Modeling of formation damage during smart water flooding in sandstone reservoirs.

Impairment of permeability has been observed as an effective factor in production decline during secondary and tertiary recovery processes such as water flooding. Among different permeability damage mechanisms, fines migration and deposition is known as the main mechanism which occurs due to pore throat clogging and blocking. Because injected water and formation water are usually incompatible, permeability damage evaluation and scale formation prediction must be done before the water flooding process in the oil field is implemented. For this purpose, compatibility tests and core flood experiments are common, but experimental approaches with time and facility limitations are expensive. Thus, by decreasing the time required for conducting experiments, modeling approaches can replace the routine laboratory experiments. Based on thermodynamic balance and the solubility of ions in water, scale development due to seawater injection in an Iranian oil field was predicted in this work using the OLI ScaleChem software. After that, it was suggested that special water be introduced to help reduce the amount of scales that had accumulated in the rock pore space. The extent of permeability damage in various seawater injection scenarios was then assessed via dynamic core flood experiments. Finally, scales-seawater injection into the core was simulated using digital core analysis (DCA) results and the pore scale modeling approach. The core flood experiment data are consistent with the scale formation prediction made by the OLI ScaleChem software, which indicates that smart water can be determined by optimizing the salinity and ion content of injected water. Also, results of permeability damage prediction by our modeling approach have good agreement with the core flood experiment data. Therefore, our modeling approach can replace the conventional core flood experiments as a low-cost method with high computational efficiency and high enough accuracy to evaluate formation damage in the water flooding process.

Fibrinogen Aα gene genotyping in patients with inherited afibrinogenemia deficiency; a novel mutation in Iranian afibrinogenemia patients.

BACKGROUND: Congenital fibrinogen deficiencies (CFD) are a group of rare bleeding disorders (RBD). Afibrinogenemia as a subclass of these disorders would occurs as a result of mutations in fibrinogen gene. Here in, the sequences of Aα chain of fibrinogen (FGA) in patients with inherited afibrinogenemia disorder in south-eastern of Iran were analysed. METHODS: The FGA gene exons were amplified using PCR method and the DNA sequences were analysed to study the mutations in Aα chain of Fibrinogen. RESULTS: Results showed that there was no large deletion in FGA gene. Although a frame shift mutation: c.196_197insT p.Ser66PhefsX10 in a patient and a novel mutation of IVS2-1G>A in two other patients were detected which were different from those detected in European population. CONCLUSION: Different mutations are responsible of afibrinogenemia deficiency which requires more relevant studies for confirmation. The type and distribution of mutations in fibrinogen gene in Iranian patients is significantly different with reported mutations in European patients.

Directed targeting of B-cell maturation antigen-specific CAR T cells by bioinformatic approaches: From in-silico to in-vitro.

AIMS: Chimeric Antigen Receptor (CAR) T-cell is a breakthrough in cancer immunotherapy. The primary step of successful CAR T cell therapy is designing a specific single-chain fragment variable (scFv). This study aims to verify the designed anti-BCMA (B cell maturation antigen) CAR using bioinformatic techniques with the following experimental evaluations. MAIN METHODS: Following the second generation of anti-BCMA CAR designing, the protein structure, function prediction, physicochemical complementarity at the ligand-receptor interface, and biding sites analysis of anti-BCMA CAR construct were confirmed using different modeling and docking server, including Expasy, I-TASSER, HDock, and PyMOL software. To generate CAR T-cells, isolated T cells were transduced. Then, anti-BCMA CAR mRNA and its surface expression were confirmed by real-time -PCR and flow cytometry methods, respectively. To evaluate the surface expression of anti-BCMA CAR, anti-(Fab')2 and anti-CD8 antibodies were employed. Finally, anti-BCMA CAR T cells were co-cultured with BCMA+/- cell lines to assess the expression of CD69 and CD107a as activation and cytotoxicity markers. KEY FINDINGS: In-silico results approved the suitable protein folding, perfect orientation, and correct locating of functional domains at the receptor-ligand binding site. The in-vitro results confirmed high expression of scFv (89 ± 1.15% (and CD8α (54 ± 2.88%). The expression of CD69 (91.97 ± 1.7%) and CD107a (92.05 ± 1.29%) were significantly increased, indicating appropriate activation and cytotoxicity. SIGNIFICANCE: In-silico studies before experimental assessments are crucial for state-of-art CAR designing. Highly activation and cytotoxicity of anti-BCMA CAR T-cell revealed that our CAR construct methodology would be applicable to define the road map of CAR T cell therapy.

B lymphocytes in COVID-19: a tale of harmony and discordance.

B lymphocytes play a vital role in the human defense against viral infections by producing specific antibodies. They are also critical for the prevention of infectious diseases by vaccination, and their activation influences the efficacy of the vaccination. Since the beginning of coronavirus disease 2019 (COVID-19), which became the main concern of the world health system, many efforts have been made to treat and prevent the disease. However, for the development of successful therapeutics and vaccines, it is necessary to understand the interplay between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19, and the immune system. The innate immune system provides primary and nonspecific defense against the virus, but within several days after infection, a virus-specific immune response is provided first by antibody-producing B cells, which are converted after the resolution of disease to memory B cells, which provide long-term immunity. Although a failure in B cell activation or B cell dysfunction can cause a severe form of the disease and also lead to vaccination inefficiency, some individuals with B cell immunodeficiency have shown less production of the cytokine IL-6, resulting in a better disease outcome. In this review, we present the latest findings on the interaction between SARS-CoV-2 and B lymphocytes during COVID-19 infection.

Anti-diabetic effects of Sargassum oligocystum on Streptozotocin-induced diabetic rat.

OBJECTIVES: Diabetes is a metabolic syndrome which is associated with the worldwide major public health problems. There are many natural compounds from the sea-market, as a valuable aquatic source, along with the variety of health and therapeutic benefits. In the present research, with respect to the traditional and ethnic uses of Sargassum oligocystum algae for healing of some diseases which have similar metabolic mechanism to the diabetes, its anti-diabetic effects in animal model was proposed. MATERIALS AND METHODS: The animals (rat) were divided into the normal control, diabetic control, positive control and, the test groups. The test groups were gavaged with oral doses of 150 and 300 mg/kg of algae hydroalcoholic extracts. After 30 days of intervention the serum glucose, cholesterol, triglyceride, HDLC, LDLC, insulin, insulin resistance, ß-cells function and, the histopathology of pancreatic tissue were evaluated. RESULTS: In animals that were fed with algae extracts a significant decrease in the fasting blood glucose, triglyceride and HOMA-IR and an increase in the HOMA-B with no significant impacts on the insulin, cholesterol and HDL were observed. Also, the histopathology evaluations in the groups which were treated with algae extract revealed the regeneration and reconstitution of damaged pancreatic ß-cells. CONCLUSION: The results give evidence that, the S. oligocystum algae extract has a healing effect on diabetes which can be considered as a new research prospect for the natural therapy of diabetes.

Knockdown of microRNA-29a regulates the expression of apoptosis-related genes in MCF-7 breast carcinoma cells.

MicroRNA (miR), as non-coding small RNA, are key regulators of cancer-related biological cell processes and contribute to tumor growth through regulation of groups of pro- and anti-apoptotic genes. The present study aimed to investigate the effects of miR-29a on the expression of genes involved in apoptosis, including p21, B-cell lymphoma 2 (BCL-2), p53 and survivin. The MCF-7 breast cancer cell line was transfected with anti-miR-29a and treated with Taxol in subdivided treatment groups including: Scramble; anti-miR-29a; anti-miR-29a + Taxol; Taxol; and control. Expression levels of p21, BCL-2, p53 and survivin were evaluated using reverse transcription-quantitative polymerase chain reaction. miR-29a knockdown resulted in p21 and p53 upregulation and a decrease in survivin expression. These results indicated that miR-29a inhibition regulates apoptosis. The present data suggested that miR-29a inhibition may be a promising strategy for the induction of apoptosis of tumor cells.