Lactic acid bacteria are known to have various effects on the immune system. The type and extent of the effect differ, depending on the type of lactic acid bacteria. This study aimed to investigate the effects of Lactobacillus johnsonii bacterin on mouse-derived immune cells. Treating splenocytes with L. johnsonii bacterin slightly increased the metabolic activity. Additionally, the expression of the activation marker CD25 and production of the Th1-type inflammatory cytokine interferon (IFN)-gamma increased. We confirmed that the increase in IFN-gamma production due to L. johnsonii stimulation was mainly due to T and B cells among splenocytes. Treating dendritic cells (DCs) with L. johnsonii bacterin at concentrations of 10 6 and 10 7 cfu/ ml significantly increased tumor necrosis factor-alpha, a pro-inflammatory cytokine, and interleukin-12, a cell-mediated immunity cytokine. Additionally, the expression of surface markers increased. Allogeneic mixed lymphocyte reactions showed that L. johnsonii reduced the antigen-presenting ability of DCs. In cocultures of DCs and splenocytes, L. johnsonii decreased cellular metabolic activity and increased cell death. L. johnsonii upregulated the expression of programmed death ligand 1 on DCs. The findings of this study indicate that L. johnsonii bacterin has immunomodulatory and immunostimulatory effects. While L. johnsonii increased the expression of cytokines and surface markers of immune cells, it modulated DC-mediated immune response. Further studies are needed to determine the effects of L. johnsonii bacterin on DCs and related immune cells.

Background: Sleep disorders and insomnia are prevalent worldwide, with negative health outcomes. The Pittsburgh Sleep Quality Index (PSQI) is a widely used self-report assessment tool for evaluating sleep quality, comprising seven subdomains. The Korean version of the PSQI (PSQI-K) has been tested for reliability and validity in small sample sizes but lacks large-scale validation using objective measures. Methods: This study was conducted with 268 Korean adults attending health check programs. Participants completed the PSQI-K questionnaire and wore Fitbit devices (Fitbit Inc., USA) to ascertain sleep parameters. Reliability was analyzed using the Cronbach’s α coefficient, and construct validity was determined through factor analysis. Criteria validity was assessed by correlating their index scores with Fitbit sleep parameters. We identified the optimal cutoff for detecting sleep disorders. Results: The Cronbach’s α coefficient was 0.61, indicating adequate internal consistency. Factor analysis revealed three factors, explaining 48.2% of sleep quality variance. The index scores were negatively correlated with Fitbit sleep efficiency, total sleep time, and number of awakenings (P<0.05). The optimal cutoff point for identifying sleep disorder groups was ≥6. Conclusion The PSQI-K demonstrated good reliability and validity when correlated with Fitbit sleep parameters, offering a practical screening tool for identifying sleep disorders among Korean adults. Cutoff scores can help identify patients for sleep interventions. However, further large-scale studies are required to validate these findings.

Background/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score. Methods: We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score. Results: A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10–20 pointswas 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase inthe MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites. Conclusions The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

Lactic acid bacteria are known to have various effects on the immune system. The type and extent of the effect differ, depending on the type of lactic acid bacteria. This study aimed to investigate the effects of Lactobacillus johnsonii bacterin on mouse-derived immune cells. Treating splenocytes with L. johnsonii bacterin slightly increased the metabolic activity. Additionally, the expression of the activation marker CD25 and production of the Th1-type inflammatory cytokine interferon (IFN)-gamma increased. We confirmed that the increase in IFN-gamma production due to L. johnsonii stimulation was mainly due to T and B cells among splenocytes. Treating dendritic cells (DCs) with L. johnsonii bacterin at concentrations of 10 6 and 10 7 cfu/ ml significantly increased tumor necrosis factor-alpha, a pro-inflammatory cytokine, and interleukin-12, a cell-mediated immunity cytokine. Additionally, the expression of surface markers increased. Allogeneic mixed lymphocyte reactions showed that L. johnsonii reduced the antigen-presenting ability of DCs. In cocultures of DCs and splenocytes, L. johnsonii decreased cellular metabolic activity and increased cell death. L. johnsonii upregulated the expression of programmed death ligand 1 on DCs. The findings of this study indicate that L. johnsonii bacterin has immunomodulatory and immunostimulatory effects. While L. johnsonii increased the expression of cytokines and surface markers of immune cells, it modulated DC-mediated immune response. Further studies are needed to determine the effects of L. johnsonii bacterin on DCs and related immune cells.

Lactic acid bacteria are known to have various effects on the immune system. The type and extent of the effect differ, depending on the type of lactic acid bacteria. This study aimed to investigate the effects of Lactobacillus johnsonii bacterin on mouse-derived immune cells. Treating splenocytes with L. johnsonii bacterin slightly increased the metabolic activity. Additionally, the expression of the activation marker CD25 and production of the Th1-type inflammatory cytokine interferon (IFN)-gamma increased. We confirmed that the increase in IFN-gamma production due to L. johnsonii stimulation was mainly due to T and B cells among splenocytes. Treating dendritic cells (DCs) with L. johnsonii bacterin at concentrations of 10 6 and 10 7 cfu/ ml significantly increased tumor necrosis factor-alpha, a pro-inflammatory cytokine, and interleukin-12, a cell-mediated immunity cytokine. Additionally, the expression of surface markers increased. Allogeneic mixed lymphocyte reactions showed that L. johnsonii reduced the antigen-presenting ability of DCs. In cocultures of DCs and splenocytes, L. johnsonii decreased cellular metabolic activity and increased cell death. L. johnsonii upregulated the expression of programmed death ligand 1 on DCs. The findings of this study indicate that L. johnsonii bacterin has immunomodulatory and immunostimulatory effects. While L. johnsonii increased the expression of cytokines and surface markers of immune cells, it modulated DC-mediated immune response. Further studies are needed to determine the effects of L. johnsonii bacterin on DCs and related immune cells.

Background: Sleep disorders and insomnia are prevalent worldwide, with negative health outcomes. The Pittsburgh Sleep Quality Index (PSQI) is a widely used self-report assessment tool for evaluating sleep quality, comprising seven subdomains. The Korean version of the PSQI (PSQI-K) has been tested for reliability and validity in small sample sizes but lacks large-scale validation using objective measures. Methods: This study was conducted with 268 Korean adults attending health check programs. Participants completed the PSQI-K questionnaire and wore Fitbit devices (Fitbit Inc., USA) to ascertain sleep parameters. Reliability was analyzed using the Cronbach’s α coefficient, and construct validity was determined through factor analysis. Criteria validity was assessed by correlating their index scores with Fitbit sleep parameters. We identified the optimal cutoff for detecting sleep disorders. Results: The Cronbach’s α coefficient was 0.61, indicating adequate internal consistency. Factor analysis revealed three factors, explaining 48.2% of sleep quality variance. The index scores were negatively correlated with Fitbit sleep efficiency, total sleep time, and number of awakenings (P<0.05). The optimal cutoff point for identifying sleep disorder groups was ≥6. Conclusion The PSQI-K demonstrated good reliability and validity when correlated with Fitbit sleep parameters, offering a practical screening tool for identifying sleep disorders among Korean adults. Cutoff scores can help identify patients for sleep interventions. However, further large-scale studies are required to validate these findings.

Background/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score. Methods: We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score. Results: A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10–20 pointswas 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase inthe MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites. Conclusions The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

Background/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score. Methods: We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score. Results: A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10–20 pointswas 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase inthe MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites. Conclusions The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

Background: Sleep disorders and insomnia are prevalent worldwide, with negative health outcomes. The Pittsburgh Sleep Quality Index (PSQI) is a widely used self-report assessment tool for evaluating sleep quality, comprising seven subdomains. The Korean version of the PSQI (PSQI-K) has been tested for reliability and validity in small sample sizes but lacks large-scale validation using objective measures. Methods: This study was conducted with 268 Korean adults attending health check programs. Participants completed the PSQI-K questionnaire and wore Fitbit devices (Fitbit Inc., USA) to ascertain sleep parameters. Reliability was analyzed using the Cronbach’s α coefficient, and construct validity was determined through factor analysis. Criteria validity was assessed by correlating their index scores with Fitbit sleep parameters. We identified the optimal cutoff for detecting sleep disorders. Results: The Cronbach’s α coefficient was 0.61, indicating adequate internal consistency. Factor analysis revealed three factors, explaining 48.2% of sleep quality variance. The index scores were negatively correlated with Fitbit sleep efficiency, total sleep time, and number of awakenings (P<0.05). The optimal cutoff point for identifying sleep disorder groups was ≥6. Conclusion The PSQI-K demonstrated good reliability and validity when correlated with Fitbit sleep parameters, offering a practical screening tool for identifying sleep disorders among Korean adults. Cutoff scores can help identify patients for sleep interventions. However, further large-scale studies are required to validate these findings.

Lactic acid bacteria are known to have various effects on the immune system. The type and extent of the effect differ, depending on the type of lactic acid bacteria. This study aimed to investigate the effects of Lactobacillus johnsonii bacterin on mouse-derived immune cells. Treating splenocytes with L. johnsonii bacterin slightly increased the metabolic activity. Additionally, the expression of the activation marker CD25 and production of the Th1-type inflammatory cytokine interferon (IFN)-gamma increased. We confirmed that the increase in IFN-gamma production due to L. johnsonii stimulation was mainly due to T and B cells among splenocytes. Treating dendritic cells (DCs) with L. johnsonii bacterin at concentrations of 10 6 and 10 7 cfu/ ml significantly increased tumor necrosis factor-alpha, a pro-inflammatory cytokine, and interleukin-12, a cell-mediated immunity cytokine. Additionally, the expression of surface markers increased. Allogeneic mixed lymphocyte reactions showed that L. johnsonii reduced the antigen-presenting ability of DCs. In cocultures of DCs and splenocytes, L. johnsonii decreased cellular metabolic activity and increased cell death. L. johnsonii upregulated the expression of programmed death ligand 1 on DCs. The findings of this study indicate that L. johnsonii bacterin has immunomodulatory and immunostimulatory effects. While L. johnsonii increased the expression of cytokines and surface markers of immune cells, it modulated DC-mediated immune response. Further studies are needed to determine the effects of L. johnsonii bacterin on DCs and related immune cells.