Background: Rare cases of Kawasaki disease (KD) and multisystem inflammatory syndrome in children (MIS-C) have been reported following the coronavirus disease 2019 (COVID-19) vaccination; however, the association between COVID-19 vaccination and the risk of developing KD/MIS-C has not yet been established. Methods: We conducted a self-controlled case series analysis using a large-linked database that connects the COVID-19 immunization registry with nationwide claims data. We identified individuals aged < 18 years who received their initial COVID-19 vaccination and had a KD/MIS-C diagnosis with a prescription for intravenous immunoglobulin or corticosteroids between October 18, 2021, and April 15, 2023. The observation period was set as 240 days from the date of the COVID-19 vaccination. The risk window was 60 days after vaccination, with the remaining observation period serving as the control window. The incidence rate ratios (IRRs) and 95% confidence intervals (CIs) in the risk versus control windows were estimated using the conditional Poisson regression model. We further analyzed the vaccine doses and types for secondary analysis. We also performed subgroup analyses stratified by sex, age, comorbidities, and other conditions and sensitivity analyses by varying the length of the risk window and outcome definition. Results: Among 2,369,490 individuals who received the COVID-19 vaccination, 12 cases of KD/MIS-C were identified, which included five and seven patients in the risk and control windows, respectively. There was no increased risk of KD/MIS-C within the 60-day period of vaccination (IRR, 0.53; 95% CI, 0.17–1.60). Secondary subgroup and sensitivity analyses showed no significant increase in the risk of KD/MIS-C after COVID-19 vaccination, which is consistent with the results of the main analysis. Conclusion The results of this nationwide study suggest that the risk of developing KD/MIS-C did not increase after COVID-19 vaccination. However, owing to the lack of a sufficient number of cases, future studies utilizing multinational long-term follow-up databases should be conducted. Considering the increasing incidence of KD/MIS-C and the limited understanding of its precise biological mechanisms, additional research on KD/MIS-C is warranted.

This review explores the current status and future potential of digital therapeutics (DTx), emphasizing their role in clinical practice. It focuses on clarifying their classification, clinical applications, regulatory challenges, and prospective developments in the field.Current Concepts: Digital therapeutics are evidence-based interventions delivered via software to prevent, manage, and treat medical conditions. Unlike traditional pharmacotherapy, DTx products can be updated and modified, offering greater flexibility in treatment delivery. They are categorized into behavior-modification, physiological-modulation, and disease-management types, and are primarily applied to chronic conditions and neuropsychological disorders. Global regulatory frameworks are rapidly evolving to accommodate this burgeoning field.Discussion and Conclusion: Digital therapeutics offer significant advantages over traditional pharmacotherapy, such as lower development costs, personalized treatment options, and improved accessibility. These innovations have the potential to transform healthcare by complementing existing therapies and enabling data-driven, individualized care. However, several key challenges must be addressed for widespread adoption. Patient adherence remains inconsistent, particularly in longterm treatments, which can limit clinical effectiveness. In addition, underdeveloped reimbursement policies create economic uncertainty, and ongoing concerns regarding data security and privacy pose persistent risks. As technology advances, digital therapeutics are poised to enhance clinical outcomes, expand access to care, and transform traditional healthcare models, ultimately driving innovation in modern medicine.

Background: Rare cases of Kawasaki disease (KD) and multisystem inflammatory syndrome in children (MIS-C) have been reported following the coronavirus disease 2019 (COVID-19) vaccination; however, the association between COVID-19 vaccination and the risk of developing KD/MIS-C has not yet been established. Methods: We conducted a self-controlled case series analysis using a large-linked database that connects the COVID-19 immunization registry with nationwide claims data. We identified individuals aged < 18 years who received their initial COVID-19 vaccination and had a KD/MIS-C diagnosis with a prescription for intravenous immunoglobulin or corticosteroids between October 18, 2021, and April 15, 2023. The observation period was set as 240 days from the date of the COVID-19 vaccination. The risk window was 60 days after vaccination, with the remaining observation period serving as the control window. The incidence rate ratios (IRRs) and 95% confidence intervals (CIs) in the risk versus control windows were estimated using the conditional Poisson regression model. We further analyzed the vaccine doses and types for secondary analysis. We also performed subgroup analyses stratified by sex, age, comorbidities, and other conditions and sensitivity analyses by varying the length of the risk window and outcome definition. Results: Among 2,369,490 individuals who received the COVID-19 vaccination, 12 cases of KD/MIS-C were identified, which included five and seven patients in the risk and control windows, respectively. There was no increased risk of KD/MIS-C within the 60-day period of vaccination (IRR, 0.53; 95% CI, 0.17–1.60). Secondary subgroup and sensitivity analyses showed no significant increase in the risk of KD/MIS-C after COVID-19 vaccination, which is consistent with the results of the main analysis. Conclusion The results of this nationwide study suggest that the risk of developing KD/MIS-C did not increase after COVID-19 vaccination. However, owing to the lack of a sufficient number of cases, future studies utilizing multinational long-term follow-up databases should be conducted. Considering the increasing incidence of KD/MIS-C and the limited understanding of its precise biological mechanisms, additional research on KD/MIS-C is warranted.

This review explores the current status and future potential of digital therapeutics (DTx), emphasizing their role in clinical practice. It focuses on clarifying their classification, clinical applications, regulatory challenges, and prospective developments in the field.Current Concepts: Digital therapeutics are evidence-based interventions delivered via software to prevent, manage, and treat medical conditions. Unlike traditional pharmacotherapy, DTx products can be updated and modified, offering greater flexibility in treatment delivery. They are categorized into behavior-modification, physiological-modulation, and disease-management types, and are primarily applied to chronic conditions and neuropsychological disorders. Global regulatory frameworks are rapidly evolving to accommodate this burgeoning field.Discussion and Conclusion: Digital therapeutics offer significant advantages over traditional pharmacotherapy, such as lower development costs, personalized treatment options, and improved accessibility. These innovations have the potential to transform healthcare by complementing existing therapies and enabling data-driven, individualized care. However, several key challenges must be addressed for widespread adoption. Patient adherence remains inconsistent, particularly in longterm treatments, which can limit clinical effectiveness. In addition, underdeveloped reimbursement policies create economic uncertainty, and ongoing concerns regarding data security and privacy pose persistent risks. As technology advances, digital therapeutics are poised to enhance clinical outcomes, expand access to care, and transform traditional healthcare models, ultimately driving innovation in modern medicine.

This review explores the current status and future potential of digital therapeutics (DTx), emphasizing their role in clinical practice. It focuses on clarifying their classification, clinical applications, regulatory challenges, and prospective developments in the field.Current Concepts: Digital therapeutics are evidence-based interventions delivered via software to prevent, manage, and treat medical conditions. Unlike traditional pharmacotherapy, DTx products can be updated and modified, offering greater flexibility in treatment delivery. They are categorized into behavior-modification, physiological-modulation, and disease-management types, and are primarily applied to chronic conditions and neuropsychological disorders. Global regulatory frameworks are rapidly evolving to accommodate this burgeoning field.Discussion and Conclusion: Digital therapeutics offer significant advantages over traditional pharmacotherapy, such as lower development costs, personalized treatment options, and improved accessibility. These innovations have the potential to transform healthcare by complementing existing therapies and enabling data-driven, individualized care. However, several key challenges must be addressed for widespread adoption. Patient adherence remains inconsistent, particularly in longterm treatments, which can limit clinical effectiveness. In addition, underdeveloped reimbursement policies create economic uncertainty, and ongoing concerns regarding data security and privacy pose persistent risks. As technology advances, digital therapeutics are poised to enhance clinical outcomes, expand access to care, and transform traditional healthcare models, ultimately driving innovation in modern medicine.

Background: Rare cases of Kawasaki disease (KD) and multisystem inflammatory syndrome in children (MIS-C) have been reported following the coronavirus disease 2019 (COVID-19) vaccination; however, the association between COVID-19 vaccination and the risk of developing KD/MIS-C has not yet been established. Methods: We conducted a self-controlled case series analysis using a large-linked database that connects the COVID-19 immunization registry with nationwide claims data. We identified individuals aged < 18 years who received their initial COVID-19 vaccination and had a KD/MIS-C diagnosis with a prescription for intravenous immunoglobulin or corticosteroids between October 18, 2021, and April 15, 2023. The observation period was set as 240 days from the date of the COVID-19 vaccination. The risk window was 60 days after vaccination, with the remaining observation period serving as the control window. The incidence rate ratios (IRRs) and 95% confidence intervals (CIs) in the risk versus control windows were estimated using the conditional Poisson regression model. We further analyzed the vaccine doses and types for secondary analysis. We also performed subgroup analyses stratified by sex, age, comorbidities, and other conditions and sensitivity analyses by varying the length of the risk window and outcome definition. Results: Among 2,369,490 individuals who received the COVID-19 vaccination, 12 cases of KD/MIS-C were identified, which included five and seven patients in the risk and control windows, respectively. There was no increased risk of KD/MIS-C within the 60-day period of vaccination (IRR, 0.53; 95% CI, 0.17–1.60). Secondary subgroup and sensitivity analyses showed no significant increase in the risk of KD/MIS-C after COVID-19 vaccination, which is consistent with the results of the main analysis. Conclusion The results of this nationwide study suggest that the risk of developing KD/MIS-C did not increase after COVID-19 vaccination. However, owing to the lack of a sufficient number of cases, future studies utilizing multinational long-term follow-up databases should be conducted. Considering the increasing incidence of KD/MIS-C and the limited understanding of its precise biological mechanisms, additional research on KD/MIS-C is warranted.

Background: Rare cases of Kawasaki disease (KD) and multisystem inflammatory syndrome in children (MIS-C) have been reported following the coronavirus disease 2019 (COVID-19) vaccination; however, the association between COVID-19 vaccination and the risk of developing KD/MIS-C has not yet been established. Methods: We conducted a self-controlled case series analysis using a large-linked database that connects the COVID-19 immunization registry with nationwide claims data. We identified individuals aged < 18 years who received their initial COVID-19 vaccination and had a KD/MIS-C diagnosis with a prescription for intravenous immunoglobulin or corticosteroids between October 18, 2021, and April 15, 2023. The observation period was set as 240 days from the date of the COVID-19 vaccination. The risk window was 60 days after vaccination, with the remaining observation period serving as the control window. The incidence rate ratios (IRRs) and 95% confidence intervals (CIs) in the risk versus control windows were estimated using the conditional Poisson regression model. We further analyzed the vaccine doses and types for secondary analysis. We also performed subgroup analyses stratified by sex, age, comorbidities, and other conditions and sensitivity analyses by varying the length of the risk window and outcome definition. Results: Among 2,369,490 individuals who received the COVID-19 vaccination, 12 cases of KD/MIS-C were identified, which included five and seven patients in the risk and control windows, respectively. There was no increased risk of KD/MIS-C within the 60-day period of vaccination (IRR, 0.53; 95% CI, 0.17–1.60). Secondary subgroup and sensitivity analyses showed no significant increase in the risk of KD/MIS-C after COVID-19 vaccination, which is consistent with the results of the main analysis. Conclusion The results of this nationwide study suggest that the risk of developing KD/MIS-C did not increase after COVID-19 vaccination. However, owing to the lack of a sufficient number of cases, future studies utilizing multinational long-term follow-up databases should be conducted. Considering the increasing incidence of KD/MIS-C and the limited understanding of its precise biological mechanisms, additional research on KD/MIS-C is warranted.

In light of the burgeoning successes of cancer immunotherapy, glioblastoma (GBM) remains refractory due to an immunosuppressive microenvironment originating from its molecular heterogeneity. Thus, identifying promising therapeutic targets for treating GBM and discovering methodologies to effectively regulate them is still a tremendous challenge. Here we describe photodynamic protein tyrosine phosphatase 1B (PTP1B) proteolysis mediated by a proteolysis-targeting chimera (PROTAC) nanoassembly. The PTP1B-targeting PROTAC is conjugated with a photosensitizer via a cathepsin B (Cat B)-cleavable peptide, which spontaneously forms nanoassemblies due to intermolecular π-π stacking interactions. In GBM models, PROTAC nanoassemblies significantly accumulate in the tumor region across the disrupted blood-brain barrier (BBB), triggering a burst release of the photosensitizer and active PROTAC by Cat B-mediated enzymatic cleavage. Upon laser irradiation, photodynamic therapy (PDT) synergizes with PROTAC-mediated PTP1B proteolysis to induce potent immunogenic cell death (ICD) in tumor cells. Subsequently, persistent PTP1B degradation by nanoassemblies in Cat B-overexpressed intratumoral T cells downregulates exhaustion markers, reinvigorating their functionality. These sequential processes of photodynamic PTP1B proteolysis ultimately augment T cell-mediated antitumor immunity as well as protective immunity, completely eradicating the primary GBM and preventing its recurrence. Overall, our findings underscore the therapeutic potential of combining PDT with PROTAC activity for GBM immunotherapy.

Background: Obesity is a major worldwide health problem and can be related to cellular senescence. Along with the rise in obesity, the comorbidity of renal ischemia-reperfusion (IR) injury is increasing. Whether obesity accelerates the severity of IR injury and whether senescence contributes to these conditions remain unclear. We studied the degree of injury and cellular senescence in the IR kidneys and perirenal adipose tissues of high-fat-diet–induced obese mice. Methods: C57BL/6 mice fed standard chow or a high-fat diet for 16 weeks were randomized to renal IR or sham group (n = 6–10 each). Renal IR was performed by unilateral clamping of the right renal pedicle for 30 minutes. Six weeks after surgery, renal function, perirenal fat/renal senescence, and histology were evaluated ex vivo. Results: Obese mice showed more renal tubular damage and fibrosis in IR injury than control mice, even though the degree of ischemic insult was comparable. Renal expression of senescence and its secretory phenotype was upregulated in either IR injury or with a high-fat diet and was further increased in the IR kidneys of obese mice. Fat senescence and the expression of tumor necrosis factor alpha were also increased, especially in the perirenal depot of the IR kidneys, with a high-fat diet. Conclusion A high-fat diet aggravates IR injury in murine kidneys, which is associated, at least in part, with perirenal fat senescence and inflammation. These observations support the exploration of therapeutic targets of the adipo-renal axis in injured obese kidneys.