Background: Patients with disabilities often require general anesthesia for dental treatment because of their cooperative or physical problems. Since most patients with disabilities take central nervous system drugs, the management of recovery status is important because of drug interactions with anesthetics. Methods: The anesthesia records of patients under general anesthesia for dental treatment were reviewed, and data were collected. Healthy patients under general anesthesia for dental phobia or severe gagging reflex were designated as the control group. Patients with disabilities were divided into two groups: those not taking any medication and those taking antiepileptic medications. The awakening time was evaluated in 354 patients who underwent dental treatment under general anesthesia (92 healthy patients, 183 patients with disabilities, and 79 patients with disabilities taking an antiepileptic drug). Based on the data recorded in anesthesia records, the awakening time was calculated, and statistical processes were used to determine the factors affecting awakening time. Results: Significant differences in awakening time were found among the three groups. The awakening time from anesthesia in patients with disabilities (13.09 ± 5.83 min) (P < 0.0001) and patients taking antiepileptic drugs (18.18 ± 7.81 min) (P < 0.0001) were significantly longer than in healthy patients (10.29 ± 4.87 min). Conclusion The awakening time from general anesthesia is affected by the disability status and use of antiepileptic drugs.

Purpose: The aim of this study was to identify core keywords and topic groups in the ‘Gestational diabetes mellitus (GDM) and Breastfeeding’ field of research for better understanding research trends in the past 20 years. Methods: This was a text-mining and topic modeling study composed of four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building a co-occurrence matrix, and 4) analyzing network features and clustering topic groups. Results: A total of 635 papers published between 2001 and 2020 were found in databases (Web of Science, CINAHL, RISS, DBPIA, RISS, KISS). Among them, 3,639 words extracted from 366 articles selected according to the conditions were analyzed by text network analysis and topic modeling. The most important keywords were 'exposure', ‘fetus’, ‘hypoglycemia’, 'prevention' and 'program'. Six topic groups were identified through topic modeling. The main topics of the study were ‘cardiovascular disease' and 'obesity'. Through the topic modeling analysis, six themes were derived: ‘cardiovascular disease’, ‘obesity’, ‘complication prevention strategy’, ‘support of breastfeeding’, ‘educational program’ and ‘management of GDM’. Conclusion This study showed that over the past 20 years many studies have been conducted on complications such as cardiovascular diseases and obesity related to gestational diabetes and breastfeeding. In order to prevent complications of gestational diabetes and promote breastfeeding, various nursing interventions, including gestational diabetes management and educational programs for GDM pregnancies, should be developed in nursing fields.

Background: Patients with disabilities often require general anesthesia for dental treatment because of their cooperative or physical problems. Since most patients with disabilities take central nervous system drugs, the management of recovery status is important because of drug interactions with anesthetics. Methods: The anesthesia records of patients under general anesthesia for dental treatment were reviewed, and data were collected. Healthy patients under general anesthesia for dental phobia or severe gagging reflex were designated as the control group. Patients with disabilities were divided into two groups: those not taking any medication and those taking antiepileptic medications. The awakening time was evaluated in 354 patients who underwent dental treatment under general anesthesia (92 healthy patients, 183 patients with disabilities, and 79 patients with disabilities taking an antiepileptic drug). Based on the data recorded in anesthesia records, the awakening time was calculated, and statistical processes were used to determine the factors affecting awakening time. Results: Significant differences in awakening time were found among the three groups. The awakening time from anesthesia in patients with disabilities (13.09 ± 5.83 min) (P < 0.0001) and patients taking antiepileptic drugs (18.18 ± 7.81 min) (P < 0.0001) were significantly longer than in healthy patients (10.29 ± 4.87 min). Conclusion The awakening time from general anesthesia is affected by the disability status and use of antiepileptic drugs.

Purpose: The aim of this study was to identify core keywords and topic groups in the ‘Gestational diabetes mellitus (GDM) and Breastfeeding’ field of research for better understanding research trends in the past 20 years. Methods: This was a text-mining and topic modeling study composed of four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building a co-occurrence matrix, and 4) analyzing network features and clustering topic groups. Results: A total of 635 papers published between 2001 and 2020 were found in databases (Web of Science, CINAHL, RISS, DBPIA, RISS, KISS). Among them, 3,639 words extracted from 366 articles selected according to the conditions were analyzed by text network analysis and topic modeling. The most important keywords were 'exposure', ‘fetus’, ‘hypoglycemia’, 'prevention' and 'program'. Six topic groups were identified through topic modeling. The main topics of the study were ‘cardiovascular disease' and 'obesity'. Through the topic modeling analysis, six themes were derived: ‘cardiovascular disease’, ‘obesity’, ‘complication prevention strategy’, ‘support of breastfeeding’, ‘educational program’ and ‘management of GDM’. Conclusion This study showed that over the past 20 years many studies have been conducted on complications such as cardiovascular diseases and obesity related to gestational diabetes and breastfeeding. In order to prevent complications of gestational diabetes and promote breastfeeding, various nursing interventions, including gestational diabetes management and educational programs for GDM pregnancies, should be developed in nursing fields.

Imipenemase (IMP)-6–producing Pseudomonas aeruginosa sequence type (ST) 235 is a dominant clone of carbapenemase-producing P. aeruginosa (CPPAE) in Korea. As part of the Antimicrobial Resistance Surveillance System in Korea, we found an increase in the carbapenem resistance rate of P. aeruginosa isolates from blood cultures and a shift in the molecular epidemiology of CPPAE. A total of 212 non-duplicated P. aeruginosa blood isolates were obtained from nine general hospitals and two nursing homes. Twenty-four isolates were identified as CPPAE. We observed the emergence of the NDM-1 P. aeruginosa ST 773 clone (N=10), mostly from Gyeongsang Province. The IMP-6 ST 235 clone (N=11) was detected in all provinces. CPPAE isolates showed very high resistance rates to amikacin, and all NDM-1 P. aeruginosa strains carried rmtB. This is the first nationwide surveillance of the recently emerged NDM-1–producing P. aeruginosa ST773 clone in Korea. Continuous surveillance is necessary to prevent the infection and transmission of carbapenem- and amikacin-resistant P. aeruginosa in Korea.

Mycobacterium tuberculosis is a potent inducer of cytokine production by mononuclear phagocytes, which are an important cellular component in the first line immune defence. In this study, the cell wall-associated Triton X-100 soluble protein (TSP) antigens, TSP-H37Rv, TSP-H37Ra, TSP-K, and TSP-BCG, were isolated from M. tuberculosis H37Rv, M. tuberculosis H37Ra, M. tuberculosis K-strain, and M. bovis BCG, respectively. The monocytes were isolated from the peripheral blood mononuclear cells of healthy individuals and were co-cultured with each TSP antigens and the secretory proteins of M. tuberculosis (PPD and 30-kDa antigen) to measure the production of cytokines; tumor necrosis factor (TNF)-a, interleukin (IL)-12, IL-8 and monocyte chemotactic protein-1 (MCP-1). The TSP-H37Rv antigen- stimulated monocytes showed higher level of TNF-a and IL-12 production compared to those of other TSP antigens and PPD. Especially, IL-12 production in response to the TSP-H37Rv antigen was significantly elevated in comparison with that of PPD-stimulated monocytes (TSP-H37Rv, 255.5+/-256.9 pg/ml; PPD, 55.7+/-55.4 pg/ml). However, the 30-kDa antigen did not induce TNF-alpha expression and also showed the lowest level of cytokine and chemokine production by monocytes. MCP-1 and IL-8 production were similarly increased in response to all TSP antigens and the PPD antigen. The production of IL-12 by the TSP-H37Rv antigen stimulation was significantly increased in PPD reactors than that in the non-reactor group, while the levels of other cytokines stimulated with each TSP antigens, 30-kDa and PPD antigen were not significantly different between the tuberculin reactor and the non-reactor groups. These results suggest that the cell wall-associated TSP antigen isolated from M. tuberculosis H37Rv acts as a more potent IL-12 inducer than the PPD antigen in innate immune response and thus it could further activate the Th1-mediated immune responses effectively against M. tuberculosis infection.
Chemokine CCL2 ; Cytokines ; Humans* ; Immunity, Innate ; Interleukin-10* ; Interleukin-12* ; Interleukin-8* ; Interleukins ; Monocytes* ; Mycobacterium bovis ; Mycobacterium tuberculosis* ; Mycobacterium* ; Neptune* ; Octoxynol* ; Phagocytes ; Tuberculin ; Tuberculosis ; Tumor Necrosis Factor-alpha*

TGF-beta induces IgA class switching by B cells. We previously reported that Smad3 and Smad4, pivotal TGF-beta signal-transducing transcription factors, mediate germline (GL) alpha transcription induced by TGF-beta1, resulting in IgA switching by mouse B cells. Post-translational sumoylation of Smad3 and Smad4 regulates TGF-beta-induced transcriptional activation in certain cell types. In the present study, we investigated the effect of sumoylation on TGF-beta1-induced, Smad3/4-mediated GLalpha transcription and IgA switching by mouse B cell line, CH12F3-2A. Overexpression of small ubiquitin-like modifier (SUMO)-1, SUMO-2 or SUMO-3 did not affect TGF-beta1-induced, Smad3/4-mediated GLalpha promoter activity, expression of endogenous GLalpha transcripts, surface IgA expression, and IgA production. Next, we tested the effect of the E3 ligase PIASy on TGF-beta1-induced, Smad3/4-mediated GLalpha promoter activity. We found that PIASy overexpression suppresses the GLalpha promoter activity in cooperation with histone deacetylase 1. Taken together, these results suggest that SUMO itself does not affect regulation of GLalpha transcription and IgA switching induced by TGF-beta1/Smad3/4, while PIASy acts as a repressor.
Animals ; B-Lymphocytes* ; Cell Line ; Histone Deacetylase 1 ; Immunoglobulin A ; Immunoglobulin Class Switching ; Mice ; Small Ubiquitin-Related Modifier Proteins* ; SUMO-1 Protein* ; Sumoylation ; Transcription Factors ; Transcriptional Activation ; Transforming Growth Factor beta ; Transforming Growth Factor beta1 ; Ubiquitin-Protein Ligases

Ginsenosides are the major components of ginseng, which is known to modulate blood pressure, metabolism, and immune function, and has been used to treat various diseases. It has been reported that ginseng and several ginsenosides have immunoregulatory effects on the innate and T cell-mediated immune response. However, their effects on the humoral immune response have not been fully explored. The present study examined the direct effects of red ginseng extract (RGE) and ginsenosides on mouse B cell proliferation and on antibody production and the expression of germline transcripts (GLT) by mouse B cells in vitro. RGE slightly reduced B cell proliferation, but increased IgA production by LPS-stimulated B cells. Furthermore, ginsenoside Rg1 and 20(S)-Rg3 selectively induced IgA production and expression of GLTalpha transcripts by LPS-stimulated B cells. Collectively, these results suggest that ginsenoside Rg1 and 20(S)-Rg3 can drive the differentiation of B cells into IgA-producing cells through the selective induction of GLTalpha expression.
Animals ; Antibody Formation ; B-Lymphocytes* ; Blood Pressure ; Cell Proliferation ; Ginsenosides ; Immunity, Humoral ; Immunoglobulin A* ; Metabolism ; Mice* ; Panax

BACKGROUND: In an effort to find alternative therapeutic agents to prevent excessive fibrosis as a sequela to complicated parapneumonic effusion or empyema, we examined the effect of tissue plasminogen activator (tPA) as a fibrinolytic agent combined with talc or transforming growth factor (TGF)-beta1 in a human pleural mesothelial cell line, MeT-5A. METHODS: MeT-5A cells were stimulated with various doses of talc, doxycycline or TGF-beta1 for 24 h and then were treated with tPA for an additional 24 h. Cell viability was measured by MTT assay. The production of interleukin (IL)-8 and vascular endothelial growth factor (VEGF) in the culture supernatants was measured by ELISA. Real-time PCR was carried out for measurement of type I collagen mRNA. RESULTS: MeT-5A cells treated with talc showed a dose-dependent increase in production of IL-8. Talc also increased production of type I collagen mRNA at low doses, but talc did not influence the induction of VEGF. Addition of tPA to talc-stimulated cells showed further increases in the production of IL-8, but tPA did not influence the production of VEGF or type I collagen mRNA. TGF-beta1 increased the production of both VEGF and collagen type I mRNA, both of which were effectively inhibited by additional tPA treatment in MeT-5A cells. CONCLUSION: TGF-beta1 is a potent inducer of collagen synthesis without induction of IL-8 in MeT-5A cells. Addition of tPA after TGF-beta1 stimulation inhibited further fibrosis by direct inhibition of collagen mRNA synthesis as well as by inhibition of VEGF production.
Cell Line ; Cell Survival ; Collagen ; Collagen Type I ; Doxycycline ; Empyema ; Enzyme-Linked Immunosorbent Assay ; Epithelium ; Fibrosis ; Humans ; Interleukin-8 ; Interleukins ; Real-Time Polymerase Chain Reaction ; RNA, Messenger ; Talc ; Tissue Plasminogen Activator ; Transforming Growth Factor beta1 ; Transforming Growth Factors ; Vascular Endothelial Growth Factor A