Search published articles


Showing 4 results for Firouzi

Massoumeh Firouzi, Farzaneh Sabouni, Abed-Ali Ziaee, Mohammad Taghikhani,
Volume 8, Issue 2 (4-2004)
Abstract

Neurite outgrowth from dorsal root ganglion (DRG) explants is a method of evaluating neurotrophic activity of growth factors. When complete medium containing collagen was supplemented with nerve growth factor (NGF) DRG outgrowth was observed after 18 h. In the absence of NGF and in the presence of collagen, the DRG outgrowth took place after 72 h. In wells not supplemented with collagen gel in substratum, no DRG outgrowth was observed. Partially, DRG differentiation was observed in the presence of NGF. In the absence of NGF and collagen, there was no DRG outgrowth detected. It seems that, in some circumstances, cells degenerated by DRG may be an indication of an apoptosis phenomenon. Therefore, we suggested that collagen as a substratum is more effective than NGF
Shohreh Farshad, Abdolvahab Alborzi, Aziz Japoni, Masoumeh Hayati, Mehdi Saberfirouzi, Kamran Bagheri Lankarani, Alireza Taghavi, Jalil Nasiri, Noreddin Rafatpour,
Volume 10, Issue 2 (4-2006)
Abstract

It is not clear what factors determine divergent outcomes of infections caused by H. pylori . In the present study, the protein profiles of different strains of H. pylori, isolated from three groups of patients with ulcerative disease, non-ulcerative gastritis and cancer disease, were analyzed using 1DSDS-PAGE. The patterns of different H. pylori strains were highly divergent. About 30.76% (7 bands) of the 26 observed protein bands were common in all strains isolated from 3 groups of the patients. While the similarity for the strains inside each group were 75% (15 from 20), 76.47% (13 from 17) and 78.57% (11 from 14) for cancerous, ulcerative and nonulcerative group, respectively. Some of the observed bands were significantly specific for each group. Therefore, we speculated that some H. pylori strains might be more associated with a specific disease than others, giving the clustering of some, but not all, strains within each disease group. In conclusion, this study showed that protein profile can be a characteristic in discrimination of dominant strains in different gastric clinical status. Specific and dominant proteins of different strains isolated from three groups of patients under study were candidates for further exploration for laboratory tests, which analyze disease-specific H. pylori strains, and for diagnosis of the different diseases and outcomes associated with this widespread bacterium.
Houran Firouzian, Amirreza Ghafourian Pouladi Toosi, Masoomeh Hamdi Askarabad, Mahdi Zavvar,
Volume 28, Issue 0 (Supplementary 2024)
Abstract

Introduction: Antihistamines treat allergy symptoms such as hives, a runny nose, sneezing, and itchy eyes. There are different types of antihistamines, divided into three main generations. According to some research, the use of certain antihistamine medications may negatively affect fertility. With the significant increase in the use of antihistamines in today's society, this study aimed to review the relationship between this group of drugs and male fertility.
Search Strategy: Following the Cochrane systematic review principles and PRISMA guidelines, a systematic search was conducted across international databases, including PubMed, Scopus, and Web of Science, alongside the Google Scholar search engine for searching grey literature. Keywords used included “Histamine Antagonist”, “Antihistamines”, “semen”, and “sperm”. Inclusion criteria encompassed all observational studies investigating the quality of sperm in men using antihistamine drugs. All reviews, interventional studies, animal studies, letters to editors, and book chapters were excluded. Two authors independently screened and extracted data, resolving discrepancies by a third author. The quality of the included studies was assessed using the Newcastle-Ottawa scale tool, and information was organized into an extraction table.
Results: Of 92 initial articles, 29 were removed due to duplication and 48 due to lack of relevance, leaving 15 articles. Of these, 11 were excluded based on the inclusion criteria, resulting in 4 final articles being included in the study. These articles were conducted on 57 fresh human seminal fluid samples collected from healthy volunteers who were non-smokers and non-alcoholics and patients attending a semenology clinic. Samples were used within two hours of collection. The two classical antihistamines studied, promethazine and chlorpheniramine, produced a dose-dependent decrease in sperm motility, with promethazine being the more potent. The probable mechanism involves antihistamines' local anaesthetic effects, which stabilize cell membranes, and H1 receptor antagonists decreasing sperm viability in a dose- and time-dependent manner, with promethazine having the lowest concentration needed to reduce sperm viability.
Conclusion and Discussion: The findings of this study suggest that the two classical antihistamines, promethazine and chlorpheniramine, may significantly impact sperm motility, resulting in decreased motility.


Elmira Firouzi, Vahideh Aghamohammadi, Amirhosein Jalili,
Volume 28, Issue 0 (Supplementary 2024)
Abstract

Introduction: Artificial intelligence (AI) is expected to provide diet-planning solutions via automatic and practical application of professional knowledge, addressing the complexity of optimal diet design. This study aimed to perform a systematic review to evaluate the effect of AI technology in dietary management.
Search Strategy: This study was conducted according to the PRISMA protocol. A comprehensive online search was performed in PubMed-Medline, Scopus, Web of Science, Embase databases, Google Scholar, and the World Health Organization databases from 2014 to September 2024. After searching all databases, 3,893 articles were identified at this stage. Subsequently, after removing 1,078 duplicate articles, 2,815 remained for primary screening. Then after reviewing the titles and abstracts, 34 articles remained to be reviewed for their full text. In the end, in terms of the inclusion criteria, 11 articles were included in this systematic review. The following keywords were used in the search pattern: "Artificial intelligence" OR "Machine learning" AND "Nutrition" OR "Diet" OR "Body weight". We included all English clinical trials and semi-experimental studies to explore the effect of AI technology on dietary management. Exclusion criteria were as follows: (1) in vitro and animal studies, (2) review articles, (3) conference abstracts or other studies lacking full texts, duplicates, letters, and case reports, (4) ongoing studies, and  (5) studies whose full text was not available in English.
Results: In the prese review, we investigated 11 clinical trial and semi-experimental studies involving 5,366 participants across intervention and control groups. Two studies were conducted on healthy individuals, one study on obese children, five studies on obese adults, two studies on patients with diabetes, one study on patients with irritable bowel syndrome, and one study on patients receiving bariatric care. The findings from all studies indicated that AI, dietitians, and nutrition researchers were associated with improved weight management.
Conclusion and Discussion: The effect of AI on weight loss and health improvement is undeniable, and numerous studies have proven its effects. AI can facilitate the work of dietitians and nutrition researchers in dietary treatment for obesity and diabetes.



Page 1 from 1     

© 2025 CC BY-NC 4.0 | Iranian Biomedical Journal

Designed & Developed by : Yektaweb