Aims/hypothesis: Insulin resistance and inflammation are components of a biological framework that is hypothesised to be shared by type 2 diabetes and depression. However, depressive symptoms include a large heterogeneity of somatic and cognitive-affective symptoms, and this may obscure the associations within this biological framework. Cross-sectional and longitudinal data were used to disentangle the contributions of insulin resistance and inflammation to somatic and cognitive-affective symptoms of depression.
Methods: This secondary analysis used data from the Emotional Distress Sub-Study of the GRADE trial. Insulin resistance and inflammation were assessed using the HOMA-IR estimation and high-sensitivity C-reactive protein (hsCRP) levels, respectively, at baseline and at the study visits at year 1 and year 3 (HOMA-IR) and every 6 months (hsCRP) for up to 3 years of follow-up. Depressive symptoms were assessed at baseline using the Patient Health Questionnaire (PHQ-8), and a total score as well as symptom cluster scores for cognitive-affective and somatic symptoms were calculated. For the cross-sectional analyses, linear regression analyses were performed, with inflammation and insulin resistance at baseline as dependent variables. For the longitudinal analyses, linear mixed-effect regression analyses were performed, with inflammation and insulin resistance at the various time points as dependent variables. In all analyses, depressive symptoms (total score and symptom cluster scores) were the independent variables, controlled for important demographic, anthropometric and metabolic confounders. For the analysis of insulin resistance (HOMA-IR), data from 1321 participants were analysed. For the analysis of inflammation (hsCRP), data from 1739 participants were analysed.
Results: In cross-sectional analysis and after adjustment for potential confounders, a one-unit increase in PHQ-8 total score was significantly associated with a 0.8% increase in HOMA-IR (p=0.007), but not with hsCRP (0.6% increase, p=0.283). The somatic symptom score was associated with a 5.8% increase in HOMA-IR (p=0.004). Single-item analyses of depressive symptoms showed that fatigue (3.6% increase, p=0.002) and increased/decreased appetite (3.5% increase, p=0.009) were significantly associated with HOMA-IR cross-sectionally. The cognitive-affective symptom score was not significantly associated with HOMA-IR at baseline. In longitudinal analyses, a one-unit increase in PHQ-8 total score was significantly associated with a 0.8% increase in hsCRP over time (p=0.014), but not with HOMA-IR over time (0.1% decrease, p=0.564). Again, only the somatic symptom cluster was significantly associated with hsCRP over time (5.2% increase, p=0.017), while the cognitive-affective symptom score was not.
Conclusion/interpretation: The results highlight the associations of depressive symptoms with markers of inflammation and insulin resistance, both cross-sectionally and longitudinally, in individuals with type 2 diabetes. In particular, somatic symptoms of depression appear to be the driver of these associations, even after controlling for concomitant conditions, with a potential role for fatigue and issues with appetite.
Trial Registration: ClinicalTrials.gov NCT01794143.
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http://dx.doi.org/10.1007/s00125-025-06369-8 | DOI Listing |
Front Cardiovasc Med
February 2025
The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, China.
Objective: Estimated glucose disposal rate (eGDR) is a reliable marker of insulin resistance (IR), which has been proven to be strongly linked to cardiovascular and renal diseases. However, the link between eGDR and the occurrence of cardiovascular disease (CVD) in individuals exhibiting Cardiovascular-Kidney-Metabolic (CKM) syndrome stages 0-3 remains ambiguous.
Methods: The data employed in this investigation was procured from the China Health and Retirement Longitudinal Study (CHARLS).
Front Neurosci
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Biomedical Research Center, QU Health, Qatar University, Doha, Qatar.
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Department of Endocrine and Metabolic Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Background: The results of population-based studies show a diverse association between the triglyceride-glucose (TyG) index and hypertension. The present study aimed to investigate this association based on a cross-sectional study on Chinese adults and meta-analysis of epidemiology studies.
Methods: The cross-sectional analysis used the baseline data from the on-going REACTION study in China.
Cureus
February 2025
Department of Biochemistry, Government Medical College Narsampet, Sarwapuram, IND.
Background: Diabetes mellitus (DM) increases the risk of left ventricular dysfunction (LVD), which can progress to heart failure if undetected. Echocardiography, a non-invasive and cost-effective imaging tool, provides real-time assessment of left ventricular (LV) function and enables early detection of myocardial dysfunction using advanced techniques such as tissue Doppler imaging and strain analysis. Diabetic patients are particularly prone to LVD due to chronic hyperglycemia, insulin resistance, and systemic inflammation, leading to myocardial fibrosis, microvascular dysfunction, and oxidative stress.
View Article and Find Full Text PDFCureus
February 2025
Internal Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Background Obesity is a risk factor for metabolic syndrome, which is a combination of metabolic abnormalities leading to development of cardiovascular abnormalities. Based on factors such as body mass index and metabolic syndrome, specific phenotypes for obesity have been established. These include metabolically healthy obese (MHO), metabolically unhealthy non-obese (MUNO), metabolically unhealthy obese (MUO), and metabolically healthy non-obese (MHNO).
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