Aims/HypothesisTo investigate secular trends in cardiovascular disease (CVD) risk factors during a decade of follow-up in a Middle Eastern cohort, and to compare observed trends between diabetic and non-diabetic populations.MethodsIn a population of 6181 participants (2622 males and 3559 females), diabetes status and CVD risk factors were evaluated in 4 study phases from 1999–2011. 1045 subjects had type 2 diabetes mellitus at baseline and 5136 participants were diabetes-free. To examine the trends of CVD risk factors, generalized estimation equation models were constructed. The interaction between the diabetes status and each phase of the study was checked in a separate model.ResultsDuring the follow-up period diabetic females significantly gained better control of their blood pressure, serum low density lipoprotein cholesterol and general and central obesity measures compared to non-diabetic counterparts, although 60% of them had high BP and 64% had high serum LDL-C levels till the end of the study. Diabetic males however, experienced significantly better control on their serum LDL-C and general and central obesity measures compared to their non-diabetic controls; but 24% of them were still smoker, 63% had high BP and 60% had high serum LDL-C levels at the end of the follow-up (all Ps interaction <0.05). Use of lipid-lowering and antihypertensive medications increased consistently in both diabetic and non-diabetic populations.Conclusions/InterpretationAlthough CVD risk factors have been controlled to some extent among diabetic population in Iran, still high numbers of people with diabetes have uncontrolled CVD risk factors that prompt more attention.

More than 4% of the Iranian population develop pre-diabetes each year, emphasizing the important role of socio-economic factors (marital status, education and smoking habits) and community-based intervention in progression to impaired glucose regulations. Thus, emergent intervention is necessary to halt the tsunami of pre-diabetes among the Iranian population.

Diabetic kidney disease (DKD) is a highly prevalent complication of diabetes and the leading cause of end‐stage kidney disease. Inflammation is recognized as an important driver of progression of DKD. Activation of the immune response promotes a pro‐inflammatory milieu and subsequently renal fibrosis, and a progressive loss of renal function. Although the role of the innate immune system in diabetic renal disease has been well characterized, the potential contribution of the adaptive immune system remains poorly defined. Emerging evidence in experimental models of DKD indicates an increase in the number of T cells in the circulation and in the kidney cortex, that in turn triggers secretion of inflammatory mediators such as interferon‐γ and tumor necrosis factor‐α, and activation of cells in innate immune response. In human studies, the number of T cells residing in the interstitial region of the kidney correlates with the degree of albuminuria in people with type 2 diabetes. Here, we review the role of the adaptive immune system, and associated cytokines, in the development of DKD. Furthermore, the potential therapeutic benefits of targeting the adaptive immune system as a means of preventing the progression of DKD are discussed.

To evaluate the joint effect of hypertension (HTN) and diabetes (DM) on coronary heart disease (CHD), and stroke event, all-cause, and cardiovascular disease (CVD) mortality in Middle Eastern older adults, 2747 people (1436 women) aged ≥ 50 years, free of CVD at baseline, were categorized into four groups (HTN−/DM−, HTN+/DM−, HTN−/DM+, HTN+/DM+). Multivariate Cox proportional hazard models were run for different outcomes. To compare the impact of HTN versus DM, HTN+/DM− was considered as reference. In a median of 13.9 years, incidence rate of CHD, and stroke event, all-cause and CVD mortality in total population were 19.0, 4.7, 13.5, and 6.4 per 1000 person-years, respectively. The multivariate sex-adjusted hazard ratios (HRs) of HTN−/DM+ for CHD, stroke, all-cause mortality and CVD mortality were 1.19 (confidence interval (CI): 0.9–1.57), 1.07 (CI: 0.63–1.82), 1.62 (CI: 1.2–2.18), and 1.28 (CI: 0.83–1.97); the corresponding HRs for HTN+/DM+ were 1.96 (CI: 1.57–2.46), 1.66 (CI: 1.1–2.52), 2.32 (CI: 1.8–2.98), and 2.6 (CI: 1.85–3.65) respectively. The associations between HTN/DM status with stroke incidence and all-cause mortality were stronger among men than in women (P for interaction <0.05). Compared to HTN+/DM−, HTN−/DM+ increases all-cause mortality by 62%, however, they are not considerably different regarding CHD, stroke incidence and CVD mortality.

BackgroundTo determine the anthropometric indices that would predict type 2 diabetes (T2D) and delineate their optimal cut-points.MethodsIn a cohort study, 7017 Iranian adults, aged 20–60 years, free of T2D at baseline were investigated. Using Cox proportional hazard models, hazard ratios (HRs) for incident T2D per 1 SD change in body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR), waist to hip ratio (WHR), and hip circumference (HC) were calculated. The area under the receiver operating characteristics (ROC) curves (AUC) was calculated to compare the discriminative power of anthropometric variables for incident T2D. Cut-points of each index were estimated by the maximum value of Youden’s index and fixing the sensitivity at 75%. Using the derived cut-points, joint effects of BMI and other obesity indices on T2D hazard were assessed.ResultsDuring a median follow-up of 12 years, 354 men, and 490 women developed T2D. In both sexes, 1 SD increase in anthropometric variables showed significant association with incident T2D, except for HC in multivariate adjusted model in men. In both sexes, WHtR had the highest discriminatory power while HC had the lowest. The derived cut-points for BMI, WC, WHtR, WHR, and HC were 25.56 kg/m2, 89 cm, 0.52, 0.91, and 96 cm in men and 27.12 kg/m2, 87 cm, 0.56, 0.83, and 103 cm in women, respectively. Assessing joint effects of BMI and each of the obesity measures in the prediction of incident T2D showed that among both sexes, combined high values of obesity indices increase the specificity for the price of reduced sensitivity and positive predictive value.ConclusionsOur derived cut-points differ between both sexes and are different from other ethnicities.Electronic supplementary materialThe online version of this article (10.1186/s12889-018-5611-6) contains supplementary material, which is available to authorized users.

IntroductionTimely detection leading to the implementation of reno-protective measures reduces the progression of diabetic kidney disease. Estimated glomerular filtration rate (eGFR) is a major surrogate of kidney function. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) Equation is a tool to estimate GFR. This protocol outlines a systematic-review, assessing the diagnostic accuracy of the CKD-EPI equation in adults with diabetes.Methods and analysisMEDLINE, Embase, Cochrane Central Register of Controlled Trials and grey literature will be searched for publications in English, Farsi, Dutch and Chinese from 2009 (when CKD-EPI was first introduced) to January 2019. Bridging searches will be conducted to capture literature published from January 2019 until final review publication. The inclusion criteria will be (1) study participants with diabetes; (2) age ≥18 years; (3) creatinine-based CKD-EPI eGFR as index test; (4) measured GFR using the clearance/plasma disappearance of inulin, iohexol, iothalamate, diethylenetriamine-pentaacetic acid (DTPA) or chromium labelled ethylenediaminetetraacetic acid (Cr-EDTA) as reference test; (5) report of the diagnostic accuracy of the index test. Exclusion criteria will be participants with renal transplant, chronic use of corticosteroids, chronic inflammatory diseases, pregnancy, non-diabetes related kidney disease, thalassaemia, heart failure, pregnancy and potential kidney donors as well as critically ill patients. Screening, eligibility check, risk of bias assessment and data extraction will be carried out by two independent reviewers. Any discrepancies will be discussed, and third-party opinion will be sought. The risk of bias will be assessed using the Quality Assessment of Diagnostic Accuracy Studies−2 tool. A quantitative synthesis of the aggregated-data will be used if the included studies are homogenous.Ethics and disseminationNo ethics approval is required. The outcome will be published in a peer-reviewed journal. The results will help researchers and clinicians evaluate the diagnostic accuracy of the creatinine-based CKD-EPI eGFR in adults with diabetes.PROSPERO registration numberCRD42018108776

Diabetic kidney disease is expected to increase rapidly over the coming decades with rising prevalence of diabetes worldwide. Current measures of kidney function based on albuminuria and estimated glomerular filtration rate do not accurately stratify and predict individuals at risk of declining kidney function in diabetes. As a result, recent attention has turned towards identifying and assessing the utility of biomarkers in diabetic kidney disease. This review explores the current literature on biomarkers of inflammation and kidney injury focussing on studies of single or multiple biomarkers between January 2014 and February 2020. Multiple serum and urine biomarkers of inflammation and kidney injury have demonstrated significant association with the development and progression of diabetic kidney disease. Of the inflammatory biomarkers, tumour necrosis factor receptor-1 and -2 were frequently studied and appear to hold most promise as markers of diabetic kidney disease.With regards to kidney injury biomarkers, studies have largely targeted markers of tubular injury of which kidney injury molecule-1, beta-2-microglobulin and neutrophil gelatinase-associated lipocalin emerged as potential candidates. Finally, the use of a small panel of selective biomarkers appears to perform just as well as a panel of multiple biomarkers for predicting kidney function decline.

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