Results 111 to 120 of about 103,750,445 (281)

Gm26550 Modulates Learning and Memory by Increasing IGF1 mRNA Expression and Stability in Nrf2−/− Mice

open access: yesAdvanced Science, EarlyView.
The present study shows that Nrf2 directly binds to the Gm26550 promoter, thereby activating Gm26550 transcription and increasing its expression. Mechanistically, Gm26550 promotes IGF1 expression by functionally antagonizing miR‐26a‐5p‐mediated repression and sequestering the RBP KHSRP, thereby enhancing hippocampal neuronal synaptic plasticity and ...
Hongfang Wang   +12 more
wiley   +1 more source

Early Retinal UCHL1 Dysregulation Coupled With Synaptic Loss Reflects Alzheimer's Disease Severity

open access: yesAdvanced Science, EarlyView.
This study identifies synapse‐enriched deubiquitinase UCHL1 as an early Aβ‐responsive regulator of retinal synaptopathy in Alzheimer's disease. Retinal UCHL1 loss accompanies excitatory synapse degeneration, p75NTR activation, and neuroinflammation, and predicts Braak stage and cognitive decline. Aβ42 fibrils trigger synaptic and UCHL1 depletion before
Altan Rentsendorj   +25 more
wiley   +1 more source

Single‐Cell Dissection of Microglial Dysfunction in Diabetes‐Associated Neurodegenerative Vulnerability

open access: yesAdvanced Science, EarlyView.
Using single‐cell transcriptomic and epigenomic profiling, researchers mapped microglial dysfunction across the lifespan of db/db mice. The authors uncovered a nonlinear microglial remodeling featuring early inflammatory priming, a mid‐stage transcriptional inflection, and late dysfunction.
Jizhou Zhang   +6 more
wiley   +1 more source

Association of IGF-1 and IGFBP-3 with metabolic abnormalities among children and adolescents

open access: yesFrontiers in Endocrinology
Background and ObjectiveInsulin-like growth factor-1 (IGF-1) and insulin-like growth factor binding protein-3 (IGFBP-3) play roles in growth and development, but their association with metabolic abnormalities in children and adolescents remains unclear ...
Zhenghao Zhao   +11 more
doaj   +1 more source

Age, Sex, and Smoking Are Predictors of Circulating Insulin-Like Growth Factor 1 and Insulin-Like Growth Factor–Binding Protein 3

open access: yesJournal of Clinical Oncology, 1999
PURPOSE: Insulin-like growth factor (IGF-1) and its major binding protein (IGF-BP3) have recently been implicated in the pathogenesis of several malignancies. However, anthropometric and lifestyle predictors of these hormones have not been elucidated. Here we report the results of a cross-sectional study.
Kaklamani, VG   +4 more
openaire   +3 more sources

Emerging role of insulin-like growth factor-binding protein 7 in hepatocellular carcinoma

open access: yes, 2014
Maaged Akiel, Devaraja Rajasekaran, Rachel Gredler, Ayesha Siddiq, Jyoti Srivastava, Chadia Robertson, Nidhi Himanshu Jariwala, Paul B Fisher, Devanand SarkarDepartment of Human and Molecular Genetics, Massey Cancer Center, VCU Institute of Molecular ...
Robertson C   +8 more
core  

Molecular networks in FGF signaling: Flotillin-1 and Cbl-associated protein compete for the binding to fibroblast growth factor receptor substrate 2 [PDF]

open access: yes, 2012
Fibroblast growth factor receptor substrate 2 (FRS2α) is a signaling adaptor protein that regulates downstream signaling of many receptor tyrosine kinases.
Traub Stephanie   +11 more
core   +2 more sources

Ultra‐Radiostable Covalent Conformationally Interlocked Networks Enabling a Universal Radiometal‐Labeling Platform for Cancer Radioembolization

open access: yesAdvanced Science, EarlyView.
Conjugated poly(imide dioxime)‐based microspheres establish a radiometal coordination‐driven conformational interlocked network with ultra‐high radiostability. This platform enables low‐temperature, multi‐radionuclide labeling for SPECT/PET/MRI imaging and radionuclide therapy. Mechanistic insights from EXAFS and DFT reveal enhanced stability, while in
Xiao Xu   +10 more
wiley   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

open access: yesAdvanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao   +6 more
wiley   +1 more source

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