The effect of data balancing approaches on the prediction of metabolic syndrome using non-invasive parameters based on random forest.

BACKGROUND: Metabolic syndrome (MetS) is a cluster of metabolic abnormalities (including obesity, insulin resistance, hypertension, and dyslipidemia), which can be used to identify at-risk populations for diabetes and cardiovascular diseases, the main causes of morbidity and mortality worldwide. The achievement of a simple approach for diagnosing MetS without needing biochemical tests is so valuable. The present study aimed to predict MetS using non-invasive features based on a successful random forest learning algorithm. Also, to deal with the problem of data imbalance that naturally exists in this type of data, the effect of two different data balancing approaches, including the Synthetic Minority Over-sampling Technique (SMOTE) and Random Splitting data balancing (SplitBal), on model performance is investigated. RESULTS: The most important determinant for MetS prediction was waist circumference. Applying a random forest learning algorithm to imbalanced data, the trained models reach 86.9% and 79.4% accuracies and 37.1% and 38.2% sensitivities in men and women, respectively. However, by applying the SplitBal data balancing technique, the best results were obtained, and despite that the accuracy of the trained models decreased by 7.8% and 11.3%, but their sensitivity improved significantly to 82.3% and 73.7% in men and women, respectively. CONCLUSIONS: The random forest learning method, along with data balancing techniques, especially SplitBal, could create MetS prediction models with promising results that can be applied as a useful prognostic tool in health screening programs.

Selective Hydrolysis of Ovalbumin by Zr-Based Lacunary Polyoxotungstate in Surfactant Solutions.

This study aims to design an artificial metalloprotease based on a Zr-containing polyoxometalate Na8[Zr(W5O18)2] [Zr(W5)2] for the hydrolysis of ovalbumin (OVA) in the presence of different surfactants, which can be used in many areas of the biological and medical sciences, particularly for targeted proteolytic drug design. For this reason, parameters, including the free energy of binding, the chemical nature of amino acid residues, secondary structures, and electrostatic potentials, of Zr(W5)2-OVA and Zr(W5)2-OVA-surfactant were analyzed by molecular docking simulations. The investigations showed that the presence of surfactants decreases the binding affinity of Zr(W5)2 for OVA amino acids, and hydrogen bonds and van der Waals interactions are formed between Zr(W5)2 and OVA amino acids. Additionally, GROMACS further illustrated the significance of SDS and CTAB surfactants in influencing the conformational changes of the OVA that lead to selective protein hydrolysis. In agreement with molecular dynamics simulation results, the experimental analysis showed more protein hydrolysis for the Zr(W5)2-OVA-surfactant systems. For instance, circular dichroism spectroscopy indicated that Zr(W5)2-OVA-CTAB and Zr(W5)2-OVA-TX-100 were more hydrolytically efficient due to the increased level of ß-structures rather than α-chains, which showed that surfactants can facilitate the accessibility of Zr(W5)2 to the cleavage sites by inducing partial unfolding of the OVA structure.

Anticancer Drug Extraction from Plasma Samples Using Three-Dimensional Polyoxometalate-Based Supramolecular Frameworks as Sorbents.

Four self-assembled inorganic-organic hybrid materials, namely, H{Na(H2O)3[Gd(PDA)(H2O)2]3[BW12O40]}·4H2O (1), H{Na(H2O)3[Tb(PDA)(H2O)2]3[BW12O40]}·3H2O (2), H{Na(H2O)3[Er(PDA)(H2O)3]3[BW12O40]}·H2O (3) (PDA = 1,10-phenanthroline-2,9-dicarboxylate), and [Pr3(H2O)13(pydc-OH)2][BW12O40]·12H2O (4) (pydc-OH = 4-hydroxy-2,6-pyridinedicarboxylate), were hydrothermally synthesized and structurally characterized. Hybrids 1-3 are isostructural and contain a Keggin unit, which is linked to lanthanoids to produce distinct trinuclear lanthanoid building blocks. The fragments are connected by anion-π and hydrogen bonding interactions to create 3D networks. In hybrid 4, a trimeric Pr-organic species bearing a Keggin unit forms a 2D coordination polymer, and then hydrogen bonding interactions between 2D layers lead to the formation of a 3D structure. These polyoxometalate-based frameworks were used as sorbents for the dispersive microsolid-phase extraction (D-µSPE) of two anticancer drugs (doxorubicin and epirubicin) in human plasma samples. Analytes were quantified and separated using high-performance liquid chromatography with fluorescence detection (HPLC-FLD). The method's linearity was between 0.8-500 ng mL-1 and 1.0-500 ng mL-1 for the antineoplastic drugs doxorubicin and epirubicin, respectively. The limits of detection (S/N = 3) were in the range of 0.2-0.3 ng mL-1, while the precision was in the range of 3.5-4.3%. Finally, human plasma samples from patients treated with doxorubicin or epirubicin were analyzed by using the D-µSPE-HPLC-FLD method.

Higher global diet quality score is inversely associated with odds of metabolic syndrome among Iranian adults.

BACKGROUND: Growing research underscores the significance of diet quality in the development of Metabolic Syndrome (MetS). Our study investigates the correlation between the Global Diet Quality Score (GDQS) and MetS, along with its components, in Iranian adults. METHODS: This study utilizes data from the Yazd Health Study (YaHS) and includes a final analysis of 2,904 participants aged 20-70 years. Dietary data were gathered using food frequency questionnaires. MetS was defined in line with the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria. GDQS was derived by totaling the points across all 25 food groups, with scores ranging from 0 to 49. To examine the association between GDQS and MetS, multivariable logistic regression analyses were conducted in both crude and adjusted models. RESULTS: Participants who had the highest adherence to GDQS had a 20% lower chance of having MetS than those who had the lowest adherence after adjusting for confounding variables in Model II (T3 vs. T1: OR = 0.80; 95% CI: 0.46-0.99, P-trend = 0.045). There was no association between GDQS and MetS components including increased blood pressure, fasting blood glucose (FBG), triglyceride, abdominal obesity and reduced high-density lipoprotein (HDL) in crude and adjusted models. CONCLUSION: higher adherence to GDQS was inversely related to odds of MetS. Further longitudinal and clinical trials investigations are required to confirm these associations.

Association of dietary and lifestyle inflammatory indices with type 2 diabetes risk in Iranian adults.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is often linked to chronic inflammation, which can be influenced by both lifestyle and dietary choices. However, the relationship between the inflammatory potential of diet and lifestyle factors and the risk of developing T2DM remains unclear. The present study aimed to investigate the associations of the empirical dietary inflammatory index (EDII), dietary inflammatory score (DIS), and lifestyle inflammatory score (LIS) with the risk of T2DM among Iranian adults. METHODS: The current study was conducted on 5714 individuals from Yazd Health Study (YaHS) who were followed up for a mean period of six years. YaHS is a prospective cohort study which has been conducted since 2014. Dietary intakes were collected at baseline using the food frequency questionnaire. The relative risk (RR) of T2DM was calculated by Cox regression analysis across tertiles of EDII, DIS, and LIS, adjusted for potential confounders. RESULTS: The mean ± SD for the age and body mass index of the study population were 47.0 ± 9.2 years and 26.7 ± 5.1 Kg.m2, respectively. A significant association between LIS and the risk of T2DM was observed (RR: 4.05, 95% CI: 2.61-6.27 P-trend < 0.001). Individuals in the highest compared to the lowest tertile of EDII-LIS (RR: 3.07, 95%CI: 2.01-4.68; P for trend < 0.001) and DIS-LIS (RR: 2.42, 95%CI: 1.69-3.49; P for trend < 0.001) had a higher risk of T2DM. However, no significant association was found between EDII and DIS scores and the risk of T2DM. CONCLUSION: Greater adherence to LIS, EDII-LIS, and DIS-LIS scores was associated with a higher risk of T2DM, while no significant association was found between EDII and DIS with T2DM risk.

The association between plant and animal protein intake with depression, anxiety, and stress.

BACKGROUND: Recent evidence suggests that diet composition is a key biological factor related to the development of depressive disorders. The present study was conducted to investigate the animal and plant protein intake and their replacement in association with depression, anxiety, and stress in Iranian adults. METHOD: In this cross-sectional study, the dietary intake of 7169 subjects were assessed using a validated food frequency questionnaire. The depression, anxiety, and stress Scale - 21 (DASS-21) questionnaire was used to psychological disorders. Logistic regression was used to obtain odds ratios for depression, anxiety, and stress across quintiles of animal and plant protein. RESULTS: The participants' age range was 20-69 years. Individuals with the highest animal protein consumption had a lower chance for developing depression compared to those with the lowest intakes (OR = 0.73, 95%CI: 0.59-0.90; Ptrend < 0.01). Results also showed a significant association between animal protein intake and anxiety, such that subjects in the highest quintile of animal protein intake had 24% lower odds for anxiety compared to those in the lowest quintile (p < 0.05). We found a significant association between highest quintiles of animal protein intake and a 40% lower risk for stress among female individuals (Ptrend = 0.05). The multivariable-adjusted non-linear analyses also revealed that the replacement of plant protein with animal protein was significantly associated with the likelihood of depression and anxiety (P < 0.05). CONCLUSION: Animal protein intake might lower the odds of depression and anxiety particularly. Future prospective investigations are proposed to confirm these findings.

The association between paleolithic diet pattern scores and psychological disorders in Iranian adults.

BACKGROUND: There is evidence indicating that the transition from traditional Paleolithic lifestyle to contemporary lifestyle plays a significant impact in the occurrence and widespread of psychological problems. This study aimed to examine the associations between the Paleolithic diet (PD) and the Paleolithic-like lifestyle and the likelihood of psychological issues in adults. MATERIALS AND METHODS: A cross-sectional study was conducted on 7165 participants who were enrolled in the Yazd Health Study (YaHS) and Yazd Nutrition Study (TAMYZ). To evaluate the participants' food intake, a reliable 178-item semi-quantitative food frequency questionnaire (FFQ) was utilized. The PD score was computed using the food intakes of subjects received from FFQ. The study utilized the authorized Iranian version of the Depression, Anxiety, and Stress Scale (DASS 21) to evaluate psychological illnesses and stress levels. RESULTS: The mean ± SD of PD and Paleolithic-like lifestyle scores were 38.93 ± 5.27 and 48.48 ± 5.61, respectively. Based on the findings of the present study, after adjusting for potential confounders, it seems that increasing adherence to PD alone or in combination with lifestyle factors significantly reduces the risk of anxiety (OR = 0.68, 95% CI 0.49-0.96; P-trend = 0.044 and OR = 0.68, 95% CI 0.48-0.96; P-trend = 0.047, respectively). However, significant effects on the risk of depression and stress were not observed. CONCLUSIONS: Our research indicates that adhering to a Paleolithic diet, either alone or in conjunction with lifestyle factors, significantly reduces the risk of anxiety in the general population.

The association between dietary anti-oxidant quality score and psychological disorders among Iranian adults: a population-based study.

OBJECTIVE: Evidence linking relation between dietary antioxidant quality score (DAQS) and psychological disorders is limited. Therefore, this study aimed to assess relationship between DAQSs and psychological disorders including depression, anxiety and stress among Iranian adults. METHODS: This cross-sectional study used data on 7165 participants of the recruitment phase of Yazd Health Study (YaHS) and Taghzieh Mardom-e-Yazd Study (TAMYZ). Dietary intakes and psychological problems were evaluated using a validated semi-quantitative food frequency questionnaire and the validated Iranian version of depression, anxiety and stress scale questionnaire. DAQS was calculated for each person by summing up the assigned scores to a ratio between daily consuming each of the nutrients including vitamin A, C, E, selenium, manganese, zinc and their daily recommended intake (Score of 0 for a ratio of <2/3 and 1 for a ratio of >2/3). Eventually, association between DAQS and psychological disorders was assessed via logistic regression analysis. RESULTS: Although no significant relationship was observed between DAQS and psychological disorders in general population, a protective role was found for DAQS against anxiety only in women after adjusting history of chronic disease; age; marital status; education level; smoking status; total energy intake and physical activity level (second tertile versus first tertile: OR: 0.63, 95% CI: 0.40-0.99). However, this finding was nonsignificant after further adjustment for body mass index. CONCLUSION: Average levels of DAQS might be related to psychological distress especially among women. However, more studies are recommended to valid the findings.

Metabolic syndrome prediction using non-invasive and dietary parameters based on a support vector machine.

BACKGROUND AND AIMS: Metabolic syndrome (MetS) is a widely used index for finding people at risk for chronic diseases, including cardiovascular disease and diabetes. Early detection of MetS is especially important in prevention programs. Relying on previous studies that suggest machine learning methods as a valuable approach for diagnosing MetS, this study aimed to develop MetS prediction models based on support vector machine (SVM) algorithms, applying non-invasive and low-cost (NI&LC), and also dietary parameters. METHODS AND RESULTS: This population-based research was conducted on a large dataset of 4596 participants within the framework of the Shahedieh cohort study. An Extremely Randomized Trees Classifier was used to select the most effective features among NI&LC and dietary data. The prediction models were developed based on SVM algorithms, and their performance was assessed by accuracy, sensitivity, specificity, positive prediction value, negative prediction value, f1-score, and receiver operating characteristic curve. MetS was diagnosed in 14% of men and 22% of women. Among NI&LC features, waist circumference, body mass index, waist-to-height ratio, waist-to-hip ratio, systolic blood pressure, and diastolic blood pressure were the most predictive variables. By using NI&LC features, models with 78.4% and 63.5% accuracy and 81.2% and 75.3% sensitivity were yielded for men and women, respectively. By incorporating NI&LC and dietary features, the accuracy of the model in women improved by 3.7%. CONCLUSIONS: SVM algorithms had promising potential for early detection of MetS relying on NI&LC parameters. These models can be used in prevention programs, clinical practice, and personal applications.

The association between B vitamins and the risk of COVID-19.

The fast spread of the coronavirus disease 2019 (COVID-19) epidemic and its high mortality were quickly noticed by the health community. B vitamins are essential micronutrients for the body with antioxidant, anti-inflammatory and immune-regulating properties. The present study can provide a comprehensive picture of the associations between B vitamins and COVID-19 incidence. This study was undertaken on 9189 adult participants of the Yazd Health Study (YaHS) and Taghzieh Mardom-e-Yazd (TAMIZ) study aged 20 to 69 years. Data on dietary intakes were obtained using a validated FFQ. Multivariable logistic regression analysis was used to evaluate the association between B vitamins and COVID-19. Our findings indicated that participants in the fourth quartile of vitamin B5 intake compared with the first quartile had a protective effect against COVID-19 (OR: 0·53, 95 % CI 0·28, 0·99, P-trend = 0·02) after adjustment for all possible confounds in model 3. In addition, participants in the third quartile of vitamin B12 intake compared with the first quartile (OR: 0·63, 95 % CI 0·40, 0·98, P-trend = 0·11) had fewer odds of COVID-19 after full adjustments for confounders. Our findings indicated no significant relationship between dietary intake of vitamin B1, B2, B3, B9 and B-complex and COVID-19. A higher intake of vitamin B5 could reduce the odds of COVID-19 by 47 %, and a moderate intake of vitamin B12 had a protective effect on COVID-19. Although our study has promising results, stronger clinical studies are needed.

The cluster of differentiation 36 (CD36) rs1761667 polymorphism interacts with dietary patterns to affect cardiometabolic risk factors and metabolic syndrome risk in apparently healthy individuals.

Several studies have examined the association between CD36 rs1761667 polymorphism with cardiometabolic risk factors and metabolic syndrome (MetS). This study aimed to investigate the interactions between rs1761667 polymorphism and dietary patterns on the cardiometabolic risk factors and the risk of MetS in apparently healthy individuals aged 20-70 years. Food consumption data were acquired using a validated semi-quantitative FFQ. Dietary patterns were identified by factor analysis. CD36 rs1761667 was genotyped by PCR-restriction fragment length polymorphism. The gene-diet interaction was detected by the general linear model or logistic regression. Significant or marginally significant interactions were observed between healthy dietary pattern (HDP) and CD36 rs1761667 on weight (P = 0·006), BMI (P = 0·009), waist circumference (P = 0·005), hip circumference (P = 0·06), body muscle percentage (P = 0·02), body fat percentage (P = 0·09), TAG-glucose index (P = 0·057), atherogenic index of plasma (P = 0·07), the risk of MetS (P = 0·02), risk of abdominal obesity (P = 0·02) and elevated blood pressure (P = 0·07). Besides, a gene-diet interaction was detected between the traditional dietary pattern and rs1761667 variants on odds of hypertriglyceridaemia (P = 0·02). The adherence to HDP was associated with a lower weight, BMI and higher odds of HDL-cholesterol only in A-allele carriers. In conclusion, adherence to HDP (a diet with high fibre, fish and dairy products) can be more effective on some cardiometabolic risk factors and risk of MetS components in the A-allele carrier than the GG genotype of rs1761667 polymorphism. However, future studies are required to shed light on this issue.

Opioid Drug Detection in Hair Samples Using Polyoxometalate-Based Frameworks.

A series of two-dimensional (2D) polyoxometalate-based frameworks, [Ln3(PDA)3(H2O)6(PMo12O40)]·xH2O (Ln = La (1); Ce (2); Pr (3); Nd (4); PDA = 1,10-phenanthroline-2,9-dicarboxylate), have been synthesized and structurally characterized by various analytical techniques. Single-crystal X-ray diffraction reveals that 1-4 have a unique 2D layer structure in which Keggin anions have coordinated upward and downward the plane, and this feature makes them suitable candidates for surface binding of common drugs via supramolecular and electrostatic interactions. Also, the ability of 1-4 (as the first polyoxomolybdate-containing frameworks) as sorbents for the extraction and quantitative determination of opioid drugs (morphine, methadone, and pethidine) was investigated by using dispersive micro-solid-phase extraction (D-µSPE) and high-performance liquid chromatography (HPLC). The method showed wide linear ranges in the range of 0.3 to 300 ng mg-1 and low limits of detection (LODs) ranged from 0.1 to 0.2 ng mg-1 of hair.

Impact of flexibility on the aggregation of polymeric macromolecules.

Dependence of the dimerization probability and the aggregation behavior of polymeric macromolecules on their flexibility is studied using Langevin dynamics simulations. It is found that the dimerization probability is a non-monotonic function of the polymers persistence length. For a given value of inter-polymer attraction strength, semiflexible polymers have lower dimerization probability relative to flexible and rigid polymers of the same length. The threshold temperature of the formation of aggregates in a many-polymer system and its dependence on the polymers persistence length is also investigated. The simulation results of two- and many-polymer systems are in good agreement and show how the amount of flexibility affects the dimerization and the aggregation behaviors of polymeric macromolecules.

Insulinaemic potential of diet and lifestyle and risk of type 2 diabetes in the Iranian adults: result from Yazd health study.

BACKGROUND: Previous studies have shown that insulin directly affects the risk of type 2 diabetes mellitus (T2DM) but the relationship between insulinaemic potential of diet and lifestyle and the T2DM risk is still unknown. Accordingly, we aimed to investigate the relationship between the insulinaemic potential of diet and lifestyle based on indices including empirical dietary index for hyperinsulinaemia (EDIH), empirical lifestyle index for hyperinsulinaemia (ELIH), empirical dietary index for insulin resistance (EDIR) and empirical lifestyle index for insulin resistance (ELIR) and the T2DM risk in the Iranian adults. METHODS: This study was performed on data of enrollment phase of the Yazd Health Study (YaHS) and TAghzieh Mardom-e-Yazd (Yazd Nutrition Study) (TaMYZ) on 5714 adults aged 20-70 years (mean: 36.29 years). A validated food frequency questionnaire and clinical tests were used to assess food intake and T2DM ascertainment, respectively. We used the Cox regression analysis for determining the relationship between the indices and T2DM risk. RESULTS: After adjusting for confounding variables, our findings showed that diet with higher ELIH score is 2.28 times more likely for T2DM risk (RR 2.28 [95% CI 1.69-2.56]), but there was no significant relationship between the EDIH, ELIR and EDIR scores and T2DM risk in adults, in the entire study population. CONCLUSIONS: Our findings suggest that diets with higher ELIH score increases the T2DM risk, but there was no significant relationship between the EDIH, ELIR and EDIR scores and T2DM risk. Further epidemiological studies are needed to confirm our findings.

Sex differences in cardiac rehabilitation barriers among non-enrollees in the context of lower gender equality: a cross-sectional study.

BACKGROUND: Despite the benefits of cardiac rehabilitation (CR), it remains under-utilized, particularly by women. This study compared CR barriers between non-enrolling men and women in Iran, which has among the lowest gender equality globally. METHODS: In this cross-sectional study, CR barriers were assessed via phone interview in phase II non-attenders from March 2017 to February 2018 with the Persian version of the Cardiac Rehabilitation Barriers Scale (CRBS-P). T-tests were used to compare scores, with each of 18 barriers scored out of 5, between men and women. RESULTS: 357 (33.9%) of the sample of 1053 were women, and they were older, less educated and less often employed than men. Total mean CRBS scores were significantly greater in women (2.37 ± 0.37) than men (2.29 ± 0.35; effect size[ES] = 0.08, confidence interval[CI]: 0.03-0.13; p < 0.001). The top CR barriers among women were cost (3.35; ES = 0.40, CI:0.23-0.56; P < 0.001), transportation problems (3.24; ES = 0.41, CI:0.25-0.58; P < 0.001), distance (3.21; ES = 0.31, CI:0.15-0.48; P < 0.001), comorbidities (2.97; ES = 0.49, CI:0.34-0.64; P < 0.001), low energy (2.41; ES = 0.29, CI:0.18-0.41; P < 0.001), finding exercise as tiring or painful (2.22; ES = 0.11, CI:0.02-0.21; P = 0.018), and older age (2.27; ES = 0.18, CI:0.07-0.28; P = 0.001). Men rated "already exercise at home or in community" (2.69; ES = 0.23, CI:0.1-0.36; P = 0.001), time constraints (2.18; ES = 0.15, CI:0.07-0.23; P < 0.001) and work responsibilities (2.24; ES = 0.16, CI:0.07-0.25; P = 0.001) as greater CR barriers than women. CONCLUSION: Women had greater barriers to CR participation than men. CR programs should be modified to address women's needs. Home-based CR tailored to women's exercise needs and preferences should be considered.

The relationship between dietary lipophilic index and load with depression, anxiety, and stress symptoms.

BACKGROUND: Dietary fatty acids can affect brain health by modifying neuronal membrane fluidity. Dietary lipophilic index (LI) and load (LL) may be related to cell membrane fluidity. This study aimed to determine the relationship between dietary LI and LL with symptoms of depression, anxiety and stress. METHODS: In this cross-sectional study, taken from the YaHS (Yazd Health Study) population-based cohort, the data of 2,982 individuals was extracted. Several questionnaires- a 178-item Food Frequency Questionnaire (FFQ), Depression, Anxiety and Stress Scale 21 (DASS 21), and International Physical Activity Questionnaire (IPAQ)- were used to obtain information on dietary intake, mental status, and physical activity, respectively. LI and LL were calculated using dietary intake and the melting point of each fatty acid. RESULTS: The analysis was performed on 2982 individuals. The odds ratio of depression in the second tertile of dietary LI compared to the first tertile was 0.815 (95% CI 0.66-1.00, P = 0.051, Ptrend = 0.017) and after adjusting confounders was 0.793 (95% CI 0.63-0.99, P = 0.043, Ptrend = 0.011). Also, LL was related inversely with anxiety (0.771, 95% CI 0.63-0.93, P = 0.003) that after multiple regression, OR of anxiety was 0.762 (95% CI 0.53-1.07, P = 0.045). The odds of stress in the third tertile of LL was 1.064 but not statistically significant (95% CI 0.88-1.28, P = 0.729). CONCLUSION: This study showed an inverse association between dietary LI and depression symptoms. Anxiety and stress did not show a significant relationship with LI or LL.

Higher dietary glycemic load is inversely associated with stress prevalence among Iranian adults.

BACKGROUND: Psychological disorders including depression, anxiety, and stress comprise a huge public health problem. The aim of this cross-sectional study is to assess the relationship between dietary glycemic index (DGI) and glycemic load (DGL) and mental disorders. METHOD: Participants (n = 10,000) aged 20-69 were randomly selected from 200 clusters in Yazd from the recruitment phase of Yazd Health Study. The dietary intake of study participants was collected by a reliable and validated food frequency questionnaire consisting of 178 food items. DGI and DGL were calculated from the FFQ data using previously published reference values. To assess psychological disorders an Iranian validated short version of a self-reported questionnaire Depression Anxiety Stress Scales 21 was used. RESULTS: There were no significant associations between DGI and DGL with odds of depression or anxiety in crude and adjusted models. However, individuals in the highest quartiles of DGL had the lowest odds of stress (OR: 0.69; 95% CI 0.47-1, P-trend = 0.023). This association remained significant after adjustment for potential confounding variables in model I (OR: 0.45; 95% CI 0.22-0.9, P-trend = 0.023), model II (OR: 0.46; 95% CI 0.22-0.96, P-trend = 0.039) and model III (OR: 0.46; 95% CI 0.22-0.96, P-trend = 0.042). CONCLUSION: In conclusion, consumption of foods with higher GL was associated with lower odds of stress; however, no significant association was found between DGI or DGL and risk of depression and anxiety. Performing further studies with longitudinal design is suggested to confirm these results.

Property evaluation of two anticancer candidate platinum complexes with N-isobutyl glycine ligand against human colon cancer.

Small molecules have potential usage in cancer therapy due to their remarkable potency of disarranging the natural structure of nucleic acids. In this study, two complexes [Pt(NH3)2(IBgly)]NO3 (1) and [Pt(bipy)(IBgly)]NO3 (2) based on Pt(II), N-isobutylglycine (IBgly), 2,2'-bipyridine, and ammonia were prepared and characterized by spectroscopic methods. Pharmacokinetic ADME data, absorption, distribution, metabolism, excretion, and bioavailability radar showed two complexes can be introduced for Pt-based anti-cancer drugs. Mechanism of tumor inhibition and DNA interaction of these compounds was studied by UV-Vis, fluorescence, and CD spectroscopies. Also, thermodynamic parameters and the binding constants were calculated through absorption measurements. The fluorescence data showed that a static quenching mechanism occurred for both complexes with a binding constant and binding affinity towards DNA (Kb ≈ 3500 M-1 and kq ≈ 2.1 × 1011 M-1 s-1). The thermodynamic parameters indicated electrostatic approaching and groove binding were more feasible than intercalation mode between Pt(II) complexes and DNA. CD spectra indicated the increasing intensity of the positive band and the negative band decreasing. Density functional theory calculations confirmed the experimental data and determined the quantum chemical descriptors including total energy, hardness, chemical potential, electrophilicity, electronegativity, etc. According to this, the binding tendency of these compounds with DNA could be predicted. Further, molecular docking studies were also performed. Docking studies revealed that the desolvation, hydrogen, and electrostatic binding were effective for the interaction between complexes and DNA with binding energy (- 10.44 and - 9.57 kcal/mol) for complexes 1 and 2, respectively, which is mainly of partially electrostatic and groove binding type. The cytotoxic activity of Pt complexes was examined against human colon cancer cell line which indicated good activity with IC50 values of (41.66 and 47.30 µM) for both complexes after 72 h, respectively. Also, they demonstrated more inhibitory effects compared to carboplatin.

Performance of body mass index and body fat percentage in predicting metabolic syndrome risk factors in diabetic patients of Yazd, Iran.

BACKGROUND: Body Fat percentage (BFP) and body mass index (BMI) are used to measure obesity-related metabolic syndrome risk. The present study aimed to determine the values of percent body Fat and body mass index for predicting metabolic syndrome risk factors in diabetic patients of Yazd, Iran. METHODS: A total of 1022 (499 males and 523 females) diabetic patients participated in this study. According to Asian BMI criteria, Overweight was diagnosed if a participant had a BMI ≥25 kg/m2 (both male and female) or BFP ≥25% for male and ≥ 32% for female. Based on calculated BMI and BFP and after adjusting for age, height, weight and smoking habits, the participants were classified into group A (normal weight and Non-Fat), group B (overweight and Non-Fat), group C (normal weight and Fat), and group D (overweight and Fat). RESULTS: According to the results, the BMI of 23.4% were normal and BMI of 76.6% were overweight, respectively. Moreover, the BFP of 25.7 and 74.3% of the studied population were considered as Non-Fat and Fat, respectively. A strong relationship was found with respect to sex stratification; R2 = 0.79. For men, BMI can be a better predictor of hypertension and hypertriglyceridemia than BFP. For women, BMI was a better predictor of hyperglycemia than BFP. Moreover, BFP can be regarded as a better predictor of hyperglycemia in male group, while it was a good predictor of hypertension and hypertriglyceridemia and hypo HDL than BMI, in female group. CONCLUSION: Significant differences were observed between BMI and BFP to predict metabolic syndrome risk factors in diabetic patients across different sexes in our study population. In conclusion, both BMI and BFP should be considered in screening steps.

The association between dairy products and psychological disorders in a large sample of Iranian adults.

BACKGROUND: Dairy products contain certain nutrients that are useful in mental disorders. This study aimed to assess the associations between dairy products and psychological disorders in a large sample of Iran, a Middle Eastern country. METHODS: This cross-sectional study was undertaken on 7387 adults. Data on dietary intakes were obtained using a validated Food Frequency Questionnaire. Psychological health was assessed by the Iranian validated version of depression, anxiety, and stress scale 21. Multivariable logistic regression analysis was performed to analyze the association between dairy intake and psychological disorders. RESULTS: After adjustment for potential confounders, total milk consumption (OR for the highest vs. lowest tertile: 0.73, 0.58-0.92) and total yogurt consumption (0.78, 0.62-0.97) were associated with decreased odds of depression. An inverse relationship was found between total dairy (0.73, 95% CI 0.590.91), total milk (0.72; 0.58-0.88), kashk (0.79, 0.65-0.96), and yogurt drink (0.80, 95% CI 0.65-0.98) consumption and anxiety symptoms. Higher intake of cheese was related to greater odds of stress (1.52, 1.02-2.26). No association was found between the consumption of high-fat dairy, low-fat dairy, low-fat milk, low-fat yogurt, high-fat yogurt, cheese, kashk, yogurt drink, and depression. Also, there is no association between dairy products and stress symptoms. This association was significant among men and women and high-fat and low-fat products in the total adjusted stratified analysis models. CONCLUSIONS: Findings of this study revealed that both high-fat and low-fat dairy products are associated with a reduced prevalence of psychological disorders. Still, more prospective studies are required to confirm these associations.