This study aimed at constructing a draft genome of the adult female worm Toxocara canis using next-generation sequencing (NGS) and de novo assembly, as well as to find new genes after annotation using functional genomics tools. Using an NGS machine, we produced DNA read data of T. canis. The de novo assembly of the read data was performed using SOAPdenovo. RNA read data were assembled using Trinity. Structural annotation, homology search, functional annotation, classification of protein domains, and KEGG pathway analysis were carried out. Besides them, recently developed tools such as MAKER, PASA, Evidence Modeler, and Blast2GO were used. The scaffold DNA was obtained, the N50 was 108,950 bp, and the overall length was 341,776,187 bp. The N50 of the transcriptome was 940 bp, and its length was 53,046,952 bp. The GC content of the entire genome was 39.3%. The total number of genes was 20,178, and the total number of protein sequences was 22,358. Of the 22,358 protein sequences, 4,992 were newly observed in T. canis. Following proteins previously unknown were found: E3 ubiquitin-protein ligase cbl-b and antigen T-cell receptor, zeta chain for T-cell and B-cell regulation; endoprotease bli-4 for cuticle metabolism; mucin 12Ea and polymorphic mucin variant C6/1/40r2.1 for mucin production; tropomodulin-family protein and ryanodine receptor calcium release channels for muscle movement. We were able to find new hypothetical polypeptides sequences unique to T. canis, and the findings of this study are capable of serving as a basis for extending our biological understanding of T. canis.
Adult ; B-Lymphocytes ; Base Composition ; Classification ; DNA ; Female ; Genome* ; Genomics ; Humans ; Larva Migrans, Visceral* ; Metabolism ; Mucins ; Peptides ; Protein Structure, Tertiary ; Receptors, Antigen, T-Cell ; RNA ; Ryanodine Receptor Calcium Release Channel ; T-Lymphocytes ; Toxocara canis* ; Toxocara* ; Transcriptome ; Ubiquitin-Protein Ligases

We developed a prototype of web-based instruction(WBI) program to provide more convenient and more effective service to the public health officials. This web-based instruction program had specific objectives on vaccination for the public health officials who were working for national immunization program. This course had 21 chapters composed of hypertext or voice-based instruction. Using the WBI courseware of Korean Officials Trainging Institution(KOTI), 32 public health official volunteers joined this prototype 2 week program in April 2001. A Auestionnaire survey for evaluation of subjective satisfaction and related factors, cyber-education behavior, and internet using behavior was performed in April, 2001. Among the answered 29 subjects, 24 were female(82.8%). Mean age was 36.6% 6.16. 79.3% of the 29 subjects connected internet in their office. The highest frequent study duration was < 1 hr(51.7%) per connection. They represented relatively high subjective satisfaction in education form(78.6%), and contents(85.7%). But 62.3% of these subjects answered the subjective relative effectiveness score(which was as 100 in case of classical lecture form) was lower than 100. The place to connect internet was only statistically significant factor between these two groups in bivariable analysis. But we could not found any significant factors in multivariate analysis. 89.7% of the subjects answered they would like to participate any more WBI courses serviced by Korean National Health Institute. This study had restriction of small sample size.
Education ; Education, Distance ; Hypermedia ; Immunization Programs ; Internet ; Multivariate Analysis ; Public Health* ; Sample Size ; Vaccination ; Volunteers

Health and Welfare Training Center of Korean National Institute of Health (KNIH) has developed various education curricula for the officials who involved in the public health or welfare sectors. Still almost all education programs are off-line based. In off-line settings, both the lecturers and the students should come to KNIH from their counties to join the education programs, and it is impossible for the students to review or to re-practice the education contents. From September to October, 2000, we conducted a basic survey to evaluate the information infrastructure, internet use and attitude to the cyber education. The 183 institutions and 548 public health officials answered our questionnaire. The informationa infrastructure of each institution was not satisfactory for distance education via world wide web. The proportion of e-mail user was only about 62% of the answered subjects. But cyber- education was highly needed in both institutions and the surveyed officials. They answered that they would actively participate in the cyber-education(97%). The officials expected that the online education would be effective to acquire information, to increase the chance for participation and to reduce the education cost. The expected barriers of the cyber-education were the overload when they should undergo simultaneously education and working, lack of proper infrastructure, disinterest of their low capability of internet use.
Curriculum ; Education ; Education, Distance ; Electronic Mail ; Humans ; Internet ; Public Health* ; Surveys and Questionnaires

Objective: The Montreal Cognitive Assessment (MoCA) is recommended for assessing general cognition in Parkinson’s disease (PD). Several cutoffs of MoCA scores for diagnosing PD with cognitive impairment (PD-CI) have been proposed, with varying sensitivity and specificity. This study investigated the utility of machine learning algorithms using MoCA cognitive domain scores for improving diagnostic performance for PD-CI. Methods: In total, 2,069 MoCA results were obtained from 397 patients with PD enrolled in the Parkinson’s Progression Markers Initiative database with a diagnosis of cognitive status based on comprehensive neuropsychological assessments. Using the same number of MoCA results randomly sampled from patients with PD with normal cognition or PD-CI, discriminant validity was compared between machine learning (logistic regression, support vector machine, or random forest) with domain scores and a cutoff method. Results: Based on cognitive status classification using a dataset that permitted sampling of MoCA results from the same individual (n = 221 per group), no difference was observed in accuracy between the cutoff value method (0.74 ± 0.03) and machine learning (0.78 ± 0.03). Using a more stringent dataset that excluded MoCA results (n = 101 per group) from the same patients, the accuracy of the cutoff method (0.66 ± 0.05), but not that of machine learning (0.74 ± 0.07), was significantly reduced. Inclusion of cognitive complaints as an additional variable improved the accuracy of classification using the machine learning method (0.87–0.89). Conclusion Machine learning analysis using MoCA domain scores is a valid method for screening cognitive impairment in PD.

Purpose: Hereditary parkinsonism genes consist of causative genes of familial Parkinson’s disease (PD) with a locus symbol prefix (PARK genes) and hereditary atypical parkinsonian disorders that present atypical features and limited responsiveness to levodopa (non-PARK genes). Although studies have shown that hereditary parkinsonism genes are related to idiopathic PD at the phenotypic, gene expression, and genomic levels, no study has systematically investigated connectivity among the proteins encoded by these genes at the protein-protein interaction (PPI) level. Materials and Methods: Topological measurements and physical interaction enrichment were performed to assess PPI networks constructed using some or all the proteins encoded by hereditary parkinsonism genes (n=96), which were curated using the Online Mendelian Inheritance in Man database and literature. Results: Non-PARK and PARK genes were involved in common functional modules related to autophagy, mitochondrial or lysosomal organization, catecholamine metabolic process, chemical synapse transmission, response to oxidative stress, neuronal apoptosis, regulation of cellular protein catabolic process, and vesicle-mediated transport in synapse. The hereditary parkinsonism proteins formed a single large network comprising 51 nodes, 83 edges, and three PPI pairs. The probability of degree distribution followed a power-law scaling behavior, with a degree exponent of 1.24 and a correlation coefficient of 0.92. LRRK2 was identified as a hub gene with the highest degree of betweenness centrality; its physical interaction enrichment score was 1.28, which was highly significant. Conclusion Both PARK and non-PARK genes show high connectivity at the PPI and biological functional levels.

Background: The present study aimed to update the methodology to estimate cause-specific disability weight (DW) for the calculation of disability adjusted life year (DALY) and health-adjusted life expectancy (HALE) based on the opinion of medical professional experts. Furthermore, the study also aimed to compare and assess the size of DW according to two analytical methods and estimate the most valid DW from the perspective of years lost due to disability and HALE estimation. Methods: A self-administered web-based survey was conducted ranking five causes of disease. A total of 901 participants started the survey and response data of 806 participants were used in the analyses. In the process of rescaling predicted probability to DW on a scale from 0 to 1, two models were used for two groups: Group 1 (physicians and medical students) and Group 2 (nurses and oriental medical doctors). In Model 1, predicted probabilities were rescaled according to the normal distribution of DWs. In Model 2, the natural logarithms of predicted probabilities were rescaled according to the asymmetric distribution of DWs. Results: We estimated DWs for a total of 313 causes of disease in each model and group. The mean of DWs according to the models in each group was 0.490 (Model 1 in Group 1), 0.378 (Model 2 in Group 1), 0.506 (Model 1 in Group 2), and 0.459 (Model 2 in Group 2), respectively. About two-thirds of the causes of disease had DWs of 0.2 to 0.4 in Model 2 in Group 1. In Group 2, but not in Group 1, there were some cases where the DWs had a reversed order of severity. Conclusion We attempted to calculate DWs of 313 causes of disease based on the opinions of various types of medical professionals using the previous analysis methods as well as the revised analysis method. The DWs from this study can be used to accurately estimate DALY and health life expectancy, such as HALE, in the Korean population.

Background: To precisely build a healthcare delivery system at regional levels, local patients’ healthcare service utilization patterns must be examined. Hence, this study utilized trend analysis of the relevance index of each disease of each essential medical service field at the municipal and provincial levels. Methods: This study analyzed customized databases released by the National Health Insurance Service from 2016–2020. Diseases defined in the Korean National Burden of Disease (KNBD) study were categorized into the following essential medical service fields:trauma care, cardiocerebrovascular, maternal and neonatal, mental health, infection, cancer, older adults’ care and rehabilitation, and others. Relevance index, the percentage of medical service utilization in a region by the residents of that region relative to their total medical service utilization, was examined by region (17 municipal and provincial regions) and disease area. The relevance index was determined based on the number of patients and the total outof-pocket expenses.Result: Eight of the 17 regions showed over a 90.0% relevance index in the infection area. In the cancer area, 14 regions (not including Seoul, Daegu, and Busan) had a relevance index lower than 75.0%. Throughout the analysis period (2016–2020), there were no significant variations in the relevance index. Diseases such as bone and connective tissue cancer (39.0%), neural tube defects (16.7%), and autism (57.1%) had low relevance index in the essential medical service fields. In all 17 regions, the relevance index of inpatients was lower than that of outpatients, and that for out-of-pocket expenses was lower than that based on the number of patients. Conclusion The relevance index of major diseases of each essential medical service field calculated in this study can provide good indicators for monitoring the level of an independent regional healthcare delivery system.

Purpose: This study aimed to determine the effect of an exercise intervention on subjective cancer-related fatigue (CRF) and pro-inflammatory cytokine levels in breast cancer survivors (BCS). Methods: BCS with greater than moderate CRF (≥ 4) were recruited and randomly assigned to experimental or control groups. The experimental group participated in a 12-week exercise adherence program (Better Life after Cancer - Energy, Strength, and Support; BLESS). Interleukin (IL)-6 and tumor necrosis factor-α (TNF-α) levels were determined at 3 time points (M1: baseline, M2: post-intervention, and M4: 6 months after intervention). Subjective fatigue was measured using the Korean version of the revised Piper Fatigue Scale. Results: In this analysis of participants with physiological fatigue measures available (19 experimental, 21 control), there were no statistically significant differences in IL-6 (F = 1.157, p = 0.341), TNF-α levels (F = 0.878, p = 0.436), and level of fatigue (F = 2.067, p = 0.118) between the 2 groups at baseline. Fatigue in the experimental group showed statistically significant improvement compared to the control only at M2 (p = 0.022). There was no significant relationship between subjective and physiological fatigue at the 3 measurement points. Conclusion The BLESS intervention improved CRF in BCS immediately at post-intervention, and this study presents clinical feasibility for the management of CRF in BCS in the early survivorship phase who are already experiencing fatigue.