Results 61 to 70 of about 96,822 (214)

Roles of histone lysine methylation in neurodevelopment and related disorders

Ibrain, EarlyView.
This graphical abstract centers on the theme of dynamic balance and systematically outlines the role of histone lysine methylation in neurodevelopment and related disorders. The figure first presents two key classes of regulators that control this balance—“writers” and “erasers”—and then indicates how interactions among different epigenetic ...
Yun Chen, Yi Zhang, Hong Zhang, Xiaoli Liang   +3 more
wiley   +1 more source

Adss1–HDAC3 Interaction: A Novel Mechanism for Epigenetic Regulation of Metabolism in Adipose Tissue

iNew Medicine, EarlyView.
ABSTRACT Obesity and its related metabolic disorders have emerged as global public health challenges with underlying mechanisms involving an imbalance between energy storage and expenditure in the adipose tissue. In recent years, with the deepening research on adipose tissue metabolism, the cross talk between metabolic enzymes and epigenetic regulation
Jiarui Zhao, Jingjing Sun, Yan Lu, Ying Yang   +3 more
wiley   +1 more source

Ovarian Cancer: Epidemiology, Disease Mechanisms, New Diagnosis and Treatment Strategies, and Research Directions

iNew Medicine, EarlyView.
ABSTRACT Ovarian cancer (OC) continues to be the deadliest gynecological malignancy and a significant cause of cancer‐related mortality among women worldwide. Standard treatment strategies typically entail platinum‐based chemotherapy in conjunction with cytoreductive surgery.
Zunera Khalid, Weirong Fan, Farah Nazir, Yixiang Xing, Tengchuan Jin   +4 more
wiley   +1 more source

Targeting eIF5A combats breast cancer progression by ClpP‐dependent mitochondrial oxidative stress

Interdisciplinary Medicine, EarlyView.
This study identified the eIF5A‐ClpP axis as a key driver of breast cancer progression. Targeting eIF5A suppresses tumor growth by inducing ClpP‐dependent mitochondrial oxidative stress, revealing a novel therapeutic vulnerability. Abstract Breast cancer (BC) poses a persistent global health challenge, necessitating new therapeutic targets.
Jinmei Zhu, Baoyuan Tang, Bei Xie, Haohua Deng, Haitang Yang, Lei Ma, Ziqing Zhang, Yicheng Ma, Xingyuan Ma, Shuaiyang Wang, Jing Li, Lei Zhao, Wengui Shi, Linjing Li   +13 more
wiley   +1 more source

Analytical and Workflow Performance of a High‐Throughput Chemiluminescent Immunoassay System in a Clinical Laboratory

Journal of Clinical Laboratory Analysis, EarlyView.
Analytical and operational performance evaluation of the DxI 9000 Access Immunoassay Analyzer in a clinical laboratory in Taiwan. ABSTRACT Background Increasing test volumes and shorter turnaround time (TAT) requirements, particularly in acute‐care settings, challenge clinical laboratories to maintain accurate immunoassay testing.
Chiung‐Tzu Hsiao, Chao‐Ching Liao, Yu‐Chang Chang, Hui‐Ju Chang, Tz‐Ya Huang, Jen‐Shiou Lin, Po‐Ren Hsueh   +6 more
wiley   +1 more source

Serum Apelin‐13 and Galectin‐3 in COVID‐19: Associations With Routine Biochemical Parameters and Diagnostic Performance in a Case–Control Study

Journal of Clinical Laboratory Analysis, EarlyView.
Serum Apelin‐13 and Galectin‐3 levels were measured by ELISA in COVID‐19–positive patients and controls and evaluated alongside routine biochemical parameters. COVID‐19 patients showed significant alterations in liver, renal, inflammatory, and metabolic markers.
İsmail Uğurlu
wiley   +1 more source

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He, Nan Su, Yuqing Wang, Yulin Sun, Xin Weng, Tania Pereira, Chenggong Hu, Keliang Xie, Meijun Pang, Kuo Zhang, Chuanxiang Huang, Xiuyun Liu   +11 more
wiley   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source

Macronutrient and micronutrient profiles of meat types: insights into human health and diet

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Despite considerable advances in global health and nutrition, emerging challenges such as population growth, climate change, and limited natural resources continue to threaten food security. Meat remains an essential component of the human diet, supplying high‐quality proteins, essential amino acids, lipids, vitamins, and minerals necessary ...
Özgül Anitaş, Serap Göncü, Fatma Hepsağ, Nazan Koluman, Yesim Ozogul   +4 more
wiley   +1 more source

Early Dapagliflozin and Melatonin Treatment Ameliorated LV Fibrosis via Suppressing TGF‐β1/Smads and Activating Nrf2‐ARE Signaling in MI Rodent

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study tested whether combined dapagliflozin (DAPA) and melatonin (Mel) therapy was superior to merely one for ameliorating the left ventricular (LV) fibrosis/remodeling and improving LV ejection fraction (LVEF) in rats after acute myocardial infarction (AMI). In vitro study demonstrated that DAPA treatment significantly suppressed the TGF‐
Jiunn‐Jye Sheu, Jui‐Ning Yeh, Han‐Tan Chai, John Y. Chiang, Chi‐Ruei Huang, Jun Guo, Hon‐Kan Yip   +6 more
wiley   +1 more source