OBJECTIVES: The current study was designed to explore the in vivo anti-inflammatory and antiangiogenic properties of Raphanus sativus seeds oil.
METHODS: Cold press method was used for the extraction of oil (RsSO) and was characterised by using GC-MS techniques. Three in vitro antioxidant assays (DPPH, ABTS and FRAP) were performed to explore the antioxidant potential of RsSO. Disc diffusion methods were used to study in vitro antimicrobial properties. In vivo anti-inflammatory properties were studied in both acute and chronic inflammation models. In vivo chicken chorioallantoic membrane assay was performed to study antiangiogenic effects. Molecular mechanisms were identified using TNF-α ELISA kit and docking tools.
RESULTS: GC-MS analysis of RsSO revealed the presence of hexadecanoic and octadecanoic acid. Findings of DPPH, ABTS, and FRAP models indicated relatively moderate radical scavenging properties of RsSO. Oil showed antimicrobial activity against a variety of bacterial and fungal strains tested. Data of inflammation models showed significant (p < 0.05) anti-inflammatory effects of RsSO in both acute and chronic models. 500 mg/kg RsSO halted inflammation development significantly better (p < 0.05) as compared with lower doses. Histopathological evaluations of paws showed minimal infiltration of inflammatory cells in RsSO-treated animals. Findings of TNF-α ELSIA and docking studies showed that RsSO has the potential to down-regulate the expression of TNF-α, iNOS, ROS, and NF-κB respectively. Moreover, RsSO showed in vivo antiangiogenic effects.
CONCLUSION: Data of the current study highlight that Raphanus sativus seeds oil has anti-inflammatory, and antiangiogenic properties and can be used as an adjunct to standard NSAIDs therapy which may reduce the dose and related side effects.
SUMMARY: To treat BC, small-molecule inhibitors, phytomedicines, and nanoparticles are conjugated to attenuate BC signaling pathways. Due to their numerous target mechanisms and strong safety records, phytomedicines and nanomedicines have received much attention in studies examining their prospects as anti-BC agents by such unfulfilled demands.
KEY MESSAGES: The processes involved in the affiliation across the progression of tumors and the spread of inflammation are highlighted in this review. Furthermore, we included many drugs now undergoing clinical trials that target cancer-mediated inflammatory pathways, cutting-edge nanotechnology-derived delivery systems, and a variety of phytomedicines that presently address BC.
MATERIALS AND METHODS: Adult male Sprague-Dawley rats were divided into 4 groups as control, LPS, CA and LPS + CA. The treatments with LPS (5 mg/kg) were intraperitoneally (i.p) injected on day 4 and CA ethanol extract (200 mg/kg) were given orally for 14 days. Morris Water Maze (MWM) test was performed to assess spatial learning and memory performance. Acute oral toxicity of the extract at the highest dose of 5000 mg/kg was also conducted.
RESULTS: Single administration of LPS was able to significantly elicit learning and memory impairment (p
MATERIALS AND METHODS: A literature search was carried out to gather eligible studies from the following widely sourced electronic databases such as Scopus, PubMed and Google Scholar using the combination of the following keywords: AD, MRS, brain metabolites, deep learning (DL), machine learning (ML) and artificial intelligence (AI); having the aim of taking the readers through the advancements in the usage of MRS analysis and related AI applications for the detection of AD.
RESULTS: We elaborate on the MRS data acquisition, processing, analysis, and interpretation techniques. Recommendation is made for MRS parameters that can obtain the best quality spectrum for fingerprinting the brain metabolomics composition in AD. Furthermore, we summarise ML and DL techniques that have been utilised to estimate the uncertainty in the machine-predicted metabolite content, as well as streamline the process of displaying results of metabolites derangement that occurs as part of ageing.
CONCLUSION: MRS has a role as a non-invasive tool for the detection of brain metabolite biomarkers that indicate brain metabolic health, which can be integral in the management of AD.
METHODS: Participants were recruited in Intensive Care Units (ICUs) from multiple UK hospitals, including fifty-nine patients with abdominal sepsis, eighty-four patients with pulmonary sepsis, forty-two SIRS patients with Out-of-Hospital Cardiac Arrest (OOHCA), sampled at four time points, in addition to thirty healthy control donors. Multiple clinical parameters were measured, including SOFA score, with many differences observed between SIRS and sepsis groups. Differential gene expression analyses were performed using microarray hybridization and data analyzed using a combination of parametric and non-parametric statistical tools.
RESULTS: Nineteen high-performance, differentially expressed mRNA biomarkers were identified between control and combined SIRS/Sepsis groups (FC>20.0, p<0.05), termed 'indicators of inflammation' (I°I), including CD177, FAM20A and OLAH. Best-performing minimal signatures e.g. FAM20A/OLAH showed good accuracy for determination of severe, systemic inflammation (AUC>0.99). Twenty entities, termed 'SIRS or Sepsis' (S°S) biomarkers, were differentially expressed between sepsis and SIRS (FC>2·0, p-value<0.05).
DISCUSSION: The best performing signature for discriminating sepsis from SIRS was CMTM5/CETP/PLA2G7/MIA/MPP3 (AUC=0.9758). The I°I and S°S signatures performed variably in other independent gene expression datasets, this may be due to technical variation in the study/assay platform.