CD200+ fibroblasts form a pro-resolving mesenchymal network in arthritis.

Fibroblasts are important regulators of inflammation, but whether fibroblasts change phenotype during resolution of inflammation is not clear. Here we use positron emission tomography to detect fibroblast activation protein (FAP) as a means to visualize fibroblast activation in vivo during inflammation in humans. While tracer accumulation is high in active arthritis, it decreases after tumor necrosis factor and interleukin-17A inhibition. Biopsy-based single-cell RNA-sequencing analyses in experimental arthritis show that FAP signal reduction reflects a phenotypic switch from pro-inflammatory MMP3+/IL6+ fibroblasts (high FAP internalization) to pro-resolving CD200+DKK3+ fibroblasts (low FAP internalization). Spatial transcriptomics of human joints indicates that pro-resolving niches of CD200+DKK3+ fibroblasts cluster with type 2 innate lymphoid cells, whereas MMP3+/IL6+ fibroblasts colocalize with inflammatory immune cells. CD200+DKK3+ fibroblasts stabilized the type 2 innate lymphoid cell phenotype and induced resolution of arthritis via CD200-CD200R1 signaling. Taken together, these data suggest a dynamic molecular regulation of the mesenchymal compartment during resolution of inflammation.

Microglial expression of CD83 governs cellular activation and restrains neuroinflammation in experimental autoimmune encephalomyelitis.

Microglial activation during neuroinflammation is crucial for coordinating the immune response against neuronal tissue, and the initial response of microglia determines the severity of neuro-inflammatory diseases. The CD83 molecule has been recently shown to modulate the activation status of dendritic cells and macrophages. Although the expression of CD83 is associated with early microglia activation in various disease settings, its functional relevance for microglial biology has been elusive. Here, we describe a thorough assessment of CD83 regulation in microglia and show that CD83 expression in murine microglia is not only associated with cellular activation but also with pro-resolving functions. Using single-cell RNA-sequencing, we reveal that conditional deletion of CD83 results in an over-activated state during neuroinflammation in the experimental autoimmune encephalomyelitis model. Subsequently, CD83-deficient microglia recruit more pathogenic immune cells to the central nervous system, deteriorating resolving mechanisms and exacerbating the disease. Thus, CD83 in murine microglia orchestrates cellular activation and, consequently, also the resolution of neuroinflammation.

Relationship between health literacy and generalized anxiety disorder during the COVID-19 pandemic in Khuzestan province, Iran.

Introduction: During the COVID-19 pandemic, many changes occurred in various cultural, social, and economic fields, leading to the creation of psychological effects, especially anxiety, in the community. Fear and anxiety about emerging diseases (COVID-19) and less participation in preventive behaviors reduce individual resistance and ultimately lower one's quality of life. Therefore, we aimed to investigate the relationship between health literacy and generalized anxiety disorder during the COVID-19 pandemic in Khuzestan province, Iran. Methods: This was a descriptive-analytical (cross-sectional) study conducted among participants aged 18-65 in Khuzestan province during the years 2020-2021 through online sampling. Due to the prevalence of COVID-19 and the impossibility of face-to-face communication, the questionnaire was designed on the Porseline Survey website and the questionnaire link was provided to participants through WhatsApp and Telegram. The data collection tool includes the Iranian Health Literacy Questionnaire, which includes 33 items, and the Generalized Anxiety Disorder-7 scale, which has 7 items based on a Likert scale. Data analysis was performed using STATA14 software and descriptive and analytical statistical tests at a significant level less than 0.05. Results: The mean (standard deviation) score for health literacy was 52.9 ± 9.3 and for generalized anxiety disorder was 5.2 ± 3.1. A significant negative correlation was found between the mean of anxiety disorder and health literacy (p < 0.05). The frequency of health literacy in individuals included 427 (37.8%) with inadequate health literacy, 628 (55.6%) with marginal health literacy, and 75 (6.6%) with sufficient health literacy. There was a statistically significant difference between the mean of generalized anxiety disorder among individuals with different levels of health literacy (p < 0.05). Conclusion: As the level of health literacy increases, the prevalence of generalized anxiety disorder caused by fear of COVID-19 decreases. Therefore, increasing awareness and health literacy about this virus, its transmission, and prevention methods is very effective in managing anxiety and stress caused by COVID-19. Paying attention to the issue of health literacy and generalized anxiety disorder, and promoting preventive behaviors can be effective tools for planners, health officials, and policymakers to promote health literacy for any type of disease.

Exploring the Influence of Users' Characteristics in Continuance Intention to Use Electronic Medical Records (EMR): Extending the Expectation Confirmation Model (ECM).

Even though the "user characteristics" (UC) can influence "acceptance" and "the continuance intention to use" of information systems such as electronic medical records (EMR), the effect of UC has not been adequately evaluated in post-adoption models. This study seeks to examine the effect of UC on post-usage of EMR using the expectation confirmation model (ECM). A total of 450 questionnaires was collected by a survey to extend ECM by integrating UC using structural equation modeling (SEM). Data were analyzed using LISREL through confirmatory factor analysis. A path analysis test was also performed to fit and confirm the model fit. The UC affects the "confirmation of expectations" directly and the "continuance intention to use" indirectly. The findings of the present study can provide a new path for further research on the extending of the ECM model. Moreover, end users' characteristics should be considered in the preparation and training phases of EMR implementation.

Ibn Sina's (Avicenna) Contributions in the Treatment of Traumatic Injuries.

Modern medicine owes much to the endeavours and contributions made by the ancients that are unfortunately anonymous or even neglected intentionally today. This study was done to give attention to "the ancient golden times", as the author believes it deserves the nomination, to give credit to the manner our ancient physicians and masters practiced medicine and managed traumas in particular in a way that remains still unrivalled. Undoubtedly such masters as Galen of Pergamon, Hippocrates, Paul of Aegina and Avicenna paved the road for the so-called modern medicine and trauma surgery. Focus of this study is on Ibn Sina or Avicenna as the westerners call him and his methods in handling traumas of any kind and with any severity in the eleventh century based on the teachings handed down to him from the ancients; but he was not a mere imitator. What made him Avicenna was his genius talent in arranging the puzzles in such a way that was not even imagined by the others.