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PubMed2005

Biomonitoring of inhaled complex mixtures--ambient air, diesel exhaust and cigarette smoke.

Human biomonitoring comprises the determination of biomarkers in body-fluids, cells and tissues. Biomarkers are generally assigned to one of three classes, namely, biomarkers of exposure, effect or susceptibility. Since biomarkers represent steps in an exposure-disease continuum, their application in epidemiological studies ('molecular epidemiology') shows promise. However, to be a predictor of disease, a biomarker has to be validated. Validation criteria for a biomarker include intrinsic qualities such as specificity, sensitivity, knowledge of background in the population, existence of dose-response relationships, degree of inter- and intra-individual variability, knowledge of the kinetics, confounding and modifying factors. In addition, properties of the sampling and analytical procedures are of relevance, including constraints and non-invasiveness of sampling, stability of sample as well as simplicity, high sensitivity, specificity and speed of the analytical method. It is of particular importance to prove by suitable studies that the biomarker of exposure indicates the actual exposure, the biomarker of effect strongly predicts the actual risk of disease and the biomarker of susceptibility actually modifies the risk. Biomonitoring of the exposure to complex mixtures such as polluted ambient air, diesel exhaust or tobacco smoke is a particular challenge since these exposures have many constituents in common and many people were exposed to more than one of these mixtures. Data on the exposure to polycyclic aromatic hydrocarbons (PAH) and benzene from ambient air, diesel exhaust and tobacco smoke will be presented. In addition, some source-specific biomarkers such as nitro-arenes and nicotine metabolites as well as their application in population groups will be discussed. The second part of the presentation addresses the application of biomarkers for assessing so called 'potentially reduced exposure products' (PREPs). According to a recent report of the Institute of Medicine (USA), "reducing risk of disease by reducing exposure to tobacco toxicants is feasible" and "surrogate biological markers that are associated with tobacco-related diseases could be used to offer guidance as to whether or not PREPs are likely to be risk-reducing." In general, the same validation criteria apply as discussed above. In addition, it is suggested that a panel of biomarkers should be used, representing both smoke phases (gas and particulate phase) and the various chemical classes of smoke constituents (e.g., carbonyls, benzene, PAH, tobacco-specific nitrosamines, aromatic amines). Also, a panel of biomarkers of effect should cover the major known adverse effects of smoking (e.g., oxidative stress, inflammatory processes, lipid peroxidation, lipometabolic disorders, mutagenic effects). Biomarkers of nicotine and carbon monoxide uptake are of interest for evaluating the smoking and inhalation behavior, respectively. Finally, suitable study designs for evaluating PREPs are discussed. It is concluded that suitable biomarkers for assessing the exposure to complex mixtures such as ambient air, diesel exhaust and tobacco smoke as well as for evaluating the exposure-reducing properties of PREPs are already available. Future efforts should focus on the development and validation of biomarkers of effect.

Air↗

PubMed2000

In vitro pentamer formation as a biomarker of tacrolimus-related immunosuppressive activity after liver transplantation.

Therapeutic drug monitoring of tacrolimus (FK) is widely performed to assist adjustments of drug dosage but may be an inadequate surrogate of the immunosuppression induced. The aim of this investigation was to develop an alternative method for measuring FK-related immunosuppressive activity in blood samples from liver transplant recipients. A pentamer formation assay (PFA) was devised based on the attachment of the 12 kDa FK-binding protein (FKBP12) to microtitre plates in the presence of calcineurin, calmodulin, Ca++ and FK. Pentamer formation could be detected at FK concentrations > or = 0.2 microg/l by optimising assay conditions, particularly by including Ca++ (0.5 mM) only during the formation of the pentameric complex. Three methods (blood lysis, proteolytic digestion and use of commercial solutions used in a microparticle enzyme immunoassay (MEIA) technique) were incompatible with PFA measurements after extracting immunosuppressive FK-related material from patients' blood samples. However, therapeutic amounts of FK-related material could be quantified by the PFA assay after extraction of blood samples with methanol. There was a moderate correlation (r = 0.689) of FK equivalents assayed by PFA with results using MEIA in 56 blood samples from 14 liver graft recipients, but no obvious relationship of results to variables reflecting their clinical status.

Biomarkers↗

PubMed2026

Epigenetic alterations in rheumatoid arthritis: multilayer mechanisms and translational opportunities.

Rheumatoid arthritis (RA) is a chronic inflammatory disease driven by immune dysregulation, in which genetic susceptibility and environmental exposures promote persistent synovitis, progressive joint damage, and systemic comorbidities. Recent epigenomic studies show several recurring abnormalities. Many RA susceptibility variants lie outside protein-coding sequence and map to immune-cell and synovial fibroblast regulatory elements, linking inherited risk to enhancer activity, methylation quantitative trait effects, and distal gene control. Blood-based epigenome-wide association studies identify disease-associated DNA methylation signatures, but these signals require careful control for leukocyte composition, smoking, treatment exposure, and disease stage. RA fibroblast-like synoviocytes also display stable methylome remodeling, including relative hypomethylation at loci involved in inflammation, migration, matrix degradation, and apoptosis resistance, while TET3-associated 5-hydroxymethylcytosine has emerged as a functional contributor to chemokine production and invasive stromal behavior. Histone modifications, chromatin accessibility, and 3D genome organization define pathogenic regulatory states and connect non-coding risk loci to effector genes in immune and stromal compartments. Finally, miRNAs, lncRNAs, circRNAs, snoRNAs, extracellular RNAs, and m6A-related pathways add post-transcriptional and chromatin-linked layers with potential biomarker value. We synthesize these findings and discuss translational opportunities for diagnosis, stratification, flare monitoring, and therapeutic targeting, while emphasizing incomplete replication, uneven evidence across epigenetic layers, biospecimen variability, and the need for causal, longitudinal, cell-type-resolved validation.

Humans↗

PubMed2006

Preoperative serum prostate specific antigen remains a significant prognostic variable in predicting biochemical failure after radical prostatectomy.

PURPOSE: Multiple investigators have argued that PSA may no longer be an accurate marker of prostate cancer biology. We determined whether the impact of PSA in predicting biochemical failure after radical prostatectomy has changed since the beginning of the PSA era. MATERIALS AND METHODS: A total of 1,246 patients were identified from the Columbia University Comprehensive Urological Oncology Database who underwent radical prostatectomy by 1 of 3 surgeons between 1988 and 2003. Cox proportional hazards models were fit to the data to estimate the impact of PSA (logPSA) in predicting BCF (PSA 0.2 ng/ml or greater). To determine if the predictive impact of PSA changed over time, patients were classified based on year of surgery, and an interaction term between PSA and time was included. Finally concordance indexes were estimated to determine if the predictive ability of PSA has changed over time. RESULTS: In a Cox model including PSA, year of surgery and a year/PSA interaction term, the impact of PSA appears to change over time (p = 0.002). However, when correcting for the effects of stage and grade there was no significant change in the impact of PSA. In addition, concordance analysis indicated that the predictive ability of PSA has remained constant throughout the PSA era (0.65, 0.66 and 0.64 for each period, respectively). CONCLUSIONS: This study demonstrates that the predictive ability of PSA as a cancer outcomes biomarker has not changed significantly since the beginning of the PSA era. Despite suggestions to the contrary, PSA remains an important variable in predicting risk of BCF after RP.

Humans↗

PubMed1999

The human immunoglobulin variable lambda locus IGLV9 gene is a monomorphic marker in the urban Brazilian population.

The physical map of the human immunoglobulin variable lambda locus (IGLV) located on chromosome 22q11.1-q11.2 shows the existence of 52 functional V-lambda genes distributed among three V-clusters. The IGLV9S1 gene, located in the V-B cluster, is a sequence tagged site and is a useful marker for restriction fragment length polymorphism (RFLP) population studies. The V-lambda genes are associated in the genome with EcoRI fragments detectable in Southern blots of genomic DNA samples. We have analysed DNA samples of an urban Brazilian population by Southern-EcoRI-RFLP using an IGLV9 gene segment. Among 75 unrelated individuals analysed, we detected a single 6.0 kb EcoRI fragment containing the IGLV9 gene at 100% frequency. Reverse transcription followed by polymerase chain reaction (RT-PCR) of peripheral blood leukocyte total RNA from unrelated individuals showed that IGLV9S1 is a functional gene contributing to the B lymphocyte repertoire. These data represent evidence for monomorphism of the IGVL9S1 gene in this urban population. We demonstrate that IGLV9S1 is a functional single copy gene and is an important marker in the IGLV locus.

Biomarkers↗

PubMed2005

[Polygenetic pharmacogenomic strategies to identify drug sensitivity biomarkers].

Pharmacogenomics is a large-scale systematic approach using a variety of genomic technologies to discover drug response determinants and promote a better understanding of the genetic and molecular basis underlying variable drug response among patients. However, few critical prediction markers of drug response have been validated to date. Drug sensitivity is determined by multiple genes:drugs are often involved in complex metabolic pathways before they produce anti-cancer activity, and the related genes do not act in isolation. Although the worldwide research on the human genome exerts a major impact on medical science and advanced medicine, the detailed function and interaction of most genes remain unclear. There is clear evidence that a variety of genes are closely associated with cellular drug sensitivity, but most of the regulatory mechanisms of their expressions are poorly understood. To understand the drug sensitivity mechanism and identify the key biomarkers, recent attention has focused on the transcriptional mechanisms of drug sensitivity genes and their network. These approaches in genome research and the functional analysis may revolutionize the anticancer chemotherapy world. The possible contribution of new challenges and problems of the day were reviewed while showing recent findings on the analyses of 5-FU metabolic pathway and the key gene DPYD as an example.

Antineoplastic Agents↗

PubMed2006

Kolmogorov-Smirnov statistical test for analysis of ZAP-70 expression in B-CLL, compared with quantitative PCR and IgV(H) mutation status.

BACKGROUND: ZAP-70 has been proposed as a surrogate marker for immunoglobulin heavy-chain variable region (IgV(H)) mutation status, which is known as a prognostic marker in B-cell chronic lymphocytic leukemia (CLL). The flow cytometric analysis of ZAP-70 suffers from difficulties in standardization and interpretation. We applied the Kolmogorov-Smirnov (KS) statistical test to make analysis more straightforward. METHODS: We examined ZAP-70 expression by flow cytometry in 53 patients with CLL. Analysis was performed as initially described by Crespo et al. (New England J Med 2003; 348:1764-1775) and alternatively by application of the KS statistical test comparing T cells with B cells. Receiver-operating-characteristics (ROC)-curve analyses were performed to determine the optimal cut-off values for ZAP-70 measured by the two approaches. ZAP-70 protein expression was compared with ZAP-70 mRNA expression measured by a quantitative PCR (qPCR) and with the IgV(H) mutation status. RESULTS: Both flow cytometric analyses correlated well with the molecular technique and proved to be of equal value in predicting the IgV(H) mutation status. Applying the KS test is reproducible, simple, straightforward, and overcomes a number of difficulties encountered in the Crespo-method. CONCLUSIONS: The KS statistical test is an essential part of the software delivered with modern routine analytical flow cytometers and is well suited for analysis of ZAP-70 expression in CLL.

Adult↗

PubMed1998

Hormesis--implications for risk assessment caloric intake (body weight) as an exemplar.

Hormesis can be considered as a parameter which has a non-monotonic relationship with some endpoint. Since caloric intake is such a parameter, and the impact of this parameter on risk assessment has been fairly well characterized, it can provide clues as to how to integrate the information from a hormetic parameter into risk assessments for toxicants. Based on the work with caloric intake, one could: (a) define a biomarker for hormetic effect; (b) integrate specific information on when in the animals lifespan the parameter is active to influence parameters such as survival; (c) evaluate component effects of the overall hormetic response; and (d) address the consequences of a non-monotonic relationship between the hormetic parameter and endpoints critical for risk assessment. These impacts on risk assessments have been characterized for chronic tests, but are also true for short-term tests. A priority is the characterization of the dose-response curves for hormetic parameters. This quantification will be critical in utilizing them in risk assessment. With this information, one could better quantitatively address the changes one expects to result from the hormetic parameter, and limit the uncertainty and variability which occurs in toxicity testing.

Aging↗

PubMed2005

Distinct profiles of Sjögren's syndrome patients with ectopic salivary gland germinal centers revealed by serum cytokines and BAFF.

The formation of ectopic germinal centers (GC) has been described in Sjögren's syndrome (SS), although little is known about the molecular basis of this phenomenon. These structures are a focus of in situ autoantibody production and have been hypothesized to be involved in lymphomagenesis in SS patients. Serum cytokines also play an important role in SS pathogenesis in part via immune dysregulation and may therefore contribute to ectopic GC formation. Herein, highly multiplex cytokine screening of SS patients with (SSGC+) and without (SSGC-) GC formation was done to identify cytokine profiles that correlate with this phenomenon. Serum levels of B-cell activating factor (BAFF) were also screened as a potential biomarker of immune dysregulation in SS and SSGC formation. Univariate analysis demonstrated that serum levels of a broad spectrum of immune and inflammatory modulating cytokines are upregulated in SSGC+ and SSGC- patients relative to unaffected controls IL-1beta, IL-2, IL-6, IL-15, IFN-gamma and CCL4 (MIP-1beta). SSGC+ patients were distinguished from healthy individuals by higher levels of IL-4, IL-10, GM-CSF, IFN-alpha, CCL3 (MIP-1alpha), CCL11 (Eotaxin) and BAFF, while SSGC+ and SSGC- patients differed in CCL2 (MCP-1) expression. Discriminant function analysis (DFA), a multivariate discrimination method that uses observed differences to characterize groups when casual relationships are not well understood, was employed to identify a subset of these biomarkers that maximally discriminate among SSGC+, SSGC- and unaffected individuals. The biomarker having the strongest discriminatory power identified by DFA besides CCL11 (Eotaxin) and IFN-gamma was BAFF. The variables identified by DFA are interdependent and are often of mechanistic significance to the pathologic states they distinguish, suggesting that these factors modulate SS pathology and SSGC formation in a synergistic manner.

Adult↗

PubMed2006

Self-rated health showed a graded association with frequently used biomarkers in a large population sample.

BACKGROUND AND OBJECTIVES: Self-rated health is a widely used measure of health status, but its biologic foundations are poorly understood. We investigated the association of frequently used biomarkers with self-rated health, and the role of these biomarkers in the association of self-rated health with mortality. METHODS: The relation of self-rated health to blood levels of albumin, white blood cell count, hemoglobin, HDL cholesterol, and creatinine was examined in a population-based sample of 4,065 men and women aged 71 years or older. A Cox proportional hazards model was used to determine the association of self-rated health with mortality during 4.9 years. Sociodemographic factors, diagnosed chronic conditions, and activities of daily living disability were controlled for in these analyses. RESULTS: All the biomarkers showed a graded relationship with self-rated health. After adjusting for other indicators, hemoglobin and white cell count were significantly associated with fair or poor self-rated health. When biomarkers and other indicators were adjusted for, self-rated health still was a significant predictor of mortality. CONCLUSION: Self-rated health has a biologic basis, and it can be a sensitive barometer of physiologic states. Self-rated health is likely to predict mortality because it covers the spectrum of health conditions better than the variables measured in the study.

Activities of Daily Living↗

PubMed2004

Environmental and chemical carcinogenesis.

People are continuously exposed exogenously to varying amounts of chemicals that have been shown to have carcinogenic or mutagenic properties in experimental systems. Exposure can occur exogenously when these agents are present in food, air or water, and also endogenously when they are products of metabolism or pathophysiologic states such as inflammation. It has been estimated that exposure to environmental chemical carcinogens may contribute significantly to the causation of a sizable fraction, perhaps a majority, of human cancers, when exposures are related to "life-style" factors such as diet, tobacco use, etc. This chapter summarizes several aspects of environmental chemical carcinogenesis that have been extensively studied and illustrates the power of mechanistic investigation combined with molecular epidemiologic approaches in establishing causative linkages between environmental exposures and increased cancer risks. A causative relationship between exposure to aflatoxin, a strongly carcinogenic mold-produced contaminant of dietary staples in Asia and Africa, and elevated risk for primary liver cancer has been demonstrated through the application of well-validated biomarkers in molecular epidemiology. These studies have also identified a striking synergistic interaction between aflatoxin and hepatitis B virus infection in elevating liver cancer risk. Use of tobacco products provides a clear example of cancer causation by a life-style factor involving carcinogen exposure. Tobacco carcinogens and their DNA adducts are central to cancer induction by tobacco products, and the contribution of specific tobacco carcinogens (e.g. PAH and NNK) to tobacco-induced lung cancer, can be evaluated by a weight of evidence approach. Factors considered include presence in tobacco products, carcinogenicity in laboratory animals, human uptake, metabolism and adduct formation, possible role in causing molecular changes in oncogenes or suppressor genes, and other relevant data. This approach can be applied to evaluation of other environmental carcinogens, and the evaluations would be markedly facilitated by prospective epidemiologic studies incorporating phenotypic carcinogen-specific biomarkers. Heterocyclic amines represent an important class of carcinogens in foods. They are mutagens and carcinogens at numerous organ sites in experimental animals, are produced when meats are heated above 180 degrees C for long periods. Four of these compounds can consistently be identified in well-done meat products from the North American diet, and although a causal linkage has not been established, a majority of epidemiology studies have linked consumption of well-done meat products to cancer of the colon, breast and stomach. Studies employing molecular biomarkers suggest that individuals may differ in their susceptibility to these carcinogens, and genetic polymorphisms may contribute to this variability. Heterocyclic amines, like most other chemical carcinogens, are not carcinogenic per se but must be metabolized by a family of cytochrome P450 enzymes to chemically reactive electrophiles prior to reacting with DNA to initiate a carcinogenic response. These same cytochrome P450 enzymes--as well as enzymes that act on the metabolic products of the cytochromes P450 (e.g. glucuronyl transferase, glutathione S-transferase and others)--also metabolize chemicals by inactivation pathways, and the relative amounts of activation and detoxification will determine whether a chemical is carcinogenic. Because both genetic and environmental factors influence the levels of enzymes that metabolically activate and detoxify chemicals, they can also influence carcinogenic risk. Many of the phenotypes of cancer cells can be the result of mutations, i.e., changes in the nucleotide sequence of DNA that accumulate as tumors progress. These can arise as a result of DNA damage or by the incorporation of non-complementary nucleotides during DNA synthetic processes. Based upon the disparity between the infrequency of spontaneous mutations and the large numbers of mutations reported in human tumors, it has been postulated that cancers must exhibit a mutator phenotype, which would represent an early event in cancer progression. A mutator phenotype could be generated by mutations in genes that normally function to guarantee genetic stability. These mutations presumably arise via DNA damage by environmental or endogenous agents, but it remains to be determined whether the acquisition of a mutator phenotype is a necessary event during tumor progression.

Aflatoxins↗

PubMed2000

Effects of TCDD on thyroid hormone homeostasis in the rat.

A physiological dosimetric model was constructed to describe the effects of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) on circulating thyroid hormones in the rat and to test the hypothesis that these hormonal changes cause chronically elevated serum thyrotropin (thyroid stimulating hormone, TSH), which mediates growth promotion and may lead to thyroid tumors in TCDD-treated rats. The model included diffusion restricted distribution of TCDD among compartments for liver, kidney, white fat, slowly and rapidly perfused tissues, and the thyroxine-sensitive tissues brown fat, pituitary, and thyroid. Blood was distributed among major vessels and the capillary beds of the tissues. Metabolism of TCDD was limited to the liver. Secretion of 3,5,3'-triiodothyronine (T3) and thyroxine (3,5,3',5'-tetraiodothyronine, T4) from the thyroid was modeled as stimulated by circulating TSH, whose release from the pituitary was regulated by the hypothalamic peptides thyrotropin releasing hormone (activating) and somatostatin (inhibiting). Release of these peptides was represented as inhibited and activated, respectively, by circulating T4. Binding proteins for T3 and T4 and metabolism of the hormones by deiodination were included in thyroxine-sensitive tissues. Induction of hepatic UDP-glucuronosyltransferase-1*6 (UGT), the enzyme which glucuronidates T4, was modeled as induced by the complex formed between TCDD and the aryl hydrocarbon receptor. The computed extent of deiodination, primacy of the thyroid in generating T3 from T4, dependence of liver and kidney on locally produced T3, and export of T3 formed in the pituitary agreed with experimental observations. The model reproduced the observed decrease in circulating T4 and elevated serum TSH following chronic administration of TCDD. The altered levels were attributed to the increased clearance of T4 by the induced UGT and the consequent modification of feedback control of hormone releases. These results are consistent with the hypothesis of growth stimulation by elevated TSH, but measured values of this hormone in blood of rats vary over a large range, and the change induced by TCDD is often small. Measured UGT levels are less variable and the increase in this protein is much greater, suggesting that this response may be a more reliable biomarker for effects of TCDD on the thyroid.

Animals↗

PubMed1997

Molecular cytogenetic analysis of buccal cells and lymphocytes from benzene-exposed workers.

Benzene is a well-characterized human carcinogen and clastogen still present in both the occupational and general environment. However, the levels of benzene encountered today are, in most cases, relatively low and new methods, more specific and sensitive than classical cytogenetics, are probably needed to assess if current benzene exposures pose a genotoxic risk to human health. Bearing in mind the leukaemogenic action of benzene, blood lymphocytes appear to be a suitable cell system for biomonitoring studies. Buccal epithelium is an alternative source of tissue for monitoring human exposure to inhaled occupational and environmental genotoxicants. New molecular cytogenetic techniques allowing us to specifically study clastogenic or aneugenic events in human cells may provide the additional sensitivity required. In the present study, fluorescence in situ hybridization was used to examine the content of micronuclei (MN) (using the pan-centromeric DNA probe SO-alphaAllCen) in lymphocytes and buccal cells and to detect numerical abnormalities of chromosome 9 (using a chromosome 9 centromere-specific alphoid DNA probe) in buccal cells from a population occupationally exposed to benzene in an Estonian petrochemical plant. Age-matched Estonian volunteers were used as a control group. Individual benzene exposure levels were estimated to be around 1 p.p.m. (8 h time-weighted average). No increases in the frequency of total MN, MN harbouring whole chromosomes or acentric chromosomal fragments or chromosome 9 numerical abnormalities were detected in relation to benzene exposure in the present study. The lack of positive results was consistent in both buccal cells and lymphocytes, indicating that the benzene exposure levels encountered did not induce detectable clastogenic or aneugenic effects in the exposed workers. Other variables and confounding factors, such as age, smoking or alcohol consumption, did not influence any of the multiple cytogenetic biomarkers analysed.

Benzene↗

PubMed2006

Role and challenges of proteomics in pharma and biotech: technical, scientific and commercial perspective.

Contemporary proteomics, currently in its exponential growth phase, is a bewildering array of tools. Proteomic methods are the result of a convergence of rapidly improving mass spectrometry technologies, protein chemistry and separation sciences, genomics and bioinformatics. Strides in improving proteomics technologies to map and measure proteomes and subproteomes are being made. However, no single proteomic platform appears ideally suited to address all research needs or accomplish ambitious goals satisfactorily. However, proteomics is in a unique position to contribute to protein discovery and to public health in terms of better biomarkers, diagnostics and treatment of disease. While the potential is great, many challenges and issues remain to be solved. Fundamental issues, such as biological variability, pre-analytic factors and analytical reproducibility, remain to be resolved. Neither an all-genetic approach nor an all-proteomic approach will solve biological complexity. Proteomics will be the foundation for constructing and extracting useful knowledge to pharma and biotech depicted in the following path: data --> structured data --> information --> information architecture --> knowledge --> useful knowledge.

Animals↗

PubMed2006

Evaluation of ZAP-70 expression by flow cytometry in chronic lymphocytic leukemia: A multicentric international harmonization process.

The clinical course of patients with chronic lymphocytic leukemia (CLL) is heterogeneous with some patients requiring early therapy whereas others will not be treated for years. The evaluation of an individual CLL patient's prognosis remains a problematic issue. The presence or absence of somatic mutations in the IgVH genes is currently the gold-standard prognostic factor, but this technique is labor intensive and costly. Genomic studies uncovered that 70 kDa zeta-associated protein (ZAP-70) expression was associated with unmutated IgVH genes and ZAP-70 protein expression was proposed as a surrogate for somatic mutational status. Among the available techniques for ZAP-70 detection, flow cytometry is most preferable as it allows the simultaneous quantification of ZAP-70 protein expression levels in CLL cells and residual normal lymphocyte subsets. However, several factors introduce variability in the results reported from different laboratories; these factors include the anti-ZAP-70 antibody clone and conjugate, the staining procedure, the gating strategy, and the method of reporting the results. The need for standardization of the approach led to the organization of an international working group focused on harmonizing all aspects of the technique. During this workshop, a technical consensus was reached on the methods for cell permeabilization and immunophenotyping procedures. An assay was then designed that allowed comparison of two clones of anti-ZAP-70 antibody and the identification of the expression of this molecule in B, T, and NK cells identified in a four multicolor analysis. This procedure was applied to three stabilized blood samples, provided by the UK NEQAS group to all participating members of this study, in order to minimize variability caused by sample storage and shipment. Analysis was performed in 20 laboratories providing interpretable data from 14 centers. Various gating strategies were used and the ZAP-70 levels were expressed as percentage positive (POS) relative to isotype control or normal B-cells or normal T-cells; in addition the levels were reported as a ratio of expression in CLL cells relative to T-cells. The reported level of ZAP-70 expression varied greatly depending on the antibody and the method used to express the results. The CLL/T-cell ZAP-70 expression ratio showed a much lower interlaboratory variation than other reporting strategies and is recommended for multicenter studies. Stabilization results in decreased expression of CD19 making gating more difficult and therefore stabilized samples are not optimal for multicentric analysis of ZAP-70 expression. We assessed the variation of ZAP-70 expression levels in fresh cells according to storage time, which demonstrated that ZAP-70 is labile but sufficiently stable to allow comparison using fresh samples distributed between labs in Europe. These studies have demonstrated progress toward a consensus reporting procedure, and further work is underway to harmonize the preparation and analysis procedures.

Antibodies, Monoclonal↗

PubMed2004

Acetylcholinesterase inhibition as a biomarker of adverse effect. A study of Mytilus edulis exposed to the priority pollutant chlorfenvinphos.

The inhibition of acetylcholinesterase (AChE) activity has been used widely as a biomarker of exposure to organophosphorous pesticides (OPs). However, scientific uncertainty about the risk assessment implications of data describing inhibition of cholinesterases in diverse species and tissues has hampered the use of AChE activity as a biomarker of adverse effect. Here, haemolymph AChE activity was combined with biomarkers of cellular integrity, immunotoxicity and physiological status in order to measure exposure to and the effects of the priority pollutant chlorfenvinphos. Laboratory exposures of the blue mussel Mytilus edulis to commercial grade chlorfenvinphos (Sapecron) were conducted over 24, 48 and 96 h. AChE activity in haemolymph of M. edulis was highly variable and bore no relationship to either sublethal effects or lethality over the range 0.003-0.03 mg/l chlorfenvinphos. In comparison, concentration dependent inhibition was evident for each of the remaining biomarkers (phagocytic activity, spontaneous cytotoxicity, neutral red retention time, total haemolymph protein). Mussels at the highest exposure concentration showed visual signs of neurotoxicity (impaired neuromuscular control). Haemocyte phagocytic activity and spontaneous cytotoxicity responses were highly sensitive to chlorfenvinphos with significant modulation evident after 24 h exposure to environmentally realistic concentrations of 0.007 mg/l (P = 0.0003). Thus the immune function and well being of the mussels was significantly impacted in the absence of measurable inhibition of haemolymph AChE.

Acetylcholinesterase↗

PubMed2003

Proteomic analysis of chronic lymphocytic leukemia subtypes with mutated or unmutated Ig V(H) genes.

Chronic lymphocytic leukemia (CLL) is a common hematopoietic malignant disease with variable outcome. CLL has been divided into distinct groups based on whether somatic hypermutation has occurred in the variable region of the immunoglobulin heavy-chain locus or alternatively if the cells express higher levels of the CD38 protein. We have analyzed the proteome of 12 cases of CLL (six mutated (M-CLL) and six unmutated (UM-CLL) immunoglobulin heavy-chain loci; seven CD38-negative and five CD38-positive) using two-dimensional electrophoresis and mass spectrometry. Statistical evaluation using principal component analysis indicated significant differences in patterns of protein expression between the cases with and without somatic mutation. Specific proteins indicated by principal component analysis as varying between the prognostic groups were characterized using mass spectrometry. The levels of F-actin-capping protein beta subunit, 14-3-3 beta protein, and laminin-binding protein precursor were significantly increased in M-CLL relative to UM-CLL. In addition, primary sequence data from tandem mass spectrometry showed that nucleophosmin was present as several protein spots in M-CLL but was not detected in UM-CLL samples, suggesting that several post-translationally modified forms of nucleophosmin vary between these two sample groups. No specific differences were found between CD38-positive and -negative patient samples using the same approach. The results presented show that proteomic analysis can complement other approaches in identifying proteins that may have potential value in the biological and diagnostic distinction between important clinical subtypes of CLL.

14-3-3 Proteins↗

PubMed2006

ZAP-70 expression in B-cell chronic lymphocytic leukemia: evaluation by external (isotypic) or internal (T/NK cells) controls and correlation with IgV(H) mutations.

BACKGROUND: Expression of T cell specific zeta-associated protein 70 (ZAP-70) by B-cell chronic lymphocytic leukemia (B-CLL) cells, as investigated by flow cytometry, has both prognostic relevance and predictive power as surrogate for immunoglobulin heavy chain variable region (IgV(H)) mutations, although a standardization of the cytometric protocol is still lacking. METHODS: Flow cytometric analyses for ZAP-70 were performed in peripheral blood samples from 145 B-CLL (124 with IgV(H) mutations) by a standard three-color protocol. Identification of ZAP-70(+) cell population was based on an external negative control, i.e., the isotypic control (ISO method) or an internal positive control, i.e., the population of residual normal T/NK cells (TNK method). A comparison between these two approaches was performed. RESULTS: While 86/145 cases were concordant as for ZAP-70 expression according to the two methods (ISO(+)TNK(+) or ISO(-)TNK(-)), 59/145 cases had discordant ZAP-70 expression, mainly (56/59) showing a ISO(+)TNK(-) profile. These latter cases express higher levels of ZAP-70 in their normal T cell component. Moreover, discordant ISO(+)TNK(-) cases had a IgV(H) gene mutation profile similar to that of concordantly positive cases and different from ZAP-70 concordantly negative B-CLL. CONCLUSION: Analysis of ZAP-70 expression by B-CLL cells by using the ISO method allows to overcome the variability in the expression of ZAP-70 by residual T cells and yields a better correlation with IgV(H) gene mutations. A receiver operating characteristic analysis suggests to employ a higher cut-off than the commonly used 20%. A parallel evaluation of the prognostic value of ZAP-70 expression, as determined according to the ISO and TNK methods, is still needed.

Adult↗