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BACKGROUND AND OBJECTIVESStudies of bone mineral density (BMD) in women with type 2 diabetes mellitus have shown conflicting results. We conducted this study to determine whether postmenopausal women with diabetes have higher BMD than non-diabetic women of similar age, and to investigate the relationship between BMD and relevant clinical characteristics in these groups of women.PATIENTS AND METHODSWe retrospectively analyzed lumbar spine, femoral neck, and radius BMD data and other relevant clinical data for 130 postmenopausal women with type 2 diabetes mellitus and 166 non-diabetic women collected during a voluntary screening for osteoporosis in postmenopausal women without a history of low bone mass or osteoporotic fractures.RESULTSWomen with type 2 diabetes mellitus had significantly higher mean lumbar spine BMD ( 0.903±0.165 vs. 0.824±0.199, respectively, P<.001) and mean femoral neck BMD (0.870±0.132 vs. 0.832±0.134, respectively, P<.05) than non-diabetic women. In both groups of women, age correlated negatively with BMD levels at all three anatomical sites. Higher body mass index was associated only with higher lumbar spine BMD in both groups. Alkaline phosphatase levels showed a negative correlation with BMD at all sites in women with type 2 diabetes mellitus.CONCLUSIONPostmenopausal women with type 2 diabetes mellitus have higher BMD levels than non-diabetic women with similar clinical characteristics, and require a more scrutinized approach in managing low bone mass.

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) canonically utilizes clathrin-mediated endocytosis (CME) and several other endocytic mechanisms to invade airway epithelial cells. Endocytic inhibitors, particularly those targeting CME-related proteins, have been identified as promising antiviral drugs. Currently, these inhibitors are ambiguously classified as chemical, pharmaceutical, or natural inhibitors. However, their varying mechanisms may suggest a more realistic classification system. Herein, we present a new mechanistic-based classification of endocytosis inhibitors, in which they are segregated among four distinct classes including: (i) inhibitors that disrupt endocytosis-related protein–protein interactions, and assembly or dissociation of complexes; (ii) inhibitors of large dynamin GTPase and/or kinase/phosphatase activities associated with endocytosis; (iii) inhibitors that modulate the structure of subcellular components, especially the plasma membrane, and actin; and (iv) inhibitors that cause physiological or metabolic alterations in the endocytosis niche. Excluding antiviral drugs designed to halt SARS-CoV-2 replication, other drugs, either FDA-approved or suggested through basic research, could be systematically assigned to one of these classes. We observed that many anti-SARS-CoV-2 drugs could be included either in class III or IV as they interfere with the structural or physiological integrity of subcellular components, respectively. This perspective may contribute to our understanding of the relative efficacy of endocytosis-related inhibitors and support the optimization of their individual or combined antiviral potential against SARS-CoV-2. However, their selectivity, combined effects, and possible interactions with non-endocytic cellular targets need more clarification.

BACKGROUND AND OBJECTIVESStudies of bone mineral density (BMD) in women with type 2 diabetes mellitus have shown conflicting results. We conducted this study to determine whether postmenopausal women with diabetes have higher BMD than non-diabetic women of similar age, and to investigate the relationship between BMD and relevant clinical characteristics in these groups of women.PATIENTS AND METHODSWe retrospectively analyzed lumbar spine, femoral neck, and radius BMD data and other relevant clinical data for 130 postmenopausal women with type 2 diabetes mellitus and 166 non-diabetic women collected during a voluntary screening for osteoporosis in postmenopausal women without a history of low bone mass or osteoporotic fractures.RESULTSWomen with type 2 diabetes mellitus had significantly higher mean lumbar spine BMD ( 0.903±0.165 vs. 0.824±0.199, respectively, P<.001) and mean femoral neck BMD (0.870±0.132 vs. 0.832±0.134, respectively, P<.05) than non-diabetic women. In both groups of women, age correlated negatively with BMD levels at all three anatomical sites. Higher body mass index was associated only with higher lumbar spine BMD in both groups. Alkaline phosphatase levels showed a negative correlation with BMD at all sites in women with type 2 diabetes mellitus.CONCLUSIONPostmenopausal women with type 2 diabetes mellitus have higher BMD levels than non-diabetic women with similar clinical characteristics, and require a more scrutinized approach in managing low bone mass.

Background: Prediabetes is a disordered state of glucose metabolism defined by an elevated blood glucose level that is below the level required for the diagnosis of diabetes. Prediabetes is associated with an increased risk of cardiovascular disease. The onset and progression of macrovascular disease occur during the prediabetes phase. Early diagnosis and screening of prediabetes are essential steps to prevent diabetes and its associated complications. Objective: To assess the prevalence of prediabetes and undiagnosed diabetes in patients with cardiovascular disease according to the ADA criteria. Methods: This cross-sectional study included 2968 a high cardiovascular risk patients aged 40 to 75 years admitted to the Department of Internal Medicine. Sociodemographic variables and other relevant medical history information were collected by the researchers during the clinical interview. A fasting blood sample was obtained to determine HbA1c levels and other relevant laboratory findings. Results: Of the total number of participants, 1496 participants were not diagnosed with diabetes, 485 (32.4%) of them had HbA1c values indicating prediabetes and 158 (10.6%) of them had HbA1c values indicating new diagnosed diabetes. Up to one-third of those with undiagnosed prediabetes had already been diagnosed with cardiovascular complications. Conclusion: Routine screening of glycemic metabolism could be valuable in identifying high-risk individuals before a cardiovascular event occurs.