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Aim: To develop and characterize doxorubicin-loaded sodium selenite nanoparticles (SSNP-DOX) and their surface attachment with cetuximab (mAb-SSNP-DOX). Methods: SSNP-DOX was formulated by gelation and then conjugated with cetuximab to form mAb-SSNP-DOX. Characterization included DLS, SEM, TEM, DSC, Raman spectroscopy and XRD. In vitro , the kinetics of doxorubicin release and cytotoxicity in MCF-7 breast cancer cells were investigated. Results: The zeta potential for SSNP-DOX and mAb-SSNP-DOX was -14.4 ± 10.1 mV and -27.5 ± 7.28 mV, with particle sizes of 181.3 nm and 227.5 nm, respectively. The formulation intensity was 89.7% for SSNP-DOX and 100% for mAb-SSNP-DOX, with PDI values of 0.419 and 0.251, respectively. SEM and TEM showed that mAb-SSNP-DOX was smooth and spherical. The DSC analysis revealed exothermic peaks at 102.44°C for SSNP-DOX and 144.21°C for mAb-SSNP-DOX, along with endothermic peaks at 269.19°C and 241.6°C, respectively. Raman spectroscopy showed a higher intensity for mAb-SSNP-DOX. The XRD study showed different peaks for each formulation. Both followed zero order kinetics for doxorubicin release. Cytotoxicity studies showed significant effects and high apoptosis in MCF-7 cells for both formulations. Conclusion: The mAb-SSNP-DOX showed promising properties, more effective doxorubicin release and higher cytotoxicity against breast cancer cells compared with SSNP-DOX.

Background: Crohn's disease is a chronic, relapsing form of inflammatory bowel disease marked by severe gastrointestinal inflammation and a broad range of debilitating symptoms. Despite advances in medical treatments, achieving sustained remission remains challenging for many patients. This umbrella review aims to consolidate evidence from various systematic reviews to evaluate the efficacy and safety of stem cell therapies in treating Crohn's disease., Methods: This review followed the Joanna Briggs Institute methodology and adhered to PRISMA guidelines. A literature search of PubMed, Web of Science, Embase, and the Cochrane Library covered records up to April 20, 2024. Only systematic reviews and meta-analyses on stem cell therapy for Crohn's disease were considered. Data were extracted and analyzed for clinical efficacy indicators like remission induction and safety metrics, including adverse events and mortality rates., Results: Sixteen systematic reviews were included, spanning studies conducted between 2009 and 2023. Stem cell therapy showed a pooled risk ratio (RR) of 1.299 (95% CI: 1.192 to 1.420) for clinical remission, indicating a 29.9% increased likelihood of remission compared to controls. The pooled RR for healing perianal Crohn's disease was 1.358 (95% CI: 1.13 to 1.631), suggesting a 35.8% increased likelihood of healing. A pooled RR of 1.481 (95% CI: 1.036 to 2.116) shows a 48.1% higher immediate fistula closure rate with stem cell therapy. For long-term outcomes, a RR of 1.422 (95% CI: 1.091 to 1.854) indicates a 42.2% increased likelihood of maintaining closure. However, stem cell therapy did not significantly impact Crohn's Disease Activity Index (CDAI) (RR: 1.154, 95% CI: 0.193 to 6.883) and Perianal Disease Activity Index (PDAI) scores (mean difference at 12 weeks: -0.505, 95% CI: -2.481 to 1.471; mean difference at 24 weeks: -0.338, 95% CI: -1.638 to 0.963). The safety profile was comparable to conventional therapies, with a pooled RR of 0.972 (95% CI: 0.739 to 1.278) for adverse events and 1.136 (95% CI: 0.821 to 1.572) for serious adverse events., Conclusion: Stem cell therapy offers significant progress in treating Crohn's disease, particularly in complex cases, by improving fistula closure rates and suggesting potential as a supplementary therapy. Its safety profile aligns with conventional treatments, yet ongoing clinical trials are crucial to optimize its use. Continual research will enable healthcare providers to tailor more effective treatment strategies for this challenging condition., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Objective: The objective of this study is to conduct a comprehensive bibliometric analysis to elucidate the landscape of machine learning applications in ischemia research., Methods: The analysis can be divided in three sections: part 1 scrutinizes articles and reviews with "ischemia" in their titles, while part 2 further narrows the focus to publications containing both "ischemia" and "machine learning" in their titles. Additionally, part 3 delves into the examination of the top 50 most cited papers, exploring their thematic focus and co-word dynamics., Results: The findings reveal a significant increase in publications over the years, with notable trends identified through detailed analysis. The growth in publication counts over time, the leading contributors, institutions, geographical distribution of research output and journals are numerically presented for part 1 and part 2. For the top 50 most cited papers the dynamics of co-words, which offer a nuanced understanding of thematic trends and emerging concepts, are presented. Based on the number of citations the top 10 authors were selected, and later for each, total number of publications, h-index, g-index and m-index are provided. Additionally, figures depicting the co-authorship network among authors, departments, and countries involved in the top 50 cited papers may enrich our comprehension of collaborative networks in ischemia research., Conclusion: This comprehensive bibliometric analysis provides valuable insights into the evolving landscape of machine learning applications in ischemia research., Competing Interests: Declaration of competing interest None, (Copyright © 2024 Elsevier Inc. All rights reserved.)

The project aimed to conduct an up-to-date and comprehensive bibliometric analysis of robotic surgery to provide a detailed and holistic understanding of the field. Three strategies were employed in the data analysis i.e. search terms were explored in (A) the title, abstract, and keywords and (B) only in the title of the documents. In 3rd part we analyzed the top 100 most cited papers. Vosviewer and R Studio were utilized for detailed bibliometric and network analyses. Strategy one identified 38,469 publications, and strategy two identified 6451 publications from 2001 to 2023. The top authors, universities, countries, sponsors, and sources based on the number of publications were identified for both strategies. The top 100 most cited papers were analyzed, providing the annual number of publications and various citation metrics. Top authors (by number of publications, total citations, h-index, g-index, and m-index), universities, and countries within these highly cited papers, along with their co-authorship networks and dynamics, were examined. Co-words analysis of the top 100 most cited papers revealed the primary focus of these documents across 25 categories. This comprehensive bibliometric analysis of robotic surgery highlighted significant contributions and collaborations in the field, emphasizing the importance of global and collaborative efforts in advancing robotic surgery research., (© 2024. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.)

Background: Over the past 15 years, WORLD NEUROSURGERY (WN) has emerged as a pivotal source in the neurosurgery field, reflecting remarkable growth and development. Originally published as Surgical Neurology from 1973 to 2009, the journal transitioned to its current title in 2010, significantly expanding its reach and influence., Methods: A comprehensive bibliometric analysis of WN's publications from 1973 to 2023 was performed. The analysis focused on identifying the top authors, universities, countries, and sponsors in 2 periods: 1973-2009 and 2010-2023. Additionally, the study included a detailed examination of the top 1000 most cited papers, and summary of top 10 most cited papers., Results: The analysis revealed that during the Surgical Neurology period, 6567 research documents were published, including 6503 articles and 64 reviews. Since rebranding as WN, the journal has published an additional 17,663 documents, comprising 15,366 articles and 2297 reviews up to 2023. The top contributors (authors, universities, and sponsors) were identified, and the study found that WN has successfully increased its foothold across various continents. The co-word analysis provided insights into the thematic focus of the top 1000 most cited papers, categorizing them into 15 distinct areas., Conclusions: This study underscores WN's significant role in advancing neurosurgical research over the past 5 null decades. The findings highlight the journal's evolution, its expanding global influence, and the key contributors to its success., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Research on Coffea arabica focuses on various aspects, including genetics, breeding, climate change resilience, pest and disease management, agronomy, sensory analysis, and sustainability. This study aims to analyze the hotspots, conceptual map and dynamicity, global landscape, and emerging trends in Coffea arabica research (CA-R)., Methods: A comprehensive dataset comprising data-driven articles (N = 3967) from 1932 to 2023 was extracted from Scopus using predefined search terms. VOSviewer and Bibliometrix applications were utilized to analyze the data. Thematic evolution was examined by identifying shifts in research focus over time. The global landscape was assessed by examining comparative productivity and collaborative dynamics. Highly-cited CA-R was identified to highlight key findings in specific research areas., Results: The analysis revealed a steady growth of CA-R (annual growth rate = 6.53 %), with strong international collaboration (international co-authorships = 29.35 %) and significant contributions from various countries. Brazil leads the way with 1601 publications, accounting for 28.55 % of the total. Recognizable CA-R focused on important areas such as pollination, shade management, nanotechnology applications, roasting effects, disease management, and environmental impacts. Thematic analysis identified five distinct clusters representing different CA-R themes: "coffee", "coffea," "fermentation," " Coffea arabica ," and "climate change." Emerging themes such as " in vitro culture," "sustainable agriculture," "climate change," and "coffee berry borer" were also identified., Conclusion: The current findings enhance our understanding of CA-R and lay the groundwork for future studies in the coffee industry., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)

This study investigated the antinociceptive mechanisms of khat extract (100, 200, and 400 mg/kg, i.p.) in four pain models: two thermic (hot plate, tail-flick) and two chemical (acetic acid, formalin) models. Male mice were pretreated intraperitoneally (i.p.) with the opioid receptor blocker naloxone (5 mg/kg), the cholinergic antagonist atropine (2 mg/kg), the selective α 1 blocker prazosin (1 mg/kg), the dopamine D 2 antagonist haloperidol (1.5 mg/kg), or the GABA A receptor antagonist, bicuculline (1 mg/kg) 15 minutes prior to i.p. injection of khat extract (400 mg/kg). Khat extract reduced the nociceptive response of mice in the four pain tests. Naloxone significantly inhibited the antinociceptive effect of khat extract in the hot plate, tail-flick, and the first phase of formalin tests. Bicuculline significantly antagonized the antinociceptive effect of khat extract on the hot plate and tail-flick tests. Haloperidol significantly reversed the antinociceptive effect of khat extract on the tail-flick test and the first phase of formalin test. These results provide strong evidence that the antinociceptive activity of khat extract is mediated via opioidergic, GABAergic, and dopaminergic pathways. The mechanism of the antinociceptive action of khat may be linked to the different types of pain generated in animal models.