Publications by authors named "M NAMEKATA"

Fibroblast growth factor 5 (FGF5) is a crucial regulator of hair growth and an oncogenic factor in several human cancers. To generate FGF5 inhibitors, we performed Systematic Evolution of Ligands by EXponential enrichment and obtained novel RNA aptamers that have high affinity to human FGF5. These aptamers inhibited FGF5-induced cell proliferation, but did not inhibit FGF2-induced cell proliferation.

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Added sugars are ubiquitous in contemporary Western diets. Although excessive sugar consumption is now robustly associated with an array of adverse health consequences, comparatively little research has thus far addressed its impact on the risk of mental illness. But ample evidence suggests that high-dose sugar intake can perturb numerous metabolic, inflammatory, and neurobiological processes.

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The dermal papilla (DP) is a key mesenchymal compartment of hair follicles that orchestrates mesenchymal-epithelial interaction regulating hair growth cycles. In the present study, we demonstrate that a TALE-family transcription factor, Meis1, is selectively localized in the nucleus of the DP in the anagen phase of the hair cycle. By using an ex vivo organ culture of vibrissae follicles, conditional Meis1 loss causes retardation in hair growth, accompanied by defects in cell proliferation of hair matrix cells.

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Background: The local treatment of extremity sarcomas usually is predicated on a decision between limb salvage and amputation. The manner in which surgical options are presented in the context of shared decision-making may influence this decision. In a population of "simulated" patients-survey respondents presented with a mock clinical vignette and then asked to choose between treatments-we assessed cognitive bias by deliberate alteration of the subjective presentation of the same objective information.

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The Beck Depression Inventory-II (BDI-II) is used within the Veterans Health Administration (VHA) to measure depression symptom severity. This naturalistic study aimed to examine VHA-specific BDI-II use and establish normative data and psychometric properties. Initial BDI-II data for 152,260 individual veterans were extracted from preexisting medical records using the VA Informatics and Computing Infrastructure.

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