Increased Hepatic Fibrinogen Bβ-gene Transcription Is not enough to Increase Plasma Fibrinogen Levels

Zeolite Nanoparticles for Selective Sorption of Plasma Proteins

The affinity of zeolite nanoparticles (diameter of 8-12 nm) possessing high surface area and high pore volume towards human plasma proteins has been investigated. The protein composition (corona) of zeolite nanoparticles has been shown to be more dependent on the plasma protein concentrations and the type of zeolites than zeolite nanoparticles concentration. The number of proteins present in the corona of zeolite nanoparticles at 100% plasma (in vivo state) is less than with 10% plasma exposure. This could be due to a competition between the proteins to occupy the corona of the zeolite nanoparticles. Moreover, a high selective adsorption for apolipoprotein C-III (APOC-III) and fibrinogen on the zeolite nanoparticles at high plasma concentration (100%) was observed. While the zeolite nanoparticles exposed to low plasma concentration (10%) exhibited a high selective adsorption for immunoglobulin gamma (i.e. IGHG1, IGHG2 and IGHG4) proteins. The zeolite nanoparticles can potentially be used for selectively capture of APOC-III in order to reduce the activation of lipoprotein lipase inhibition during hypertriglyceridemia treatment. The zeolite nanoparticles can be adapted to hemophilic patients (hemophilia A (F-VIII deficient) and hemophilia B (F-IX deficient)) with a risk of bleeding, and thus might be potentially used in combination with the existing therapy.

Personalized protein coronas: a "key" factor at the nanobiointerface

It is now well known that the primary interactions of biological entities (e.g., tissues and cells) with nanoparticles (NPs) are strongly influenced by the protein composition of the "corona" (i.e., the NP surface attached proteins). The composition of the corona strongly depends on the protein source (e.g., human plasma). Because the protein source determines the NP corona, it is reasonable to hypothesize that humans with specific disease(s) may have specific NP coronas. To test this hypothesis, we incubated two different hydrophobic/hydrophilic types of NPs (polystyrene and silica) with plasma from human subjects with different diseases and medical conditions (e.g., breast cancer, diabetes, hypercholesterolemia, rheumatism, fauvism, smoking, hemodialysis, thalassemia, hemophilia A and B, pregnancy, common cold and hypofibrinogenemia). Our results demonstrate that the type of disease has a crucial role in the protein composition of the NP corona. Based on these results, we introduce the concept of the "personalized protein corona" (PPC) as a determinant factor in nano-biomedical science. This study will help researchers rationally design experiments based on the "personalized protein corona" for clinical and biological applications.

Fibrinogen gene regulation

The Aα, Bβ and γ polypeptide chains of fibrinogen are encoded by a three gene cluster on human chromosome four. The fibrinogen genes (FGB-FGA-FGG) are expressed almost exclusively in hepatocytes where their output is coordinated to ensure a sufficient mRNA pool for each chain and maintain an abundant plasma fibrinogen protein level. Fibrinogen gene expression is controlled by the activity of proximal promoters which contain binding sites for hepatocyte transcription factors, including proteins which influence fibrinogen transcription in response to acute-phase inflammatory stimuli. The fibrinogen gene cluster also contains cis regulatory elements; enhancer sequences with liver activities identified by sequence conservation and functional genomics. While the transcriptional control of this gene cluster is fascinating biology, the medical impetus to understand fibrinogen gene regulation stems from the association of cardiovascular disease risk with high level circulating fibrinogen. In the general population this level varies from about 1.5 to 3.5 g/l. This variation between individuals is influenced by genotype, suggesting there are genetic variants contributing to fibrinogen levels which reside in fibrinogen regulatory loci. A complete picture of how fibrinogen genes are regulated will therefore point towards novel sources of regulatory variants. In this review we discuss regulation of the fibrinogen genes from proximal promoters and enhancers, the influence of acute-phase stimulation, post-transcriptional regulation by miRNAs and functional regulatory variants identified in genetic studies. Finally, we discuss the fibrinogen locus in light of recent advances in understanding chromosomal architecture and suggest future directions for researching the mechanisms that control fibrinogen expression.

Quantitative RT-PCR analysis demonstrates that synthesis of the recombinant fibrinogen is dependent on the transcription and synthesis of gamma-chain

BACKGROUND

The purpose of this study was to examine the relationship between the production of secreted fibrinogen and the synthesis of gamma-chain mRNA.

METHODS

We transfected a gamma-chain expression vector into Chinese hamster ovary cells already expressing both Aalpha- and Bbeta-chains of fibrinogen and measured fibrinogen output concentrations by ELISA. We quantified both gamma-chain and Bbeta-chain mRNA concentrations using the recently developed TaqMan fluorogenic detection system.

RESULTS

The concentration of secreted fibrinogen into the media positively correlated with the amount of fibrinogen contained in the cell lysates. Additionally, quantitative mRNA assays revealed that the fibrinogen concentration in the cell lysates correlated well with the concentration of gamma-chain mRNA (r=0.7077, p<0.01) but not with the concentration of Bbeta-chain mRNA (r=0.0224, NS).

CONCLUSIONS

These results demonstrate that the amount of recombinant fibrinogen produced in cells transfected with the gamma-chain vector, also expressing normal Aalpha- and Bbeta-chains, is dependent on the transcription of gamma-chain mRNA. Namely, in this recombinant expression system using a two-step transfection procedure, gamma-chain synthesis is the rate-limiting factor for fibrinogen production. This quantitative method to measure mRNA may prove very useful for further in vivo analysis of fibrinogen gene transcription.