Risk of increased expression of ACE2 membrane protein in patients with hypertension: Review of COVID-19

Context: In late 2019, COVID-19 launched a pandemic from around Wuhan, China. It`s called the SARS-CoV-2 virus which belongs to the corona family and it has a lot in common with SARS-CoV-2, but it has been reported to be more common. Evidence Acquisition: The risk of the virus is high for people with high blood pressure and use medication. The reason for this potential and risk for COVID-19 is an increase in expression in a membrane protein called ACE2. This protein is responsible for converting Ang I to Ang1-9 as well as converting Ang II to Ang1-7. Results: Its pathogenic role is due to its receptor for SARS-CoV-2 and SARS-CoV. Research has shown that there is a significant link between hypertension, Increase the expression and activity of ACE2 and having coronavirus. That`s why our goal is to remind people of high blood pressure about the risk of developing Covid-19. We studied ACE2 and Covid-19 from a clinical and biological point of view. In the following we have shown the position and the type of virus connection to ACE2 with the help of protein database. Conclusion: In the SARS-Cov-2, there are four structural proteins and several non-structural proteins together with capsid can contain positive-stranded RNA viruses. Studies have shown that the Spike (S) protein binds strongly to the chain E and F with the ACE2 receptor

Assessment of Health Literacy and Self-care Behaviors among Patients Discharged from COVID-19 Wards

Introduction: The rapid outbreak of the new COVID-19 virus has become an international health challenge. Confronting the prevalence of this pathogenic virus requires, in the first step, health literacy and self-care on people’s part. Materials and Methods: This descriptive cross-sectional study was carried out over three months. A total of 67 patients discharged from a COVID-19 ward were selected randomly. Data were collected using a validated researcher-made questionnaire on health literacy and self-care. The data were then analyzed using SPSS software version 16. Results: Sixty-seven patients (mean age: 45.32 ± 9.39; age range: 29 - 87) were assessed. The majority were male (64.2%), married (79.1%), illiterate (44.8%), and homemaker or unemployed (37.3%). The overall mean score of health literacy and self-care was moderate. The results of the Pearson correlation test showed a significantly positive association between overall health literacy and its components as well as the total self-care and its components among the patients studied (p <.001). Conclusion: Since self-care increases with health literacy among COVID-19 patients, it demands educational interventions in this area to improve health literacy

HMGA2 regulation by miRNAs in cancer:Affecting cancer hallmarks and therapy response

High mobility group A 2 (HMGA2) is a protein that modulates the structure of chromatin in the nucleus. Importantly, aberrant expression of HMGA2 occurs during carcinogenesis, and this protein is an upstream mediator of cancer hallmarks including evasion of apoptosis, proliferation, invasion, metastasis, and therapy resistance. HMGA2 targets critical signaling pathways such as Wnt/β-catenin and mTOR in cancer cells. Therefore, suppression of HMGA2 function notably decreases cancer progression and improves outcome in patients. As HMGA2 is mainly oncogenic, targeting expression by non-coding RNAs (ncRNAs) is crucial to take into consideration since it affects HMGA2 function. MicroRNAs (miRNAs) belong to ncRNAs and are master regulators of vital cell processes, which affect all aspects of cancer hallmarks. Long ncRNAs (lncRNAs) and circular RNAs (circRNAs), other members of ncRNAs, are upstream mediators of miRNAs. The current review intends to discuss the importance of the miRNA/HMGA2 axis in modulation of various types of cancer, and mentions lncRNAs and circRNAs, which regulate this axis as upstream mediators. Finally, we discuss the effect of miRNAs and HMGA2 interactions on the response of cancer cells to therapy. Regarding the critical role of HMGA2 in regulation of critical signaling pathways in cancer cells, and considering the confirmed interaction between HMGA2 and one of the master regulators of cancer, miRNAs, targeting miRNA/HMGA2 axis in cancer therapy is promising and this could be the subject of future clinical trial experiments.</p

General Health Subcomponents and Marital Satisfaction: Examining a Correlation during COVID-19

Introduction: COVID-19 is known as a general health threat. General health can play a significant role in marital adjustment and satisfaction and thus the strength of the family foundation. The current study aimed to determine the correlation between families’ general health subcomponents and marital satisfaction during the COVID-19 pandemic in Khaf, Iran. Materials and Methods: This descriptive-analytical study was conducted on 90 married people using the convenience sampling. The study instruments involved a demographics form, a general health questionnaire, and a marital satisfaction questionnaire. Data analyses were performed in SPSS statistical software ver. 22, using the Kolmogorov-Smirnov, Pearson correlation coefficient, multiple regression, independent t-test, one-way analysis of variance, and Tukey’s post hoc tests. The level of significance was set at p &lt;.05. Results: Among the general health subcomponents, the highest mean score belonged to depression (12.80 ± 4.65) and the lowest to social dysfunction (12.04 ± 4.24). The general health score was 49.70 ± 17.35, and the marital satisfaction mean score was 123.13 ± 34.02. Marital satisfaction was negatively and significantly associated with general health (r = -.71) as well as the subcomponents of somatic symptoms (r = -.64), anxiety (r = -.71), social dysfunction (r = -.66), and depression (-.067) (p &lt;.001). Conclusion: As COVID-19 depression and anxiety have the most significant impact on individuals’ general health and marital satisfaction, healthcare managers and policymakers are advised to consider solutions to these disorders in families. As such, they can contribute to spouses’ general health and marital satisfaction and thus strengthen the family foundation

Investigation of depression prevalence in slow coronary artery patients

Introduction: There is limited information about the association between Coronary Slow Flow (CSF) phenomenon and depression. This study aimed to investigate the prevalence of depression in slow coronary artery patients in compression of patients with normal coronary artery and those with significant coronary stenosis under angiography at Shafa hospital of Kerman in 2018. Materials and Methods: This was a cross-sectional study that was performed on 180 people. All participants were divided into three groups (60 patients with CSF diagnosed by elective Coronary Angiography (CAG), 60 people with Coronary Normal Flow (CNF), and 60 patients with significant coronary artery diseases (CAD) who were referred to Shafa hospital of Kerman in 2018. The data collection tool was a questionnaire that included two parts: demographic information and Beck Depression Scale. Data were analyzed by using SPSS 24 software. Results: The results showed that 55 % of the sample were male and the incidence of mild, moderate, and severe depression is significantly higher among patients with CSF in compromising with normal and coronary stenosis group (P &lt;0.0001). Conclusion: Due to the significant association between depression and CSF, it is necessary for people with cardiovascular disease to be screened for psychiatric problems

Factors affecting blood donation intervals and patterns of return based on a sample in southern Iran : a follow-up design

OBJECTIVE : The main goal of blood transfusion centers is to recruit and retain more qualified blood donors. This study aimed to identify the factors influencing the return of volunteer blood donors. MATERIAL AND METHODS : A cohort study was conducted on all blood donors who donated blood for the first time, from March 21, 2013, to March 20, 2014. They were followed up for five years (up to March 20, 2018). Demographic characteristics, type of blood donation and time interval between two blood donations were recorded as recurrent events. Data were then analyzed using Logit Model for Multinomial Responses and Cox's shared frailty model. RESULTS : Of the 2010 blood donors, 33.7% as the repeated donor and 16.2% as the regular donor had regular donations. The frequency of blood donation was in the range of 1 to 20 with a mean of 4.54±3.29. There was a significant reverse relationship between the number of donations and the time interval between two donations. The variables of gender, marital status and occupation had a significant effect on the blood donation of the repeated and regular donors. Genders, age at the time of the first donation, marital status and occupation had a significant effect on the intervals between blood donations. CONCLUSION : Most of blood supply of Iran is provided by men and first-time donors. Since the decision to donate and keep donating blood involves many complex issues applied programs are require to convert women and first-time donors into regular donors.http://www.romj.org/Statistic

Chitosan-based nanoscale systems for doxorubicin delivery:Exploring biomedical application in cancer therapy

Abstract Green chemistry has been a growing multidisciplinary field in recent years showing great promise in biomedical applications, especially for cancer therapy. Chitosan (CS) is an abundant biopolymer derived from chitin and is present in insects and fungi. This polysaccharide has favorable characteristics, including biocompatibility, biodegradability, and ease of modification by enzymes and chemicals. CS‐based nanoparticles (CS‐NPs) have shown potential in the treatment of cancer and other diseases, affording targeted delivery and overcoming drug resistance. The current review emphasizes on the application of CS‐NPs for the delivery of a chemotherapeutic agent, doxorubicin (DOX), in cancer therapy as they promote internalization of DOX in cancer cells and prevent the activity of P‐glycoprotein (P‐gp) to reverse drug resistance. These nanoarchitectures can provide co‐delivery of DOX with antitumor agents such as curcumin and cisplatin to induce synergistic cancer therapy. Furthermore, co‐loading of DOX with siRNA, shRNA, and miRNA can suppress tumor progression and provide chemosensitivity. Various nanostructures, including lipid‐, carbon‐, polymeric‐ and metal‐based nanoparticles, are modifiable with CS for DOX delivery, while functionalization of CS‐NPs with ligands such as hyaluronic acid promotes selectivity toward tumor cells and prevents DOX resistance. The CS‐NPs demonstrate high encapsulation efficiency and due to protonation of amine groups of CS, pH‐sensitive release of DOX can occur. Furthermore, redox‐ and light‐responsive CS‐NPs have been prepared for DOX delivery in cancer treatment. Leveraging these characteristics and in view of the biocompatibility of CS‐NPs, we expect to soon see significant progress towards clinical translation

Rhabdomyosarcoma: Current Therapy, Challenges, and Future Approaches to Treatment Strategies

Rhabdomyosarcoma is a rare cancer arising in skeletal muscle that typically impacts children and young adults. It is a worldwide challenge in child health as treatment outcomes for metastatic and recurrent disease still pose a major concern for both basic and clinical scientists. The treatment strategies for rhabdomyosarcoma include multi-agent chemotherapies after surgical resection with or without ionization radiotherapy. In this comprehensive review, we first provide a detailed clinical understanding of rhabdomyosarcoma including its classification and subtypes, diagnosis, and treatment strategies. Later, we focus on chemotherapy strategies for this childhood sarcoma and discuss the impact of three mechanisms that are involved in the chemotherapy response including apoptosis, macro-autophagy, and the unfolded protein response. Finally, we discuss in vivo mouse and zebrafish models and in vitro three-dimensional bioengineering models of rhabdomyosarcoma to screen future therapeutic approaches and promote muscle regeneration.S.G. was supported by the URGP (56977) and CHRIM (OG2023-24-05) operating grant

Recent advances and future directions in anti-tumor activity of cryptotanshinone: a mechanistic review

In respect to the enhanced incidence rate of cancer worldwide, studies have focused on cancer therapy using novel strategies. Chemotherapy is a common strategy in cancer therapy, but its adverse effects and chemoresistance have limited its efficacy. So, attempts have been directed towards minimally invasive cancer therapy using plant derived-natural compounds. Cryptotanshinone (CT) is a component of salvia miltiorrihiza Bunge, well-known as Danshen and has a variety of therapeutic and biological activities such as antioxidant, anti-inflammatory, anti-diabetic and neuroprotective. Recently, studies have focused on anti-tumor activity of CT against different cancers. Notably, this herbal compound is efficient in cancer therapy by targeting various molecular signaling pathways. In the present review, we mechanistically describe the anti-tumor activity of CT with an emphasis on molecular signaling pathways. Then, we evaluate the potential of CT in cancer immunotherapy and enhancing the efficacy of chemotherapy by sensitizing cancer cells into anti-tumor activity of chemotherapeutic agents, and elevating accumulation of anti-tumor drugs in cancer cells. Finally, we mention strategies to enhance the anti-tumor activity of CT, for instance, using nanoparticles to provide targeted drug delivery

Multi-lead ECG heartbeat classification of heart disease based on HOG local feature descriptor

Introduction: ECG data play an important role in the diagnostics of various cardiovascular diseases. Classification of multi-lead ECG signals could be challenging even for well-trained physicians. In this study we propose a new approach for multi-lead ECG classification. Method: Five-types of 15-lead ECG data namely healthy control, bundle branch block, cardiomyopathy, Dysrhythmia, and myocardial infarction patients from two types of datasets, 5319 and 6647 heartbeats from Baqiyatallah and PTB Diagnostic ECG database, were used, respectively. One-dimensional total variation regularization was used to denoising ECG data. Heartbeats were extracted by one cardiologist and saved as images with jpg format. Histogram of oriented gradients method was used to extract feature of images. for classification task support vector machine and fully connected neural network were used. Five-fold cross validation was used for validating the models. Result: For 15-lead ECG PTB Diagnostic database, the best classification models are SVM model with cubic (accuracy: 99.9%, Range: 99.77% - 100%) and quadratic (accuracy: 99.88%, Range: 99.77%-100%) kernel function, for this dataset fully connected accuracy is 99.4% with range of 99.02%- 99.70%. Regarding to the Baqyatallah dataset SVM with cubic (accuracy: 99.83%, Range:99.72%-100%) and quadratic (accuracy: 99.77%, Range: 99.62%-99.9%) were the best classification model and the accuracy for fully connected neural network was 99.1% with the range of 98.59%-99.62% based on HOG descriptors. Expected sigmodal kernel all classification method have accuracy more than 99%. Discussion: simultaneous use of HOG feature extraction method and appropriate classification algorithm such as SVM or fully connected neural network can classify 15-lead ECG heart-beat for different heart disease with high accuracy and adding other relevant patients’ information can be easily done in order to increase the method performance