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Screening and testing for endocrine disruption in fish-biomarkers as "signposts," not "traffic lights," in risk assessment.

Biomarkers are currently best used as mechanistic "signposts" rather than as "traffic lights" in the environmental risk assessment of endocrine-disrupting chemicals (EDCs). In field studies, biomarkers of exposure [e.g., vitellogenin (VTG) induction in male fish] are powerful tools for tracking single substances and mixtures of concern. Biomarkers also provide linkage between field and laboratory data, thereby playing an important role in directing the need for and design of fish chronic tests for EDCs. It is the adverse effect end points (e.g., altered development, growth, and/or reproduction) from such tests that are most valuable for calculating adverseNOEC (no observed effect concentration) or adverseEC10 (effective concentration for a 10% response) and subsequently deriving predicted no effect concentrations (PNECs). With current uncertainties, biomarkerNOEC or biomarkerEC10 data should not be used in isolation to derive PNECs. In the future, however, there may be scope to increasingly use biomarker data in environmental decision making, if plausible linkages can be made across levels of organization such that adverse outcomes might be envisaged relative to biomarker responses. For biomarkers to fulfil their potential, they should be mechanistically relevant and reproducible (as measured by interlaboratory comparisons of the same protocol). VTG is a good example of such a biomarker in that it provides an insight to the mode of action (estrogenicity) that is vital to fish reproductive health. Interlaboratory reproducibility data for VTG are also encouraging; recent comparisons (using the same immunoassay protocol) have provided coefficients of variation (CVs) of 38-55% (comparable to published CVs of 19-58% for fish survival and growth end points used in regulatory test guidelines). While concern over environmental xenoestrogens has led to the evaluation of reproductive biomarkers in fish, it must be remembered that many substances act via diverse mechanisms of action such that the environmental risk assessment for EDCs is a broad and complex issue. Also, biomarkers such as secondary sexual characteristics, gonadosomatic indices, plasma steroids, and gonadal histology have significant potential for guiding interspecies assessments of EDCs and designing fish chronic tests. To strengthen the utility of EDC biomarkers in fish, we need to establish a historical control database (also considering natural variability) to help differentiate between statistically detectable versus biologically significant responses. In conclusion, as research continues to develop a range of useful EDC biomarkers, environmental decision-making needs to move forward, and it is proposed that the "biomarkers as signposts" approach is a pragmatic way forward in the current risk assessment of EDCs.

Algorithms↗

Quantifying peptide signal in MALDI-TOF mass spectrometry data.

This study addressed the question of which properties in MALDI-TOF spectra are relevant to the task of identifying mass and abundance of a peptide species in human serum. Data of this type are common to biomarker studies, but significant within- and between-spectrum variabilities make quantifying biologically induced features difficult. We investigated this signal content and quantified the existence, or lack, of peptide-induced signal (as manifest in a multiresolution decomposition) by generating spectra from human serum in which the abundance of peptides of specific masses is controlled by a sequence of dilutions. The intensities of the corresponding features were directly proportional to peptide concentration. The primary goal was to exhibit some quantifiable properties of raw spectra from this application of MALDI-TOF mass spectrometry. Although no recommendations are given regarding the best method for processing these data, the results confirm the utility of a simple method, based on wavelets, for defining and quantifying features related to low abundance peptide species in a heterogeneous set of complex spectra. Estimates on lower limits of detectable peptide abundance (in the 20-nmol range) and on the number of features present in a spectrum are made possible by the controlled experimental design, the use of a large external reference data set, and dependence on relatively few modeling assumptions.

Animals↗

Discovery and identification of potential biomarkers in a prospective study of chronic lymphoid malignancies using SELDI-TOF-MS.

The accurate diagnosis of the different forms of chronic mature B-cell lymphocytic malignancies is of primary importance to determine an appropriate and efficient treatment. Usually, the diagnosis is achieved by morphology and immunophenotyping. Nevertheless, the diagnostic tools available are not able to discriminate pathologies with variable evolution, or to classify some of them. To discover new biomarkers, we used peptide and protein profiling SELDI-TOF-MS, to analyze 39 chronic B-cell malignancies and 20 control serum samples. Markers of interest were subsequently identified and characterized. In the obtained SELDI-MS profiles, most of the differences were observed in three mass ranges (m/z = 13 000; m/z = 9000; m/z < 2000). Identification of these biomarkers was achieved either by direct enrichment on the ProteinChip arrays followed by on-chip-MS/MS or by chromatographic fractionation, 1D-gel followed by nanoLC-MS/MS analysis. An increase of a sulfite form of transthyretin (13,841 Da) was observed in the patient group. A second set of markers at 8.6 and 8.9 kDa was identified as complement related fragment proteins, the C3a and C4a anaphylatoxins. In the low mass range, several peptides originating from N-terminal and C-terminal processing of the C3 alpha and C4 alpha chains were specifically observed in 38% of the patient sera, but in none of the control sera. This study emphasizes the usefulness of mass spectrometry studies in such malignancies.

Amino Acid Sequence↗

Compendium of gene expression profiles comprising a baseline model of the human liver drug metabolism transcriptome.

Oligonucleotide microarrays were used to study the variability of pharmacokinetics and drug metabolism (PKDM)-related gene expression in 75 normal human livers. The objective was to define and use absorption, distribution, metabolism and excretion (ADME) gene expression variability to discern co-regulated genes and potential surrogate biomarkers of inducible gene expression. RNA was prepared from donor tissue and hybridized on Agilent microarrays against an RNA mass balanced pool from all donors. Clustering of PKDM gene sets revealed donors with distinct patterns of gene expression that grouped genes known to be regulated by the nuclear receptor, pregnane X-receptor (PXR). Fold range metrics and frequency distributions from the heterogeneous human population were used to define the variability of individual PKDM genes in the 75 human livers and were placed in context by comparing expression data with basal ADME gene expression variability in an inbred and diet/environment controlled population of 27 Rhesus livers. The most variable genes in the hepatic transcriptome were mainly related to drug metabolism, intermediary metabolism, inflammation and cell cycle control. Unique patterns of expression across 75 individuals of inducible ADME gene expression allowed their expression to be correlated with the expression of many other genes. Correlated genes for AhR, CAR and PXR responsive genes (CYP1A2, CYP2B6 and CYP3A4) were identified that may be co-regulated and, therefore, provide clues to the identity of surrogate gene or protein markers for CYP induction. In conclusion, microarrays were used to define the variable expression of hepatic ADME genes in a diverse human population, the expression variability of ADME genes was compared with the expression variability in an inbred population of Rhesus monkeys, and genes were defined that may be co-regulated with important inducible CYP genes.

Animals↗

Mercapturic acids revisited as biomarkers of exposure to reactive chemicals in occupational toxicology: a minireview.

A minireview is presented concerning the use of mercapturic acids as biological exposure index for electrophilic chemicals. Besides pure analytical aspects, this minireview considers possible issues in relation to (a) the added value of mercapturic acids as compared to other well validated biomarkers of exposure and (b) the high inter-individual variability in mercapturic acids excretion. Recent field and/or experimental studies confirm the usefulness of mercapturic acids as biological exposure index for electrophilic chemicals and suggest the interest of a toxicogenetic approach for a better interpretation of the results of biological monitoring.

Acetylcysteine↗

Effect of statins on Alzheimer's disease biomarkers in cerebrospinal fluid.

BACKGROUND: Treatment with HMG-CoA reductase inhibitors ("statins") has been variably associated with a reduced risk of Alzheimer's disease (AD) in epidemiologic studies and reduced amyloid-beta (Abeta) deposition in animal models of AD. Putative neuroprotective effects of statins may vary in relation to their ability to penetrate into the central nervous system (CNS). METHODS: We measured levels of cerebrospinal fluid (CSF) AD biomarkers following 14 weeks of treatment with simvastatin (a CNS permeant statin; n=10) at 40 mg/day or pravastatin (a CNS impermeant statin; n=13) at 80 mg/day in hypercholesterolemic subjects without dementia. RESULTS: Simvastatin, but not pravastatin, reduced CSF levels of phospho-tau-181 (p-tau181) in all subjects. There were no differences in CSF levels of total tau, Abeta42, Abeta40, soluble amyloid beta protein precursor (sAbetaPP) alpha or beta, or F2-isoprostanes. CONCLUSIONS: Statins may modulate the phosphorylation of tau in humans and this effect may depend on the CNS availability of the statin. These results suggest another mechanism by which statins may act to reduce the risk of AD.

Adult↗

2D gel blood serum biomarkers reveal differential clinical proteomics of the neurodegenerative diseases.

This review addresses the challenges of neuroproteomics and recent progress in biomarkers and tests for neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease and amyotrophic lateral sclerosis. The review will discuss how the application of quantitative 2D gel electrophoresis, combined with appropriate single-variable and multivariate biostatistics, allows for selection of disease-specific serum biomarkers. It will also address how the use of large cohorts of specifically targeted patient blood serum samples and complimentary age-matched controls, in parallel with the use of selected panels of these biomarkers, are being applied to the development of blood tests to specifically address unmet pressing needs in the differential diagnosis of these diseases, and to provide potential avenues for mechanism-based drug targeting and treatment monitoring. While exploring recent findings in this area, the review discusses differences in critical pathways of immune/inflammation and amyloid formation between Parkinson's disease and amyotrophic lateral sclerosis, as well as discernable synergistic relationships between these pathways that are revealed by this approach. The potential for pathway measurement in blood tests for differential diagnosis, disease burden and therapeutic monitoring is also outlined.

Biomarkers↗

Tissue microarray study for classification of breast tumors.

Clinical and pathological heterogeneity of breast cancer hinders selection of appropriate treatment for individual cases. Molecular profiling at gene or protein levels may elucidate the biological variance of tumors and provide a new classification system that correlates better with biological, clinical and prognostic parameters. We studied the immunohistochemical profile of a panel of seven important biomarkers using tumor tissue arrays. The tumor samples were then classified with a monothetic (binary variables) clustering algorithm. Two distinct groups of tumors are characterized by the estrogen receptor (ER) status and tumor grade (p = 0.0026). Four biomarkers, c-erbB2, Cox-2, p53 and VEGF, were significantly overexpressed in tumors with the ER-negative (ER-) phenotype. Eight subsets of tumors were further identified according to the expression status of VEGF, c-erbB2 and p53. The malignant potential of the ER-/VEGF+ subgroup was associated with the strong correlations of Cox-2 and c-erbB2 with VEGF. Our results indicate that this molecular classification system, based on the statistical analysis of immunohistochemical profiling, is a useful approach for tumor grouping. Some of these subgroups have a relative genetic homogeneity that may allow further study of specific genetically-controlled metabolic pathways. This approach may hold great promise in rationalizing the application of different therapeutic strategies for different subgroups of breast tumors.

Algorithms↗

Antioxidant intervention studies related to DNA damage, DNA repair and gene expression.

In human cells oxidatively modified nucleobases can be measured in the DNA and strand breaks can be detected by the Comet assay, optionally with the use of repair enzymes introducing breaks at oxidized bases. Oxidized bases and nucleosides from DNA repair, the nucleotide pool and cell turnover can be measured in urine. The excretion rate represents the average rate of damage in the body, whereas the level of oxidized bases in DNA is a concentration measurement in the specific cells. The expression of genes relevant for the defence against oxidative DNA damage, antioxidant and DNA repair enzymes can be assessed at the mRNA, protein and activity level. Functional assays can involve susceptibility to, and disappearance of, damage induced ex vivo in lymphocytes. Vitamins C and E, beta-carotene, coenzyme Q as well as various vegetables, fruit and carotenoid rich products, have been assessed with biomarkers mainly including damage in lymphocytes DNA by Comet and chemical assays and urinary excretion of oxidized bases and nucleosides. The basal levels as well as the reported effects of the interventions have been rather variable, possibly reflecting differences in the populations, regimens, functional correlates of the biomarkers as well as between laboratories and assays. However, the data suggest that a depleted state due to nutritional deficiency and/or an increased oxidative stress might facilitate demonstration of protective effects of antioxidants with respect to DNA damage. The effect of antioxidants on gene expression has been little studied in humans and only at the activity and protein level.

Antioxidants↗

Associations of biomarkers, cognition and self-reports of sensory function with self-reported driving behaviour and confidence.

BACKGROUND: Older adults report self-regulating their driving habits but little is known about factors associated with driving habits and driving confidence. OBJECTIVE: We aimed to evaluate cognitive performance, biomarkers and self-reported sensory function as correlates of self-reported driving behaviour and confidence. METHODS: A volunteer sample of 153 drivers aged between 60 and 90 were assessed on biomarkers (vision, hearing, vibration sense, grip strength and FEV(1)), and cognitive performance. A subsample of 121 also completed a questionnaire on driving behaviour, driving confidence and self-reported sensory function. Structural equation modelling techniques were used to evaluate the relative importance of subjective and performance-based variables. RESULTS: Driving behaviour and confidence were associated with cognitive performance, biomarkers, chronological age and one question on self-rated hearing difficulty. Structural equation modelling showed that biomarkers were most important in predicting self- reported driving behaviour. CONCLUSION: These results suggest that individuals self-monitor according to their physiological well-being and report their driving behaviour accordingly.

Aged↗

Elevated Cerebrospinal Fluid Total Tau in Niemann-Pick Disease Type C1: Correlation With Clinical Severity and Response to Therapeutic Interventions.

Niemann-Pick disease, type C1 (NPC1) is an inborn error of intracellular cholesterol transport. Impaired function of NPC1 leads to endolysosomal accumulation of unesterified cholesterol, which results in progressive neurodegeneration. Although the age of onset is variable, classical NPC1 is a pediatric disease. Identification of biomarkers that correlate with clinical phenotype and respond to therapeutic interventions will be essential for developing effective therapeutic interventions. A&#x3b2; peptides and Tau protein are primary components of amyloid plaques and neurofibrillary tangles, respectively, which are major pathological features in neurodegenerative disorders. Cerebrospinal fluid (CSF) levels of total Tau, a biomarker of axonal damage, were elevated ~3-fold (p&#x2009;<&#x2009;0.0001) in 106 individuals with Niemann-Pick disease, type C1, relative to age-appropriate comparison samples. Baseline CSF total Tau levels correlated with clinical measures of disease severity. Specifically, CSF total Tau levels decreased with increased age of neurological onset (rs&#x2009;=&#x2009;-0.42, FDR adj. p&#x2009;<&#x2009;0.0001) and increased with increased Annual Severity Increment Score (rs&#x2009;=&#x2009;0.52, FDR adj. p&#x2009;<&#x2009;0.0001). Baseline CSF total Tau levels were decreased 40% (p&#x2009;=&#x2009;0.0066) in individuals being treated with miglustat, and longitudinal analysis substantiated this observation with a 40% decrease (p&#x2009;<&#x2009;0.0001, 95% CI 32%-47.4%). Longitudinal analysis also showed a significant (p&#x2009;=&#x2009;0.004) decrease of 19% (95% CI 7%-30%) in total Tau levels associated with intrathecal 2-hydroxypropyl-&#x3b2;-cyclodextrin therapy. These data show that CSF total Tau levels are significantly increased in individuals with NPC1, positively correlated with increased disease severity, and respond to therapeutic interventions.

Humans↗

Relationship between calcineurin inhibition and plasma endothelin concentrations in cyclosporine-A-treated kidney transplant patients.

OBJECTIVE: The inter-individual variability of cyclosporine (CsA) pharmacokinetics is well known. However, there is obviously also an inter-individual pharmacodynamic variability, which might be explored by the measurement of biomarkers of CsA effects. METHODS: In 11 renal transplant patients, blood CsA concentrations, calcineurin inhibition in peripheral blood mononuclear cells and endothelin plasma concentrations were measured over a 4-h period after CsA intake. RESULTS: Mean plasma endothelin concentrations were higher than those of healthy subjects (3.66+/-0.46 pg ml(-1) versus 3.15+/-0.40 pg ml(-1), P<0.01) but were not related to CsA dose or blood concentrations. There was a linear relationship between calcineurin inhibition at t (0) and mean endothelin concentrations (r (2)=0.51, P<0.05). Patients with gingival hypertrophy had higher mean endothelin concentrations than patients without this complication (4.0 pg ml(-1) versus 3.4 pg ml(-1), P<0.01), although CsA doses and concentrations were not different between these two groups. CONCLUSION: We observed a correlation between calcineurin inhibition and endothelin concentrations. Endothelin plasma concentrations is a biomarker of CsA effect, which may provide more information than CsA blood concentrations.

Adult↗

Statistical analysis of the experimental variation in the proteomic characterization of human plasma by two-dimensional difference gel electrophoresis.

The complexity of human plasma presents a number of challenges to the efficient and reproducible proteomic analysis of differential expression in response to disease. Before individual variation and disease-specific protein biomarkers can be identified from human plasma, the experimental variability inherent in the protein separation and detection techniques must be quantified. We report on the variation found in two-dimensional difference gel electrophoresis (2-D DIGE) analysis of human plasma. Eight aliquots of a human plasma sample were subjected to top-6 highest abundant protein depletion and were subsequently analyzed in triplicate for a total of 24 DIGE samples on 12 gels. Spot-wise standard deviation estimates indicated that fold changes greater than 2 can be detected with a manageable number of replicates in simple ANOVA experiments with human plasma. Mixed-effects statistical modeling quantified the effect of the dyes, and segregated the spot-wise variance into components of sample preparation, gel-to-gel differences, and random error. The gel-to-gel component was found to be the largest source of variation, followed by the sample preparation step. An improved protocol for the depletion of the top-6 high-abundance proteins is suggested, which, along with the use of statistical modeling and future improvements in gel quality and image processing, can further reduce the variation and increase the efficiency of 2-D DIGE proteomic analysis of human plasma.

Analysis of Variance↗

Multiple urinary peptides are associated with hypertension: a link to molecular pathophysiology.

OBJECTIVES: Hypertension is a common condition worldwide; however, its underlying mechanisms remain largely unknown. This study aimed to identify urinary peptides associated with hypertension to further explore the relevant molecular pathophysiology. METHODS: Peptidome data from 2876 individuals without end-organ damage were retrieved from the Human Urinary Proteome Database, belonging to general population (discovery) or type 2 diabetic (validation) cohorts. Participants were divided based on systolic blood pressure (SBP) and diastolic BP (DBP) into hypertensive (SBP &#x2265;140&#x200a;mmHg and/or DBP &#x2265;90&#x200a;mmHg) and normotensive (SBP <120&#x200a;mmHg and DBP <80&#x200a;mmHg, without antihypertensive treatment) groups. Differences in peptide abundance between the two groups were confirmed using an external cohort ( n &#x200a;=&#x200a;420) of participants without end-organ damage, matched for age, BMI, eGFR, sex, and the presence of diabetes. Furthermore, the association of the peptides with BP as a continuous variable was investigated. The findings were compared with peptide biomarkers of chronic diseases and bioinformatic analyses were conducted to highlight the underlying molecular mechanisms. RESULTS: Between hypertensive and normotensive individuals, 96 (mostly COL1A1 and COL3A1) peptides were found to be significantly different in both the discovery (adjusted) and validation (nominal significance) cohorts, with consistent regulation. Of these, 83 were consistently regulated in the matched cohort. A weak, yet significant, association between their abundance and standardized BP was also observed. CONCLUSION: Hypertension is associated with an altered urinary peptide profile with evident differential regulation of collagen-derived peptides. Peptides related to vascular calcification and sodium regulation were also affected. Whether these modifications reflect the pathophysiology of hypertension and/or early subclinical organ damage requires further investigation.

Humans↗

Peripheral proteasome and caspase activity in Parkinson disease and Alzheimer disease.

BACKGROUND: Defects of the ubiquitin-proteasome (UP) system, a multicatalytic complex degrading polyubiquitinated proteins, may intervene in the pathogenesis of neurodegenerative disorders characterized by intracellular formation of protein aggregates such as Parkinson disease (PD) and Alzheimer disease (AD) by inducing proapoptotic conditions. METHODS: The authors measured the activity of proteolytic UP core, proteasome 20S, and of proapoptotic caspase-3 and -9 in peripheral blood lymphocytes (PBLs) of PD and AD patients to establish whether changes in these systems are detectable peripherally. RESULTS: Proteasome 20S activity was reduced in PBLs of treated PD patients vs healthy controls (mean +/- SEM: 1.0 +/- 0.1 vs 2.3 +/- 0.2 nmol 7-amino-4-methylcoumarin (AMC)/10(6) cells, p < 0.001), whereas marked increases in caspase-3 activity (1370 +/- 153 vs 586 +/- 104 pmol AMC/10(6) cells, p < 0.001) and caspase-9 activity (873 +/- 86 vs 304 +/- 27 U/10(6) cells, p < 0.001) were found. Increased caspase-9 activity was also detected in PBLs of untreated PD patients (900 +/- 193 U/10(6) cells). PD duration and severity (Unified Parkinson's Disease Rating Scale score) were inversely correlated with proteasome 20S activity and directly correlated with caspase-3 activity. An inverse correlation was also observed in PD patients between caspase-3 activity and proteasome 20S activity. No significant changes in proteasome 20S or caspase activity or correlations between biochemical and clinical variables were found in patients with AD. CONCLUSIONS: A decrease in proteasome activity, possibly related to caspase activation, is detectable in peripheral blood lymphocytes of patients with Parkinson disease but not patients with Alzheimer disease, suggesting that these variables may be considered for the development of peripheral biomarkers of Parkinson disease.

Aged↗

Reproductive and developmental effects of disinfection by-products in drinking water.

Recent epidemiologic studies have reported associations between the consumption of chlorinated drinking water and reproductive and developmental effects. Here we review the available epidemiologic data, assess the hazard potential posed by exposure to disinfection by-products, identify critical data gaps, and offer recommendations for further research. The epidemiologic evidence supporting associations between exposure to water disinfection by-products (DBPs) and adverse pregnancy outcomes is sparse, and positive findings should be interpreted cautiously. The methods used during the early stages of research in this area have been diverse. Variability in exposure assessment and endpoints makes it difficult to synthesize or combine the available data. Exposure misclassification and unmeasured confounding may have lead to bias in risk estimation. Future studies of reproductive outcome and exposure to chlorinated water should use improved methods for exposure assessment to 1) assure selection of appropriate exposure markers, 2) assess seasonal and annual fluctuations in DBPs, 3) assess variability within the distribution system, and 4) assess exposure through multiple routes such as bathing and showering, as well as consumption. Population-based studies should be conducted to evaluate male and female fertility, conception delay, growth retardation, and specific birth defects. The reproductive and developmental effects of exposure to DBPs could be efficiently explored in ongoing investigations by incorporating valid exposure markers and relevant questionnaire information. Future studies should make use of naturally occurring variability in the concentrations of DBPs and may incorporate biomarkers of exposure and effect in their design. Epidemiologic investigations should be conducted in parallel with laboratory-based and animal studies in a coordinated, multidisciplinary approach.

Abnormalities, Drug-Induced↗

Biological monitoring of workers exposed to emissions from petroleum plants.

This paper presents some of the results from the Commission of the European Communities collaborative research program (contract number EV5V-CT92-0221), whose aim is to investigate the relationship between exposure to petroleum emissions, benzene, and induction of genetic damage in human cells. Twenty-four workers from petroleum plants in Poland and 35 unexposed controls were examined for cytogenetic effects and ras oncoprotein levels and their relationship to confounding factors (e.g., smoking habit, sex family cancer history, and seasonal influence). Preliminary data of chromosome aberrations (CA) and sister chromatid exchanges (SCE) showed differences among sampling subgroups. In this present study, the levels of ras p21 proteins were determined and further analyses of CA, SCE, high frequency cells (HFC), and proliferative rate index (PRI) have been undertaken. Results show that the exposed group has statistically significant increases in CA, and percent of aberrant cells. There were no differences between exposed and unexposed groups in SCE, HFC, PRI, or the levels of ras p21 proteins. Smoking was found to statistically significantly affect levels of CA, percent of aberrant cells, SCE, HFC, and ras proteins. Sister chromatid exchanges were also statistically significantly sex dependent (7.5 breaks/cells for females and 6.8 breaks/cell for males). There were no statistically significant differences for CA, percent aberrant cells, SCE, HFC, or ras p21 protein levels in subgroups characterized according to cancer cases reported in the immediate family. A seasonal variability was shown with statistically significant increases in various biomarkers in the winter. Unexposed groups also showed increases due to smoking and season. The nonsmoking group individuals also showed statistically significant increases in cytogenetic damage with exposure.

Adult↗

Identifiability of food components for cancer chemoprevention.

Epidemiological studies have consistently reported a reduction in risk for several cancer sites in relation to high consumption of vegetables and fruit. These findings stimulated further research aimed at identifying which compounds in fruit and vegetables are responsible for the reduction in cancer risk. Epidemiological and laboratory studies suggested that some micronutrients, particularly vitamin C, vitamin E, beta-carotene, selenium, magnesium and zinc, could reduce the risk of cancers of the oral cavity, lung, oesophagus and stomach, while dietary fibre was more specifically related to a reduced risk of colorectal cancer. However, the results of large randomized trials on various combinations of vitamins and minerals at supranutritional doses have so far failed to confirm this hypothesis or have found very weak effects. These results should stimulate profound re-thinking of the methods that led to the selection of specific molecules with potential chemopreventive action. From a methodological point of view, little attention has so far been given to four main limitations of nutritional epidemiology, which have direct bearing on the extrapolation of results from foods to food components. Measurements of micronutrient intakes through simple dietary questionnaires and current food composition tables lack precision and specificity. Micronutrient intakes are often highly correlated in nature because micronutrients tend to share the same food sources. Attribution of cancer risk to a single food constituent can be misleading if multicollinearity of dietary variables is not recognized. The etiological meaning of nutritional biomarkers is not straightforward because circulating levels of nutrients reflect not only dietary intake but also complex metabolic regulations. Studies have not considered the physical characteristics of foods, which are important determinants of physiological responses. Understanding the multidimensional nature of diet and of its relationship with different cancers is a major scientific challenge. Epidemiological studies combining detailed dietary questionnaires, appropriate food composition tables, multiple biomarkers, and appropriate statistical methods may provide better measurements of the relationships between cancer risk and specific dietary patterns and therefore contribute to the identification of food components with hitherto unforeseen potential interest for cancer prevention.

Anticarcinogenic Agents↗