Results 131 to 140 of about 125,582 (266)

The causal relationship between systemic lupus erythematosus and juvenile myoclonic epilepsy: A Mendelian randomization study and mediation analysis

Ibrain, Volume 11, Issue 1, Page 98-105, Spring 2025.
Mendelian randomization (MR) studies were conducted using the inverse‐variance weighted (IVW) method, MR‐Egger and weighted median on juvenile myoclonic epilepsy (JME), and systemic lupus erythematosus (SLE) data from the Integrative Epidemiology Unit (IEU) Open genome‐wide association study (GWAS) database and the International League Against Epilepsy
Sirui Chen, Ningning Zhang, Ruirui Zhang, Lan Zhang, Dadong Luo, Junqiang Li, Yaqing Liu, Yunan Wang, Xinyue Duan, Xin Tian, Tiancheng Wang   +10 more
wiley   +1 more source

Differentiating naturally occurring and disease associated autoantibodies in MPO-ANCA vasculitis through immunogenomic and epitope comparisons. [PDF]

Front Med (Lausanne)
Chen DP, Moon YH, Peck BA, Taylor JJ, Gomez-Martinez I, Woodcock MG, Vincent BG, Falk RJ, Poulton JS, Bunch DO.   +9 more
europepmc   +1 more source

Vascular dysfunction in women with recurrent pregnancy loss: Possible association with antiphospholipid antibodies

International Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 206-214, April 2025.
Abstract Objective Antiphospholipid antibodies (aPL) are recognized to have a pivotal role in recurrent pregnancy loss (RPL) and cardiovascular disease. Therefore, we assessed the vascular function of women with RPL and examined the association with each type of aPL.
Titi Yang, Emi Okada, Maho Todoroki, Siyu Liu, Rukmali Athurupana, Kumie Kataoka, Chiaki Kashino, Takashi Mitsui, Toru Hasegawa, Yasuhiko Kamada, Hisashi Masuyama, Mikiya Nakatsuka   +11 more
wiley   +1 more source

Detection of neural autoantibodies in dogs with non-infectious inflammatory central nervous system disorders. [PDF]

J Vet Intern Med
Heidemann PL, Nilsson C, Schmidt SG, Lattwein E, Agerholm JS, Blaabjerg M, Gredal H.   +6 more
europepmc   +1 more source

Gene expression signatures from single‐cell transcriptomics predict Sjögren's syndrome

iMetaOmics, EarlyView.
A machine learning‐based 12‐gene signature (SjS.Sig) was developed from scRNA‐seq data of PBMCs from Sjögren's syndrome patients. The model was validated using bulk RNA‐seq datasets and further confirmed through flow cytometry and qPCR analysis in an independent clinical cohort, demonstrating robust diagnostic potential.
Shumin Cheng, Ling Yan, Yilin Wu, Yan Li, Ziheng Ye, Zhen Zhang, Yi Zhang, Jingyun Ma, Yuhong Liang, Zhaofan Luo, Huacheng Wang, Meili Gao, Chao Qin, Ke Zhu, Yun Leng, Kamran Ullah, Jun Liang, Haiyan Yan, Guan Yang, Yingqian Mo, Bihui Huang   +20 more
wiley   +1 more source

Editorial: Autoantibodies [PDF]

Frontiers in Immunology, 2019
Holmdahl, Rikard, Nimmerjahn, Falk, Ludwig, Ralf J.   +2 more
openaire   +3 more sources

Bile acid metabolism and signaling in human and animal health: A One Health perspective

iMetaOmics, EarlyView.
Bile acids maintain host homeostasis through enterohepatic circulation, microbial transformation, and bile acid receptor signaling, thereby regulating glucose and lipid metabolism, intestinal barrier integrity, and immunity. These effects support human disease intervention and health‐oriented animal production, reducing drug dependence and residue ...
Lei Li, Shuai Liu, Zhijun Cao, Yangchun Cao, Shengru Wu, Lu Deng, Junhu Yao, Jun Zhang   +7 more
wiley   +1 more source

Thyroid autoimmunity in relation to islet autoantibodies in newly diagnosed type 1 diabetes mellitus in children and adolescents. [PDF]

Front Endocrinol (Lausanne)
Zhu Y, Yang H, Hu C, Qiao L, Li C, Hu S.
europepmc   +1 more source

Adult‐onset CD8‐predominant hemispheric inflammatory epilepsy: Expanding the spectrum of post‐infectious and Rasmussen‐like encephalitis

Epileptic Disorders, EarlyView.
Ramya Raghupathi
wiley   +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