• Tuberculosis and Respiratory Diseases
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• v.84 no.1
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• pp.1-12
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• 2021

Mycobacterium tuberculosis has infected more than two billion individuals worldwide, of whom 5%-10% have clinically active disease and 90%-95% remain in the latent stage with a reservoir of viable bacteria in the macrophages for extended periods of time. The tubercle bacilli at this stage are usually called dormant, non-viable, and/or non-culturable microorganisms. The patients with latent bacilli will not have clinical pictures and are not infectious. The infections in about 2%-23% of the patients with latent status become reactivated for various reasons such as cancer, human immunodeficiency virus infection, diabetes, and/or aging. Many studies have examined the mechanisms involved in the latent state of Mycobacterium and showed that latency modified the expression of many genes. Therefore, several mechanisms will change in this bacterium. Hence, this study aimed to briefly examine the genes involved in the latent state as well as the changes that are caused by Mycobacterium tuberculosis. The study also evaluated the relationship between the functions of these genes.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.265-272
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• 2022

As the risk of lung cancer has increased, early-stage detection and treatment of cancers have received a lot of attention. Among various medical imaging approaches, computer tomography (CT) has been widely utilized to examine the size and growth rate of lung nodules. However, the process of manual examination is a time-consuming task, and it causes physical and mental fatigue for medical professionals. Recently, many computer-aided diagnostic methods have been proposed to reduce the workload of medical professionals. In recent studies, encoder-decoder architectures have shown reliable performances in medical image segmentation, and it is adopted to predict lesion candidates. However, localizing nodules in lung CT images is a challenging problem due to the extremely small sizes and unstructured shapes of nodules. To solve these problems, we utilize atrous spatial pyramid pooling (ASPP) to minimize the loss of information for a general U-Net baseline model to extract rich representations from various receptive fields. Moreover, we propose mixed-up attention mechanism of reverse, boundary and convolutional block attention module (CBAM) to improve the accuracy of segmentation small scale of various shapes. The performance of the proposed model is compared with several previous attention mechanisms on the LIDC-IDRI dataset, and experimental results demonstrate that reverse, boundary, and CBAM (RB-CBAM) are effective in the segmentation of small nodules.

• 한국약용작물학회:학술대회논문집
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• 2006.11a
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• pp.23-39
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• 2006

The application of the knowledge from the Human Genome Project to clinical medicine will be through both industrial drug development and the application of pharmacogenomics (PG) to patient care. The slow uptake of clinical innovations into clinical practice can be frustrating, but understanding the history of acceptance and sustaining medical innovation is critically important to position PG to succeed. This primarily means that PG tests must have legitimacy; they must be thoroughly validated, must be cost-effective, must be widely accepted by medical practitioners, must be supported by public policy, and must have a way of being easily incorporated into current medical practice. They must also lead to actionalble decisions by health care providers for their patients. Innovative PG assays should be tested in the best US laboratories, and reimbursement for testing must be accepted at the federal and state level. The companies providing these PG tests should be capable of supporting the interpretation and use of the test throughout medical practice. Advances such as the addition of PG information to drug labeling and the routine use of validated biomarkers to determine choice of cancer chemotherapy have been made. The PG research community must pay attention to the principles that have been previously described for acceptance and sustaining medical innovations in order for PG to be widely accepted in clinical medical practice.

• Journal of Pharmacopuncture
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• v.25 no.4
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• pp.344-353
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• 2022

Objectives: Auraptene is the most abundant natural prenyloxycoumarin. Recent studies have shown that it has multiple biological and therapeutic properties, including antioxidant properties. Erythrocytes are constantly subjected to oxidative damage that can affect proteins and lipids within the erythrocyte membrane and lead to some hemoglobinopathies. Due to the lack of sufficient information about the antioxidant effects of auraptene on erythrocytes, this study intended to evaluate the potential of this compound in protecting radical-induced erythrocytes damages. Methods: The antioxidant activity of auraptene was measured based on DPPH and FRAP assays. Notably, oxidative hemolysis of human erythrocytes was used as a model to study the ability of auraptene to protect biological membranes from free radical-induced damage. Also, the effects of auraptene in different concentrations (25-400 µM) on AAPH-induced lipid/protein peroxidation, glutathione (GSH) content and morphological changes of erythrocytes were determined. Results: Oxidative hemolysis and lipid/protein peroxidation of erythrocytes were significantly suppressed by auraptene in a time and concentration-dependent manner. Auraptene prevented the depletion of the cytosolic antioxidant GSH in erythrocytes. Furthermore, it inhibited lipid and protein peroxidation in a time and concentration-dependent manner. Likewise, FESEM results demonstrated that auraptene reduced AAPH-induced morphological changes in erythrocytes. Conclusion: Auraptene efficiently protects human erythrocytes against free radicals. Therefore, it can be a potent candidate for treating oxidative stress-related diseases.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.33 no.3
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• pp.142-155
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• 2022

Diagnosis using voice is non-invasive and can be implemented through various voice recording devices; therefore, it can be used as a screening or diagnostic assistant tool for laryngeal voice disease to help clinicians. The development of artificial intelligence algorithms, such as machine learning, led by the latest deep learning technology, began with a binary classification that distinguishes normal and pathological voices; consequently, it has contributed in improving the accuracy of multi-classification to classify various types of pathological voices. However, no conclusions that can be applied in the clinical field have yet been achieved. Most studies on pathological speech classification using speech have used the continuous short vowel /ah/, which is relatively easier than using continuous or running speech. However, continuous speech has the potential to derive more accurate results as additional information can be obtained from the change in the voice signal over time. In this review, explanations of terms related to artificial intelligence research, and the latest trends in machine learning and deep learning algorithms are reviewed; furthermore, the latest research results and limitations are introduced to provide future directions for researchers.

• Journal of Veterinary Clinics
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• v.40 no.2
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• pp.164-174
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• 2023

Canine splenic tumors (STs) are commonly diagnosed during imaging examinations, such as in X-ray and ultrasonography examinations, suggesting their higher prevalence, especially in older dogs. Despite this high prevalence, there are no effective treatment options for STs because of the difficulties in determining therapeutic targets. However, recently, the importance of microRNAs (miRNAs) has evolved owing to their ambivalent characteristics. Biomarkers and novel therapies using miRNAs have been well-studied in human cancer research compared to canine research, except for mammary gland tumors. Therefore, this study aimed to comparatively analyze miRNA expression profiles according to malignancy and biopsy sites to identify novel therapeutic and diagnostic targets. Tissue samples were collected directly from splenic tumor masses and immersed in RNAlater solution for further analysis. To investigate differentially expressed genes (DEGs) between tumor and normal tissues, we used RNA-seq and miRNA microarray analysis. Then, functional analysis based on DEGs was conducted to sort tumor-related DEGs. We found that cfa-miR-150 was upregulated in benign tumors, whereas cfa-miR-134 was upregulated in malignant tumors. Despite limited information on canine miRNAs, we identified two potential biomarkers for the differential diagnosis of STs.

• Korean Journal of Materials Research
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• v.33 no.3
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• pp.87-94
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• 2023

Exposure to ultraviolet (UV) light is often associated with skin damage, sometimes very serious, and in recent times has received particular attention as a health risk. As a result, the proper use of sunscreen has long been recommended to protect against skin damage. The continued increase in the use of sunscreen may be linked to increased information about the risk of melanoma and non-melanoma skin cancer caused by prolonged exposure to ultraviolet rays. Natural and harmless materials that block and prevent UV light have emerged as essential household items in the field of skin beauty. New materials need to be considered and evaluated in relation to ultraviolet rays and their harmful effects. This study aims to explain the effect of UV exposure on human skin, the classification of sunscreens, the application of zeolite, nano clay, and LDH in sunscreen formulations, as well as the regulation of this service in various countries around the world.

• Korean Journal of Biological Psychiatry
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• v.30 no.1
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• pp.24-30
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• 2023

Objectives Alzheimer's disease (AD) is the most common form of dementia in older adults, damaging the brain and resulting in impaired memory, thinking, and behavior. The identification of differentially expressed genes and related pathways among affected brain regions can provide more information on the mechanisms of AD. The aim of our study was to identify differentially expressed genes associated with AD and combined biomarkers among them to improve AD risk prediction accuracy. Methods Machine learning methods were used to compare the performance of the identified combined biomarkers. In this study, three publicly available gene expression datasets from the hippocampal brain region were used. Results We detected 31 significant common genes from two different microarray datasets using the limma package. Some of them belonged to 11 biological pathways. Combined biomarkers were identified in two microarray datasets and were evaluated in a different dataset. The performance of the predictive models using the combined biomarkers was superior to those of models using a single gene. When two genes were combined, the most predictive gene set in the evaluation dataset was ATR and PRKCB when linear discriminant analysis was applied. Conclusions Combined biomarkers showed good performance in predicting the risk of AD. The constructed predictive nomogram using combined biomarkers could easily be used by clinicians to identify high-risk individuals so that more efficient trials could be designed to reduce the incidence of AD.

• Genomics & Informatics
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• v.21 no.2
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• pp.21.1-21.14
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• 2023

Fusobacterium nucleatum is a gram-negative bacteria associated with diverse infections like appendicitis and colorectal cancer. It mainly attacks the epithelial cells in the oral cavity and throat of the infected individual. It has a single circular genome of 2.7 Mb. Many proteins in F. nucleatum genome are listed as "Uncharacterized." Annotation of these proteins is crucial for obtaining new facts about the pathogen and deciphering the gene regulation, functions, and pathways along with discovery of novel target proteins. In the light of new genomic information, an armoury of bioinformatic tools were used for predicting the physicochemical parameters, domain and motif search, pattern search, and localization of the uncharacterized proteins. The programs such as receiver operating characteristics determine the efficacy of the databases that have been employed for prediction of different parameters at 83.6%. Functions were successfully assigned to 46 uncharacterized proteins which included enzymes, transporter proteins, membrane proteins, binding proteins, etc. Apart from the function prediction, the proteins were also subjected to string analysis to reveal the interacting partners. The annotated proteins were also put through homology-based structure prediction and modeling using Swiss PDB and Phyre2 servers. Two probable virulent factors were also identified which could be investigated further for potential drug-related studies. The assigning of functions to uncharacterized proteins has shown that some of these proteins are important for cell survival inside the host and can act as effective drug targets.

• Journal of Veterinary Clinics
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• v.40 no.3
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• pp.197-202
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• 2023

Canine lymphoma (cL) is the most common hematopoietic cancer in dogs. Various determinants have been evaluated to find the predisposing factors in both human and canine lymphoma. Due to common risk factors and similar pathways, cL is considered a potential model for non-Hodgkin lymphoma (NHL) in humans. In this case-series study, major hospitals in Tehran consented to take part in this study and between the years of 2020-2022, provided us with 52 cL cases which were approved by the attended pathologist. We designed a questionnaire and collected information about the dogs and their owners. Most of the owners were women, young (younger than 50 years old), had at least diplomas and interestingly were housewives or househusbands. Male dogs with middle to old age (more than 6 years) were mostly referred. The most common characteristics were neutered, normal BCS, purebred, urban but not industrial residence, previous tobacco smoke exposure but no history of previous fungicide or pesticide exposure. Also, most of them did not have any previous autoimmune or immunosuppressive diseases. Presented characteristics should be considered risk determinants but to approve their validity, they should be further evaluated in epidemiological studies.