Publications by authors named "Elham Jamshidi"

Objectives: The aim of this study was to evaluate the effects of probiotics on the treatment of constipation in patients with Parkinson's disease (PD) by analyzing data from published randomized clinical trials (RCTs). PD is a neurodegenerative disease characterized by clinical symptoms such as rigidity, bradykinesia, and resting tremor. Constipation is a common complaint reported by PD patients.

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Objective: To evaluate the effects of dietary eicosapentaenoic acid (EPA) in children with atopic dermatitis.

Methods: Forty-eight children with atopic dermatitis were randomly allocated to receive either 250 mg twice daily EPA (n = 24) or placebo (n = 24) for 4 weeks. The absolute improvement in the SCORing Atopic Dermatitis (SCORAD) index and the necessity to use topical corticosteroids was evaluated.

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Background: Misconceptions about adverse side effects are thought to influence public acceptance of the Coronavirus disease 2019 (COVID-19) vaccines negatively. To address such perceived disadvantages of vaccines, a novel machine learning (ML) approach was designed to generate personalized predictions of the most common adverse side effects following injection of six different COVID-19 vaccines based on personal and health-related characteristics.

Methods: Prospective data of adverse side effects following COVID-19 vaccination in 19943 participants from Iran and Switzerland was utilized.

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Available therapeutic strategies for cancers have developed side effects, resistance, and recurrence that cause lower survival rates. Utilizing targeted drug delivery techniques has opened up new hopes for increasing the efficacy of cancer treatment. The current study aimed to investigate the appropriate condition of primming human amniotic epithelial cells (hAECs) with paclitaxel as a dual therapeutic approach consisting of inherent anticancer features of hAECs and loaded paclitaxel.

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Grapevine Bois noir (BN) is associated with ' Phytoplasma solani'. It has been recorded in vineyards throughout Europe as well as in different countries in Asia, where it now constitutes a threat to Iranian viticulture. BN is strictly dependent on '.

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It is unknown how long the immunity following COVID-19 vaccination lasts. The current systematic review provides a perspective on the persistence of various antibodies for available vaccines.Both the BNT162b2 and the mRNA-1273 induce the production of IgA antibodies, reflecting the possible prevention of the asymptomatic spread.

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Article Synopsis
  • - The study highlights that mental health issues are a significant public health concern for young people in Europe, with varying levels of resources allocated to tackle these problems across different countries.
  • - Data from 31 European countries reveals alarming statistics for mental disorders, substance use disorders, and self-harm, showing trends in disability and premature death over a 30-year period.
  • - The findings suggest that improving national policies on mental health is crucial, particularly for younger populations, to address the increasing burden of these conditions highlighted in the research.
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has become in the spotlight regarding the serious early and late complications, including acute respiratory distress syndrome (ARDS), systemic inflammation, multi-organ failure and death. Although many preventive and therapeutic approaches have been suggested for ameliorating complications of COVID-19, emerging new resistant viral variants has called the efficacy of current therapeutic approaches into question. Besides, recent reports on the late and chronic complications of COVID-19, including organ fibrosis, emphasize a need for a multi-aspect therapeutic method that could control various COVID-19 consequences.

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Given the expanding number of COVID-19 cases and the potential for new waves of infection, there is an urgent need for early prediction of the severity of the disease in intensive care unit (ICU) patients to optimize treatment strategies. Early prediction of mortality using machine learning based on typical laboratory results and clinical data registered on the day of ICU admission. We retrospectively studied 797 patients diagnosed with COVID-19 in Iran and the United Kingdom (U.

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Cell delivery through spray instruments is a promising and effective method in tissue engineering and regenerative medicine. It is used for treating different acute and chronic wounds, including burns with different etiologies, chronic diabetic or venous wounds, postcancer surgery, and hypopigmentation disorders. Cell spray can decrease the needed donor site area compared with conventional autologous skin grafting.

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Cell-based therapy (CBT) is a revolutionary approach for curing a variety of degenerative diseases. Stem cell-based regenerative medicine is a novel strategy for treating tissue damages regarding stem cells unique properties such as differentiation potential, paracrine impacts, and self-renewal ability. However, the current cell-based treatments encounter considerable challenges to be translated into clinical practice, including low cell survival, migration, and differentiation rate of transplanted stem cells.

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Early prediction of symptoms and mortality risks for COVID-19 patients would improve healthcare outcomes, allow for the appropriate distribution of healthcare resources, reduce healthcare costs, aid in vaccine prioritization and self-isolation strategies, and thus reduce the prevalence of the disease. Such publicly accessible prediction models are lacking, however. Based on a comprehensive evaluation of existing machine learning (ML) methods, we created two models based solely on the age, gender, and medical histories of 23,749 hospital-confirmed COVID-19 patients from February to September 2020: a symptom prediction model (SPM) and a mortality prediction model (MPM).

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The SARS-CoV-2, the virus that causes COVID-19, has infected millions of people worldwide. The symptoms of this disease are primarily due to pulmonary involvement, uncontrolled tissue inflammation, and inadequate immune response against the invader virus. Impaired interferon (IFN) production is one of the leading causes of the immune system's inability to control the replication of the SARS-CoV-2.

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In the present study, Hermetia illucens larvae were reared on a main rearing substrate composed of a coffee roasting byproduct (coffee silverskin, Cs) enriched with microalgae (Schizochytrium limacinum or Isochrysis galbana) at various substitution levels. The microbial diversity of the rearing substrates, larvae, and frass (excrement from the larvae mixed with the substrate residue) were studied by the combination of microbial culturing on various growth media and metataxonomic analysis (Illumina sequencing). High counts of total mesophilic aerobes, bacterial spores, presumptive lactic acid bacteria, coagulase-positive cocci, and eumycetes were detected.

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With the outbreak of coronavirus disease (COVID-19) caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the world has been facing an unprecedented challenge. Considering the lack of appropriate therapy for COVID-19, it is crucial to develop effective treatments instead of supportive approaches. Mesenchymal stem cells (MSCs) as multipotent stromal cells have been shown to possess treating potency through inhibiting or modulating the pathological events in COVID-19.

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Article Synopsis
  • Emerging evidence highlights the potential of biofluid-based biomarkers for diagnosing and predicting outcomes in traumatic brain injuries (TBI), but a structured understanding of available materials is lacking.
  • A systematic scoping review identified 1,036 original human studies out of over 25,000 records, revealing 540 biomarkers categorized into 19 distinct groups.
  • Key findings showed that cytokines, coagulation tests, and nerve tissue proteins were the most researched, but no single biomarker proved definitive, indicating a need for further exploration and combined biomarker panels for enhanced diagnosis and prognosis.
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Bois noir is caused by ' Phytoplasma solani', and it is one of the most important and widespread diseases in the Euro-Mediterranean region. There are complex interactions between phytoplasma and grapevines, weeds, and vectors. These ecological relationships can be tracked according to molecular epidemiology.

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Mesenchymal stem cells (MSCs), as an undifferentiated group of adult multipotent cells, have remarkable antitumor features that bring them up as a novel choice to treat cancers. MSCs are capable of altering the behavior of cells in the tumor microenvironment, inducing an anti-inflammatory effect in tumor cells, inhibiting tumor angiogenesis, and preventing metastasis. Besides, MSCs can induce apoptosis and inhibit the proliferation of tumor cells.

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Grapevine Bois noir (BN) is caused by ' Phytoplasma solani' ('. P. solani') and is one of the most important phytoplasma diseases in the Euro-Mediterranean viticultural areas.

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Several studies have supported the preventive and therapeutic values of phenolic compounds including chlorogenic acid, syringic acid, vanillic acid, ferulic acid, caffeic acid, luteolin, rutin, catechin, kaempferol, and quercetin in mental disorders. Since these secondary metabolites are reported as the phenolic compounds of and , the main aim of this study was the evaluation and comparison of the phenolic contents, flavonoids, and antidepressant-like activity of with . Antidepressant-like activity of the extracts was evaluated in the forced swimming test (FST) and the tail suspension test (TST).

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Grapevine ( L.) is one of the most important horticultural crops in Iran, with >200,000 ha of cultivated area. Recently, outbreaks of the grapevine yellows Bois noir that is associated with phytoplasma strains related to ' Phytoplasma solani' were recorded in several Iranian regions.

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