Iranian Journal of

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Background: Diabetic foot is one of the main complications of diabetes, which is caused by a significant proportion of patients with diabetes and which imposes costs on the family and the health system around the world. This review aims to summarize the latest findings in the field of diabetic foot based on clinical guidelines.
Methods: In this review study, in order to achieve the best clinical guide in the field of diabetic foot by determining the search strategy and inclusion criteria, all related clinical guides were searched in the databases and websites of clinical guidelines.  Clinical guidelines related to diabetic foot care were searched and retrieved from January 2000 to early 2019 and screened separately by two researchers to select the selected clinical guideline.
Results: Based on the study criteria, the clinical guide of the International Diabetic Foot Working Group was selected as the most complete guide in the field of diabetic foot. This summary is based on the International Working Group on the Diabetic Foot (IWGDF) Guidance 2015, consist of five documents including prevention of foot ulcers in at‐risk patients, footwear and offloading principles, diagnosis, prognosis and management of peripheral artery disease, foot infections in patients with diabetes and enhance healing of chronic ulcers of the foot in diabetes.
Conclusion: This Summary Guidance for Daily Practice is intended to overview of the main aspects of the prevention and treatment of foot problems in patients with diabetes. This summary guidance is adviced at healthcare providers and specialists in foot care throughout the world.

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Endocrinology and Metabolism Research Institute (EMRI) was established in 1993. EMRI has progressed step by step from the beginning and has reached maturity in the last 25 years. EMRI has expanded, advanced in human resources and infrastructures (laboratories and new technologies) and gained first rank in endocrine research in various fields. It has also worked with regional and international organizations such as the World Health Organization (WHO), the International Osteoporosis Foundation (IOF), and the American Clinical Endocrine Society (AACE). This article provides an overview of EMRI activities over a quarter of a century.

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Background: Diabetes is one of the major health problems in Iran and about 4.6 million adults suffer from this disease. Poor diagnosis of this disease has caused half of this number to be unaware of their disease. In recent years, along with the use of computers in data analysis and storage, the volume and complexity of data has increased dramatically.
Methods: In health organizations, data play an essential role in the value of the organization. Therefore, data mining has become one of the most widely used processes in the field of health and disease diagnosis. In this study, the information of 768 laboratory clients in Tehran was kept confidential and the opinions of experts were used to identify the variables affecting the incidence of diabetes.
Results: The findings indicate the study of 5 algorithms on the presented data, which by implementing 5 data mining algorithms J48, Bayes, Beginning, Cohen and simple clustering to classify the data, the efficiency of these algorithms in terms of speed and accuracy in calculations was evaluated.
Conclusion: The data set for classification is the database of a laboratory, which includes 768 samples with 9 characteristics. Finally, J48 algorithm is recommended for data mining of diabetes due to high speed, acceptable accuracy and lack of sensitivity to raw data.
 

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Background: Alzheimer's disease is the most common type of dementia, which is associated with progressive loss of memory and reaction to the environment. The aim of this study was to investigate the effect of 12 weeks of resistance training with sumac intake on the serum levels of SIR3, SIR4 and AMPK in Alzheimer's male rats.
Methods: In this experimental study, male Wistar rats with an age of 8-10 weeks and an average weight of 230±30 grams were randomly divided into five groups: control, Alzheimer's disease, Alzheimer's disease with sumac supplementation, Alzheimer's disease with resistance training, and Alzheimer's disease with resistance training. Received sumac supplements were divided. To induce Alzheimer's disease, 8 mg/kg of trimethyl tin chloride along with 200 microliters of normal saline were injected intraperitoneally to mice. Resistance training was performed for 12 weeks and 5 days a week on a special rat ladder. 48 hours after the last training session, a blood sample was taken. Serum levels of SIR3, SIR4 and AMPK were evaluated by ELISA method. To check the changes between the control group and other groups using the independent T-test and to check the difference between the other groups using the one-way analysis of variance test and if significant, using the Tukey post hoc test, by SPSS version 29 software at a significance level of P< 0.05 used.
Results: The results of this research showed that 12 weeks of resistance training increases the levels of SIR3 (P< 0.036), SIR4 (P< 0.029) and AMPK (P< 0.447) compared to the Alzheimer group. In addition, adding sumac to the resistance training program had a significant effect on the levels of SIR3 (P< 0.078), SIR4 (P< 0.024) and AMPK (P< 0.002).
Conclusion: Our results suggest that resistance training is associated with the improvement of sirtuin 3, sirtuin 4 and adenosine monophosphate kinase levels in Alzheimer's rats and receiving sumac antioxidant compound leads to doubling of these responses.

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Background: Insulin resistance plays a fundamental role in disorders such as obesity, diabetes, cardiovascular diseases, and metabolic syndrome. Regular physical activity and the use of medicinal plants are important strategies for its reduction and management. Ginger has attracted research attention due to its phytochemical compounds that influence insulin signaling pathways. Despite numerous studies, a bibliometric analysis examining the effects of exercise and ginger supplementation on insulin resistance has not yet been conducted. Therefore, the present study aimed to analyze the trends in Iranian research in this field.
Methods: In a bibliometric review, the keywords “training,” “ginger supplementation,” and “insulin resistance” were searched in the Magiran database. According to the entry criteria, 13 eligible articles were selected and data extracted from them, including writing pattern, collaboration, prolific authors and institutions, selected journals and study trends, and common keywords were extracted from the database of recipients and analyzed using VOSviewer software.
Results: The results indicated that 36 authors had an average of 3.23 ± 0.89 cooperation in writing articles. Fifty-four percent of the articles were published by public university faculty and 46% by independent universities. The most frequent keywords included "ginger", "insulin resistance", "obesity", "diabetes mellitus", "irisin" and "lipid peroxidation".
Conclusion: The results of this bibliometric study showed that exercise with ginger supplement reduced insulin resistance. In particular, 84% of the articles showed the positive effect of combined exercises (resistance and aerobic exercises) along with ginger supplements on the reduction of insulin resistance. Compared to other types of exercise, these exercises have had the greatest effect on improving the glycemic profile and body composition. In addition, high intensity interval training (HIIT) has also shown positive effects on reducing insulin resistance, but is not as effective as combined training. Also, due to the relationship between insulin resistance and various diseases, it is felt to conduct more studies on diverse statistical populations and people suffering from various diseases.