Introduction: Dyslipidemia may be defined as increased levels of serum total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), or a decreased serum high-density lipoprotein cholesterol (HDL-C) concentration. Dyslipidemia is an established risk factor for cardiovascular disease (CVD). We aimed to investigate the association of dyslipidemia and CVD events among a population sample from Mashhad, in northeastern Iran. Material and methods: This prospective cohort study comprised a population of 8698 men and women aged 35-65 years who were recruited from the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) study. Socioeconomic and demographic status, anthropometric parameters, laboratory evaluations, lifestyle factors, and medical history were gathered through a comprehensive questionnaire and laboratory and clinical assessment for all participants. Cox regression model and 95% confidence interval (CI) were used to evaluate the association of dyslipidemia and its components with CVD incidence. Results: After 6 years of follow-up, 233 cases of CVD (including 119 cases of unstable angina [US], 74 cases of stable angina [SA], and 40 cases of myocardial infarction [MI]) were identified in the study population. Unadjusted baseline serum LDL-C, TC, and TG levels were positively associated with the risk of total CVD events among the entire population (HR: 1.54, 95% CI: 1.19-2; P-value< 0.01; HR: 1.53; 95% CI: 1.18-1.98; P < 0.01; HR: 1.57; 95% CI: 1.27-2.03; P < 0.01, respectively). However, after adjusting for confounding factors (age, body mass index [BMI], family history of CVD, smoking status [non-smoker, ex-smoker and current smoker], lipid lowering drug treatment, antihypertensive drug treatment, hypertension, healthy eating index [HEI], total energy intake, and presence of diabetes mellitus), a significant direct association only remained between TC and MI risk in men (HR: 2.71; 95%CI: 1.12-6.57; P-value< 0.05). Conclusion:In the present study, TC baseline level was significantly associated with the risk of MI among men.

The dietary inflammatory index (DII) is a novel way of describing diet that has been studied in relation to various health conditions, including cardiovascular disease (CVD) in several populations. We aimed to investigate the association between DII and CVD events among a representative population sample in northeastern Iran. This prospective cohort study was a subsample of 4,672 adults aged 35–65 years, and recruited as part of Mashhad stroke and heart atherosclerotic disorder cohort study population. The DII was computed at baseline according to a 65‐item validated food frequency questionnaire. Cox regression was used to determine the association of DII with incident CVD. One hundred twenty‐four participants developed CVD (including 24 cases of myocardial infarction [MI], 34 cases of stable angina [SA], and 66 cases of unstable angina [UA]). After adjusting for potential confounding factors, a hazard ratios of 1.06 (95% confidence interval: 0.70–1.60), 1.36 (95% confidence interval: 0.52–3.52), 1.33 (95% confidence interval: 0.60–2.94), and 0.86 (95% confidence interval: 0.48–1.53) were found for total CVD, MI, SA, and UA events, respectively, among the participants with proinflammatory diet (DII ≥ 0) versus those with anti‐inflammatory diet (DII < 0). There was no statistically significant association between the DII and total CVD, MI, SA, or UA in this population of middle‐aged Iranian men and women.

Background: Cardiovascular disease (CVD) is the principal cause of mortality and disability in Iranian adults. We aimed to evaluate the relationship between dietary patterns and CVD incidence in a large sample of adults in northeastern Iran. Methods: The present study comprised a prospective study of 5706 CVDfree men and women aged 35-65 years who participated in a cohort study. All of the participants were followed up for a 6-year period. Dietary patterns were derived from a 65-item validated food frequency questionnaire and the factor analysis method was used to determine dietary patterns. Results: We identified two major dietary patterns: (i) a Balanced dietary pattern (a high intake of green leafy vegetables, other vegetables, fruits, dairy products, red meats, poultry, seafoods, legumes and nuts, as well as a low intake of sugar) and (ii) a Western dietary pattern (a high intake of sugar, tea, egg, snacks, fast foods, potato, carbonated beverages, pickled foods, organs meat and butter) by factor analysis. The hazard ratio (HR) and 95% confidence intervals (CIs) of total CVD in the highest versus lowest tertiles of the Balanced pattern were 1.29 (95% CI = 0.67-2.47; P = 0.44). The HR and 95% CIs of CVD in the highest versus lowest tertiles of Western pattern were 2.21 (95% CI = 1.08-4.45; P = 0.03). Conclusions: During the 6-year follow-up, we found that adherence to a Balanced dietary pattern was not significantly associated with CVD events. However, adherence to a Western dietary pattern was associated with a significantly increased risk of CVD events and its associated risk. 789

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Background: Systemic inflammation is emerging as an important factor in the etiology of psychiatric disorders such as depression and anxiety. Therefore, the inflammatory potential of the diet may also be an etiological factor for these conditions, and this may be estimated by calculating the dietary inflammatory index (DII®) score. We aimed to investigate the association between DII score and incidence of depression and anxiety among a representative sample in northeastern Iran. Methods: This cross-sectional study undertook in a sub-sample of 7083 adults aged 35 to 65 years recruited as part of Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort study population, and after excluding subjects with incomplete data. All participants completed the Beck Anxiety Inventory (BAI), the Beck Depression Inventory II (BDI-II), and a validated 65-item food frequency questionnaire (FFQ). Logistic regression was used to evaluate the association between DII score and depression/anxiety score.

Protein-based nanocarriers have demonstrated good potential for cancer drug delivery. Silk sericin nano-particle is arguably one of the best in this field. In this study, we developed a surface charge reversal sericin-based nanocarrier to co-deliver resveratrol and melatonin (MR-SNC) to MCF-7 breast cancer cells as combination therapy. MR-SNC was fabricated with various sericin concentrations via flash-nanoprecipitation as a simple and reproducible method without complicated equipment. The nanoparticles were subsequently characterized for their size, charge, morphology and shape by dynamic light scattering (DLS) and scanning electron microscope (SEM). Nanocarriers chemical and conformational analysis were done by fourier transform infrared spectroscopy (FT-IR) and circular dichroism (CD) respectively. In vitro drug release was determined at different pH values (7.45, 6.5 and 6). The cellular uptake and cytotoxicity were studies using breast cancer MCF-7 cells. MR-SNC fabricated with the lowest sericin concentration (0.1%), showed a desirable 127 nm size, with a net negative charge at physiological pH. Sericin structure was preserved entirely in the form of nano-particles. Among the three pH values we applied, the maximum in vitro drug release was at pH 6, 6.5, and 7.4, respectively. This pH dependency showed the charge reversal property of our smart nanocarrier via changing the surface charge from negative to positive in mildly acidic pH, destructing the electrostatic interactions between sericin surface amino acids. Cell viability studies demonstrated the significant toxicity of MR-SNC in MCF-7 cells at all pH values after 48 h, suggesting a synergistic effect of combination therapy with the two antioxidants. The efficient cellular uptake of MR-SNC, DNA fragmentation and chromatin condensation was found at pH 6. Nutshell, our result indicated proficient release of the entrapped drug combination from MR-SNC in an acidic environment leading to cell apoptosis. This work introduces a smart pH-responsive nano-platform for anti-breast cancer drug delivery.

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Since the rise of the Covid-19 pandemic, several researchers stated the possibility of a positive relationship between Covid-19 spread and climatic parameters. An ecological study in 12 Iranian cities using the report of daily deaths from Covid-19 (March to August 2020) and validated data on air pollutants, considering average concentrations in each city in the last year used to analyze the association between chronic exposure to air pollutants and the death rate from Covid-19 in Iran. Poisson regression models were used, with generalized additive models and adjustment variables. A significant increase of 2.7% (IC(95%) 2.6–4.4) was found in the mortality rate due to Covid-19 due to an increase of 1  μg/m 3 of NO 2 . The results suggest an association between Covid-19 mortality and NO 2 exposure. As a risk approximation associated with air pollution, more precise analysis is done. The results also show a good consistency with studies from other regions; this paper's results can be useful for the public health policymakers and decision-making to control the Covid-19 spread.