METHODS: Exosomes were isolated by ultracentrifugation and characterized using nanoparticle tracking analysis (NTA), scanning electron microscopy (SEM), and Western blot. The effect of exosomes in modulating monocyte phenotypes as well as cytokine secretion were further assessed in a co-culture condition using flow cytometry and ELISA accordingly.
RESULTS: Exosomes were identified as spherical particles with a size distribution ranging from 30 nm to 150 nm. These nanoparticles intensely expressed exosome protein markers including CD9, CD63, CD81, and HSP70. The expression of HLA-DR, CD14, and CD11b on monocytes decreased in the presence of exosomes after 24 h of incubation, regardless of the dose. Exosomes significantly induced the release of anti-inflammatory cytokines IL-1Ra in a time- and dose-dependent manner, while TNF-α secretion remains unchanged regardless of the presence or absence of exosomes.
CONCLUSION: This study highlights the immunoregulatory role of exosomes on monocytes, emphasizing the need for further studies into the underlying mechanism.
METHODS: English literature was searched by structured queries related to our review between January 1, 2020, and December 31, 2024.
RESULTS: The key resistance mechanisms in CRE, such as enzymatic hydrolysis, decreased permeability, and efflux pump overexpression, have been examined in this review. Computational technologies have become pivotal in discovering novel antimicrobial agents with improved accuracy and efficiency. Besides this, the review highlights the advances in structure- and ligand-based drug discovery approaches for identifying potential drugs against CRE. Recent studies demonstrating the use of such in silico techniques to develop targeted drugs against CRE have also been explored. Moreover, this review also underscores the significance of integrating both in silico and in vitro techniques to counter resistance in Enterobacterales, supported by the latest studies. However, these promising computational technologies have a few major drawbacks, such as a lack of standardized parameterization, potentially false positives, and the complexity of effective clinical translations. The drug regulatory barriers also restrict the progress of new antimicrobials for market approval.
CONCLUSION: The use of computational technologies for antimicrobial inhibitor discovery is gaining popularity, and it can be expedited by refining computational techniques and integrating them with reliable in vitro validation. The use of innovative hybrid in silico and in vitro technologies is the need of the hour to tackle CRE and mitigate the global threat of antimicrobial resistance.
METHODS: Ninety participants aged 18-40 years with at least one year of night driving experience were recruited. Tear film stability was assessed using non-invasive tear break-up time (NIBUT), while dry eye symptoms were measured with the Ocular Surface Disease Index (OSDI). Night driving vision difficulties were evaluated using the Vision and Night Driving Questionnaire (VND-Q).
RESULTS: Participants with shorter NIBUT (mean = 3.95 ± 1.32 s; median = 3.97 s, IQR: 2.87-5.03 s) reported significantly greater difficulties in night driving compared to those with normal NIBUT (mean = 9.80 ± 3.86 s; median = 8.23 s, IQR: 6.90-11.70 s) (p
METHODOLOGY: A cross-sectional survey was conducted among 1,120 students from August 18 to September 10, 2025. We recruited participants from a single college through class-based online channels using convenience sampling. Standardized scales assessed bullying experiences, anxiety, depression, PTSD symptoms, and psychological resilience.
RESULTS: A total of 241(21.5%) students reported being bullied, and 101(9.0%) reported bullying others. Mann-Whitney U tests showed no significant effects of age and ethnicity on the four mental health indicators (all p > 0.05). Gender and family residence groups exhibited statistically significant differences in GAD-7 and PHQ-9 scores; additionally, family residence groups differed in CD-RISC-25 scores (p
METHODS: Scopus, Web of Science, PubMed and Ovid MEDLINE were systematically searched for published articles. Articles were screened based of inclusion and exclusion criteria. The inclusion criteria were: (1) published in 2010-2020, (2) full original article, (3) written in English, (4) qualitative, mixed-methods article, observational or interventional study. The exclusion criteria were: (1) animal study, (2) in vivo/in vitro study, (3) type 1 diabetes or gestational DM and (4) conference abstract, book chapter, report, and systematic review. Eligible articles were assessed using Mixed Methods Appraisal Tool (MMAT) by three assessors.
RESULTS: A total of 11 articles were selected for qualitative synthesis from the initial 620 articles. The issues and challenges seen in T2DM primary prevention followed three themes: healthcare program (sub-themes: lack of resources, community partnership, participation, health literacy), health provider (sub-themes: lack of implementation, health care staff, collaboration, availability), individual (sub-themes: awareness, communication, misbehaviour, family conflict).
CONCLUSION: Factors relating to healthcare programmes, health providers, and individual issues are the main challenges in T2DM primary prevention. By establishing sustainable preventative initiatives that address these issues and challenges in the primary prevention of T2DM, a reduction in T2DM prevalence could be achievable.