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STUDY DESIGN: Systematic review. OBJECTIVE: Degenerative cervical myelopathy (DCM) is a common spinal cord disorder necessitating surgery. We aim to explore how effectively diffusion tensor imaging (DTI) can distinguish DCM from healthy individuals and assess the relationship between DTI metrics and symptom severity. METHODS: We included studies with adult DCM patients who had not undergone decompressive surgery and implemented correlation analyses between DTI parameters and severity, or compared healthy controls and DCM patients. RESULTS: 57 studies were included in our meta-analysis. At the maximal compression (MC) level, fractional anisotropy (FA) exhibited lower values in DCM patients, while apparent diffusion coefficient (ADC), mean diffusivity (MD), and radial diffusivity (RD) were notably higher in the DCM group. Moreover, our investigation into the diagnostic utility of DTI parameters disclosed high sensitivity, specificity, and area under the curve values for FA (.84, .80, .83 respectively) and ADC (.74, .84, .88 respectively). Additionally, we explored the correlation between DTI parameters and myelopathy severity, revealing a significant correlation of FA (.53, 95% CI:0.40 to .65) at MC level with JOA/mJOA scores. CONCLUSION: Current guidelines for DCM suggest decompressive surgery for both mild and severe cases. However, they lack clear recommendations on which mild DCM patients might benefit from conservative treatment vs immediate surgery. ADC's role here could be pivotal, potentially differentiating between healthy individuals and DCM. While it may not correlate with symptom severity, it might predict surgical outcomes, making it a valuable imaging biomarker for clearer management decisions in mild DCM.
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CircRNAs, a special type of noncoding RNAs characterized by their stable structure and unique abilities to form backsplicing loops, have recently attracted the interest of scientists. These RNAs are abundant throughout the body and play important roles such as microRNA sponges, templates for transcription, and regulation of protein translation and RNA-binding proteins. Renal cancer development is highly correlated with abnormal circRNA expression in vivo. CircRNAs are currently considered promising targets for novel therapeutic approaches as well as possible biomarkers for prognosis and diagnosis of various malignancies. Despite our growing understanding of circRNA, numerous questions remain unanswered. Here, we address the characteristics of circRNAs and their function, focusing in particular on their impact on drug resistance, metabolic processes, metastasis, cell growth, and programmed cell death in renal cancer. In addition, the application of circRNAs as prognostic and diagnostic biomarkers will be discussed.
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OBJECTIVE: Addressing both the initial treatment response and subsequent paclitaxel resistance is a pivotal concern. Nano drug delivery, an emerging approach, presents a cutting-edge alternative to conventional chemotherapy. METHODS: This investigation synthesized PEGylated nanoparticles (NPs) via the Reverse Phase Evaporation technique for liposomal NPs. Characteristics such as zeta potential, size, drug release and polydispersity index (PDI) were subjected to evaluation. Subsequently, cytotoxicity assays were conducted on gastric cancer cells (AGS) following 24 and 48-hour incubation periods. RESULTS: In this study, the liposomal NPs had a zeta potential of -22 mV and a particle size of 285 nm. The Entrapment efficiency was determined as 41% that occurred physically. Additionally, the liposomal NPs demonstrated a high drug retention rate (39% remained after 72 hours), and they exhibited significantly increased cytotoxicity compared to the free drug, confirming their effectiveness as a suitable carrier for paclitaxel during both incubation periods (P<0.05). CONCLUSION: These findings collectively advocate the potential of liposomal NPs as promising contenders for effective nano-drug application in propelling chemotherapy forward.
