203 research outputs found
The Potential of Algae in Treating Celiac Disease
Compounds found in algae, such as bioactive substances, sulfated polysaccharides, and polyunsaturated fatty acids, have been found to have positive effects on the immune system. Previous research has shown that algae can also benefit digestive system disorders. They possess antioxidant and anti-inflammatory properties and can influence the balance of gut microbiota and maintain the integrity of the intestinal lining. Celiac disease (CD), a disorder caused by an abnormal immune response to gluten, results in inflammation and damage to the intestinal lining, leading to problems with nutrient absorption. Although a lifelong gluten-free diet is the only treatment option for this disease, it is challenging to adhere to. Therefore, recent studies have focused on finding supplementary or alternative therapies for celiac disease patients. Traditional medical treatments, like anti-inflammatory and biological drugs, are associated with significant side effects and are not suitable for supplementary therapy for this group of patients. Algae shows promise as a potential research area for treating CD; however, their specific effects on this condition have not been widely studied. The aim of this study was to gather current information and draw attention to the potential use of algae extracts in treating CD to encourage further research in this field
Modeling of karst and alluvial springs discharge in the central Alborz highlands and on the Caspian southern coasts
Springs are the important water resources, which thier study is necessary in terms of their management and exploitation. In northern Iran, the karst springs locate in the central Alborz highlands and alluvial springs on the Caspian southern coasts.The Karst and alluvial springs discharge is variable because of different conditions in terms of aquifer, topography and precipitation .This study has been done to simulate the karst and alluvial springs discharge and to compare their hydrologic conditions. So, 80 karst springs and 82 alluvial springs were investigated in central Alborz and on the Caspian southern coasts. Two models were presented to simulate the karst and alluvial springs discharge using Multivariate Regression analysis (SPSS software).Then, their efficiency was considered. Finally, the models and the results of regression analyses were compared. The results showed that the most important factors of the karst springs discharge are aquifer formation (its porosity) and site elevation, but about the alluvial springs, the hydraulic conductivity of aquifer formation and aquifer depth are the most important factors
Effects of intermittent feeding on compensatory growth, feed intake and body composition in Asian sea bass (Lates calcarifer)
This experiment was conducted to investigate the effects of various starvation and refeeding periods on growth, feed utilization and body composition in Asian sea bass (Lates calcarifer) with an average initial weight of 30.26±1.4 g (mean±SE). The fish were exposed to three different regimes: the control group fed twice daily to apparent satiation throughout the experiment (C), the first group starved for 4 days and refed for 16 days, this cycle was repeated two times (T1) and the second group starved for 8 days and refed for 32 days (T2). At the end of experiment, there were not any significant differences in growth and feeding performance among different treatments (p>0.05). Daily feed intake was significantly higher in the deprived fish than in the control fish (p0.05). Starvation had a significant effect on protein content on one sampling date during the experimental period; protein content in T2 on day 8 was significantly lower compared to the control (p<0.05). Sea bass showed complete compensation indicating a high ability of the deprived fish to grow sufficiently to fully compensate for weight loss during starvation. The results suggested that the feeding schedule involving starvation-refeeding cycles could be a promising feed management option for the culture of this species
Effects of dietary probiotic (Lactobacillus plantarum) on body composition, serum biochemical parameters and liver enzymes of Asian sea bass (Lates calcalifer, Bloch 1790)
In the current study, the effects of different levels of probiotics, Lactobacillus plantarum in the diet of Asian sea bass, Lates calcarifer on body composition, serum biochemical parameters (glucose, cholesterol, triglyceride and albumin) and liver enzymes (lactate dehydrogenase, alkaline phosphatase, alanine aminotransferase and aspartate aminotransferase) were investigated. This experiment was carried out with three treatments and a control group for a period of four weeks. The treatments were included 0, 1×106, 2×106, 3×106 colony forming unit (CFU) gram probiotic in each gram of basic diet. Fish with an average weight of 50.26 ±0.89 grams were randomly distributed in tanks and in each tank stocked 20 pieces of fish. Feeding was done twice a day. The obtained results indicated that the use of different levels of probiotic in diet of Asian sea bass had no significant effects on serum biochemical parameters and liver enzymes. The different levels of probiotic did not affect protein, ash and moisture values between the treatments and the control group (P> 0.05). Moreover, fat value in the fish T2 and T3 was significantly higher (P< 0.05) than the fish control and T1. Also, nitrogen free extract (NFE) value varied significantly (P < 0/05) between the control and the fish T3. Overall, this study indicated that this probiotic had no significant effect on some blood biochemical parameters and liver enzyme, but at the high level can positively influence on body composition of Asian sea bass
The Main Targets of Okadaic Acid Toxin in Human Intestinal Caco-2 Cells: An Investigation of Biological Systems
Background: Okadaic acid (OA) is a toxin of polluted shellfish. Consuming the contaminated shellfish is accompanied by diarrhea and paralytic and amnesic disorders. There is a correlation between diarrhea and the consumed OA. Determining the critical targeted genes by OA was the aim of this study. Methods: The transcriptomic data about the effect of OA on human intestinal caco-2 cells were extracted from gene expression omnibus (GEO) and evaluated via the GEO2R program. The significant differentially expressed genes (DEGs) were included in a protein-protein interaction (PPI) network and the central nodes were enriched via gene ontology to find the crucial affected biological terms. Results: Among the 178 significant DEGs plus 50 added first neighbors, four hub-bottleneck genes (ALB, FOS, JUN, and MYC) were determined. Twenty-eight critical biological terms were identified as the dysregulated individuals in response to the presence of OA. “ERK1/2-activator protein-1 (AP-1) complex binds KDM6B promoter” was highlighted as the major class of biological terms. Conclusion: It can be concluded that down-regulation of ALB as a potent central gene leads to impairment of blood homeostasis in the presence of OA. Up-regulation of the other three central genes (JUN, FOS, and MYC) grossly affects the vital pathways in the human body
Formability study and forming path optimization in single-point incremental forming process
Incremental sheet metal forming is becoming a popular approach for forming intricate shapes especially for rapid prototyping and small batch production of sheet metals. In this work, the formability of Aluminium sheet metal in a single-point incremental forming (SPIF) has been investigated numerically and the effect of the feed rate, the vertical feed (pitch) and the spindle revolution on the formability have been studied. Parameters study results built a base for enhancing SPIF process and presenting two approaches to optimize forming path. In these approaches, variation of vertical pitch has been considered and the effects of this parameter on the strain distribution and formability have been studied. It is found that these methods normalize the strain distribution and improve the formability. Finite element method (FEM) with the aid of design of experiments (DOE) technique is used for predicting the parameters effects and optimizing forming path. Experiments are also carried out to verify the validity of numerical results
Evaluation of filtration rate of bivalve’s Barbatia hellblingii and Saccostrea cucullata and possibility of their using species of as biomonitor in coasts of Persian Gulf
Filtration in bivalves is the most important physiological and biological activities that can redound absorption of environmental contaminations. Since Saccostrea cucullata and Barbatia hellbingii are well distributed in Bushehr coasts, this investigation is carried out to evaluate the potential of these species to filtrate more Chlorella volgaris algae. The filtration rate of the Saccostrea cucullata and Barbatia hellbingii were measured at 25 °C and 36 ppt in the laboratory using concentration of chlorella volgaris. Results showed filtration rate of Saccostrea cucullata and Barbatia hellbingii were 29.3683 ± 0.46212 and 31.1453 ± 0.66055, respectively. There was a significant difference between mean filtration rates with the two treatments (P < 0.05), and Barbatia hellbingii showed higher filtration rate in experimental condition, so it can be suggested Barbatia hellbingii as a better biomonitor
Exploring conserved mRNA-miRNA interactions in colon and lung cancers
Aim: The main goal of this analysis was prioritization of co-expressed genes and miRNAs that are thought to have important influences in the pathogenesis of colon and lung cancers. Background: MicroRNAs (miRNAs) as small and endogenous noncoding RNAs which regulate gene expression by repressing mRNA translation or decreasing stability of mRNAs; they have proven pivotal roles in different types of cancers. Accumulating evidence indicates the role of miRNAs in a wide range of biological processes from oncogenesis and tumor suppressors to contribution to tumor progression. Colon and lung cancers are frequently encountered challenging types of cancers; therefore, exploring trade-off among underlying biological units such as miRNA with mRNAs will probably lead to identification of promising biomarkers involved in these malignancies. Methods: Colon cancer and lung cancer expression data were downloaded from Firehose and TCGA databases and varied genes extracted by DCGL software were subjected to build two gene regulatory networks by parmigene R package. Afterwards, a network-driven integrative analysis was performed to explore prognosticates genes, miRNAs and underlying pathways. Results: A total of 192 differentially expressed miRNAs and their target genes within gene regulatory networks were derived by ARACNE algorithm. BTF3, TP53, MYC, CALR, NEM2, miR-29b-3p and miR-145 were identified as bottleneck nodes and enriched via biological gene ontology (GO) terms and pathways chiefly in biosynthesis and signaling pathways by further screening. Conclusion: Our study uncovered correlated alterations in gene expression that may relate with colon and lung cancers and highlighted the potent common biomarker candidates for the two diseases
Interpretation of tongue squamous cell carcinoma via protein-protein interaction network construction and analysis
Background: Tongue squamous cell carcinoma is one of the prominent cancers in the oral cavity. Molecular investigations based on interaction analysis can be promising towards providing a better resolution of malignant neoplasms. Here, the protein-protein interaction network of tongue cancer is studied. Methods: The protein-protein interaction network was constructed by the application of Cytoscape 3.5.1 and the related algorithms. Centrality analysis via the degree, betweenness, and closeness centralities was conducted. Results: The result indicated that there are seven chief proteins in the network foundation. Moreover, enrichment evaluation suggested two associated biological processes including Response to UV-A, Response to interlukin-7, cellular response to alcohol, and catenin import into nucleus process using CluePedia. Conclusions: It can be concluded that the identified central panel proteins and their related biological processes can shed light on the neoplasm mechanisms and are worth pursuing for clinical approaches. © 2018, Cancer Research Center (CRC), Shahid Beheshti University of Medical Sciences
Protein interaction mapping related to to becker muscular dystrophy
Objective Becker Muscular Dystrophy (BMD) is a neuromuscular disorder which is incurable. In this research protein interaction network of most associated proteins with BMD to provide better clarification of disorder underlying mechanism was investigated. Materials & Methods The related genes to BMD were retrieved via string database and conducted by Cytoscape and the related algorithms. The network centrality analysis was performed based on degree, betweenness, closeness, and stress parameters. Gene ontology and clustering were performed via ClueGO analysis. Results DMD as the super-hub as well as other central proteins including UTRN, TTN, DNM2, and RYR1 are important in BMD in terms of interactive features. The impairment of muscular contraction may be vital in BMD disease pathogenesis as it is the highlighted biological process term obtained by ClueGO analysis. Conclusion DMD targeting may be the main concern for dystrophy clinical approaches. However, the other suggested proteins should be evaluated. Targeting these key proteins are required for treatment goals following extensive validation studies. © 2019, Iranian Child Neurology Society. All rights reserved
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