Opiranserin injection (Unafra®, Vivozon Inc.) is a first-in-class, non-opioid analgesic for the management of moderate-to-severe postoperative pain. The active ingredient, opiranserin (code name: VVZ-149), is a synthetic molecule that simultaneously antagonizes glycine transporter 2 (GlyT2) and serotonin 2A receptors (5-HT2A), both of which play key roles in pain processing. Opiranserin exemplifies the application of ex vivo phenotypic screening combined with a bait–target approach to identify effective multi-target agents that overcome the limitations of conventional single-target analgesics. In this review, we aim to describe the discovery and optimization of opiranserin through efficacy-based screening using a bait-target approach, outline its pharmacological mechanisms of action as a drug with both central and peripheral activity, and summarize published clinical studies demonstrating its successful translation from preclinical efficacy to reductions in postoperative pain and opioid consumption. We also discuss the clinical implications and future research directions to enhance the therapeutic utility of opiranserin injection and maximize patient benefit within the framework of precision analgesia.

Mechanical power (MP) has been reported to be associated with clinical outcomes. Because the original MP equation is derived from paralyzed patients under volume-controlled ventilation, its application in practice could be limited in patients receiving pressure-controlled ventilation (PCV). Recently, a simplified equation for patients under PCV was developed. We investigated the association between MP and intensive care unit (ICU) mortality. Methods: We conducted a retrospective analysis of Korean data from the Fourth International Study of Mechanical Ventilation. We extracted data of patients under PCV on day 1 and calculated MP using the following simplified equation: MPPCV = 0.098 ∙ respiratory rate ∙ tidal volume ∙ (ΔPinsp + positive end-expiratory pressure), where ΔPinsp is the change in airway pressure during inspiration. Patients were divided into survivors and non-survivors and then compared. Multivariable logistic regression was performed to determine association between MPPCV and ICU mortality. The interaction of MPPCV and use of neuromuscular blocking agent (NMBA) was also analyzed. Results: A total of 125 patients was eligible for final analysis, of whom 38 died in the ICU. MPPCV was higher in non-survivors (17.6 vs. 26.3 J/min, P<0.001). In logistic regression analysis, only MPPCV was significantly associated with ICU mortality (odds ratio, 1.090; 95% confidence interval, 1.029–1.155; P=0.003). There was no significant effect of the interaction between MPPCV and use of NMBA on ICU mortality (P=0.579). Conclusions: MPPCV is associated with ICU mortality in patients mechanically ventilated with PCV mode, regardless of NMBA use.

Mechanical power (MP) has been reported to be associated with clinical outcomes. Because the original MP equation is derived from paralyzed patients under volume-controlled ventilation, its application in practice could be limited in patients receiving pressure-controlled ventilation (PCV). Recently, a simplified equation for patients under PCV was developed. We investigated the association between MP and intensive care unit (ICU) mortality. Methods: We conducted a retrospective analysis of Korean data from the Fourth International Study of Mechanical Ventilation. We extracted data of patients under PCV on day 1 and calculated MP using the following simplified equation: MPPCV = 0.098 ∙ respiratory rate ∙ tidal volume ∙ (ΔPinsp + positive end-expiratory pressure), where ΔPinsp is the change in airway pressure during inspiration. Patients were divided into survivors and non-survivors and then compared. Multivariable logistic regression was performed to determine association between MPPCV and ICU mortality. The interaction of MPPCV and use of neuromuscular blocking agent (NMBA) was also analyzed. Results: A total of 125 patients was eligible for final analysis, of whom 38 died in the ICU. MPPCV was higher in non-survivors (17.6 vs. 26.3 J/min, P<0.001). In logistic regression analysis, only MPPCV was significantly associated with ICU mortality (odds ratio, 1.090; 95% confidence interval, 1.029–1.155; P=0.003). There was no significant effect of the interaction between MPPCV and use of NMBA on ICU mortality (P=0.579). Conclusions: MPPCV is associated with ICU mortality in patients mechanically ventilated with PCV mode, regardless of NMBA use.

Mechanical power (MP) has been reported to be associated with clinical outcomes. Because the original MP equation is derived from paralyzed patients under volume-controlled ventilation, its application in practice could be limited in patients receiving pressure-controlled ventilation (PCV). Recently, a simplified equation for patients under PCV was developed. We investigated the association between MP and intensive care unit (ICU) mortality. Methods: We conducted a retrospective analysis of Korean data from the Fourth International Study of Mechanical Ventilation. We extracted data of patients under PCV on day 1 and calculated MP using the following simplified equation: MPPCV = 0.098 ∙ respiratory rate ∙ tidal volume ∙ (ΔPinsp + positive end-expiratory pressure), where ΔPinsp is the change in airway pressure during inspiration. Patients were divided into survivors and non-survivors and then compared. Multivariable logistic regression was performed to determine association between MPPCV and ICU mortality. The interaction of MPPCV and use of neuromuscular blocking agent (NMBA) was also analyzed. Results: A total of 125 patients was eligible for final analysis, of whom 38 died in the ICU. MPPCV was higher in non-survivors (17.6 vs. 26.3 J/min, P<0.001). In logistic regression analysis, only MPPCV was significantly associated with ICU mortality (odds ratio, 1.090; 95% confidence interval, 1.029–1.155; P=0.003). There was no significant effect of the interaction between MPPCV and use of NMBA on ICU mortality (P=0.579). Conclusions: MPPCV is associated with ICU mortality in patients mechanically ventilated with PCV mode, regardless of NMBA use.

Mechanical power (MP) has been reported to be associated with clinical outcomes. Because the original MP equation is derived from paralyzed patients under volume-controlled ventilation, its application in practice could be limited in patients receiving pressure-controlled ventilation (PCV). Recently, a simplified equation for patients under PCV was developed. We investigated the association between MP and intensive care unit (ICU) mortality. Methods: We conducted a retrospective analysis of Korean data from the Fourth International Study of Mechanical Ventilation. We extracted data of patients under PCV on day 1 and calculated MP using the following simplified equation: MPPCV = 0.098 ∙ respiratory rate ∙ tidal volume ∙ (ΔPinsp + positive end-expiratory pressure), where ΔPinsp is the change in airway pressure during inspiration. Patients were divided into survivors and non-survivors and then compared. Multivariable logistic regression was performed to determine association between MPPCV and ICU mortality. The interaction of MPPCV and use of neuromuscular blocking agent (NMBA) was also analyzed. Results: A total of 125 patients was eligible for final analysis, of whom 38 died in the ICU. MPPCV was higher in non-survivors (17.6 vs. 26.3 J/min, P<0.001). In logistic regression analysis, only MPPCV was significantly associated with ICU mortality (odds ratio, 1.090; 95% confidence interval, 1.029–1.155; P=0.003). There was no significant effect of the interaction between MPPCV and use of NMBA on ICU mortality (P=0.579). Conclusions: MPPCV is associated with ICU mortality in patients mechanically ventilated with PCV mode, regardless of NMBA use.

Prolonged skin inflammation is caused by disrupted skin barrier resulting in chronic inflammatory diseases such as atopic dermatitis. As a potent natural product with anti-inflammatory property, Aster glehni (A. glehni) is a traditional edible herb and has been used to treat diabetes or colitis-associated colon cancer. In present study, we figured out an additional effect of A. glehni ethanol extract (AGE) in pro-inflammatory cytokines-stimulated human keratinocytes. Mixture of tumor necrosis factor-alpha (TNF-α) and interferongamma (IFN-γ) was used to induce inflammatory responses in the HaCaT keratinocytes. AGE suppressed activation of ERK mitogen-activated protein kinase, nuclear factor (NF)-κB, and signal transducer and activator of transcription 1 and 3 (STAT1 and STAT3). The treatment of AGE inhibited mRNA expressions of proinflammatory cytokines in TNF-α and IFN-γ-stimulated HaCaT cells. Also, AGE induced up-regulated expressions of skin barrier molecules like filaggrin, loricrin, or ZO-1. We evaluated the effects of AGE on protein or mRNA expression levels using western blot or qRT-PCR, respectively. Taken together, these results suggest that the treatment of AGE exerts anti-inflammatory effect on keratinocytes through suppressing inflammatory signaling pathways and up-regulating skin molecules in HaCaT keratinocytes.

Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT.

Prolonged skin inflammation is caused by disrupted skin barrier resulting in chronic inflammatory diseases such as atopic dermatitis. As a potent natural product with anti-inflammatory property, Aster glehni (A. glehni) is a traditional edible herb and has been used to treat diabetes or colitis-associated colon cancer. In present study, we figured out an additional effect of A. glehni ethanol extract (AGE) in pro-inflammatory cytokines-stimulated human keratinocytes. Mixture of tumor necrosis factor-alpha (TNF-α) and interferongamma (IFN-γ) was used to induce inflammatory responses in the HaCaT keratinocytes. AGE suppressed activation of ERK mitogen-activated protein kinase, nuclear factor (NF)-κB, and signal transducer and activator of transcription 1 and 3 (STAT1 and STAT3). The treatment of AGE inhibited mRNA expressions of proinflammatory cytokines in TNF-α and IFN-γ-stimulated HaCaT cells. Also, AGE induced up-regulated expressions of skin barrier molecules like filaggrin, loricrin, or ZO-1. We evaluated the effects of AGE on protein or mRNA expression levels using western blot or qRT-PCR, respectively. Taken together, these results suggest that the treatment of AGE exerts anti-inflammatory effect on keratinocytes through suppressing inflammatory signaling pathways and up-regulating skin molecules in HaCaT keratinocytes.

Prolonged skin inflammation is caused by disrupted skin barrier resulting in chronic inflammatory diseases such as atopic dermatitis. As a potent natural product with anti-inflammatory property, Aster glehni (A. glehni) is a traditional edible herb and has been used to treat diabetes or colitis-associated colon cancer. In present study, we figured out an additional effect of A. glehni ethanol extract (AGE) in pro-inflammatory cytokines-stimulated human keratinocytes. Mixture of tumor necrosis factor-alpha (TNF-α) and interferongamma (IFN-γ) was used to induce inflammatory responses in the HaCaT keratinocytes. AGE suppressed activation of ERK mitogen-activated protein kinase, nuclear factor (NF)-κB, and signal transducer and activator of transcription 1 and 3 (STAT1 and STAT3). The treatment of AGE inhibited mRNA expressions of proinflammatory cytokines in TNF-α and IFN-γ-stimulated HaCaT cells. Also, AGE induced up-regulated expressions of skin barrier molecules like filaggrin, loricrin, or ZO-1. We evaluated the effects of AGE on protein or mRNA expression levels using western blot or qRT-PCR, respectively. Taken together, these results suggest that the treatment of AGE exerts anti-inflammatory effect on keratinocytes through suppressing inflammatory signaling pathways and up-regulating skin molecules in HaCaT keratinocytes.

Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT.