Similar Diseases Research Articles

Immunosensor for bovine anaplasmosis diagnosis on graphite platform functionalized with poly (3-hydroxybenzoic acid)

This study describe the development of an electrochemical immunosensor with a transducer platform functionalized with the poly-(3- hydroxybenzoic acid), to detection of antibodies against the surface protein (Am1) of Anaplasma marginale. This biological probe was immobilized on the polymer under graphite and characterized electrochemically. The detections of antigen-antibody interactions were conducted using the signal obtained from the oxidation of 4-aminoantipyrine (4 -AAP), interleaved with Am1, to enable the use of voltammetry technique of differential pulse. The detections of antibodies of A. marginale, using the graphite electrode functionalized with the probe Am1 was 66% higher than the graphite electrode not functionalized. The time of storage of the immunosensor was satisfactory, with reduced peak current by 35%, after 90 days. The results demonstrate the excellent applicability of this new functionalized platform for probe immobilization and diagnosis of anaplasmosis without the interference of the most similar bovine diseases

LCA-Net: A Lightweight Cross-Stage Aggregated Neural Network for Fine-Grained Recognition of Crop Pests and Diseases

In the realm of smart agriculture technology’s rapid advancement, the integration of various sensors and Internet of Things (IoT) devices has become prevalent in the agricultural sector. Within this context, the precise identification of pests and diseases using unmanned robotic systems assumes a crucial role in ensuring food security, advancing agricultural production, and maintaining food reserves. Nevertheless, existing recognition models encounter inherent limitations such as suboptimal accuracy and excessive computational efforts when dealing with similar pests and diseases in real agricultural scenarios. Consequently, this research introduces the lightweight cross-layer aggregation neural network (LCA-Net). To address the intricate challenge of fine-grained pest identification in agricultural environments, our approach initially enhances the high-performance large-scale network through lightweight adaptation, concurrently incorporating a channel space attention mechanism. This enhancement culminates in the development of a cross-layer feature aggregation (CFA) module, meticulously engineered for seamless mobile deployment while upholding performance integrity. Furthermore, we devised the Cut-Max module, which optimizes the accuracy of crop pest and disease recognition via maximum response region pruning. Thorough experimentation on comprehensive pests and disease datasets substantiated the exceptional fine-grained performance of LCA-Net, achieving an impressive accuracy rate of 83.8%. Additional ablation experiments validated the proposed approach, showcasing a harmonious balance between performance and model parameters, rendering it suitable for practical applications in smart agricultural supervision.

The Geographical Coexist of the Migratory Birds, Ticks, and Nairobi Sheep Disease Virus May Potentially Contribute to the Passive Spreading of Nairobi Sheep Disease

Nairobi sheep disease (NSD) is a hemorrhagic vector-borne disease of small ruminants caused by the Nairobi sheep disease virus (NSDV), also known as Ganjam virus (GV). NSDV and GV refer to the same virus. The NSDV has been identified in East Africa, India, Sri Lanka, and China, and NSDV vector ticks can be carried by birds. There is few research on the mechanism of the global cycle and spillover of NSDV. Based on the prediction of the high probability distribution areas of NSD by the maximum entropy model (MaxEnt), the possible passive transport routes of NSDV vector ticks by migratory birds were simulated for further evaluation. The transmission probability of NSDV vector ticks by migrating birds was calculated using evaluations of the parasitism intensity of ticks on migratory birds at start points, the flying burden of parasitized birds, and the attachment coefficient of ticks on birds during migration. A total of 31 potential transport routes were predicted, which, through interaction with each other, constitute a spreading network for NSDV. Seven species of migratory birds were predicted as intra or interregional carriers. Our study first provides measurable support for estimating the possibility of passive migration of NSDV vector ticks by migratory birds that may be potential carriers of ticks and proposes a transmission mechanism between all known natural foci and potential natural foci. These findings highlight the necessity of cooperation in the management of the NSDV in all known and potential natural foci located in different countries, with the aim of blocking global circulation in a cost-effective way. Furthermore, these findings may also contribute to the prevention of other similar diseases.

THE EFFECT OF AWARENESS OF THE COVID-19 PANDEMIC AND HEALTH LITERACY LEVELS ON HEALTHY LIFESTYLE BEHAVIORS

It can be argued that the COVID-19 outbreak has created awareness in terms of understanding the importance of health, hygiene, financial and spiritual well-being. In this study, it was aimed to determine the awareness levels of university students about the COVID-19 outbreak and whether their health literacy levels have an effect on their healthy lifestyle behaviors. The research population consists of students studying at Bilecik Seyh Edebali University. The convenience sampling method, which is a non-random sampling method, was used in the data collection. The sample size in this study was 457 individuals. The data obtained in the study were evaluated through the SPSS 22.0 statistical software in computer environment. When the regression analysis of the study was examined, a significant cause-and-effect relationship was found between following the news and developments, being affected by the work life, having concerns, taking precautions, health literacy and healthy lifestyle behaviors. Therefore, health literacy needs to be adapted and integrated into daily life in COVID-19 and similar infectious diseases. The findings of this study will provide valuable insights for the development of public health policies and health communication strategies. Strengthening health awareness and enhancing health literacy during and after the pandemic will be critical steps to promote and sustain healthy lifestyle behaviors. By implementing effective measures, society can strive for improved health outcomes and better preparedness for future health challenges.

Effect of the Rubicon protein on LC3-associated phagocytosis by monocytes in the patients with severe atopic bronchial asthma

Atopic bronchial asthma is the most common and severe allergic disease among a wide range of similar diseases. The main pathogenesis of this disease is characterized by a disturbance of T lymphocyte homeostasis, which significantly worsens the general state of health. In atopic bronchial asthma, there is impaired process of T cell apoptosis. This entails dysregulation and maintenance of peripheral lymphocyte homeostasis. Normally, T cells must undergo apoptosis, and its products should be utilized by neighboring cells, or professional phagocytes: monocytes, macrophages, or dendritic cells. This process is altered in atopic bronchial asthma. The immune system disorders, such as autoimmunity, often result from dysregulation of lymphocyte apoptosis. This is especially true in cases of insufficient or missed clearance of apoptotic bodies. Recently, the research and medical communities pay much attention to efferocytosis, a form of phagocytosi which proceeds by removal of apoptotic cells by phagocytes by means of LC3-associated phagocytosis (LAP). This process initiates uptake of the particles due to interactions between the phagocyte plasma membrane receptors and apoptotic cell. Further on, a single-membrane phagosome is formed in the cell with the participation of certain autophagy proteins (Beclin-1, VPS34, UVRAG, ATG5, ATG12, ATG7, ATG4, ATG4, LC3). The phagosome is enriched with LC3 protein molecules and fused with lysosomes, in which the captured “cargo” is then lysed. As a part of our work, a detailed analysis of some key protein contents at the LAP pathway was carried out for peripheral blood monocytes of patients with severe bronchial asthma. It was found that the expression of Rubicon protein is increased, thus allowing to conclude that the LAP pathway is activated in monocytes of healthy donors, thus allowing phagocytosis of dying T cells. At the same time, the components characteristic of both autophagy and LC3-associated phagocytosis are activated in the monocytes of patients with severe atopic asthma. However, one should note that decreased expression of the Rubicon protein, a putative marker of LC3-associated phagocytosis, has been clearly confirmed.

Knowledge, attitude, and practice of university students towards monkeypox in Bangladesh.

The recent outbreak of viral zoonotic disease-monkeypox-caused by the monkeypox virus, has infected many people worldwide. This study aims to explore the knowledge, attitudes, and practices (KAP) concerning monkeypox among university students in Bangladesh. Data were collected using purposive snowball sampling from 887 university students through an online survey using Google Form. The participants were mostly in their twenties (M = 22.33 [SD 2.01] years), and they spent, on average, 2.59 [SD 1.91] hours/day on electronic and social media. The participants generally showed moderate knowledge (39.5%), low attitude (25.1%), and moderate practice (48.6%) toward monkeypox, with 47.6% having had a moderate KAP score. Findings further showed that personal attributes of university students, i.e., age, sex, year of schooling, residence, living status, geographical distribution, e.g., division, were statistically and significantly associated with knowledge, attitudes, and practices regarding monkeypox and overall KAP score. It is also apparent that health status, susceptibility to monkeypox, and exposure to social media were the most common factors significantly associated with knowledge, attitudes, and practices regarding monkeypox and overall KAP score. The current study's findings underscore the need for developing appropriate information, education, and communication (IEC) materials and their dissemination, which could play an important role in reducing the risk of monkeypox and similar other infectious diseases, particularly among students in Bangladesh.

Hysteresis and Hopf bifurcation: Deciphering the dynamics of an in-host model of SARS-CoV-2 with logistic target cell growth and sigmoidal immune response

Mathematical models of in-host dynamics of SARS-CoV-2 may reveal the intricate underlying dynamics of host-pathogen interaction and guide crucial steps to curtail progression of COVID-19 and other similar infectious diseases. While the existing models on SARS-CoV-2 have considered a wide range of host-pathogen interactions, at their core, these models are remarkably similar, particularly in the choice of mathematical functions used in modeling the interactions. Specifically, these models have employed mass action kinetics while modeling target-cell interaction with virus particles and immune response to virus, thus overlooking the role of saturated evolution of target epithelial cells as well as immune cells. Here we fill this gap by developing a more comprehensive model of in-host dynamics of SARS-CoV-2 that concurrently models target epithelial cell growth using a logistic equation and virus-immune interaction using Michaelis–Menten kinetics. We identify a feasible disease-free equilibrium whose local stability depends on ”reproduction number” and global stability on the replenishment rate as well as the removal rate of immune cells. We also obtain multiple endemic equilibria and perform their local and global stability analysis. Our detailed numerical investigation demonstrates that the infection rate and reproduction number govern several interesting dynamical behaviors such as forward bifurcation with and without hysteresis, Hopf bifurcation, and multiple endemic equilibria. To analyze the impact of parameters on the model system and disease dynamics, we investigate several sensitive parameters and compute their sensitivity indices. Finally, to understand the impact of anti-viral therapy on viral load, we identify a novel threshold of replication rate that must be crossed to enable virus proliferation. Our results thus provide novel insights into the in-host dynamics of SARS-CoV-2 and we expect this model will help in the development of better treatment strategies for COVID-19 and other such infectious diseases.

Lagovirus infections of hares and rabbits: review of literature and epizootic situation in the World and Russia

Rabbit viral hemorrhagic disease (RHD) and European hare brown liver syndrome (EBHS) are two similar diseases affecting animals of the hare family, caused by closely related lagoviruses and manifesting as an acute and fatal form of hepatitis and thrombohemorrhagic syndrome in all organs, especially the lungs and liver. The two viruses are closely related genetically and antigenically and share approximately 76% identity. The causative agent of EBHS is a virus of genotype GII.1. Various species of hares and Florida rabbits are susceptible to it. VGBV is caused by viruses of two genotypes: RHDV-GI.1 and RHDV-GI.2. The first genotype (RHDV-GI.1) is strictly specific for rabbits. In contrast, the second (RHDV-GI.2) has a broader range of susceptible animals and affects not only hares but also common badgers and red-bellied musk deer. In addition, due to the lack of crossimmunity between RHDV-GI.1 and RHDV-GI.2 and a wide range of hosts, the second genotype displaces the first of the susceptible populations, which makes it more dangerous in epidemiological terms. The diseases have high morbidity and high mortality - up to 90%. Given the high persistence of the virus in the environment, the disease can cause severe economic damage. Disease control is effectively achieved through vaccination, general quarantine, and preventive measures. However, this only applies to VGBV types 1 and 2, for which vaccines exist. Currently, no vaccines are developed against brown liver syndrome in the European hare.

Analysis of Livestock Mobility and Implications for the Risk of Foot-and-Mouth Disease Virus Spread in Iran

Foot-and-mouth disease (FMD) is endemic in Iran and associated with a large impact on the livestock industry. Livestock mobility is recognized as one of the most important risk factors for FMD and other infectious livestock diseases’ introduction and dissemination. The description of temporal and spatial aspects of livestock mobility networks in Iran provides insights into FMD epidemiology. It also assists in the formulation of recommendations to mitigate the risk of animal disease transmission through livestock movements. This study is the first spatiotemporal description of official/registered cattle, sheep, goat, and camel movements in Iran, using records related to the period from March 2020 to August 2021 extracted from the Iran Veterinary Organization (IVO) Quarantine system. It shows that the static networks drawn by the movements of small ruminants, cattle, and camels to farms or slaughterhouses are complex and highlights the predominance of a few provinces and towns. In particular, the results show that Razavi Khorasan and West Azerbaijan provinces, major provinces for the Iranian livestock sector, are provinces where significant volumes of small ruminants and cattle are moved (from, to, or within) and, therefore, should be prioritized for targeted and timely risk reduction interventions. This study produces some of the necessary inputs for the risk assessment of FMD and similar transboundary animal diseases (TADs) spread within Iran, which is needed to regularly update the national risk-based control strategy for FMD and other TADs.

Development of monoclonal antibodies against Rhodococcus equi virulence-associated protein N and their application to pathological diagnosis.

Since 2015, virulence-associated protein N (vapN)-positive Rhodococcus equi has been isolated from pyogenic lesions in ruminants in multiple countries, including Japan, supporting the widespread distribution of this pathogen in ruminants, and suggesting that VapN is responsible for the pathogenicity of this infection. However, no immunological diagnostic method has been established for this infection. In this study, we attempted to produce anti-VapN monoclonal antibodies and apply them to immunostaining methods. Mice were immunized intraperitoneally or subcutaneously with 5 µg of recombinant VapN (rVapN). After cell fusion and cloning by limiting dilution, we generated three anti-VapN antibody-producing hybridomas (4H4, 5C3, and 5G10). Next, VapN-based immunostaining was performed using a mouse model inoculated with rVapN, the JCM94-3 (VapN-producing) strain, or the JID03-27 (low-producing) strain. Positive reactions were observed in necrotic lesions in the liver and spleen, especially in the rVapN-treated and JCM94-3-treated groups. Immunostaining of goats (n = 2) and cattle (n = 3) presumed to be infected with vapN-positive R. equi was also positive in organs carrying necrotic lesions including the lungs, lymph nodes, abomasum, and ribs. The reactivity of immunostaining differed among the antibodies, with the 4H4 antibody exhibiting the best reactivity and allowing detection at low concentrations. However, the reactivity of the other two antibodies was improved by antigen retrieval treatment. Several known diseases cause necrotizing granuloma formation, and the immunological diagnostic method established in this study can be used to distinguish R. equi infection from similar diseases or identify infection in previously missed cases.IMPORTANCERhodococcus equi can cause infection in ruminants, and its pathogenicity is suggested to be associated with VapN. Despite its wide distribution, no immunological diagnostic method has been developed for VapN-producing R. equi. Against this background, we attempted to develop monoclonal antibodies targeting VapN and assess their application in immunostaining. In the study, mice were immunized with recombinant VapN, and cell fusion and cloning by limiting dilution permitted the generation of three antibody-producing hybridomas. The utility of the antibodies produced from the hybridomas in immunostaining was demonstrated using an infected mouse model, and the antibodies were further applied to previously reported cases of R. equi infection in goats and cattle. Although the 4H4 antibody induced the strongest reactions, the reactivity of two other antibodies was improved by antigen retrieval. Our monoclonal antibodies will be utilized to support the definitive diagnosis of suspected R. equi infection, including cases that were previously missed.

Neural stem/progenitor cells from adult canine cervical spinal cord have the potential to differentiate into neural lineage cells

Background• Neural stem/progenitor cells (NSPCs) are multipotent self-renewing cells that can be isolated from the brain or spinal cord. As they need to be isolated from neural tissues, it is difficult to study human NSPCs. To facilitate NSPC research, we attempted to isolate NSPCs from dogs, as dogs share the environment and having many similar diseases with humans. We collected and established primary cultures of ependymal and subependymal cells from the central canal of the cervical spinal cord of adult dogs. To isolate pure NSPCs, we employed the monolayer culture and selective medium culture methods. We further tested the ability of the NSPCs to form neurospheres (using the suspension culture method) and evaluated their differentiation potential.Results• The cells had the ability to grow as cultures for up to 10 passages; the growth curves of the cells at the 3rd, 6th, and 9th passages showed similar patterns. The NSPCs were able to grow as neurospheres as well as monolayers, and immunostaining at the 3rd, 6th, and 9th passages showed that these cells expressed NSPC markers such as nestin and SOX2 (immunofluorescent staining). Monolayer cultures of NSPCs at the 3rd, 6th, and 9th passages were cultured for approximately 14 days using a differentiation medium and were observed to successfully differentiate into neural lineage and glial cells (astrocytes, neurons, and oligodendrocytes) at all the three passages tested.Conclusion• It is feasible to isolate and propagate (up to at least 10 passages) canine cervical spinal cord-derived NSPCs with the capacity to differentiate into neuronal and glial cells. To the best of our knowledge this is the first study to successfully isolate, propagate, and differentiate canine NSPCs derived from cervical spinal cord in the adult canine, and we believe that these cells will contribute to the field of spinal cord regeneration in veterinary and comparative medicine.

Информационное обеспечение клинических решений при диагностике редких заболеваний

The emergence of software solutions capable of accumulating and processing information extracted from the case histories of patients with rare diseases helps to increase the level of physicians' awareness, helps to avoid clinical errors and optimize the organization of the patient treatment process. The present study is devoted to the development of information support for clinical solutions in the diagnosis of rare diseases on the example of benign neck tumors localized in the carotid artery (carotid chemodectomas). The composition of the components is substantiated and the requirements for the information support system for diagnosing rare diseases are deter-mined, the database of the system is designed, a version of the library for working with radiological images of a neck tumor and a dataset is developed and published, representing tools for analyzing user data about patients and classification. A data set of patients with carotid tumor and similar diseases has been formed and integrated into the library (it can be updated by adding information about new patients). Implemented such radiological im-age processing operations as applying standard transformations (Hounsfield Scale, Erosion, Dilation) and rescal-ing. The resulting software library can be used by IT researchers in the field of working with medical data, in particular, to borrow and independently refine methods for extracting medical information and recognizing radiolog-ical images of a neck tumor.

Primary Pulmonary Sarcoma Coinfected with Pulmonary Tuberculosis: A Case Report

Introduction: Pulmonary tuberculosis (TB) and malignancy are conditions with similar respiratory diseases and they are even known to coexist simultaneously. Therefore, accurate diagnosis of each disease is crucial to ensure precise treatment. This case study showed the coexistence of pulmonary TB and primary pulmonary sarcoma.Case Presentation: A 62-year-old male presented with a 3-month history of dyspnea, which worsened within 3 days. Before hospitalization, there were complaints of left chest pain, fatigue, loss of appetite, weight loss within 5 months, and night sweats. The patient who was a heavy smoker had experienced hemoptysis in the past 5 months. Upon physical examination, an increased respiratory rate and decreased oxygen saturation level. Furthermore, there were asymmetrical thorax movements, dull percussion on the left side, and decreased vesicular breathing sound on the left hemithorax, with no rhonchi or wheezing. A chest x-ray showed a destroyed left lung, while scanning confirmed left lung atelectasis and indicated a suspected mass within or around the left bronchus causing total obstruction in the main left bronchus. The bronchoscopy procedure identified a mass blocking the left main bronchus. However, a biopsy yielded inconclusive results. A rapid molecular test of TB detected Mycobacterium tuberculosis, which was discovered to be Rifampicin sensitive. As a result, the patient was treated daily with 4 fixed drug combinations for anti-TB. Despite the treatment, the complaint was not resolved within the next 3 months, as there was still a disease of cough in the form of mass-like phlegm, which uncovered a malignancy focus cell with differential diagnosis of pleomorphic sarcoma and sarcomatoid carcinoma.Conclusions: Lung malignancy not only overlapped with but also occurred simultaneously alongside lung TB. Therefore, it was crucial to establish a clear diagnosis in patients with chronic respiratory disease.

Clustering rare diseases within an ontology-enriched knowledge graph.

Identifying sets of rare diseases with shared aspects of etiology and pathophysiology may enable drug repurposing. Toward that aim, we utilized an integrative knowledge graph to construct clusters of rare diseases. Data on 3242 rare diseases were extracted from the National Center for Advancing Translational Science Genetic and Rare Diseases Information center internal data resources. The rare disease data enriched with additional biomedical data, including gene and phenotype ontologies, biological pathway data, and small molecule-target activity data, to create a knowledge graph (KG). Node embeddings were trained and clustered. We validated the disease clusters through semantic similarity and feature enrichment analysis. Thirty-seven disease clusters were created with a mean size of 87 diseases. We validate the clusters quantitatively via semantic similarity based on the Orphanet Rare Disease Ontology. In addition, the clusters were analyzed for enrichment of associated genes, revealing that the enriched genes within clusters are highly related. We demonstrate that node embeddings are an effective method for clustering diseases within a heterogenous KG. Semantically similar diseases and relevant enriched genes have been uncovered within the clusters. Connections between disease clusters and drugs are enumerated for follow-up efforts. We lay out a method for clustering rare diseases using graph node embeddings. We develop an easy-to-maintain pipeline that can be updated when new data on rare diseases emerges. The embeddings themselves can be paired with other representation learning methods for other data types, such as drugs, to address other predictive modeling problems.

Pervasive Sharing of Causal Genetic Risk Factors Contributes to Clinical and Molecular Overlap between Sjögren's Disease and Systemic Lupus Erythematosus.

SjD (Sjögren's Disease) and SLE (Systemic Lupus Erythematosus) are similar diseases. There is extensive overlap between the two in terms of both clinical features and pathobiologic mechanisms. Shared genetic risk is a potential explanation of this overlap. In this study, we evaluated whether these diseases share causal genetic risk factors. We compared the causal genetic risk for SLE and SjD using three complementary approaches. First, we examined the published GWAS results for these two diseases by analyzing the predicted causal gene protein-protein interaction networks of both diseases. Since this method does not account for overlapping risk intervals, we examined whether such intervals also overlap. Third, we used two-sample Mendelian randomization (two sample MR) using GWAS summary statistics to determine whether risk variants for SLE are causal for SjD and vice versa. We found that both the putative causal genes and the genomic risk intervals for SLE and SjD overlap 28- and 130-times more than expected by chance (p < 1.1 × 10-24 and p < 1.1 × 10-41, respectively). Further, two sample MR analysis confirmed that alone or in aggregate, SLE is likely causal for SjD and vice versa. [SjD variants predicting SLE: OR = 2.56; 95% CI (1.98-3.30); p < 1.4 × 10-13, inverse-variance weighted; SLE variants predicting SjD: OR = 1.36; 95% CI (1.26-1.47); p < 1.6 × 10-11, inverse-variance weighted]. Notably, some variants have disparate impact in terms of effect size across disease states. Overlapping causal genetic risk factors were found for both diseases using complementary approaches. These observations support the hypothesis that shared genetic factors drive the clinical and pathobiologic overlap between these diseases. Our study has implications for both differential diagnosis and future genetic studies of these two conditions.

A COVID-19 Outbreak in a Large Meat-Processing Plant in England: Transmission Risk Factors and Controls.

The meat-processing industry had frequent COVID-19 outbreaks reported worldwide. In May 2021, a large meat-processing plant in the UK had an outbreak affecting 4.1% (63/1541) of workers. A rapid on-site investigation was conducted to understand the virus transmission risk factors and control measures. This included observational assessments of work activities, control measures, real-time environmental measurements and surface microbial sampling. The production night-shift attack rate (11.6%, 44/380) was nearly five times higher than the production day-shift (2.4%, 9/380). Shared work transport was provided to 150 staff per dayshift and 104 per nightshift. Production areas were noisy (≥80 dB(A)) and physical distancing was difficult to maintain. Face visors were mandatory, additional face coverings were required for some activities but not always worn. The refrigeration system continuously recirculated chilled air. In some areas, the mean temperature was as low as 4.5 °C and mean relative humidity (RH) was as high as 96%. The adequacy of ventilation in the production areas could not be assessed reliably using CO2, due to the use of CO2 in the packaging process. While there were challenges in the production areas, the observed COVID-19 control measures were generally implemented well in the non-production areas. Sixty surface samples from all areas were tested for SARS-CoV-2 RNA and 11.7% were positive. Multi-layered measures, informed by a workplace specific risk assessment, are required to prevent and control workplace outbreaks of COVID-19 or other similar respiratory infectious diseases.

The Molecular Basis of Wnt/β-Catenin Signaling Pathways in Neurodegenerative Diseases.

Defective Wnt signaling is found to be associated with various neurodegenerative diseases. In the canonical pathway, the Frizzled receptor (Fzd) and the lipoprotein receptor-related proteins 5/6 (LRP5/LRP6) create a seven-pass transmembrane receptor complex to which the Wnt ligands bind. This interaction causes the tumor suppressor adenomatous polyposis coli gene product (APC), casein kinase 1 (CK1), and GSK-3β (glycogen synthase kinase-3 beta) to be recruited by the scaffold protein Dishevelled (Dvl), which in turn deactivates the β-catenin destruction complex. This inactivation stops the destruction complex from phosphorylating β-catenin. As a result, β-catenin first builds up in the cytoplasm and then migrates into the nucleus, where it binds to the Lef/Tcf transcription factor to activate the transcription of more than 50 Wnt target genes, including those involved in cell growth, survival, differentiation, neurogenesis, and inflammation. The treatments that are currently available for neurodegenerative illnesses are most commonly not curative in nature but are only symptomatic. According to all available research, restoring Wnt/β-catenin signaling in the brains of patients with neurodegenerative disorders, particularly Alzheimer's and Parkinson's disease, would improve the condition of several patients with neurological disorders. The importance of Wnt activators and modulators in patients with such illnesses is to mainly restore rather than overstimulate the Wnt/β-catenin signaling, thereby reestablishing the equilibrium between Wnt-OFF and Wnt-ON states. In this review, we have tried to summarize the significance of the Wnt canonical pathway in the pathophysiology of certain neurodegenerative diseases, such as Alzheimer's disease, cerebral ischemia, Parkinson's disease, Huntington's disease, multiple sclerosis, and other similar diseases, and as to how can it be restored in these patients.

Is Omalizumab Treatment Used During the COVID-19 Pandemic Effective on the Frequency and Severity of COVID-19?

Objective: The effects of drugs used in chronic spontaneous urticaria (CSU) and similar chronic dermatological diseases in COVID-19 continue to be the subject of many studies. The present study aimed to reveal the frequency and severity of COVID-19 infection in CSU patients treated with omalizumab and antihistamines.&#x0D; Materials and Methods: CSU patients who were followed up and treated with omalizumab or antihistamines were evaluated retrospectively for clinical conditions with CSU and COVID-19 during the pandemic and compared with the control group regarding the incidence and severity of COVID-19 infection. In addition, urticaria disease severity was also compared with pre-pandemic scores for the CSU group.&#x0D; Results: Real-time reverse transcription-polymerase chain reaction test positivity rate for SARS-CoV-2 was detected in 17.4%, 30.1%, and 34.8% of the patients in omalizumab, antihistamine, and control groups, respectively (p= 0.001). The disease activity scores were increased in both antihistamine and omalizumab treated compared to the pre-covid state CSU patients, while the increase was minor in patients using omalizumab. &#x0D; Conclusion: The fact that COVID-19 infection was seen less frequent and urticaria activity scores were lower during the infection in the omalizumab group suggests that omalizumab treatment is safe and convenient to use during COVID-19 infection.

An Integrative Disease Information Network Approach to Similar Disease Detection.

Disease similarity analysis impacts significantly in pathogenesis revealing, treatment recommending, and disease-causing genes predicting. Previous works study the disease similarity based on the semantics obtaining from biomedical ontologies (e.g., disease ontology) or the function of disease-causing molecules. However, such methods almost focus on a single perspective for obtaining disease features, which may lead to biased results for similar disease detection. To address this issue, we propose a disease information network-based integrative approach named MISSION for detecting similar diseases. By leveraging the associations between diseases and other biomedical entities, the disease information network is established first. Then, the disease similarity features extracted from the aspects of disease taxonomy, attributes, literature, and annotations are integrated into the disease information network. Finally, the top-k similar disease query is performed based on the integrative disease information. The experiments conducted on real-world datasets demonstrate that MISSION is effective and useful in similar disease detection.

Poster Session: Detecting spaceflight associated neuro-ocular syndrome (SANS) using light-weight convolutional neural networks.

Spaceflight-associated neuro-ocular syndrome (SANS) is a collection of neuro-ophthalmic findings that occurs in astronauts as a result of prolonged microgravity exposure in space. Due to limited resources on board long-term spaceflight missions, early disease diagnosis and prognosis of SANS become unviable. Moreover, the current retinal imaging techniques onboard the international space station (ISS), such as optical coherence tomography (OCT), ultrasound imaging, and fundus photography, require an expert to distinguish between SANS and similar ophthalmic diseases. With the advent of Deep Learning, diagnosing diseases (such as diabetic retinopathy) from structural retinal images are being automated. In this study, we propose a lightweight convolutional neural network incorporating an EfficientNet encoder for detecting SANS from OCT images. We used 6303 OCT B-scan images for training/validation (80%/20% split) and 945 for testing. Our model achieved 84.2% accuracy on the test set, i.e., 85.6% specificity, and 82.8% sensitivity. Moreover, it outperforms two other state-of-the-art pre-trained architectures, ResNet50-v2 and MobileNet-v2, by 21.4% and 13.1%. Additionally, we use GRAD-CAM to visualize activation maps of intermediate layers to test the interpretability of our model's prediction. The proposed architecture enables fast and efficient prediction of SANS-like conditions for future long-term spaceflight mission in which computational and clinical resources are limited.