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A histomorphometric comparison of the effects of heparin and low-molecular-weight heparin on cancellous bone in rats.

Long-term heparin treatment causes osteoporosis through, an as yet, undefined mechanism. To investigate this phenomenon and to determine the relative benefits of low-molecular-weight heparin (LMWH) use, we treated rats with once daily subcutaneous injections of either unfractionated heparin (1.0 U/g or 0.5 U/g), the LMWH, Tinzaparin (1.0 U/g or 0.5 U/g), or placebo (saline) for a period of 32 days. The effects on bone were then compared both histomorphometrically and biochemically by measuring urinary type I collagen cross-linked pyridinoline (PYD) and serum alkaline phosphatase, markers of bone resorption and formation, respectively. Histomorphometric analysis of the distal third of the right femur, in the region proximal to the epiphyseal growth plate, demonstrated that both heparin and LMWH decrease cancellous bone volume in a dose-dependent fashion, but that heparin causes significantly more cancellous bone loss than does LMWH. Although both heparin and LMWH decrease osteoblast and osteoid surface to a similar extent, only heparin increases osteoclast surface. In support of these histomorphometric findings, biochemical markers of bone turnover demonstrated that both heparin and LMWH treatment produce a dose-dependent decrease in serum alkaline phosphatase, consistent with reduced bone formation, whereas only heparin causes a transient increase in urinary PYD, consistent with an increase in bone resorption. Based on these observations, we conclude that heparin decreases cancellous bone volume both by decreasing the rate of bone formation and increasing the rate of bone resorption. In contrast, LMWH, causes less osteopenia than heparin because it only decreases the rate of bone formation.

Alkaline Phosphatase↗

Bone formation and resorption biological markers in cosmonauts during and after a 180-day space flight (Euromir 95).

Long-term spaceflights induce bone loss as a result of profound modifications of bone remodeling, the modalities of which remain unknown in humans. We measured intact parathyroid hormone (PTH) and serum calcium; for bone formation, serum concentrations of bone alkaline phosphatase (BAP), intact osteocalcin (iBGP), and type 1 procollagen propeptide (PICP); for resorption, urinary concentrations (normalized by creatinine) of procollagen C-telopeptide (CTX), free and bound deoxypyridinoline (F and B D-Pyr), and Pyr in a 36-year-old cosmonaut (RTO), before (days -180, -60, and -15), during (from days 10 to 178, n = 12), and after (days +7, +15, +25, and +90) a 180-day spaceflight, in another cosmonaut (ASW) before and after the flight. Flight PTH tended to decrease by 48% and postflight PTH increased by 98%. During the flight, BAP, iBGP, and PICP decreased by 27%, 38%, and 28% respectively in CM1, and increased by 54%, 35%, and 78% after the flight. F D-Pyr and CTX increased by 54% and 78% during the flight and decreased by 29% and 40% after the flight, respectively. We showed for the first time in humans that microgravity induced an uncoupling of bone remodeling between formation and resorption that could account for bone loss.

Adult↗

Diesel exhaust in the occupational setting. Current understanding of pulmonary health effects.

Doll's landmark 1959 study of the epidemiology of occupational lung cancer failed to find an increased risk in workers exposed to petrol fumes and emissions. In it, he pointed out a critical issue that is not resolved today. With theoretically increased risk based on biological plausibility but an absence of positive findings, epidemiologic methodology cannot reliably distinguish between no risk and very little risk. Despite the ensuing nearly 40 years of research, neither human epidemiologic studies nor animal studies can support a causal relationship between either lung cancer or noncancer respiratory health effects at current levels of occupational exposure. Even with statistically significant but low relative risks, neither evidence of causality nor level of risk can be definitively established. Epidemiologic data suggest that an increased risk of lung cancer for diesel exhaust exposed workers may be comparable with that for environmental tobacco smoke. Monitoring and control of the particulate is necessary. Prudent policy dictates continued efforts to reduce emissions of soot from diesel engines and decrease occupational exposure as a matter of good health and safety practice. Improvements in engine design, soot filters, and fuel modification will provide the best approach to exposure control. Further research is also needed in the areas of carcinogenic mechanisms and development and validation of biomarkers of exposure before reliable estimates of risk of human health effects in the occupational setting can be made.

Air Pollution↗

Earthworm cytochrome P450 determination and application as a biomarker for diagnosing PAH exposure.

We developed a new microsome purification method and used the Omura and Sato method to measure the total content of cytochrome (Cyt) P450 in earthworm (Eisenia fetida) microsomes. In method development, two different pretreatments, i.e. solubilization or manual separation were used to purify worm microsomes. Solubilization was more effective than manual separation and difference spectra showed a peak at 450 +/- 1 nm in microsomes received solubilization pretreatment. We conducted a 48 h contact test by exposing worms on pyrene (Py) and benzo[a]pyrene (BaP) spiked filter paper. A dose-response relationship was established between total P450 content and the concentration of Py or BaP ranging from 10(-6) mg mL(-1) to 10(-2) mg mL(-1). Results show that total Cyt P450 content in earthworms is a promising biomarker for diagnosing PAHs exposure at sublethal dose ranges.

Animals↗

Glial fibrillary acidic protein and related glial proteins as biomarkers of neurotoxicity.

A variety of '-omic' technologies are being increasingly applied in preclinical safety assessments. Such approaches, however, have not been implemented in neurotoxicity safety evaluations. Current regulatory guidelines for assessing neurotoxicity emphasise reliance on traditional histopathological stains and behavioural testing batteries. Although these methods may be sufficient to detect some neurotoxic effects, they lack both the sensitivity and specificity required for broad-scale neurotoxicity screening. The glial reaction to nervous system damage, often termed gliosis, represents a hallmark of all types of nervous system injury. As such, the development and implementation of gliosis biomarkers represents a broadly applicable approach for neurotoxicity safety assessment. Using a panel of known neurotoxic agents, the authors have shown that the astroglial protein, glial fibrillary acidic protein (GFAP), can serve as one such biomarker of neurotoxicity. Qualitative and quantitative analysis of GFAP has shown this biomarker to be a sensitive and specific indicator of the neurotoxic condition. The implementation of GFAP and related glial biomarkers in neurotoxicity screens may serve as the basis for further development of molecular signatures predictive of adverse effects on the nervous system.

Biomarkers↗

Challenges for biomarkers in cancer detection.

Cancer remains the leading cause of death in the United States. Biomarkers can be used to detect cancer in different stages, initiation, development, and progression. The desirable property and utility of a biomarker lie in its ability to provide an early indication of disease progression. Biomarkers should be easy to detect, measurable across populations, and useful for detection of cancer at an early stage, identification of high-risk individuals, detection of recurrence, or monitoring endpoints in intervention studies. Recent technological advances have helped develop noninvasive, sensitive, and specific biomarkers to detect cancer at early stages of the disease.

Biomarkers, Tumor↗

Clinical biomarkers of cardiac injury: cardiac troponins and natriuretic peptides.

Laboratory and clinical medicine groups are actively collaborating and optimizing their individual expertise to potentially prove standardized biomarker assays that will optimize patient care. It is critical as new biomarkers are discovered, that quality specifications be developed prior to approval by regulatory agencies that give supported endorsement for the worldwide marketplace. The laboratory medicine and clinical communities of scientists continues to challenge the biomarker field, working towards developing standard reference materials, and providing quality analytical specifications that, hopefully, will be endorsed by our clinical, in vitro diagnostic and pharmaceutical industry colleagues. This paper will specifically address cardiac troponins and natriuretic peptides.

Biomarkers↗

Development of a cluster of differentiation antibody-based protein microarray.

Protein microarrays combine aspects of DNA microarrays and ELISA for the parallel interrogation of a biological sample using a multiplex of protein biomarkers. Here we report the development of a protein microarray consisting of a subset of CD antibodies and CRP. Several preparations (culture supernatant, ascites fluid and purified Ig) of each antibody were used in a forward phase protein microarray. Microarrays were fabricated using a non-contact printer delivering 300 pL (+/-30 pL) to specific locations on polyacrylamide gel-based substrates. Following production, microarrays were blocked for non-specific binding and incubated with sera conjugated directly with Cy3. Using CRP as a control biomarker, 12 clinical samples (inflammatory conditions and controls) were interrogated using the protein microarray format and results compared to CRP measured by conventional immunoassay. The data obtained from the microarray correlated with CRP assessed by immunoassay. Subsequently CRP 'positive' samples were interrogated for CD antigen expression; which revealed CD25 and CD45RO expression in all samples. Whilst this study focussed on a subset of CD antibodies, it is anticipated that this array could be expanded to include a larger number of CD antibodies and allow screening of sera from multiple conditions in order to identify disease markers.

Antibodies↗

Biomarker risk assessment and bladder cancer detection in a cohort exposed to benzidine.

BACKGROUND: Cancer screening with highly sensitive, specific biomarkers that reflect molecular phenotypic alterations is an attractive strategy for cancer control. We examined whether biomarker profiles could be used for risk assessment and cancer detection in a cohort of Chinese workers occupationally exposed to benzidine and at risk for bladder cancer. METHODS: The cohort consisted of 1788 exposed and 373 nonexposed workers, followed from 1991 through 1997. We assayed urothelial cells from voided urine samples for DNA ploidy (expressed as the 5C-exceeding rate [DNA 5CER]), the bladder tumor-associated antigen p300, and a cytoskeletal protein (G-actin). Workers were stratified into different risk groups (high, moderate, and low risk) at each examination based on a predefined biomarker profile. For workers who developed bladder cancer, tumor risk assessment was analyzed from samples collected 6-12 months before the cancer diagnosis. The associations between risk group and subsequent development of bladder cancer were analyzed by Cox proportional hazards regression analysis and logistic analysis, after adjustment. All statistical tests were two-sided. RESULTS: Twenty-eight bladder cancers were diagnosed in exposed workers and two in nonexposed workers. For risk assessment, DNA 5CER had 87.5% sensitivity, 86.5% specificity, an odds ratio (OR) of 46.2 (95% confidence interval [CI] = 8.1 to 867.0), and a risk ratio (RR) of 16.2 (95% CI = 7.1 to 37.0); p300 had 50.0% sensitivity, 97.9% specificity, an OR of 40.0 (95% CI = 9.0 to 177.8), and an RR of 37.9 (95% CI = 16.8 to 85.3). The risk of developing bladder cancer was 19.6 (95% CI = 8.0 to 47.9) times higher in workers positive for either the DNA 5CER or p300 biomarkers than in workers negative for both biomarkers and 81.4 (95% CI = 33.3 to 199.3) times higher in workers positive for both biomarkers. G-actin was a poor marker of individual risk. CONCLUSIONS: Occupationally exposed workers at risk for bladder cancer can be individually stratified, screened, monitored, and diagnosed based on predefined molecular biomarker profiles.

Actins↗

Biomarkers in epidemiology.

A biomarker is a measurable event occurring in a biological system, such as the human body. In environmental epidemiology, a biomarker represents a subclinical and reversible change; it is not a diagnostic test, but an indicator that an early change has occurred that could later lead to clinical disease. Although some biomarkers may belong to more than one class, they are often separated into biomarkers of exposure, biomarkers of effect, and biomarkers of susceptibility. Biomarkers can be used to classify and quantify environmental exposures and their related effects, and many methods may be applicable in toxicological experiments as well as in epidemiology. Accordingly, biomarker epidemiology is undergoing rapid development and expansion and is becoming one of the most promising areas of environmental research. Although expanded applications should be encouraged, many biomarkers are poorly characterized, and attention should be paid to defining their properties in detail.

Biomarkers↗

Monitoring of aflatoxin exposure by biomarkers.

Epidemiological studies have demonstrated a strong association between exposure to AFB1 and an increased incidence of human hepatocellular carcinoma (HCC). This association has led to a need for accurate techniques relating AF exposure to an individual's risk of developing disease. With the understanding of the progressive processes of carcinogenesis, opportunities for the identification of molecular biomarkers reflecting events from exposure through clinical disease are provided. However, the development of biomarker methods to monitor human exposure to AFs requires techniques which are sensitive, specific, and amenable to large numbers of samples. To better understand the role of AF exposure with respect to HCC incidence, immunoassays for the biological quantitation of free AFB1, its metabolites, and its adduct macromolecules have been developed. ELISA appears to offer a suitable method for use in epidemiological studies for monitoring short-term exposure to AFs, as it has the appropriate sensitivity and specificity. However, the presence of substances that are presumably not AFs and which are inhibitory in the ELISA system has necessitated the development of purification techniques, usually based on adsorption onto Sep-Pak C18 cartridges and immunoaffinity chromatography. Many protocols have been developed for the assay of soluble AF metabolites in urine, milk and blood. However, these assays only indicate recent exposure, whereas the presence of albumin-AFB1 adducts in peripheral blood could present a useful material for assessing longer-term exposure. Among the various possible biomarkers of AF exposure, the measurements of AF-DNA and -protein adducts are of major interest because they are direct products of damage to a critical cellular macromolecular target. In Thailand, AF contamination of foods was reported to be high. More recent data using biomarkers as measures of AF exposure will be discussed. The data from epidemiological studies, AF exposure assessment using AF-albumin adduct and urinary AF level as exposure markers as well as the prevalence of p53 mutation at codon 249 are all suggestive of a limited importance of AF in the etiology of HCC in this country compared to other areas, including parts of Africa and China. These results also indicate that research on other potential hepatocarcinogens should not be neglected.

Aflatoxin B1↗

New molecular approaches for identifying novel targets, mechanisms, and biomarkers for prostate cancer chemopreventive agents.

Recently developed complementary DNA (cDNA) microarray technology allows simultaneous assessment of expression on many hundreds or thousands of genes simultaneously. This technology holds great promise for providing new insights into prostate carcinogenesis that will reveal new targets for preventive intervention strategies. In addition, this technology will deepen understanding of the means by which putative preventive compounds exert their effects, generating molecular genetic biomarkers of treatment efficacy. Several putative preventive agents are currently under investigation, and development of novel preventive strategies poses significant challenges. High throughput approaches, such as cDNA microarrays, will speed discovery and progress in prostate cancer chemoprevention.

Anticarcinogenic Agents↗

Role of metabolism and viruses in aflatoxin-induced liver cancer.

The use of biomarkers in molecular epidemiology studies for identifying stages in the progression of development of the health effects of environmental agents has the potential for providing important information for critical regulatory, clinical and public health problems. Investigations of aflatoxins probably represent one of the most extensive data sets in the field and this work may serve as a template for future studies of other environmental agents. The aflatoxins are naturally occurring mycotoxins found on foods such as corn, peanuts, various other nuts and cottonseed and they have been demonstrated to be carcinogenic in many experimental models. As a result of nearly 30 years of study, experimental data and epidemiological studies in human populations, aflatoxin B(1) was classified as carcinogenic to humans by the International Agency for Research on Cancer. The long-term goal of the research described herein is the application of biomarkers to the development of preventative interventions for use in human populations at high-risk for cancer. Several of the aflatoxin-specific biomarkers have been validated in epidemiological studies and are now being used as intermediate biomarkers in prevention studies. The development of these aflatoxin biomarkers has been based upon the knowledge of the biochemistry and toxicology of aflatoxins gleaned from both experimental and human studies. These biomarkers have subsequently been utilized in experimental models to provide data on the modulation of these markers under different situations of disease risk. This systematic approach provides encouragement for preventive interventions and should serve as a template for the development, validation and application of other chemical-specific biomarkers to cancer or other chronic diseases.

Aflatoxins↗

Gene expression profiling of human colon xenograft tumors following treatment with SU11248, a multitargeted tyrosine kinase inhibitor.

Biomarkers that indicate biological activity and/or efficacy are a potentially useful tool in the development of molecularly targeted therapeutics. It is useful, though challenging, to identify biomarkers during preclinical development in order to impact decision-making during early clinical development. SU11248 is an oral, selective multitargeted tyrosine kinase inhibitor currently in Phase II oncology clinical trials. It exhibits direct antitumor and antiangiogenic activity via inhibition of the receptor tyrosine kinases PDGFR, VEGFR, KIT and FLT3. To identify clinically translatable biomarkers of SU11248 activity, expression profiling was performed on Colo205 human xenograft tumors following treatment with SU11248. Over 100 transcripts changed in abundance in SU11248 as compared to vehicle-treated tumors. Nine candidate transcripts, chosen based on putative function, were also analysed and validated by TaqMan. One such potential biomarker, cadherin-11, was further evaluated at the protein level and was found to have increased expression in xenograft tumors after SU11248 treatment. Interestingly, cadherin-11 expression was also detected via immunohistochemical analysis of archived solid tumors, indicating the technical feasibility of translating this putative biomarker to clinical studies. Importantly, SU11248 treatment also resulted in increased expression of cadherin-11 protein in human tumor biopsies in three out of seven patients examined and confirms the feasibility of using transcriptional profiling of preclinical models to identify clinically translatable biomarkers.

Animals↗

DNA methylation biomarkers of cancer: moving toward clinical application.

While different markers for cancer diagnosis have been known for at least a decade, the systematic search for biomarkers emerged only several years ago. In this article, I will concentrate on DNA methylation as a dynamic and robust platform for the development of cancer-specific biomarkers. Simultaneous analysis of a growing number of independent methylation events can create increasingly more precise and individualized diagnostics. The differential detection of methylated and unmethylated DNA can be accomplished through either chemical modification or digestion with methylation-sensitive restriction enzyme(s). The benefits and potential pitfalls of both these approaches for clinical sample analysis will be addressed.

Biomarkers, Tumor↗

Novel approaches and applications in identifying DNA methylation markers of cardio-kidney-metabolic disease.

Cardio-kidney-metabolic (CKM) diseases represent a major public health challenge, accounting for a large proportion of global burden of morbidity and mortality. These conditions share risk factors, including genetic predisposition, environmental exposures, and lifestyle influences, which collectively drive disease development and progression. Epigenetic modifications, particularly DNA methylation (DNAm), serve as key mediators and biomarkers between these risk factors and disease phenotypes by regulating gene expression without altering the DNA sequence. Epigenome-wide association studies have identified DNAm markers associated with CKM diseases and related phenotypes, highlighting both shared pathways and disease-specific epigenetic signatures in inflammation, metabolic dysfunction, and aging-related processes. Longitudinal studies further demonstrate the dynamic nature of DNAm changes over time, offering insights into disease trajectories. Additionally, methylation risk scores integrating multiple epigenetic markers show promise in improving disease prediction and risk stratification beyond traditional clinical factors. To synthesize the current evidence, we conducted a targeted literature search in PubMed for English-language, peer-reviewed articles published between 2014 and the present. Future research leveraging large, well-phenotyped cohorts, advanced statistical methods, and innovative study designs will be critical for uncovering novel biomarkers, refining risk prediction models, and developing targeted epigenetic therapies to mitigate the global burden.

Humans↗

Mass spectrometry-based clinical proteomics.

In recent years, mass spectrometry (MS) has been recognized as a 'Gold Standard' tool for the identification and analysis of individual proteins in expression proteomics studies. Moreover, MS has proven useful for the analysis of nucleic acids for single nucleotide polymorphism (SNP) genotyping purposes. With the increased usage of MS as a standard tool for life science applications and the advancement of MS instrumentation, sample preparation and bioinformatics, MS technology has entered novel screening and discovery application areas that are beyond the traditional protein identification and characterization applications. The areas of clinical diagnostics and predictive medicine are just two prime examples of these fields. Predictive markers or biomarkers for early diagnosis of diseases are of growing importance for the human healthcare community. The goal of using MS in clinical proteomics is to generate protein profiles (mass to charge [m/z] ratio versus signal intensity) from readily available body fluids like serum, saliva and urine to detect changes in protein levels that reflect changes in the disease states. Whereas the results originating from individual protein markers may be intriguing, data resulting from the analysis of complex, multiple biomarker patterns may be unequivocal. These biomarker patterns are hidden in complex mass spectra and are not always obvious to the human eye. Sophisticated bioinformatics algorithms have to be applied to determine these unique biomarker patterns. Here, we review the latest developments concerning the use of MS for the discovery of biomarker patterns and for the identification of individual biomarkers in the field of clinical proteomics applications.

Biomarkers↗