Background: Patients with diabetic hindfoot ulcers typically harbor significant concerns regarding their prospects for healing or the potential for major amputation. Nonetheless, a scarcity of data addressing this prevalent and critical query exists. Thus, the aim of this study was to create an initial risk-scoring system to forecast the prognosis of individuals with diabetic hindfoot ulcers, leveraging assessments of ischemia and infection severity, which are recognized as the principal risk factors for amputation. Methods: Ischemia severity was categorized as iS0, iS1, or iS2 based on transcutaneous partial oxygen tension values, while infection severity was classified as iN0, iN1, or iN2 according to the results of tissue and bone biopsy cultures. Risk scores were determined by summing the scores for ischemia and infection severity, yielding a range of 0 to 4. Wound healing outcomes were graded as either healed with or without major amputation. Wound healing outcomes were assessed based on the assigned risk scores. Results: With ascending risk scores, the proportion of patients subjected to major amputation also increased (P value for trend < 0.001). Univariable logistic regression analysis revealed a significant positive correlation between escalating risk scores and major amputation incidence. Patients with a risk score of 4 exhibited a 41-fold higher likelihood of undergoing major amputation compared to those with a risk score of 0. Conclusion Risk scores can serve as a reliable predictor of the major amputation rate in patients with diabetic hindfoot ulcers.

Background: Patients with diabetic hindfoot ulcers typically harbor significant concerns regarding their prospects for healing or the potential for major amputation. Nonetheless, a scarcity of data addressing this prevalent and critical query exists. Thus, the aim of this study was to create an initial risk-scoring system to forecast the prognosis of individuals with diabetic hindfoot ulcers, leveraging assessments of ischemia and infection severity, which are recognized as the principal risk factors for amputation. Methods: Ischemia severity was categorized as iS0, iS1, or iS2 based on transcutaneous partial oxygen tension values, while infection severity was classified as iN0, iN1, or iN2 according to the results of tissue and bone biopsy cultures. Risk scores were determined by summing the scores for ischemia and infection severity, yielding a range of 0 to 4. Wound healing outcomes were graded as either healed with or without major amputation. Wound healing outcomes were assessed based on the assigned risk scores. Results: With ascending risk scores, the proportion of patients subjected to major amputation also increased (P value for trend < 0.001). Univariable logistic regression analysis revealed a significant positive correlation between escalating risk scores and major amputation incidence. Patients with a risk score of 4 exhibited a 41-fold higher likelihood of undergoing major amputation compared to those with a risk score of 0. Conclusion Risk scores can serve as a reliable predictor of the major amputation rate in patients with diabetic hindfoot ulcers.

Background: Patients with diabetic hindfoot ulcers typically harbor significant concerns regarding their prospects for healing or the potential for major amputation. Nonetheless, a scarcity of data addressing this prevalent and critical query exists. Thus, the aim of this study was to create an initial risk-scoring system to forecast the prognosis of individuals with diabetic hindfoot ulcers, leveraging assessments of ischemia and infection severity, which are recognized as the principal risk factors for amputation. Methods: Ischemia severity was categorized as iS0, iS1, or iS2 based on transcutaneous partial oxygen tension values, while infection severity was classified as iN0, iN1, or iN2 according to the results of tissue and bone biopsy cultures. Risk scores were determined by summing the scores for ischemia and infection severity, yielding a range of 0 to 4. Wound healing outcomes were graded as either healed with or without major amputation. Wound healing outcomes were assessed based on the assigned risk scores. Results: With ascending risk scores, the proportion of patients subjected to major amputation also increased (P value for trend < 0.001). Univariable logistic regression analysis revealed a significant positive correlation between escalating risk scores and major amputation incidence. Patients with a risk score of 4 exhibited a 41-fold higher likelihood of undergoing major amputation compared to those with a risk score of 0. Conclusion Risk scores can serve as a reliable predictor of the major amputation rate in patients with diabetic hindfoot ulcers.

Background: Patients with diabetic hindfoot ulcers typically harbor significant concerns regarding their prospects for healing or the potential for major amputation. Nonetheless, a scarcity of data addressing this prevalent and critical query exists. Thus, the aim of this study was to create an initial risk-scoring system to forecast the prognosis of individuals with diabetic hindfoot ulcers, leveraging assessments of ischemia and infection severity, which are recognized as the principal risk factors for amputation. Methods: Ischemia severity was categorized as iS0, iS1, or iS2 based on transcutaneous partial oxygen tension values, while infection severity was classified as iN0, iN1, or iN2 according to the results of tissue and bone biopsy cultures. Risk scores were determined by summing the scores for ischemia and infection severity, yielding a range of 0 to 4. Wound healing outcomes were graded as either healed with or without major amputation. Wound healing outcomes were assessed based on the assigned risk scores. Results: With ascending risk scores, the proportion of patients subjected to major amputation also increased (P value for trend < 0.001). Univariable logistic regression analysis revealed a significant positive correlation between escalating risk scores and major amputation incidence. Patients with a risk score of 4 exhibited a 41-fold higher likelihood of undergoing major amputation compared to those with a risk score of 0. Conclusion Risk scores can serve as a reliable predictor of the major amputation rate in patients with diabetic hindfoot ulcers.

Purpose: We aimed to comprehensively analyze the immune cell and stromal components of tumor microenvironment at the single-cell level and identify tumor heterogeneity among the major top-derived oncogene mutations in non-small cell lung cancer (NSCLC) using single-cell RNA sequencing (scRNA-seq) data. Materials and Methods: The scRNA-seq dataset utilized in this study comprised 64369 primary tumor tissue cells from 21 NSCLC patients, focusing on mutations in EGFR, ALK, BRAF, KRAS, TP53, and the wild-type. Results: Tumor immune microenvironment (TIM) analysis revealed differential immune responses across NSCLC mutation subtypes. TIM analysis revealed different immune responses across the mutation subtypes. Two mutation clusters emerged: KRAS, TP53, and EGFR+TP53 mutations (MC1); and EGFR, BRAF, and ALK mutations (MC2). MC1 showed higher tertiary lymphoid structures signature scores and enriched populations of C2-T-IL7R, C3-T/NK-CXCL4, C9-T/NK-NKG, and C1-B-MS4A1 clusters than cluster 2. Conversely, MC2 cells exhibited higher expression levels of TNF, IL1B, and chemokines linked to alternative immune pathways. Remarkably, co-occurring EGFR and TP53 mutations were grouped as MC1. EGFR+TP53 mutations showed upregulation of peptide synthesis and higher synthetic processes, as well as differences in myeloid and T/NK cells compared to EGFR mutations. In T/NK cells, EGFR+TP53 mutations showed a higher expression of features related to cell activity and differentiation, whereas EGFR mutations showed the opposite. Conclusion Our research indicates a close association between mutation types and tumor microenvironment in NSCLC, offering insights into personalized approaches for cancer diagnosis and treatment.

Purpose: By utilizing both protein and mRNA expression patterns, we can identify more detailed and diverse immune cells, providing insights into understanding the complex immune landscape in cancer ecosystems. Materials and Methods: This study was performed by obtaining publicly available Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq) data of peripheral blood mononuclear cells (PBMCs) from the Gene Expression Omnibus database. A total of 94674 total cells were analyzed, of which 32412 were T cells. There were 228 protein features and 16262 mRNA features in the data.The Seurat package was used for quality control and preprocessing, principal component analysis was performed, and Uniform Manifold Approximation and Projection was used to visualize the clusters. Protein and mRNA levels in the CITE-seq were analyzed. Results: We observed that a subset of T cells in the clusters generated at the protein level divided better. By identifying mRNA markers that were highly correlated with the CD4 and CD8 proteins and cross-validating CD26 and CD99 markers using flow cytometry, we found that CD4 + and CD8+ T cells were better discriminated in PBMCs. Weighted Nearest Neighbor clustering results identified a previously unobserved T cell subset. Conclusion In this study, we used CITE-seq data to confirm that protein expression patterns could be used to identify cells more precisely. These findings will improve our understanding of the heterogeneity of immune cells in the future and provide valuable insights into the complexity of the immune response in health and disease.

Background: Recent diabetes management guidelines recommend that sodium-glucose cotransporter 2 inhibitors (SGLT2is) or glucagon-like peptide 1 receptor agonists (GLP-1RAs) with proven cardiovascular benefits should be prioritized for combination therapy in patients with type 2 diabetes mellitus (T2DM) and established cardiovascular disease (CVD). This study was aimed at evaluating SGLT2i or GLP-1RA usage rates and various related factors in patients with T2DM and established CVD. Methods: We enrolled adults with T2DM aged ≥30 years who were hospitalized due to established CVD from January 2019 to May 2020 at 13 secondary and tertiary hospitals in Korea in this retrospective observational study. Results: Overall, 2,050 patients were eligible for analysis among 2,107 enrolled patients. The mean patient age, diabetes duration, and glycosylated hemoglobin level were 70.0 years, 12.0 years, and 7.5%, respectively. During the mean follow-up duration of 9.7 months, 25.7% of the patients were prescribed SGLT2is after CVD events. However, only 1.8% were prescribed GLP-1RAs. Compared with SGLT2i non-users, SGLT2i users were more frequently male and obese. Furthermore, they had a shorter diabetes duration but showed worse glycemic control and better renal function at the time of the event. GLP-1RA users had a longer duration of diabetes and worse glycemic control at the time of the event than GLP-1RA non-users. Conclusion The SGLT2i or GLP-1RA prescription rates were suboptimal in patients with T2DM and established CVD. Sex, body mass index, diabetes duration, glycemic control, and renal function were associated with the use of these agents.

Purpose: We aimed to comprehensively analyze the immune cell and stromal components of tumor microenvironment at the single-cell level and identify tumor heterogeneity among the major top-derived oncogene mutations in non-small cell lung cancer (NSCLC) using single-cell RNA sequencing (scRNA-seq) data. Materials and Methods: The scRNA-seq dataset utilized in this study comprised 64369 primary tumor tissue cells from 21 NSCLC patients, focusing on mutations in EGFR, ALK, BRAF, KRAS, TP53, and the wild-type. Results: Tumor immune microenvironment (TIM) analysis revealed differential immune responses across NSCLC mutation subtypes. TIM analysis revealed different immune responses across the mutation subtypes. Two mutation clusters emerged: KRAS, TP53, and EGFR+TP53 mutations (MC1); and EGFR, BRAF, and ALK mutations (MC2). MC1 showed higher tertiary lymphoid structures signature scores and enriched populations of C2-T-IL7R, C3-T/NK-CXCL4, C9-T/NK-NKG, and C1-B-MS4A1 clusters than cluster 2. Conversely, MC2 cells exhibited higher expression levels of TNF, IL1B, and chemokines linked to alternative immune pathways. Remarkably, co-occurring EGFR and TP53 mutations were grouped as MC1. EGFR+TP53 mutations showed upregulation of peptide synthesis and higher synthetic processes, as well as differences in myeloid and T/NK cells compared to EGFR mutations. In T/NK cells, EGFR+TP53 mutations showed a higher expression of features related to cell activity and differentiation, whereas EGFR mutations showed the opposite. Conclusion Our research indicates a close association between mutation types and tumor microenvironment in NSCLC, offering insights into personalized approaches for cancer diagnosis and treatment.

Purpose: We aimed to comprehensively analyze the immune cell and stromal components of tumor microenvironment at the single-cell level and identify tumor heterogeneity among the major top-derived oncogene mutations in non-small cell lung cancer (NSCLC) using single-cell RNA sequencing (scRNA-seq) data. Materials and Methods: The scRNA-seq dataset utilized in this study comprised 64369 primary tumor tissue cells from 21 NSCLC patients, focusing on mutations in EGFR, ALK, BRAF, KRAS, TP53, and the wild-type. Results: Tumor immune microenvironment (TIM) analysis revealed differential immune responses across NSCLC mutation subtypes. TIM analysis revealed different immune responses across the mutation subtypes. Two mutation clusters emerged: KRAS, TP53, and EGFR+TP53 mutations (MC1); and EGFR, BRAF, and ALK mutations (MC2). MC1 showed higher tertiary lymphoid structures signature scores and enriched populations of C2-T-IL7R, C3-T/NK-CXCL4, C9-T/NK-NKG, and C1-B-MS4A1 clusters than cluster 2. Conversely, MC2 cells exhibited higher expression levels of TNF, IL1B, and chemokines linked to alternative immune pathways. Remarkably, co-occurring EGFR and TP53 mutations were grouped as MC1. EGFR+TP53 mutations showed upregulation of peptide synthesis and higher synthetic processes, as well as differences in myeloid and T/NK cells compared to EGFR mutations. In T/NK cells, EGFR+TP53 mutations showed a higher expression of features related to cell activity and differentiation, whereas EGFR mutations showed the opposite. Conclusion Our research indicates a close association between mutation types and tumor microenvironment in NSCLC, offering insights into personalized approaches for cancer diagnosis and treatment.