman, Nicholas R. Simmons-Stern, Eric Ponton
School of Medicine Faculty Publications
Introduction: With the exception of the recent accelerated approval of aducanumab, in over 26 years of research and development (R&D) investment in Alzheimer's disease (AD), only five novel drugs—all for symptomatic treatment only—have reached FDA approval. Here, we estimate the costs of AD drug development during this period in the private sector. Methods: To estimate private R&D funding, we collected information on AD clinical trials (n = 1099; phases 1–4) conducted between January 1, 1995 and June 21, 2021 from various databases. Costs were derived using previously published methodologies and adjusted for inflation. Results: Since 1995, cumulative private expenditures on …
Estimating Progression Rates Across The Spectrum Of Alzheimer’S Disease For Amyloid-Positive Individuals Using National Alzheimer’S Coordinating Center Data, Michele Potashman, Marric Buessing, Mihaela Levitchi Benea, Jeffrey Cummings, Soo Borson, Peter Pemberton-Ross, Andrew J. Epstein
Estimating Progression Rates Across The Spectrum Of Alzheimer’S Disease For Amyloid-Positive Individuals Using National Alzheimer’S Coordinating Center Data, Michele Potashman, Marric Buessing, Mihaela Levitchi Benea, Jeffrey Cummings, Soo Borson, Peter Pemberton-Ross, Andrew J. Epstein
School of Medicine Faculty Publications
Introduction: Published estimates of Alzheimer’s disease (AD) progression do not capture the full disease continuum. This study provides transition probabilities of individuals with amyloid-β (Aβ+) pathology across the disease continuum. Methods: Patient-level longitudinal data from the National Alzheimer’s Coordinating Center were used to estimate progression rates. Progression rates through five clinically defined AD stages—asymptomatic, mild cognitive impairment due to AD (MCI-AD), mild AD dementia, moderate AD dementia, severe AD dementia—and death were measured as transition probabilities. Rates were assessed in “incident” patients who recently entered the stage, controlling for covariates. Transition probabilities were generated from multinomial logit regression models that …
Artificial Image Objects For Classification Of Schizophrenia With Gwas-Selected Snvs And Convolutional Neural Network, Xiangning Chen, Daniel G. Chen, Zhongming Zhao, Justin Zhan, Changrong Ji, Jingchun Chen
Artificial Image Objects For Classification Of Schizophrenia With Gwas-Selected Snvs And Convolutional Neural Network, Xiangning Chen, Daniel G. Chen, Zhongming Zhao, Justin Zhan, Changrong Ji, Jingchun Chen
School of Medicine Faculty Publications
In this article, we propose a new approach to analyze large genomics data. We considered individual genetic variants as pixels in an image and transformed a collection of variants into an artificial image object (AIO), which could be classified as a regular image by CNN algorithms. Using schizophrenia as a case study, we demonstrate the principles and their applications with 3 datasets. With 4,096 SNVs, the CNN models achieved an accuracy of 0.678 ± 0.007 and an AUC of 0.738 ± 0.008 for the diagnosis phenotype. With 44,100 SNVs, the models achieved class-specific accuracies of 0.806 ± 0.032 and 0.820 …
Developing Methods To Detect And Diagnose Chronic Traumatic Encephalopathy During Life: Rationale, Design, And Methodology For The Diagnose Cte Research Project, Jeffrey Cummings, Numerous Authors, See Full List Below
Developing Methods To Detect And Diagnose Chronic Traumatic Encephalopathy During Life: Rationale, Design, And Methodology For The Diagnose Cte Research Project, Jeffrey Cummings, Numerous Authors, See Full List Below
School of Medicine Faculty Publications
Background: Chronic traumatic encephalopathy (CTE) is a neurodegenerative disease that has been neuropathologically diagnosed in brain donors exposed to repetitive head impacts, including boxers and American football, soccer, ice hockey, and rugby players. CTE cannot yet be diagnosed during life. In December 2015, the National Institute of Neurological Disorders and Stroke awarded a seven-year grant (U01NS093334) to fund the “Diagnostics, Imaging, and Genetics Network for the Objective Study and Evaluation of Chronic Traumatic Encephalopathy (DIAGNOSE CTE) Research Project.” The objectives of this multicenter project are to: develop in vivo fluid and neuroimaging biomarkers for CTE; characterize its clinical presentation; refine …
Aducanumab Produced A Clinically Meaningful Benefit In Association With Amyloid Lowering, Jeffrey Cummings, Paul Aisen, Cynthia Lemere, Alireza Atri, Marwan Sabbagh, Stephen Salloway
Aducanumab Produced A Clinically Meaningful Benefit In Association With Amyloid Lowering, Jeffrey Cummings, Paul Aisen, Cynthia Lemere, Alireza Atri, Marwan Sabbagh, Stephen Salloway
School of Medicine Faculty Publications
No abstract provided.
Rewired Pathways And Disrupted Pathway Crosstalk In Schizophrenia Transcriptomes By Multiple Differential Coexpression Methods, Hui Yu, Yan Guo, Jingchun Chen, Xiangning Chen, Peilin Jia, Zhongming Zhao
Rewired Pathways And Disrupted Pathway Crosstalk In Schizophrenia Transcriptomes By Multiple Differential Coexpression Methods, Hui Yu, Yan Guo, Jingchun Chen, Xiangning Chen, Peilin Jia, Zhongming Zhao
School of Medicine Faculty Publications
Transcriptomic studies of mental disorders using the human brain tissues have been limited, and gene expression signatures in schizophrenia (SCZ) remain elusive. In this study, we applied three differential co-expression methods to analyze five transcriptomic datasets (three RNA-Seq and two microarray datasets) derived from SCZ and matched normal postmortem brain samples. We aimed to uncover biological pathways where internal correlation structure was rewired or intercoordination was disrupted in SCZ. In total, we identified 60 rewired pathways, many of which were related to neurotransmitter, synapse, immune, and cell adhesion. We found the hub genes, which were on the center of rewired …
Vitamin D3 Induces Mesenchymal-To-Endothelial Transition And Promotes A Proangiogenic Niche Through Igf-1 Signaling, Lei Chen, Anweshan Samanta, Lin Zhao, Nathaniel R. Dudley, Tanner Buehler, Robert J. Vincent, Jeryl Hauptman, Magdy Girgis, Buddhadeb Dawn
Vitamin D3 Induces Mesenchymal-To-Endothelial Transition And Promotes A Proangiogenic Niche Through Igf-1 Signaling, Lei Chen, Anweshan Samanta, Lin Zhao, Nathaniel R. Dudley, Tanner Buehler, Robert J. Vincent, Jeryl Hauptman, Magdy Girgis, Buddhadeb Dawn
School of Medicine Faculty Publications
Biological Sciences; Physiology; Molecular Biology; Cell Biology
A Randomized, Double-Blind, Phase 2b Proof-Of-Concept Clinical Trial In Early Alzheimer’S Disease With Lecanemab, An Anti-Aβ Protofibril Antibody, Chad J. Swanson, Yong Zhang, Shobha Dhadda, Jinping Wang, June Kaplow, Robert Y.K. Lai, Lars Lannfelt, Heather Bradley, Martin Rabe, Akihiko Koyama, Larisa Reyderman, Donald A. Berry, Scott Berry, Robert Gordon, Lynn D. Kramer, Jeffrey L. Cummings
A Randomized, Double-Blind, Phase 2b Proof-Of-Concept Clinical Trial In Early Alzheimer’S Disease With Lecanemab, An Anti-Aβ Protofibril Antibody, Chad J. Swanson, Yong Zhang, Shobha Dhadda, Jinping Wang, June Kaplow, Robert Y.K. Lai, Lars Lannfelt, Heather Bradley, Martin Rabe, Akihiko Koyama, Larisa Reyderman, Donald A. Berry, Scott Berry, Robert Gordon, Lynn D. Kramer, Jeffrey L. Cummings
School of Medicine Faculty Publications
Background: Lecanemab (BAN2401), an IgG1 monoclonal antibody, preferentially targets soluble aggregated amyloid beta (Aβ), with activity across oligomers, protofibrils, and insoluble fibrils. BAN2401-G000-201, a randomized double-blind clinical trial, utilized a Bayesian design with response-adaptive randomization to assess 3 doses across 2 regimens of lecanemab versus placebo in early Alzheimer’s disease, mild cognitive impairment due to Alzheimer’s disease (AD) and mild AD dementia. Methods: BAN2401-G000-201 aimed to establish the effective dose 90% (ED90), defined as the simplest dose that achieves ≥90% of the maximum treatment effect. The primary endpoint was Bayesian analysis of 12-month clinical change on the Alzheimer’s Disease Composite …
Validation Of Induced Microglia-Like Cells (Img Cells) For Future Studies Of Brain Diseases, Atoshi Banerjee, Yimei Lu, Kenny Do, Travis Mize, Xiaogang Wu, Xiangning Chen, Jingchun Chen
Validation Of Induced Microglia-Like Cells (Img Cells) For Future Studies Of Brain Diseases, Atoshi Banerjee, Yimei Lu, Kenny Do, Travis Mize, Xiaogang Wu, Xiangning Chen, Jingchun Chen
School of Medicine Faculty Publications
Microglia are the primary resident immune cells of the central nervous system that maintain physiological homeostasis in the brain and contribute to the pathogenesis of many psychiatric disorders and neurodegenerative diseases. Due to the lack of appropriate human cellular models, it is difficult to study the basic pathophysiological processes linking microglia to brain diseases. In this study, we adopted a microglia-like cellular model derived from peripheral blood monocytes with granulocyte-macrophage colony-stimulating factor (GM-CSF) and interleukin-34 (IL-34). We characterized and validated this in vitro cellular model by morphology, immunocytochemistry, gene expression profiles, and functional study. Our results indicated that the iMG …
Machine Learning Approaches For The Prediction Of Bone Mineral Density By Using Genomic And Phenotypic Data Of 5130 Older Men, Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han, Robert A. Greenes, Kenneth G. Saag
Machine Learning Approaches For The Prediction Of Bone Mineral Density By Using Genomic And Phenotypic Data Of 5130 Older Men, Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han, Robert A. Greenes, Kenneth G. Saag
School of Medicine Faculty Publications
The study aimed to utilize machine learning (ML) approaches and genomic data to develop a prediction model for bone mineral density (BMD) and identify the best modeling approach for BMD prediction. The genomic and phenotypic data of Osteoporotic Fractures in Men Study (n = 5130) was analyzed. Genetic risk score (GRS) was calculated from 1103 associated SNPs for each participant after a comprehensive genotype imputation. Data were normalized and divided into a training set (80%) and a validation set (20%) for analysis. Random forest, gradient boosting, neural network, and linear regression were used to develop BMD prediction models separately. Ten-fold …
Multimodal Single-Cell/Nucleus Rna Sequencing Data Analysis Uncovers Molecular Networks Between Disease-Associated Microglia And Astrocytes With Implications For Drug Repurposing In Alzheimer’S Disease, Jielin Xu, Pengyue Zhang, Yin Huang, Yadi Zhou, Yuan Hou, Lynn M. Bekris, Justin Lathia, Chien-Wei Chiang, Lang Li, Andrew A. Pieper, James B. Leverenz, Jeffrey Cummings, Feixiong Cheng
Multimodal Single-Cell/Nucleus Rna Sequencing Data Analysis Uncovers Molecular Networks Between Disease-Associated Microglia And Astrocytes With Implications For Drug Repurposing In Alzheimer’S Disease, Jielin Xu, Pengyue Zhang, Yin Huang, Yadi Zhou, Yuan Hou, Lynn M. Bekris, Justin Lathia, Chien-Wei Chiang, Lang Li, Andrew A. Pieper, James B. Leverenz, Jeffrey Cummings, Feixiong Cheng
School of Medicine Faculty Publications
Because disease-associated microglia (DAM) and disease-associated astrocytes (DAA) are involved in the pathophysiology of Alzheimer's disease (AD), we systematically identified molecular networks between DAM and DAA to uncover novel therapeutic targets for AD. Specifically, we develop a network-based methodology that leverages single-cell/nucleus RNA sequencing data from both transgenic mouse models and AD patient brains, as well as drug-target network, metaboliteenzyme associations, the human protein-protein interactome, and large-scale longitudinal patient data. Through this approach, we find both common and unique gene network regulators between DAM (i.e., PAK1, MAPK14, and CSF1R) and DAA (i.e., NFKB1, FOS, and JUN) that are significantly enriched …
A Conformation Variant Of P53 Combined With Machine Learning Identifies Alzheimer Disease In Preclinical And Prodromal Stages, Giulia Abate, Marika Vezzoli, Letizia Polito, Antonio Guaita, Diego Albani, Moira Marizzoni, Emirena Garrafa, Alessandra Marengoni, Gianluigi Forloni, Giovanni B. Frisoni, Jeffrey L. Cummings, Maurizio Memo, Daniela Uberti
A Conformation Variant Of P53 Combined With Machine Learning Identifies Alzheimer Disease In Preclinical And Prodromal Stages, Giulia Abate, Marika Vezzoli, Letizia Polito, Antonio Guaita, Diego Albani, Moira Marizzoni, Emirena Garrafa, Alessandra Marengoni, Gianluigi Forloni, Giovanni B. Frisoni, Jeffrey L. Cummings, Maurizio Memo, Daniela Uberti
School of Medicine Faculty Publications
© 2020 by the authors. Li-censee MDPI, Basel, Switzerland. Early diagnosis of Alzheimer’s disease (AD) is a crucial starting point in disease man-agement. Blood-based biomarkers could represent a considerable advantage in providing AD-risk information in primary care settings. Here, we report new data for a relatively unknown blood-based biomarker that holds promise for AD diagnosis. We evaluate a p53-misfolding conformation rec-ognized by the antibody 2D3A8, also named Unfolded p53 (U-p532D3A8+), in 375 plasma samples derived from InveCe.Ab and PharmaCog/E-ADNI longitudinal studies. A machine learning approach is used to combine U-p532D3A8+ plasma levels with Mini-Mental State Examination (MMSE) and apolipoprotein E …
Spatial Patterns Of Correlation Between Cortical Amyloid And Cortical Thickness In A Tertiary Clinical Population With Memory Deficit, Jagan A. Pillai, Mykol Larvie, Jacqueline Chen, Anna Crawford, Jeffery L. Cummings, Stephen E. Jones
Spatial Patterns Of Correlation Between Cortical Amyloid And Cortical Thickness In A Tertiary Clinical Population With Memory Deficit, Jagan A. Pillai, Mykol Larvie, Jacqueline Chen, Anna Crawford, Jeffery L. Cummings, Stephen E. Jones
School of Medicine Faculty Publications
© 2020, The Author(s). To estimate regional Alzheimer disease (AD) pathology burden clinically, analysis methods that enable tracking brain amyloid or tau positron emission tomography (PET) with magnetic resonance imaging (MRI) measures are needed. We therefore developed a robust MRI analysis method to identify brain regions that correlate linearly with regional amyloid burden in congruent PET images. This method was designed to reduce data variance and improve the sensitivity of the detection of cortical thickness–amyloid correlation by using whole brain modeling, nonlinear image coregistration, and partial volume correction. Using this method, a cross-sectional analysis of 75 tertiary memory clinic AD …
Associations Of Dietary Bioactive Compounds With Maternal Adiposity And Inflammation In Gestational Diabetes: An Update On Observational And Clinical Studies, Dustin W. Davis, Jeannette Crew, Petar Planinic, James M. Alexander, Arpita Basu
Associations Of Dietary Bioactive Compounds With Maternal Adiposity And Inflammation In Gestational Diabetes: An Update On Observational And Clinical Studies, Dustin W. Davis, Jeannette Crew, Petar Planinic, James M. Alexander, Arpita Basu
School of Medicine Faculty Publications
Gestational diabetes mellitus (GDM) is a common complication of pregnancy that adversely affects maternal and offspring health. Maternal obesity, oxidative stress, and inflammation have been implicated in GDM. In non-pregnant adults, intakes of dietary bioactive compounds inversely associate with insulin resistance and inflammation. However, associations of dietary bioactive compounds with biomarkers of adiposity, antioxidant vitamin and mineral status, oxidative stress, and inflammation in GDM have not been fully elucidated. We addressed this gap by conducting a semi-quantitative review of observational studies and randomized controlled trials published between 2010 and 2020 and retrieved from Google Scholar, Medline, and PubMed. Our analysis …
Comatose Within 6 Weeks, But Still Alive After 3 Years, Creutzfeldt‐Jakob Disease With Unusual Progression, Julia Kathleen Christopher, Brian Khong, Amin Abolfazli, Antonio Liu
Comatose Within 6 Weeks, But Still Alive After 3 Years, Creutzfeldt‐Jakob Disease With Unusual Progression, Julia Kathleen Christopher, Brian Khong, Amin Abolfazli, Antonio Liu
School of Medicine Faculty Publications
Creutzfeldt‐Jakob disease (CJD) should still be considered in a patient presenting with rapidly progressive dementia and negative CSF 14‐3‐3 protein and RT‐QulC. Treatable causes of encephalopathy must be ruled out. Neurodegenerative diseases must also be considered.
New Approaches To Symptomatic Treatments For Alzheimer’S Disease, Jeffrey Cummings
New Approaches To Symptomatic Treatments For Alzheimer’S Disease, Jeffrey Cummings
School of Medicine Faculty Publications
Background: Successful development of agents that improve cognition and behavior in Alzheimer’s disease (AD) is critical to improving the lives of patients manifesting the symptoms of this progressive disorder. Discussion: There have been no recent approvals of cognitive enhancing agents for AD. There are currently 6 cognitive enhancers in Phase 2 trials and 4 in phase 3. They represent a variety of novel mechanisms. There has been progress in developing new treatments for neuropsychiatric symptoms in AD with advances in treatment of insomnia, psychosis, apathy, and agitation in AD. There are currently 4 AD-related psychotropic agents in Phase 2 trials …
Alzheimer's Disease Drug Development Pipeline: 2020, Jeffrey Cummings, Garam Lee, Aaron Ritter, Marwan Sabbagh, Kate Zhong
Alzheimer's Disease Drug Development Pipeline: 2020, Jeffrey Cummings, Garam Lee, Aaron Ritter, Marwan Sabbagh, Kate Zhong
School of Medicine Faculty Publications
© 2020 The Authors. Alzheimer's & Dementia: Translational Research & Clinical Interventions published by Wiley Periodicals, Inc. on behalf of Alzheimer's Association. Introduction: Alzheimer's disease (AD) is a growing public health concern affecting millions of patients worldwide and costing billions of dollars annually. We review the pipeline of drugs and biologics in clinical trials for the treatment of AD. We use the Common Alzheimer's and Related Dementias Research Ontology (CADRO) to classify treatment targets and mechanisms of action. We review our annual pipeline reports for the past 5 years to provide longitudinal insight into clinical trials and drug development for …
Cognitively Normal Women With Alzheimer’S Disease Proteinopathy Show Relative Preservation Of Memory But Not Of Hippocampal Volume, Jessica Z.K. Caldwell, Jeffrey L. Cummings, Sarah J. Banks, Sebastian Palmqvist, Oskar Hansson
Cognitively Normal Women With Alzheimer’S Disease Proteinopathy Show Relative Preservation Of Memory But Not Of Hippocampal Volume, Jessica Z.K. Caldwell, Jeffrey L. Cummings, Sarah J. Banks, Sebastian Palmqvist, Oskar Hansson
School of Medicine Faculty Publications
Background: We examined interactive effects of sex, diagnosis, and cerebrospinal fluid (CSF) amyloid beta/phosphorylated tau ratio (Aβ/P-tau) on verbal memory and hippocampal volumes. Methods: We assessed 682 participants (350 women) from BioFINDER (250 cognitively normal [CN]; and 432 symptomatic: 186 subjective cognitive decline [SCD], 246 mild cognitive impairment [MCI]). General linear models evaluated effects of Alzheimer’s disease (AD) proteinopathy (CSF Aß/p-tau ratio), diagnosis, and sex on verbal memory (ADAS-cog 10-word recall), semantic fluency (animal naming fluency), visuospatial skills (cube copy), processing speed/attention functions (Symbol Digit Modalities Test and Trail Making Part A), and hippocampal volumes. Results: Amyloid-positive (Aβ/P-tau+) CN women …
Biological And Practical Implications Of Genome-Wide Association Study Of Schizophrenia Using Bayesian Variable Selection, Benazir Rowe, Xiangning Chen, Zuoheng Wang, Jingchun Chen, Amei Amei
Biological And Practical Implications Of Genome-Wide Association Study Of Schizophrenia Using Bayesian Variable Selection, Benazir Rowe, Xiangning Chen, Zuoheng Wang, Jingchun Chen, Amei Amei
School of Medicine Faculty Publications
Genome-wide association studies (GWAS) have identified over 100 loci associated with schizophrenia. Most of these studies test genetic variants for association one at a time. In this study, we performed GWAS of the molecular genetics of schizophrenia (MGS) dataset with 5334 subjects using multivariate Bayesian variable selection (BVS) method Posterior Inference via Model Averaging and Subset Selection (piMASS) and compared our results with the previous univariate analysis of the MGS dataset. We showed that piMASS can improve the power of detecting schizophrenia-associated SNPs, potentially leading to new discoveries from existing data without increasing the sample size. We tested SNPs in …
A Frameshift Variant In The Chst9 Gene Identified By Family-Based Whole Genome Sequencing Is Associated With Schizophrenia In Chinese Population, Jingchun Chen, Jain-Shing Wu, Travis Mize, Marvi Moreno, Mahtab Hamid, Francisco Servin, Bita Bashy, Zhongming Zhao, Peilin Jia, Ming T. Tsuang, Kenneth S. Kendler, Momiao Xiong, Xiangning Chen
A Frameshift Variant In The Chst9 Gene Identified By Family-Based Whole Genome Sequencing Is Associated With Schizophrenia In Chinese Population, Jingchun Chen, Jain-Shing Wu, Travis Mize, Marvi Moreno, Mahtab Hamid, Francisco Servin, Bita Bashy, Zhongming Zhao, Peilin Jia, Ming T. Tsuang, Kenneth S. Kendler, Momiao Xiong, Xiangning Chen
School of Medicine Faculty Publications
Recent studies imply that rare variants contribute to the risk of schizophrenia, however, the exact variants or genes responsible for this condition are largely unknown. In this study, we conducted whole genome sequencing (WGS) of 20 Chinese families. Each family consisted of at least two affected siblings diagnosed with schizophrenia and at least one unaffected sibling. We examined functional variants that were found in affected sibling(s) but not in unaffected sibling(s) within a family. Matching this criterion, a frameshift heterozygous deletion of CA (–/CA) at chromosome 18:24722722, also referred to as rs752084147, in the Carbohydrate Sulfotransferase 9 (CHST9) gene, was …
Sex Moderates Amyloid And Apolipoprotein Ε4 Effects On Default Mode Network Connectivity At Rest, Jessica Z.K. Caldwell, Xiaowei Zhuang, Mackenzie J. Leavitt, Sarah J. Banks, Jeffery Cummings, Dietmar Cordes
Sex Moderates Amyloid And Apolipoprotein Ε4 Effects On Default Mode Network Connectivity At Rest, Jessica Z.K. Caldwell, Xiaowei Zhuang, Mackenzie J. Leavitt, Sarah J. Banks, Jeffery Cummings, Dietmar Cordes
School of Medicine Faculty Publications
Women are more likely to have Alzheimer's disease (AD) and decline more rapidly once diagnosed despite greater verbal memory early in the disease compared to men—an advantage that has been termed “memory reserve.” Resting state functional MRI (fMRI) investigations demonstrate interactions between sex and AD risk factors in default mode network (DMN) connectivity, a network of brain regions showing progressive dysfunction in AD. Separate work suggests connectivity of left prefrontal cortex (PFC) may correlate with more general cognitive reserve in healthy aging. It is unknown whether left prefrontal functional connectivity with anterior and posterior default mode network (aDMN, pDMN) might …
Souvenaid In The Management Of Mild Cognitive Impairment: An Expert Consensus Opinion, Jeffrey Cummings, Peter Passmore, Bernadette Mcguinness, Vincent Mok, Christopher Chen, Sebastiaan Engelborghs, Michael Woodward, Sagrario Manzano, Guillermo Garcia-Ribas, Stefano Cappa, Paulo Bertolucci, Leung-Wing Chu
Souvenaid In The Management Of Mild Cognitive Impairment: An Expert Consensus Opinion, Jeffrey Cummings, Peter Passmore, Bernadette Mcguinness, Vincent Mok, Christopher Chen, Sebastiaan Engelborghs, Michael Woodward, Sagrario Manzano, Guillermo Garcia-Ribas, Stefano Cappa, Paulo Bertolucci, Leung-Wing Chu
School of Medicine Faculty Publications
Background Mild cognitive impairment (MCI) among an aging global population is a growing challenge for healthcare providers and payers. In many cases, MCI is an ominous portent for dementia. Early and accurate diagnosis of MCI provides a window of opportunity to improve the outcomes using a personalized care plan including lifestyle modifications to reduce the impact of modifiable risk factors (for example, blood pressure control and increased physical activity), cognitive training, dietary advice, and nutritional support. Souvenaid is a once-daily drink containing a mixture of precursors and cofactors (long-chain omega-3 fatty acids, uridine, choline, B vitamins, vitamin C, vitamin E, …
Lumen Apposing Metal Stents In Drainage Of Pancreatic Walled-Off Necrosis, Are They Any Better Than Plastic Stents? A Systematic Review And Meta-Analysis Of Studies Published Since The Revised Atlanta Classification Of Pancreatic Fluid Collections, Babu P. Mohan, Mahendran Jayaraj, Ravishankar Asokkumar, Mohammed Shakhatreh, Parul Pahal, Suresh Ponnada, Udayakumar Navaneethan, Douglas G. Adler
Lumen Apposing Metal Stents In Drainage Of Pancreatic Walled-Off Necrosis, Are They Any Better Than Plastic Stents? A Systematic Review And Meta-Analysis Of Studies Published Since The Revised Atlanta Classification Of Pancreatic Fluid Collections, Babu P. Mohan, Mahendran Jayaraj, Ravishankar Asokkumar, Mohammed Shakhatreh, Parul Pahal, Suresh Ponnada, Udayakumar Navaneethan, Douglas G. Adler
School of Medicine Faculty Publications
Lumen-apposing metal stents (LAMS) are increasingly being used in the drainage of pancreatic walled-off necrosis (WON). Best choice of stent is subject to argument, and studies are varied in the reported outcomes between LAMS and plastic stents (PS) to this end. We conducted a comprehensive search of multiple electronic databases and conference proceedings including PubMed, EMBASE, and Web of Science databases (earliest inception through July 2018) to identify studies that reported on the use of LAMS and PS in WON drainage. Studies published since the release of the revised Atlanta classification for pancreatic fluid collections (2014 to current) were included …
Environmental Effects On Drosophila Brain Development And Learning, Xia Wang, Amei Amei, J. Steven De Belle, Stephen P. Roberts
Environmental Effects On Drosophila Brain Development And Learning, Xia Wang, Amei Amei, J. Steven De Belle, Stephen P. Roberts
School of Medicine Faculty Publications
Brain development and behavior are sensitive to a variety of environmental influences including social interactions and physicochemical stressors. Sensory input in situ is a mosaic of both enrichment and stress, yet little is known about how multiple environmental factors interact to affect brain anatomical structures, circuits and cognitive function. In this study, we addressed these issues by testing the individual and combined effects of sub-adult thermal stress, larval density and early-adult living spatial enrichment on brain anatomy and olfactory associative learning in adult Drosophila melanogaster. In response to heat stress, the mushroom bodies (MBs) were the most volumetrically impaired among …