Results 61 to 70 of about 10,755 (158)

Single‐Cell Level Characterization of B Cell Depletion and Repopulation Following Rituximab in Systemic Lupus Erythematosus

Arthritis &Rheumatology, EarlyView.
Objective Rituximab, a CD20+ B cell depletion therapy, is frequently used to treat systemic lupus erythematosus (SLE). However, variability in patient response highlights the need for a deeper understanding of the underlying immune cell dynamics of B cell depletion and repopulation.
Haerin Jang, Norzawani Buang, Catherine Sutherland, Wanseon Lee, Lauren Overend, Tarran S. Rupall, Katie L. Burnham, Matthew C. Pickering, Marina Botto, Emma E. Davenport   +9 more
wiley   +1 more source

A deep learning phenome wide association study of the electrocardiogram

European Heart Journal - Digital Health
Abstract Aims Deep learning methods have shown impressive performance in detecting a range of diseases from electrocardiogram (ECG) waveforms, but the breadth of diseases that can be detected with high accuracy remains unknown, and in many cases the changes to the ECG allowing these classifications ...
John Weston Hughes, John Theurer, Milos Vukadinovic, Albert J Rogers, Sulaiman Somani, Guson Kang, Zaniar Ghazizadeh, Jack W O’Sullivan, Sneha S Jain, Bruna Gomes, Michael Salerno, Euan Ashley, James Y Zou, Marco V Perez, David Ouyang   +14 more
openaire   +2 more sources

High Endothelial Venules in Small Cell Lung Cancer: Prognostic Subtypes and Therapeutic Implications for Immunoradiotherapy

International Journal of Cancer, EarlyView.
ABSTRACT Small cell lung cancer (SCLC) is a highly aggressive neuroendocrine malignancy with an immunosuppressive tumor microenvironment, and current immunotherapy provides limited benefit. This highlights the need to identify microenvironmental features enabling effective immune responses.
Jiatian Fang, Zilian Wang, Hui Wang, Jianxin Xue, Kai Kang   +4 more
wiley   +1 more source

Precision Mapping of Retinal Disease: Identification of Differential Progression Trajectories via Imaging Phenomics

iMetaMed, EarlyView.
Applying single‐cell RNA‐seq techniques to large‐scale clinical phenotypic data enables the discovery of differential disease progression trajectories and the construction of data‐driven progression scores. These can then be integrated into precision medicine studies to investigate the drivers of patient‐specific disease outcomes. ABSTRACT We propose a
Christian Anderson, Liam Scott, Irene Leung, Ferenc Sallo, Catherine Egan, Tunde Peto, The MacTel Consortium, Melanie Bahlo, Martin Friedlander, Simone Tzaridis, Lea Scheppke, Roberto Bonelli   +11 more
wiley   +1 more source

Risk of Cardiovascular Disease Mortality in Patients With Diagnosed Cancer and Associated Genetic and Proteomic Mechanisms: A UK Biobank‐Based Cohort Study

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Background Previous studies have identified a link between cancer and cardiovascular disease; however, the underlying genetic and proteomic mechanisms remain unclear. Therefore, this study aimed to investigate the association between cancer diagnosis and
Yuan Du, Sen Han, Jiaxi Cheng, Zhangyu Lin, Yanjun Song, Shanshan Shi, Zixiang Ye, Yingyi Xie, Wenbo Ding, Yuanlin Guo, Shuang Wang, Kefei Dou   +11 more
doaj   +1 more source

Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects

iMeta, EarlyView.
Microbiome age (MA) has emerged as an innovative biomarker of biological aging, reflecting host aging trajectories through dynamic alterations in microbial composition, function, and host–microbe interactions across multiple body ecosystems. Diverse computational strategies—including traditional machine learning, deep learning, and multi‐omics ...
Zhexin Ni, Jiaojiao Xie, Zhichun Zhang, Keming Zhang, Jie Ding, Mingyang Chang, Ying Su, Yunan Zhang, Mingfei Yao, Chengyuan Wang, Yan Yan, Wenjie Fang, Hainv Gao, Xuecong Tian, Yangshuo Li, Xinlin Zhu, Wen Zhang, Wanqing Liao, Gaoyuan Xu, Guojing Chen, Xiaoyi Lv, Chaoqin Yu, Weihua Pan, Vadim Molodtsov, Lanjuan Li, Yue Gao, Wei Zhou   +26 more
wiley   +1 more source

Phenome‐wide association studies: a new method for functional genomics in humans [PDF]

The Journal of Physiology, 2017
AbstractIn experimental physiological research, a common study design for examining the functional role of a gene or a genetic variant is to introduce that genetic variant into a model organism (such as yeast or mouse) and then to search for phenotypic consequences.
openaire   +2 more sources

Omics GWAS: A Multi‐Omics Integrative Analysis Platform for Genome‐Wide Association Studies

Med Research, EarlyView.
ABSTRACT With the rapid advancement of genome‐wide association studies (GWAS), downstream analyses of GWAS data have become essential for elucidating the genetic mechanisms that underlie complex diseases. However, current post‐GWAS analyses face numerous challenges, including heterogeneous data formats, challenges in multi‐omics integration, and ...
Xu Zhang, Kailai Li, Yasi Zhang, Cenwen Liu, Shunyi Huang, Yingzhao Jin, Yugeng Gao, Quan Cheng, Yunyun Mei   +8 more
wiley   +1 more source

Aberrant alternative splicing of purinergic receptor P2RX4 prevents sensitivity towards combinatorial treatment in colorectal and pancreatic cancer

The Journal of Pathology, EarlyView.
Abstract Recently, we suggested the combination of chemotherapy and P2RX4 inhibition as a promising novel therapeutic approach for P2RX4‐expressing epithelial tumors to prevent paracrine resistance. Here, we aimed to assess whether determining P2RX4 expression status in colorectal and pancreatic cancer patients would allow stratification of potentially
Christoph Steup, Julian Dosch, Christopher Dietz‐Fricke, Sara Khosraviseftejani, Esther Engel, Adalbert F de Valk, Dominic Menger, Patrick Welker, Peter J Wild, Kilian B Kennel, Maja Kantlehner, Paul K Ziegler, Florian R Greten   +12 more
wiley   +1 more source

Disease associations depend on visit type: results from a visit-wide association study

BioData Mining, 2019
Introduction Widespread adoption of Electronic Health Records (EHR) increased the number of reported disease association studies, or Phenome-Wide Association Studies (PheWAS).
Mary Regina Boland, Snigdha Alur-Gupta, Lisa Levine, Peter Gabriel, Graciela Gonzalez-Hernandez   +4 more
doaj   +1 more source