The relationship between a plant-based diet and mental health: Evidence from a cross-sectional multicentric community trial (LIPOKAP study)

BACKGROUND: Dietary patterns emphasizing plant foods might be neuroprotective and exert health benefits on mental health. However, there is a paucity of evidence on the association between a plant-based dietary index and mental health measures. OBJECTIVE: This study sought to examine the association between plant-based dietary indices, depression and anxiety in a large multicentric sample of Iranian adults. METHODS: This cross-sectional study was performed in a sample of 2,033 participants. A validated food frequency questionnaire was used to evaluate dietary intakes of participants. Three versions of PDI including an overall PDI, a healthy PDI (hPDI), and an unhealthy PDI (uPDI) were created. The presence of anxiety and depression was examined via a validated Iranian version of the Hospital Anxiety and Depression Scale (HADS). RESULTS: PDI and hPDI were not associated to depression and anxiety after adjustment for potential covariates (age, sex, energy, marital status, physical activity level and smoking). However, in the crude model, the highest consumption of uPDI approximately doubled the risk of depression (OR= 2.07, 95% CI: 1.49, 2.87; P<0.0001) and increased the risk of anxiety by almost 50% (OR= 1.56, 95% CI: 1.14, 2.14; P= 0.001). Adjustment for potential confounders just slightly changed the associations (OR for depression in the fourth quartile= 1.96; 95% CI: 1.34, 2.85, and OR for anxiety in the fourth quartile= 1.53; 95% CI: 1.07, 2.19). CONCLUSIONS: An unhealthy plant-based dietary index is associated with a higher risk of depression and anxiety, while plant-based dietary index and healthy plant-based dietary index were not associated to depression and anxiety

An Adaptable Framework for Entity Matching Model Selection in Business Enterprises

Entity matching is the process of identifying data in different data sources that refer to the same real-world entity. A significant number of entity matching approaches have been introduced in the literature, which complicates the selection process. In this study, we propose a framework to support researchers in finding the best fitting entity matching model (s) based on the characteristics of their datasets. The proposed framework can be extended by adding more models, features, and use cases. To evaluate the framework, we have conducted a case study in the context of a business enterprise to support them with finding the right entity matching model out of five preselected models by the case study experts. The case study participants confirmed the framework's usefulness in assisting them in finding the best-fitting entity matching models. Having the knowledge regarding entity matching models readily available supports decision-makers at business enterprises in making more efficient and effective decisions that meet their requirements and priorities. Furthermore, such reusable knowledge can be employed by other researchers to develop new concepts and solutions for future challenges

A New Length-Based Algebraic Multigrid Clustering Algorithm

Clustering algorithms have been used to improve the speed and quality of placement. Traditionally,clustering focuses on the local connections between cells. In this paper, a new clustering algorithmthat is based on the estimated lengths of circuit interconnects and the connectivity is proposed. Inthe proposed algorithm, first an a priori length estimation technique is used to estimate the lengthsof nets. Then, the estimated lengths are used in a clustering framework to modify a clusteringtechnique based on algebraic multigrid (AMG), that finds the cells with the highest connectivity.Finally, based on the results from the AMG-based process, clusters are made. In addition, anew physical unclustering technique is proposed. The results show a significant improvement,reductions of up to 40%, in wire length can be achieved when using the proposed technique withthree academic placers on industry-based circuits. Moreover, the runtime is not significantlydegraded and can even be improved.Peer Reviewe

Synthetic hepcidin causes rapid dose-dependent hypoferremia and is concentrated in ferroportin-containing organs

Hepcidin is the principal iron regulatory hormone and its overproduction contributes to anemia of inflammation (AI). In vitro, hepcidin binds to and induces the degradation of the exclusive iron exporter ferroportin. We explored the effects and distribution of synthetic hepcidin in the mouse. A single intraperitoneal injection of hepcidin caused a rapid fall of serum iron in a dose-dependent manner, with a 50-μg dose resulting in iron levels 80% lower than in control mice. The full effect was seen within only 1 hour, consistent with a blockade of iron export from tissue stores and from macrophages involved in iron recycling. Serum iron remained suppressed for more than 48 hours after injection. Using radiolabeled hepcidin, we demonstrated that the serum concentration of hepcidin at the 50-μg dose was 1.4 μM, consistent with the inhibitory concentration of 50% (IC50) of hepcidin measured in vitro. Radiolabeled hepcidin accumulated in the ferroportin-rich organs, liver, spleen, and proximal duodenum. Our study highlights the central role of the hepcidin-ferroportin interaction in iron homeostasis. The rapid and sustained action of a single dose of hepcidin makes it an appealing agent for the prevention of iron accumulation in hereditary hemochromatosis. (Blood. 2005;106:2196-2199

Synthetic hepcidin causes rapid dose-dependent hypoferremia and is concentrated in ferroportin-containing organs

Hepcidin is the principal iron regulatory hormone and its overproduction contributes to anemia of inflammation (AI). In vitro, hepcidin binds to and induces the degradation of the exclusive iron exporter ferroportin. We explored the effects and distribution of synthetic hepcidin in the mouse. A single intraperitoneal injection of hepcidin caused a rapid fall of serum iron in a dose-dependent manner, with a 50-mu g dose resulting in iron levels 80% lower than in control mice. The full effect was seen within only 1 hour, consistent with a blockade of iron export from tissue stores and from macrophages involved in iron recycling. Serum iron remained suppressed for more than 48 hours after injection. Using radiolabeled hepcidin, we demonstrated that the serum concentration of hepcidin at the 50 mu g dose was 1.4 mu M, consistent with the inhibitory concentration Of 50% (IC50) Of hepcidin measured in vitro. Radiolabeled hepcidin accumulated in the ferroportin-rich organs, liver, spleen, and proximal duodenum. Our study highlights the central role of the hepcidin-ferroportin interaction in iron homeostasis. The rapid and sustained action of a single dose of hepcidin makes it an appealing agent for the prevention of iron accumulation in hereditary hemochromatosis