Effects of sample handling and storage on quantitative lipid analysis in human serum

There is sparse information about specific storage and handling protocols that minimize analytical error and variability in samples evaluated by targeted metabolomics. Variance components that affect quantitative lipid analysis in a set of human serum samples were determined. The effects of freeze-thaw, extraction state, storage temperature, and freeze-thaw prior to density-based lipoprotein fractionation were quantified. The quantification of high abundance metabolites, representing the biologically relevant lipid species in humans, was highly repeatable (with coefficients of variation as low as 0.01 and 0.02) and largely unaffected by 1–3 freeze-thaw cycles (with 0–8% of metabolites affected in each lipid class). Extraction state had effects on total lipid class amounts, including decreased diacylglycerol and increased phosphatidylethanolamine in thawed compared with frozen samples. The effects of storage temperature over 1 week were minimal, with 0–4% of metabolites affected by storage at 4°C, −20°C, or −80°C in most lipid classes, and 19% of metabolites in diacylglycerol affected by storage at −20°C. Freezing prior to lipoprotein fractionation by density ultracentrifugation decreased HDL free cholesterol by 37% and VLDL free fatty acid by 36%, and increased LDL cholesterol ester by 35% compared with fresh samples. These findings suggest that density-based fractionation should preferably be undertaken in fresh serum samples because up to 37% variability in HDL and LDL cholesterol could result from a single freeze-thaw cycle. Conversely, quantitative lipid analysis within unfractionated serum is minimally affected even with repeated freeze-thaw cycles

Serum proteome analysis for profiling protein markers associated with carcinogenesis and lymph node metastasis in nasopharyngeal carcinoma

Nasopharyngeal carcinoma (NPC), one of the most common cancers in population with Chinese or Asian progeny, poses a serious health problem for southern China. It is unfortunate that most NPC victims have had lymph node metastasis (LNM) when first diagnosed. We believe that the 2D based serum proteome analysis can be useful in discovering new biomarkers that may aid in the diagnosis and therapy of NPC patients. To filter the tumor specific antigen markers of NPC, sera from 42 healthy volunteers, 27 non-LNM NPC patients and 37 LNM NPC patients were selected for screening study using 2D combined with MS. Pretreatment strategy, including sonication, albumin and immunoglobulin G (IgG) depletion, was adopted for screening differentially expressed proteins of low abundance in serum. By 2D image analysis and MALDI-TOF-MS identification, twenty-three protein spots were differentially expressed. Three of them were further validated in the sera using enzyme-linked immunosorbent assay (ELISA). Our research demonstrates that HSP70, sICAM-1 and SAA, confirmed with ELISA at sera and immunohistochemistry, are potential NPC metastasis-specific serum biomarkers which may be of great underlying significance in clinical detection and management of NPC

Genetic Effect of Two APOA Repeat Polymorphisms (Kringle 4 and Pentanucleotide Repeats) on Plasma Lp(a) Levels in American Samoans

Elevated plasma lipoprotein(a) [Lp(a)] level has been established as an independent risk factor for atherosclerosis and coronary heart disease. Considerable ethnic group differences in the distribution of plasma Lp(a) levels have raised public health concerns. Recently, we have reported that Samoans have the lowest plasma Lp(a) levels of any population group. In the present investigation, we report the contribution of two apolipoprotein(a) (APOA) polymorphisms, the kringle 4 type 2 (K4) repeat and the pentanucleotide repeat (PNR), in affecting plasma Lp(a) levels in an American Samoan sample (n ~ 309). The K4 repeats ranged in size from 15 to 40. The common aneles contained repeats ranging from 26 to 36 with allele frequencies between 5.5% to 9.7%, and these accounted for 82% of an alleles. An inverse relationship between K4 repeat nnmber and plasma Lp(a) level was observed for single-banded (r ~ - 0.59, P ~ 0.0001) and double-banded phenotypes (r ~ - 0.50, p ~ 0.0001). This polymorphism explained 60% of the variation in plasma Lp(a) level in American Samoans. For the PNR polymorphism, five different repeat aneles and eight different genotypes were identified; the most common anele was eight repeats. The *8 PNR anele was associated with a wide range of K4 repeats, the *9 PNR allele with larger K4 repeats (25-40), and the *10 PNR with smaller K4 repeats (15-24). Analysis of variance (ANOV A) revealed that the PNR polymorphism accounts for 2.1 % of the variability in plasma Lp(a) levels in this sample, when the K4 repeat polymorphism was taken into account. Our data show that common polymorphisms in the APOA gene are major detenninants of plasma Lp(a) variation in American Samoans