RKIP Induction Promotes Tumor Differentiation via SOX2 Degradation in NF2-Deficient Conditions.

Loss of NF2 (merlin) has been suggested as a genetic cause of neurofibromatosis type 2 and malignant peripheral nerve sheath tumor (MPNST). Previously, we demonstrated that NF2 sustained TGFß receptor 2 (TßR2) expression and reduction or loss of NF2 activated non-canonical TGFß signaling, which reduced Raf kinase inhibitor protein (RKIP) expression via TßR1 kinase activity. Here, we show that a selective RKIP inducer (novel chemical, Nf18001) inhibits tumor growth and promotes schwannoma cell differentiation into mature Schwann cells under NF2-deficient conditions. In addition, Nf18001 is not cytotoxic to cells expressing NF2 and is not disturb canonical TGFß signaling. Moreover, the novel chemical induces expression of SOX10, a marker of differentiated Schwann cells, and promotes nuclear export and degradation of SOX2, a stem cell factor. Treatment with Nf18001 inhibited tumor growth in an allograft model with mouse schwannoma cells. These results strongly suggest that selective RKIP inducers could be useful for the treatment of neurofibromatosis type 2 as well as NF2-deficient MPNST. IMPLICATIONS: This study identifies that a selective RKIP inducer inhibits tumor growth and promotes schwannoma cell differentiation under NF2-deficient conditions by reducing SOX2 and increasing SOX10 expression.

The association between oral health and food avoidance among older adults in the United States.

Objectives: This study examines the association between oral health and food avoidance among older adults in the United States. Study design: A population-based sample of 1,278 adults aged 51+ from the Health and Retirement Study was used. A logistic regression model was performed to evaluate various oral health conditions and food avoidance behavior among older adults. Results were quantified as odds ratios (OR). Results: This study found a significant association between oral health and food avoidance in older adults. Individuals with teeth loss, poor self-rated oral health, and teeth or gum sensitivity experienced more food avoidance. Conclusions: Geriatric health care professionals assessing older adults' well-being can be informed by this study outcome to consider oral health as a potential risk factor for food avoidance. This study can inform policymakers to develop oral health promotion programs and goals for older adults, and also consider nutritional support for older adults with negative oral health conditions.

Dense range map reconstruction from a versatile robotic sensor system with an active trinocular vision and a passive binocular vision.

One major research issue associated with 3D perception by robotic systems is the creation of efficient sensor systems that can generate dense range maps reliably. A visual sensor system for robotic applications is developed that is inherently equipped with two types of sensor, an active trinocular vision and a passive stereo vision. Unlike in conventional active vision systems that use a large number of images with variations of projected patterns for dense range map acquisition or from conventional passive vision systems that work well on specific environments with sufficient feature information, a cooperative bidirectional sensor fusion method for this visual sensor system enables us to acquire a reliable dense range map using active and passive information simultaneously. The fusion algorithms are composed of two parts, one in which the passive stereo vision helps active vision and the other in which the active trinocular vision helps the passive one. The first part matches the laser patterns in stereo laser images with the help of intensity images; the second part utilizes an information fusion technique using the dynamic programming method in which image regions between laser patterns are matched pixel-by-pixel with help of the fusion results obtained in the first part. To determine how the proposed sensor system and fusion algorithms can work in real applications, the sensor system is implemented on a robotic system, and the proposed algorithms are applied. A series of experimental tests is performed for a variety of configurations of robot and environments. The performance of the sensor system is discussed in detail.