The CDC website now says: “The claim ‘vaccines do not cause autism’ is not an evidence-based claim…” Psychologist David Myers from Hope College summarizes the relevant evidence.
You are an educated reader, so I know that you know that vaccines do not cause autism. However, you probably have also read headlines such as the recent U.S. Health and Human Services release, “Autism Epidemic Runs Rampant.”
The rising incidence of LC underscores the pressing need for more effective treatment strategies. Cryoablation has emerged as a promising approach for various cancers, including non-small-cell lung cancer (NSCLC) [11,12,24]. A recent meta-analysis by Xu et al. (2023) found that cryoablation for the treatment of NSCLC was superior to radiofrequency ablation, with improved disease-free survival time, along with fewer complications and a significant reduction in recurrence rates [6]. While effective, an understanding of the MLT is necessary to assure that lung cancer destruction remains unknown. Several clinical studies have suggested an MLT in the −20 °C to −35 °C range [24,25,26]. Accordingly, in this study we utilized the A549 cell line as a model to investigate the response of lung adenocarcinoma carcinoma cells to freezing in an effort to identify the MLT. Additionally, we investigated the effect of combining cryoablation with gemcitabine, a standard chemotherapy drug as a potential adjunctive treatment path for NSCLC.
Understanding the MLT is crucial for optimizing cryoablation protocols. While previous studies have investigated MLT for various cancers, defining it for LC remains open due to the complex nature of lung tissue and varying responses to freezing. The results of this study demonstrate that A549 cells were effectively destroyed following a: single freeze ≤−25 °C; repeat freeze to −25 °C; combination treatment with a single freeze ≤−20 °C; and combination treatment with a repeat freeze ≤−15 °C (Figure 1 and Figure 3). Our reported lethal temperature of −25 °C for a repeat 5 min freeze is comparable to other published data [24] as well as other cancer types, which range from −20 °C to −40 °C [18,19,21,33,58]. Further, studies have shown that translation of the MLT as determined in in vitro studies translates well into in vivo application. For instance, Snyder et al.
An experimental drug compound could prevent and treat some complications of diabetes, such as poor wound healing and rampant inflammation. And it works regardless of blood sugar control, a new study in mice and human cells suggests.
The cornerstone of diabetes care is keeping blood sugar in check through diet and exercise, by maintaining a healthy weight, and by injecting the hormone insulin to help shuttle glucose out of the bloodstream. But while maintaining blood sugar levels in a target range reduces the chance that diabetes complications will emerge, it doesn’t eliminate the risk.
Plasticity of RNA-binding proteins in cancer.
Extensive research has shown that RNA-binding proteins (RBPs) can influence all cancer hallmarks via post-transcriptional regulation of gene expression.
Many RBPs are considered to be prognostic markers in cancer, and are emerging as important targets for therapeutic intervention through the development of drugs targeting RBPs.
Multiple RBPs play contrasting roles across cancer contexts and can facilitate or suppress cancer depending on the type, subtype, or stage of cancer.
The ability of an RBP to bind to a substrate, and the consequences of binding, are highly dependent on cell type-specific modifications of RBPs, their substrates, and interacting regulatory proteins and RNAs. https://www.cell.com/trends/cancer/fulltext/S2405-8033(25)00253-5 https://sciencemission.com/plasticity-of-RBPs-in-cancer
RNA-binding proteins (RBPs) govern RNA-based post-transcriptional processes that generate the abundance and diversity of the proteome. RBPs have recently emerged as crucial cancer regulators that can influence multiple cancer hallmarks. However, many RBPs display remarkable variations across different tumor types and can exert both tumor-promoting and tumor-suppressive effects. These opposing roles are often attributed to context-dependency, but there is a distinct lack of clarity regarding what aspects of cellular context define the differences in the roles of RBPs. Given the recent development of RBP-targeted interventions, resolving this significant gap in the field could improve the selectivity and specificity of RBP biomarkers and therapies in cancer.
A meta-analysis of RCTs found high uptake (92%) but moderate adherence (62%) to mental health apps among participants with depression or anxiety; posttest attrition averaged 18% and follow-up attrition 28%. Trials that included reminders, human contact, and omitted gamification saw lower dropout rates.
Question What are the expected rates of uptake, attrition, and adherence in randomized clinical trials of mental health apps for depression and anxiety?
Findings This systematic review and meta-analysis of 79 randomized trials found high rates of app uptake (94%) and moderate adherence (62%) among participants with depression or anxiety. Posttest attrition averaged 17%, and follow-up attrition was 27%.
Meaning These findings highlight the need to optimize app design and trial protocols to improve engagement and reduce attrition in digital interventions for depression and anxiety.
A study by the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) in Jena shows that the chemical composition of proteins in the brain undergoes fundamental changes with aging. In particular, ubiquitylation—a process that marks proteins and thus controls their activity and degradation—undergoes drastic changes in the aging brain. Interestingly, a change in nutrition, such as short-term dietary restriction, can partially revert some of these molecular patterns. These findings open up new opportunities to better understand the aging process of the brain and related diseases.
Cerebrospinal fluid (CSF) is a clear and watery liquid that flows in and around the brain and spinal cord. Its functions include protecting parts of the nervous system, delivering nutrients and removing metabolic waste.
Some neurological diseases, including Alzheimer’s disease, have been linked to the abnormal accumulation of proteins in the brain, which can cause damage to neurons. This accumulation of proteins could potentially be linked to variations in the flow of CSF in specific brain regions.
Researchers at Leiden University Medical Center, University of Amsterdam and the German Center for Neurodegenerative Diseases (DZNE) recently developed a new approach to study the motion of CSF, which is based on the widely used imaging technique magnetic resonance imaging (MRI).
When it comes to innovation, engineers have long proved to be brilliant copycats, drawing inspiration directly from nature. But now some scientists are moving beyond simple imitation to incorporating natural materials into their designs. Stuck for ideas on how to create ultra-fine, low-cost 3D printing nozzles, researchers at McGill University in Canada repurposed the proboscis of a deceased female mosquito to create a sustainable, high-resolution 3D printing tip.
The work is published in the journal Science Advances.
High-resolution 3D printing is a process that creates three-dimensional objects with extremely fine details and very smooth surfaces. The technology is used in numerous fields such as aerospace, dentistry and biomedical research. However, its level of precision comes at a steep cost. The tiny nozzles can cost more than $80 per tip and are made of metal or plastic, both of which are nonbiodegradable.
Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have pioneered a new machine learning method—called X-RAI (X-Ray single particle imaging with Amortized Inference)—that can “look” at millions of X-ray laser-generated images and create a three-dimensional reconstruction of the target particle. The team recently reported their findings in Nature Communications.
X-RAI’s ability to sort through a massive number of images and learn as it goes could unlock limits in data-gathering, allowing researchers to see molecules up close—and perhaps even on the move. “There is really no limit” to the dataset size it can handle, said SLAC staff scientist Frédéric Poitevin, one of the study’s principal investigators.
