Dietary Intake in Relation to the Risk of Reflux Disease: A Systematic Review

Neda Heidarzadeh-Esfahani,Davood Soleimani,Salimeh Hajiahmadi,Shima Moradi,Nafiseh Heidarzadeh,Seyyed Mostafa Nachvak 한국식품영양과학회 2021 Preventive Nutrition and Food Science Vol.26 No.4

Gastroesophageal reflux disease (GERD) is a chronic condition which has a high global prevalence. Dietary intake is considered to be a contributing factor for GERD. However, scientific evidence about the effect of iet on the risk of GERD is controversial. This systematic review was conducted to address this issue. A comprehensive structured search was performed using the MEDLINE, Scopus, and Web of Science databases up to August 2020, in accordance with the PRISMA statement. No restrictions were set in terms of language, time of publication, or study location. Study selection and data abstraction was conducted independently by two authors, and risk of bias was assessed using a modified Quality in Prognosis Studies Tool. Eligible studies evaluating the impact of food and dietary pattern on GERD were included in qualitative data synthesis. After excluding duplicate, irrelevant, and low quality studies, 25 studies were identified for inclusion: 5 case-control studies, 14 cross-sectional studies, and 6 prospective studies. This review indicates that high-fat diets, carbonated beverages, citrus products, and spicy, salty, and fried foods are associated with risk of GERD.

Effects of a Psychobiotic Supplement on Serum Brain-derived Neurotrophic Factor Levels in Depressive Patients: A Post Hoc Analysis of a Randomized Clinical Trial

( Nazanin Heidarzadeh-rad ),( Hülya Gökmen-özel ),( Asma Kazemi ),( Negin Almasi ),( Kurosh Djafarian ) 대한소화기기능성질환·운동학회(구 대한소화관운동학회) 2020 Journal of Neurogastroenterology and Motility (JNM Vol.26 No.4

Background/Aims Psychobiotics are probiotics or prebiotics that, upon ingestion in adequate amounts, yield positive influence on mental health via microbiota-gut-brain axis regulation to modulate the circulating cytokines, chemokines, neurotransmitters, or neurotrophins levels. We have recently shown that a psychobiotic combination (Lactobacillus helveticus R0052 and Bifidobacterium longum R0175; CEREBIOME) significantly improved depression symptoms in patients with depression. Recent animal data suggest the influence of the gut microbiota on brain-derived neurotrophic factor (BDNF), which was shown to correlate with antidepressant response in depressive patients. Therefore, we conducted this exploratory post hoc analysis of BDNF levels to clarify the mechanism of action of this psychobiotic in our cohort. Methods Our study was a double-blind, randomized controlled trial of patients with low-to-moderate depression receiving either a probiotic combination, prebiotic or placebo. From the 110 patients randomized in the trial, 78 were included in this post hoc analysis (probiotic, n = 28; prebiotic and placebo, n = 25). We compared serum BDNF levels from participants at baseline and endpoint, and assessed the Pearson correlation between depression severity and BDNF levels for each intervention. Results We found that post-intervention BDNF levels were significantly different between groups (P < 0.001). Furthermore, BDNF levels increased significantly in the probiotic group compared to both the prebiotic (P < 0.001) and placebo groups (P = 0.021), which inversely correlated with depression severity compared to placebo (ANOVA/ANCOVA, P = 0.012; Pearson, r = -0.79, P < 0.001). In the prebiotic group, BDNF levels reduced but not significantly compared with placebo group (P > 0.05). Conclusion Eight-week supplementation with B. longum and L. helveticus in depressive patients improved depression symptoms, possibly by increasing BDNF levels. (J Neurogastroenterol Motil 2020;26:486-495)

Evaluating the Factor Structure of the Persian Version of Posttraumatic Growth Inventory in Cancer Patients

Mehdi Heidarzadeh,Parisa Naseri,Mahmood Shamshiri,Behrouz Dadkhah,Maryam Rassouli,Mehri Gholchin 한국간호과학회 2017 Asian Nursing Research Vol.11 No.3

Purpose: This study aimed to assess the factor structure of the Persian version of posttraumatic growth inventory (P-PTGI). Methods: Participants included 272 Iranian people of Azari ethnicity (111 women and 161 men), aged between 21 and 91 years (mean 52.65 years), who were diagnosed with cancer and were referred to the oncology department of the university hospital. The P-PTGI was assessed to determine the construct validity, using various indices of confirmatory factor analysis and standardized lambda coefficient, followed by further assessment of the discriminant and convergent validities by using the structural equation model. LISREL 8.8 for Windows and SPSS were used for data analysis. Results: The calculated values of comparative fit index, incremental fit index, normed fit index, and nonnormed fit index > .90 and the values of standardized root-mean-square residual < .08 indicate an acceptable fit for the original PTGI. Considering that the values of average variance extracted (.52-.74) were greater than the square of correlation coefficients between the five dimensions of P-PTGI, discriminant validity was approved. Convergent validity was confirmed through a high value of standardized lambda coefficient (.52-.92) between the items and their related factors. Conclusions: This study revealed that P-PTGI has an acceptable validity and reliability for posttraumatic growth assessment in Iranian cancer patients and its factor structure is similar to that of the original form developed by Tedeschi and Calhoun.

Improvement of Biodegradability and Biocompatibility of Electrospun Scaffolds of Poly(butylene terephthalate) by Incorporation of Sebacate Units

Nina Heidarzadeh,Luis J. del Valle,Lourdes Franco,Jordi Puiggalí 한국고분자학회 2020 Macromolecular Research Vol.28 No.1

Incorporation of aliphatic units to poly(butylene terephthalate) (PBT) gives rise to biodegradable copolymers with tunable properties (e.g., degradability), depending on the selected comonomer and the specific composition. Specifically, a low molecular weight poly(butylene sebacate-co-terephthalate) (PBSeT) with a high ratio of aliphatic sebacate units (i.e., 70 mol-% with respect to the total dicarboxylate content) has been employed in this work to get new electrospun biodegradable scaffolds. Appropriate electrospinning conditions have been found despite the limited copolymer molecular weight. In addition, PBSeT has been employed to improve biocompatibility and biodegradability of scaffolds based on the PBT homopolymer. Scaffolds with different properties have been prepared following two strategies: Electrospinning of single solutions of PBT and PBSeT mixtures and co-electrospinning of independent PBT and PBSeT solutions. Characterization involved spectroscopic (FTIR, NMR), calorimetric (DSC, TGA) and surface hydrophobicity analyses. Hydrolytic and enzymatic degradation studies demonstrated the success of the approach due to the susceptibility of the PBSeT component towards the enzymatic attack with lipases from Pseudomonas cepacia and even towards high temperature hydrolysis.

Improving the permeability and adsorption of phenol by organophilic clay in clay liners

Nima Heidarzadeh,Paria Parhizi 대한환경공학회 2020 Environmental Engineering Research Vol.25 No.1

The aim of this study is to investigate the effect of five different combinations including: sand 70%, bentonite 30% (S70B30)- sand 80%, bentonite 20% (S80B20)- sand 80%, organophilic 20% (S80M20)- sand 60%, bentonite 20%, organophilic 20% (S60B20M20) and sand 75% - bentonite 15% - organophilic 10% (S75B15M10) on landfill linear structure in order to decrease phenol leaching. Hydraulic conductivity and adsorption behavior of the samples were investigated. The results demonstrated that the lowest hydraulic conductivity coefficient (1.16 ×10<SUP>-11</SUP>㎧) was obtained for S70B30. Furthermore, adding more than 20% of bentonite had no significant effect on reducing permeability. Moreover, Freundlich isotherm was introduced as the best model explaining adsorption behaviour due to its highest determination coefficient (0.945). The best samples for adsorption capacity of phenol and for both permeability and adsorption are S80M20 and S60B20M20, respectively. Although the presence of bentonite was effective in reducing hydraulic conductivity, organic clay had no considerable impact on reducing permeability. Though, it"s an exceptional role in adsorbing organic contaminants including phenol cannot be ignored. To meet all regulatory constraints, the optimal compound is made up of 10.2% of bentonite and 2.8% of organophilic clays with a minimized cost of 13.64 ($/ton).

An Efficient Generalized Plasticity Constitutive Model with Minimal Complexity and Required Parameters

Heisam Heidarzadeh,Mohammad Oliaei 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.4

Numerical analyses precision performed by software, depends mostly on the accuracy of constitutive model. Therefore, the issueof accuracy has led to significant achievements in the development of constitutive models simulating the mechanical behavior ofsoils. However, these constitutive models often needs to a lot of parameters to be calibrated for each type of soil, and it’s consideredas a disadvantage. especially, when the model parameters should be obtained through trial and error, the number of the parametersbecomes a considerable issue. This paper presents an advanced constitutive model. Despite requiring much lower number of modelparameters, it provides the same level of accuracy in compression of other advanced constitutive models for sand in literature. Toshow that the presented model achieved to this purpose, it is evaluated by various experimental data and some predictions made bytwo successful advanced models in literature. Consequently, it shows the presented model can accurately predict the sand behaviorunder different conditions despite using smaller number of parameters. Also, the accuracy of the presented model is on a par withadvanced constitutive models available in the geotechnical engineering literature.

Tsunamigenic potential of a newly discovered active fault zone in the outer messina strait, southern italy

Fu, Lili,Heidarzadeh, Mohammad,Cukur, Deniz,Chiocci, Francesco L.,Ridente, Domenico,Gross, Felix,Bialas, Jö,rg,Krastel, Sebastian Wiley-Blackwell 2017 Geophysical research letters Vol.44 No.5

Optimization of water quality monitoring stations using genetic algorithm, a case study, Sefid-Rud River, Iran

Asadollahfardi, Gholamreza,Heidarzadeh, Nima,Mosalli, Atabak,Sekhavati, Ali Techno-Press 2018 Advances in environmental research Vol.7 No.2

Water quality monitoring network needs periodic evaluations based on environmental demands and financial constraints. We used a genetic algorithm to optimize the existing water quality monitoring stations on the Sefid-Rud River, which is located in the North of Iran. Our objective was to optimize the existing stations for drinking and irrigation purposes, separately. The technique includes two stages called data preparation and the optimization. On the data preparation stage, first the basin was divided into four sections and each section was consisted of some stations. Then, the score of each station was computed using the data provided by the water Research Institute of the Ministry of energy. After that, we applied a weighting method by providing questionnaires to ask the experts to define the significance of each parameter. In the next step, according to the scores, stations were prioritized cumulatively. Finally, the genetic algorithm was applied to identify the best combination. The results indicated that out of 21 existing monitoring stations, 14 stations should remain in the network for both irrigation and drinking purposes. The results also had a good compliance with the previous studies which used dynamic programming as the optimization technique.

A 10-year Study of Esophageal Cancer in Guilan Province, Iran: The Guilan Cancer Registry Study (GCRS)

Mansour-Ghanaei, Fariborz,Heidarzadeh, Abtin,Naghipour, Mohammad Reza,Joukar, Farahnaz,Valeshabad, Ali Kord,Fallah, Mohammad-Sadegh,Rezvani, Seyed Mahmoud,Sedigh-Rahimabadi, Massih,Rokhshad, Hasan,Dad Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.12

Background: Northern Iran counts as one of the highest prevalence regions for esophageal cancer (EC) worldwide. This study was designed to assess the epidemiologic aspects of EC in north central and northwest Iran over a 10 year period. Materials and Methods: The Guilan cancer registry study (GCRS) is a population-based cancer registry study featuring retrospective (1996-2003) and prospective (2004-2005) phases. A detailed questionnaire based on WHO standards for cancer registratration was applied to gather the required information. Two trained physicians coded information using ICD-O-3 in close coordination with an expert pathologist. Results: A total of 19,936 cases of malignancy (mean age $55.4{\pm}18.0$ years, range: 1-98 years) were registered, including 1,147 cases (670 males, 447 female; mean age: $64.0{\pm}11.5$ years) of EC. In 1996 the male/female ratio among patients with EC was 1.25 which increased to 1.53 in 2005. The lower third of the esophagus still remained the most common site of tumors. The average age-standardized rate (ASR) was 6.9 and 4.1 per $10^5$ men and women, respectively. In 1996, the ASRs were 7.2 and 5.2 per $10^5$ men and women which decreased to 6.9 and 4.1 per $10^5$ in 2004-2005. Squamous cell carcinoma (SCC) was the most prevalent histological subtype of EC accounting over 80% of cases. Conclusions: However the prevalence of adenocarcinoma (ADC) showed an increase to 18.4%. Guilan province may be considered a relatively low incidence region for EC.

Three dimensional dynamic soil interaction analysis in time domain through the soft computing

Bin Han,J.B. Sun,Milad Heidarzadeh,M.M. Nemati Jam,O. Benjeddou 국제구조공학회 2021 Steel and Composite Structures, An International J Vol.41 No.5

This study presents a 3D non-linear finite element (FE) assessment of dynamic soil-structure interaction (SSI). The numerical investigation has been performed on the time domain through a Finite Element (FE) system, while considering the nonlinear behavior of soil and the multi-directional nature of genuine seismic events. Later, the FE outcomes are analyzed to the recorded in-situ free-field and structural movements, emphasizing the numerical model's great result in duplicating the observed response. In this work, the soil response is simulated using an isotropic hardening elastic-plastic hysteretic model utilizing HSsmall. It is feasible to define the non-linear cycle response from small to large strain amplitudes through this model as well as for the shift in beginning stiffness with depth that happens during cyclic loading. One of the most difficult and unexpected tasks in resolving soil-structure interaction concerns is picking an appropriate ground motion predicted across an earthquake or assessing the geometrical abnormalities in the soil waves. Furthermore, an artificial neural network (ANN) has been utilized to properly forecast the non-linear behavior of soil and its multi-directional character, which demonstrated the accuracy of the ANN based on the RMSE and R2 values. The total result of this research demonstrates that complicated dynamic soil-structure interaction processes may be addressed directly by passing the significant simplifications of well-established substructure techniques.