Biology subjects

Lim, H. S.

Publications and source records attributed to Lim, H. S..

5 recordsLinked to original sources

bioRxiv2018

Synthetic chromosome fusion: effects on genome structure and function

As part of the Synthetic Yeast 2.0 (Sc2.0) project, we designed and synthesized synthetic chromosome I. The total length of synI is [~]21.4% shorter than wild-type chromosome I, the smallest chromosome in Saccharomyces cerevisiae. SynI was designed for attachment to another synthetic chromosome due to concerns of potential instability and karyotype imbalance. We used a variation of a previously developed, robust CRISPR-Cas9 method to fuse chromosome I to other chromosome arms of varying length: chrIXR (84kb), chrIIIR (202kb) and chrIVR (1Mb). All fusion chromosome strains grew like wild-type so we decided to attach synI to synIII. Through the investigation of three-dimensional structures of fusion chromosome strains, unexpected loops and twisted structures were formed in chrIII-I and chrIX-III-I fusion chromosomes, which depend on silencing protein Sir3. These results suggest a previously unappreciated 3D interaction between HMR and the adjacent telomere. We used these fusion chromosomes to show that axial element Red1 binding in meiosis is not strictly chromosome size dependent even though Red1 binding is enriched on the three smallest chromosomes in wild-type yeast, and we discovered an unexpected role for centromeres in Red1 binding patterns.

synthetic biology↗

bioRxiv2018

Onset, Time to Recurrence, and Recurrence Risk Factors of Myocardial Infarction and Ischemic Stroke: 10-Year Nationwide one-Million Population Database

Background and PurposeWe aimed to determine the differences in the pathophysiology of myocardial infarction (MI) and ischemic stroke (IS) and present their basic epidemiologic data for public health policy.\n\nMethodsWe included patients with a history of admission with diagnostic codes of MI and IS in the National Health Information Database (NHID) of the National Health Insurance Service (NHIS) Sample Cohort 2002-2013. We investigated the time to primary and secondary events, difference in incidence based on sex, time interval for the secondary event following the primary event in MI and IS, and the relative risk of recurrent events compared with that of primary events.\n\nResultsThe mean age of onset of IS was significantly higher than that of MI (65.67{+/-}12.25 vs. 60.4{+/-}13.07 years; P<0.05). The mean period from primary IS to secondary IS was significantly shorter than that from primary IS to secondary MI (2.09{+/-}2.80 vs. 5.35{+/-}2.90 years; P=0.016). The mean period from primary MI to secondary MI was significantly shorter than that from primary MI to secondary IS (2.30{+/-}2.75 vs. 5.16{+/-}3.26 years; P<0.001). The incidence of IS in men was significantly higher than that in women. The relative risk of recurrent IS and MI was greater than that of the primary event. In patients younger than 70 years, the incidence of MI was higher than that of IS, while in those above 70 years it was lower (P<0.05).\n\nConclusionsThe age at onset, time to recurrence, sex, and relative risks are significantly different between ischemic stroke and myocardial infarction, suggesting that the underlying pathophysiologic mechanisms might be different between the two.

epidemiology↗

bioRxiv2018

Socioeconomic status associated with carpal tunnel syndrome: A retrospective nationwide 11-year population-based cohort study in South Korea

ImportanceThere have only been a few large-scale studies that have included a risk factor analysis for CTS. No prior study has investigated the relationship between the occurrence of CTS and stratified socioeconomic status, which is closely related to a persons type of job.\n\nObjectiveTo confirm the known risk factors for CTS and also to determine the correlation between stratified socioeconomic status and the occurrence of CTS.\n\nDesignWe conducted this study using a retrospective cohort model based on the combined databases of the Korean National Health Insurance System from 2003-2013, a database compiled using information from a national periodic health-screening program that is used for reimbursement claims.\n\nSettingThe setting was a population-based retrospective cohort study.\n\nParticipantsFirst, we randomly sampled 514,795 patients who represented 10% of the 5,147,950 people who took part in periodic health screenings from 2002-2003. Existing CTS patients were excluded from this group. Therefore, this study finally included 512,942 participants and followed their medical records from 2003-2013.\n\nMain Outcomes and MeasuresDesired outcomes were the incidence rate of CTS and the hazard ratios according to stratified socioeconomic status.\n\nResultsA correlation analysis showed that CTS was more likely to occur in patients from a lower socioeconomic status.\n\nConclusions and RelevanceCTS was associated with people of a lower socioeconomic status who work in simple but repetitive manual labor jobs. We believe that the results of our study will be helpful to determine the pathophysiology of CTS and to set up a new industrial health policy for this condition.\n\nKey PointsO_ST_ABSQuestionC_ST_ABSWhat is the relationship between stratified socioeconomic status and the incidence of carpal tunnel syndrome (CTS)?\n\nFindingsIn this retrospective population-based cohort study that included 512,942 participants sampled from the Korean National Health Insurance System(KNHIS) database, the incidence rate and hazard ratios for CTS tended to increase with lower socioeconomic status.\n\nImplicationsLow socioeconomic status was identified as a risk factor for the incidence of CTS.

epidemiology↗

bioRxiv2018

Validation of known risk factors associated with carpal tunnel syndrome: A retrospective nationwide 11-year population-based cohort study in South Korea

Key PointsO_ST_ABSQuestionC_ST_ABSWhat is the relationship between the previously known risk factors and occurrence of carpal tunnel syndrome (CTS)?\n\nFindingsIn this retrospective population-based cohort study that included 512,942 participants sampled from the Korean National Health Insurance System database, we determined the following known risk factors were related to the occurrence of CTS: the age of 40s, female, being overweight, diabetes, rheumatoid arthritis, gout, and Raynauds syndrome. However, ESRD, hypothyroidism and smoking were not correlated with CTS occurrence.\n\nImplicationsWe identified the age of 40s, female, overweight, diabetes, rheumatoid arthritis, gout, and Raynauds syndrome as risk factors for the occurrence of CTS.\n\nAbstractO_ST_ABSImportanceC_ST_ABSThere have been few large-scale studies that have included a risk factor analysis for CTS. No prior study has investigated and validated the relationship between the occurrence of CTS and known risk factors using nationwide health care database.\n\nObjectiveTo confirm the actual risk factors for CTS out of various known risk factors\n\nDesignWe conducted this study using a retrospective cohort model based on the combined two databases of the Korean National Health Insurance System; the national periodic health screening program database from 2002-2003 and health insurance database of reimbursement claims from 2003 through 2013.\n\nSettingA population-based retrospective cohort study.\n\nParticipantsFirst, we randomly sampled 514,795 patients who represented 10% of the 5,147,950 people who took part in periodic health screenings in 2002-2003. Existing CTS patients were excluded from this group. Therefore, this study finally included 512,942 participants and followed up their medical records from 2003-2013.\n\nMain Outcomes and MeasuresDesired outcomes were the incidence rate of CTS in patients with various risk factors and the hazard ratios of risk factors affecting the diseases occurrence.\n\nResultsThe incidence of CTS was highest in patients in the age of 40s, in the moderate obesity group, in females, and in patients with diabetes mellitus (DM). The hazard ratio analysis revealed that the following risk factors were strongly related to the occurrence of CTS: age of 40s, female, obesity, DM, rheumatoid arthritis, gout, and Raynauds syndrome. However, ESRD, hypothyroidism and smoking were not correlated with CTS occurrence.\n\nConclusions and RelevanceIn our large-scale cohort study, risk factors such as being in ones 40s, obesity, being female, suffering from DM, and rheumatoid arthritis were reaffirmed as those of CTS occurrence.

epidemiology↗

bioRxiv2018

10 Year Epidemiologic data of Parkinson`s Disease: A Nationwide Population-based Retrospective Cohort of South Korea

ObjectivesThe aims of this study were to determine the prevalence, incidence, and P/I ratio of Parkinsons disease (PD) in South Korea and to present basic epidemiological information on PD patients for making effective health policies.\n\nMethodsWe used National Health Insurance Service-National Sample Cohort (KNHIS-NSC) data to analyze the prevalence, incidence, and P/I ratio of PD from 2003 to 2013 and then followed up using the NHID in 2008 to obtain the hazard ratio (HR) of death in PD itself and other comorbidities from 2008 to 2013.\n\nResultsThe prevalence and incidence of PD increased rapidly from 72.9 and 32.8 in 2003 to 213.4 and 58.0 in 2013, and the P/I ratio increased from 2.22 in 2003 to 3.62 in 2013. The prevalence, incidence, and P/I ratio of PD were all higher in women than in men. The hazard ratio for death was significantly higher in PD patients (15.36) compared to subjects without the disease. Stroke was the most frequent cause of death in the PD patient population followed by cancer and pneumonia.\n\nConclusionThe prevalence, incidence, and P/I ratio of PD rapidly increased as the years progressed. This indirectly proves that the health insurance system in Korea is efficient and has allowed patients with PD to access medical facilities more easily. However, a newer public healthy strategy should be established for patients with PD because PD itself has a high HR for death, and patients with PD have a high mortality rate when stroke and pneumonia are also involved.\n\nDisclosureAll authors have reported no biomedical interests and potential conflicts of interests.

epidemiology↗