The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
HDL in Infectious Diseases and Sepsis
Open accessAbstract
During infection significant alterations in lipid metabolism and lipoprotein composition occur. Triglyceride and VLDL cholesterol levels increase, while reduced HDL cholesterol (HDL-C) and LDL cholesterol (LDL-C) levels are observed. More importantly, endotoxemia modulates HDL composition and size: phospholipids are reduced as well as apolipoprotein (apo) A-I, while serum amyloid A (SAA) and secretory phospholipase A2 (sPLA2) dramatically increase, and, although the total HDL particle number does not change, a significant decrease in the number of small- and medium-size particles is observed. Low HDL-C levels inversely correlate with the severity of septic disease and associate with an exaggerated systemic inflammatory response. HDL, as well as other plasma lipoproteins, can bind and neutralize Gram-negative bacterial lipopolysaccharide (LPS) and Gram-positive bacterial lipoteichoic acid (LTA), thus favoring the clearance of these products. HDLs are emerging also as a relevant player during parasitic infections, and a specific component of HDL, namely, apoL-1, confers innate immunity against trypanosome by favoring lysosomal swelling which kills the parasite. During virus infections, proteins associated with the modulation of cholesterol bioavailability in the lipid rafts such as ABCA1 and SR-BI have been shown to favor virus entry into the cells. Pharmacological studies support the benefit of recombinant HDL or apoA-I mimetics during bacterial infection, while apoL-1-nanobody complexes were tested for trypanosome infection. Finally, SR-BI antagonism represents a novel and forefront approach interfering with hepatitis C virus entry which is currently tested in clinical studies. From the coming years, we have to expect new and compelling observations further linking HDL to innate immunity and infections.
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Effects of torcetrapib in patients at high risk for coronary events
Barter, P. J., Caulfield, M., Eriksson, M., Grundy, S. M., Kastelein, J. J. P., Komajda, M., Lopez-Sendon, J., Mosca, L., Tardif, J.-C., Waters, D. D., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa0706628 · Cited by 3,139
Khovidhunkit, W., Kim, M.-S., Memon, R. A., Shigenaga, J. K., Moser, A. H., Feingold, K. R., & Grunfeld, C. (2004) · Journal of Lipid Research · doi:10.1194/jlr.r300019-jlr200 · Cited by 1,481
Impact of HIV infection and HAART on serum lipids in men
Riddler, S. A. (2003) · JAMA · doi:10.1001/jama.289.22.2978 · Cited by 624
Murphy, A. J., Woollard, K. J., Suhartoyo, A., Stirzaker, R. A., Shaw, J., Sviridov, D., & Chin-Dusting, J. P. F. (2011) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.111.226258 · Cited by 244 · cited 1×
“HDLs (and apoA-I) attenuate also LPS-induced neutrophil activation (Murphy et al. 2011).”
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Metadata
- Authors
- Pirillo, A., Catapano, A. L., & Norata, G. D.
- Venue
- Handbook of Experimental Pharmacology
- Publisher
- Springer International Publishing
- Published
- 2014-12-01
- Volume
- 224
- Pages
- 483-508
- ISSN
- 0171-2004 (ISSN-L)
- 1865-0325
- OpenAlex
- W10057326
- Cited by
- 237
- References
- 4
- FWCI
- 80.71
- Type
- book chapter
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.