Transcriptome analysis reveals that gga-miR-2954 inhibits the inflammatory response against Eimeria tenella infection.

Coccidiosis is an important parasitic protozoan disease in poultry farming, causing huge economic losses in the global poultry industry every year. MicroRNAs (miRNAs) are a class of RNA macromolecules that play important roles in the immune response to pathogens. However, the expression profiles and functions of miRNAs during Eimeria tenella (E. tenella) infection in chickens remain mostly uncharacterized. In this study, high-throughput sequencing of cecal tissues of control (JC), resistant (JR), and susceptible (JS) chickens led to the identification of 35 differentially expressed miRNAs among the three groups. Functional enrichment analysis showed that the differentially expressed miRNAs were mainly associated with the TGF-beta, NF-kB, and Jak-STAT signaling pathways. Notably, gga-miR-2954 was found to be significantly upregulated after coccidial infection. Functional analysis showed that gga-miR-2954 inhibited the production of the inflammatory cytokines IL-6, IL-1ß, TNF-α, and IL-8 in sporozoite-stimulated DF-1 cells. Mechanistically, we found that gga-miR-2954 targeted the RORC gene and that RORC promoted the inflammatory response in sporozoite-stimulated DF-1 cells. In conclusion, our study was the first to identify differentially expressed miRNAs in chicken cecal tissue during E. tenella infection and found that gga-miR-2954 regulates the host immune response to coccidial infection in chickens by targeting the RORC gene.

Prognostic significance of neurofilament light in Fingolimod therapy for Multiple Sclerosis: A systemic review and meta-analysis based on randomized control trials.

OBJECTIVE: This research was conducted to assess Neurofilament light chain (NfL) as prognostic factor for Multiple Sclerosis and effect of Fingolimod on plasma levels of NfL. MATERIALS AND METHODS: A systemic search was conducted from electronic databases (PubMed/Medline, Cochrane Library, and Google Scholar) from inception to 7th September 2022. All statistical analyses were conducted in Review Manager 5.4.1. Studies meeting inclusion criteria were selected. Only those studies that involved Multiple sclerosis patients in which plasma levels of NfL was provided and Fingolimod was used in the treatment group. Fixed-effect model was used to pool the studies to assess NfL as prognostic factor, which was reported in the Hazards ratio (HR) and their corresponding 95% confidence interval (CI). Moreover, effect of Fingolimod on NfL levels was analysed qualitatively. RESULTS: Five Randomized Controlled Trials were used in the study. Four studies were used in quantitative analysis which showed increased NfL was related to significant increase in cognitive disability worsening (HR= 1.66 [1.35, 2.05]; p< 0.00001; I2= 0%). The qualitative analysis method was employed to evaluate the factors correlating with increased NfL levels in Multiple Sclerosis patients. Five studies evaluated that there was significant decrease in NfL levels when Fingolimod was used as compared to placebo. 4 studies were included to correlated NfL levels with clinical and MRI parameters and association was found between increasing NfL levels and relapses, active/new T2 lesions and percentage of brain volume change. CONCLUSION: The results of our meta-analysis and systematic review demonstrated statistically significant effect of NfL as a prognostic marker with its level being decreased significantly when Fingolimod was used for treating Multiple Sclerosis.

Nicotine smoking is associated with impaired cognitive performance in Pakistani young people.

Nicotine smoking is the most common mode of tobacco smoking among young people. It affects the areas of the brain associated with memory, attention, and learning. This study has investigated the effect of nicotine smoking on cognitive performance. One hundred male volunteers (50 nicotine smokers and 50 nonsmokers) aged 18-30 years with similar socioeconomic backgrounds were recruited for this study. Clinical history of participants was obtained using a questionnaire. Their brain health and handedness were determined using the Mini Mental State Examination (MMSE) and the Edinburgh Handedness Inventory (EHI), respectively. The dependent variables examined in the study were attention-switching tasks (AST), pattern recognition memory (PRM), and choice reaction time (CRT). These parameters were assessed using the Cambridge Neuropsychological Automated Battery (CANTAB). The average ages of participating smokers and nonsmokers were 24.02 ± 3.41 years (mean ± standard deviation) and 22.68 ± 1.87 years, respectively. MMSE and EHI scores of smokers were 28.42 ± 1.09 and 99.75 ± 1.77, respectively; for nonsmokers, these scores were 28.54 ± 1.34 and 98 ± 1.91, respectively. The mean score for AST correct latency/delay was significantly higher (p = 0.050) in smokers (620.26 ± 142.03) than in nonsmokers (570.11 ± 108.39). The percentage of correct AST trials was significantly higher (p = 0.000) in nonsmokers (96.95 ± 2.18) than in smokers (83.75 ± 11.22). The PRM percent correct were significantly higher (p = 0.000) of nonsmokers (93.42 ± 8.34) than of smokers (79.75 ± 13.44). The mean correct latency for CRT was significantly higher (p = 0.009) in smokers (509.87 ± 129.83) than in nonsmokers (455.20 ± 65.73). From this data, it can be concluded that nicotine smoking is linked with impaired cognitive functions in smokers.