Joint association of meal frequency and diet quality with metabolic syndrome in Iranian adults.

BACKGROUND: Metabolic syndrome (MetS) is a common complication that has been shown in various studies to be related to the frequency and timing of eating. We aimed to evaluate the relationship between meal timing and frequency with diet quality and prevalence of MetS. STUDY DESIGN: Cross-sectional. METHODS: We analyzed data from 850 adults (20 to 59 years) and divided the participants into different categories in terms of frequency of eating occasions (EO) (5 ≥ , 6-7 and 7 <), meal (2 ≥ and 3) and snack (2 ≥ , 3 and 4 ≤) in a day. Daily food consumption was assessed using the structured three 24-h recalls. The quality of diet we calculated using the food quality score (FQS). Metabolic syndrome was defined based on the guidelines of the national cholesterol education program adult treatment panel III (ATP III). The covariates-adjusted relationships between exposures and outcomes were investigated using a logistic regression test and two-way ANOVA. RESULTS: The overall prevalence of MetS in participants was 34.2%. The average FQS was 28.0. Increased frequency of EOs and snacks was related to the higher prevalence of MetS ((OR, 1.72; 95% CI, 1.24, 2.37; P < 0.01) and (OR, 1.34; 95% CI, 1.07, 1.68; P, 0.01), respectively). The adjusted mean of FQS was not significantly different between the EO as well as meals and snack categories. The joint association of EO frequency and snack frequency with diet quality showed a higher chance of having MetS ( (OR, 2.36; 95% CI, 1.19, 4.66; P, 0.01 and (OR, 1.68; 95% CI, 1.06, 2.68; P,0.02), respectively). Also, we observed a higher mean of high density level cholesterol in people with the highest FQS and lowest EO frequency (P,0.02). CONCLUSION: Our findings suggest that the EO and snack frequency may be associated with the higher chance of MetS. We also found when the frequency of EO increases, the beneficial associations of the diet quality were overshadowed. To confirm our findings, well designed randomised clinical trials are needed.

A turn off-on fluorometric and paper-based colorimetric dual-mode sensor for isoniazid detection.

In the present study, cobalt oxyhydroxide (CoOOH) nanosheets were applied for establishing a dual fluorometric and smartphone-paper-based colorimetric method to detect isoniazid. CoOOH nanosheets quenched the fluorescence emission of sulfur and nitrogen co-doped carbon dots (S,N-CDs) due to inner filter effect (IFE). The quenched fluorescence intensity of S,N-CDs restored in the presence of isoniazid due to destroying CoOOH nanosheets by this drug. Moreover, with adding isoniazid the solution color of CoOOH nanosheets altered from brownish yellow to pale yellow. We exploited these facts to design a turn off-on fluorometric and paper-based colorimetric sensor for isoniazid measurement at the range 0.5-5 and 5-100 µM with detection limits of 0.28 µM and 4.0 µM, respectively. The introduced dual sensor was used for pharmaceutical, environmental and biological analysis of isoniazid with satisfactory results. The paper-based colorimetric sensor can be applied for isoniazid portable monitoring using a smartphone as a detector or even the naked eye.

IoT-Blockchain: Harnessing the Power of Internet of Thing and Blockchain for Smart Supply Chain.

This study aims to build smart supply chains for the first time using the internet of things (IoT) and blockchain. Classification and clarification of causal relationships can provide a useful framework for researchers and professionals who seek to implement an intelligent supply chain using IoT tools in a blockchain platform, and it also demonstrates the intensity of communications indicating such relationships. The research methodology is mixed method, comprised of qualitative and quantitative methods. The qualitative method includes the Delphi method used for selecting indigenous components and features proper for the pattern. The quantitative method is the Dematel method used for assessing the relationships between the available concepts in the pattern and accessing the network structure between components. Interpretative Structural Modeling is also employed to classify the network structure obtained from the Dematel technique. The findings of the study identify indicators of IoT and blockchain as causes based on Dematel, application of tools, components interconnectedness, optimal decision making, automatedness, integration, innovation and learning, which are indicators of smart supply chain, are the effects in this study.

The Effects of Nigella sativa Supplementation on Liver Enzymes Levels: a Systematic Review and Meta-analysis of Randomized Controlled Trials.

The present systematic review and meta-analysis aimed to investigate the effects of Nigella sativa (N. sativa) supplementation on liver enzymes levels including aspartate aminotransferase (AST) and alanine aminotransferase (ALT). Relevant studies, published from inception up to January 2020, were searched through PubMed, Scopus and Google Scholar conducted on randomized controlled trials (RCTs) investigating the effect of N. sativa on serum AST and ALT levels. Meta-analysis was applied using a random-effects model. Eight studies met inclusion criteria (n=281 in the N. sativa and n = 279 in placebo group). This meta-analysis showed that N. sativa supplementation significantly reduced AST level (weighted mean difference [WMD], -8.11 IU/L; 95% confidence interval [CI], -13.6, -2.53; p = 0.004) with significant heterogeneity (I-squared, 95.9%; p < 0.001) while the decrease in ALT level was not statistically significant (WMD, -7.26 IU/L; 95% CI, -15.4, 0.04; p = 0.051) with significant heterogeneity (I-squared, 97.8%; p < 0.001). This meta-analysis suggests that N. sativa supplementation may improve AST levels and ALT levels, however more RCTs with larger sample size are needed to found effects of N. sativa on liver enzymes in patients with non-alcoholic fatty liver disease.

The effects of capsinoids and fermented red pepper paste supplementation on blood pressure: A systematic review and meta-analysis of randomized controlled trials.

BACKGROUND & AIMS: The present systematic review and meta-analysis were conducted to investigate the effects of capsinoids and fermented red pepper paste (FRPP) supplementation on Systolic Blood Pressure (SBP) and Diastolic Blood Pressure (DBP). METHODS: Relevant studies, published up to May 2020, were searched through PubMed/Medline, Scopus, ISI Web of Science, Embase, and Google Scholar. All randomized clinical trials investigating the effect of capsinoids and FRPP supplementation on blood pressure including SBP and DBP were included. RESULTS: Out of 335 citations, 7 trials that enrolled 363 subjects were included. Capsinoids and FRPP resulted in significant reduction in DBP (Weighted mean differences (WMD): -1.90 mmHg; 95% CI, -3.72 to -0.09, P = 0.04) but no significant change in SBP (WMD: 0.55 mmHg, 95% CI: -1.45, 2.55, P = 0.588). FRPP had a significant reduction in SBP. Greater effects on SBP were detected in trials, lasted ≥12 weeks, and sample size >50. Capsinoids with dosage ≤200 and FRPP with dosage of 11.9 g significantly decreased DBP. CONCLUSION: Overall, these data suggest that supplementation with FRPP may play a role in improving SBP and DBP but for capsinoids no effects detected in this analysis on SBP and DBP.

A novel chemiluminescence sensor for the determination of indomethacin based on sulfur and nitrogen co-doped carbon quantum dot-KMnO4 reaction.

We report on a simple and sensitive sulfur and nitrogen co-doped carbon quantum dot (S,N-CQD)-based chemiluminescence (CL) sensor for the determination of indomethacin. S,N-CQDs were prepared by a hydrothermal method and characterized by fluorescence spectra, Fourier transform infrared spectroscopy and transmission electron microscopy. To obtain the best CL system for determination of indomethacin, the reaction of S,N-CQDs with some common oxidants was studied. Among the tested systems, the S,N-CQD-KMnO4 reaction showed the highest sensitivity for the detection of indomethacin. Under optimum conditions, the calibration plot was linear over a concentration range of 0.1-1.5 mg L-1 , with a limit of detection (3σ) of 65 µg L-1 . The method was applied to the determination of indomethacin in environmental and biological samples with satisfactory results.