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Showing 5 results for Bahador
Bahram Fatollahzadeh , Parviz Maleknejad, Abbas Bahador, Hadi Peeridogaheh, Volume 10, Issue 1 (spring 2010)
Abstract
Masoumeh Kazemi, Hedayat Sahraie , Mahnaz Azarnia , Hosein Bahadoran, Volume 10, Issue 2 (summer 2010)
Abstract
Background & Objectives: Previous studies indicated that morphine consumption during pregnancy could inhibit embryos development. Present study further evaluated the effects of oral morphine consumption on the maternal and fetal portion placenta cells development in Wistar rats. Methods: Female Wistar rats (W: 170-200 g) were used in the present study. Morphine group were received morphine (0.05 mg/ml of tap water) after one night coupling with male rats for mating. On 14th, 17th days of pregnancy, the pregnant animals were killed with chloroform and the placentas and uterus were removed surgically and fixed in 10 % formalin. The fixed placentas and uterus were stained by H & E method and evaluated for their development. The thickness of layers, as well as number of the cells in both maternal and fetal parts of the placentas was determined by light microscopy and processed using MOTIC software. Results: The results indicated that oral consumption of morphine compared to control group, increased the thickness of the layers in maternal portion and also, increased the number of the cells in both maternal and fetal portion of the placenta. Conclusion: All together, oral morphine consumption may inhibit placenta cells development and disturb their natural functions. These abnormalities observed in the placenta by opioid addicted pregnancy Wistar rats.
Mahdi Saadati , Mahdokht Taheri , Mohammad Hadi Bahadori , Volume 14, Issue 4 (winter 2014)
Abstract
Background & objectives : Infertility is a global problem affecting millions of men and women in developed and developing countries. In this regard, in-vitro fertilization (IVF) plays an important role in improving the quality of life in infertile patients. However, studies have shown that the implantation failure in IVF is the main challenge of this procedure. Melatonin can increase the survival rate of embryos and IVF success rate through eliminating free radicals and removing reactive oxygen species. So, this study is conducted to investigate the effects of different concentrations of melatonin on the rate of newborns of mice following transfer oftwo-cell embryos . Methods : In this study, female mice with average age of six to eight weeks were superovulated by administering pregnant mares serum gonadotropin (PMSG) intraperitoneally (7.5 IU. ip), and followed after 48h by human chorionic gonadotropin (hCG) (7.5 IU. ip). Two-cell mouse embryos were obtained from female mice oviduct after 48 h. The embryos transferred bilaterally into pseudopregnant mice of the same strain through surgical procedure and 8-14 embryos were transferred to each tube. The study included 4 treatment groups and one control group (6 mice in each group). The treatment groups were exposed to subcutaneous injection of concentrations of 100 µm , 10 µm , 1 µm and 100 nm of melatonin. After the cesarean on 18th day of pregnancy, the percentage of live births was assessed. The outcomes of the live birth rate were assessed using the chi-square test and statistical analyses were carried out using SPSS version 16.0. Percentage of live birth was calculated and compared with the control group. Results: A total of 701 two-cell mouse embryos were transferred into one control group and four experimental groups. The number and percentage of live births at concentrations of 100 µm and 10 µm of melatonin and the control groups were 21 (15.55%), 13 (9.15%) and 9 (6.47%), respectively. No infant was born at the concentrations of 1 µM and 100 nM of melatonin . The highest rate of live births was obtained at the concentration of 100 µM and showed a significant difference with the control group (p ≤ 0.01). There was no significant difference in live births at the concentration of 10 µm and control group. Conclusion : The results of this study indicated that subcutaneous injection of melatonin improves the two-cell mouse embryo growth and post implantation development of mice.
Bahador Karimi, Zohreh Ghotbeddin, Seyed Reza Fatemi Tabatabaei , Volume 16, Issue 4 (winter 2016)
Abstract
Background & objectives: Zinc as one of the most important trace elements is needed for proper functioning of the nervous system and homeostasis. Many studies show that stress causes memory impairment through various mechanisms, including oxidative stress induction and some mechanisms which are directly effecting brain function. So, in this work we assessed the effect of zinc chloride on passive avoidance memory and oxidative stress following acute stress in male rats.
Methods: In this study, 50 male Wistar rats were used in five groups: control, sham, stress, zinc chloride treatment and zinc chloride treatment before stress induction. For stress induction, rats were restrained (not immobilized) for 6 h/day, 7 days in a Plexiglas restrainer, and treated rats received an oral dose of zinc chloride 32 mg/kg/day by gavage for 6 days. At the end of the experiment, passive avoidance memory was avaluated by shuttle box and some oxidative damage markers were determined in all groups.
Results: Results of this study showed that animals which were exposed to stress showed a significant decrease in passive avoidance memory compared to control group (p<0.01) and the oxidative stress parameters in this group showed significant changes compared to the control group (p<0.05). While passive avoidance memory and oxidative stress parameters in group treated with zinc chloride were nearly closed to control group.
Conclusion: According to our results, zinc chloride with antioxidant properties can have a protective effect on memory impairment and oxidative stress induced by stress.
Morteza Akbari, Saeed Sadigh-Eteghad, Ali Bahadori, Hossein Ghassemi-Moghaddam, Mojtaba Ziaee, Volume 25, Issue 1 (Spring 2025)
Abstract
Immunotherapy has emerged as a promising and effective approach in cancer treatment by stimulating the body’s immune system to target and eliminate malignant cells. Despite its significant therapeutic potential, several challenges remain, including accurate patient selection, identification of appropriate therapeutic targets, and the minimization of adverse effects.
Artificial intelligence (AI) plays a critical role in addressing these challenges by analyzing complex genomic, proteomic, and clinical datasets. Machine learning and deep learning algorithms can accurately identify patients likely to respond to immunotherapy, enabling the development of personalized treatment plans while avoiding unnecessary interventions in low-response individuals.
A key application of AI is predicting the efficacy of immune checkpoint inhibitors such as PD-1 and CTLA-4. By integrating medical imaging and genomic data, AI models can forecast treatment outcomes, enhance diagnostic precision, and reduce healthcare costs. Furthermore, AI is increasingly used in drug development, where it simulates novel molecular structures and predicts their therapeutic efficacy, thereby accelerating drug discovery and lowering development expenses. AI also contributes to identifying and managing side effects, improving the safety profile of immunotherapy.
Nevertheless, the implementation of AI in oncology is not without limitations. These include the need for high-quality, annotated datasets, algorithmic interpretability, and ethical concerns such as data privacy, algorithm transparency, and psychological impacts of extensive genetic testing, excessive diagnostic testing, potential treatment discrimination, and unclear legal responsibilities.
This article concludes that with robust data infrastructure and the advancement of interpretable AI models, the full potential of AI in cancer immunotherapy can be realized. This synergy promises a major leap toward precision medicine and a brighter future in cancer care.
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