Inverse Regulation of Serum Osteoprotegerin and B-Type Natriuretic Peptide Concentrations by Free Fatty Acids Elevation in Young Healthy Humans

The association between plasma N-terminal pro-brain natriuretic peptide concentration and metabolic disturbances in women with depressive symptoms

BACKGROUND

The relationship between brain natriuretic peptides and depression was studied in patients with cardiovascular diseases (CVD), but the data in people without CVD are limited. Metabolic disturbances can be associated with natriuretic peptides' levels. The study aimed to assess serum N-terminal pro-brain natriuretic peptide (NT-proBNP) level in women with depressive symptoms and its relationship with metabolic disturbances.

METHODS

The analysis included 347 women (20-60 years old) from Bialystok PLUS cohort study: 98 with depressive symptoms and 249 controls. Clinical examination, oral glucose tolerance test (OGTT) and assessment of lipid, sex hormone binding globulin (SHBG) and NT-proBNP concentrations in the blood were performed. The participants completed Beck Depression Inventory questionnaire.

RESULTS

Metabolic syndrome was more frequent in the group of women with depressive symptoms compared to women without depressive symptoms. Women with depressive symptoms had lower NT-proBNP level than the control group - 45.88 (27.80-67.04) vs 56.49 (32.42-94.25) pg/mL, p = 0.027. Multiple linear regression analysis of all women showed that NT-proBNP level was reversely associated with the presence of depressive symptoms, waist circumference and heart rate and positively connected with age. In the group of women with depressive symptoms, we observed negative correlations between NT-proBNP level and insulin concentration at 60 min of OGTT, diastolic blood pressure and a positive correlation with SHBG.

CONCLUSIONS

NT-proBNP level is decreased in women with depressive symptoms, which might be connected with metabolic disturbances in this group.

Recent advances in nanomaterials-based optical sensors for detection of various biomarkers (inorganic species, organic and biomolecules)

This review briefly emphasizes the different detection approaches (electrochemical sensors, chemiluminescence, surface-enhanced Raman scattering), functional nanostructure materials (quantum dots, metal nanoparticles, metal nanoclusters, magnetic nanomaterials, metal oxide nanoparticles, polymer-based nanomaterials, and carbonaceous nanomaterials) and detection mechanisms. Further, this review emphasis on the integration of functional nanomaterials with optical spectroscopic techniques for the identification of various biomarkers (nucleic acids, glucose, uric acid, oxytocin, dopamine, ascorbic acid, bilirubin, spermine, serotonin, thiocyanate, Pb²⁺ , Cu²⁺ , Hg²⁺ , F^- , peptides, and cancer biomarkers (mucin 1, prostate specific antigen, carcinoembryonic antigen, CA15-3, human epidermal growth factor receptor 2, C-reactive protein, and interleukin-6). Analytical characteristics of nanomaterials-based optical sensors are summarized in Tables, providing the insights of nanomaterials-based optical sensors for biomarkers detection. Finally, the opportunities and challenges of nanomaterials-based optical analytical approaches for the detection of various biomarkers (inorganic, organic, biomolecules, peptides and proteins) are discussed.