4.1 Article

Seroprevalence and Serointensity of Latent Toxoplasma gondii in a Sample of Elderly Adults With and Without Alzheimer Disease

期刊

ALZHEIMER DISEASE & ASSOCIATED DISORDERS
卷 30, 期 2, 页码 123-126

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/WAD.0000000000000108

关键词

Alzheimer disease; Toxoplasma gondii; toxoplasmosis; neurodegeneration

向作者/读者索取更多资源

Introduction: Latent infection with Toxoplasma gondii has been associated with behavioral and cognitive changes in animal models and in humans. Early findings have suggested an association between latent toxoplasmosis and Alzheimer disease (AD). On the basis of these factors, we sought to determine whether there is an association between latent toxoplasmosis and AD using a large, well-characterized sample of subjects with AD and age-matched and sex-matched controls without dementia. Methods: Using ELISA, we determined anti-T. gondii IgG antibody titers in 114 control subjects and in 105 subjects diagnosed with AD through an Alzheimer's Disease Research Center. Results: There were no group differences between groups in age, ethnicity, or sex. Education and socioeconomic status was slightly higher in the control group. Neither the prevalence of anti-T. gondii IgG antibodies (33% in the nondemented control group compared with 41% in the AD group, P= 0.25) nor log-transformed antibody concentration (106.6 IU/mL in the control group compared with 140.9 IU/mL in the AD group, P= 0.85) differed between the control and AD groups. Discussion: In this sample, we found neither a higher prevalence of latent toxoplasmosis in the AD group compared with the control group nor differences in serum anti-T. gondii IgG titers between groups.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Clinical Neurology

Analysis of high-risk pedigrees identifies 12 candidate variants for Alzheimer's disease

Craig C. Teerlink, Justin B. Miller, Elizabeth L. Vance, Lyndsay A. Staley, Jeffrey Stevens, Justina P. Tavana, Matthew E. Cloward, Madeline L. Page, Louisa Dayton, Lisa A. Cannon-Albright, John S. K. Kauwe

Summary: Analysis of high-risk pedigrees can effectively detect rare predisposition variants, with potential AD risk genes identified such as ABCA7 and TTR, as well as further validation of NOTCH3 variants. The study prioritizes seven additional candidate variants for further investigation.

ALZHEIMERS & DEMENTIA (2022)

Article Genetics & Heredity

De novo genome assembly of the marine teleost, bluefin trevally (Caranx melampygus)

Brandon D. Pickett, Jessica R. Glass, Perry G. Ridge, John S. K. Kauwe

Summary: The study presents a high-quality nuclear genome assembly of a Hawaiian bluefin trevally, which will serve as a valuable resource for population genetic studies of bluefin trevally populations. The assembly was used to implement a multiple sequentially Markovian coalescent model to estimate population expansion within the species.

G3-GENES GENOMES GENETICS (2021)

Article Neurosciences

Analysis of genes (TMEM106B, GRN, ABCC9, KCNMB2, and APOE) implicated in risk for LATE-NC and hippocampal sclerosis provides pathogenetic insights: a retrospective genetic association study

Adam J. Dugan, Peter T. Nelson, Yuriko Katsumata, Lincoln M. P. Shade, Kevin L. Boehme, Merilee A. Teylan, Matthew D. Cykowski, Shubhabrata Mukherjee, John S. K. Kauwe, Timothy J. Hohman, Julie A. Schneider, David W. Fardo

Summary: Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) is one of the most common subtypes of TDP-43 proteinopathy, often co-occurring with hippocampal sclerosis (HS) pathology, and showing associations with specific genetic variants. Through analyzing the genetic associations with HS, LATE-NC, and Alzheimer's pathologies, significant gene-based associations were found, offering new insights into the differential effects of risk alleles on LATE-NC and HS.

ACTA NEUROPATHOLOGICA COMMUNICATIONS (2021)

Editorial Material Medicine, General & Internal

Knowledge Gaps, Challenges, and Opportunities in Health and Prevention Research for Asian Americans, Native Hawaiians, and Pacific Islanders: A Report From the 2021 National Institutes of Health Workshop

Alka M. Kanaya, Ann W. Hsing, Sela Panapasa, Namratha R. Kandula, Maria Rosario G. Araneta, Daichi Shimbo, Paul Wang, Scarlett L. Gomez, Jinkook Lee, K. M. Venkat Narayan, Marjorie K. L. Mala Mau, Sonali Bose, Martha L. Daviglus, Frank B. Hu, Nadia Islam, Chandra L. Jackson, Merle Kataoka-Yahiro, John S. K. Kauwe, Simin Liu, Grace X. Ma, Tung Nguyen, Latha Palaniappan, V. Wendy Setiawan, Chau Trinh-Shevrin, Janice Y. Tsoh, Dhananjay Vaidya, Barbara Vickrey, Thomas J. Wang, Nathan D. Wong, Sean Coady, Yuling Hong

Summary: Asian Americans, Native Hawaiians, and Pacific Islanders play a significant role in the U.S. population, yet research on these populations has been limited, with aggregated data masking important health disparities. A multidisciplinary workshop in 2021 highlighted the need for more data, collaborations, and investments to strengthen research efforts for prevention and intervention strategies.

ANNALS OF INTERNAL MEDICINE (2022)

Article Endocrinology & Metabolism

Genome-wide association study of brain arteriolosclerosis

Lincoln M. P. Shade, Yuriko Katsumata, Timothy J. Hohman, Kwangsik Nho, Andrew J. Saykin, Shubhabrata Mukherjee, Kevin L. Boehme, John S. K. Kauwe, Lindsay A. Farrer, Gerard D. Schellenberg, Jonathan L. Haines, Richard P. Mayeux, Julie A. Schneider, Peter T. Nelson, David W. Fardo

Summary: This study identified putative loci associated with the risk of brain arteriolosclerosis (B-ASC) through a genome-wide association study. The findings provide clues for further understanding the genetic mechanism of B-ASC.

JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM (2022)

Article Genetics & Heredity

Pairwise Correlation Analysis of the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation

Erik D. Huckvale, Matthew W. Hodgman, Brianna B. Greenwood, Devorah O. Stucki, Katrisa M. Ward, Mark T. W. Ebbert, John S. K. Kauwe, Justin B. Miller

Summary: The study used machine learning algorithms to evaluate the onset and progression of Alzheimer's disease, finding that highly correlated input features can impact model generalizability and performance. A large proportion of biomarkers, gene expression values, and MRI features in the ADNI dataset were strongly correlated with each other, emphasizing the need to address this issue before bulk data analyses.
Article Genetics & Heredity

New insights into the genetic etiology of Alzheimer's disease and related dementias

Celine Bellenguez, Fahri Kucukali, Iris E. Jansen, Luca Kleineidam, Sonia Moreno-Grau, Najaf Amin, Adam C. Naj, Rafael Campos-Martin, Benjamin Grenier-Boley, Victor Andrade, Peter A. Holmans, Anne Boland, Vincent Damotte, Sven J. van der Lee, Marcos R. Costa, Teemu Kuulasmaa, Qiong Yang, Itziar De Rojas, Joshua C. Bis, Amber Yaqub, Ivana Prokic, Julien Chapuis, Shahzad Ahmad, Vilmantas Giedraitis, Dag Aarsland, Pablo Garcia-Gonzalez, Carla Abdelnour, Emilio Alarcon-Martin, Daniel Alcolea, Montserrat Alegret, Ignacio Alvarez, Victoria Alvarez, Nicola J. Armstrong, Anthoula Tsolaki, Carmen Antunez, Ildebrando Appollonio, Marina Arcaro, Silvana Archetti, Alfonso Arias Pastor, Beatrice Arosio, Lavinia Athanasiu, Henri Bailly, Nerisa Banaj, Miquel Baquero, Sandra Barral, Alexa Beiser, Ana Belen Pastor, Jennifer E. Below, Penelope Benchek, Luisa Benussi, Claudine Berr, Celine Besse, Valentina Bessi, Giuliano Binetti, Alessandra Bizarro, Rafael Blesa, Merce Boada, Eric Boerwinkle, Barbara Borroni, Silvia Boschi, Paola Bossu, Geir Brathen, Jan Bressler, Catherine Bresner, Henry Brodaty, Keeley J. Brookes, Luis Ignacio Brusco, Dolores Buiza-Rueda, Katharina Burger, Vanessa Burholt, William S. Bush, Miguel Calero, Laura B. Cantwell, Genevieve Chene, Jaeyoon Chung, Michael L. Cuccaro, Roberta Cecchetti, Laura Cervera-Carles, Camille Charbonnier, Hung-Hsin Chen, Caterina Chillotti, Simona Ciccone, Jurgen A. H. R. Claassen, Christopher Clark, Elisa Conti, Anais Corma-Gomez, Emanuele Costantini, Carlo Custodero, Delphine Daian, Maria Carolina Dalmasso, Antonio Daniele, Efthimios Dardiotis, Jean-Francois Dartigues, Peter Paul de Deyn, Katia de Paiva Lopes, Lot D. De Witte, Stephanie Debette, Jurgen Deckert, Teodoro del Ser, Nicola Denning, Anita Destefano, Martin Dichgans, Janine Diehl-Schmid, Monica Diez-Fairen, Paolo Dionigi Rossi, Srdjan Djurovic, Emmanuelle Duron, Emrah Duzel, Carole Dufouil, Gudny Eiriksdottir, Sebastiaan Engelborghs, Valentina Escott-Price, Ana Espinosa, Michael Ewers, Kelley M. Faber, Tagliavini Fabrizio, Sune Fallgaard Nielsen, David W. Fardo, Lucia Farotti, Chiara Fenoglio, Marta Fernandez-Fuertes, Raffaele Ferrari, Catarina B. Ferreira, Evelyn Ferri, Bertrand Fin, Peter Fischer, Tormod Fladby, Klaus Fliessbach, Bernard Fongang, Myriam Fornage, Juan Fortea, Tatiana M. Foroud, Silvia Fostinelli, Nick C. Fox, Emlio Franco-Macias, Maria J. Bullido, Ana Frank-Garcia, Lutz Froelich, Brian Fulton-Howard, Daniela Galimberti, Jose Maria Garcia-Alberca, Sebastian Garcia-Madrona, Guillermo Garcia-Ribas, Roberta Ghidoni, Ina Giegling, Giaccone Giorgio, Alison M. Goate, Oliver Goldhardt, Duber Gomez-Fonseca, Antonio Gonzalez-Perez, Caroline Graff, Giulia Grande, Emma Green, Timo Grimmer, Edna Grunblatt, Michelle Grunin, Vilmundur Gudnason, Tamar Guetta-Baranes, Annakaisa Haapasalo, Georgios Hadjigeorgiou, Jonathan L. Haines, Kara L. Hamilton-Nelson, Harald Hampel, Olivier Hanon, John Hardy, Annette M. Hartmann, Lucrezia Hausner, Janet Harwood, Stefanie Heilmann-Heimbach, Seppo Helisalmi, Michael T. Heneka, Isabel Hernandez, Martin J. Herrmann, Per Hoffmann, Clive Holmes, Henne Holstege, Raquel Huerto Vilas, Marc Hulsman, Jack Humphrey, Geert Jan Biessels, Xueqiu Jian, Charlotte Johansson, Gyungah R. Jun, Yuriko Kastumata, John Kauwe, Patrick G. Kehoe, Lena Kilander, Anne Kinhult Stahlbom, Miia Kivipelto, Anne Koivisto, Johannes Kornhuber, Mary H. Kosmidis, Walter A. Kukull, Pavel P. Kuksa, Brian W. Kunkle, Amanda B. Kuzma, Carmen Lage, Erika J. Laukka, Lenore Launer, Alessandra Lauria, Chien-Yueh Lee, Jenni Lehtisalo, Ondrej Lerch, Alberto Lleo, William Longstreth, Oscar Lopez, Adolfo Lopez de Munain, Seth Love, Malin Lowemark, Lauren Luckcuck, Kathryn L. Lunetta, Yiyi Ma, Juan Macias, Catherine A. Macleod, Wolfgang Maier, Francesca Mangialasche, Marco Spallazzi, Marta Marquie, Rachel Marshall, Eden R. Martin, Angel Martin Montes, Carmen Martinez Rodriguez, Carlo Masullo, Richard Mayeux, Simon Mead, Patrizia Mecocci, Miguel Medina, Alun Meggy, Shima Mehrabian, Silvia Mendoza, Manuel Menendez-Gonzalez, Pablo Mir, Susanne Moebus, Merel Mol, Laura Molina-Porcel, Laura Montrreal, Laura Morelli, Fermin Moreno, Kevin Morgan, Thomas Mosley, Markus M. Nothen, Carolina Muchnik, Shubhabrata Mukherjee, Benedetta Nacmias, Tiia Ngandu, Gael Nicolas, Borge G. Nordestgaard, Robert Olaso, Adelina Orellana, Michela Orsini, Gemma Ortega, Alessandro Padovani, Caffarra Paolo, Goran Papenberg, Lucilla Parnetti, Florence Pasquier, Pau Pastor, Gina Peloso, Alba Perez-Cordon, Jordi Perez-Tur, Pierre Pericard, Oliver Peters, Yolande A. L. Pijnenburg, Juan A. Pineda, Gerard Pinol-Ripoll, Laudia Pisanu, Thomas Polak, Julius Popp, Danielle Posthuma, Josef Priller, Raquel Puerta, Olivier Quenez, Ines Quintela, Jesper Qvist Thomassen, Alberto Rabano, Innocenzo Rainero, Farid Rajabli, Inez Ramakers, Luis M. Real, Marcel J. T. Reinders, Christiane Reitz, Dolly Reyes-Dumeyer, Perry Ridge, Steffi Riedel-Heller, Peter Riederer, Natalia Roberto, Eloy Rodriguez-Rodriguez, Arvid Rongve, Irene Rosas Allende, Maitee Rosende-Roca, Jose Luis Royo, Elisa Rubino, Dan Rujescu, Maria Eugenia Saez, Paraskevi Sakka, Ingvild Saltvedt, Maria Bernal Sanchez-Arjona, Florentino Sanchez-Garcia, Pascual Sanchez Juan, Raquel Sanchez-Valle, Sigrid B. Sando, Chloe Sarnowski, Claudia L. Satizabal, Michela Scamosci, Nikolaos Scarmeas, Elio Scarpini, Philip Scheltens, Norbert Scherbaum, Martin Scherer, Matthias Schmid, Anja Schneider, Jonathan M. Schott, Geir Selbaek, Davide Seripa, Manuel Serrano, Jin Sha, Alexey A. Shadrin, Olivia Skrobot, Susan Slifer, Gijsje J. L. Snijders, Hilkka Soininen, Vincenzo Solfrizzi, Alina Solomon, Yeunjoo Song, Sandro Sorbi, Oscar Sotolongo-Grau, Gianfranco Spalletta, Annika Spottke, Alessio Squassina, Eystein Stordal, Juan Pablo Tartan, Lluis Tarraga, Niccolo Tesi, Anbupalam Thalamuthu, Tegos Thomas, Giuseppe Tosto, Latchezar Traykov, Lucio Tremolizzo, Anne Tybjaerg-Hansen, Andre Uitterlinden, Abbe Ullgren, Ingun Ulstein, Sergi Valero, Otto Valladares, Christine Van Broeckhoven, Jeffery Vance, Badri N. Vardarajan, Aad van der Lugt, Jasper Van Dongen, Jeroen van Rooij, John van Swieten, Rik Vandenberghe, Frans Verhey, Jean-Sebastien Vidal, Jonathan Vogelgsang, Martin Vyhnalek, Michael Wagner, David Wallon, Li-San Wang, Ruiqi Wang, Leonie Weinhold, Jens Wiltfang, Gill Windle, Bob Woods, Mary Yannakoulia, Habil Zare, Yi Zhao, Xiaoling Zhang, Congcong Zhu, Miren Zulaica, Lindsay A. Farrer, Bruce M. Psaty, Mohsen Ghanbari, Towfique Raj, Perminder Sachdev, Karen Mather, Frank Jessen, M. Arfan Ikram, Alexandre de Mendonca, Jakub Hort, Magda Tsolaki, Margaret A. Pericak-Vance, Philippe Amouyel, Julie Williams, Ruth Frikke-Schmidt, Jordi Clarimon, Jean-Francois Deleuze, Giacomina Rossi, Sudha Seshadri, Ole A. Andreassen, Martin Ingelsson, Mikko Hiltunen, Kristel Sleegers, Gerard D. Schellenberg, Cornelia M. van Duijn, Rebecca Sims, Wiesje M. van der Flier, Agustin Ruiz, Alfredo Ramirez, Jean-Charles Lambert

Summary: By characterizing the genetic landscape of Alzheimer's disease and related dementias, new loci have been identified and a new genetic risk score associated with the risk of future Alzheimer's disease and dementia has been generated.

NATURE GENETICS (2022)

Article Geriatrics & Gerontology

Association between WWOX/MAF variants and dementia-related neuropathologic endophenotypes

Adam J. Dugan, Peter T. Nelson, Yuriko Katsumata, Lincoln M. P. Shade, Merilee A. Teylan, Kevin L. Boehme, Shubhabrata Mukherjee, John S. K. Kauwe, Timothy J. Hohman, Julie A. Schneider, David W. Fardo

Summary: The genetic locus containing the WWOX and MAF genes is implicated in neurological changes, specifically limbic-predominant age-related TDP-43 encephalopathy neuropathological changes, hippocampal sclerosis, and brain arteriolosclerosis, but not with Alzheimer's disease neuropathological changes.

NEUROBIOLOGY OF AGING (2022)

Article Genetics & Heredity

Web-Based Protein Interactions Calculator Identifies Likely Proteome Coevolution with Alzheimer's Disease-Associated Proteins

Katrisa M. Ward, Brandon D. Pickett, Mark T. W. Ebbert, John S. K. Kauwe, Justin B. Miller

Summary: This study developed a Protein Interactions Calculator (PIC) that efficiently identifies coevolving residues between two protein sequences using mutual information. The PIC can be used to prioritize potential protein interactions, leading to a better understanding of biological processes and additional therapeutic targets belonging to protein interaction groups.
Article Biology

The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores

Madeline L. Page, Elizabeth L. Vance, Matthew E. Cloward, Ed Ringger, Louisa Dayton, Mark T. W. Ebbert, Justin B. Miller, John S. K. Kauwe

Summary: This study introduces a centralized polygenic risk score calculator that allows users to easily calculate sample-specific risk scores and provides contextual information and potential confounding factors. Additionally, a streamlined analysis tool and web interface have been developed for the wider adaptation of polygenic risk scores in future disease research.

COMMUNICATIONS BIOLOGY (2022)

Article Environmental Sciences

Comorbidity and Cancer Disease Rates among Those at High-Risk for Alzheimer's Disease: A Population Database Analysis

David Valentine, Craig C. Teerlink, James M. Farnham, Kerry Rowe, Heydon Kaddas, JoAnn Tschanz, John S. K. Kauwe, Lisa A. Cannon-Albright

Summary: Analysis of individuals at high risk for Alzheimer's disease (AD) found lower incidence of diabetes, hypertension, and heart disease, but higher incidence of various cancers. This suggests a possible link between AD risk and other diseases that warrants further investigation.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2022)

Article Genetics & Heredity

The Ramp Atlas: facilitating tissue and cell-specific ramp sequence analyses through an intuitive web interface

Justin B. Miller, Taylor E. Meurs, Matthew W. Hodgman, Benjamin Song, Kyle N. Miller, Mark T. W. Ebbert, John S. K. Kauwe, Perry G. Ridge

Summary: Ramp sequences, found near the 5' end of highly expressed genes, decrease translational efficiency by reducing ribosomal collisions. The presence of ramp sequences can change depending on the tissue and cell type due to variations in codon adaptiveness. A comprehensive analysis of tissue and cell type-specific ramp sequences, provided by the Ramp Atlas, allows for personalized and creative analysis of these regulatory regions, aiding in the understanding of viral proliferation and gene expression.

NAR GENOMICS AND BIOINFORMATICS (2022)

Article Medicine, Research & Experimental

Gender differences contribute to variability of serum lipid biomarkers for Alzheimer's disease

Jie Kawakami, Stephen R. Piccolo, John K. S. Kauwe, Steven W. Graves

Summary: This study analyzed serum lipids in men and women to evaluate the gender differences and statistical methods of biomarkers for Alzheimer's disease (AD) diagnosis. The results showed significant differences in lipids that could classify AD subjects between men and women, but machine-learning algorithms did not improve diagnostic performance.

BIOMARKERS IN MEDICINE (2022)

Article Clinical Neurology

GenoRisk: A polygenic risk score for Alzheimer's disease

Samuel P. Dickson, Suzanne B. Hendrix, Bruce L. Brown, Perry G. Ridge, Jessie Nicodemus-Johnson, Marci L. Hardy, Allison M. McKeany, Steven B. Booth, Ryan R. Fortna, John S. K. Kauwe

Summary: Recent clinical trials are considering the inclusion of more factors than just APOE genotype for predicting AD risk. The best model included age, APOE terms, and additional SNPs, explaining an additional 19% of heritable risk compared to APOE genotype alone.

ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS (2021)

Meeting Abstract Biochemistry & Molecular Biology

Alzheimer's Disease Alters Oligodendrocytic Glycolytic and Ketolytic Gene Expression

Erin Saito, Justin Miller, Oscar Harari, Carlos Cruchaga, Kathie Mihindukulasuriya, John Kauwe, Benjamin Bikman

FASEB JOURNAL (2021)

暂无数据