27 research outputs found

    Potential for Treatment of Glioblastoma: New Aspects of Superparamagnetic Iron Oxide Nanoparticles

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    Glioblastoma (GB) is a highly aggressive and infiltrative brain tumor characterized by poor outcomes and a high rate of recurrence despite maximal safe resection, chemotherapy, and radiation. Superparamagnetic iron oxide nanoparticles (SPIONs) are a novel tool that can be used for many applications including magnetic targeting, drug delivery, gene delivery, hyperthermia treatment, cell tracking, or multiple simultaneous functions. SPIONs are studied as a magnetic resonance imaging tumor contrast agent by targeting tumor cell proteins or tumor vasculature. Drug delivery to GB tumor has been targeted with SPIONs in murine models. In addition to targeting tumor cells for imaging or drug-delivery, SPION has also been shown to be effective at targeting for hyperthermia. Along with animal models, human trials have been conducted for a number of different modes of SPION utilization, with important findings and lessons for further preclinical and clinical experiments. SPIONs are opening up several new avenues for monitoring and treatment of GB tumors; here, we review the current research and a variety of possible clinical applications

    Targeting the mTOR Pathway Using Novel ATP‑Competitive Inhibitors, Torin1, Torin2 and XL388, in the Treatment of Glioblastoma

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    Mechanistic target of rapamycin (mTOR), which functions via two multiprotein complexes termed mTORC1 and mTORC2, is positioned in the canonical phosphoinositide 3‑kinase‑related kinase (PI3K)/AKT (PI3K/AKT) pathways. These complexes exert their actions by regulating other important kinases, such as 40S ribosomal S6 kinases (S6K), eukaryotic translation initiation factor 4E (elF4E)‑binding protein 1 (4E‑BP1) and AKT, to control cell growth, proliferation, migration and survival in response to nutrients and growth factors. Glioblastoma (GB) is a devastating form of brain cancer, where the mTOR pathway is deregulated due to frequent upregulation of the Receptor Tyrosine Kinase/PI3K pathways and loss of the tumor suppressor phosphatase and tensin homologue (PTEN). Rapamycin and its analogs were less successful in clinical trials for patients with GB due to their incomplete inhibition of mTORC1 and the activation of mitogenic pathways via negative feedback loops. Here, the effects of selective ATP‑competitive dual inhibitors of mTORC1 and mTORC2, Torin1, Torin2 and XL388, are reported. Torin2 exhibited concentration‑dependent pharmacodynamic effects on inhibition of phosphorylation of the mTORC1 substrates S6KSer235/236 and 4E‑BP1Thr37/46 as well as the mTORC2 substrate AKTSer473 resulting in suppression of tumor cell migration, proliferation and S‑phase entry. Torin1 demonstrated similar effects, but only at higher doses. XL388 suppressed cell proliferation at a higher dose, but failed to inhibit cell migration. Treatment with Torin1 suppressed phosphorylation of proline rich AKT substrate of 40 kDa (PRAS40) at Threonine 246 (PRAS40Thr246) whereas Torin2 completely abolished it. XL388 treatment suppressed the phosphorylation of PRAS40Thr246 only at higher doses. Drug resistance analysis revealed that treatment of GB cells with XL388 rendered partial drug resistance, which was also seen to a lesser extent with rapamycin and Torin1 treatments. However, treatment with Torin2 completely eradicated the tumor cell population. These results strongly suggest that Torin2, compared to Torin1 or XL388, is more effective in suppressing mTORC1 and mTORC2, and therefore in the inhibition of the GB cell proliferation, dissemination and in overcoming resistance to therapy. These findings underscore the significance of Torin2 in the treatment of GB

    Molecular Stratification of Medulloblastoma: Clinical Outcomes and Therapeutic Interventions

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    Medulloblastoma (MB) is the most common malignant pediatric posterior fossa tumor. Recent genetic, epigenetic, and transcriptomic analyses have classified MB into three subgroups, Wingless Type (WNT), Sonic Hedgehog (SHH), and non-WNT/non-SHH (originally termed Group 3 and Group 4), with discrete patient profiles and prognoses. WNT is the least common subgroup with the best prognosis, characterized by nuclear β-catenin expression, mutations in Catenin beta-1 (CTNNB1), and chromosome 6 monosomy. SHH tumors contain mutations and alterations in GLI1, GLI2, SUFU, and PTCH1 genes, which constitutively activate the SHH pathway. Originally, the presence of TP53 gene alterations and/or MYC amplifications was considered the most reliable prognostic factor. However, recent molecular analyses have subdivided SHH MB into several subtypes with distinct characteristics such as age, TP53 mutation, MYC amplification, presence of metastases, TERT promoter alterations, PTEN loss, and other chromosomal alterations as well as SHH pathway-related gene mutations. The third non-WNT/non-SHH MB (Group3/4) subgroup is genetically highly heterogeneous and displays several molecular patterns, including MYC and OTX2 amplification, GFI1B activation, KBTBD4 mutation, GFI1 rearrangement, PRDM6 enhancer hijacking, KDM6A mutation, LCA histology, chromosome 10 loss, isochromosome 17q, SNCAIP duplication, and CDK6 amplification. However, based on molecular profiling and methylation patterns, additional non-WNT/non-SHH MB subtypes have been described. Recent WHO (2021) guidelines stratified MB into four molecular subgroups with four and eight further subgroups for SHH and non-WNT/non-SHH MB, respectively. In this review, we discuss advancements in genetics, epigenetics, and transcriptomics for better characterization, prognostication, and treatment of MB using precision medicine

    Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success

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    PURPOSE OF REVIEW: Neurocritical care combines the complexity of both medical and surgical disease states with the inherent limitations of assessing patients with neurologic injury. Artificial intelligence (AI) has garnered interest in the basic management of these complicated patients as data collection becomes increasingly automated. RECENT FINDINGS: In this opinion article, we highlight the potential AI has in aiding the clinician in several aspects of neurocritical care, particularly in monitoring and managing intracranial pressure, seizures, hemodynamics, and ventilation. The model-based method and data-driven method are currently the two major AI methods for analyzing critical care data. Both are able to analyze the vast quantities of patient data that are accumulated in the neurocritical care unit. AI has the potential to reduce healthcare costs, minimize delays in patient management, and reduce medical errors. However, these systems are an aid to, not a replacement for, the clinician\u27s judgment

    Machine Learning and Artificial Intelligence in Neurocritical Care: A Specialty-Wide Disruptive Transformation or a Strategy for Success

    No full text
    PURPOSE OF REVIEW: Neurocritical care combines the complexity of both medical and surgical disease states with the inherent limitations of assessing patients with neurologic injury. Artificial intelligence (AI) has garnered interest in the basic management of these complicated patients as data collection becomes increasingly automated. RECENT FINDINGS: In this opinion article, we highlight the potential AI has in aiding the clinician in several aspects of neurocritical care, particularly in monitoring and managing intracranial pressure, seizures, hemodynamics, and ventilation. The model-based method and data-driven method are currently the two major AI methods for analyzing critical care data. Both are able to analyze the vast quantities of patient data that are accumulated in the neurocritical care unit. AI has the potential to reduce healthcare costs, minimize delays in patient management, and reduce medical errors. However, these systems are an aid to, not a replacement for, the clinician\u27s judgment

    Involvement of mTOR Pathways in Recovery from Spinal Cord Injury by Modulation of Autophagy and Immune Response

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    Traumatic spinal cord injury (SCI) is untreatable and remains the leading cause of disability. Neuroprotection and recovery after SCI can be partially achieved by rapamycin (RAPA) treatment, an inhibitor of mTORC1, complex 1 of the mammalian target of rapamycin (mTOR) pathway. However, mechanisms regulated by the mTOR pathway are not only controlled by mTORC1, but also by a second mTOR complex (mTORC2). Second-generation inhibitor, pp242, inhibits both mTORC1 and mtORC2, which led us to explore its therapeutic potential after SCI and compare it to RAPA treatment. In a rat balloon-compression model of SCI, the effect of daily RAPA (5 mg/kg; IP) and pp242 (5 mg/kg; IP) treatment on inflammatory responses and autophagy was observed. We demonstrated inhibition of the mTOR pathway after SCI through analysis of p-S6, p-Akt, and p-4E-BP1 levels. Several proinflammatory cytokines were elevated in pp242-treated rats, while RAPA treatment led to a decrease in proinflammatory cytokines. Both RAPA and pp242 treatments caused an upregulation of LC3B and led to improved functional and structural recovery in acute SCI compared to the controls, however, a greater axonal sprouting was seen following RAPA treatment. These results suggest that dual mTOR inhibition by pp242 after SCI induces distinct mechanisms and leads to recovery somewhat inferior to that following RAPA treatment

    Noninvasive Multimodality Cerebral Monitoring Modalities in Neurosurgical Critical Care

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    Ovaj rad objašnjava pojam održivog razvoja turizma na primjeru odabrane turističke destinacije Dubrovnika. Prilikom razvoja masovnog turizma u gradu se javljaju brojni problemi. Proučen je pojam održivog turizma kroz načela i ciljeve razvoja. Proučavanju problema razvoja turizma u Dubrovniku pristupilo se kratkim prikazom općih podataka i resursa kojima grad raspolaže. Također, analiziraju se turistička obilježja poput ponude, potražnje i turističke zajednice. U gradu su prisutni brojni problemi nastali povećanim brojem posjeta koji nisu popraćeni adekvatnim upravljanjem. Razvoj turizma koji ne prati smjernice održivog razvoja doveo je Dubrovnik do stanja u kojem se sada nalazi. Gospodarstvo se oslanja isključivo na turizam dok su ostale djelatnosti zanemarene. Uz iskorištavanje ograničenih resursa i nedovoljnu brigu o kvaliteti života raste nezadovoljstvo građana te se budućnost pozitivnih učinaka turizma dovodi u pitanje.This research explains the concept of sustainable tourism development in the case of Dubrovnik as a tourist destination. Numerous problems occur with the development of mass tourism in the city. Sustainable tourism was studied through the principles and goals of development. Problem of tourism development in Dubrovnik was studied through a brief overview of general data and resources available to the city. Also, characteristics of tourism such as supply, demand and the tourist board are analyzed. There are abundant problems in the city caused by the increased number of visits, which are not accompanied by adequate management. The development of tourism that does not follow the guidelines of sustainable development has brought Dubrovnik to its present state. The economy relies solely on tourism, while neglecting other activities. With the use of limited resources and insufficient care for quality of life, there is a growing dissatisfaction among citizens and the future of the positive tourism effects is at stake

    Understanding the Biological Basis of Glioblastoma Patient-Derived Spheroids

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    BACKGROUND/AIM: Resistance to glioblastoma (GB) therapy is attributed to the presence of glioblastoma stem cells (GSC). Here, we defined the behavior of GSC as it pertains to proliferation, migration, and angiogenesis. MATERIALS AND METHODS: Human-derived GSC were isolated and cultured from GB patient tumors. Xenograft GSC were extracted from the xenograft tumors, and spheroids were created and compared with human GSC spheroids by flow cytometry, migration, proliferation, and angiogenesis assays. Oct3/4 and Sox2, GFAP, and Ku80 expression was assessed by immunoanalysis. RESULTS: The xenograft model showed the formation of two different tumors with distinct characteristics. Tumors formed at 2 weeks were less aggressive with well-defined margins, whereas tumors formed in 5 months were diffuse and aggressive. Expression of Oct3/4 and Sox2 was positive in both human and xenograft GSC. Positive Ku80 expression in xenograft GSC confirmed their human origin. Human and xenograft GSC migrated vigorously in collagen and Matrigel, respectively. Xenograft GSC displayed a higher rate of migration and invasion than human GSC. CONCLUSION: Human GSC were more aggressive in growth and proliferation than xenograft GSC, while xenograft GSC had increased invasion and migration compared to human GSC. A simple in vitro spheroid system for GSC provides a superior platform for the development of precision medicine in the treatment of GB

    Acute Subdural Hematomas Secondary to Aneurysmal Subarachnoid Hemorrhage Confer Poor Prognosis: a National Perspective

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    BACKGROUND: Aneurysmal ruptures typically cause subarachnoid bleeding with intraparenchymal and intraventricular extension. However, rare instances of acute aneurysmal ruptures present with concomitant, non-traumatic subdural hemorrhage (SDH). We explored the incidence and difference in outcomes of SDH with aneurysmal subarachnoid hemorrhage (aSAH) as compared with aSAH alone. METHODS: Retrospective cohort study from 2012 to 2015 from the National (Nationwide) Inpatient Sample (NIS) (20% stratified sample of all hospitals in the United States). NIS database (2012 to September 2015) queried to identify all patients presenting with aSAH. From this population, the patients with concomitant SDH were identified. RESULTS: A total of 10 075 patients with both cerebral aneurysms and aSAH were included. Of these, 335 cases of concomitant SDH and aSAH were identified. There was no significant change in the rate of SDH in aSAH over time. SDH with aSAH patients had a mortality of 24% compared with 12% (p=0.003) in the SAH only group, and only 16% were discharged home vs 37% (p=0.003) in the SAH group. CONCLUSIONS: There is a 3.5% incidence of acute SDH in patients presenting with non-traumatic aSAH. Patients with SDH and aSAH have nearly double the mortality, higher rate of discharge to nursing home and rehabilitation, and a significantly lower rate of discharge to home and return to routine functioning. This information is useful in counseling and prognostication of patients with concomitant SDH and aSAH
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