![]() ![]() The goal of this study was to determine whether the degree of weight loss after six months of a behavior-based intervention was related to connectivity within two functional networks (FNs), FN1 and FN2, in a group of older adults with obesity. ![]() These findings, published in the April edition of the journal Obesity, may ultimately help in developing tailored behavior-based treatments that target specific brain circuitry to aid in weight loss, according to the study’s principal investigator Jonathan Burdette, MD, House Staff ’98, professor of radiology at the School of Medicine. Scientists at Wake Forest University School of Medicine have shown that two specific networks in the brain can strongly influence how successful a person will be when trying to lose weight. “These findings warrant further evaluation.” “Our study suggests there’s potential translation of our nanoparticle therapeutic for treating human cancers and that it might also boost the effectiveness of existing treatments,” Ming said. Ming noted that most solid tumors have a poor microenvironment that can make them unresponsive to conventional cancer therapeutics, including immunotherapy. Immunotherapy has transformed cancer treatment, but unfortunately, only about 20% of patients respond to treatment. The study was published online in June in the journal Science Translational Medicine. Xin Ming, PhD, associate professor of cancer biology at the School of Medicine, and his team used a nanoparticle to deliver a small molecule called ARL67156 to promote an anti-tumor immune response in mouse models of colon, head and neck, and metastatic breast cancer, resulting in increased survival. Solid tumors are found in cancers such as breast, head and neck, and colon cancer. ![]() Researchers from Wake Forest University School of Medicine have discovered a possible new approach in treating solid tumors through the creation of a novel nanoparticle. The research team included health professionals and academics from the U.S., England, Germany, Sweden and Switzerland. “This offers a promising therapeutic target to stop cognitive decline associated with aging and Alzheimer’s.” “These findings show the effects of brain inflammation on sleep spindles and memory occur through its effects on neuronal activity and Alzheimer’s disease-related proteins and are apparent even before pathological positivity,” said Ruth Benca, MD, PhD, professor and chair of psychiatry and behavioral medicine at Wake Forest University School of Medicine and the study’s senior and co-corresponding author. The study, published online in July in the journal Sleep, examined whether inflammation had any effect on specific brain waves called fast sleep spindles, which have been shown to promote long-term memory retention. Wake Forest Clinical and Translational Science InstituteĪ multisite research team from Wake Forest University School of Medicine, the University of California, Irvine and University of Wisconsin – Madison, has discovered that brain inflammation may link Alzheimer’s disease risk with sleep disturbance, which may aid early detection and prevention efforts by identifying novel treatment targets at preclinical stages.īrain inflammation, sleep disturbance and disrupted brain waves have all been associated with Alzheimer’s disease, but the interactions among them have not been investigated until now.Wake Forest Institute for Regenerative Medicine (WFIRM).Sticht Center for Healthy Aging and Alzheimer’s Prevention.Hypertension and Vascular Research Center.Center on Diabetes, Obesity and Metabolism.The Center of Excellence for Research, Teaching and Learning.Wake Forest Journal of Science and Medicine.Center for Personal and Professional Development.Center for Experiential and Applied Learning.Office of Education Institutional Effectiveness. ![]()
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