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Background: The evidence regarding the modifying role of inflammation in the association between glycemic traits and cognitive impairment remains insufficient. This study aimed to explore the association between glycemic traits and mild cognitive impairment (MCI) in patients with coronary artery disease (CAD), with particular emphasis on whether this association is influenced by varying levels of inflammation.
Methods: This cross-sectional study included 1437 patients with CAD who underwent cognitive function assessment during hospitalization. Cognitive function was assessed using the Mini-Mental State Examination and the Montreal Cognitive Assessment to identify patients with MCI. The hsCRP (high-sensitivity C-reactive protein) level>3 mg/L was defined as high inflammatory risk. Multivariable logistic regression models were employed to estimate the associations of glycemic traits and inflammatory risk status with cognitive impairment.
Results: Elevated fasting plasma glucose, glycosylated hemoglobin, and diabetes were positively associated with an increased risk of MCI in patients with CAD, with odds ratios ranging from 1.18 (95% CI, 1.10-1.26) to 1.55 (95% CI, 1.09-2.20). A significant interaction was observed between glycosylated hemoglobin and high inflammatory status on the risk of MCI ( for multiplicative interaction <0.001), with the effects of glycosylated hemoglobin on the risk of MCI being significant only in the group with high hsCRP. Additionally, there was evidence of significant additive interaction between high inflammatory risk and diabetes on the MCI risk in patients with CAD ( for additive interaction <0.05).
Conclusions: Inflammatory status modifies the association between glycemic traits and the risk of cognitive impairment. This finding highlights the importance of incorporating inflammation into the management of blood glucose levels in patients with CAD.
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http://dx.doi.org/10.1161/JAHA.125.042820 | DOI Listing |
BMJ Open Diabetes Res Care
September 2025
NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK.
Introduction: Frequent glycated hemoglobin A1c (HbA1c) monitoring is recommended in individuals with type 2 diabetes mellitus (T2D). We aimed to identify distinct, long-term HbA1c trajectories following a T2D diagnosis and investigate how these glycemic control trajectories were associated with health-related traits and T2D complications.
Research Design And Methods: A cohort of 12,435 unrelated individuals of European ancestry with T2D was extracted from the UK Biobank data linked to primary care records.
Cureus
July 2025
Medicine and Surgery, Omdurman Islamic University, Omdurman, SDN.
Sickle cell disease is characterized by various forms of hemoglobin that interfere with hemoglobin A1c (HbA1c) testing, which is commonly used to diagnose and monitor diabetes. This interference puts patients with sickle cell disease at risk of inaccurate monitoring and misdiagnosis due to improperly planned HbA1c testing. Despite awareness of these issues, there is still disagreement regarding the most appropriate method of measuring HbA1c in patients with sickle cell disease, along with a lack of clear guidance on using fructosamine as an alternative marker in patients with diabetes and sickle cell disease.
View Article and Find Full Text PDFJ Am Heart Assoc
September 2025
Department of Cardiology Beijing Anzhen Hospital, Capital Medical University Beijing People's Republic of China.
Background: The evidence regarding the modifying role of inflammation in the association between glycemic traits and cognitive impairment remains insufficient. This study aimed to explore the association between glycemic traits and mild cognitive impairment (MCI) in patients with coronary artery disease (CAD), with particular emphasis on whether this association is influenced by varying levels of inflammation.
Methods: This cross-sectional study included 1437 patients with CAD who underwent cognitive function assessment during hospitalization.
Mol Cell Biochem
August 2025
Department of Nursing, Zhangzhou Affiliated Hospital of Fujian Medical University, No. 59 of Shengli Street, Xiangcheng District, ZhangzhouFujian Province, 363000, China.
This study aimed to examine the causal relationship between systolic blood pressure (SBP) and myocardial injury (MI), and to evaluate its prognostic implications for all-cause and cardiovascular mortality. A two-stage analytical approach was used. First, Mendelian randomization (MR) was conducted to assess the independent causal effects of SBP on six MI-related phenotypes, with adjustment for potential confounders, including lipid profiles, glycemic indices, and anthropometric traits.
View Article and Find Full Text PDFNeurol Sci
August 2025
Department of Neurology, Peking University Third Hospital, Beijing, China.
Background: Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder with few therapeutic options. Observational data suggest that type 2 diabetes mellitus (T2DM) might protect against ALS, yet the mechanisms are unclear. Clarifying whether glucose or lipid metabolism underpins this protective effect could guide targeted interventions.
View Article and Find Full Text PDF