Peripheral neurodegenerative diseases induced by irreversible peripheral nerve degeneration (PND), such as diabetic peripheral neuropathy, have a high prevalence worldwide and reduce the quality of life. However, there is no agent effective against the irreversible PND. After peripheral nerve injury, Schwann cells play an important role in regulating PND. However, because PND involves multiple biochemical events in Schwann cells, a one-drug-single-target therapeutic strategy is not feasible for PND. Here, we suggested that fascaplysin (Fas), a compound with multiple targets (CDK4/6), could overcome these problems. Fas exerted a significant inhibitory effect on axonal degradation, demyelination, and Schwann cell proliferation and dedifferentiation during in vitro and ex vivo PND. To discover the most likely novel target for PND, a chemo-bioinformatics analysis predicted the other on-targets of Fas and identified androgen receptor (AR) which were involved in Schwann cell differentiation and proliferation.AR interacted with Fas, and nuclear import of the AR/Fas complex was inhibited in Schwann cells, altering the expression patterns of transcription factors during PND. Therefore, Fas may have therapeutic potential for irreversible peripheral neurodegenerative diseases.

Purpose: To develop models to predict programmed death ligand 1 (PD-L1) expression in pulmonary squamous cell carcinoma (SCC) using CT. Materials and Methods: A total of 97 patients diagnosed with SCC who underwent PD-L1 expression assay were included in this study. We performed a CT analysis of the tumors using pretreatment CT images. Multiple logistic regression models were constructed to predict PD-L1 positivity in the total patient group and in the 40 advanced-stage (≥ stage IIIB) patients. The area under the receiver operating characteristic curve (AUC) was calculated for each model. Results: For the total patient group, the AUC of the ‘total significant features model’ (tumor stage, tumor size, pleural nodularity, and lung metastasis) was 0.652, and that of the ‘selected feature model’ (pleural nodularity) was 0.556. For advanced-stage patients, the AUC of the ‘selected feature model’ (tumor size, pleural nodularity, pulmonary oligometastases, and absence of interstitial lung disease) was 0.897. Among these factors, pleural nodularity and pulmonary oligometastases had the highest odds ratios (8.78 and 16.35, respectively). Conclusion Our model could predict PD-L1 expression in patients with lung SCC, and pleural nodularity and pulmonary oligometastases were notable predictive CT features of PD-L1.

Peripheral neurodegenerative diseases induced by irreversible peripheral nerve degeneration (PND), such as diabetic peripheral neuropathy, have a high prevalence worldwide and reduce the quality of life. However, there is no agent effective against the irreversible PND. After peripheral nerve injury, Schwann cells play an important role in regulating PND. However, because PND involves multiple biochemical events in Schwann cells, a one-drug-single-target therapeutic strategy is not feasible for PND. Here, we suggested that fascaplysin (Fas), a compound with multiple targets (CDK4/6), could overcome these problems. Fas exerted a significant inhibitory effect on axonal degradation, demyelination, and Schwann cell proliferation and dedifferentiation during in vitro and ex vivo PND. To discover the most likely novel target for PND, a chemo-bioinformatics analysis predicted the other on-targets of Fas and identified androgen receptor (AR) which were involved in Schwann cell differentiation and proliferation.AR interacted with Fas, and nuclear import of the AR/Fas complex was inhibited in Schwann cells, altering the expression patterns of transcription factors during PND. Therefore, Fas may have therapeutic potential for irreversible peripheral neurodegenerative diseases.

Peripheral neurodegenerative diseases induced by irreversible peripheral nerve degeneration (PND), such as diabetic peripheral neuropathy, have a high prevalence worldwide and reduce the quality of life. However, there is no agent effective against the irreversible PND. After peripheral nerve injury, Schwann cells play an important role in regulating PND. However, because PND involves multiple biochemical events in Schwann cells, a one-drug-single-target therapeutic strategy is not feasible for PND. Here, we suggested that fascaplysin (Fas), a compound with multiple targets (CDK4/6), could overcome these problems. Fas exerted a significant inhibitory effect on axonal degradation, demyelination, and Schwann cell proliferation and dedifferentiation during in vitro and ex vivo PND. To discover the most likely novel target for PND, a chemo-bioinformatics analysis predicted the other on-targets of Fas and identified androgen receptor (AR) which were involved in Schwann cell differentiation and proliferation.AR interacted with Fas, and nuclear import of the AR/Fas complex was inhibited in Schwann cells, altering the expression patterns of transcription factors during PND. Therefore, Fas may have therapeutic potential for irreversible peripheral neurodegenerative diseases.

Purpose: To develop models to predict programmed death ligand 1 (PD-L1) expression in pulmonary squamous cell carcinoma (SCC) using CT. Materials and Methods: A total of 97 patients diagnosed with SCC who underwent PD-L1 expression assay were included in this study. We performed a CT analysis of the tumors using pretreatment CT images. Multiple logistic regression models were constructed to predict PD-L1 positivity in the total patient group and in the 40 advanced-stage (≥ stage IIIB) patients. The area under the receiver operating characteristic curve (AUC) was calculated for each model. Results: For the total patient group, the AUC of the ‘total significant features model’ (tumor stage, tumor size, pleural nodularity, and lung metastasis) was 0.652, and that of the ‘selected feature model’ (pleural nodularity) was 0.556. For advanced-stage patients, the AUC of the ‘selected feature model’ (tumor size, pleural nodularity, pulmonary oligometastases, and absence of interstitial lung disease) was 0.897. Among these factors, pleural nodularity and pulmonary oligometastases had the highest odds ratios (8.78 and 16.35, respectively). Conclusion Our model could predict PD-L1 expression in patients with lung SCC, and pleural nodularity and pulmonary oligometastases were notable predictive CT features of PD-L1.

Peripheral neurodegenerative diseases induced by irreversible peripheral nerve degeneration (PND), such as diabetic peripheral neuropathy, have a high prevalence worldwide and reduce the quality of life. However, there is no agent effective against the irreversible PND. After peripheral nerve injury, Schwann cells play an important role in regulating PND. However, because PND involves multiple biochemical events in Schwann cells, a one-drug-single-target therapeutic strategy is not feasible for PND. Here, we suggested that fascaplysin (Fas), a compound with multiple targets (CDK4/6), could overcome these problems. Fas exerted a significant inhibitory effect on axonal degradation, demyelination, and Schwann cell proliferation and dedifferentiation during in vitro and ex vivo PND. To discover the most likely novel target for PND, a chemo-bioinformatics analysis predicted the other on-targets of Fas and identified androgen receptor (AR) which were involved in Schwann cell differentiation and proliferation.AR interacted with Fas, and nuclear import of the AR/Fas complex was inhibited in Schwann cells, altering the expression patterns of transcription factors during PND. Therefore, Fas may have therapeutic potential for irreversible peripheral neurodegenerative diseases.

Purpose: To develop models to predict programmed death ligand 1 (PD-L1) expression in pulmonary squamous cell carcinoma (SCC) using CT. Materials and Methods: A total of 97 patients diagnosed with SCC who underwent PD-L1 expression assay were included in this study. We performed a CT analysis of the tumors using pretreatment CT images. Multiple logistic regression models were constructed to predict PD-L1 positivity in the total patient group and in the 40 advanced-stage (≥ stage IIIB) patients. The area under the receiver operating characteristic curve (AUC) was calculated for each model. Results: For the total patient group, the AUC of the ‘total significant features model’ (tumor stage, tumor size, pleural nodularity, and lung metastasis) was 0.652, and that of the ‘selected feature model’ (pleural nodularity) was 0.556. For advanced-stage patients, the AUC of the ‘selected feature model’ (tumor size, pleural nodularity, pulmonary oligometastases, and absence of interstitial lung disease) was 0.897. Among these factors, pleural nodularity and pulmonary oligometastases had the highest odds ratios (8.78 and 16.35, respectively). Conclusion Our model could predict PD-L1 expression in patients with lung SCC, and pleural nodularity and pulmonary oligometastases were notable predictive CT features of PD-L1.

Objectives: The Panbio COVID-19 Ag Rapid Test Device (Panbio COVID-19 Ag, Abbott Rapid Diagnostics) is a lateral flow immunochromatographic assay targeting the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleoprotein in nasopharyngeal specimens for the diagnosis of coronavirus disease 2019 (COVID-19). This study aimed to verify the performance of the Panbio COVID-19 Ag for implementation in clinical laboratories. Methods: Sixty nasopharyngeal swab specimens (30 positive and 30 negative) dipped in transport medium, and COVID-19 was confirmed using real-time RT-PCR using Allplex SARS-CoV-2 assay (Seegene), were tested using the Panbio COVID-19 Ag. Reproducibility was evaluated using positive and negative control materials. Sensitivity and specificity were calculated based on the results of realtime RT-PCR as the standard test method. Results: Reproducibility was confirmed by the consistent results of repeated tests of the quality control materials. The overall sensitivity and specificity of Panbio COVID-19 Ag were 50.0% and 100.0%, respectively. Panbio COVID-19 Ag demonstrated high sensitivity (88.2%) in analyzing the detection limit cycle threshold (Ct) value of 26.67 provided by the manufacturer as a positive criterion, and the sensitivity was 100.0% for the positive criterion of Ct values <25, although it was less sensitive for Ct ≥ 25. Conclusion Considering the high sensitivity for positive samples with Ct values <25 and the rapid turnaround of results, Panbio COVID-19 Ag can be used in clinical laboratories to diagnose COVID-19 in limited settings.

Objective: To elucidate whether clinical features and the weighted genetic risk score (wGRS) were associated with the presence of lupus nephritis (LN). Methods: We retrospectively divided patients with systemic lupus erythematosus (SLE, n=1,078) into biopsy-proven LN (n=507) and non-LN groups (non-LN, n=571). Baseline clinical features, serologic markers, and the wGRS were collected. The wGRS was calculated from 112 non-human leukocyte antigen (non-HLA) loci and HLA-DRβ1 amino acid haplotypes for SLE. Associations among clinical features, wGRS, and the presence of LN were identified. Results: In the multivariate analysis, patients with LN were younger at diagnosis (odds ratio [OR]=0.97, p＜0.001), had more pleuritis (OR=2.44, p＜0.001) and pericarditis (OR=1.62, p=0.029), had a higher detection rate of anti-double stranded deoxyribonucleic acid (anti-dsDNA antibodies, OR=2.22, p＜0.001), anti-Smith antibodies (anti-Sm antibodies, OR=1.70, p=0.002), low level of complement (OR=1.37, p=0.043) and absence of antiphospholipid antibodies (aPL antibodies, OR=1.60, p=0.002), and had higher wGRS (OR=1.16, p=0.012). Mediation analysis suggested that anti-Sm antibodies and low complement could be mediators in the relationship between high wGRS and the presence of LN. Conclusion Onset age, pleuritis, pericarditis, several serologic markers, and wGRS were associated with the presence of LN. Anti-Sm antibodies and low complement appeared to mediate the indirect relationship between wGRS and the presence of LN.

Background: The number of elderly people with comorbidities who experience dysphagia associated with geriatric disorders, such as stroke, Parkinson’s disease, and Alzheimer’s dementia, is increasing. Consequently, the demand for long-term prescriptions of powdered medications is expected to rise. Most patients procure repackaged prescription medications from pharmacies; however, the guidelines regarding their expiration dates are unclear. Objectives: The aim of this study was to assess awareness among adults regarding the expiration dates and drug stability issues associated with repackaged prescription medications, including powdered medications. Methods: A questionnaire with 16 components was designed and distributed online (August 1-September 1, 2019) to adults aged 19 years or older. Statistical analyses, including descriptive analysis and chi-square test, were conducted on the obtained data. A p-value <0.05 was considered significant. Results: Data from 254 respondents were analyzed; 191 (75.20%) respondents worked in non-healthcare-related fields. A significant number of healthcare workers recognized the stability issues associated with powdered medications (p<0.001). However, a large proportion of healthcare workers were not aware of the expiration dates (p>0.05). Conclusions More than half of the total respondents, including healthcare workers, were not familiar with the appropriate expiration dates of repackaged prescription medications. The establishment of evidence-based guidelines regarding drug expiration dates and the dissemination of awareness among patients are required. Furthermore, clinical practices including repackaging or pulverizing medications for long-term prescriptions should be avoided owing to the associated drug stability issues.