• Journal of Periodontal and Implant Science
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• v.54 no.3
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• pp.161-176
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• 2024

Purpose: Peri-implant mucositis (PIM) and peri-implantitis (PI) are multicausal conditions with several risk factors contributing to their pathogenesis. In this study, we retrospectively investigated risk variables potentially associated with these peri-implant diseases (PIDs) over a follow-up period of 1 to 18 years. Methods: The study sample consisted of 379 implants placed in 155 patients. Single-visit clinical and radiographic evaluations were employed to determine the presence or absence of PIDs. Parameters related to the patient, site, surgery, implant, and prosthetic restoration were documented. The relationships between risk variables and the occurrence of PIDs were individually examined and adjusted for confounders using multivariate binary logistic regression models. Results: The prevalence rates of PIM and PI were 28.4% and 36.8% at the patient level and 33.5% and 24.5% at the implant level, respectively. Poor oral hygiene, active gingivitis/periodontitis, preoperative alveolar ridge deficiency, early or delayed implant placement, implant length of 11.0 mm or less, and poor restoration quality were strong and independent risk indicators for both PIDs. Furthermore, a follow-up period of more than 5 years and a loading time of more than 4 years were important indicators for PI. Simultaneously, age and smoking status acted as modifiers of the effect of mesiodistal (MD) and buccolingual (BL) widths of restoration on PI. Conclusions: In this study population, oral hygiene, periodontal status, preoperative alveolar ridge status, implant placement protocol, implant length, and the quality of coronal restoration appear to be robust risk indicators for both PIM and PI. Additionally, the length of follow-up and functional loading time are robust indicators of PI. Furthermore, the potential modifying relationships of age and smoking status with the MD and BL widths of restoration may be crucial for the development of PI.

• Journal of Photoscience
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• v.1 no.2
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• pp.95-105
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• 1994

Experiments were carried out to investigate whether P, deficiency in detached 25 mM mannose-feeding led to a decline of the photosynthetic electron transport rates through acidification of the thylakoid lumen. With increasing mannose-feeding time, the maximal CO2 exchange rates and the maximal quantum yields of photosynthesis decreased rapidly up to 6 h by 73% then with little decrease up to 12 h. The ATP/ADP ratio declined by 54% 6 h after the treatment and then recovered to the control level at 12 h. However, the NADPH/NADP~ ratio was not significantly altered by mannose treatment. Electron transport rates of thylakoid membranes isolated from 6 h treated leaves did not change, but they decreased by 30% in 12 h treated leaves. The quenching analysis of Chl fluorescence in mannose-treated leaves revealed that both the fraction of reduced plastoquinone and the degree of acidification of thylakoid lumen remained higher than those of the control. The reduction of PSI in mannose fed leaves was inhibited due to acidification of thylakoid lumen (high qE). The reduction of primary quinone acceptor of PSII was inhibited by mannose feeding. Mannose treatment decreased the efficiency of excitation energy capture by PSII. Fo quenching was induced when treated with mannose more than 6 h, and had a reverse linear correlation with (Fv)m/Fm ratio. These results suggest that Pi deficiency in Chinese cabbage leaves reduce photosynthetic electron transport rates by diminishing both PSII function and electron transfer from PSII to PSI through acidification ofthylakoid lumen, which in turn induce the modification of photosynthetic apparatus probably through protein (de)phosphorylation.

• Microbiology and Biotechnology Letters
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• v.49 no.4
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• pp.594-602
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• 2021

The NLRP3 (nucleotide-binding domain, leucine-rich repeat family pyrin domain containing 3) inflammasome plays an important role in the initiation of inflammatory responses, through the recognition of pathogen-associated molecular patterns and tumor progression, including tumor growth and metastasis. In this study, we examined the effects of defective NLRP3 on the growth, migration, and invasiveness of hepatocellular carcinoma (HCC) SK-Hep1 cell. First, HCC SK-Hep1 cells were transfected with human NLRP3 targeting LentiCRISPRv2 vector using the CRISPR-Cas9 system, and NLRP3 deficiency was confirmed by RT-qPCR and western blotting. NLRP3 deficient SK-Hep1 cells showed delayed cell growth and decreased protein expression of PI3K, p-AKT, and pNF-κB when compared to NLRP3 complete SK-Hep1 cells. In addition, NLRP3 deficiency arrested the cell cycle at G1 phase through an increase in p21 and a reduction in CDK6. NLRP3 deficient SK-Hep1 cells also showed significantly delayed cell migration, invasion, and wound healing. The expression of epithelial-mesenchymal transition signaling molecules, such as N-cadherin and MMP-9, was found to be dramatically decreased in NLRP3 deficient SK-Hep1 cells compared to NLRP3 complete SK-Hep1 cells.

• The Journal of the Society of Stroke on Korean Medicine
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• v.13 no.1
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• pp.43-51
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• 2012

Object : The purpose of this study was to evaluate the relationship between pattern identification (PI) and stroke risk factors, such as hypertension, diabetes mellitus, dyslipidemia, stroke history, obesity, abdominal obesity and metabolic syndrome. Methods : 46 patients with acute ischemic stroke were recruited from May 2012 to November, 2012. We analyzed the data of 32 patients, and pattern identification was identified by resident and specialist of Korean medicine. We analized patient's PI and risk factor by Fisher's exact test. Results : We found that Dampness-phlegm group was more related with patient's metabolic syndrome than non Dampness-Phlegm group. And Yin deficiency group had less relationship with patient's metabolic syndrome, obesity, abdominal obesity and dyslipidemia than non Yin deficiency group. Conclusions : According to the analysis, these results provide evidence for relationship between the Dampness-phlegm group, Yin deficiency and metabolic syndrome.

• The Journal of Internal Korean Medicine
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• v.45 no.1
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• pp.1-10
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• 2024

Objectives: This study investigated the pattern identification (PI) and clinical index of Parkinson's disease (PD) for personalized diagnosis and treatment. Methods: This prospective observational multi-center study recruited 100 patients diagnosed with PD from two Korean medicine hospitals. To cluster new subtypes of PD, items on a PI questionnaire (heat and cold, deficiency and excess, visceral PI) were evaluated along with pulse and tongue analysis. Gait analysis was performed and blood and feces molecular signature changes were assessed to explore biomarkers for new subtypes. In addition, unified PD rating scale II and III scores and the European quality of life 5-dimension questionnaire were assessed. Results: The clinical index obtained in this study analyzed the frequency statistics and hierarchical clustering analysis to classify new subtypes based on PI. Moreover, the biomarkers and current status of herbal medicine treatment were analyzed using the new subtypes. The results provide comprehensive data to investigate new subtypes and subtype-based biomarkers for the personalized diagnosis and treatment of PD patients. Ethical approval was obtained from the medical ethics committees of the two Korean medicine hospitals. All amendments to the research protocol were submitted and approved. Conclusions: An objective and standardized diagnostic tool is needed for the personalized treatment of PD by traditional Korean medicine. Therefore, we developed a clinical index as the basis for the PI clinical evaluation of PD. Trial Registration: This trial is registered with the Clinical Research Information Service (CRIS) (KCT0008677)

• The Journal of the Society of Stroke on Korean Medicine
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• v.13 no.1
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• pp.33-42
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• 2012

Object : The aim of this study was to assess the clinical indicators related to Pattern-Identification(PI) in acute cerebral infarction patients. Methods : We studied hospitalized patients within 30days after ictus, who admitted at Korean Medicine Center of Kyung-Hee University from January 2010 to October 2012.(n=290) Two Traditional Korean Medicine(TKM) physicians evaluated the patients independently and diagnosed PI. Inter-rater reliability was measured using simple percentage agreement and the Cohen's kappa(κ) coefficient. To assess the clinical indicators closely related to each PI, we analysed average score of each indicator in each group. Results : Simple percentage agreement of PI between raters was 64.83% and Cohen's kappa(κ) coefficient was 0.526(95% CI: 0.451-0.600). Inter-rater reliability level was fair to good. We analysed the clinical indicators in each group. Significant indicators for Fire-Heat Pattern(FHP) were reddened complexion and strong pulse power, and meaningful indicators for FHP were halitosis and thick tongue fur. Significant indicator for Dampness-Phlegm Pattern(DPP) was overweight and there was no meaningful indicator. Significant indicator for Yin-Deficiency Pattern(YDP) was dry tongue fur and meaningful indicator for YDP was thirst. There was no significant indicator for Qi-Deficiency Pattern(QDP) and pale complexion and faint low voice were meaningful indicators for QDP. Conclusions : This study reveals the significant and meaningful clinical indicators related to each Pattern-Identification in acute cerebral infarction patients. It will contribute to standardization of Korean Medical Diagnosis and Treatment in acute cerebral infarction patients.

• The Journal of Korean Medicine
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• v.35 no.1
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• pp.124-134
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• 2014

Objectives: Metabolic syndrome is considered a coronary heart disease risk factor and its prevalence rate is increasing in Korea. Because obesity is relevant to metabolic syndrome, we investigated the relationship between metabolic syndrome and the Obesity Pattern Identification Questionnaire in middle-aged health check-up examinees. Methods: This was a cross-sectional study with 125 patients who visited a health promotion center of university hospital from October 2012 to January 2013. We analyzed the association of Obesity Pattern Identification Questionnaire and the diagnostic criteria of metabolic syndrome. Results: Pi deficiency (脾虛), phlegm (痰飮), liver stasis (肝鬱) and food accumulation (食積) pattern showed significantly highs score in the group with hypertriglyceridemia. Also, females demonstrated significantly high scores of liver stasis (肝鬱) and food accumulation (食積) in the group with hypertriglyceridemia. The questions of Pattern Identification that showed especially significant high score in the group of hypertriglyceridemia are as follows: 'Easily get annoyed', 'Usually worried', 'Frequently overeating or bingeing', and 'Having more after getting full'. There are positive correlations between triglyceride and the score of Pi deficiency (脾虛), phlegm (痰飮) and food accumulation (食積) pattern. Conclusions: Obesity Pattern Identification Questionnaire can be used for the management of hypertriglyceridemia in an effort to prevent metabolic syndrome.

• Journal of Physiology & Pathology in Korean Medicine
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• v.24 no.1
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• pp.15-21
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• 2010

Previously standardization study for identifying 5 types of pattern identification of stroke patients has been performed and the Korean standard of pattern identification (II) was developed. In the present study we investigated the interactions between total indices designated by the Korean standard of pattern identification(KSPI II) and indices for PI of Cold-Heat and Deficiency-Excess. Indicators for Cold-Heat and Deficiency-Excess are isolated from 58 indices through the survey of oriental medicine doctors and their relationship with KSPI-II indices was analyzed by corresponding analysis method using data of 1581 stroke patients. Means and standard deviations indicated that 2 Cold indices, 14 Heat indices, 12 Deficiency indices, and 5 Excess indices were included for Cold-Heat and Deficiency-Excess pattern identification. The results of corresponding analysis shows the relationship of 57 indices and 4 types of pattern identification (excluding 1 index and 1 pattern among 58 indices and 5 patterns) using the cross-tabulation which was obtained from the clinical data. Most of Cold and Heat index were divided to dimension 1(inertia 51.9%) obtained from the result of corresponding analysis. Deficiency and Excess index were partially associated with dimension 2(inertia 31.7%). These data suggest that pattern identification of Cold-Heat plays an role in the standardization of pattern identification in stroke, although further studies are required by various trials such as analysis of surveys and clinical data.

• Plant Biotechnology Reports
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• v.5 no.1
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• pp.45-51
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• 2011

A low acid phosphatase 3 (lap3) mutant was identified and characterized from an Arabidopsis activation-tagged (Weigel) population. The roots of the lap3 plants showed lower acid phosphatase (APase) activity compared to wild-type ones under low-Pi conditions ($10{\mu}M\;Pi$). Plasmid rescue experiments revealed that the activation-tagging vector was inserted into the intergenic region between At4g31540 and At4g31550 in the Arabidopsis genome. The genotypic segregation of the lap3 mutation was tightly linked with the phenotypic segregation of root APase activity in the prgeny of lap3. The transcript level of the At4g31520 (SDA1: SEVERE DEPOLYMERIZATION OF ACTIN 1), located 7.4 kb from the CaMV 35S enhancers in the lap3 mutant, was significantly reduced compared to that in the wild type. It was speculated that cellular actin polymerization may be involved in Pi acquisition in higher plants.

• Journal of Korean Medicine for Obesity Research
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• v.14 no.1
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• pp.24-28
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• 2014

Objectives: We conducted this study to analysis obesity pattern and obesity related blood parameters. Methods: A total of 64 overweight and obese (body mass index [BMI] ${\geq}23cm/kg^2$) women who had no other disease was recruited. Body composition and obesity related blood parameters were measured. Also subjects were given and filled out the Obesity pattern identification questionnaire. We analyzed the differences of body composition and blood parameters and measured correlations of BMI and blood parameters in each obesity pattern. Results: The distribution of obesity pattern was liver depression (35.6%), food accumulation (47.5%) and deficiency (pi and yang deficiency, 22.0%), in order. There were no significant differences age, body composition and obesity related blood parameters between obesity patterns. BMI and obesity related blood parameters, however, showed significant correlations depending on obesity patterns. Conclusions: We concluded that correlations between BMI and obesity related blood parameters were differed depending on obesity patterns.