Risk of Infection in Type 1 and Type 2 Diabetes Compared With the General Population: A Matched Cohort Study

Vascular actions of Ang 1-7 and Ang 1-8 through EDRFs and EDHFs in non-diabetes and diabetes mellitus

The renin-angiotensin system (RAS) plays a pivotal role in regulating vascular homeostasis, while angiotensin 1-8 (Ang 1-8) traditionally dominates as a vasoconstrictor factor. However, the discovery of angiotensin 1-7 (Ang 1-7) and Ang 1-8 has revealed counter-regulatory mechanisms mediated through endothelial-derived relaxing factors (EDRFs) and endothelial-derived hyperpolarizing factors (EDHFs). This review delves into the vascular actions of Ang 1-7 and Ang 1-8 in both non-diabetes mellitus (non-DM) and diabetes mellitus (DM) conditions, highlighting their effects on vascular endothelial cell (VECs) function as well. In a non-DM vasculature context, Ang 1-8 demonstrate dual effect including vasoconstriction and vasodilation, respectively. Additionally, Ang 1-7 induces vasodilation upon nitric oxide (NO) production as a prominent EDRFs in distinct mechanisms. Further research elucidating the precise mechanisms underlying the vascular actions of Ang 1-7 and Ang 1-8 in DM will facilitate the development of tailored therapeutic interventions aimed at preserving vascular health and preventing cardiovascular complications.

Vaccination of people with solid tumors and diabetes: existing evidence and recommendations. A position statement from a multidisciplinary panel of scientific societies

Diabetes and cancer are two of the most common public health concerns worldwide. The complex interplay of these two conditions is a growing area of research, as patients with diabetes are at increased risk for developing cancer, and vice versa. Furthermore, both patient populations show increased risk of many communicable infectious diseases and their adverse consequences, while vaccination can play a crucial role in their prevention, improving patient outcomes. Vaccination should represent a standard part of care for patients with cancer, diabetes, and both the diseases simultaneously, including people undergoing cancer treatment or in remission. Several international guidelines provide recommendations for vaccinating people with cancer or diabetes, but the two conditions have not been specifically evaluated together. Here we present a multidisciplinary consensus position paper on vaccination in patients with cancer and diabetes. The position paper is the result of a collaborative effort between experts from the Italian Association of Medical Oncology (AIOM), Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), Italian Society of Endocrinology (SIE), and Italian Society of Pharmacology (SIF). The paper provides a comprehensive overview of the current state-of-the-art knowledge on vaccination in patients with cancer and diabetes. It discusses the importance of vaccination in preventing infections, focuses attention on the need to consider the unique challenges faced by patients with cancer and diabetes when it comes to vaccine administration, and highlights the need for coordinated care to optimize treatment outcomes. Overall, the consensus position paper provides healthcare professionals caring for patients with cancer and diabetes recommendations on the use of various vaccines, including influenza, COVID-19, HZV, and HPV vaccines, as well as guidance on how to address common concerns and challenges related to vaccine administration.

Vaccinome Landscape in Nearly 620 000 Patients With Diabetes

CONTEXT

Type 1 (T1D) and type 2 diabetes (T2D) are associated with an elevated incidence of infectious diseases and a higher risk of infections-related hospitalization and death.

OBJECTIVE

In this study, we delineated the "vaccinome" landscape obtained with a large immunization schedule offered by the Regional Government of Lombardy in a cohort of 618 396 patients with diabetes (T1D and T2D).

METHODS

Between September 2021 and September 2022, immunization coverage for influenza, meningococcus, pneumococcus, and herpes zoster was obtained from the public computerized registry of the health care system of Lombardy Region (Italy) in 618 396 patients with diabetes and in 9 534 087 subjects without diabetes. Type of diabetes, age, mortality, and hospitalizations were retrospectively analyzed in vaccinated and unvaccinated patients.

RESULTS

Among patients with diabetes (T1D and T2D), 44.6% received the influenza vaccine, 10.9% the pneumococcal vaccine, 2.5% the antimeningococcus vaccine, and 0.7% the antizoster vaccine. Patients with diabetes immunized for influenza, zoster, and meningococcus showed a 2-fold overall reduction in mortality risk and a decrease in hospitalizations. A 3-fold lower risk of mortality and a decrease in hospitalizations for both cardiac and pulmonary causes were also observed after influenza, zoster, and meningococcus immunization in older patients with diabetes.

CONCLUSION

Immunization coverage is still far from the recommended targets in patients with diabetes. Despite this, influenza vaccination protected nearly 3800 per 100 000 patients with diabetes from risk of death. The overall impressive decrease in mortality and hospitalizations observed in vaccinated patients strengthens the need for scaling up the "vaccinome" landscape in patients with diabetes.

Application of an interpretable machine learning method to predict the risk of death during hospitalization in patients with acute myocardial infarction combined with diabetes mellitus

BACKGROUND

Predicting the prognosis of patients with acute myocardial infarction (AMI) combined with diabetes mellitus (DM) is crucial due to high in-hospital mortality rates. This study aims to develop and validate a mortality risk prediction model for these patients by interpretable machine learning (ML) methods.

METHODS

Data were sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 2.2). Predictors were selected by Least absolute shrinkage and selection operator (LASSO) regression and checked for multicollinearity with Spearman's correlation. Patients were randomly assigned to training and validation sets in an 8:2 ratio. Seven ML algorithms were used to construct models in the training set. Model performance was evaluated in the validation set using metrics such as area under the curve (AUC) with 95% confidence interval (CI), calibration curves, precision, recall, F1 score, accuracy, negative predictive value (NPV), and positive predictive value (PPV). The significance of differences in predictive performance among models was assessed utilising the permutation test, and 10-fold cross-validation further validated the model's performance. SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME) were applied to interpret the models.

RESULTS

The study included 2,828 patients with AMI combined with DM. Nineteen predictors were identified through LASSO regression and Spearman's correlation. The Random Forest (RF) model was demonstrated the best performance, with an AUC of 0.823 (95% CI: 0.774-0.872), high precision (0.867), accuracy (0.873), and PPV (0.867). The RF model showed significant differences (p < 0.05) compared to the K-Nearest Neighbours and Decision Tree models. Calibration curves indicated that the RF model's predicted risk aligned well with actual outcomes. 10-fold cross-validation confirmed the superior performance of RF model, with an average AUC of 0.828 (95% CI: 0.800-0.842). Significant Variables in RF model indicated that the top eight significant predictors were urine output, maximum anion gap, maximum urea nitrogen, age, minimum pH, maximum international normalised ratio (INR), mean respiratory rate, and mean systolic blood pressure.

CONCLUSION

This study demonstrates the potential of ML methods, particularly the RF model, in predicting in-hospital mortality risk for AMI patients with DM. The SHAP and LIME methods enhance the interpretability of ML models.

Blood glucose management in hospitalized patients: a review of current literature

Diabetes mellitus is a chronic medical condition which affects millions of adults worldwide. It can result in various complications and is associated with a higher rate of hospitalizations. Blood glucose management in hospitalized patients is a critical aspect of care, which is important for preventing complications, improving patient outcomes, and reducing the length of hospital stay. Blood glucose control is difficult to achieve secondary to multiple factors involved in its regulation (e.g. type of medical illness, corticosteroid use, and enteral feeding) as well as varying evidence to determine different aspects of it. Our goal is to summarize the existing evidence from observational studies, clinical trials, and various society guidelines on blood glucose management in the hospitalized setting.

Metabolic Dysfunction-Associated Steatotic Liver Disease Increases the Risk of Severe Infection: A Population-Based Cohort Study

BACKGROUND AND AIMS

Metabolic dysfunction-associated steatotic liver disease (MASLD) is linked to various intrahepatic and extrahepatic diseases, but its association with severe infectious disease remains to be investigated.

METHODS

We analysed data from the Shanghai Suburban Adult Cohort and Biobank, encompassing participants enrolled in 2016 and 2017 with available abdominal ultrasonography data, and followed them up until December 2022 (median follow-up = 5.71 years). We categorised the participants into the MASLD group and those without steatotic liver disease (non-SLD). Multivariable-adjusted Cox regression was used to estimate hazard ratios (HR) for severe infections in patients with MASLD compared to the non-SLD group. Cumulative incidences were calculated while accounting for competing risks (non-infection-related deaths). Mediation analyses were performed to explore the roles of cardiometabolic risk factors in the association between MASLD and severe infections.

RESULTS

Among the 33 072 eligible participants (mean age 56.37 years; 38.20% male), 11 908 (36.01%) were diagnosed with MASLD at baseline. Severe infections occurred in 912 (7.66%) MASLD patients and 1258 (5.94%) non-SLD. The rate of severe infections per 1000 person-years was higher in MASLD patients (13.58) than in comparators (10.48) (fully adjusted HR 1.18, 95% CI 1.07-1.30). The most frequent infections in MASLD were respiratory (7.25/1000 person-years) and urinary tract infections (2.61/1000 person-years). The 5-year cumulative incidence of severe infections was 6.79% (95% CI 6.36-7.26) in MASLD and 5.08% (95% CI 4.79-5.38) in comparators. Cardiometabolic risk factors, including waist circumference, triglycerides and HbA1C, partially mediate the association between MASLD and severe infections.

CONCLUSIONS

Patients with MASLD were at significantly higher risk of incident severe infections compared to the non-SLD group. Future studies are needed to elucidate the mechanisms linking MASLD to severe infections.

Mendelian randomization study highlights the role of hematological traits on Type-2 diabetes mellitus in African ancestry individuals

Introduction

Observational studies have identified associations between hematological traits and type-2 diabetes mellitus (T2D). However, it is difficult to infer causal effects due to the potential of confounding. Our study utilizes the Mendelian randomization (MR) approach to address the above limitation and investigate the causal effect of hematological traits such as white blood cell (WBC), platelets (PLT), and red blood cell (RBC) on T2D in individuals of African ancestry.

Methods

The participating cohorts included participants of African ancestry in the Blood Cell consortium and the Million Veteran Program dataset. Using GWAS summary statistics, we applied a univariable and multivariable Two-sample MR to estimate the causal relationship between hematological traits and T2D.

Results

In the main IVW MR estimates, genetically predicted levels of mean corpuscular hemoglobin concentration (MCHC), mean corpuscular hemoglobin (MCH), and mean corpuscular volume (MCV) were associated with decreased risk of T2D. We also observed a decreased risk of T2D with genetically predicted total WBC count and neutrophil count (NEU), for the WBC traits. The multivariable analysis further supported the direct associations of genetically predicted MCH, MCHC, and MCV levels with a decreased risk of T2D. For the European ancestry, a similar pattern of association was observed for MCH and MCV.

Discussion

These findings indicate that hematological traits may differentially play a role in the development of T2D and be affected by T2D. However, further research is needed to validate and explore the biological pathways and mechanisms involved in these associations.

BMP-Dependent Mobilization of Fatty Acid Metabolism Promotes Caenorhabditis elegans Survival on a Bacterial Pathogen

The Bone Morphogenetic Proteins (BMPs) are secreted peptide ligands of the Transforming Growth Factor beta (TGF-β) family, initially identified for their roles in development and differentiation across animal species. They are now increasingly recognized for their roles in physiology and infectious disease. In the nematode Caenorhabditis elegans, the BMP ligand DBL-1 controls fat metabolism and immune response, in addition to its roles in body size regulation and development. DBL-1 regulates classical aspects of innate immunity, including the induction of anti-microbial peptides. We theorized that BMP-dependent regulation of fat metabolism could also promote resilience against microbial pathogens. We found that exposure to a bacterial pathogen alters total fat stores, lipid droplet dynamics, and lipid metabolism gene expression in a BMP-dependent manner. We further showed that fatty acid desaturation plays a major role in survival on a bacterial pathogen, while fatty acid β-oxidation plays a more minor role. We conclude that C. elegans mobilizes fatty acid metabolism in response to pathogen exposure to promote survival. Our investigation provides a framework to study potential metabolic interventions that could support therapeutics that are complementary to antibiotic strategies.

Disorders of gut microbiota and fecal-serum metabolic patterns are associated with pulmonary tuberculosis and pulmonary tuberculosis comorbid type 2 diabetes mellitus

Pulmonary tuberculosis (PTB) and diabetes mellitus (DM) are prevalent chronic diseases with substantial implications for human health. DM patients are more susceptible to PTB, which exacerbates diabetes-related complications. However, the complex molecular mechanisms underlying the enhanced susceptibility of DM patients to PTB infection remain poorly understood. In this study, α- and β-diversity of gut microbiota was significantly reduced in PTB patients and PTB-DM patients. The abundances of families Lachnospiraceae and Ruminococcaceae in the the Firmicutes phylum were reduced in PTB patients and further diminished in PTB-DM patients. On the other hand, untargeted metabolomics in frozen serum and stool samples indicated that phenylalanine, tyrosine, and tryptophan biosynthesis, metabolites of arginine, proline, tryptophan, and histidine were consistently altered in PTB patients and PTB-DM patients, with significant upregulation of most metabolites. Amino acids like serine, proline, and histidine were both remarkably elevated in PTB and PTB-DM patients. The correlation network analysis reveals the relationships between the shared microbial biomarkers and the shared metabolic pathways. This research contributes to the exploration of pivotal diagnostic biomarkers for both patients with PTB and PTB accompanied by diabetes. Specifically, shared reductions were identified in the genera g-Roseburia, g-Ruminococcaceae_UCG.013, g-Ruminococcaceae_NK4A214, g-Lachnospiraceae_unclassified, and g-Firmicutes_unclassified in addition to notable regulation of amino acids, like glycine, serine, and histidine in patients with PTB and PTB-DM. Our study expands the comprehension of the intricate connections linking gut microbiota, fecal metabolites, and serum metabolites in PTB and PTB-DM patients.

IMPORTANCE

This study expands the understanding of the complex links between gut microbiota, fecal metabolites, and serum metabolites in patients with PTB and PTB-DM through multi-omics techniques. It is helpful for us to understand the complex molecular mechanism of increased susceptibility to PTB infection in diabetic patients.

Incidence and Risk of Infections in Patients With Radiographic Axial Spondyloarthritis Receiving Biologic Therapies: A Prospective Observational Study Using the KOBIO Registry

OBJECTIVE

This study aimed to assess the occurrence of infection and risk factors among patients with radiographic axial spondyloarthritis (r-axSpA) treated with biologics in a real-world setting.

METHODS

This prospective observational cohort study included patients with r-axSpA from the Korean College of Rheumatology Biologics (KOBIO) registry who initiated or switched to a biologic agent between December 2012 and December 2023. The primary outcome was the first occurrence of any infection, ranging from mild to severe, classified by organ system. The infection rates per 1000 person-years (PY), with 95% CI, were calculated using the Poisson distribution method. Cox proportional hazard regression models-adjusted for confounders-estimated hazard ratios for infection risk, considering only the first infection event.

RESULTS

This analysis included 2129 patients with a total of 7107.67 PY of follow-up. The predominant infections observed were of the upper and lower respiratory tract (25.89/1000 PY), followed by herpes zoster (HZ; 6.13/1000 PY). Multivariate Cox regression analysis revealed significant risk factors for infection, including advanced age, ischemic heart disease (IHD), diabetes mellitus (DM) with complications, chronic kidney disease (CKD), and peripheral arthritis. In contrast, male sex was identified as a protective factor against the development of infections.

CONCLUSION

The infection rate was 39.39 events/1000 PY, with respiratory tract infections being most common, followed by HZ. Significant risk factors for the occurrence of infection in patients with r-axSpA treated with biologics included advanced age, female sex, IHD, DM with complications, CKD, and peripheral arthritis. These findings emphasize infection risk assessment, particularly in high-risk patients, to optimize the safety of biologic therapy in r-axSpA.

Elevated risk of infection in individuals with hyperinsulinaemic type 2 diabetes: a Danish 12 year cohort study

AIMS/HYPOTHESIS

A better understanding of the mechanisms underlying an elevated infection risk in individuals with type 2 diabetes is needed to guide risk stratification and prevention. We investigated the risk of infection in subgroups of individuals with type 2 diabetes according to indices of insulin sensitivity and beta cell function.

METHODS

We classified 7265 individuals with recently diagnosed type 2 diabetes (median duration 1.4 years, IQR 0.5-2.9 years) into hyperinsulinaemic (high beta cell function [HOMA 2-beta-cell function, HOMA2-B], low insulin sensitivity [HOMA 2-insulin sensitivity, HOMA2-S]), classical (low HOMA2-B, low HOMA2-S) and insulinopenic (low HOMA2-B, high HOMA2-S) type 2 diabetes. Individuals were followed until first hospital-treated infection or first prescription for an anti-infective agent (community-treated infection). We used Cox regression analysis to estimate HRs adjusted for age, sex, index year, diabetes duration and treatment, lifestyle behaviours and comorbidities.

RESULTS

Among study participants, 28% had hyperinsulinaemic, 63% had classical and 9% had insulinopenic type 2 diabetes. The 10 year risks of hospital-treated infections were 42.3%, 36.8% and 31.0% in the three subgroups, respectively. Compared with the insulinopenic subgroup, adjusted HRs for hospital-treated infections were elevated for hyperinsulinaemic (1.38 [95% CI 1.16, 1.65]) and classical type 2 diabetes (1.20 [95% CI 1.02, 1.42]). The 10 year risks of community-treated infections were high in all three subgroups at 91.6%, 90.1% and 88.3%, respectively, corresponding to adjusted HRs of 1.20 (95% CI 1.08, 1.33) for the hyperinsulinaemic and 1.10 (95% CI 1.00, 1.21) for the classical subgroup. Infection risk in the hyperinsulinaemic subgroup decreased substantially when further adjusted for abdominal obesity, metabolic derangements and low-grade inflammation.

CONCLUSIONS/INTERPRETATION

The risk of severe infections is clearly elevated in individuals with type 2 diabetes characterised by a higher degree of insulin resistance/hyperinsulinaemia.

Exploring the Therapeutic Potential of Antibiotics in Hyperglycemia-Induced Macrophage Dysfunctions

Background: Diabetes mellitus exacerbates immune dysfunction, leading to higher susceptibility to infections. This study investigated the effects of antibiotics on macrophage functions under high glucose conditions to mimic a diabetic context. Methods: Using murine macrophage cell line RAW 264.7, the present study evaluated the cytotoxicity, phagocytosis, bactericidal activity, and pro-inflammatory cytokine production after treatment with four antibiotics: oxytetracycline, ciprofloxacin, sulfamethoxazole-trimethoprim, and cefotaxime. Results: All antibiotics demonstrated no cytotoxicity across 1×-8× MIC concentrations. Hyperglycemia significantly impaired macrophage phagocytosis and bactericidal activity while inducing pro-inflammatory mediator markers, IL-1, IL-6, TNF-α, and iNOS. Only ciprofloxacin significantly improved phagocytic achieving levels comparable to the low glucose control. Treatments with ciprofloxacin, sulfamethoxazole-trimethoprim, and cefotaxime significantly enhanced bactericidal activity without altering the pro-inflammatory cytokine profile. Conclusions: These findings underscore the negative effect of high glucose on macrophage functions and suggest that ciprofloxacin may be a potential therapeutic option for diabetes-associated infections.

Diabetes potentiates the emergence and expansion of antibiotic resistance

Individuals with diabetes mellitus frequently develop severe skin and soft tissue infections (SSTIs) that are recalcitrant to antibiotic treatment. We examined how diabetes affects the emergence of antibiotic resistance in a Staphylococcus aureus SSTI. We determined that S. aureus evolves antibiotic resistance rapidly in diabetic mice, while resistance did not occur in nondiabetic mice over the course of infection. Diabetes-associated immune cell dysfunction plays a minor role in the emergence of resistance, while hyperglycemia plays a dominant role facilitating the expansion and takeover of resistant mutants in diabetic infections. Furthermore, vancomycin intermediate resistant isolates display a pronounced fitness defect in nondiabetic mice but not in diabetic mice. Together, these data suggest that the diabetic infection environment represents an ideal reservoir for the emergence and proliferation of antibiotic resistance. Controlling the blood sugar of diabetic mice with insulin resulted in significantly decreased incidence of antibiotic-resistant S. aureus.

Hospitalisation from seasonal influenza among persons with type 1 diabetes: a cohort study from the Swedish National Diabetes Register

OBJECTIVES

The aim of this study was to investigate the risk of severe influenza resulting in hospitalisation among adults with type 1 diabetes (T1D).

DESIGN

Nationwide cohort study using register data.

SETTINGS

Data from the National Diabetes Register (NDR) linked to the Swedish Patient Register, Statistics Sweden and the Swedish Population Register.

PARTICIPANTS

Persons with T1D in the Swedish NDR n=35 596 and control persons from the Swedish Population Register matched on age, sex and county of residence, n=155 590.

PRIMARY AND SECONDARY OUTCOMES

Hospitalisation from seasonal influenza from October 2013 to December 2019. Season-wise incidence and HRs were analysed in the T1D group compared with controls. Secondary outcomes were associations between clinical variables and hospitalisation due to seasonal influenza for persons with T1D.

RESULTS

There were 347 (1.0%) influenza admissions in persons with T1D and 332 (0.2%) in the control group. The overall incidence rate was 16.9/10 000 person-years in the T1D group and 3.6/10 000 person-years for the control group. Persons with T1D had an unadjusted HR 4.7 (95% CI 4.0 to 5.5) for risk of hospitalisation from influenza during the study period and HR 3.4 (95% CI 2.9 to 4.0) when adjusted for age, sex, socioeconomic factors and chronic medical conditions at baseline. Within the T1D cohort, individuals hospitalised due to influenza were older, were more often smokers, had lower glomerular filtration rate and more often had a previous history of ischaemic heart disease and stroke.

CONCLUSIONS

To our knowledge, this is the first large study to highlight that persons with T1D have a threefold higher risk of hospitalisation due to seasonal influenza compared with matched controls from the general population. It is important for healthcare professionals to acknowledge this excess risk, particularly in older persons with T1D, who have cardiovascular risk factors and reduced kidney function.

Infection-Related Hospitalization and Incident Heart Failure: The Atherosclerosis Risk in Communities Study

BACKGROUND

The immune response to infections may become dysregulated and promote myocardial damage contributing to heart failure (HF). We examined the relationship between infection-related hospitalization (IRH) and HF, HF with preserved ejection fraction, and HF with reduced ejection fraction.

METHODS AND RESULTS

We studied 14 468 adults aged 45 to 64 years in the ARIC (Atherosclerosis Risk in Communities) Study who were HF free at visit 1 (1987-1989). IRH was identified using select International Classification of Diseases (ICD) codes in hospital discharge records and was treated as a time-varying exposure. HF incidence was defined as the first occurrence of either a hospitalization that included an ICD, Ninth Revision (ICD-9) discharge code of 428 (428.0-428.9) among the primary or secondary diagnoses or a death certificate with an ICD-9 code of 428 or an ICD, Tenth Revision (ICD-10) code of I50 among any of the listed diagnoses or underlying causes of death. We used multivariable-adjusted Cox proportional hazards models to assess the association between IRH and incident HF, HF with reduced ejection fraction, and HF with preserved ejection fraction. Median follow-up time was 27 years, 55% were women, 26% were Black, mean age at baseline was 54±6 years, 46% had an IRH, and 3565 had incident HF. Hazard ratio (HR) for incident HF events among participants who had an IRH compared with those who did not was 2.35 (95% CI, 2.19-2.52). This relationship was consistent across different types of infections. Additionally, IRH was associated with both HF with reduced ejection fraction and HF with preserved ejection fraction: 1.77 (95% CI, 1.35-2.32) and 2.97 (95% CI, 2.36-3.75), respectively.

CONCLUSIONS

IRH was associated with incident HF, HF with reduced ejection fraction, and HF with preserved ejection fraction. IRH might represent a modifiable risk factor for HF pathophysiology.

Development and validation of a prognostic model for critically ill type 2 diabetes patients in ICU based on composite inflammatory indicators

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder, and critically ill patients with T2DM in intensive care unit (ICU) have an increased risk of mortality. In this study, we investigated the relationship between nine inflammatory indicators and prognosis in critically ill patients with T2DM to provide a clinical reference for assessing the prognosis of patients admitted to the ICU. Critically ill patients with T2DM were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and divided into training and testing sets (7:3 ratio). An external validation cohort was collected from a single center in China using identical criteria. Logistic and Cox regression analyses were used to evaluate the relationship between nine inflammatory indicators and ICU, 30-day, and 90-day mortality rates. Significant predictive variables were chosen using least absolute shrinkage selection operator (LASSO) regression from logistic regression results, and a prognostic prediction model was built with multivariate logistic regression. The model was validated in both test and external validation sets. A total of 4,783 patients were included for model development and testing; an additional 204 served as the external validation set. The levels of eight inflammatory indicators were significantly correlated with short-term prognosis in critically ill patients with T2DM (P < 0.05 for all). The prediction model showed excellent discrimination performance, with AUC values of 0.825 (95% CI, 0.785-0.864) in the test set and 0.741 (95% CI, 0.630-0.851) in the external validation set. Calibration curves demonstrated strong consistency in both sets. In addition, decision curve analysis showed a net clinical benefit within 1-60% threshold probability in the test set and 10-41% threshold probability in the external validation set. Eight inflammatory indicators were identified as independent risk factors for prognosis in critically ill patients with T2DM. The prediction model showed promising performance in both internal and external validation cohorts, highlighting its potential as a valuable tool for early risk stratification and prediction of the outcomes of personalized treatment strategies in ICU settings.

Evaluating risk factors for surgical site infections and the effectiveness of prophylactic antibiotics in patients undergoing laparoscopic cholecystectomy

BACKGROUND

Surgical site infections (SSIs) are a significant complication in laparoscopic cholecystectomy (LC), affecting patient outcomes and healthcare costs.

AIM

To identify risk factors associated with SSIs and evaluate the effectiveness of prophylactic antibiotics in reducing these infections.

METHODS

A comprehensive retrospective evaluation was conducted on 400 patients who underwent LC from January 2022 to January 2024. Patients were divided into infected (n = 36) and non-infected (n = 364) groups based on the occurrence of SSIs. Data collected included age, diabetes mellitus status, use of prophylactic antibiotics, and specific surgical complications. Statistical analyses using SPSS (Version 27.0) involved univariate and multivariate logistic regression to determine factors influencing the risk of SSIs.

RESULTS

The use of prophylactic antibiotics significantly reduced the incidence of SSIs (χ² = 68.34, P < 0.01). Older age (≥ 60 years) and comorbidities such as diabetes mellitus were identified as significant risk factors. Surgical complications like insufficient cystic duct stump, gallbladder perforation, and empyema also increased SSI risk. Notably, factors such as intraoperative blood loss and operation time did not significantly impact SSI occurrence.

CONCLUSION

Prophylactic antibiotics are effective in reducing the risk of SSIs in patients undergoing LC. Age, diabetes mellitus, and certain surgical complications significantly contribute to the risk. Effective management of these risk factors is essential to improve surgical outcomes and reduce the incidence of SSIs.

Role of nutrition in diabetes mellitus and infections

In this editorial, we have commented on the article that has been published in the recent issue of World Journal of Clinical Cases. The authors have described a case of unilateral thyroid cyst and have opined that the acute onset of infection may be linked to diabetes mellitus (DM). We have focused on the role of nutrition in the association between DM and infection. Patients with DM are at a high risk of infection, which could also be attributed to nutrition-related factors. Nutritional interventions for patients with diabetes are mainly based on a low-calorie diet, which can be achieved by adhering to a low-carbohydrate diet. However, dietary fiber supplementation is recommended to maintain the diversity of the gut microbiota. Furthermore, high-quality protein can prevent the increased risk of infection due to malnutrition. Supplementation of vitamins C, vitamins A, vitamins D, and folic acid improves blood sugar control and facilitates immune regulation. Mineral deficiencies augment the risk of infection, but the relationship with diabetes is mostly U-shaped and a good intake should be maintained.

Mathematical model for understanding the relationship between diabetes and novel coronavirus

A new model is proposed to explore interactions between diabetes and novel coronavirus. The model accounted for both the omicron variant and variants varying from omicron. The model investigated compartments such as hospitalization, diabetes, co-infection, omicron variant, and quarantine. Additionally, the impact of different vaccination doses is assessed. Sensitivity analysis is carried out to determine disease prevalence and control options, emphasizing the significance of knowing epidemics and their characteristics. The model is validated using actual data from Japan. The parameters are fitted with the help of "Least Square Curve Fitting" method to describe the dynamic behavior of the proposed model. Simulation results and theoretical findings demonstrate the dynamic behavior of novel coronavirus and diabetes mellitus (DM). Biological illustrations that illustrate impact of model parameters are evaluated. Furthermore, effect of vaccine efficacy and vaccination rates for the vaccine's first, second, and booster doses is conducted. The impact of various preventive measures, such as hospitalization rate, quarantine or self-isolation rate, vaccine dose-1, dose-2, and booster dose, is considered for diabetic individuals in contact with symptomatic or asymptomatic COVID-19 infectious people in the proposed model. The findings demonstrate the significance of vaccine doses on people with diabetes and individuals infectious with omicron variant. The proposed work helps with subsequent prevention efforts and the design of a vaccination policy to mitigate the effect of the novel coronavirus.

"Hyperglycemic Memory": Observational Evidence to Experimental Inference

Several epidemiological studies have appreciated the impact of "duration" and "level" of hyperglycemia on the initiation and development of chronic complications of diabetes. However, glycemic profiles could not fully explain the presence/absence and severity of diabetic complications. Genetic issues and concepts of "hyperglycemic memory" have been introduced as additional influential factors involved in the pathobiology of late complications of diabetes. In the extended phase of significant diabetes randomized, controlled clinical trials, including DCCT/EDIC and UKPDS, studies have concluded that the quality of glycemic or metabolic control at the early time around the diabetes onset could maintain its protective or detrimental impact throughout the following diabetes course. There is no reliable indication of the mechanism by which the transient exposure to a given glucose concentration level could evoke a consistent cellular response at target tissues at the molecular levels. Some biological phenomena, such as the production and the concentration of advanced glycation end products (AGEs), reactive oxygen species (ROS) and protein kinase C (PKC) pathway activations, epigenetic changes, and finally, the miRNAs-mediated pathways, may be accountable for the development of hyperglycemic memory. This work summarizes evidence from previous experiments that may substantiate the hyperglycemic memory soundness by its justification in molecular terms.

Association between anion gap/calcium ratio and 30-day all-cause mortality in sepsis patients with diabetes mellitus

We aimed to determine the association between anion gap-to-calcium ratio (ACR) and 30-day mortality in sepsis patients with diabetes mellitus (DM). Data for sepsis patients diagnosed with DM was extracted from Medical Information Mart for Intensive Care Database IV. After screening, 4429 eligible subjects were included in our study finally. The receiver operating characteristic (ROC) curve was used to determine the cut-off value. According to the ROC curve analysis, the ACR demonstrated a higher area under the curve (AUC) of 0.622 compared to AG (0.598). Multivariable logistic regression with inverse probability of treatment weighting (IPTW) based on propensity score were used to detect the association between ACR and 30-day mortality. Our results showed that the patients with the high level of ACR had a higher risk of death within 30 days compared with those with low level of ACR (odds ratio 1.342, 95% confidence interval 1.180-1.526, P < 0.001). In a word, our results suggest that ACR may be an independent prognostic indicator for death with 30 days in critically ill patients with sepsis and DM.

Analysis of risk factors for benign central airway stenosis after COVID-19 infection

BACKGROUND

To investigate the risk factors associated with benign central airway stenosis following COVID-19 infection.

METHODS

The clinical data of 235 patients hospitalized for COVID-19 infection at the First Affiliated Hospital of Zhengzhou University from October 2022 to October 2023 were retrospectively analyzed. Based on the occurrence of postoperative central airway stenosis, the patients were categorized into a stenosis group (118 cases) and a control group (117 cases). The incidence of central airway stenosis following COVID-19 infection was summarized. Univariate and multivariate logistic regression analyses were conducted to identify risk factors associated with central airway stenosis after COVID-19 infection.

RESULTS

Among the 235 patients studied, 118 developed central airway stenosis. The results of the univariate analysis indicated that age, sex, liver function (as measured by alanine aminotransferase and aspartate aminotransferase values), renal function (creatinine values), diabetes mellitus, fungal airway infections, tuberculosis, and nutritional status (albumin values) were identified as risk factors for benign central airway stenosis following COVID-19 infection (P < 0.05). Furthermore, the multivariate analysis revealed that sex, diabetes mellitus, fungal airway infections, tuberculosis, and nutritional status (albumin values) were independent risk factors for benign central airway stenosis after COVID-19 infection (all P < 0.05).

CONCLUSION

diabetes mellitus, fungal airway infections, tuberculosis, and poor nutritional status may lead to benign central airway stenosis after COVID-19 infection. Proactive preventive measures and close monitoring should be taken to improve the quality of life of patients infected with COVID-19.

The Impact of Pregestational Diabetes on Maternal Morbidity and Mortality: Trends, Challenges, and Future Directions

Maternal mortality in the United States is on the rise, demonstrating a concerning trend that stands in stark contrast to the falling rates in other developed countries. A key challenge facing the improvement of maternal care is the mounting prevalence of chronic health conditions such as hypertension and diabetes, which are often linked to poor diet and sedentary lifestyle. Pregestational diabetes now impacts 1 to 2% of pregnancies, while gestational diabetes affects another 7.8%. Both type 1 and type 2 diabetes elevate the risk of severe maternal morbidity and mortality (SMM), including severe cardiac morbidity, hypertensive disorders of pregnancy, hemorrhage, infection, and mental health conditions. The increase in diabetes is thought to account for 17% of the increase in maternal mortality between 1997 and 2012. Another critical issue facing maternal care is the significant disparity in pregnancy outcomes among populations facing greater burdens of adverse social determinants of health, including socioeconomic characteristics, chronic stress, and systemic racism. For example, non-Hispanic Black women are 2.5 times more likely to die during pregnancy and the postpartum period than non-Hispanic White women. Vulnerable populations, often minorities, are also more likely to develop risk factors for SMM, such as type 2 diabetes. As pregestational diabetes is a particularly morbid condition in pregnancy, examining its complications and evidence-based treatments could significantly impact both maternal mortality rates and disparities in pregnancy outcomes in the United States. This review explores the relationship between pregestational diabetes and SMM, how the risk of SMM can be modified by disparities, and avenues for advancing care through future research. KEY POINTS: · Diabetes during pregnancy greatly increases the risk of SMM.. · Comprehensive care can improve outcomes in high-risk pregnancies with diabetes.. · Adverse social determinants of health worsen outcomes in pregnancies affected by diabetes.. · Improving diabetes care in pregnancy offers an opportunity to enhance maternal outcomes..

Hyperglycemia causes differential change in macrophage population in the lacrimal gland, conjunctiva and cornea

Background

Due to its location, the ocular surface is exposed to environmental microbes. Innate immune cells including macrophages are first line defense against infections. In vitro exposure to high glucose as well as diabetes-associated hyperglycemia has been shown to affect innate immune cell function and population. The present study was designed to examine the effect of diabetes-associated hyperglycemia on the lacrimal gland, conjunctiva and cornea macrophage population, phenotypic changes and cytokines/chemokines.

Methods

Mouse model of Streptozotocin-induced diabetes was used to induce hyperglycemia. Immunostaining for CD11b and F4/80 was performed to stain macrophages in whole mount cornea, conjunctiva and 50 µm lacrimal gland sections. Flowcytometry was performed on single cell suspension to identify macrophage phenotypes and activation using CD11b, F4/80, CD80, CD206 and MHCII staining. Real time PCR was performed to quantify gene expression for macrophage-associated cytokines (IL-1β, TNF-α, IFN-γ) and chemokine (CCL2).

Results

Our data demonstrates the diabetes-associated hyperglycemia caused a rapid onset and significant decrease in macrophage population in lacrimal gland, conjunctiva and cornea. The onset of this noted decrease was as early as 7 days after hyperglycemia in lacrimal gland and conjunctiva followed by a notable increase towards recovery only in conjunctiva but not in the lacrimal gland. The cornea tissue showed a steady decline up to the tested time point of 28 days. Further, hyperglycemia did not cause any notable changes in macrophage phenotypes, their activation status or the expression of IL-1β, TNF-α, IFN-γ, CCL2 except in the cornea where an increase in the cytokine levels was noted after 7 days of hyperglycemia.

Conclusion

Our data shows that diabetes-associated hyperglycemia can cause a significant decrease in microphage population with changing their plasticity or activation status in lacrimal gland, conjunctiva and cornea but the kinetics of decrease and recovery show differential pattern specific for each tissue.

Diabetic Mastopathy: A Monocentric Study to Explore This Uncommon Breast Disease

BACKGROUND

Diabetic Mastopathy (DMP) is an uncommon benign fibro-inflammatory condition that occurs in women with long-standing diabetes mellitus (DM), particularly type 1. It often mimics breast cancer (BC) in clinical and imaging presentations, leading to diagnostic challenges.

METHODS

A retrospective monocentric study was conducted, analyzing clinical, radiologic, and pathological data from 28 women diagnosed with DMP over 10 years at the European Institute of Oncology. Data on DM type, age at DMP diagnosis, associated autoimmune conditions, imaging features, and surgical outcomes were collected and compared with the existing literature.

RESULTS

The majority (82%) of the patients had type 1 DM, with most diagnosed with DMP before age 40. Common complications included retinopathy (46%) and neuropathy (35%). Imaging often suggested malignancy, necessitating core needle biopsies for diagnosis. Surgical intervention occurred in 55% of cases, with a recurrence rate of 32%. One case of BC was observed.

CONCLUSIONS

DMP remains challenging due to its resemblance to BC. Conservative management is typical, but the recurrence rate post-surgery highlights the importance of ongoing monitoring. Although DMP does not significantly increase BC risk, caution is advised, especially for immunocompromised patients. Further studies are needed to comprehensively understand DMP's relationship with BC.

Trichophyton mentagrophytes delays wound healing in ob/ob mice

A wide variety of microbial species, including Trichophyton spp., have been detected in diabetic foot ulcers (DFUs). In particular, Trichophyton spp. cause tinea pedis (i.e., athlete's foot) and onychomycosis. However, investigations regarding the correlation between Trichophyton spp. and delayed wound healing are limited to case reports. Moreover, histological changes in wounds caused by Trichophyton spp. remain unclear. In this study, we sought to confirm the delayed wound healing phenotype caused by Trichophyton mentagrophytes infection in a full-thickness excisional wound ob/ob mouse model through histopathological analysis. The inoculation of skin wounds in ob/ob mice with T. mentagrophytes sporules resulted in significant delay on wound healing. Further histopathological analyses demonstrated that the delayed wound healing in ob/ob mice was accompanied by reduced collagen fibre formation and inhibited granulation tissue formation, with spores and elongated mycelia retained in the wound bed and along the wound edges. This suggests that T. mentagrophytes colonization of wounds potentially contributes to delayed wound healing in patients with diabetes. These results suggest that neglected tinea pedis is a potential risk factor for delayed wound healing and progression to refractory wounds in patients with DFU.

Disruption of immune responses by type 1 diabetes exacerbates SARS-CoV-2 mediated lung injury

COVID-19 commonly presents as pneumonia, with those most severely affected progressing to respiratory failure. Patient responses to SARS-CoV-2 infection are varied, with comorbidities acting as major contributors to varied outcomes. Focusing on one such major comorbidity, we assessed whether pharmacological induction of type 1 diabetes mellitus (T1DM) would increase the severity of lung injury in a murine model of COVID-19 pneumonia utilizing wild-type mice infected with mouse-adapted SARS-CoV-2. Hyperglycemic mice exhibited increased weight loss and reduced blood oxygen saturation in comparison with their euglycemic counterparts, suggesting that these animals indeed experienced more severe lung injury. Transcriptomic analysis revealed a significant impairment of the adaptive immune response in the lungs of diabetic mice compared with those of control. To expand the limited options available for tissue analysis due to biosafety restrictions, we also employed a new technique to digest highly fixed tissue into a single-cell suspension, originally designed for scRNA-Seq, which we then adapted for flow cytometric analysis. Flow immunophenotyping and scRNA-Seq confirmed impaired recruitment of T-cells into the lungs of T1DM animals. In addition, scRNA-Seq revealed a distinct, highly inflammatory macrophage profile in the diabetic cohort that correlates with the more severe infection these mice experienced clinically, allowing insight into a possible mechanism for this phenomenon. Recognizing the near certainty that respiratory viruses will continue to present significant public health concerns for the foreseeable future, our study provides key insights into how T1DM results in a much more severe infection and identifies possible targets to ameliorate comorbidity-associated severe disease.NEW & NOTEWORTHY We define the exacerbating effects of type 1 diabetes mellitus (T1DM) on COVID-19 pneumonia severity in mice. Hyperglycemic mice experienced increased weight loss and reduced oxygen saturation. Transcriptomic analysis revealed impaired immune responses in diabetic mice, while flow cytometry and single-cell RNA sequencing confirmed reduced T-cell recruitment and an inflammatory macrophage profile. In addition, we introduced a novel technique for tissue analysis, enabling flow cytometric analysis on highly fixed tissue samples.

Risk Factors for Extrapulmonary Tuberculosis Among US Veterans, 1990-2022

Purpose

To determine factors that put US veterans with active tuberculosis at risk for extrapulmonary tuberculosis (EPTB) compared with pulmonary tuberculosis.

Methods

We included veterans with laboratory-confirmed tuberculosis from 1990-2022 in our retrospective cohort study. Multivariable logistic regression was used to estimate the association of demographic and clinical risk factors with EPTB.

Results

Of 7493 veterans aged 20-100 years (median, 58 years) with laboratory-confirmed tuberculosis, 1397 (19%) had EPTB. The most common EPTB infection among veterans was pleural (31.4%), while meningitis carried the highest mortality risk at 90 days. Factors independently associated with EPTB among veterans were non-Hispanic black race/ethnicity, diabetes mellitus, human immunodeficiency virus infection, severe kidney disease, and all-cause mortality within 90 days after tuberculosis diagnosis.

Conclusions

Our study demonstrated several risk factors for EPTB among US veterans. Healthcare providers should be educated regarding patient populations at risk for EPTB, especially given the challenges in diagnosing this disease and the importance of instituting early treatment to prevent severe illness and death.

Molecular Secrets Revealed: How Diabetes may be Paving the Way for Leukemia

OPINION STATEMENT

Type 2 Diabetes Mellitus (T2DM) and leukemia are two major global health concerns, both contributing significantly to morbidity and mortality. Epidemiological evidence demonstrates a strong correlation between T2DM and an increased risk of leukemia, particularly driven by insulin resistance, hyperglycemia, and the resultant metabolic dysregulation. Key shared risk factors, including obesity and chronic inflammation, create a conducive environment for leukemogenesis, intensifying cancer cell proliferation and resistance to standard therapies. Insulin resistance, in particular, triggers oncogenic pathways such as PI3K/AKT and MAPK, exacerbating the aggressive phenotype seen in leukemia patients with T2DM. Additionally, clonal hematopoiesis of indeterminate potential (CHIP) is implicated in the higher leukemia risk observed in diabetic populations, especially among the elderly. Molecular mechanisms like the insulin-like growth factor (IGF) system further highlight the intricate link between these diseases, promoting survival and proliferation of leukemia cells. The coexistence of T2DM in leukemia patients is associated with poorer prognostic outcomes, including increased susceptibility to infections, reduced survival, and greater treatment resistance. Antidiabetic agents, notably metformin and pioglitazone, show promise in enhancing chemotherapy efficacy and improving patient outcomes by targeting metabolic pathways. These results highlight the need for comprehensive treatment approaches that target both metabolic abnormalities and cancer-related mechanisms in patients suffering from both T2DM and leukemia.

Risk of Infection in Older Adults With Type 2 Diabetes With Relaxed Glycemic Control

OBJECTIVE

To compare the risk of hospitalization for infection among patients who achieve intensive versus relaxed glycemic control.

RESEARCH DESIGN AND METHODS

This retrospective cohort study included adults age ≥65 years with type 2 diabetes from an integrated health care delivery system. Negative binomial models were used to estimate incidence rates and relative risk (RR) of hospitalization for infections (respiratory; genitourinary; skin, soft tissue, and bone; and sepsis), comparing two levels of relaxed (hemoglobin A1c [HbA1c] 7% to <8% and 8% to <9%) with intensive (HbA1c 6% to <7%) glycemic control from 1 January 2019 to 1 March 2020.

RESULTS

Among 103,242 older patients (48.5% with HbA1c 6% to <7%, 35.3% with HbA1c 7% to <8%, and 16.1% with HbA1c 8% to <9%), the rate of hospitalization for infections was 51.3 per 1,000 person-years. Compared with HbA1c 6% to <7%, unadjusted risk of hospitalization for infections was significantly elevated among patients with HbA1c 8% to <9% (RR 1.25; 95% CI 1.13, 1.39) but not among patients with HbA1c 7% to <8% (RR 0.99; 95% CI 0.91, 1.08), and the difference became nonsignificant after adjustment. Across categories of infections, the adjusted RR of hospitalization was significantly higher among patients with HbA1c 8% to <9% only for skin, soft tissue, and bone infection (RR 1.33; 95% CI 1.05, 1.69).

CONCLUSIONS

Older patients with type 2 diabetes who achieve relaxed glycemic control levels endorsed by clinical guidelines are not at significantly increased risk of hospitalization for most infections, but HbA1c 8% to <9% is associated with an increased risk of hospitalization for skin, soft tissue, and bone infections.

Reduced cell-mediated immune response in hyperglycemic NOD mice following influenza vaccination

Due to the higher risk of medical complications posed by influenza infection, patients with type 1 diabetes (T1D) are strongly recommended to receive the influenza vaccine. However, it remains unclear if hyperglycemia in patients with T1D affects vaccine-induced immune responses. In this study, we investigated the humoral and cellular immune responses of prediabetic and diabetic, nonobese diabetic (NOD) mice following influenza vaccination to determine the effects of hyperglycemia on influenza vaccine-induced responses. In diabetic NOD mice, vaccine-specific IgG and IgM levels, as well as IgG-producing cells, were comparable to those in prediabetic NOD mice. However, the diabetic NOD mice exhibited reduced percentages of memory T cells and activated T cells in the spleen, along with reduced number of vaccine-specific interferon (IFN)-γ-secreting cells. Thus, these findings suggest that in patients with T1D, hyperglycemia could lead to impaired cell-mediated immune responses following influenza vaccination.

Investigating the research trajectory and future trends of immune disorders in diabetes cardiovascular complications: A bibliometric analysis over the past decade based on big data

INTRODUCTION

Cardiovascular complications of diabetes are a top cause of death in diabetics and often involve immune system problems. Despite numerous studies, there's a shortage of extensive data to advance this field. This study aims to systematically analyze the role of immune dysregulation in these complications using bibliometric methods, to outline the research path and predict future directions.

METHODS

Published from January 1, 2014 to December 31, 2023, 2826 records from the Web of Science Core Collection were analyzed. Collaboration networks, keyword co-occurrences, references, and research hotspots were visualized and analyzed using Microsoft Office Excel 2019, VOSviewer, CiteSpace, and R software.

RESULTS

The number of research papers and citations on this topic has been increasing from 2014 to 2023, with significant contributions from the United States and China. Studies have focused on the effects of oxidative stress, inflammation, metabolism, gut microbiota, and COVID-19 on diabetic heart problems, highlighting the role of immune dysregulation in these diseases.

CONCLUSION

This research provides an overview of immune dysregulation in the cardiovascular complications of diabetes, explores potential treatments including immunomodulation, insulin resistance, and the benefits of vitamin D on cardiovascular disease, and helps advance the field.

Triglyceride-glucose index-A novel metabolism disorder biomarker as a promising indicator for predicting postoperative 30-day infections in elderly patients undergoing gastrointestinal-related abdominal and pelvic surgery

BACKGROUND

The triglyceride-glucose index, a reliable surrogate biomarker of insulin resistance, has been reported to be associated with cardiovascular events and atherosclerosis. However, few studies have investigated the association of the triglyceride-glucose index with postoperative infections. This study aimed to study the clinical risk values of the preoperative triglyceride-glucose index in postoperative infection complications in elderly patients undergoing gastrointestinal-related abdominal and pelvic surgery.

METHODS

This retrospective cohort study included 3,225 older patients who underwent gastrointestinal-related abdominal and pelvic surgery between 2014 and 2019. The patients were divided into groups of triglyceride-glucose index ≤8.268 and triglyceride-glucose index >8.268 according to the optimal triglyceride-glucose index cut-off value. The outcome of interest was postoperative infections within 30 days after surgery. Primary and subgroup analyses were performed to confirm that preoperative triglyceride-glucose index qualifies as a reliable, independent risk indicator. Propensity score matching analysis was further applied to address covariates' potential residual confounding effect and test the robustness of the results.

RESULTS

In this study, the median age was 71 years (interquartile range, 67, 75 years), the proportion of male patients was 66.3%, and 1,058 (32.8%) were infected within 30 days after surgery. A triglyceride-glucose index >8.268 was associated with an increased risk of postoperative infections in multivariate regression analysis (odds ratio, 1.37; 95% confidence interval, 1.15-1.64; P < .001). The correlation between the triglyceride-glucose index and postoperative infections remained significantly robust (odds ratio, 1.52; 95% confidence interval, 1.21-1.92; P < .001) in the propensity score matching analysis.

CONCLUSIONS

The triglyceride-glucose index elevation determined by the optimal cutoff value of 8.268 was an independent risk factor for developing postoperative infections.

Pharmacokinetic and Pharmacodynamic Interaction of Finerenone with Diltiazem, Fluconazole, and Ritonavir in Rats

BACKGROUND AND OBJECTIVES

Finerenone, a novel selective non-steroidal mineralocorticoid receptor antagonist, has been indicated in chronic kidney disease associated with type 2 diabetes mellitus. Considering the potential complications of diabetes, finerenone can be co-administered with various drugs, including fluconazole, diltiazem, and ritonavir. Given that finerenone is a substrate of cytochrome P450 (CYP) 3A4, the concurrent administration of finerenone with CYP3A4 inhibitors (diltiazem or fluconazole or ritonavir) could potentially lead to drug interactions, which may cause adverse events such as hyperkalemia. No studies have investigated interactions between finerenone and diltiazem or fluconazole or ritonavir. Therefore, this study aims to investigate the pharmacokinetic interaction of finerenone with diltiazem or fluconazole or ritonavir and to evaluate the impact of fluconazole on the pharmacodynamics of finerenone.

METHODS

The pharmacokinetic study included four rat groups (n = 8 rats/group), including a control group (finerenone alone) and test groups (finerenone pretreated with diltiazem or fluconazole or ritonavir) using both non-compartment analysis (NCA) and population pharmacokinetic (pop-PK) modeling. The pop-PK model was developed using non-linear mixed-effects modeling in NONMEM® (version 7.5.0). In the pharmacodynamic study, serum potassium (K+) levels were measured to assess the effects of fluconazole on finerenone-induced hyperkalemia.

RESULTS

The NCA results indicated that the area under the plasma concentration-time curve (AUC) of finerenone increased by 1.86- and 1.95-fold when coadministered with fluconazole and ritonavir, respectively. In contrast, diltiazem did not affect the pharmacokinetics of finerenone. The pharmacokinetic profiles of finerenone were best described by a one-compartment disposition with first-order elimination and dual first-order absorption kinetics. The pop-PK modeling results demonstrated that the apparent clearance of finerenone decreased by 50.3% and 49.2% owing to the effects of fluconazole and ritonavir, respectively. Additionally, the slow absorption rate, which represents the absorption in the distal intestinal tract of finerenone, increased by 55.7% due to the effect of ritonavir. Simultaneously, a pharmacodynamic study revealed that finerenone in the presence of fluconazole caused a significant increase in K+ levels compared with finerenone alone.

CONCLUSIONS

Coadministration of finerenone with fluconazole or ritonavir increased finerenone exposure in rats. Additionally, the administration of finerenone in the presence of fluconazole resulted in elevated K+ levels in rats. Further clinical studies are required to validate these findings.

Unveiling shared diagnostic biomarkers and molecular mechanisms between T2DM and sepsis: Insights from bioinformatics to experimental assays

Septic patients with T2DM were prone to prolonged recovery and unfavorable prognoses. Thus, this study aimed to pinpoint potential genes related to sepsis with T2DM and develop a predictive model for the disease. The candidate genes were screened using protein-protein interaction networks (PPI) and machine learning algorithms. The nomogram and receiver operating characteristic curve were developed to assess the diagnostic efficiency of the biomarkers. The relationship between sepsis and immune cells was analyzed using the CIBERSORT algorithm. The biomarkers were validated by qPCR and western blotting in basic experiments, and differences in organ damage in mice were studied. Three genes (MMP8, CD177, and S100A12) were identified using PPI and machine learning algorithms, demonstrating strong predictive capabilities. These biomarkers presented significant differences in gene expression patterns between diseased and healthy conditions. Additionally, the expression levels of biomarkers in mouse models and blood samples were consistent with the findings of the bioinformatics analysis. The study elucidated the common molecular mechanisms associated with the pathogenesis of T2DM and sepsis and developed a gene signature-based prediction model for sepsis. These findings provide new targets for the diagnosis and intervention of sepsis complicated with T2DM.

Rapid and Robust Identification of Sepsis Using SeptiCyte RAPID in a Heterogeneous Patient Population

Background/Objective: SeptiCyte RAPID is a transcriptional host response assay that discriminates between sepsis and non-infectious systemic inflammation (SIRS) with a one-hour turnaround time. The overall performance of this test in a cohort of 419 patients has recently been described [Balk et al., J Clin Med 2024, 13, 1194]. In this study, we present the results from a detailed stratification analysis in which SeptiCyte RAPID performance was evaluated in the same cohort across patient groups and subgroups encompassing different demographics, comorbidities and disease, sources and types of pathogens, interventional treatments, and clinically defined phenotypes. The aims were to identify variables that might affect the ability of SeptiCyte RAPID to discriminate between sepsis and SIRS and to determine if any patient subgroups appeared to present a diagnostic challenge for the test. Methods: (1) Subgroup analysis, with subgroups defined by individual demographic or clinical variables, using conventional statistical comparison tests. (2) Principal component analysis and k-means clustering analysis to investigate phenotypic subgroups defined by unique combinations of demographic and clinical variables. Results: No significant differences in SeptiCyte RAPID performance were observed between most groups and subgroups. One notable exception involved an enhanced SeptiCyte RAPID performance for a phenotypic subgroup defined by a combination of clinical variables suggesting a septic shock response. Conclusions: We conclude that for this patient cohort, SeptiCyte RAPID performance was largely unaffected by key variables associated with heterogeneity in patients suspected of sepsis.

Management of a Patient with Cardiovascular Disease Should Include Assessment of Primary and Secondary Immunodeficiencies: Part 2-Secondary Immunodeficiencies

BACKGROUND

Cardiovascular diseases are among the most common chronic diseases, generating high social and economic costs. Secondary immunodeficiencies occur more often than primary ones and may result from the co-occurrence of specific diseases, treatment, nutrient deficiencies and non-nutritive bio-active compounds that result from the industrial nutrient practices.

OBJECTIVES

The aim of this article is to present selected secondary immunodeficiencies and their impact on the cardiovascular system.

RESULTS

The treatment of a patient with cardiovascular disease should include an assess-ment for immunodeficiencies, because the immune and cardiovascular systems are closely linked.

CONCLUSIONS

Immune system dysfunctions can significantly affect the course of cardiovascular diseases and their treatment. For this reason, comprehensive care for a patient with cardiovascular disease requires taking into account potential immunodeficiencies, which can have a significant impact on the patient's health.

Diabetes and risk of hospitalisation due to infection in northeastern Thailand: Retrospective cohort study using population-based healthcare service data

BACKGROUND

Population-based studies describing the association between diabetes and increased risk of infection have largely been based in high-income countries. There is limited information describing the burden of infectious disease attributable to diabetes in low and middle-income countries. This study aimed to describe the burden and risk of infectious disease hospitalisation in people with diabetes compared to those without diabetes in northeastern Thailand.

METHODS

In a retrospective cohort study using electronic health record data for 2012-2018 for 3.8 million people aged ≥20 years in northeastern Thailand, hospitalisation rates for any infectious diseases (ICD-10 codes A00-B99) were estimated and negative binomial regression used to estimate rate ratios (RR) for the association between diabetes and infectious disease hospitalisation adjusted for age, sex and area of residence.

RESULTS

In this study, 164,177 people had a diagnosis of diabetes mellitus at any point over the study period. Infectious disease hospitalisation rates per 1000 person-years (95%CI) were 71.8 (70.9, 72.8), 27.7 (27.1, 28.3) and 7.5 (7.5, 7.5) for people with prevalent diabetes, incident diabetes and those without diabetes respectively. Diabetes was associated with a 4.6-fold higher risk of infectious disease hospitalisation (RR (95% CI) 4.59 (4.52, 4.66)). RRs for infectious disease hospitalisation were 3.38 (3.29, 3.47) for people with diabetes managed by lifestyle alone and 5.29 (5.20, 5.39) for people receiving prescriptions for diabetes drugs.

CONCLUSIONS

In this Thai population, diabetes was associated with substantially increased risk of hospitalisation due to infectious diseases and people with diabetes who were on pharmacological treatment had a higher risk than those receiving lifestyle modification advice alone.

Upper cervical epidural abscess with emphasis on diabetes as a risk factor: a case report

BACKGROUND

An upper cervical spine epidural abscess (UCEA) is an epidural abscess that develops in the area between the occiput and the second cervical spine (axis). It is a rare diagnosis that carries the risk of instability of the atlantoaxial joint, and its management is not well-defined. It is known that the skin is the most common source of infection, and that diabetes mellitus (DM) is the most frequently reported risk factor. In this case, we present a patient diagnosed with UCEA, who achieved full neurological recovery postoperatively despite having neurological deficits for over five days prior to surgery.

CASE PRESENTATION

We report the case of a 56-year-old male patient with no history of any prior medical conditions, who presented with headache, neck pain, and weakness of the left side. The weakness started approximately three days prior to his presentation. His initial work up revealed hyperglycemia and elevated HbA1c of 86 mmol/mol (10%). Magnetic resonance imaging (MRI) of the cervical spine revealed spondylitis of the C2 spine with an abscess at the craniocervical junction. He underwent a two-staged surgical approach: decompression and stabilisation. The patient achieved full motor recovery approximately three months postoperatively.

CONCLUSIONS

We recommend screening for DM when a spinal epidural abscess (SEA) is diagnosed without readily identifiable risk factors. The optimal management in most SEA cases is surgical, which is particularly true for UCEA because of the risk of atlantoaxial joint instability. Full neurological recovery is possible even when the patient has been having deficits for more than five days.

Multifaceted Roles of Vitamin D for Diabetes: From Immunomodulatory Functions to Metabolic Regulations

Numerous studies have established associations between vitamin D and diabetes. The vitamin D receptor is widely distributed throughout the human body, including in pancreatic beta cells (β-cells), hepatocytes, and immune cells. Therefore, vitamin D's effect on the risk, progression, or complications of diabetes may be mediated through various mechanisms. These include the regulation of insulin secretion or sensitivity and modulation of β-cell function and its immunomodulatory and anti-inflammatory effects. This review extensively explores the relationship between vitamin D status and diabetes, as well as the preventive or therapeutic effects of vitamin D supplementation on diabetes from human studies. Additionally, it examines in detail the impact of vitamin D on immune and inflammatory responses in the diabetic milieux and β-cell function to better understand the underlying mechanisms through which vitamin D influences diabetes.

Triple threat: how diabetes results in worsened bacterial infections

Diabetes mellitus, characterized by impaired insulin signaling, is associated with increased incidence and severity of infections. Various diabetes-related complications contribute to exacerbated bacterial infections, including hyperglycemia, innate immune cell dysfunction, and infection with antibiotic-resistant bacterial strains. One defining symptom of diabetes is hyperglycemia, resulting in elevated blood and tissue glucose concentrations. Glucose is the preferred carbon source of several bacterial pathogens, and hyperglycemia escalates bacterial growth and virulence. Hyperglycemia promotes specific mechanisms of bacterial virulence known to contribute to infection chronicity, including tissue adherence and biofilm formation. Foot infections are a significant source of morbidity in individuals with diabetes and consist of biofilm-associated polymicrobial communities. Bacteria perform complex interspecies behaviors conducive to their growth and virulence within biofilms, including metabolic cross-feeding and altered phenotypes more tolerant to antibiotic therapeutics. Moreover, the metabolic dysfunction caused by diabetes compromises immune cell function, resulting in immune suppression. Impaired insulin signaling induces aberrations in phagocytic cells, which are crucial mediators for controlling and resolving bacterial infections. These aberrancies encompass altered cytokine profiles, the migratory and chemotactic mechanisms of neutrophils, and the metabolic reprogramming required for the oxidative burst and subsequent generation of bactericidal free radicals. Furthermore, the immune suppression caused by diabetes and the polymicrobial nature of the diabetic infection microenvironment may promote the emergence of novel strains of multidrug-resistant bacterial pathogens. This review focuses on the "triple threat" linked to worsened bacterial infections in individuals with diabetes: (i) altered nutritional availability in diabetic tissues, (ii) diabetes-associated immune suppression, and (iii) antibiotic treatment failure.

Nomograms for Predicting High Hospitalization Costs and Prolonged Stay among Hospitalized Patients with pAECOPD

This study aimed to develop nomograms to predict high hospitalization costs and prolonged stays in hospitalized acute exacerbations of chronic obstructive pulmonary disease (AECOPD) patients with community-acquired pneumonia (CAP), also known as pAECOPD. A total of 635 patients with pAECOPD were included in this observational study and divided into training and testing sets. Variables were initially screened using univariate analysis, and then further selected using a backward stepwise regression. Multivariable logistic regression was performed to establish nomograms. The predictive performance of the model was evaluated using the receiver operating characteristic (ROC) curve, area under the curve (AUC), calibration curve, and decision curve analysis (DCA) in both the training and testing sets. Finally, the logistic regression analysis showed that elevated white blood cell count (WBC>10 × 109 cells/l), hypoalbuminemia, pulmonary encephalopathy, respiratory failure, diabetes, and respiratory intensive care unit (RICU) admissions were risk factors for predicting high hospitalization costs in pAECOPD patients. The AUC value was 0.756 (95% CI: 0.699-0.812) in the training set and 0.792 (95% CI: 0.718-0.867) in the testing set. The calibration plot and DCA curve indicated the model had good predictive performance. Furthermore, decreased total protein, pulmonary encephalopathy, reflux esophagitis, and RICU admissions were risk factors for predicting prolonged stays in pAECOPD patients. The AUC value was 0.629 (95% CI: 0.575-0.682) in the training set and 0.620 (95% CI: 0.539-0.701) in the testing set. The calibration plot and DCA curve indicated the model had good predictive performance. We developed and validated two nomograms for predicting high hospitalization costs and prolonged stay, respectively, among hospitalized patients with pAECOPD. This trial is registered with ChiCTR2000039959.

Candida species in periodontitis: A new villain or a new target?

OBJECTIVES

Recent research indicated that fungi might have a role in periodontitis alongside traditional periodontal pathogens. This state-of-the-art narrative review explores current concepts on the involvement of Candida species in periodontitis, and suggests the potential for ecological management of this disease.

DATA, SOURCES AND STUDY SELECTION

A literature search was conducted for a narrative review on Web of Science, PubMed, Medline and Scopus about periodontitis associated with Candida species. Published articles, including case reports, case series, observational and interventional clinical trials, and critical appraisals of the literature were retrieved and reviewed.

CONCLUSIONS

Several factors predispose individuals to periodontitis associated with Candida species. These include systemic diseases that lead to immunosuppression and oral environment changes such as cigarette smoking. While a consistent significant increase in the detection rate of Candida species in patients with periodontitis has not been universally observed, there is evidence linking Candida species to the severity of periodontitis and their potential to worsen the condition. Candida species may participate in the development of periodontitis in various ways, including cross-kingdom interactions with periodontal pathogens, changes in the local or systemic environment favoring the virulence of Candida species, and interactions between Candida-bacteria and host immunity.

CLINICAL SIGNIFICANCE

Mechanical plaque control is the most common treatment for periodontitis, but its effectiveness may be limited, particularly when dealing with systemic risk factors. Understanding the specific role of Candida in periodontitis illuminates innovative approaches for managing the ecological balance in periodontal health.

Understanding the interplay between chronic lymphocytic leukemia and type 2 diabetes

INTRODUCTION

Comorbidities play an important role in the management of chronic lymphocytic leukemia (CLL) and may influence survival and treatment outcomes. Considering the aging general population and increasing incidence of type 2 diabetes (T2D), a comprehensive understanding of the interplay between CLL and T2D is essential for optimizing care and outcomes.

AREAS COVERED

We present current knowledge on co-existing CLL and T2D including prevalence, shared etiology and risk factors and how the conditions and treatment hereof may influence the outcome of one another. A literature search was performed using PubMed with the cutoff date on 1 February 2024.

EXPERT OPINION

The increased mortality observed in persons with CLL who have co-existing T2D is partially ascribed to infections, prompting physicians managing individuals with both conditions to consider closer monitoring during instances of infection and individualized prophylaxis. People with CLL and T2D should be managed for CLL in accordance with the international working group on CLL criteria, and we recommend that physicians exercise particular care not to delay treatment for these individuals. Multidisciplinary approaches with involvement of several specialties may be required for optimal supportive care of co-occurring T2D and CLL.

Metabolic features of neutrophilic differentiation of HL-60 cells in hyperglycemic environments

INTRODUCTION

Chronic hyperglycemia affects neutrophil functions, leading to reduced pathogen killing and increased morbidity. This impairment has been directly linked to increased glycemia, however, how this specifically affects neutrophils metabolism and their differentiation in the bone marrow is unclear and difficult to study.

RESEARCH DESIGN AND METHODS

We used high-resolution respirometry to investigate the metabolism of resting and activated donor neutrophils, and flow cytometry to measure surface CD15 and CD11b expression. We then used HL-60 cells differentiated towards neutrophil-like cells in standard media and investigated the effect of doubling glucose concentration on differentiation metabolism. We measured the oxygen consumption rate (OCR), and the enzymatic activity of carnitine palmitoyl transferase 1 (CPT1) and citrate synthase during neutrophil-like differentiation. We compared the surface phenotype, functions, and OCR of neutrophil-like cells differentiated under both glucose concentrations.

RESULTS

Donor neutrophils showed significant instability of CD11b and OCR after phorbol 12-myristate 13-acetate stimulation at 3 hours post-enrichment. During HL-60 neutrophil-like cell differentiation, there was a significant increase in surface CD15 and CD11b expression together with the loss of mitochondrial mass. Differentiated neutrophil-like cells also exhibited higher CD11b expression and were significantly more phagocytic. In higher glucose media, we measured a decrease in citrate synthase and CPT1 activities during neutrophil-like differentiation.

CONCLUSIONS

HL-60 neutrophil-like differentiation recapitulated known molecular and metabolic features of human neutrophil differentiation. Increased glucose concentrations correlated with features described in hyperglycemic donor neutrophils including increased CD11b and phagocytosis. We used this model to describe metabolic features of neutrophil-like cell differentiation in hyperglycemia and show for the first time the downregulation of CPT1 and citrate synthase activity, independently of mitochondrial mass.

Serum 25-hydroxyvitamin D concentrations, vitamin D receptor polymorphisms, and risk of infections among individuals with type 2 diabetes: a prospective cohort study

BACKGROUND

Evidence on the association between serum 25-hydroxyvitamin D [25(OH)D] and infections among patients with type 2 diabetes (T2D), a group susceptible to vitamin D deficiency and infections, is limited.

OBJECTIVES

We aimed to examine this association in individuals with T2D, and to evaluate whether genetic variants in vitamin D receptor (VDR) would modify this association.

METHODS

This study included 19,851 participants with T2D from United Kingdom Biobank. Infections were identified by linkage to hospital inpatient and death registers. Negative binomial regression models were used to estimate incidence rate ratios (IRRs) and 95% confidence intervals (CIs), with adjustment of potential confounders.

RESULTS

In patients with T2D, the incidence rate of infections was 29.3/1000 person-y. Compared with those with 25(OH)D of 50.0-74.9 nmol/L, the multivariable-adjusted IRRs and 95% CIs of total infections, pneumonia, gastrointestinal infections, and sepsis were 1.44 (1.31, 1.59), 1.49 (1.27, 1.75), 1.47 (1.22, 1.78), and 1.41 (1.14, 1.73), respectively, in patients with 25(OH)D <25.0 nmol/L. Nonlinear inverse associations between 25(OH)D concentrations and the risks of total infections (P-overall < 0.001; P-nonlinear = 0.002) and gastrointestinal infections (P-overall < 0.001; P-nonlinear = 0.040) were observed, with a threshold effect at ∼50.0 nmol/L. The vitamin D-infection association was not modified by genetic variants in VDR (all P-interaction > 0.050).

CONCLUSIONS

In patients with T2D, lower serum 25(OH)D concentration (<50 nmol/L) was associated with higher risks of infections, regardless of genetic variants in VDR. Notably, nonlinear inverse associations between 25(OH)D concentrations and the risks of infections were found, with a threshold effect at ∼50.0 nmol/L. These findings highlighted the importance of maintaining adequate vitamin D in reducing the risk of infections in patients with T2D.

Obesity Inhibits Alveolar Macrophage Responses to Pseudomonas aeruginosa Pneumonia via Upregulation of Prostaglandin E2 in Male, but Not Female, Mice

Obesity is associated with increased morbidity and mortality during bacterial pneumonia. Cyclooxygenase-2 (COX-2) and PGE2 have been shown to be upregulated in patients who are obese. In this study, we investigated the role of obesity and PGE2 in bacterial pneumonia and how inhibition of PGE2 improves antibacterial functions of macrophages. C57BL/6J male and female mice were fed either a normal diet (ND) or high-fat diet (HFD) for 16 wk. After this time, animals were infected with Pseudomonas aeruginosa in the lung. In uninfected animals, alveolar macrophages were extracted for either RNA analysis or to be cultured ex vivo for functional analysis. HFD resulted in changes in immune cell numbers in both noninfected and infected animals. HFD animals had increased bacterial burden compared with ND animals; however, male HFD animals had higher bacterial burden compared with HFD females. Alveolar macrophages from HFD males had decreased ability to phagocytize and kill bacteria and were shown to have increased cyclooxygenase-2 and PGE2. Treating male, but not female, alveolar macrophages with PGE2 leads to increases in cAMP and decreased bacterial phagocytosis. Treatment with lumiracoxib-conjugated nanocarriers targeting alveolar macrophages improves bacterial phagocytosis and clearance in both ND and HFD male animals. Our study highlights that obesity leads to worse morbidity during bacterial pneumonia in male mice because of elevated PGE2. In addition, we uncover a sex difference in both obesity and infection, because females produce high basal PGE2 but because of a failure to signal via cAMP do not display impaired phagocytosis.