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- 저자 : Meisam Barati (검색결과 2 건)
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Engineered Probiotics for the Management of Congenital Metabolic Diseases: A Systematic Review
Meisam Barati,Erfan Mosharkesh,Amir Hossein Tahmassian,Maryam Khodaei,Masoumeh Jabbari,Ali Kalhori,Mohsen Alipour,Afshin Abdi Ghavidel,Sajad Khalili-Moghadam,Anwar Fathollahi,Sayed Hossein Davoodi 한국식품영양과학회 2024 Preventive Nutrition and Food Science Vol.29 No.1
Engineered probiotics (EPs) can be used to treat/manage chronic and congenital diseases. However, to the best of our knowledge, no systematic review has evaluated the effects of EPs on congenital metabolic disorders in murine models and human subjects. Thus, the present study systematically reviewed interventional studies that assessed the effects of EPs on congenital metabolic disorders. PubMed, Web of Science, and Scopus databases were searched up to February 2023 to retrieve related publications. Seventy-six articles were obtained in the primary step. After screening the titles/abstracts based on the inclusion and exclusion criteria, 11 papers were included. Finally, only seven articles were included after performing full-text evaluation. The included articles evaluated the effects of EPs on managing phenylketonuria (PKU, n=4) and hyperammonemia (n=3). Moreover, these studies examined mice and/or rats (n=6), monkeys (n=1), and humans (n=2). Studies on EPs and hyperammonemia revealed that some wild strains such as Lactobacillus plantarum have an innate ammonia-hyper-consuming potential; thus, there was no need to manipulate them. However, manipulation is needed to obtain a phenylalanine- metabolizing strain. In conclusion, EPs can be used to manage or treat congenital metabolic diseases including PKU.
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Amin Mokari-Yamchi,Ayoub Faramarzi,Ammar Salehi-Sahlabadi,Meisam Barati,Delaram Ghodsi,Masoumeh Jabbari,Azita Hekmatdoost 한국식품영양과학회 2020 Preventive Nutrition and Food Science Vol.25 No.2
Food insecurity is a major and multidimensional global problem, particularly in rural and vulnerable areas. In this cross-sectional study, we aimed to identify the relationship between social support and food insecurity in 404 Iranian rural households. We selected the sample by cluster random sampling and collected data using three questionnaires [demographic, Multidimensional Perceived Social Support Scale (MSPSS), and United States Department of Agriculture food security questionnaires] and analyzed data using chi-square tests and logistic regression (using SPSS version 19.0). Of the 404 Iranian households, 168 (41.6%) were classified as food secure. The logistic regression analysis revealed that education and job status of the household heads and household income were significantly associated with food security status. Additionally, perceived social support was protective against food insecurity after adjusting for confounding factors [compared with the first quartile, second quartile odds ratio (OR)=1.76, 95% confidence interval (CI): 0.94∼3.3 and fourth quartile OR=2.21, 95% CI: 1.13∼4.33]. This study indicated that social support contributes to a reduced chance of food insecurity in rural households. These results suggest that policy makers should focus on strengthening social support in vulnerable communities to help protect against hunger and poverty.
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