The Roles of the Nurses in Family Physician Team: A Qualitative Systematic Review.

Background: There are various approaches in primary health care regarding the key role of nurses. This systematic review investigates the roles of nurses, as part of the family medicine team. Materials and Methods: All published articles related to the role of nurses in the family medicine team from January 2000 to March 2022 were the subjects of this study. The eligibility criteria included original articles published in English or Persian in the last two decades. International credible scholarly databases (PubMed, Scopus, Magiran, IranMedex, and SID) were searched using keywords and syntax. Some of the keywords included "Family Health Nurse," "Nurses in Primary Care," "Family Medicine," "Family Physician Care Program," "General Physician Program," "Role," and "Nurse." Data were extracted based on Sample, Phenomenon of Interest, Design, Evaluation, Research type (SPIDER) technique and reported based on the structure of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Results: Of 147 identified publications by the search strategy, eight eligible empirical studies were included. The results showed that besides providing nursing care, nurses play vital roles in communication and teamwork, assessment, securing health services relevant to communities' needs, education, empowerment, clinical practice, health promotion, prevention, reflective research practice, and counseling. Conclusions: This study identified different roles nurses could play in providing primary health care. These findings are helpful for the replanning or reform of primary health care in countries, which aimed to expand the Family Physician Program (FPP) in their countries, including Iran.

Developing and validating a national set of standards for undergraduate medical education using the WFME framework: the experience of an accreditation system in Iran.

BACKGROUND: Defining standards is the first step toward quality assurance and improvement of educational programs. This study aimed at developing and validating a set of national standards for the Undergraduate Medical Education (UME) program through an accreditation system in Iran using the World Federation for Medical Education (WFME) framework. METHODS: The first draft of standards was prepared through consultative workshops with the participation of different UME program stakeholders. Subsequently, standards were sent to medical schools and UME directors were asked to complete a web-based survey. The content validity index at the item level (I-CVI) was computed using criteria including clarity, relevance, optimization and evaluability for each standard. Afterward, a full-day consultative workshop was held and a wide range of UME stakeholders across the country (n = 150) discussed the survey results and made corrections to standards. RESULTS: Analysis of survey results showed that relevance criteria had the best CVI as only 15 (13%) standards demonstrated CVI < 0.78. More than two-thirds (71%) and a half (55%) of standards showed CVI < 0.78 for optimization and evaluability criteria. The final set of UME national standards was structured in 9 areas, 24 sub-areas, 82 basic and 40 quality development standards, and 84 annotations. CONCLUSIONS: We developed and validated national standards as a framework to ensure the quality of UME training with input from UME stakeholders. We used WFME standards as a benchmark while addressing local requirements. The standards and participatory approach to developing standards may guide relevant institutions.

Molecular Method Is Essential to Identify Asymptomatic Malaria Reservoirs: A Successful Experience in the Malaria Elimination Program in Iran.

Background: The accurate diagnosis of malaria cases, especially asymptotic and low-parasitemia patients, using robust molecular methods (nested-PCR) have been emphasized. The goal of this study was to detect active cases of malaria in areas with a history of local malaria transmission focusing on the use of molecular tools to ensure that the malaria elimination program has been implemented successfully. Methods: In this cross-sectional study, 816 blood samples were taken from immigrants and local residents of malaria-endemic areas in Hormozgan province, Iran. In order to identify asymptomatic malaria parasite reservoirs, the samples were examined using microscopic, RDT, and nested-PCR techniques. Results: About twelve positive asymptomatic malaria cases were identified when the molecular method (nested-PCR) was used. The positivity rates among immigrants and local residents were 2.07% and 0.93%, respectively. No positive cases were detected using microscopic and RDT methods. Conclusions: The finding of the research emphasize that in addition to microscopy and RDTs methods, sensitive molecular tools as a standard and essential strategy are needed in the diagnosis and detection of asymptomatic parasite reservoir.

Withdrawal Notice: The Performance of Interferon-gamma Release Assays and Tuberculin Skin Tests in the Diagnosis of Latent Tuberculosis Infection among Immune-mediated Inflammatory Diseases: A Meta-analysis Study

Since the authors are not responding to the editor's requests to fulfill the editorial requirement, therefore, the article has been withdrawn.Bentham Science apologizes to the readers of the journal for any inconvenience this may cause.The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php. Bentham Science Disclaimer: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Online assessment in two consequent semesters during COVID-19 pandemic: K-means clustering using data mining approach.

BACKGROUND: Education and assessment have changed during the COVID-19 pandemic so that online courses replaced face-to-face classes to observe the social distance. The quality of online assessments conducted during the pandemic is an important subject to be addressed. In this study, the quality of online assessments held in two consecutive semesters was investigated. MATERIALS AND METHODS: One thousand two hundred and sixty-nine multiple-choice online examinations held in the first (n = 535) and second (n = 734) semesters in Birjand University of Medical Sciences during 2020-2021 were examined. Mean, standard deviation, number of questions, skewness, kurtosis, difficulty, and discrimination index of tests were calculated. Data mining was applied using the k-means clustering approach to classify the tests. RESULTS: The mean percentage of answers to all tests was 69.97 ± 19.16, and the number of questions was 34.48 ± 18.75. In two semesters, there was no significant difference between the difficulty of examinations (P = 0.84). However, there was a significant difference in the discrimination index, skewness, and kurtosis of tests (P < 0.001). Moreover, according to the results of the clustering analysis in the first semester, 43% of the tests were very hard, 16% hard, and 7% moderate. In the second semester, 43% were hard, 16% moderate, and 41% easy. CONCLUSION: To evaluate the tests' quality, calculating difficulty and discrimination indices is not sufficient; many factors can affect the quality of tests. Furthermore, the experience of the first semester had changed characteristics of the second-semester examinations. To enhance the quality of online tests, establishing appropriate rules to hold the examinations and using questions with higher taxonomy are recommended.

Angiotensin-converting enzyme 1 and voltage-gated potassium channel-interacting protein 4 gene polymorphisms in COVID-19 patients from east of Iran.

BACKGROUND: Coronavirus disease 2019(COVID-19), the infectious respiratory disease caused by a newly discovered pathogen (severe acute respiratory syndrome coronavirus 2), is a pandemic that places a burden on the health care system. Recently, most research on COVID-19 has emphasized its profound impact on specific regions and ethnic groups. A possible explanation for these variations in disease presentation and severity might be differences in the gene pool of populations. This study therefore attempted to clarify possible involvements of genetic factors affecting COVID-19 pathogenesis with a focus on voltage-gated potassium channel-interacting protein 4 (KCNIP4) and angiotensin-converting enzyme 1 (ACE1) gene polymorphisms. MATERIALS AND METHODS: In this case-control study, the polymorphisms were genotyped using PCR in 194 COVID-19 patients and 194 healthy controls. RESULTS: COVID-19 susceptibility and severity appeared to be unaffected by these polymorphisms. However, this study supported the relevance of ACE1 II genotype frequency to a decreased number of deaths due to the infection. We found that COVID-19 patients with the ACE1 II genotype have a statistically significant better chance of survival (p = 0.008). CONCLUSION: This study strengthens the idea that the ACE1 I/D polymorphism can be a novel prognostic factor indicating the outcome of COVID-19.

Seroprevalence of SARS-COV-2 antibodies among health-care workers exposed to COVID-19 patients in a large reference hospital, Iran.

Background and Objectives: Health care workers (HCWs) are a high-risk group for acquiring and transmitting severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. Aim of the study was the evaluation of seroprevalence of SARS-CoV-2 in a random sample of HCWs at a large acute care hospital in Iran. Materials and Methods: We collected blood samples of 180 medical staffs from September 22, 2020 to January 26, 2021. The enzyme linked immunosorbent assays (ELISA) tests were used for evaluation of the presence of IgG antibodies. Participants completed a self-report questionnaire, comprising demographics, occupational, the work area, and personal protection data. Results: Of the 180 HCWs who participated in this study, 44 (24.4%) were seropositive for anti-SARS-CoV-2 IgG. The percentage of IgG positivity was higher in males than females (P<0.05). Also, there was statistically significant difference between presence of the antibodies and the occupation, location, and infecting family members with Covid -1 (P<0.05). Other factors did not associate significantly to antibody presence against SARS-CoV-2 (P>0.05). Conclusion: According to this point that the number of COVID-19 cases is still growing rapidly among HCWs. So, the epidemiological estimate of SARS-CoV-2 infection remains a major challenge that is needed to prevent the spread of infection in the hospitals.

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods.

One of the most critical challenges in managing complex diseases like COVID-19 is to establish an intelligent triage system that can optimize the clinical decision-making at the time of a global pandemic. The clinical presentation and patients' characteristics are usually utilized to identify those patients who need more critical care. However, the clinical evidence shows an unmet need to determine more accurate and optimal clinical biomarkers to triage patients under a condition like the COVID-19 crisis. Here we have presented a machine learning approach to find a group of clinical indicators from the blood tests of a set of COVID-19 patients that are predictive of poor prognosis and morbidity. Our approach consists of two interconnected schemes: Feature Selection and Prognosis Classification. The former is based on different Matrix Factorization (MF)-based methods, and the latter is performed using Random Forest algorithm. Our model reveals that Arterial Blood Gas (ABG) O2 Saturation and C-Reactive Protein (CRP) are the most important clinical biomarkers determining the poor prognosis in these patients. Our approach paves the path of building quantitative and optimized clinical management systems for COVID-19 and similar diseases.

Strategies for sharing pedagogical knowledge in clinical education in adapting to the impact of COVID-19.

BACKGROUND: The extent and complexity of knowledge in the field of medicine necessitate modern education systems. Rational performance in the education system depends on the synergy of educators through knowledge sharing as the basis of education. The aim of this study was to investigate the knowledge-sharing strategies in clinical education and its changes during the COVID-19 pandemic. MATERIALS AND METHODS: The content analysis was conducted in 2019 at Birjand University of Medical Sciences. Twenty-seven clinical instructors with enough experience and knowledge in the field of clinical education were chosen based on purposive theoretical sampling. Data collection was done by semi-structured interviews, which continued until data saturation. The interviews were recorded, transcribed, and read several times to obtain a whole understanding. Next, the meaning units and initial codes were identified, and then, they were classified into subcategories and categories. To ensure the trustworthiness of the data, Lincoln and Guba criteria were considered. RESULTS: The results of the study include five pedagogical knowledge-sharing strategies: "peer-helping, clinical education workplace," "use of cyberspace," "student mediation," "working teams," and "scientific communities." Coronavirus pandemic was identified as the "facilitator" and the "culturalization factor" of knowledge sharing. In addition, "lack of shared knowledge management," "lack of compliance with needs," and "dispersion of content" were considered as barriers to the efficiency of pedagogical knowledge sharing during the coronavirus pandemic. CONCLUSIONS: Sharing knowledge in a clinical education setting could continue by various strategies. The results can be used in planning for the professional development of professors.

Topical treatment of cutaneous leishmaniasis lesions using quercetin/ Artemisia-capped silver nanoparticles ointment: Modulation of inflammatory response.

Leishmaniasis is a major health issue that affects people all over the world, producing considerable morbidity and mortality in Asia, Africa, and the Americas, and existing treatments have significant side effects. Nowadays, the development of nanoscale materials such as biogenic silver nanoparticles has attracted much medical attraction. In this study, AgNPs were synthesized from leaf extract of Artemisia aucheri. Biosynthesized AgNPs were analyzed by UV-visible spectroscopy, dynamic light scattering and zeta potential, fourier transform infrared spectroscopy and field emission scanning electron microscopy. Biosynthesized AgNPs were examined for anti-leishmanial and antibacterial activity. The in vivo study was conducted by treating the L. major infected BALB/c mice with quercetin/ artemisia-capped silver nanoparticles ointment topically for 21 consecutive days. The in vitro and in vivo results showed that the ointment containig quercetin/artemisia-capped silver nanoparticles have the potential to decrease inflammatory responses and enhance wound healing with granulation tissue formation compared to the untreated group. Therefore, biogenic nanoparticles are safe, eco-friendly, and easy to synthesize and could be considered as an alternative regimen for treatment of L. major.

A Systematic and Meta-Analysis Study on the Prevalence of Tuberculosis and Relative Risk Factors for Prisoners in Iran.

INTRODUCTION: Tuberculosis (TB) is a serious infectious disease that affects human health globally. The incidence of TB in prisons is usually much higher than the general population in different countries. The aim of this study was to evaluate the incidence of TB among prisoners in Iran, estimating the relative risk factors by performing a systematic and meta-analysis study on the related articles. METHODOLOGY: Our systematic and meta-analysis study was performed according to the PRISMA guidelines. Two authors systematically searched Scopus, Iran doc, Cochrane, Pubmed, Medline, Embase, Iran medex, Magiran, SID, Google Scholar, and EBSCO. The quality assessment of articles was performed by using the Newcastle-Ottawa Scale. After article quality assessment, a fixed or random model, as appropriate, was used to pool the results in a meta-analysis. Heterogeneity between the studies was assessed using I-square and Q-test. Forest plots demonstrating the point and pooled estimates were drawn. RESULTS: Overall, data from 19562 prisoners indicated 63 cases of TB. The prevalence of TB in prisoners was reported to range from 0.025% to 52% in eight studies. The highest prevalence of tuberculosis was related to the study of Rasht, 517 in 100,000, and the lowest rate was related to the study of Sought Khorasan, 25 in 100,000. The ES of the random effect model is 0.003 (95% CI, 0.001-0.005) and p-value <0.0001. The Higgins' I2 of all studies is 86.55%, and the p-value of the Cochrane Q statistics is <0.001, indicating that there is heterogeneity. Based on the Egger regression plot (t=2.18, p = 0.08, CI 95%: -0.001, 0.005), no publication bias existed. CONCLUSION: According to the analysis findings, the frequency of tuberculosis among the prison in Iran was low. The highest prevalence obtained in our systematic study was 517 in 100,000 in Rasht, which was near the world statistics in the systematic review of world studies. Due to significant limitations in this study, it is not possible to indicate the exact prevalence of TB in prisons in Iran and compare this with the general population. However, more studies are needed to assess the related risk factors for designing health intervention plans to decrease the incidence rate of TB among prisoners.

Evaluation of the effect of sofosbuvir and daclatasvir in hospitalized COVID-19 patients: a randomized double-blind clinical trial (DISCOVER).

BACKGROUND: The combination of sofosbuvir and daclatasvir has shown preliminary efficacy for hospitalized patients with COVID-19 in four open-label studies with small sample sizes. This larger trial aimed to assess if the addition of sofosbuvir/daclatasvir to standard care improved clinical outcomes in hospitalized patients with COVID-19. METHODS: This was a placebo-controlled, double-blind, randomized clinical trial in adults hospitalized with COVID-19 at 19 hospitals in Iran. Patients were randomized to oral sofosbuvir/daclatasvir 400/60 mg once-daily or placebo in addition to standard of care. Patients were included if they had positive PCR or diagnostic chest CT, O2 saturation <95% and compatible symptoms. The primary outcome was hospital discharge within 10 days of randomization. Secondary outcomes included mortality and time to clinical events. The trial is registered on the Iran Registry of Clinical Trials under IRCT20200624047908N1. RESULTS: Between July and October 2020, 1083 patients were randomized to either the sofosbuvir/daclatasvir arm (n = 541) or the placebo arm (n = 542). No significant difference was observed in the primary outcome of hospital discharge within 10 days, which was achieved by 415/541 (77%) in the sofosbuvir/daclatasvir arm and 411/542 (76%) in the placebo arm [risk ratio (RR) 1.01, 95% CI 0.95-1.08, P = 0.734]. In-hospital mortality was 60/541 (11%) in the sofosbuvir/daclatasvir arm versus 55/542 (10%) in the placebo arm (RR 1.09, 95% CI 0.77-1.54, P = 0.615). No differences were observed in time to hospital discharge or time to in-hospital mortality. CONCLUSIONS: We observed no significant effect of sofosbuvir/daclatasvir versus placebo on hospital discharge or survival in hospitalized COVID-19 patients.

Comparison of the use of personal protective equipment and infection control in dentists and their assistants before and after the corona crisis.

BACKGROUND: Coronavirus disease 2019 is a new viral outbreak in the world. Dentists and their assistants are at greatest risk of exposure to the virus, due to close contact with patients and dealing with aerosols. Hence, the aim of this study was to compare the use of personal protective equipment (PPE) and supplementary protective equipment (SPE) and observance of the principles of infection control (PIC) in dentists and their assistants before and after the corona crisis. MATERIALS AND METHODS: This cross-sectional study was conducted using an online survey from May 6 to 20, 2020. Convenience sampling was used to select individuals. The questionnaire, consisting of four general categories about the use of PPE and SPE and the observance of PIC by dentists and their assistants before and after corona crisis, was registered at Porsline website (https://survey.porsline.ir/s/KUt7VQB). Frequencies in each subcategory were calculated and comparisons were done using Chi-square test, Fisher's exact test, and paired sample t-test. A P < 0.05 was considered statistically significant. RESULTS: There were significant differences in the frequency of use of PPE by dentists before and after corona crisis for oral and dental examination and also dental procedures (P < 0.001). There were significant differences in the frequency of use of SPE and observance of PIC before and after corona crisis, except for different types of suction types (P = 0.22), dental handpiece (P = 0.66), and dental unit (P = 1). There were significant differences in the frequency of use of PPE by dental assistants before and after corona crisis (P < 0.001). CONCLUSIONS: Although the frequency of use of PPE and observance of PIC increased among dentists and their assistants, this increase is not sufficient, especially for dental assistants, and a higher level of use of PPE and PIC observance in face of highly contagious and life-threatening viruses such as corona is required.

Prognostic Value of Procalcitonin for Morbidity and Mortality in Patients after Cardiac Surgery.

BACKGROUND: The increased serum procalcitonin (PCT) level in cardiac patients is known as a sign of postoperative complications. OBJECTIVE: Considering the importance of predicting the incidence of both complications and mortality caused by coronary artery bypass graft (CABG) surgery, this study was conducted to determine the serum PCT level and its relationship with one-year morbidity and mortality among CABG patients. METHODS: This descriptive-analytical study was performed on 100 patients who underwent CABG surgery in Vali-e-Asr Hospital of Birjand, Iran. They were selected by a census sampling method from March 2014 to March 2015. The Elecsys BRAHMS PCT kit (Roche Company) was then used to measure the patients' serum PCT level. The required data were collected using the patients' medical records and telephone interviews with the patient or his/her relatives by passing one year from their discharge. The outcomes of this study comprised of mortality and morbidity causes (e.g., dysrhythmia, infection, and stroke). The data were then analyzed in SPSS version 16 by Mann-Whitney, chi-squared, and Fisher exact tests. RESULTS: The postoperative serum PCT level is significantly correlated with sternum wound infection (p=0.001), packed cells (PC) transfusion (p=0.003), and death (p=0.003). In addition, a significant relationship was found between dyslipidemia and hypertension and early mortality rate in patients with high levels of PCT. Of note, risk-adjusted death did not differ significantly between the serum PCT levels after one year (RR, 0.068; 95% CI 0.008-0.566). CONCLUSION: Higher PCT serum levels in CABG patients are associated with the increased early mortality rate, sternum wound infection, and PC transfusion. Additionally, the other factors associated with mortality in the patients under study included dyslipidemia and hypertension.

Decoding Clinical Biomarker Space of COVID-19: Exploring Matrix Factorization-based Feature Selection Methods.

One of the most critical challenges in managing complex diseases like COVID-19 is to establish an intelligent triage system that can optimize the clinical decision-making at the time of a global pandemic. The clinical presentation and patients’ characteristics are usually utilized to identify those patients who need more critical care. However, the clinical evidence shows an unmet need to determine more accurate and optimal clinical biomarkers to triage patients under a condition like the COVID-19 crisis. Here we have presented a machine learning approach to find a group of clinical indicators from the blood tests of a set of COVID-19 patients that are predictive of poor prognosis and morbidity. Our approach consists of two interconnected schemes: Feature Selection and Prognosis Classification. The former is based on different Matrix Factorization (MF)-based methods, and the latter is performed using Random Forest algorithm. Our model reveals that Arterial Blood Gas (ABG) O 2 Saturation and C-Reactive Protein (CRP) are the most important clinical biomarkers determining the poor prognosis in these patients. Our approach paves the path of building quantitative and optimized clinical management systems for COVID-19 and similar diseases.

Possible Potential Effects of Honey and Its Main Components Against Covid-19 Infection.

Coronavirus disease 2019 (COVID-19) is a viral pneumonia that is spreading rapidly worldwide. The main feature of this disease is a severe acute respiratory syndrome and caused by coronavirus 2 (SARS-CoV-2). There are several unknowns about the pathogenesis and therapeutically treatment of COVID-19 infection. In addition, available treatment protocols have not been effective in managing COVID-19 infection. It is proposed that natural anti-oxidants such as lemon, green tea, saffron, curcuma longa, etc. with high flavonoids like safranal, crocin, crocetin, catechins, resveratrol, calebin A, curcumin have therapeutic potential against viral infections. In this context, honey and its main components are being investigated as an option for patients with COVID-19. The present study may indicate that honey and its main components inhibit the entry of the virus into the host cell and its replication as well as modulate the inflammatory cascade. This review provides basic information for the possible potential effects of honey and its main components for fighting with SARS-CoV-2.

Uncovering psychobehavioural implications of SARS-CoV-2 infection in Iran.

Iran is the country in Western Asia most impacted by the COVID-19 outbreak. A survey was conducted among the general public in Iran aimed at investigating psychobehavioural issues related to the COVID-19 outbreak, namely (a) barriers to preventive measures against SARS-CoV-2 infection; (b) negative emotions towards SARS-CoV-2 infection; and (c) anxiety levels among the general public in Iran. A cross-sectional, web-based survey using an online questionnaire was carried out between 16 March and 1 April 2020. The six-item version of the State-Trait Anxiety Inventory (STAI-6) was used to assess anxiety levels. A total of 1,789 complete responses were received. Nearly 60% reported having difficulty in wearing a face mask to protect against SARS-CoV-2 infection. The mean and standard deviation (SD) for the total prevention barrier score was 35.8 (SD ± 7.1; range 18-68) out of a possible score of 72. Male respondents [odds ratio (OR) = 1.25; 95% confidence interval (CI) 1.03-1.51] and respondents who perceived their health status as poor/fair (OR = 1.49; 95% CI 1.31-1.82) were predictors of high prevention barriers. Negative emotions such as fear (74.6%) followed by depression (43.4%) and stigma (23.0%) associated with SARS-CoV-2 infection were reported. Respondents who perceived their health as poor/fair (OR = 2.19; 95% CI 1.57-3.04) reported a higher likelihood of having higher negative emotions. Findings on anxiety level revealed 68.0% (95% CI 65.8-70.1) reported moderate to severe anxiety. Respondents who perceived their health as poor/fair (OR = 3.46; 95% CI 12.22-5.40) and who were females (OR = 1.91; 95% CI 1.55-2.36) were predictors of moderate to severe anxiety. In conclusion, psychobehavioural interventions are needed to facilitate management and control of the COVID-19 outbreak.

Tuberculosis: A Cunning Disease Presenting with Endopericarditis-Associated Bilateral Uveitis

Mycobacterium tuberculosis can spread through the entire body but rarely involves the eye. We report a patient with endophthalmitis in one eye and simultaneous retinal vasculitis in the fellow eye. Systemic work-up suggested infective endopericarditis. Polymerase chain reaction analyses of the vitreous and pericardial fluid were positive for M. tuberculosis. We initiated a four-drug antituberculous treatment regimen (isoniazid, ethambutol, pyrazinamide, and rifampin). After two weeks, we discontinued all the medications due to drug-induced hepatitis. We restarted isoniazid and rifampin, but hepatitis recurred. Finally, we chose isoniazid/ethambutol combination for 18 months, and also administered short-term systemic corticosteroid. His vision improved considerably with no recurrence of hepatitis or tuberculosis for 3 years after completion of treatment. Ocular tuberculosis can masquerade as other causes of intraocular inflammation, and a medical team consisting of an ophthalmologist and an infectious disease specialist might be needed for the diagnosis and management.

Chrysin attenuates inflammatory and metabolic disorder indices in aged male rat.

Advanced age is a major risk factor for metabolic disorders. Accelerated inflammatory processes with increased age can contribute to the pathogenesis of metabolic disturbances. Chrysin is a natural flavonoid ingredient of honey and propolis. Chrysin has been effective in decreasing cholesterol and glucose levels preventing metabolic disturbances. The aim of this study was to evaluate the effects of chrysin against age-associated inflammation, hyperglycemia, and hypercholesterolemia. Male Wistar rats (2, 10, and 20 month-old) were intraperitoneally (i.p.) injected with chrysin (20 mg/kg) for 30 days. The findings showed elevated inflammatory cytokines, glucose, and lipid parameters in the sera of aged rats when compared with young ones. However, chrysin treatment ameliorated these alterations. Furthermore, chrysin reduced the levels of adiponectin, HDL-C, and insulin in 20 month-old rats. The current study showed that chrysin was effective in attenuating age-related lipid abnormalities, glucose elevation, and inflammation.

Molecular evolution and phylodynamics of hepatitis B virus infection circulating in Iran.

Previous local and national Iranian publications indicate that all Iranian hepatitis B virus (HBV) strains belong to HBV genotype D. The aim of this study was to analyze the evolutionary history of HBV infection in Iran for the first time, based on an intensive phylodynamic study. The evolutionary parameters, time to most recent common ancestor (tMRCA), and the population dynamics of infections were investigated using the Bayesian Monte Carlo Markov chain (BMCMC). The effective sample size (ESS) and sampling convergence were then monitored. After sampling from the posterior distribution of the nucleotide substitution rate and other evolutionary parameters, the point estimations (median) of these parameters were obtained. All Iranian HBV isolates were of genotype D, sub-type ayw2. The origin of HBV is regarded as having evolved first on the eastern border, before moving westward, where Isfahan province then hosted the virus. Afterwards, the virus moved to the south and west of the country. The tMRCA of HBV in Iran was estimated to be around 1894, with a 95% credible interval between the years 1701 and 1957. The effective number of infections increased exponentially from around 1925 to 1960. Conversely, from around 1992 onwards, the effective number of HBV infections has decreased at a very high rate. Phylodynamic inference clearly demonstrates a unique homogenous pattern of HBV genotype D compatible with a steady configuration of the decreased effective number of infections in the population in recent years, possibly due to the implementation of blood donation screening and vaccination programs. Adequate molecular epidemiology databases for HBV are crucial for infection prevention and treatment programs.