| Literature DB >> 23688010 |
Marta Letizia Hribal, Teresa Vanessa Fiorentino, Giorgio Sesti1.
Abstract
Increased plasma levels of both leptin and C reactive protein (CRP) have been reported in a number of conditions, including obesity, and have been linked to cardiovascular pathophysiological processes and increased cardiovascular risk; interestingly these two biomarkers appear to be able to reciprocally regulate their bioavailability, through complex mechanisms that have not been completely clarified yet. Here we first review clinical evidence suggesting not only that the circulatory levels of CRP and leptin show an independent correlation, but also that assessing them in tandem may result in an increased ability to predict cardiovascular disease. We summarize also molecular studies showing that leptin is able to promote CRP production from hepatocytes and endothelial cells in vitro and discuss the studies addressing the possibility that in vivo leptin administration may be able to modulate plasma CRP levels. Furthermore, we describe two studies demonstrating that CRP directly binds leptin in extra-cellular settings, thus impairing its biological actions. Finally we report genetic evidence that common variations at the leptin receptor locus are associated with CRP blood levels. Overall, the data reviewed here show that the chronic elevation of CRP observed in obese subjects may worsen leptin resistance, contributing to the pathogenesis of cardiovascular disease, and highlight a potential link between conditions, such as leptin resistance and endothelial dysfunction, that may be amenable of pharmacological treatment targeted to the disruption of leptin-CRP interaction.Entities:
Mesh:
Substances:
Year: 2014 PMID: 23688010 PMCID: PMC4155811 DOI: 10.2174/13816128113199990016
Source DB: PubMed Journal: Curr Pharm Des ISSN: 1381-6128 Impact factor: 3.116
Clinical studies showing a direct association between CRP and leptin plasma levels.
|
|
|
|
|
|
|---|---|---|---|---|
| 179 healthy volunteersa | 18-22 | 0.51±1.45 | 2.3±2.9 | R =0.28, |
| 100 healthy volunteersb | 36±2 | 3.07±0.046 W1.06±0.012 M | 16.9±2 W5.5±0.5 M | |
| 946 healthy community-dwelling, older adultsc | 65-102 | 2.8 (4.4) | 8.6 (12.3) | β = 0.20, |
| 1862 healthy young adultsd | 24-39 | 0.75 (0.32-1.93) W0.56 (0.29-1.27) M | 12.5(7.8-19.5) W4.1(2.4-6.5) M | |
| 20 OB5 NO e | 47.8±13.3 OB56.8±7.6 NO | 5.7±3.4 OB3.8±1.6 NO | 17.6±8.7 OB6.2±3.3 NO | R=0.43,P<0.044 # |
| 63 (28 MO)f | 35±6.89 | 8.2 (0.13-56.6) | 52.7±19.8 MO7.6±4.8 | R=0.53,P<0.001# |
| 148 with T2Dg | 37-84 | 0.788±0.049 | 5.6±0.4 | |
| 150 with T2Dh | 52.8±11.1 W51.9±9.9 M | 2.34±1.651.72±2.1 | 9.82±6.784.76±2.44 | β= 0.326, |
| 6251 (598 withT2D)i | 44.4±0.21 § | NA | NA | |
| 1460 (894 with T2D)l | 30-77 | 1.7(0.8-3.8) | 12.1(6.5-23.2) |
[27]a ; [28]b; [29]c; [30]d; [31]e; [32]f; [33]g; [34]h; [35]i; [38]l
W=women; M=men; OB=obese; NO=non-obese; MO=morbidly obese; T2D= type 2 diabetes; NA=not available
The correlations were not longer significant after adjustment for BMI in obese individuals; § values are expressed as mean ±SE