Origin of profunda femoris artery and its circumflex femoral branches: anatomical variations and clinical significance

Background: Knowledge of the anatomical variations of the profunda femoris artery and its circumflex branches is important during angiographic diagnostic procedures as well as during performing surgery in the femoral region. The aim of this study was to examine the original sites, distances and variations of the profunda femoris artery and its circumflex branches. Materials and methods: The study was conducted in the Department of Anatomy, Faculty of Medicine, King Abdulaziz University from October, 2011 to May, 2013 after the approval of the medical ethical committee. Dissections of 90 femoral triangles of 25 male and 20 female adult human cadavers were performed to demonstrate the origin and distribution of the profunda femoris artery and its circumflex branches. Results: The profunda femoris artery mostly originated from the posterolateral aspect of the femoral artery in 42% of male limbs and in 42.5% of female limbs, from the posterior side in 24% of male and 27.5% of female limbs, from the lateral side in 20% of males and female limbs and from the posteromedial aspect in 14% of male limbs and in 7.5% of female limbs. The mean distance of origin of profunda femoris artery from the midpoint of inguinal ligament was 51.5 ± 1.9 mm in right male, 49.7 ± 1.9 mm in left male, 48.5 ± 2.2 mm in right female and 48.9 ± 2.2 mm in left female limbs. The medial and lateral circumflex arteries originated mostly from the profunda femoris artery (60% in males; 57.7% in females) at a mean distance of 18.6 ± 2.1 mm and 20.2 ± 2.2 mm in right male, 19.6 ± 1.9 mm and 22.5 ± 2.3 mm in left male, 18.8 ± 2.7 mm and 21 ± 2.6 mm in right female and 19.1 ± 2.1 mm and 21.7 ± 2.6 mm in left female limbs, respectively. The original incidence of the medial and lateral circumflex femoral arteries from the femoral artery including the common trunk was 40% in male and 42.3% in female limbs. Conclusions: Awareness of the original sites and distances of the profunda femoris artery and its circumflex femoral branches will allow the surgeon to define the vascular pattern before performing any invasive procedure and to avoid unexpected iatrogenic injuries

Anandamide Inudced Anti-Convulsion in an

ABSTRACT. In both in vitro and in vivo models of epilepsy, cannabinoids had anti-convulsant properties, which have been shown to be mediated through activation of central cannabinoid type 1 (CB 1 ) receptors The current study used 24 adult Sprague-Dawely rats to investigate the effects of endogenously occurring cannabinoids (endocannabinoids) on epileptiform activity induced by picrotoxin. Extracellular recordings were made from stratum pyramidale of the CA 1 region of hippocampal slices maintained in a submersion type recording chamber. Stimulation with single pulses evoked population spikes of approximately equal amplitude. Using single pulse stimulation, perfusion of 0.5 µM picrotoxin caused a small increase in the amplitude of the first population spike, and caused epilepsy by introducing a second or multiple population spikes. In the presence of picrotoxin, anandamide reduced the amplitude of both the first population spike (PS1) and the second population spike (PS2), thus reducing the epilepsy. The CB 1 receptor antagonist, AM 281 (500 nM) had no effect on responses recorded in the presence of picrotoxin, but totally blocked the effect of subsequently perfused anandamide. The results showed that anandamide caused an anti-convulsion effect. Furthermore, these results implicate the cannabinoid CB 1 receptor as a major endogenous site of seizure modulation

Leadership in a crisis: doing things differently, doing different things.

This article summarises the findings from a review of publications related to healthcare leadership that were published during the first wave of the COVID-19 crisis in 2020. The review discusses a range of strategies for leaders to adopt in challenging situations and identifies three aspects of leadership which are considered essential when leading teams during a crisis: 1) communication, 2) decision making and 3) mental health and wellbeing. This article identifies key principles for each of these three aspects and provides practical tips for how leaders can use the lessons learned from the pandemic in their own contexts

Goal Programming and Mathematical Modelling for Developing a Capacity Planning Decision Support System-Based Framework in Higher Education Institutions

Achieving the Saudi Kingdom’s vision 2030 in the higher education sector requires higher education institutions to make a significant simultaneous change in their current practices. This encompasses the transitioning of government-funded educational institutions to be financially independent. Therefore, a prompt, agile transition is required while maintaining a positive socioeconomic impact, entrepreneurship and innovation, and high-quality education. This necessitates the transition to lean processes and the review of current practices. One of the most vital processes in educational institutions is student admission/enrollment capacity planning. This study puts forward a capacity planning decision support system (DSS)-based framework for university student enrollment. The framework was applied to the case of KAU, where current practice and challenges are presented, and from which data were collected. A top-down/bottom-up approach was followed and applied using the goal programming technique and a developed mathematical model, respectively. Results show that the proposed framework effectively affects student admission/enrollment capacity planning on strategic and operational levels. Moreover, it can be used in other planning aspects of higher education in universities, such as human resources planning, teaching load planning, faculty-to-student ratios, accreditation, quality requirements, lab capacity planning, equipment/teaching aids procurement, and financial planning, to mention a few. The implications of this study include assisting decision-makers in higher education institutions in matching their admission/enrollment capacity of student numbers between the macro-strategic and the micro-operational level

Goal Programming and Mathematical Modelling for Developing a Capacity Planning Decision Support System-Based Framework in Higher Education Institutions

Achieving the Saudi Kingdom’s vision 2030 in the higher education sector requires higher education institutions to make a significant simultaneous change in their current practices. This encompasses the transitioning of government-funded educational institutions to be financially independent. Therefore, a prompt, agile transition is required while maintaining a positive socioeconomic impact, entrepreneurship and innovation, and high-quality education. This necessitates the transition to lean processes and the review of current practices. One of the most vital processes in educational institutions is student admission/enrollment capacity planning. This study puts forward a capacity planning decision support system (DSS)-based framework for university student enrollment. The framework was applied to the case of KAU, where current practice and challenges are presented, and from which data were collected. A top-down/bottom-up approach was followed and applied using the goal programming technique and a developed mathematical model, respectively. Results show that the proposed framework effectively affects student admission/enrollment capacity planning on strategic and operational levels. Moreover, it can be used in other planning aspects of higher education in universities, such as human resources planning, teaching load planning, faculty-to-student ratios, accreditation, quality requirements, lab capacity planning, equipment/teaching aids procurement, and financial planning, to mention a few. The implications of this study include assisting decision-makers in higher education institutions in matching their admission/enrollment capacity of student numbers between the macro-strategic and the micro-operational level

Αlpha-synuclein levels in blood plasma from LRRK2 mutation carriers.

The diagnosis of Parkinson's disease (PD) remains primarily a clinical issue, based mainly on phenotypic patterns. The identification of biomarkers capable of permitting the preclinical detection of PD is critically needed. α-Synuclein is a key protein in PD, with missense and multiplication mutations in the gene encoding α-synuclein (SNCA) having been reported in familial cases of PD, and accumulation of the protein identified in Lewy bodies (LBs) and Lewy neurites (LNs) in affected brain regions. With the objective of validating the use of α-synuclein as a clinical or progressive biomarker in an accessible tissue, we used an enzyme-linked immunosorbent assay (ELISA) to measure α-synuclein levels in the peripheral blood plasma of idiopathic PD and LRRK2 mutation carrier patients and compared our findings with healthy control subjects. Compared to healthy controls, we found a significant decrease in plasma total α-synuclein levels in idiopathic PD (iPD) patients (n = 134, p = 0.010). However, the reduction was less significant in patients who were LRRK2 mutation carriers (n = 32, p = 0.133). This lack of significance could be due to the small number of individuals employed in this group. No predictive value of total α-synuclein in the diagnosis of PD was found in a receiver operating characteristic (ROC) curve analysis. Although this is a pilot study requiring corroboration on a larger cohort of patients, our results highlight the possible use of plasma α-synuclein as a biomarker for PD

Ginsenoside Rb1 inhibits fibrillation and toxicity of alpha-synuclein and disaggregates preformed fibrils

Compelling evidence indicates that α-synuclein (α-syn) aggregation plays a central role in the pathogenesis of Parkinson's disease (PD) and other synucleinopathies. Identification of compounds that inhibit or reverse the aggregation process may thus represent a viable therapeutic strategy against PD and related disorders. Ginseng is a well-known medicinal plant that has been used in East Asia for more than two thousand years to treat several conditions. It is now understood that the pharmacological properties of ginseng can be attributed to its biologically active components, the ginsenosides, which in turn have been shown to have neuroprotective properties. We therefore sought to determine for the first time, the potential of the most frequently used and studied ginsenosides, namely Rg1, Rg3 and Rb1, as anti-amyloidogenic agents. The effect of Rg1, Rg3 and Rb1 on α-syn aggregation and toxicity was determined by an array of biophysical, biochemical and cell-culture-based techniques. Among the screened ginsenosides, only Rb1 was shown to be a potent inhibitor of α-syn fibrillation and toxicity. Additionally, Rb1 exhibited a strong ability to disaggregate preformed fibrils and to inhibit the seeded polymerization of α-syn. Interestingly, Rb1 was found to stabilize soluble non-toxic oligomers with no β-sheet content, that were susceptible to proteinase K digestion, and the binding of Rb1 to those oligomers may represent a potential mechanism of action. Thus, Rb1 could represent the starting point for designing new molecules that could be utilized as drugs for the treatment of PD and related disorders.Sheikh Hamdan Bin Rashid Al Maktoum Award for Medical Sciences (Dubai, UAE; Grant MRG-23/2005–2006). This study was made possible by NPRP grant 4-1371-1-223 from the Qatar National Research Fund (a member of Qatar Foundation). DE is also supported by NIH/NIA grant AG019391. MA was supported by United Arab Emirates University — PhD scholarship