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We investigated the rise of nontuberculous mycobacteria (NTM) infections in Bulgaria, focusing on species identification and distribution from 2018 to 2022. Utilizing advanced diagnostic tools, including the Hain Mycobacterium CM/AS method, Myco-biochip assay, and whole-genome sequencing, the study identifies and characterizes a diverse range of Mycobacterium species from clinical samples. While M. avium, M. gordonae, M. fortuitum, and M. chelonae were dominating, a number of rare species were also found. They include such species as M. marseillense and M. celatum. Moreover, the noticeable prevalence of M. terrae complex species missed by conventional testing was observed. We identified a rare species, highly homologous to previously described strains from Japan; based on genome–genome distance data, we propose its reannotation as a new species. Further, a novel species was identified, which is significantly distinct from its closest neighbor, M. iranicum, with ANI = 87.18%. Based on the SeqCode procedure, we propose to name this new species Mycobacterium bulgaricum sp. nov. Dynamic changes in NTM species prevalence in Bulgaria observed from 2011 to 2022 highlight the emergence of new species and variations tied to environmental and demographic factors. This underscores the importance of accurate species identification and genotyping for understanding NTM epidemiology, informing public health strategies, and enhancing diagnostic accuracy and treatment protocols. [ABSTRACT FROM AUTHOR]

Candida auris is a multidrug-resistant yeast that has seen a worrying increase during the COVID-19 pandemic. Give7/n this, new therapeutic options, such as controlled-release nanomaterials, may be promising in combating the infection. Therefore, this study aimed to develop amphotericin B (AmB) and micafungin (MICA)-loaded nanoemulsions (NEMA) and evaluated against biofilms of C. auris. Nanoemulsions (NEs) were characterized and determined minimum inhibitory concentration MIC90, checkerboard and anti-biofilm. NEMA presented a size of 53.7 and 81.4 nm for DLS and NTA, respectively, with good stability and spherical morphology. MICAmB incorporated efficiency was 88.4 and 99.3%, respectively. The release results show that AmB and MICA obtained a release of 100 and 63.4%, respectively. MICAmB and NEMA showed MIC90 values of 0.015 and 0.031 ug/mL, respectively and synergism. NEMA showed greater metabolic inhibition and morphological changes in mature biofilms. This drugs combination and co-encapsulation proved to be a promising therapy against C. auris biofilms. [ABSTRACT FROM AUTHOR]

Background: Herpes simplex virus type 1 (HSV-1), known to latently infect the host’s trigeminal ganglion, can lead to severe herpes encephalitis or asymptomatic infection, potentially contributing to neurodegenerative diseases like Alzheimer’s. The virus generates reactive oxygen species (ROS) that significantly impact viral replication and induce chronic inflammation through NF-κB activation. Nuclear factor E2-related factor 2 (Nrf2), an oxidative stress regulator, can prevent and treat HSV-1 infection by activating the passive defense response in the early stages of infection. Methods and results: Our study investigated the antiviral effects of ginsenoside Rg5, an Nrf2 activator, on HSV-1 replication and several host cell signaling pathways. We found that HSV-1 infection inhibited Nrf2 activity in host cells, induced ROS/NF-κB signaling, and triggered inflammatory cytokines. However, treatment with ginsenoside Rg5 inhibited ROS/NF-κB signaling and reduced inflammatory cytokines through NRF2 induction. Interestingly, the Nrf2 inhibitor ML385 suppressed the expression of NAD(P)H quinone oxidoreductase 1(NQO1) and enhanced the expression of KEAP1 in HSV-1 infected cells. This led to the reversal of VP16 expression inhibition, a protein factor associated with HSV-1 infection, thereby promoting HSV-1 replication. Conclusion: These findings suggest for the first time that ginsenoside Rg5 may serve as an antiviral against HSV-1 infection and could be a novel therapeutic agent for HSV-1-induced neuroinflammation.

In this paper, we examine the epidemiological model B-SIR, focusing on the dynamic law that governs the transmission rate B. We define this dynamic law by the differential equation B ′ / B = F ⊕ − F ⊖ , where F ⊖ represents a reaction factor reflecting the stress proportional to the active group's percentage variation. Conversely, F ⊕ is a factor proportional to the deviation of B from its intrinsic value. We introduce the notion of contagion impulse f and explore its role within the model. Specifically, for the case where F ⊕ = 0 , we derive an autonomous differential system linking the effective reproductive number with f and subsequently analyze its dynamics. This analysis provides new insights into the model's behavior and its implications for understanding disease transmission. [ABSTRACT FROM AUTHOR]

Using mathematical models to describe infectious diseases and then how to control and eliminate them by vaccines or other treatments, is a great help to public health organizations. Eradication of this category of diseases is possible when treatments are prescribed at the right time and with the right amount and process; In this regard, optimal control theory has been applied as a successful tool. The main purpose of this article is to review the existing literature considering such strategies in dealing with infectious diseases in the form of famous basic model SIR. For this purpose, this study, deal with the way to use the control functions and how to explain the provided solutions, indeed the aims are to investigate susceptible, infected and recovered populations in terms of the required goals, among the performed activities by evaluation and analyzing. Based on the number of used control variables in the treatment model, which indicate different methods of simultaneous prevention, including vaccination, treatment of infection, quarantine, and like that or, the type of model, this study has been categorized and the results are presented. Also, in this review, the methods of implementing models from numerical computation point of view and reality have also been discussed and time delay, stochastic and discrete time models in the case of SIR are also investigated. This review would help the researchers in order to have knowledge about the subject and activities carried out to continue research in this area very helpful. [ABSTRACT FROM AUTHOR]

We investigated the rise of nontuberculous mycobacteria (NTM) infections in Bulgaria, focusing on species identification and distribution from 2018 to 2022. Utilizing advanced diagnostic tools, including the Hain Mycobacterium CM/AS method, Myco-biochip assay, and whole-genome sequencing, the study identifies and characterizes a diverse range of Mycobacterium species from clinical samples. While M. avium, M. gordonae, M. fortuitum, and M. chelonae were dominating, a number of rare species were also found. They include such species as M. marseillense and M. celatum. Moreover, the noticeable prevalence of M. terrae complex species missed by conventional testing was observed. We identified a rare species, highly homologous to previously described strains from Japan; based on genome–genome distance data, we propose its reannotation as a new species. Further, a novel species was identified, which is significantly distinct from its closest neighbor, M. iranicum, with ANI = 87.18%. Based on the SeqCode procedure, we propose to name this new species Mycobacterium bulgaricum sp. nov. Dynamic changes in NTM species prevalence in Bulgaria observed from 2011 to 2022 highlight the emergence of new species and variations tied to environmental and demographic factors. This underscores the importance of accurate species identification and genotyping for understanding NTM epidemiology, informing public health strategies, and enhancing diagnostic accuracy and treatment protocols.

Background: Periprosthetic joint infection (PJI) is a devastating complication of arthroplasties that could occur during the surgery. The purpose of this study was to analyze the biofilm formation through microbiological culture tests and scanning electron microscopy (SEM) on the tip of surgical drainage removed 24 h after arthroplasty surgery. Methods: A total of 50 consecutive patients were included in the present prospective observational study. Drains were removed under total aseptic conditions twenty-four hours after surgery. The drain tip was cut in three equal parts of approximately 2–3 cm in length and sent for culture, culture after sonication, and SEM analysis. The degree of biofilm formation was determined using a SEM semi-quantitative scale. Results: From the microbiological analysis, the cultures of four samples were positive. The semi-quantitative SEM analysis showed that no patient had grade 4 of biofilm formation. A total of 8 patients (16%) had grade 3, and 14 patients (28%) had grade 2. Grade 1, scattered cocci with immature biofilm, was contemplated in 16 patients (32%). Finally, 12 patients (24%) had grade 0 with a total absence of bacteria. During the follow-up (up to 36 months), no patient showed short- or long-term infectious complications. Conclusions: Most of the patients who underwent primary total knee arthroplasty (TKA) showed biofilm formation on the tip of surgical drain 24 h after surgery even though none showed a mature biofilm formation (grade 4). Furthermore, 8% of patients were characterized by a positivity of culture analysis. However, none of the patients included in the study showed signs of PJI up to 3 years of follow-up. [ABSTRACT FROM AUTHOR]

Needle sticks injuries (NSIs) has caused many health concerns, including the widespread infection disease. Needle sticks injuries can have high threaten health human especially, all those who are in contact with health and medical centers. The purpose of this review study was the determination the effects of needle sticks injuries (NSIs) on health care worker and patents. In this a review study of literature studied conducted on international databases included Google Scholar, ISI/WOS (Web of Science), Springer, Scopus, Medline/PubMed. The literature signs a notable undesirable affect from potential needle sticks injuries related to ways to preventive and risks factors among patents and health care worker. The literature was shown needle stick injuries can cause with a variety of ways including needle recapping, non-standard safety boxes, thin gloves, and inadequate personal protective equipment. According to the result this study, needle stick injuries can transfer infectious disease (Human Immunodeficiency viruses [HIV], Hepatitis C virus [HCV]) and increase risk health on health care worker and patients. According to research related to the subject, the ways to prevent reduce needle sticks include personal protective equipment, holding retraining courses for medical staff in the direction to raise awareness can significantly reduce cases of needle sticks injuries. Further research using more sophisticated methodology is warranted. [ABSTRACT FROM AUTHOR]

Background: During the COVID-19 pandemic, restrictive measures can reduce physical activity. The purpose of this study was to evaluate predisease physical activity and current functional capacity in patients with and without the presence of pneumonia and oxygen requirement in Turkish survivors of COVID-19. Methods: Among the COVID-19 patients admitted to the hospital, 100 patients were selected. Data about predisease physical activity (by short-form International Physical Activity Questionnaire), oxygen requirement and presence of pneumonia, and current functional capacity (by the 6-min walking test) were collected. Continuous and categorical variables were compared with the Mann–Whitney U and χ2 test, respectively (P <.05). Results: The predisease physical activity levels and current functional capacity of patients with pneumonia and oxygen requirement were significantly lower than patients without pneumonia and oxygen requirement (P <.05). However, there was no significant difference between males and females (P > 0.05). Pneumonia and oxygen requirement was more common in the older adults (P <.05). Also, a significant correlation was found between age with predisease physical activity (r =.530, P =.000) and current functional capacity (r = −.346, P =.000) and predisease physical activity level with current functional capacity (r =.523, P =.001). Conclusion: The physical activity level may be related to the severity of COVID-19 disease. [ABSTRACT FROM AUTHOR]

In this paper, we examine the epidemiological model B-SIR, focusing on the dynamic law that governs the transmission rate B. We define this dynamic law by the differential equation B′/B=F⊕−F⊖, where F⊖ represents a reaction factor reflecting the stress proportional to the active group’s percentage variation. Conversely, F⊕ is a factor proportional to the deviation of B from its intrinsic value. We introduce the notion of contagion impulse f and explore its role within the model. Specifically, for the case where F⊕=0, we derive an autonomous differential system linking the effective reproductive number with f and subsequently analyze its dynamics. This analysis provides new insights into the model’s behavior and its implications for understanding disease transmission.

Objective: It is necessary to establish the evolution that the pandemic has had in Panama by weeks and months and to clearly establish the existence of surges or peaks, according to cases and deaths and the relationship with age groups. Methodology: We conducted a retrospective cohort study of all confirmed COVID-19 cases reported by the Ministry of Health of Panama during the first 3 years of the epidemic (March 9, 2020, March 11, 2023). All cases were obtained from information provided by the Ministry of Health. We obtained daily information of the population at the national level reported as new cases, deaths, admission to hospitals, admission to intensive care units and by age groups. The information is classified by epidemiological week and by month from the diagnosis of the first case until March 2023. Results: During the three years of the study, 1,032,316 cases of COVID-19 were registered in the Republic of Panama, and the number of deaths reported was 8,621, for a fatality rate of 0.83 % throughout that period. The number of deaths decreased over the 3 years of the pandemic; however, similar to the cases, there were periods of surges (peaks) per year in June/July and in December/January. The lethality progressively increased according to the age of the affected patients. During the first year, the lethality in those under 20 years of age was 0.05 %, and in those over 80 years old, it was 17.54 %. This pattern was maintained during the second year; however, there was a large decrease in all age groups. Conclusion: the highest lethality rate in Panama occurred in the first year of the pandemic, with a great decrease in the third year; the impact of lethality is proportional to the age of the individual, with a high possibility of death in those over 80 years of age. During each pandemic year, there are two peaks (surges of new cases and deaths) per year, which are important times to take into account to generate strategies aimed at reducing the impact.

IntroductionClinical observations have found that prolonged use of analgesics increases the incidence of infection. However, the direct causal relationship between prescription analgesic use (PAU) and risk of infection (ROI) remains unclear.MethodsThis study used Mendelian randomization (MR) design to estimate the causal effect of PAU on ROI, as well as their mediating factors. Genetic data on prescription analgesics use and immune cells were obtained from published GWAS. Additionally, data on ROI were extracted from the FinnGen database. Two-sample MR analysis and multivariate MR (MVMR) analysis were performed using inverse variance weighting (IVW) to ascertain the causal association between PAU and ROI. Finally, 731 immune cell phenotypes were analyzed for their mediating role between analgesics and infection.ResultsUsing two-sample MR, IVW modeling showed that genetically predicted opioid use was associated with increased risk of pulmonary infection (PI) (OR = 1.13, 95% CI: 1.05–1.21, p< 0.001) and upper respiratory infection (URI) (OR = 1.18, 95% CI: 1.08–1.30, p< 0.001); non-steroidal anti-inflammatory drugs (NSAIDs) were related to increased risk of skin and subcutaneous tissue infection (OR = 1.21, 95% CI: 1.05–1.39, p = 0.007), and antimigraine preparations were linked to a reduced risk of virus hepatitis (OR = 0.79, 95% CI: 0.69–0.91, p< 0.001). In MVMR, the association of opioids with URI and PI remained after accounting for cancer conditions. Even with a stricter threshold (p< 0.05/30), we found a significant causal association between opioids and respiratory infections (URI/PI). Finally, mediation analyses found that analgesics influence the ROI through different phenotypes of immune cells as mediators.ConclusionThis MR study provides new genetic evidence for the causal relationship between PAU and ROI, and the mediating role of immune cells was demonstrated.

A significant global health problem nowadays is the incidence of serious infectious illnesses. An extraordinary humanitarian crisis has been brought on by the current COVID-19 pandemic, which has spread around the world. The spread of new viruses has put established healthcare institutions under tremendous strain and created a number of pressing problems. It is important to predict the future movement and pattern of the illness in order to decrease infectious instances and maximize recovered cases. This research paper aims to utilize mobility tracking as a means to identify hotspots for contagious disease spread. The study focuses on collecting and analyzing mobility data from UNITEN students using Google Map data over a period of two weeks. The paper describes the data collection process, data pre-processing steps, and the application of the HDBSCAN algorithm for hotspot clustering. The results demonstrate the effectiveness of HDBSCAN in identifying hotspots based on the mobility data. The findings highlight the potential of mobility tracking for disease surveillance and provide insights for public health interventions and preventive measures. [ABSTRACT FROM AUTHOR]

Abstract Background The Japanese government has restricted people’s going-out behavior by declaring a non-punitive state of emergency several times under COVID-19. This study aims to analyze how multiple policy interventions that impose non-legally binding restrictions on behavior associate with people’s going-out. Theory This study models the stigma model of self-restraint behavior under the pandemic with habituation effects. The theoretical result indicates that the state of emergency’s self-restraint effects weaken with the number of times. Methods The empirical analysis examines the impact of emergency declarations on going-out behavior using a prefecture-level daily panel dataset. The dataset includes Google’s going-out behavior data, the Japanese government’s policy interventions based on emergency declarations, and covariates that affect going-out behavior, such as weather and holidays. Results First, for multiple emergency declarations from the beginning of the pandemic to 2021, the negative association between emergency declarations and mobility was confirmed in a model that did not distinguish the number of emergency declarations. Second, in the model that considers the number of declarations, the negative association was found to decrease with the number of declarations. Conclusion These empirical analyses are consistent with the results of theoretical analyses, which show that the negative association between people’s going-out behavior and emergency declarations decreases in magnitude as the number of declarations increases.

In this study we propose an agent-based SEIR model by taking agents' heterogeneous mobilities into account. By using the actual human flow data between each district of Tokyo, we create behavior scenarios for every agent in the model. After calibrating the risk of infection in each region using DE (differential evolution), we were able to reproduce the realistic number of positive cases not only for the entire Tokyo metropolitan area but also for each of the 23 districts, with an NRMSD of less than 0.05. [ABSTRACT FROM AUTHOR]

Background: Periprosthetic joint infection (PJI) is a devastating complication of arthroplasties that could occur during the surgery. The purpose of this study was to analyze the biofilm formation through microbiological culture tests and scanning electron microscopy (SEM) on the tip of surgical drainage removed 24 h after arthroplasty surgery. Methods: A total of 50 consecutive patients were included in the present prospective observational study. Drains were removed under total aseptic conditions twenty-four hours after surgery. The drain tip was cut in three equal parts of approximately 2–3 cm in length and sent for culture, culture after sonication, and SEM analysis. The degree of biofilm formation was determined using a SEM semi-quantitative scale. Results: From the microbiological analysis, the cultures of four samples were positive. The semi-quantitative SEM analysis showed that no patient had grade 4 of biofilm formation. A total of 8 patients (16%) had grade 3, and 14 patients (28%) had grade 2. Grade 1, scattered cocci with immature biofilm, was contemplated in 16 patients (32%). Finally, 12 patients (24%) had grade 0 with a total absence of bacteria. During the follow-up (up to 36 months), no patient showed short- or long-term infectious complications. Conclusions: Most of the patients who underwent primary total knee arthroplasty (TKA) showed biofilm formation on the tip of surgical drain 24 h after surgery even though none showed a mature biofilm formation (grade 4). Furthermore, 8% of patients were characterized by a positivity of culture analysis. However, none of the patients included in the study showed signs of PJI up to 3 years of follow-up.

The primary aims of this study are to examine associations between obesity-related eating behaviors (OEB) and chronic and infectious diseases, and mental disorders. A representative nationwide survey was used to collect information among 11,659 medical students from 31 universities in China. Multiple variable logistic regression analysis was conducted to examine the associations between OEB and the diseases. The multiple variable logistic regression model found that OEB was significantly associated with chronic disease (OR (Odds Ratio): 1.74 ), infectious disease (OR: 3.37 ), and mental disorder (OR: 1.87( ). These findings underscore the importance of addressing OEB in programs and policies to promote health and prevent disease among university students.

Background: The Japanese government has restricted people's going-out behavior by declaring a non-punitive state of emergency several times under COVID-19. This study aims to analyze how multiple policy interventions that impose non-legally binding restrictions on behavior associate with people's going-out. Theory: This study models the stigma model of self-restraint behavior under the pandemic with habituation effects. The theoretical result indicates that the state of emergency's self-restraint effects weaken with the number of times. Methods: The empirical analysis examines the impact of emergency declarations on going-out behavior using a prefecture-level daily panel dataset. The dataset includes Google's going-out behavior data, the Japanese government's policy interventions based on emergency declarations, and covariates that affect going-out behavior, such as weather and holidays. Results: First, for multiple emergency declarations from the beginning of the pandemic to 2021, the negative association between emergency declarations and mobility was confirmed in a model that did not distinguish the number of emergency declarations. Second, in the model that considers the number of declarations, the negative association was found to decrease with the number of declarations. Conclusion: These empirical analyses are consistent with the results of theoretical analyses, which show that the negative association between people's going-out behavior and emergency declarations decreases in magnitude as the number of declarations increases. [ABSTRACT FROM AUTHOR]

Liposomes are promising targeted drug delivery systems with the potential to improve the efficacy and safety profile of certain classes of drugs. Though attractive, there are unique analytical challenges associated with the development of liposomal drugs including human dose prediction given these are multi-component drug delivery systems. In this study, we developed a multimodal imaging approach to provide a comprehensive distribution assessment for an antibacterial drug, GSK2485680, delivered as a liposomal formulation (Lipo680) in a mouse thigh model of bacterial infection to support human dose prediction. Positron emission tomography (PET) imaging was used to track the in vivo biodistribution of Lipo680 over 48 h post-injection providing a clear assessment of the uptake in various tissues and, importantly, the selective accumulation at the site of infection. In addition, a pharmacokinetic model was created to evaluate the kinetics of Lipo680 in different tissues. Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) was then used to quantify the distribution of GSK2485680 and to qualitatively assess the distribution of a liposomal lipid throughout sections of infected and non-infected hindlimb tissues at high spatial resolution. Through the combination of both PET and MALDI IMS, we observed excellent correlation between the Lipo680-radionuclide signal detected by PET with the GSK2485680 and lipid component signals detected by MALDI IMS. This multimodal translational method can reduce drug attrition by generating comprehensive biodistribution profiles of drug delivery systems to provide mechanistic insight and elucidate safety concerns. Liposomal formulations have potential to deliver therapeutics across a broad array of different indications, and this work serves as a template to aid in delivering future liposomal drugs to the clinic. [Display omitted] [ABSTRACT FROM AUTHOR]

Backgrounds: Morbus Hansen or leprosy is a chronic granulomatous infectious disease caused by the obligate intracellular Mycobacterium leprae bacillus. Leprosy can cause loss of sensation in the skin with or without lesions and body dysfunction during the course of the disease. In Aceh, there were 337 new cases of leprosy in 2019 and this was the highest case in Sumatra. Purpose: To analyze the profile of leprosy patients in the Department of Dermatology and Venereology of RSUDZA Banda Aceh. Methods: Observational descriptive study with retrospective design, using medical record of leprosy patients who visited Dermatology and Venereology Outpatient Clinic RSUDZA Banda Aceh for the period of January 2017 – December 2021. Result: A total of 183 leprosy patients were obtained from the study. Most cases occured in male patients (68.3%), the majority was in the 18-40 year age group (60.1%), most patients live outside of Banda Aceh (71%). The most frequently reported type of leprosy was the multibacillary type (71.6%). Leprosy patients without disability were 35.5%, the majority did not experience a leprosy reaction (71%), the most common morphology of the lesion was erythematous (29.5%), and the highest proportion of the bacteriological and morphological index was negative (46.4% and 50.8% respectively). Conclusion: The diagnosis of leprosy was based on clinical, bacteriological, and histopathological features. Early diagnosis, patient access to treatment, early initiation of treatment and adherence to therapy would reduce the disease transmission thus would decrease the prevalence of leprosy in Aceh.

[Display omitted] • FcRn's Emerging Role: Significance in mucosal infection and immunity. • Comprehensive Therapies: Fc-fusion proteins for infections, FcRn inhibitors for autoimmune disorders. • Original Insights: Fresh perspectives on FcRn's therapeutic potential. The neonatal Fc receptor (FcRn) can transport IgG and antigen–antibody complexes participating in mucosal immune responses that protect the host from most pathogens' invasion via the respiratory, digestive, and urogenital tracts. FcRn expression can be triggered upon stimulation with pathogenic invasion on mucosal surfaces, which may significantly modulate the innate immune response of the host. As an immunoglobulin transport receptor, FcRn is implicated in the pathophysiology of immune-related diseases such as infection and autoimmune disorders. In this review, we thoroughly summarize the recent advancement of FcRn in mucosal immunity and its therapeutic strategy. This includes insights into its regulation mechanisms of FcRn expression influenced by pathogens, its emerging role in mucosal immunity and its potential probability as a therapeutic target in infection and autoimmune diseases. [ABSTRACT FROM AUTHOR]

Introduction: Corona Virus Infection Disease (COVID-19) refers to the infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Most of COVID-19 survivors have residual symptoms after being discharged from the hospital, it then leads to the decreased lung function and quality of life (QoL). Pulmonary rehabilitation is essential because it can reduce the impact of these sequelae. This study aimed to determine the effectiveness of pulmonary rehabilitation in improving lung function among adult patients of COVID-19 survivors. Methods: This study was conducted using 5 databases, namely: CINAHL, PubMed, SAGE, Science Direct, and Scopus from 1 April 2020 to 30 September 2021. The combination of keywords used was: "Pulmonary Rehabilitation", “Pulmonary Function", and "Post-COVID-19". In assessing the bias and methodological quality of the articles obtained, this study used the Joanna Briggs Institute (JBI) critical appraisal checklist tools. Results: From 678 articles, 11 research articles met the criteria. Pulmonary rehabilitation performed in post-COVID-19 patients included the provision of aerobic exercise, breathing exercises, strength training, balance exercises, relaxation, occupational therapy, psychological support, and nutrition consultation. Lung rehabilitation mainly was performed two sessions a week for 3-8 weeks with different proportions for each patient according to clinical conditions and ability limits. Spirometry and the 6-minute walk test (6MWT) revealed that patients who completed the pulmonary rehabilitation program experienced improvements in their lung function. Conclusion: Comprehensive pulmonary rehabilitation programs under supervision and psychotherapists are the right choice in improving lung function among COVID-19 survivor adult patients.

Aim: To investigate the current condition and degree of fear of disease progression and associated factors in patients with mild or common type COVID‐19. Background: At the end of 2019, COVID‐19 spread from Wuhan in Hubei Province throughout China. Confirmed cases and deaths have since been reported in many countries around the world. However, fear of progression in these patients has been poorly explored. Methods: During February 2020, we recruited 114 patients with mild or common type COVID‐19 admitted to a Fangcang shelter hospital. We assessed patients' degree of fear using the simplified Fear of Progression Questionnaire (Chinese version). Multiple regression analysis was applied to explore potential factors. Results: The fear of disease progression scores of patients with mild or common COVID‐19 was at the low‐to‐moderate level. Current unemployment, disease duration of 28 days or more and not having a spouse diagnosed with COVID‐19 were factors potentially associated with fear of progression. Conclusion: With a high prevalence of fear of disease progression in patients with COVID‐19, the risk of psychological effects from the pandemic is significant and fear of progression is one of the manifestations. The need for psychological support services for patients should be included in all pandemic and disaster planning. Summary statement: What is already known about this topic? Fear of progression is a common bio‐socio‐psychological consequence that widespread in cancer patients as well as chronic diseases.Very few studies focus on fear of progression in patients with major infectious disease, not to mention coronavirus disease (COVID‐19). What this paper adds? The present study surveys fear of progression in patients with mild or common type COVID‐19 and revealed a low‐to‐moderate level overall.Being unemployed, having no spouse diagnosed with COVID‐19, and a disease duration of 28 days or more are potential factors associated to patients' fear of the disease progression. The implications of this paper: The COVID‐19 outbreak has been declared as a public health emergency of international concern. Mental health problems such as fear of disease progression might need more attention beyond medical treatment.Future mental health nursing practice and research need to focus on those potential factors or patients with specific characteristics. [ABSTRACT FROM AUTHOR]

Introduction: Coronavirus Disease-2019 (COVID-19) has affected nursing staff and students mentally and physically due to their role in the frontline fighting the virus. However, data on the effect of COVID-19 on nursing students are limited and there have been no studies about Saudi nursing intern experience during this crisis. Aim: To explore the impact of COVID-19 pandemic on nursing students during their interns at hospitals and how they dealt with the COVID-19 pandemic. Materials and Methods: A qualitative descriptive study was done where 12 interviews were conducted among nursing student at the Nursing Department in the College of Applied Medical Science at Taif University, Taif, Saudi Arabia. The study was conducted from January 01 to April 10, 2021. The descriptive method was used to collect, understand, organise and represent in depth data. All the nursing student participants were interns and started their intern programmes during the COVID-19 pandemic. All interviews were auto-recorded, transcribed and analysed using a thematic method. Results: The four themes which emerged from findings were: student plans during COVID-19; students' perspectives of the nursing profession; intern students' mental states; and hospital roles. Conclusion: While the virus may negatively affect the experience of nursing intern students, the support of the media and society towards nursing staff during the pandemic has encouraged them significantly. So this study recommended that nursing stakeholders collaborate with the media to create greater interaction and embrace the nursing profession for younger generations. [ABSTRACT FROM AUTHOR]

This research work introduces a new intelligent framework for infectious disease detection by exploring various emerging and intelligent paradigms. We propose new deep learning architectures such as entity embedding networks, long-short term memory, and convolution neural networks, for accurately learning heterogeneous medical data in identifying disease infection. The multi-agent system is also consolidated for increasing the autonomy behaviours of the proposed framework, where each agent can easily share the derived learning outputs with the other agents in the system. Furthermore, evolutionary computation algorithms, such as memetic algorithms, and bee swarm optimization controlled the exploration of the hyper-optimization parameter space of the proposed framework. Intensive experimentation has been established on medical data. Strong results obtained confirm the superiority of our framework against the solutions that are state of the art, in both detection rate, and runtime performance, where the detection rate reaches 98% for handling real use cases. [ABSTRACT FROM AUTHOR]

Cystic echinococcosis (CE) is a chronic, complex, zoonotic disease caused by Echinococcus Granulose tapeworms. The disease may present with a variety of symptoms, ranging from asymptomatic to fatal. Surgical intervention is the primary treatment modality for CE. Despite advances in surgical techniques and chemotherapy, disease recurrence remains a major concern. Therefore, we aimed to determine the true rate of CE recurrence after primary resection and identify possible factors that increase the risk of recurrence. A systematic search of Medline, PubMed, Embase, and Cochran Library was conducted to identify studies reporting the incidence of CE recurrence after primary radical surgery. Data were pooled using random effect models. The disease prevalence was determined by calculating the ratio of CE recurrence and the total number of patients. A meta-regression was conducted to identify any potential factors linked to recurrence. A total of 38 eligible studies, with a total of 6,222 CE patients who underwent primary surgical removal, revealed a pooled recurrence rate of 8% (95% CI: 6%-10%). However, significant heterogeneity was observed (I2 p-value <0.001). Subgroup analysis by region showed the highest incidence of recurrence in European and Turkish studies, with rates of 11% (95% CI: 7%-17%) and 9% (95% CI: 5%-14%), respectively. The lowest recurrence rate was observed in Asian studies, with a rate of 4% (95% CI: 2%-7%). Moreover, the non-radical intervention has a recurrence of 5% (95%CI: 4%-7%), radical 7% (95%CI: 6%-9%), and studies that contained both interventions have 10% (95%CI: 6%-16%), P-value= 0.04. This is the first meta-analysis to evaluate the overall incidence of CE recurrence after primary surgical removal. The study also revealed a substantial degree of heterogeneity across the included studies and indicated possible risk factors for higher recurrence rates, such as the study's geographic area, type of surgery and the year it was published. These findings will help to guide future research in developing effective strategies to prevent or reduce CE recurrence and improve patient outcomes., Competing Interests: Declaration of competing interest The authors declare that they have no conflicts of interest., (Copyright © 2024 Asian Surgical Association and Taiwan Society of Coloproctology. Published by Elsevier B.V. All rights reserved.)

Highlight Research: • It has been found that many fish died with wounds from farmers in Blitar, Indonesia. • The mucosal smear test from mucosal gills of C. carpio infected with Myxobolus. • In the blood smear test of C. carpio, there was no myxobolus found in the blood. • In gill organ testing using SEM that Myxobolus is found in gills (C. carpio). • The shape of Myxobolus resembles an imperfect ball with a hollow in the middle. Abstract The biggest problem that is often considered to be an obstacle to Common carp culture is the emergence of disease attacks. One type of disease that often attacks the seeds of Cyprinus carpio is Myxobolus (a systemic parasite that can cause harm to fish farming). The aim of this study was to determine the molecular expression through the smear test on C. carpio gills, to determine the image of the gill organs of C. carpio using the SEM test, and to determine the description of the spores of Myxobolus sp. Data were analyzed using descriptive methods. Descriptive method used was comparative descriptive comparing molecular expression in the test of gill mucosal smear of fish using a light microscope and gill organ testing using Scanning Electron Microscope (SEM) on C. carpio infected by Myxobolus sp. In this study, the results showed that in C. carpio infected with true Myxobolus found the presence of Myxobolus in the mucosal smear test and SEM test on gill tissue, but not found in the blood smear test.

Introduction: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the cause of clinical disease, better known as COVID-19. The most common method to detect COVID-19 is serological testing of IgM and IgG in response to viral infections using rapid diagnostic test (RDT). Several other guidelines consider polymerase chain reaction (PCR) as the gold standard for diagnosis becausePCR has high sensitivity and specificity values in detecting SARS-CoV-2. Methods: This was a descriptive analytical study. The samples were taken from medical records of COVID-19 patients in Ulin General Hospital Banjarmasin from March to October 2020. Statistical Package for the Social Sciences (SPSS) 16.0 software and Chi-Square test were used for data analysis. Results: From 751 COVID-19 patients, 408 patients (54.32%) had rapid antibody with positive PCR, 132 patients (17.57%) had reactive rapid antibody with negative PCR, 152 patients (20.23%) had non-reactive rapid antibody with positive PCR, and 59 patients (7.85%) had non-reactive rapid antibody with negative PCR. The rapid antibody had sensitivity of 72.85% and specificity of 30.89%. From Chi-Square test, reactive rapid antibody was not correlated with PCR positive results; values of p = 0.320, odds ratio (OR) 1.20. Conclusion: The rapid test antibody could not be recommended as a diagnostic tool. In this study, it was also found that there was no relationship between reactive rapid test results and positive SARS-CoV PCR.

Introduction: Coronavirus Disease 2019 (COVID-19) pandemic is caused by SARS-CoV-2 which spreads rapidly throughout the world and causes clinical manifestations in various organs, especially in the lungs. Clinical symptoms arise from asymptomatic, mild, moderate, severe, and critical symptoms in patients with or without comorbid disease. Chest X-ray examination is one of the modalities in the management of COVID-19 which is cheap and easy to do. Methods: This study was performed by analyzing medical record data of confirmed COVID-19 patients from March to December 2020. This study aimed to examine the relationship between chest X-ray and the degree of disease severity. Results: The results showed that from the examined 542 total samples, the highest number was found in the age group of 40-49 years old (23.6%), women (53%), mild degree of COVID-19 (67.9%), normal chest X-ray (54.6%), predominance on the lower zone of the lung, peripheral and bilateral on abnormal chest X-ray, no comorbid (56.3%), hypertensive in comorbid disease (26.6%). There was a significant relationship between chest X-ray and comorbidity towards COVID-19 severity (p = 0.000). Conclusion:Chest X-ray can determine disease severity, therefore it can be used as the first modality for triage and treatment evaluation in COVID-19 patients.

Introduction: Gastrointestinal tuberculosis (GI TB) is quite rare with 3% incidence of all extrapulmonary involvement. Appendicular TB may occur in 0.1 - 3% of cases. Diagnosis is often difficult because the patient usually complains about chronic abdominal pain and fever. A definite diagnosis is based on histopathological examination of resected specimens from the appendectomy procedure. Case: We present a 37-year-old male patient admitted to the hospital with chronic abdominal pain, fever, nausea, and loss of body weight. The patient never had a persistent cough, hemoptysis, or night sweating. Physical examination showed pain and muscular rigidity in the right iliac area during palpation with Blumberg's sign and Rovsing's sign positive. Abdomen ultrasound imaging showed an appendicular abscess. The patient underwent appendectomy afterwards with histopathology result showing TB. The patient was treated with first category anti-tuberculosis drugs (ATD). Discussion: Diagnosis of appendicular TB is difficult due to unspecific clinical presentations. Appendicular TB patients often complain of signs and symptoms which are similar to acute appendicitis. These conditions can delay ATD treatment because the definitive diagnosis could be made after histopathological examination. Summary: Appendicular TB is a rare case of extrapulmonary TB. It can present as acute appendicitis. The definitive diagnosis is based on the histopathological examination. It is recommended to check the appendicectomy specimens histopathologically to exclude TB or other diseases.

Introduction: Coronavirus Disease-2019 (COVID-19) has affected nursing staff and students mentally and physically due to their role in the frontline fighting the virus. However, data on the effect of COVID-19 on nursing students are limited and there have been no studies about Saudi nursing intern experience during this crisis. Aim: To explore the impact of COVID-19 pandemic on nursing students during their interns at hospitals and how they dealt with the COVID-19 pandemic. Materials and Methods: A qualitative descriptive study was done where 12 interviews were conducted among nursing student at the Nursing Department in the College of Applied Medical Science at Taif University, Taif, Saudi Arabia. The study was conducted from 1st January 2021 to 10th April 2021. The descriptive method was used to collect, understand, organise and represent in depth data. All the nursing student participants were interns and started their intern programmes during the COVID-19 pandemic. All interviews were auto-recorded, transcribed and analysed using a thematic method. Results: The four themes which emerged from findings were: student plans during COVID-19; students’ perspectives of the nursing profession; intern students’ mental states; and hospital roles. Conclusion: While the virus may negatively affect the experience of nursing intern students, the support of the media and society towards nursing staff during the pandemic has encouraged them significantly. So this study recommended that nursing stakeholders collaborate with the media to create greater interaction and embrace the nursing profession for younger generations.

Background: A prosthetic joint infection (PJI) is a devastating complication following total joint arthroplasties with poor prognosis. Identifying an accurate and prompt diagnostic method is particularly important for PJI. Recently, the diagnostic value of metagenomic next-generation sequencing (mNGS) in detecting PJI has attracted much attention, while the evidence of its accuracy is quite limited. Thus, this study aimed to evaluate the accuracy of mNGS for the diagnosis of PJI. Methods: We summarized published studies to identify the potential diagnostic value of mNGS for PJI patients by searching online databases using keywords such as "prosthetic joint infection", "PJI", and "metagenomic sequencing". Ten of 380 studies with 955 patients in total were included. The included studies provided sufficient data for the completion of 2-by-2 tables. We calculated the sensitivity, specificity, and area under the SROC curve (AUC) to evaluate mNGS for PJI diagnosis. Results: We found that the pooled diagnostic sensitivity and specificity of mNGS for PJI were 0.93 (95% CI, 0.83 to 0.97) and 0.95 (95% CI, 0.92 to 0.97), respectively. Positive and negative likelihood ratios were 18.3 (95% CI, 10.9 to 30.6) and 0.07 (95% CI, 0.03 to 0.18), respectively. The area under the curve was 0.96 (95% CI, 0.93 to 0.97). Conclusion: Metagenomic next-generation sequencing displays high accuracy in the diagnosis of PJI, especially for culture-negative cases. [ABSTRACT FROM AUTHOR]

Dehydroepiandrosterone (DHEA) is an androgen synthesized by the adrenal cortex, which is an intermediary in the biosynthesis of sex hormones, such as testosterone and estradiol. DHEA mostly circulates as a conjugated ester, in the form of sulfate (DHEA-S). There exist several endogenous factors able to influence its synthesis, the most common ones being the corticotrophin-releasing hormone (CRH), adrenocorticotrophin (ACTH), growth factors, and proinflammatory cytokines, among others. Like other steroid hormones, DHEA, can alter the functioning of immune cells and therefore the course of diseases exhibiting an immune-inflammatory component, mostly from autoimmune or infectious nature. We herein review the role played by DHEA during a major infectious disease like tuberculosis (TB). Data recorded from TB patients, mouse models, or in vitro studies show that DHEA is likely to be implied in better disease control. This provides a stimulating background for carrying out clinical studies aimed at assessing the usefulness of DHEA as an adjuvant in TB patients. [ABSTRACT FROM AUTHOR]

To contain the outbreak of COVID-19 in Wuhan, unprecedented interventions, including city lockdown and community closure, have been implemented. However, most of the current studies focused on evaluation of the city lockdown, but paid limited attention to the impacts of the community containment measures within the city. This research addressed this important issue from the perspective of urban planning, based on the epidemic and remote sensing data of 194 communities of Wuhan. We found that the number of confirmed cases of communities is highly related to urban planning factors, e.g. area percentage of buildings and density of neighboring markets. These factors are relevant to the residents’ activity patterns, which therefore impact the mode of virus transmission. Our research confirmed the effectiveness of the community-oriented control strategies, provided a valuable reference for other cities that are suffering from the epidemic, and exhibited new thoughts into future urban planning.

In addition to habitat loss and fragmentation, behavioral traits and the deterioration of water environments also contribute to the local extinction of amphibians. Abundant microflora in urban ponds may cause fatal diseases, whereas symbiotic bacteria may protect the host from pathogens; these effects may vary with group size. In this study, I monitored the growth of Japanese common toad (Bufo japonicus) larvae in Tokyo using three different group sizes: 1 (solitary), 2 (pair), and 15. Although there was no genetic bias in the major histocompatibility complex (MHC) class II genes or microsatellite loci to the survival of the larvae, the mortality risk of the larvae reared in pond water was higher than that of those reared in tap water. According to the survival analysis, the risk was more significant when the group size was 15. This result would be unwelcomed for the B. japonicus tadpoles, which have habits of social aggregation. Furthermore, larval metamorphosis took longer to complete in pond than tap water without any difference in body length or mass. These findings provide fundamental insight into the impact of the aquatic environment and the effect of the group size on animal health and conservation.

Dehydroepiandrosterone (DHEA) is an androgen synthesized by the adrenal cortex, which is an intermediary in the biosynthesis of sex hormones, such as testosterone and estradiol. DHEA mostly circulates as a conjugated ester, in the form of sulfate (DHEA-S). There exist several endogenous factors able to influence its synthesis, the most common ones being the corticotrophin-releasing hormone (CRH), adrenocorticotrophin (ACTH), growth factors, and proinflammatory cytokines, among others. Like other steroid hormones, DHEA, can alter the functioning of immune cells and therefore the course of diseases exhibiting an immune-inflammatory component, mostly from autoimmune or infectious nature. We herein review the role played by DHEA during a major infectious disease like tuberculosis (TB). Data recorded from TB patients, mouse models, or in vitro studies show that DHEA is likely to be implied in better disease control. This provides a stimulating background for carrying out clinical studies aimed at assessing the usefulness of DHEA as an adjuvant in TB patients.

BackgroundA prosthetic joint infection (PJI) is a devastating complication following total joint arthroplasties with poor prognosis. Identifying an accurate and prompt diagnostic method is particularly important for PJI. Recently, the diagnostic value of metagenomic next-generation sequencing (mNGS) in detecting PJI has attracted much attention, while the evidence of its accuracy is quite limited. Thus, this study aimed to evaluate the accuracy of mNGS for the diagnosis of PJI.MethodsWe summarized published studies to identify the potential diagnostic value of mNGS for PJI patients by searching online databases using keywords such as “prosthetic joint infection”, “PJI”, and “metagenomic sequencing”. Ten of 380 studies with 955 patients in total were included. The included studies provided sufficient data for the completion of 2-by-2 tables. We calculated the sensitivity, specificity, and area under the SROC curve (AUC) to evaluate mNGS for PJI diagnosis.ResultsWe found that the pooled diagnostic sensitivity and specificity of mNGS for PJI were 0.93 (95% CI, 0.83 to 0.97) and 0.95 (95% CI, 0.92 to 0.97), respectively. Positive and negative likelihood ratios were 18.3 (95% CI, 10.9 to 30.6) and 0.07 (95% CI, 0.03 to 0.18), respectively. The area under the curve was 0.96 (95% CI, 0.93 to 0.97).ConclusionMetagenomic next-generation sequencing displays high accuracy in the diagnosis of PJI, especially for culture-negative cases.

Cleaning workers was one of high risk workers in Covid-19 infection who exposed to garbage from individuals, households and business waste every day. During Covid-19 pandemic there was increased disposal of infectious waste such as masks and gloves from households without sorting process which increasing risk of infection for cleaning workers. Preventive effort of cleaning workers was needed as vigilance in daily activities. Therefore, an education was carried out about prevention of infectious disease related Covid-19 pandemic to improving knowledge and understanding of cleaning workers as preventive measure. Education program was carried out to 50 cleaning workers in Environmental Department of Padang on 29-30 June 2020. Modules, videos, and demonstrations procedures of hand washing, mask and glove using were used in these educations. Education program consist of basic concepts and preventive measures against infectious disease related Covid-19 pandemic. The results showed there was increased knowledge of cleaning workers about preventive way against infectious disease related Covid-19 pandemic after participating in education program.

Introduction: This study evaluated the detection of monthly human mobility clusters and characteristics of cluster areas before the coronavirus disease 2019 (COVID-19) outbreak using spatial epidemiological methods, namely, spatial scan statistics and geographic information systems (GIS)., Methods: The research area covers approximately 10.3 km 2 , with a population of about 350,000 people. Analysis was conducted using open data, with the exception of one dataset. Human mobility and population data were used on a 1-km mesh scale, and business location data were used to examine the area characteristics. Data from January to December 2019 were utilized to detect human mobility clusters before the COVID-19 pandemic. Spatial scan statistics were performed using SaTScan to calculate relative risk (RR). The detected clusters and other data were visualized in QGIS to explore the features of the cluster areas., Results: Spatial scan statistics identified 33 clusters. The detailed analysis focused on clusters with an RR exceeding 1.5. Meshes with an RR over 1.5 included one with clusters for 1 year which is identified in all months of the year, one with clusters for 9 months, three with clusters for 6 months, three with clusters for 3 months, and four with clusters for 1 month. September had the highest number of clusters (eight), followed by April and November (seven each). The remaining months had five or six clusters. Characteristically, the cluster areas included the vicinity of railway stations, densely populated business areas, ball game fields, and large-scale construction sites., Conclusions: Statistical analysis of human mobility clusters using open data and open-source tools is crucial for the advancement of evidence-based policymaking based on scientific facts, not only for novel infectious diseases but also for existing ones, such as influenza., Competing Interests: None, (Copyright © Japan Medical Association.)

Background: Herpes simplex virus type 1 (HSV-1), known to latently infect the host's trigeminal ganglion, can lead to severe herpes encephalitis or asymptomatic infection, potentially contributing to neurodegenerative diseases like Alzheimer's. The virus generates reactive oxygen species (ROS) that significantly impact viral replication and induce chronic inflammation through NF-κB activation. Nuclear factor E2-related factor 2 (Nrf2), an oxidative stress regulator, can prevent and treat HSV-1 infection by activating the passive defense response in the early stages of infection., Methods and Results: Our study investigated the antiviral effects of ginsenoside Rg5, an Nrf2 activator, on HSV-1 replication and several host cell signaling pathways. We found that HSV-1 infection inhibited Nrf2 activity in host cells, induced ROS/NF-κB signaling, and triggered inflammatory cytokines. However, treatment with ginsenoside Rg5 inhibited ROS/NF-κB signaling and reduced inflammatory cytokines through NRF2 induction. Interestingly, the Nrf2 inhibitor ML385 suppressed the expression of NAD(P)H quinone oxidoreductase 1(NQO1) and enhanced the expression of KEAP1 in HSV-1 infected cells. This led to the reversal of VP16 expression inhibition, a protein factor associated with HSV-1 infection, thereby promoting HSV-1 replication., Conclusion: These findings suggest for the first time that ginsenoside Rg5 may serve as an antiviral against HSV-1 infection and could be a novel therapeutic agent for HSV-1-induced neuroinflammation., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Korean Society of Ginseng. Publishing services by Elsevier B.V.)

Forecasting is a method that is often used to view future events using past time data. Past time data have useful information to use in obtaining the future. The aim of this study was to forecast infection fatality rate (IFR) of COVID-19 in Brazil using NNAR and ARIMA. ARIMA and NNAR are used because (1) ARIMA is a simple stochastic time series method that can be used to train and predict future time points and ARIMA also capable of capturing dynamic interactions when it uses error terms and observations of lagged terms; (2) the Artificial Neural Network (ANN) is a technique capable of analyzing certain non-linear interactions between input regressor and responses, and Neural Network Time Series (NNAR) is one method of ANN in which lagged time series values were used as inputs to a neural network. Data included in this study were derived from the total data of confirmed cases and the total data of death of COVID-19. The data of COVID-19 in Brazil from February 15, 2020 to April 30, 2020 were collected from the Worldometer (https://www.worldometers.info/coronavirus/) and Microsoft Excel 2013 was used to build a time-series table. Forecasting was accomplished by means of a time series package (forecast package) in R Software. Neural Network Time Series and ARIMA models were applied to a dataset consisting of 76 days. The accuracy of forecasting was examined by means of an MSE. The forecast of IFR of COVID-19 in Brazil from May 01, 2020 to May 10, 2020 with NNAR (1,1) model was around in 6,85% and ARIMA (0,2,1) was around in 7.11%.

This paper presents a forecasting model for the mortality rates of COVID-19 in six of the top most affected countries depending on the hybrid Genetic Algorithm and Autoregressive Integrated Moving Average (GA-ARIMA). It was aimed to develop an advanced and reliable predicting model that provides future forecasts of possible confirmed cases and mortality rates (Total Deaths per 1 million Population of COVID-19) that could help the public health authorities to develop plans required to resolve the crisis of the pandemic threat in a timely and efficient manner. The study focused on predicting the mortality rates of COVID-19 because the mortality rate determines the prevalence of highly contagious diseases. The Genetic algorithm (GA) has the capability of improving the forecasting performance of the ARIMA model by optimizing the ARIMA model parameters. The findings of this study revealed the high prediction accuracy of the proposed (GA-ARIMA) model. Moreover, it has provided better and consistent predictions compared to the traditional ARIMA model and can be a reliable method in predicting expected death rates as well as confirmed cases of COVID-19. Hence, it was concluded that combining ARIMA with GA is further accurate than ARIMA alone and GA can be an alternative to find the parameters and model orders for the ARIMA model. [ABSTRACT FROM AUTHOR]

Leucocyte- and platelet rich fibrin (L-PRF) is an autologous biomaterial used in regenerative procedures. It has an antimicrobial activity against P. gingivalis although the mechanism is not fully understood. It was hypothesized that L-PRF exudate releases hydrogen peroxide and antimicrobial peptides that inhibit P. gingivalis growth. Agar plate and planktonic culture experiments showed that the antimicrobial effect of L-PRF exudate against P. gingivalis was supressed by peroxidase or pepsin exposure. In developing multi-species biofilms, the antimicrobial effect of L-PRF exudate was blocked only by peroxidase, increasing P. gingivalis growth with 1.3 log genome equivalents. However, no effect was shown on other bacteria. Pre-formed multi-species biofilm trials showed no antimicrobial effect of L-PRF exudate against P. gingivalis or other species. Our findings showed that L-PRF exudate may release peroxide and peptides, which may be responsible for its antimicrobial effect against P. gingivalis. In addition, L-PRF exudate had an antimicrobial effect against P. gingivalis in an in vitro developing multi-species biofilm. [ABSTRACT FROM AUTHOR]

To contain the outbreak of COVID-19 in Wuhan, unprecedented interventions, including city lockdown and community closure, have been implemented. However, most of the current studies focused on evaluation of the city lockdown, but paid limited attention to the impacts of the community containment measures within the city. This research addressed this important issue from the perspective of urban planning, based on the epidemic and remote sensing data of 194 communities of Wuhan. We found that the number of confirmed cases of communities is highly related to urban planning factors, e.g. area percentage of buildings and density of neighboring markets. These factors are relevant to the residents' activity patterns, which therefore impact the mode of virus transmission. Our research confirmed the effectiveness of the community-oriented control strategies, provided a valuable reference for other cities that are suffering from the epidemic, and exhibited new thoughts into future urban planning. [ABSTRACT FROM AUTHOR]

Leucocyte- and platelet rich fibrin (L-PRF) is an autologous biomaterial used in regenerative procedures. It has an antimicrobial activity against P. gingivalis although the mechanism is not fully understood. It was hypothesized that L-PRF exudate releases hydrogen peroxide and antimicrobial peptides that inhibit P. gingivalis growth. Agar plate and planktonic culture experiments showed that the antimicrobial effect of L-PRF exudate against P. gingivalis was supressed by peroxidase or pepsin exposure. In developing multi-species biofilms, the antimicrobial effect of L-PRF exudate was blocked only by peroxidase, increasing P. gingivalis growth with 1.3 log genome equivalents. However, no effect was shown on other bacteria. Pre-formed multi-species biofilm trials showed no antimicrobial effect of L-PRF exudate against P. gingivalis or other species. Our findings showed that L-PRF exudate may release peroxide and peptides, which may be responsible for its antimicrobial effect against P. gingivalis. In addition, L-PRF exudate had an antimicrobial effect against P. gingivalis in an in vitro developing multi-species biofilm.

Staphylococcus aureus is a major pathogenic bacterium that causes a variety of clinical infections. The emergence of multi-drug resistant mechanisms requires novel strategies to mitigate S. aureus infection. Alpha-hemolysin (Hla) is a key virulence factor that is believed to play a significant role in the pathogenesis of S. aureus infections. In this study, we screened a naïve human Fab library for identification of monoclonal antibodies targeting Hla by phage display technology. We found that the monoclonal antibody YG1 blocked the Hla-mediated lysis of rabbit red blood cells and inhibited Hla binding to A549 cells in a concentration-dependent manner. YG1 also provided protection against acute peritoneal infection, bacteremia, and pneumonia in murine models. We further characterized its epitope using different Hla variants and found that the amino acids N209 and F210 of Hla were functionally and structurally important for YG1 binding. Overall, these results indicated that targeting Hla with YG1 could serve as a promising protective strategy against S. aureus infection.

Staphylococcus aureus is a major pathogenic bacterium that causes a variety of clinical infections. The emergence of multi-drug resistant mechanisms requires novel strategies to mitigate S. aureus infection. Alpha-hemolysin (Hla) is a key virulence factor that is believed to play a significant role in the pathogenesis of S. aureus infections. In this study, we screened a naïve human Fab library for identification of monoclonal antibodies targeting Hla by phage display technology. We found that the monoclonal antibody YG1 blocked the Hla-mediated lysis of rabbit red blood cells and inhibited Hla binding to A549 cells in a concentration-dependent manner. YG1 also provided protection against acute peritoneal infection, bacteremia, and pneumonia in murine models. We further characterized its epitope using different Hla variants and found that the amino acids N209 and F210 of Hla were functionally and structurally important for YG1 binding. Overall, these results indicated that targeting Hla with YG1 could serve as a promising protective strategy against S. aureus infection. [ABSTRACT FROM AUTHOR]