Association between visceral/subcutaneous adipose tissue ratio and plasma inflammatory markers and score for cardiovascular risk prediction in a Brazilian cohort: Pró-Saúde Study

The correlation between visceral fat/subcutaneous fat area ratio and monocyte/high-density lipoprotein ratio in patients with type 2 diabetes mellitus and albuminuria

OBJECTIVE

This study aims to observe the correlation between the visceral fat/subcutaneous fat area ratio (VSR) and peripheral blood monocyte/high-density lipoprotein ratio (MHR) in patients with type 2 diabetes mellitus (T2DM) and albuminuria.

METHODS

Based on the urinary albumin/creatinine ratio (UACR), 89 T2DM patients were divided into normo-albuminuria group (n = 49, UACR <30 mg/g) and albuminuria group (n = 40, UACR ≥30 mg/g). Gender, age, body mass index (BMI), duration of T2DM, blood pressure, visceral fat area (VA), subcutaneous fat area (SA), biochemical indexes of blood serum and urinary were collected and compared between the two groups, and the relationship between VSR and MHR was analyzed in albuminuria group.

RESULTS

No significant differences existed in gender, age, BMI, duration of diabetes, blood pressure, serum lipids, and hemoglobin Alc between the two groups. The levels of VA, VSR, MHR, and UACR were higher in the albuminuria group (P < 0.05). VSR was positively correlated with MHR (r = 0.39, P < 0.01), whereas VA was not significantly correlated with MHR in the albuminuria group.

CONCLUSION

Compared with VA, VSR was significantly correlated with MHR, suggesting that VSR is more closely related to the occurrence of chronic inflammation in type 2 diabetics with albuminuria.

Association of abdominal obesity and systolic blood pressure indices with cardiovascular disease risk prediction among community-dwelling older adults

<b>Background:</b> Excess adiposity is an established risk factor for cardiovascular disease (CVD), therefore the early screening indies with predicted CVD risk is more useful for older adults. The current study evaluated the associations between anthropometric, body composition and dietary indices and elevated 10-year CVD risk in older people.<br /> <b>Methods:</b> This research, which involved 55 to 94-year-olds living in the community. Standard techniques were used to determine anthropometric factors and body composition indicators. The risk prediction chart created by World Health Organization and International Society of Hypertension was used to calculate the CVD risk score. Odds ratio (OR) and 95% confidence interval (CI) were determined.<br /> <b>Results:</b> CVD risk prediction was positively correlated with the anthropometric and body composition parameters. After controlling for confounding variables, the logistic regression analysis revealed that waist circumference (OR=16.34; 95% CI: 7.22, 36.98; <i>p</i>&lt;0.001), systolic blood pressure (BP) (OR=9.53; 95% CI: 4.52, 20.07; <i>p</i>&lt;0.001), and visceral adipose tissue percentage (OR=5.47; 95% CI: 2.98, 10.01; <i>p</i>&lt;0.001) were correlated with cardiovascular risk prediction.<br /> <b>Conclusions:</b> Abdominal obesity and increase of systolic BP were associated to increased risk for CVD. Additionally, a positive association between the risk factors for CVD (%visceral adipose tissue) and diet (cholesterol consumption) was established.

Association of higher plasma leptin levels with HOMA-IR index, high sensitivity C-reactive protein and glycolipid metabolism in patients with chronic schizophrenia: A multi-center cross-sectional study

BACKGROUND

Previous research has revealed that plasma leptin levels were closely related to glycolipid metabolism in schizophrenic patients. Insulin resistance (IR) and high sensitivity C-reactive protein (hs-CRP) were involved in glucolipid metabolism disorders. This study explored the correlation between plasma higher leptin levels, homeostasis model assessment of insulin resistance (HOMA-IR) index, hs-CRP and glycolipid metabolism in patients with chronic schizophrenia (CS).

METHODS

322 subjects were enrolled, and the psychopathological symptoms of each patient were assessed by a 30-item Positive and Negative Syndrome Scale (PANSS_-30). Patients' plasma leptin levels were measured by enzyme-linked immunosorbent assay (ELISA). Fasting blood glucose (FBG) levels were determined by oxidase method. Insulin levels were tested by electrochemiluminescence, and hs-CRP levels were tested by immunoturbidimetry. IBM SPSS 22.0 was used for data analysis.

RESULTS

Compared to the lower leptin group, patients in the higher leptin group had significantly higher body mass index (BMI), total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL-C), insulin, HOMA-IR and hs-CRP levels; and lower negative factor scores, cognitive factor scores, and PANSS total scores (P < 0.05). Plasma leptin levels in CS patients were positively correlated with BMI, TC, TG, LDL-C, insulin, HOMA-IR and hs-CRP levels, and were negatively correlated with gender (male = 1, Female = 2), positive factor scores, negative factor scores, cognitive factor scores and PANSS total scores. Multiple linear regression analysis revealed that gender, BMI, positive factor scores, PANSS total scores, FBG, LDL-C, insulin, HOMA-IR and hs-CRP levels were independent influencing factors of leptin levels in CS patients (P < 0.05).

CONCLUSION

Gender, BMI, positive factor scores, PANSS total scores, FBG, LDL-C, insulin, HOMA-IR and hs-CRP levels were independent influencing factors of plasma leptin levels in CS patients. Plasma leptin, HOMA-IR and hs-CRP levels should be measured regularly in CS patients to prevent or treat the disorders of glucose and lipid metabolism comorbidity with schizophrenia patients in clinical diagnosis and treatment.