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RISS 인기검색어
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- 저자 : Ali Kalhori (검색결과 3 건)
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Ali Kalhori,Maryam Rafraf,Roya Navekar,Aida Ghaffari,Mohammad Asghari Jafarabadi 한국식품영양과학회 2022 Preventive Nutrition and Food Science Vol.27 No.1
Nonalcoholic fatty liver disease (NAFLD) is commonly associated with obesity. This randomized, double-blind, placebo-controlled trial aimed to evaluate the effects of turmeric on serum adiponectin and sirtuin 1 (SIRT1) levels, blood pressure, and body mass index (BMI) in patients with NAFLD. A total of 46 eligible patients with NAFLD (BMI, 25.0∼39.9 kg/m²) were randomly allocated to turmeric and placebo groups using block randomization. The turmeric group (n=23) was administered 3,000 mg/d turmeric powder in six 500-mg capsules for 12 weeks, whereas the placebo group (n=23) was administered six placebo capsules/d for 12 weeks. Body weight, BMI, serum SIRT1 and adiponectin levels, and systolic and diastolic blood pressures were measured at baseline and 12 weeks after intervention. Serum SIRT1 levels increased significantly in the turmeric group compared with the placebo group. Additionally, participants in the turmeric group exhibited lower weight, BMI, and systolic blood pressure after 12 weeks of intervention compared with the baseline. Turmeric effectively improved SIRT1 levels in patients with NAFLD compared with the placebo. The efficacy of turmeric might increase with long-term use at higher doses.
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Shahabeddin Abhari,Sharareh R. Niakan Kalhori,Mehdi Ebrahimi,Hajar Hasannejadasl,Ali Garavand 대한의료정보학회 2019 Healthcare Informatics Research Vol.25 No.4
Objectives: The incidence of type 2 diabetes mellitus has increased significantly in recent years. With the development of artificial intelligence applications in healthcare, they are used for diagnosis, therapeutic decision making, and outcome prediction, especially in type 2 diabetes mellitus. This study aimed to identify the artificial intelligence (AI) applications for type 2 diabetes mellitus care. Methods: This is a review conducted in 2018. We searched the PubMed, Web of Science, and Embase scientific databases, based on a combination of related mesh terms. The article selection process was based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Finally, 31 articles were selected after inclusion and exclusion criteria were applied. Data gathering was done by using a data extraction form. Data were summarized and reported based on the study objectives. Results: The main applications of AI for type 2 diabetes mellitus care were screening and diagnosis in different stages. Among all of the reviewed AI methods, machine learning methods with 71% (n = 22) were the most commonly applied techniques. Many applications were in multi method forms (23%). Among the machine learning algorithms applications, support vector machine (21%) and naive Bayesian (19%) were the most commonly used methods. The most important variables that were used in the selected studies were body mass index, fasting blood sugar, blood pressure, HbA1c, triglycerides, low-density lipoprotein, high-density lipoprotein, and demographic variables. Conclusions: It is recommended to select optimal algorithms by testing various techniques. Support vector machine and naive Bayesian might achieve better performance than other applications due to the type of variables and targets in diabetes-related outcomes classification.
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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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