Results 171 to 180 of about 248,446 (274)

Prenatal Tympanic Ring Anomaly Without Microtia: A Subtle Clue Toward Severe Early‐Onset Monogenic Disorders

Prenatal Diagnosis, EarlyView.
ABSTRACT Objective To investigate the genetic etiologies and clinical significance of fetal tympanic ring abnormalities detected during second‐trimester ultrasound in the absence of microtia. Method Between November 2019 and June 2024, we examined the fetal tympanic rings of 10,277 unselected pregnant women during the 20–22 weeks of morphology ...
Yung Hang Lam, Mengmeng Shi, Zirui Dong, Kwong Wai Choy, Tak Yeung Leung, Ye Cao   +5 more
wiley   +1 more source

Mendelian randomization analysis reveals a shared protective role of gut microbiota genus Alloprevotella in spontaneous abortion and rheumatoid arthritis. [PDF]

Medicine (Baltimore)
Ding X, Zhao H, Ma Y, Zhao Y, Zheng M, Chen X, Jin L, Du T, Jiang Y, Zhao X.   +9 more
europepmc   +1 more source

Rethinking Mitochondrial Parkinson's Disease in the α‐Synuclein Seed Amplification Assays Era

Movement Disorders, EarlyView.
Marco Percetti, Vidal Yahya, Alessio Di Fonzo, Edoardo Monfrini   +3 more
wiley   +1 more source

Exploring the Reproductive Toxicity of Bisphenol S Through a Network Toxicology and Molecular Docking Analysis

Pediatric Discovery, EarlyView.
Utilizing network toxicology, molecular docking, and dynamic simulations to investigate the potential reproductive toxicity of bisphenol S (BPS). ABSTRACT The aim of this study was to investigate the potential reproductive toxicity of bisphenol S (BPS) and the related molecular mechanisms through a network toxicology approach.
Siyuan Wang, Yan Fu, Xu Huang, Qitong Guo, Xiangqin Zheng, Shengde Wu, Lianju Shen, Guanghui Wei   +7 more
wiley   +1 more source

The impact of different intensities of physical activity on aging: A Mendelian randomization study. [PDF]

Medicine (Baltimore)
Li H, Guo W, Nie Q, Tang Q, Li H.
europepmc   +1 more source

Reply to: “Alcohol Intake and Parkinson's Symptoms Following Diagnosis”

Movement Disorders, EarlyView.
Sahar Hemeda, Mohammed Elmadani, Mohammed Merzah, Aseel Odeh, Evelyn Pintér, István Balás, József Janszky, Dávid Pintér, Norbert Kovács   +8 more
wiley   +1 more source

Association of insomnia, insulin resistance traits, and cardiovascular disease risk: A two‐step Mendelian randomization study

Sleep Research, EarlyView.
The causal roles of metabolic traits in mediating the effects of insomnia on CVDs. CAD, coronary artery disease; HbA1c, hemoglobin A1c; HDL‐C, high‐density lipoprotein cholesterol; IR, insulin resistance; MI, myocardial infarction; TG, triglyceride; T2DM, type 2 diabetes.
Binhe Yu, Yanmin Xu, Xiaoyu Wang, Shuo Ye, Ruixiang Cui, Yujing Sun, Meng Li, Yan Li, Wenhui Yuan, Sheng Guo, Zhigang Chen, Xiaohong Kang, Sizhi Ai   +12 more
wiley   +1 more source

Identification of genetically predicted protein biomarkers and drug targets for prostate cancer via Mendelian randomization

VIEW, EarlyView.
Prostate cancer, a leading cause of cancer in men globally, urgently requires improved diagnostic and treatment strategies. This study analyzed large genetic datasets and identified five key proteins (THBD, DST, IFI27L2, OSBPL10, PPP1R14A) that either increase or decrease cancer risk, while also exploring their roles in immune response and potential ...
Maoping Cai, Tianming Peng, Zhiyue Xie, Chuqian Zhen, Chen Yao, Nan Peng, Qianyi Li, Yuzhong Yu, Jiming Bao, Xian‐Lu Song, Mingkun Chen, Shan‐Chao Zhao   +11 more
wiley   +1 more source

Bidirectional Mendelian randomization analysis of the causal association between obesity and hepatocellular carcinoma in a European population. [PDF]

Medicine (Baltimore)
Ding X, Zhou X, Tang N, Wang X, Jin X, Ma X, Wu B, Wu C, Yang X, Yang J, Wu T, Liang Q, Yin L.   +12 more
europepmc   +1 more source

From prediction to intervention: Paradigm shifts in causal AI for precision medicine and large‐scale cohorts

VIEW, EarlyView.
Large‐scale cohorts and multimodal biomedical data have enabled powerful predictive models for clinical risk stratification, but prediction alone cannot guide effective interventions. This review introduces causal artificial intelligence as a design‐first framework that integrates target trial emulation, causal discovery, and robust effect estimation ...
Linlin Cao, Yudian Xu, Yifan Chen, Honghao Huang, Wei Xu, Jun Pu   +5 more
wiley   +1 more source