Dendritic cells (DCs) are major contributors to generating an effective immune response due to their ability to present antigens to T cells. Recently, nanoparticles have been widely used in different medical applications, such as drug-delivery systems, to enhance the function of impaired immune cells. Objectives: This research aims to develop an effective antitumor DC-based vaccine by adsorption of chitosan-nanoparticles (CH-NPs) onto DCs. Methods: Undifferentiated mouse bone marrow progenitor cells were differentiated into mature DCs using cytokines and lipopolysaccharides. CH-NPs were prepared using the ionic gelation method and subsequently used to coat the stimulated DCs. The MTT assay was employed to assess the cytotoxicity of all formulations. To compare the antitumor effect of CH-NPs, DCs, and DCs-CH-NPs, mice were divided into five groups and injected with the respective vaccine formulations. Following immunization, flow cytometry was used to analyze DC and CD4⁺ T cell activation in blood and spleen tissues. Histological samples from the spleen and lymph nodes were also collected. Results: Our findings show that co-stimulatory molecules CD80/CD86 and the DC maturation marker CD83 were upregulated in the vaccinated DCs, indicating their maturation. Moreover, CD83, CD11c, and MHC-II were upregulated in blood and spleen samples in vivo. The DC-CH-NPs vaccinated group had a higher mean percentage of CD83 expression in blood samples (76.7 ± 17.1) compared to the DCs group (47.7 ± 11.0) and the CH-NPs group (37.7 ± 8.6). DC markers, particularly CD83, were highly expressed in spleen samples. Additionally, the DC-CH-NPs vaccinated group had a significantly higher number of CD4⁺ T cells (MFI = 26.1 ± 2.3) compared to the DCs (18.6 ± 1.6) and CH-NPs (13.3 ± 1.4) groups. Conclusions: The present study concludes that the DC-CH-NPs vaccine formulation can induce a potent in vivo immune response. These data may provide valuable insights for developing effective delivery systems for antitumor vaccines.

Background: Intraluminal thrombus (ILT) of the cervical arteries is an uncommon finding that can lead to acute or recurrent ischemic stroke. Currently, antithrombotic therapy in the form of antiplatelet and/or anticoagulation is considered the mainstay of treatment, but evidence of which one has a better outcome is lacking. Methods: A retrospective cohort study included 28 patients diagnosed with acute stroke or transient ischemic attack with ILT of the extracranial arteries from 2013 to 2022. The primary efficacy outcome was assessed as recurrent stroke, and the primary safety outcome was assessed as hemorrhagic complications. Secondary outcomes were assessed as the resolution of thrombi by CT angiography (CTA) and clinical improvement by the Modified Rankin Scale (mRS) and NIH Stroke Scale (NIHSS). Results: Out of 28 patients, more than half (57.1%; n = 16) were males with a mean age of 57.8 ± 9.5 years and an average BMI of 26.9 ± 4.5 kg/m2. As initial treatment, twenty-four patients received anticoagulation and four received antiplatelet agents. Recurrent strokes were found in four patients (14.29%), and all were initially treated with anticoagulation. One patient in the anticoagulation group had a significant retroperitoneal hemorrhage. None of the patients in the antiplatelets group had a recurrent stroke or bleeding event. Initial treatment with antiplatelet agents significantly improved the NIHSS on day 7 (P = 0.017). A significant improvement in NIHSS on day 90 was observed in the anticoagulant group (P = 0.011). In the follow-up CTA performed on 24 patients, 18 (75%) showed complete resolution (3 out of 3 (100%) in the antiplatelet group and 15 out of 21 (71.43%) in the anticoagulant group). Conclusion: Initial treatment with anticoagulants improves neurologic outcomes in patients with ILT-induced acute ischemic stroke but carries the risk of recurrent stroke and bleeding. However, initial treatment with dual antiplatelet agents appears to have comparable efficacy without sequelae, particularly in atherosclerosis-induced ILT.

Factorial design is a simple, yet elegant method to investigate the effect of multiple factors and their interaction on a specific response simultaneously. Hence, this type of study design reaches the best optimization conditions of a process. Although the interaction between the variables is widely prevalent in cell culture procedures, factorial design per se is infrequently utilized in improving cell culture output. Therefore, we aim to optimize the experimental conditions for generating mature bone marrow-derived dendritic cells (BMDCs). Two different variables were investigated, including the concentrations of the inducing factors and the starting density of the bone marrow mononuclear cells. In the current study, we utilized the design of experiments (DoE), a statistical approach, to systematically assess the impact of factors with varying levels on cell culture outcomes. Herein, we apply a two-factor, two-level (22) factorial experiment resulting in four conditions that are run in triplicate. The two variables investigated here are cytokines combinations with two levels, granulocyte–macrophage colony-stimulating factor (GM-CSF) alone or with interleukin-4 (IL4). The other parameter is cell density with two different concentrations, 2 × 106 and 4 × 106 cells/mL. Then, we measured cell viability using the trypan blue exclusion method, and a flow cytometer was used to detect the BMDCs expressing the markers FITC-CD80, CD86, CD83, and CD14. BMDC marker expression levels were calculated using arbitrary units (AU) of the mean fluorescence intensity (MFI). The current study showed that the highest total viable cells and cells yield obtained were in cell group seeded at 2 × 106 cells/mL and treated with GM-CSF and IL-4. Importantly, the expression of the co-stimulatory molecules CD83 and CD80/CD86 were statistically significant for cell density of 2 × 106 cells/mL (P < 0.01, two-way ANOVA). Bone marrow mononuclear cells seeded at 4 × 106 in the presence of the cytokine mix less efficiently differentiated and matured into BMDCs. Statistical analysis via two-way ANOVA revealed an interaction between cell density and cytokine combinations. The analysis of this study indicates a substantial interaction between cytokines combinations and cell densities on BMDC maturation. However, higher cell density is not associated with optimizing DC maturation. Notably, applying DoE in bioprocess designs increases experimental efficacy and reliability while minimizing experiments, time, and process costs.

Legionnaires’ disease (LD) is a type of severe pneumonia that mainly caused by bacteria of the genus Legionella. LD bacteria reside in the water systems of facilities where lack of water exchange or flow plays a crucial role in enhancing bacterial growth. The under-recognition of the dangers of Legionella along with easing of Coronavirus disease 2019 (COVID-19) lockdown restrictions and global reopening, pose a potential increased risk of developing LD. Various Legionella species can lead to legionellosis infections, including LD and Pontiac fever. Legionellosis cases is generally found in natural or artificial aquatic environments such as cooling towers, hot water tanks, or air conditioning. The bacteria elude the host’s immune responses by various strategies, including releasing effector proteins. Thus, this review provides insight into the microbiology, epidemiology, and host cell biology of L. pneumophila, as well as an emphasis on the bacterial novel survival strategies of L. pneumophila. Also, suggests taking intensive actions towards closed buildings as a potential source of bacterial infection.

Introduction: COVID-19-related stigma is the level of stigma associated with being involved with the pandemic. It has been reported that a significant number of healthcare workers experienced anxiety, depression, stigmatization, physical violence, harassment during the COVID-19 pandemic; even the families of the healthcare workers were victims of discrimination and stigmatization. The aim of our study was to determine the prevalence of COVID-19-related stigma among the healthcare workers in Saudi Arabia and to assess the COVID-19-related stigma, its associated factors, and burnout correlate. Methods: Web-based, self-administered questionnaire has been sent to healthcare workers’ official emails through the internal communication department in the targeted hospitals. It includes the COVID-19-related stigma-validated scale “E16-COVID19-S” and two questions relative to the full Maslach Burnout Inventory assessing the burnout. The required sample is 377 based on the sample size calculation with a response rate of 50%. Results: A total of 407 responses were received from the targeted population. Of them, 49.4% scored high on the COVID-19-related stigma scale. The correlation between the COVID-19-related stigma and burnout was found to be moderately positive and statistically significant (rs = 0.515, p= <0.001). Conclusion: It has been found that gender, workplace capacity, ever taking COVID-19 test during the pandemic had a significant impact on scoring high on the COVID-19-related stigma scale. Moreover, there is a correlation between being stigmatized during the pandemic and being burned out.