Measuring electronic health literacy in the context of diabetes care: psychometric evaluation of a Persian version of the condition-specific eHealth literacy scale for diabetes.

BACKGROUND: The rise of the internet and social media has led to increased interest among diabetes patients in using technology for information gathering and disease management. However, adequate eHealth literacy is crucial for protecting patients from unreliable diabetes-related information online. OBJECTIVE: To examine the psychometric characteristics and explore the preliminary validity of the Persian version of the Condition-specific eHealth Literacy Scale for Diabetes (Persian CeHLS-D) to assess eHealth literacy in the context of diabetes care. METHODS: After adapting, translating, examining content validity, and pilot testing the questionnaire, it was administered to 300 patients with type 2 diabetes mellitus (T2DM). Construct validity was assessed through confirmatory factor analysis, convergent and known-groups validity. The internal consistency (Cronbach's alpha), composite reliability and maximum reliability, and test-retest correlation were assessed. RESULTS: Factor analysis supported the hypothesized two-factor model with 10 items, and the standardized factor loadings ranged from 0.44 to 0.86 (P-values < 0.001). Cronbach's alpha and test-retest correlation were good for each factor. Convergent validity was confirmed by significant correlations of Persian CeHLS-D with diabetes health literacy, perceived usefulness and importance of using the internet for health information, internet anxiety, and perceived physical and mental health. Know-groups validity determined using groups with different internet-use frequencies, and different attitudes towards providing online healthcare services, were satisfied. CONCLUSION: This study demonstrated the Persian CeHLS-D as a reliable and valid measure of eHealth literacy among patients with T2DM in Iran. Its satisfactory psychometric properties support its use in research and clinical settings to assess eHealth literacy and inform interventions.

Plasma acylcarnitines and amino acids in dyslipidemia: An integrated metabolomics and machine learning approach.

Purpose: The Discovery of underlying intermediates associated with the development of dyslipidemia results in a better understanding of pathophysiology of dyslipidemia and their modification will be a promising preventive and therapeutic strategy for the management of dyslipidemia. Methods: The entire dataset was selected from the Surveillance of Risk Factors of Noncommunicable Diseases (NCDs) in 30 provinces of Iran (STEPs 2016 Country report in Iran) that included 1200 subjects and was stratified into four binary classes with normal and abnormal cases based on their levels of triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and non-HDL-C.Plasma concentrations of 20 amino acids and 30 acylcarnitines in each class of dyslipidemia were evaluated using Tandem mass spectrometry. Then, these attributes, along with baseline characteristics data, were used to check whether machine learning (ML) algorithms could classify cases and controls. Results: Our ML framework accurately predicts TG binary classes. Among the models tested, the SVM model stood out, performing slightly better with an AUC of 0.81 and a standard deviation of test accuracy at 0.04. Consequently, it was chosen as the optimal model for TG classification. Moreover, the findings showed that alanine, phenylalanine, methionine, C3, C14:2, and C16 had great power in differentiating patients with high TG from normal TG controls. Conclusions: The comprehensive output of this work, along with sex-specific attributes, will improve our understanding of the underlying intermediates involved in dyslipidemia. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-024-01384-9.

Exploring the metabolomics profile of frailty- a systematic review.

Background: Frailty is a multifaceted geriatric syndrome characterized by an increased vulnerability to stressful events. metabolomics studies are valuable tool for better understanding the underlying mechanisms of pathologic conditions. This review aimed to elucidate the metabolomics profile of frailty. Method: This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) 2020 statement. A comprehensive search was conducted across multiple databases. Initially, 5027 results were retrieved, and after removing duplicates, 1838 unique studies were subjected to screening. Subsequently, 248 studies underwent full-text screening, with 21 studies ultimately included in the analysis. Data extraction was performed meticulously by two authors, and the quality of the selected studies was assessed using the Critical Appraisal Skills Program (CASP) checklist. Results: The findings revealed that certain Branched-chain amino acids (BCAAs) levels were lower in frail subjects compared to robust subjects, while levels of glutamate and glutamine were higher in frail individuals. Moreover, sphingomyelins and phosphatidylcholines (PC) displayed a decreasing trend as frailty advanced. Additionally, other metabolic derivatives, such as carnitine, exhibited significant associations with frailty. These metabolites were primarily interconnected through biochemical pathways related to the tricarboxylic acid and urea cycles. Notably, frailty was associated with a decrease in metabolic derivatives, including carnitine. Conclusion: This study underscores the intricate relationship between essential metabolites, including amino acids and lipids, and their varying levels in frail individuals compared to their robust counterparts. It provides a comprehensive panel of metabolites, shedding light on their potential associations with frailty and expanding our understanding of this complex syndrome.

In vivo and in silico evaluations of a synthetic pyrano[3,2-c]quinoline derivative as a potent anti-diabetic agent.

Background: The in vivo assessment of a novel compound is a pivotal step in the development of a new drug. In this study, we selected 1-(2-bromophenyl)-1,11-dihydro-3H-benzo[h]pyrano[3,2-c]quinoline-3,12(2H)-dione (2-BDBPQD), identified as an exemplary α-glucosidase inhibitor in preliminary in vitro assays, for further evaluation in an in vivo anti-diabetic context. Methods: The in vivo anti-diabetic effect of 2-BDBPQD was assessed using a streptozotocin (STZ)-induced diabetic Wistar rat model. Recognizing the relevance of lipid factors in diabetes, we also investigated the impact of this compound on the lipid profile of diabetic Wistar rats. In silico studies, encompassing docking studies and pharmacokinetic predictions of 2-BDBPQD, were conducted. Results: The results obtained indicated a significant reduction in blood glucose levels with 2-BDBPQD treatment compared to acarbose. However, no significant effects on the lipid profile were observed. In silico studies revealed that 2-BDBPQD interacted with key residues in the α-glucosidase active site and exhibited favorable pharmacokinetic properties. Conclusion: In summary, the study demonstrated the in vivo anti-hyperglycemic activity of 2-BDBPQD. Nevertheless, further in vivo evaluations are recommended to comprehensively assess its potential as a new drug for the treatment of diabetes.

Inflammation and immunological disarrays are associated with acute exercise in type 2 diabetes.

Objective: Type 2 diabetes (T2D) is the most common metabolic disorder that is associated with insulin resistance. The aim of the present study is to discover details of the molecular mechanism of exercise on control or progress of diabetic condition in patients via network analysis. Methods: Gene expression profiles of patients with T2D before and after doing exercise are retrieved from Gene Expression Omnibus (GEO) and are pre-evaluated by the GEO2R program. Data are studied based on expression values, regulatory relationships between the differentially expressed genes (DEGs), gene ontology analyses, and protein-protein interaction PPI network analysis. Results: A number of 118 significant DEGs were identified and classified based on fold change (FC) values as most dysregulated genes and dysregulated individuals. Action map analysis revealed that 18 DEGs appeared as the critical genes. Gene ontology analysis showed that 24 DEGs are connected to at least four pathways. JUN, IL6, IL1B, PTGS2, FOS, MYC, ATF3, CXCL8, EGR1, EGR2, NR4A1, PLK3, TTN, and UCP3 were identified as central DEGs. Conclusion: Finally; JUN, IL6, IL1B, PTGS2, FOS, ATF3, CXCL8, EGR1, and EGR2 were introduced as the critical targeted genes by exercise. Since the critical genes after exercise are upregulated and mostly are known as the risk factors of T2D, it can be concluded that unsuitable exercise can develop diabetic conditions in patients. Acute exercise-induced inflammation and immune disturbances seem to be associated with the development of T2D in patients.

Metabolomics Signature in Prediabetes and Diabetes: Insights From Tandem Mass Spectrometry Analysis.

OBJECTIVE: This study investigates the metabolic differences between normal, prediabetic and diabetic patients with good and poor glycaemic control (GGC and PGC). DESIGN: In this study, 1102 individuals were included, and 50 metabolites were analysed using tandem mass spectrometry. The diabetes diagnosis and treatment standards of the American Diabetes Association (ADA) were used to classify patients. METHODS: The nearest neighbour method was used to match controls and cases in each group on the basis of age, sex and BMI. Factor analysis was used to reduce the number of variables and find influential underlying factors. Finally, Pearson's correlation coefficient was used to check the correlation between both glucose and HbAc1 as independent factors with binary classes. RESULTS: Amino acids such as glycine, serine and proline, and acylcarnitines (AcylCs) such as C16 and C18 showed significant differences between the prediabetes and normal groups. Additionally, several metabolites, including C0, C5, C8 and C16, showed significant differences between the diabetes and normal groups. Moreover, the study found that several metabolites significantly differed between the GGC and PGC diabetes groups, such as C2, C6, C10, C16 and C18. The correlation analysis revealed that glucose and HbA1c levels significantly correlated with several metabolites, including glycine, serine and C16, in both the prediabetes and diabetes groups. Additionally, the correlation analysis showed that HbA1c significantly correlated with several metabolites, such as C2, C5 and C18, in the controlled and uncontrolled diabetes groups. CONCLUSIONS: These findings could help identify new biomarkers or underlying markers for the early detection and management of diabetes.

Burden of type 2 diabetes mellitus and its risk factors in North Africa and the Middle East, 1990-2019: findings from the Global Burden of Disease study 2019.

BACKGROUND: The prevalence of Type 2 Diabetes Mellitus (T2DM) in the North Africa and Middle East region is alarmingly high, prompting us to investigate the burden and factors contributing to it through the GBD study. Additionally, there is a lack of knowledge about the epidemiological status of T2DM in this region, so our aim is to provide a comprehensive overview of the burden of T2DM and its associated risk factors. METHODS: Using data from the 2019 Global Burden of Disease Study, we calculated the attributable burden of T2DM for each of the 21 countries in the region for the years 1990 and 2019. This included prevalence, mortality, disability-adjusted life years (DALYs), and risk factors. RESULTS: Between 1990 and 2019, there was a significant increase in the age-standardized incidence (79.6%; 95% Uncertainty Interval: 75.0 to 84.5) and prevalence (85.5%; [80.8 to 90.3]) rates of T2DM per 100,000 populations. The age-standardized mortality rate (1.7%; [-10.4 to 14.9]), DALYs (31.2%; [18.3 to 42.2]), and years lived with disability (YLDs) (82.6%; [77.2 to 88.1]) also increased during this period. Modifiable risk factors, such as high body mass index (56.4%; [42.8 to 69.8]), low physical activity (15.5%; [9.0 to 22.8]), and ambient particulate matter pollution (20.9%; [15.2 to 26.2]), were the main contributors to the number of deaths. CONCLUSION: The burden of T2DM, in terms of mortality, DALYs, and YLDs, continues to rise in the region. The incidence rate of T2DM has increased in many areas. The burden of T2DM attributed to modifiable risk factors continues to grow in most countries. Targeting these modifiable risk factors could effectively reduce the growth and disease burden of T2DM in the region.

Insight into the Predictive Power of Surrogate Diagnostic Indices for Identifying Individuals with Metabolic Syndrome.

BACKGROUND: This study aimed to assess the diagnostic capability of insulin surrogate measurements in identifying individuals with metabolic syndrome (MetS) and propose applicable indices derived from fasting values, particularly in large study populations. METHODS: Data were collected from the datasets of the Surveillance of Risk Factors of NCDs in Iran Study (STEPS). MetS was defined based on the National Cholesterol Education Program (NCEP) criteria. Various insulin surrogate indices, including Homeostasis Model Assessment (HOMA), Quantitative Insulin Sensitivity Check Index (QUICKI), Fasting glucose to insulin ratio (FGIR), Reynaud, Reciprocal insulin, McAuley, Metabolic Score for Insulin Resistance (METS-IR), Triglyceride-glucose index (TyG), TG/ HDL-C, TG/ BMI, and TG/ WC ratio were assessed. Receiver Operating Characteristic (ROC) curves were used to assess pathologic conditions and determine the optimal cut-off through the highest score of the Youden index. Also, Area Under the Curve (AUC) values were established for each index totally and according to sex, age, and BMI differences. RESULTS: The study population consisted of 373 individuals (49.9% women; 75.1% middle age, 39.1% obese, and 27.3% overweight), of whom 117 (31.4%) had MetS. The METS-IR (AUC: 0.856; 95% CI: 0.817-0.895), TG/ HDL-C (AUC: 0.820; 95% CI: 0.775-0.886), TyG (AUC: 0.808; 95% CI: 0.759-0.857), and McAuley (AUC: 0.804; 95% CI: 0.757-0.852) indices provided the greatest AUC respectively for detection of MetS. The values of AUC for all the indices were higher in men than women. This trend was consistent after data stratification based on BMI categories, middle age, and senile individuals. CONCLUSION: The present study indicated that indices of insulin, including METS-IR, TG/HDLC, TyG, and McAuley, have an equal or better capacity in determining the risk of MetS than HOMA-IR, are capable of identifying individuals with MetS and may provide a simple approach for identifying populations at risk of insulin resistance.

Association between ELMO1 gene polymorphisms and diabetic kidney disease: A systematic review and meta-analysis.

BACKGROUND: Previous research has suggested that the ELMO1 gene may play a role in the development of diabetic kidney disease. Diabetic kidney disease (DKD) is a serious complication of diabetes and the leading cause of chronic kidney disease and end-stage renal disease (ESRD). OBJECTIVE AND RATIONALE: This study aim was to systematically review and explore the association between ELMO1 gene polymorphisms and diabetic kidney disease. A comprehensive systematic review provides a clear conclusion and high-level evidence for the association between ELMO1 gene and DKD for future application in personalized medicine. METHODS: A comprehensive search of electronic databases, per PRISMA instructions, was conducted in Scopus, EMBASE, Web of Science, and PubMed databases from 1980 to January 2023. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using appropriate models. Subgroup and sensitivity analyses were performed to explore potential sources of heterogeneity and assess the robustness of the findings. RESULTS: A total of 5794 diabetes patients with DKD, 4886 diabetes patients without DKD, and 2023 healthy controls were included in the 17 studies that made up this systematic review. In the investigation of DM (Diabetes Mellitus) with DKD vs. DM without DKD, the susceptibility for DKD for the EMLO1 rs741301 polymorphism indicated a significant difference under the dominant, homozygote, and recessive genetic models. The susceptibility for DKD for the EMLO1 rs1345365, rs10255208, and rs7782979 polymorphisms demonstrated a significant difference under the allele genetic models in the analysis of DM with DKD vs. DM without DKD groups. There was a considerable increase in DKD risk in the Middle East when the population was stratified by the region. CONCLUSION: The findings of the meta-analysis show that there are a significant connection between the EMLO1 rs741301 polymorphism and DKD susceptibility in overall analyses; as well as rs1345365, rs10255208, and rs7782979 polymorphisms; especially in the Middle East region.

Pituitary tumor registry: a multidisciplinary program protocol.

Purpose: This registry aims to collect information to create an appropriate platform for the development of a basis for clinical research and basic sciences to carefully study pituitary adenomas. Methods: Demographic data, diagnosis, treatment, and outcome information of the patients with a confirmed diagnosis of pituitary adenomas will be collected by investigators of the registry. Analysis of registry data generates aggregate reports summarizing pituitary tumor epidemiology, treatment, and outcome. These reports include annual public data reports. In the future, the registry program may provide a wider network in Iran and ultimately support the expansion of international studies. Conclusion: For a long time, patients with pituitary adenomas should be observed. Implementing a registration system would greatly reduce the challenges of patients' follow-up so that their monitoring can be improved.

Association of ABCC8 gene variants with response to sulfonylurea in type 2 diabetes mellitus.

Background: Diabetes mellitus (DM) is associated with high blood glucose levels and sulfonylureas (SFUs) are one of the treatment options for DM. SFUs bind to sulfonylurea-1 receptor (SUR1), which is encoded by the ABCC8 gene and leads to blood glucose reduction. Genetic variants like rs757110 and rs1799854 of ABCC8 can influence the response to the drug's efficiency. Therefore, this study aimed to investigate the association between the ABCC8 rs757110 and rs1799854 genetic variants and response to SFUs treatment. Methods: Totally, 61 DM patients with SFUs treatment were included. Baseline characteristics of the patients were recorded and 5 ml of blood was taken from each patient. After DNA extraction, a sequence containing rs757110 and rs1799854 was synthesized by the PCR method, and the PCR products were used for Sanger sequencing. Results: Frequencies of GG, GA, and AA genotypes of rs1799854 variant was 12 (40%), 14 (46.7%), and 4 (13.3%), and the frequencies of CC, AC, and AA genotypes for rs757110 variant was 3 (9.7%), 5 (16.1%) and 23 (74.2%) in, respectively. Patients with different genotypes had the same age, BMI (body mass index), initial FBS (Fasting blood sugar), initial HbA1c, treatment duration, gender and history of smoking, alcohol consumption, and exercise. There was no significant difference in FBS and HbA1c changes after SFUs treatment between patients with rs757110 variant (p = 0.39 for FBS and p = 0.76 for HbA1c) and rs1799854 (p = 0.24 for FBS and p = 0.36 for HbA1c). Conclusion: The rs1799854 and rs757110 variants of the ABCC8 gene had no significant influence on response to SFUs treatment.

Metabolomics profile and 10-year atherosclerotic cardiovascular disease (ASCVD) risk score.

Background: The intermediate metabolites associated with the development of atherosclerotic cardiovascular disease (ASCVD) remain largely unknown. Thus, we conducted a large panel of metabolomics profiling to identify the new candidate metabolites that were associated with 10-year ASCVD risk. Methods: Thirty acylcarnitines and twenty amino acids were measured in the fasting plasma of 1,102 randomly selected individuals using a targeted FIA-MS/MS approach. The 10-year ASCVD risk score was calculated based on 2013 ACC/AHA guidelines. Accordingly, the subjects were stratified into four groups: low-risk (n = 620), borderline-risk (n = 110), intermediate-risk (n = 225), and high-risk (n = 147). 10 factors comprising collinear metabolites were extracted from principal component analysis. Results: C4DC, C8:1, C16OH, citrulline, histidine, alanine, threonine, glycine, glutamine, tryptophan, phenylalanine, glutamic acid, arginine, and aspartic acid were significantly associated with the 10-year ASCVD risk score (p-values ≤ 0.044). The high-risk group had higher odds of factor 1 (12 long-chain acylcarnitines, OR = 1.103), factor 2 (5 medium-chain acylcarnitines, OR = 1.063), factor 3 (methionine, leucine, valine, tryptophan, tyrosine, phenylalanine, OR = 1.074), factor 5 (6 short-chain acylcarnitines, OR = 1.205), factor 6 (5 short-chain acylcarnitines, OR = 1.229), factor 7 (alanine, proline, OR = 1.343), factor 8 (C18:2OH, glutamic acid, aspartic acid, OR = 1.188), and factor 10 (ornithine, citrulline, OR = 1.570) compared to the low-risk ones; the odds of factor 9 (glycine, serine, threonine, OR = 0.741), however, were lower in the high-risk group. "D-glutamine and D-glutamate metabolism", "phenylalanine, tyrosine, and tryptophan biosynthesis", and "valine, leucine, and isoleucine biosynthesis" were metabolic pathways having the highest association with borderline/intermediate/high ASCVD events, respectively. Conclusions: Abundant metabolites were found to be associated with ASCVD events in this study. Utilization of this metabolic panel could be a promising strategy for early detection and prevention of ASCVD events.

Changes in clinic visits and diabetes and metabolic control in patients with type 2 diabetes during COVID-19 pandemic: A real world evidence.

PURPOSE: The study aim was to evaluate the effects of public lockdown during the covid-19 pandemic on glucose and metabolic parameters as well as body weight control in type 2 diabetic patients. METHODS: This study was conducted in two outpatient Diabetes Clinics and analyzed data available in database of Diabetes Clinic. Data related to a year before covid-19 pandemic and a year during covid-19 pandemic was collected from the database and analyzed. Patients with type 2 diabetes included in the analysis if they had referred to Diabetes Clinics both before and during covid-19 pandemic. Demographic information and data about metabolic status were collected from the records of previous outpatient Clinic visits and compared RESULTS: Finally 9440 patients with mean age of 61.08 ± 11.62 referred to Diabetes Clinics in both the year before and the year of the corona pandemic. Mean FBS and HbA1c in diabetes patients reduced significantly from 155.37 ± 62.93 and 7.97 ± 1.74 before pandemic, respectively to 138.77 ± 45.39 and 7.54 ± 1.34, respectively during covid-19 outbreak. During covid-19 pandemic, all metabolic parameters including glycemic and lipid profile (except for triglyceride) and BMI (body mass index) reduced significantly statistically, but, these changes were not clinically significant. However, triglyceride level increased statistically significantly but again it was not significant clinically. CONCLUSION: During COVID-19 lockdown, glycemic and metabolic control of diabetes patients have improved significantly except for triglycerides.

National and sub-national burden and trend of type 1 diabetes in 31 provinces of Iran, 1990-2019.

The aim of the study was to report the burden of type one diabetes mellitus (T1DM) by sex, age, year, and province in Iran over the past 30 years, according to data provided by the global burden of disease (GBD) study. Incidence, prevalence, death, disability-adjusted life-years (DALYs), years of life lost, and years lived with disability due to T1DM by age groups and sex was reported for 31 provinces of Iran from 1990 to 2019 with their 95% uncertainty intervals (UI). In 2019, national age-standardized incidence (11.0 (95% UI: 8.9-13.5)), prevalence (388.9 (306.1-482.1)), death (0.7 (0.6-0.8)), and DALYs (51.7 (40.9-65.1)) rates per 100,000 wre higher than 1990 except for death. Also, the mortality to incidence ratio reduced in all provinces over time particularly after 2014 as well. GBD data analysis showed that age-standardized incidence and prevalence rates of T1DM have increased, the death rate reduced, and DALYs remained unchanged during the past 30 years in Iran and its 31 provinces. death rate reduced and DALYs remained unchanged during the past 30 years in Iran and its 31 provinces.

Ramadan fasting and type 1 diabetes: a scoping review protocol.

INTRODUCTION: Ramadan fasting is globally observed and a great majority of the residents of Islamic countries and elsewhere fast during Ramadan all across the world every year. Many patients with type 1 diabetes fast during Ramadan according to (or against) medical and jurisprudence advice. Nonetheless, there is a paucity of scientific evidence regarding the risks patients with diabetes who fast may be confronted with. The current scoping review protocol aims at systematic analysis and mapping of existing literature in the field and highlighting scientific gaps. METHODS AND ANALYSES: This scoping review will be conducted based on the Arksey and O'Malley's methodological framework with consideration of later modifications and amendments. Three major scientific databases, namely PubMed, Scopus and Embase up to February 2022 will be systematically searched by expert researchers in collaboration with a medical librarian. Considering the fact that Ramadan Fasting is a cultural-dependent subject, which may be studied in the Middle Eastern and Islamic Countries in languages other than English, local Persian and Arabic Databases will also be included. Grey literature will be sought too, and unpublished works such as conference proceedings and academic degree dissertation will be considered. Subsequently, one author will screen and record all abstracts, and two reviewers will independently screen and retrieve eligible full texts. A third reviewer will then be designated to resolve potential discrepancies. Standardised data charts and forms will be used for information extraction and reporting of the outcomes. ETHICS AND DISSEMINATION: No ethical considerations apply to this research. Results will be published and presented in academic journals and scientific events.

The impact of letrozole on oocyte quality in assisted reproductive technology (ART); a randomized double-blind clinical trial.

OBJECTIVE: To examine the effect of letrozole on oocyte quality and pregnancy outcome in assisted reproductive technology (ART). METHODS: This double blind placebo controlled clinical trial was conducted in Vali-Asr Infertility Center. Infertile women candidate for IVF that underwent antagonist protocol were selected. Eligible women randomly allocated into treatment (letrozole/Let group) and control (placebo) group. Participants received letrozole 5 mg/day or placebo at the time of gonadotropin start until trigger day in the same manner. Number of oocyte retrieved, metaphase II oocyte number, high grade oocyte number (G1), high quality embryo, Chemical and clinical pregnancy rate and OHSS (ovarian hyperstimulation syndrome) rate was recorded. 216 infertile women (104 in letrozole and 112 in the control group) were evaluated. RESULTS: In the Let group estradiol level was significantly lower (p_value < .001) and testosterone significantly higher than in the control group (p_value = .02). The number of retrieved oocytes, MII oocytes, G1 oocytes, and 2PN was significantly lower in the Let group (p < .05). No significant difference was found in the day of stimulation, total gonadotropin dose, OHSS rate, and clinical pregnancy rate between the two groups (p > 0.05). CONCLUSIONS: According to the results, letrozole may reduce oocyte quality and cause poor IVF outcomes as well.

Mapping evidence of Iran diabetes research: protocol for a scoping review.

Background: A considerable amount of research funding goes to diabetes management strategies to improve therapeutic goals and reduce the burden of diabetes. A vast amount of the budget is wasted due to unnecessary studies. A scoping review is a pivotal study to overview the available evidence and avoid research waste. In this review, we will try to find out the scope of available studies on diabetes management interventions, identify associated research gaps, and prioritize future studies. Method: We will carry out a study using Arksey and O'Malley's scoping review framework. We will search the Scopus and PubMed databases from 01/01/2015 till 01/01/2020. Only original articles related to pharmacological and non-pharmacological management interventions will be included. These interventional studies should be conducted on the Iranian population. After data extraction, a descriptive data analysis will be used to present information in different charts or tables. We will evaluate related published articles based on their document type, level of evidence, type of diabetes, subject area, interventions types, main findings and outcomes. Discussion: This study represents the first attempt to sum up available studies related to diabetes management interventions performed in Iran. The results of this study will be useful for all the stakeholders and policy-makers involved in diabetes research. It can help clinicians to be informed about studies on management interventions and can guide scientists eager to diabetes research to choose their future research plans based on diabetes research requirements and gaps.

Association of fat mass and obesity-associated (FTO) gene polymorphisms with non-communicable diseases (NCDs) in the Iranian population: A systematic review of observational studies.

Background: Single nucleotide polymorphisms have been implicated in various diseases, most notably non-communicable diseases (NCDs). The aim of this study was to review available evidence regarding associations between FTO polymorphisms and NCDs in the Iranian population. Methods: A comprehensive search was conducted through PubMed/Medline and Scopus databases up to December 2021, as well as reference lists of pertinent articles and key journals. All observational studies that examined the association between FTO gene polymorphisms and NCDs in the Iranian population were included. There was no limitation on the publication year. The Newcastle-Ottawa Scale (NOS) was used to assess the study's quality. Results: The initial search yielded 95 studies, of which 30 studies were included in the current systematic review. The underlying disorders were obesity, type 2 diabetes, breast and colorectal cancers, depression, and metabolic syndrome. These studies found an association between FTO gene polymorphisms and obesity in the Iranian population, but the relationship with other NCDs was debatable. Even though, other diseases such as diabetes and metabolic syndrome, which are closely related to obesity, may also be associated with FTO gene polymorphisms. Conclusion: FTO gene polymorphism appears to play a role in the occurrence of NCDs. Some of the study results may be misleading due to ethnic differences and the effect of other genetic factors on disease onset, which needs to be investigated further. Finally, FTO gene polymorphisms can be studied as a preventive or therapeutic target. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-022-01139-4.

Scientometric Analysis of Global Scientific Publications on COVID-19 and Diabetes with an Emphasis on Middle Eastern Countries.

Background: Due to the worldwide spread of COVID-19, various countries have designed scientific studies on different aspects of the disease. Patients with diabetes mellitus (DM) have been proven to be at higher risk of COVID-19-related complications, hospitalization, and death. Objectives: The aim was to conduct a scientometric analysis of scholarly outputs on diabetes and COVID-19. Methods: Web of Science was searched for scientific publications on diabetes and COVID-19 by Middle Eastern researchers until September 14, 2021. Collected data were analyzed for document type, subject area, countries, top journals, citation number, and authors' collaboration network using VOS viewer 1.6.15 and bibliometrix R-package 4.1.1. Results: Overall, the characteristics of 603 documents on DM and COVID-19 were analyzed. The top three productive countries in the field were Iran, Turkey, and Saudi Arabia. The top affiliation was from Iran; "Tehran University of Medical Sciences" (n = 168), followed by "Shahid Beheshti University of Medical Sciences" (n = 82). The total citation number was 3704 times. The highest cited paper (348) was a systematic review from Iran, published in arch Acad Emerg Med. The top source was "Diabetes & Metabolic Syndrome: Clinical Research & Reviews," with 26 documents. Conclusions: The current study provides an overview of the quantity and quality of published scholarly documents on the intersection of DM and COVID-19 in the region. Our findings help scientists find the existing gaps, manage the research budgets, identify active authors and scientific institutes to collaborate with, and use their experience to produce new knowledge in the future.

Physical Activity Behavior During the COVID-19 Outbreak in Individuals with Type 2 Diabetes: Role of Social Support and Other Covariates.

Objectives: This study was performed to investigate whether social support and other psychological predictors were associated with physical activity during the prolonged social isolation due to the coronavirus disease 2019 outbreak in Iran. Methods: This cross-sectional study was performed on 494 individuals with type 2 diabetes (T2D) in a diabetes specialty clinic. The questionnaire package comprised five parts, including sociodemographic and clinical characteristics, physical activity level, diabetes-specific social support, feelings of isolation, and diabetes-related distress. Clinical and hemoglobin A1c data were obtained from electronic medical records. Descriptive statistics, Pearson's chi-square test, and multivariable logistic regressions were conducted to analyze the data. Results: Approximately 71% of the participants participated in low/insufficient levels of physical activity. The participants who received support from family/friends (odds ratio [OR] = 1.77; 95% confidence interval [CI]: 1.47 - 2.74), diabetes care team (OR = 1.42; 95% CI: 1.15 - 1.77), and neighbors (OR = 1.53; 95% CI: 1.20 - 2.08) were more likely to have sufficient physical activity than those who did not receive these supports. There was also an association between physical activity behavior with feelings of isolation and diabetes distress. Conclusions: This study points to the importance of social support as an amplifier mechanism for the maintenance of physical activity behavior in individuals with T2D during critical times.