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Introduction: Plastic surgery is an essential yet underdeveloped field in many African nations, especially in rural areas. The demand for plastic surgery is increasing, but differences in access to respective services between rural and urban domiciles remain ever existent, despite the exponentiation of trauma, burns, and congenital disorders. According to this review, urban areas have access to better facilities and specialized surgeons, while rural areas frequently lack infrastructure, educated healthcare personnel, and medical resources. This review compares the quality and accessibility of plastic surgery services in African rural and urban settings in order to determine the variables influencing said differences in access., Methods: This literature review was performed using electronic search databases comprising PubMed/MEDLINE, Google Scholar, and Africa Journals online (AJOL). Regional medical journals were also reviewed using keywords and associated Boolean operators pertaining to "plastic surgery", "plastic surgery in rural" and plastic surgery in urban" by selecting studies based on their relevance and content quality. Studies focusing on plastic surgery in Africa were included. A total of 37 articles were analyzed to provide insights into the disparities between rural and urban access to plastic surgery services in Africa. Studies not focusing on plastic surgery were excluded., Results: The review highlighted significant disparities in access to plastic surgery services between Africa's rural and urban areas. Rural areas usually lack medical resources, specialized surgeons, infrastructure, while urban areas have access to better facilities and specialized surgeons. Urban regions not only hail more training opportunities for surgeons but also foster further specialized facilities, greater training options, access to modern surgical equipment, sterile facilities and advanced instruments, contributing to clinical and surgical excellence alongside patient satisfaction and outcomes. However, there is a scarcity of qualified plastic surgeons in rural regions, including antiquated technology and a dearth of resources and expertise. Besides, socioeconomic variables that hinder said indifference between rural and urban areas, such as poverty, education, money, and cultural attitudes, precipitated limited access to critical surgical intervention in rural populations., Conclusion: Further research should be done on how plastic surgery services differ in urban and rural areas. Availability of financial expertise and specialists who can provide specialized care in rural settings is recommended. To enhance patient outcomes, the implementation of technological innovation, improved healthcare infrastructure, and effective training initiatives should be implemented in rural Africa. Also, in the field of plastic surgery, emphasizing the use of telemedicine and mobile surgical units may aid universal healthcare for residents in rural domiciles. Significant progress towards ensuring equitable access to high-quality plastic surgery in rural Africa may be achieved through these initiatives., Competing Interests: Declarations. Ethics approval and consent to participate: Not Applicable. Consent for publication: Not Applicable. All co-authors approved the final manuscript. All co-authors have read and approved the submission. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

Motivated by the cellular heterogeneity in complex tissues, particularly in brain and induced pluripotent stem cell (iPSC)-derived brain models, we developed a complete workflow to reproducibly characterize cell types in complex tissues. Our approach combines a flow cytometry (FC) antibody panel with our computational pipeline CelltypeR, enabling dataset aligning, unsupervised clustering optimization, cell type annotating, and statistical comparisons. Applied to human iPSC derived midbrain organoids, it successfully identified the major brain cell types. We performed fluorescence-activated cell sorting of CelltypeR-defined astrocytes, radial glia, and neurons, exploring transcriptional states by single-cell RNA sequencing. Among the sorted neurons, we identified subgroups of dopamine neurons: one reminiscent of substantia nigra cells most vulnerable in Parkinson's disease. Finally, we used our workflow to track cell types across a time course of organoid differentiation. Overall, our adaptable analysis framework provides a generalizable method for reproducibly identifying cell types across FC datasets in complex tissues., Competing Interests: The authors declare no competing interests., (© 2024 The Authors.)

Background: Sepsis is one of the most common causes of multiorgan failure. Sepsis requires the presence of infection with a resultant systemic inflammatory state. Organ dysfunction occurs from the combination of the two processes. Sepsis is the main cause of mortality at intensive care units, with 30-50% mortality rate for all septic episodes. MicroRNA (miRNA) profile data could be beneficial as a specific diagnostic biomarker for sepsis and systemic inflammatory response syndrome (SIRS)., Methods: Expression of miRNAs -122, -181b, -223 and -146a levels were assayed by quantitative real time polymerase chain reaction (qRT-PCR) in a prospective case control study, where forty septic cases were compared to 40 healthy controls of matched age and gender., Results: miRNAs -122 and -181b were significantly upregulated during early septic conditions, indicating that they could be sensitive and specific biomarkers for diagnosing sepsis. miRNA-223 and miRNA-146a could also represent highly specific and sensitive diagnostic biomarkers, as they were found to be significantly down-regulated. Serum levels of miRNA-223 could be used to predict poor prognosis with 70% sensitivity and 75% specificity, whereas the other three miRNAs could not predict prognosis., Conclusion: Our study shows that all tested miRNAs can be used for early detection of sepsis, with miRNA-223 being predictive of mortality, hence preventing multi-organ failure and reducing mortality, and predicting poor outcomes, thereby assisting in early categorization of ICU patients for rapid appropriate treatment and medico legal aspects.