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PubMed2006

Evaluation of apolipoprotein A1 and posttranslationally modified forms of transthyretin as biomarkers for ovarian cancer detection in an independent study population.

BACKGROUND: Although overall 5-year survival rates for ovarian cancer are poor (10-30%), stage I/IIa patients have a 95% 5-year survival. New biomarkers that improve the diagnostic performance of existing tumor markers are critically needed. A previous study by Zhang et al. reported identification and validation of three biomarkers using proteomic profiling that together improved early-stage ovarian cancer detection. METHODS: To evaluate these markers in an independent study population, postdiagnostic/pretreatment serum samples were collected from women hospitalized at the Mayo Clinic from 1980 to 1989 as part of the National Cancer Institute Immunodiagnostic Serum Bank. Sera from 42 women with ovarian cancer, 65 with benign tumors, and 76 with digestive diseases were included in this study. Levels of various posttranslationally forms of transthyretin and apolipoprotein A1 were measured in addition to CA125. RESULTS: Mean levels of five of the six forms of transthyretin were significantly lower in cases than in controls. The specificity of a model including transthyretin and apolipoprotein A1 alone was high [96.5%; 95% confidence interval (95% CI), 91.9-98.8%] but sensitivity was low (52.4%; 95% CI, 36.4-68.0%). A class prediction algorithm using all seven markers, CA125, and age maintained high specificity (94.3%; 95% CI, 89.1-97.5%) but had higher sensitivity (78.6%; 95% CI, 63.2-89.7%). CONCLUSIONS: We were able to replicate the findings reported by Zhang et al. in an independently conducted blinded study. These results provide some evidence that including age of patient and these markers in a model may improve specificity, especially when CA125 levels are >/=35 units/mL. Influences of sample handling, subject characteristics, and other covariates on biomarker levels require further consideration in discovery and replication or validation studies.

Adolescent↗
PubMedDate not supplied

Effects of feeding and body weight loss on the 1H-NMR-based urine metabolic profiles of male Wistar Han rats: implications for biomarker discovery.

For almost two decades, 1H-NMR spectroscopy has been used as an 'open' system to study the temporal changes in the biochemical composition of biofluids, including urine, in response to adverse toxic events. Many of these in vivo studies have reported changes in individual metabolites and patterns of metabolites that correlated with toxicological changes. However, many of the proposed novel biomarkers are common to a number of different types of toxicity. These may therefore reflect non-specific effects of toxicity, such as weight loss, rather than a specific pathology. A study was carried out to investigate the non-specific effects on urinary metabolite profiles by administering four hepatotoxic compounds, as a single dose, to rats at two dose levels: hydrazine hydrate (0.06 or 0.08 g kg (1)), 1,2-dimethylhydrazine (0.1 or 0.3 g kg (-1)), alpha-napthylisothiocyanate (0.1 or 0.15 g kg(-1)) and carbon tetrachloride (1.58 or 3.16 g kg(-1)). The study included weight-matched control animals along with those that were dosed, which were then 'pair-fed' with the treated animals so they achieved a similar weight loss. The urinary metabolite profiles were investigated over time using 1H-NMR spectroscopy and compared with the pathology from the same animals. The temporal changes were analysed statistically using multivariate statistical data analysis including principal component analysis, partial least squares, parallel factor analysis and Fisher's criteria. A number of metabolites associated with energy metabolism or which are partially dietary in origin, such as creatine, creatinine, tricarboxylic acid (TCA) cycle intermediates, phenylacetylglycine, fumarate, glucose, taurine, fatty acids and N-methylnicotinamide, showed altered levels in the urine of treated and pair-fed animals. Many of these changes correlated well with weight loss. Interestingly, there was no increase in ketone bodies (acetate and beta-hydroxybutyrate), which might be expected if energy metabolism was switched from glycolysis to fatty acid beta-oxidation. In some instances, the metabolites that changed were considered to be non-specific markers of toxicity, but were also identified as markers of a specific type of toxicity. For example, taurine was raised significantly in carbon tetrachloride-treated animals but reduced in the pair-fed group. However, raised urinary bile acid levels were only seen after alpha-napthylisothiocyanate treatment. The methodology, statistical analysis used and the data generated will help improve the identification of specific markers or patterns of urinary markers of specific toxic effects.

1,2-Dimethylhydrazine↗
PubMed2006

Profiling of glycans in serum for the discovery of potential biomarkers for ovarian cancer.

A glycomic approach is developed to identify oligosaccharide markers for ovarian cancer by rapidly profiling globally released oligosaccharides. Glycoproteins shed by cancer cells are found in the supernatant (or conditioned media) of cultured cells. In this approach, shed glycoproteins are profiled for their oligosaccharide content using beta-elimination conditions. Changes in glycosylation are monitored by matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry (MALDI-FTICR-MS). Because shed glycoproteins would also be found in serum, similar glycan profiling was performed to observe potential oligosaccharide markers. Oligosaccharide profiling data on a limited set of patient and normal serum samples were studied to determine potential glycan markers in ovarian cancer. We were able to demonstrate the presence of at least 15 unique serum glycan markers in all patients but absent in normal individuals. To determine the structure of the glycan biomarkers, a number of the ions were isolated and further analyzed using infrared multiphoton dissociation (IRMPD). One major advantage of this approach is that glycans are examined directly from patient sera without the need to obtain cancer biopsy specimens or to purify glycosylated proteins from these specimens.

Biomarkers, Tumor↗
PubMed2005

Gene expression profile of cervical tissue compared to exfoliated cells: impact on biomarker discovery.

BACKGROUND: Exfoliated cervical cells are used in cytology-based cancer screening and may also be a source for molecular biomarkers indicative of neoplastic changes in the underlying tissue. However, because of keratinization and terminal differentiation it is not clear that these cells have an mRNA profile representative of cervical tissue, and that the profile can distinguish the lesions targeted for early detection. RESULTS: We used whole genome microarrays (25,353 unique genes) to compare the transcription profiles from seven samples of normal exfoliated cells and one cervical tissue. We detected 10,158 genes in exfoliated cells, 14,544 in the tissue and 7320 genes in both samples. For both sample types the genes grouped into the same major gene ontology (GO) categories in the same order, with exfoliated cells, having on average 20% fewer genes in each category. We also compared microarray results of samples from women with cervical intraepithelial neoplasia grade 3 (CIN3, n = 15) to those from age and race matched women without significant abnormalities (CIN1, CIN0; n = 15). We used three microarray-adapted statistical packages to identify differential gene expression. The six genes identified in common were two to four fold upregulated in CIN3 samples. One of these genes, the ubiquitin-conjugating enzyme E2 variant 1, participates in the degradation of p53 through interaction with the oncogenic HPV E6 protein. CONCLUSION: The findings encourage further exploration of gene expression using exfoliated cells to identify and validate applicable biomarkers. We conclude that the gene expression profile of exfoliated cervical cells partially represents that of tissue and is complex enough to provide potential differentiation between disease and non-disease.

Biomarkers↗
PubMed2026

Adjuvant CDK4/6 inhibitors in early-stage breast cancer: Clinical evidence and considerations for risk stratification and treatment selection.

Hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer is the most common biologic subtype and carries a persistent risk of recurrence, particularly in patients with high-risk, early-stage disease. Cyclin-dependent kinase 4 and 6 inhibitors, initially established as a standard component of first-line therapy in the metastatic setting based on improvements in progression-free and overall survival, have since been evaluated in the adjuvant setting. While adjuvant palbociclib did not improve invasive disease-free survival, the monarchE and NATALEE trials demonstrated that abemaciclib and ribociclib, respectively, reduce recurrence risk in patients with high-risk, early-stage disease, with emerging overall survival data further supporting their use. However, the absolute magnitude of benefit varies substantially with baseline risk, and treatment-related toxicity and adherence challenges must be considered, as approximately 20% to 25% of patients discontinue therapy before completion. The integration of these agents into clinical practice also intersects with ongoing efforts to deescalate axillary surgery, as treatment eligibility has been largely defined by anatomic staging, particularly nodal status. Available data suggest that the incremental impact of axillary surgery on identifying candidates for cyclin-dependent kinase 4 and 6 inhibition is modest, especially among the favorable-risk populations now eligible for surgical deescalation. As the field evolves, advances in molecular risk stratification, genomic profiling, and dynamic biomarkers are poised to shift treatment selection from anatomic staging toward biologically driven approaches. Multidisciplinary decision-making that integrates tumor biology, anticipated absolute benefit, toxicity, patient preferences, and surgical considerations will be essential to ensure individualized care.

Humans↗
PubMed2002

Postprandial and short-term effects of dietary virgin olive oil on oxidant/antioxidant status.

It is generally believed that virgin olive oil consumption has beneficial effects, but little is known about its effects postprandially on oxidant/antioxidant status. The aim of this study was to determine changes in oxidative stress biomarkers and lipid profile after a single dose of virgin olive oil and after 1 wk of daily consumption. Sixteen subjects (9 men, 7 women) ingested 50 mL of virgin olive oil in a single dose. Blood samples were collected from 0 to 24 h. Thereafter, 14 participants (8 men, 6 women) followed a 1-wk 25 mg/d virgin olive oil dietary intervention. Blood samples were collected at the end of this period. Serum TAG (P = 0.016), plasma FA (P < 0.001), and lipid peroxidation products in plasma (P< 0.001) and VLDL (P = 0.007) increased, reaching a peak at 4-6 h, and returning to baseline values at 24 h after oil ingestion. The opposite changes were observed in plasma glutathione peroxidase (P = 0.001) and glutathione reductase (GR) (P = 0.042). No changes in LDL lipid peroxidation or resistance to oxidation were observed postprandially. At 24 h, plasma oleic acid remained increased (P < 0.05) and resistance of LDL to oxidation improved (P < 0.05). After 1 wk of virgin olive oil consumption, plasma oleic acid (P = 0.031), resistance of LDL to oxidation (P< 0.05), and plasma GR activity (P = 0.005) increased. These results indicate that changes in oxidant/antioxidant status occur after oral virgin olive oil. Virgin olive oil consumption could provide short-term benefits for LDL resistance to oxidation and in glutathione-related enzyme activities.

Adult↗
PubMed2005

Statistical methods for comparing comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry results: metabolomic analysis of mouse tissue extracts.

The potential for the utilization of GC x GC-time-of-flight (TOF) MS for high-resolution metabolomics studies is discussed, with the implementation of some statistical comparisons for biomarker detection. Metabolite profiles from NZO obese mice versus BL/6 control mice are compared and contrasted using a number of chromatogram comparison routines, including direct chromatogram comparisons, chromatogram subtraction and averaging routines, as well as a method for generating relative weighted peak surface difference chromatograms, and a more conventional Student's t-test statistical approach.

Animals↗
PubMed2026

From standardization to precision medicine: Evolution of European Leukemianet recommendations in Philadelphia-negative myeloproliferative neoplasms.

The European LeukemiaNet (ELN) recommendations have been instrumental in shaping the diagnosis, risk stratification, and management of Philadelphia-negative myeloproliferative neoplasms (MPNs), including polycythemia vera, essential thrombocythemia, and primary myelofibrosis. Over the past two decades, these recommendations have evolved from consensus-based frameworks focused on response standardization to increasingly sophisticated, evidence-based and biologically informed approaches. Early efforts primarily aimed to harmonize response criteria across clinical studies, establishing a foundation for consistent therapeutic evaluation. Subsequent updates introduced risk-adapted treatment strategies centered on thrombotic risk, reflecting the major determinants of morbidity and mortality in these disorders. However, the limitations of surrogate endpoints prompted a shift toward clinically meaningful outcomes, including symptom burden, vascular events, and disease progression. More recent advances have been driven by the integration of molecular genetics and the adoption of structured evidence-based methodologies, enabling refined diagnostic classification and more accurate prognostic assessment. Contemporary ELN frameworks increasingly incorporate dynamic clinical parameters, genomic profiling, and emerging biomarkers, supporting a transition toward individualized, risk-adapted therapeutic strategies. Beyond their role in standardizing MPN management, ELN recommendations have also influenced clinical trial design, endpoint selection, risk stratification, and therapeutic decision-making. Evidence from prospective studies and real-world cohorts supports the clinical applicability of these frameworks, although their implementation remains heterogeneous across healthcare settings. This review provides a comprehensive and critical overview of the evolution and implementation of ELN recommendations, highlighting their impact on clinical research and routine practice, current limitations, and future directions toward precision medicine in Philadelphia-negative MPNs.

Essential thrombocythemia↗
PubMed2006

Emerging use of nanoparticles in diagnosis and treatment of breast cancer.

The biological application of nanoparticles is a rapidly developing area of nanotechnology that raises new possibilities in the diagnosis and treatment of human cancers. In cancer diagnostics, fluorescent nanoparticles can be used for multiplex simultaneous profiling of tumour biomarkers and for detection of multiple genes and matrix RNA with fluorescent in-situ hybridisation. In breast cancer, three crucial biomarkers can be detected and accurately quantified in single tumour sections by use of nanoparticles conjugated to antibodies. In the near future, the use of conjugated nanoparticles will allow at least ten cancer-related proteins to be detected on tiny tumour sections, providing a new method of analysing the proteome of an individual tumour. Supermagnetic nanoparticles have exciting possibilities as contrast agents for cancer detection in vivo, and for monitoring the response to treatment. Several chemotherapy agents are available as nanoparticle formulations, and have at least equivalent efficacy and fewer toxic effects compared with conventional formulations. Ultimately, the use of nanoparticles will allow simultaneous tumour targeting and drug delivery in a unique manner. In this review, we give an overview of the use of clinically applicable nanoparticles in oncology, with particular focus on the diagnosis and treatment of breast cancer.

Animals↗
PubMed2003

Advancing NMR sensitivity for LC-NMR-MS using a cryoflow probe: application to the analysis of acetaminophen metabolites in urine.

Cryogenic cooling of the NMR radio frequency coils and electronics to give greatly enhanced sensitivity is arguably the most significant recent advance in NMR spectroscopy. Here we report the first cryogenic probe built in flow configuration and demonstrate the application to LC-NMR-MS studies. This probe provides superior sensitivity over conventional noncryogenic flow NMR probes, allowing the use of 100 microL of untreated urine (40% less material than previous studies that required preconcentration) and yet revealing drug metabolites hitherto undetected by LC-NMR-MS at 500 MHz. Besides the known sulfate and glucuronide metabolites, previously undetected metabolites of acetaminophen were directly observable in a 15-min on-flow experiment. Simultaneous MS data also provided knowledge on the NMR-silent functional moieties. Further, stop-flow LC-NMR-MS experiments were conducted for greater signal-to-noise ratios on minor metabolites. The cryoflow probe enables the NMR analysis of lower concentrations of metabolites than was previously possible for untreated biofluids. This strategy is generally applicable for samples containing mass-limited analytes, such as those from drug metabolism studies, biomarker and toxicity profiling, impurity analysis, and natural product analysis.

Acetaminophen↗
PubMed2006

Impact of analytical bias in metabonomic studies of human blood serum and plasma.

Concurrent with the explosion in the number of publications reporting biomarker discovery by profiling technologies, such as proteomics and pattern recognition, has been the increase in evidence highlighting the susceptibility of these approaches to analytical and experimental bias. The work presented here addresses these timely issues by delivering a detailed characterization of the effect of common sources of bias in clinical studies on serum and plasma profiles generated by a key technology in metabonomics, NMR spectroscopy. Specifically, differences in composition when blood samples were collected onto and in the absence of ice, over a series of serum-clot contact times, the stability of NMR-prepared samples over time and the effect on the metabolic profile of freeze-thawing were examined. While differences between individuals were far greater than variation from any other experimental factor, each of the conditions examined did cause slight alterations to the NMR profile that could produce a systematic bias. Variation due to clotting time caused changes in energy metabolites, which were delayed by ice with no other spectral effects. Room-temperature stability and hence NMR spectral repeatability were high (<1% intrasample variation). Higher molecular weight species such as lipoproteins were more susceptible to the variations present in the examined factors. These observations have implications for profiling study design, and hence, our results form a new and valuable resource for those attempting clinical metabolic profiling, for regulatory agencies involved in the licensing of clinical tests and in the generation of international reporting standards for metabonomics.

Humans↗
PubMed2006

Complex disease-associated pharmacogenetics: drug efficacy, drug safety, and confirmation of a pathogenetic hypothesis (Alzheimer's disease).

Safety and efficacy pharmacogenetics can be applied successfully to the drug discovery and development pipeline at multiple phases. We review drug-target screening using high throughput SNP associations with complex diseases testing more than 1,800 candidate targets with approximately 7,000 SNPs. Alzheimer's disease data are provided as an example. The supplementation of target-selected screening with genome-wide SNP association, to also define susceptibility genes and relevant disease pathways for human diseases, is discussed. Applications for determining predictive genetic or genomic profiles, or derived biomarkers, for drug efficacy and safety during clinical development are exemplified by several successful experiments at different phases of development. A Phase I-IIA study of side effects using an oral drug for the treatment of breast cancer is used as an example of early pipeline pharmacogenetics to predict side effects and allow optimization of dosing. References are provided for several other recently published genetic association studies of adverse events during drug development. We illustrate the early identification of gene variant candidates related to efficacy in a Phase IIA obesity drug trial to generate hypotheses for testing in subsequent development. How these genetic data generated in Phase IIA are subsequently incorporated as hypotheses into later Phase clinical protocols is discussed. A Phase IIB clinical trial for Alzheimer's disease is described that exemplifies the major pipeline decision between program attrition and further clinical development. In this case, there was no significant improvement in 511 intention-to-treat patients but, applying a confirmed prognostic biomarker (APOE4) to segment the clinical trial population, all three doses of rosiglitazone demonstrated improvement in patients who did not carry the APOE4 allele. The data for the APOE4 carriers demonstrated no significant improvement but suggested that there may be a need for higher doses. Thus, a development program that would have been terminated progressed to Phase III registration trials based on the results of prospective efficacy pharmacogenetic analyses. The implications of using APOE genotype as a biomarker to predict efficacy and possibly dose, as well as supporting the basic neurobiology and pharmacology that provided the original target validation, is discussed. Citations are provided that support a slow neurotoxic effect over many years of a specific fragment of apoE protein (over-produced by apoE4 substrate compared to apoE3) on mitochondria and the use of rosiglitazone to increase mitochondrial biogenesis and improve glucose utilization. Pharmacogenetics is currently being used across the pipeline to prevent attrition and to create safer and more effective medicines.

Alzheimer Disease↗
PubMed2006

Effect of statins on beta-amyloid metabolism in humans: potential importance for the development of senile plaques in Alzheimer's disease.

According to the amyloid cascade hypothesis, both familial and sporadic Alzheimer's disease (AD) is caused by the toxic effect of over-production and/or aggregation of beta-amyloid (Abeta). Recent cell and animal studies have linked the production of Abeta to high levels of cholesterol and the use of statins, compounds inhibiting the de novo synthesis of cholesterol. Epidemiological studies have also supported such linkage by showing a reduced prevalence of AD for subjects taking statins. A limited number of clinical studies have been published trying to elucidate the effect of statin treatment on amyloid precursor protein (APP) processing and metabolism of brain cholesterol in AD in humans and this review focuses on the current state of these clinical studies. The results are contradictory, but the overall interpretation suggests that statin treatment probably does not have a direct impact through lowering of cholesterol on the APP processing and Abeta production in humans. To confirm this, further clinical studies needs to be performed with extended treatment periods and where several parameters (lipid profile, lipoproteins, sterols, biomarkers related to AD and APP metabolites) are analyzed, both in the cerebrospinal fluid and plasma. The pleiotropic effects of statins should be investigated further. One approach is presented in this review.

Alzheimer Disease↗
PubMed2007

Characterization of the human atheroma plaque secretome by proteomic analysis.

Atherosclerosis is one of the most common causes of death in developed countries. Atherosclerosis is an inflammatory process that results in the development of complex lesions or plaques that protrude into the arterial lumen. Plaque rupture and thrombosis result in the acute clinical complications of myocardial infarction and stroke. Although certain risk factors (dyslipidemias, diabetes, hypertension) and humoral markers of plaque vulnerability (C-reactive protein, interleukin-6, -10 and -18, CD-40L) have been identified, a highly sensitive and specific biomarker or protein profile, which could provide information on the stability/vulnerability of atherosclerotic lesions, remains to be identified. Recently, we have described a novel strategy consisting in the proteomic analysis of proteins released by normal and atherosclerotic arterial walls in culture. This method enables harvesting of proteins that are only secreted by pathological or normal arterial walls. By focusing only on the secreted proteins found in the tissue culture media, there is an intended bias toward those molecules that would have a higher probability of later being found in plasma. Using this approach, we have shown that carotid atherosclerotic plaques cultured in vitro are able to secrete proteins, and also that a differential pattern of protein secretion of normal arteries vs pathological ones has been observed. In this chapter, the proteomic analysis of the human atheroma plaque secretome is described.

Atherosclerosis↗
PubMedDate not supplied

Diagnosis of pancreatic cancer using serum proteomic profiling.

In the United States, mortality rates from pancreatic cancer (PCa) have not changed significantly over the past 50 years. This is due, in part, to the lack of early detection methods for this particularly aggressive form of cancer. The objective of this study was to use high-throughput protein profiling technology to identify biomarkers in the serum proteome for the early detection of resectable PCa. Using surface-enhanced laser desorption/ionization mass spectrometry, protein profiles were generated from sera of 49 PCa patients and 54 unaffected individuals after fractionation on an anion exchange resin. The samples were randomly divided into a training set (69 samples) and test set (34 samples), and two multivariate analysis procedures, classification and regression tree and logistic regression, were used to develop classification models from these spectral data that could distinguish PCa from control serum samples. In the test set, both models correctly classified all of the PCa patient serum samples (100% sensitivity). Using the decision tree algorithm, a specificity of 93.5% was obtained, whereas the logistic regression model produced a specificity of 100%. These results suggest that high-throughput proteomics profiling has the capacity to provide new biomarkers for the early detection and diagnosis of PCa.

Biomarkers, Tumor↗
PubMed2005

Application of MALDI-TOF mass spectrometry in screening and diagnostic research.

During the last years, mass spectrometry has revolutionised protein biochemistry and has advanced to a superior tool for the identification and detailed analysis of peptides and proteins. The high throughput allowed by some mass spectrometry platforms has enabled the important step from analysis of individual proteins to proteomics. Recently, an additional field of mass spectrometry applications has emerged - namely screening and diagnostic research. In contrast to protein identification, screening applications have to detect analyte molecules of defined molecular weights which can be calculated beforehand, for example by means of chemical structures. Here, the accuracy and sensitivity of mass spectrometry has to be combined with the requirements of high-throughput analyses, in particular speed and automation. These criteria are especially fulfilled by state of the art matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) instruments. The first high throughput screening (HTS) application proved to be genotyping of single nucleotide polymorphisms. The same principle was later applied for several quality control issues, for example for oligonucleotides, peptide or compound libraries. This development has culminated in the screening and profiling of complex biomarker patterns in clinical proteomics to detect a molecular fingerprint for specific diseases in biological samples. Thus, mass spectrometry based methods are expected to enable a very early diagnosis of diseases with minimally invasive methods of investigation. This type of high end screening application has the potential to revolutionise the early diagnosis of many diseases. Here, we give an overview of the application of mass spectrometry in the fields of screening and diagnostic research.

Biomedical Research↗
PubMed2007

Rosiglitazone in diabetes control in hemodialysis patients with and without viral hepatitis infection: effectiveness and side effects.

OBJECTIVE: Thiazolidinedione (TZD) may provide an additional benefit of cardiovascular protection in diabetic patients through targeting of insulin resistance. However, use of a TZD is hampered by possible effects of fluid retention and hepatotoxicity. In this study we aimed to determine whether the risk of TZD-induced fluid retention or hepatic injury is higher in hemodialysis patients with persistent viral hepatitis infection. RESEARCH DESIGN AND METHODS: This was a prospective, cohort study on hemodialysis patients. Type 2 diabetic patients with A1C levels of >8% were followed for at least 12 months. Rosiglitazone was initiated at 2-4 mg/day. The primary outcome was the target A1C (<7%) achieved and dosages of rosiglitazone. Secondary outcomes included changes in lipid profile and inflammatory biomarkers. Safety evaluations were number of hypoglycemic episodes, changes in liver transaminase levels, cardiothoracic ratio (CTR), fluid status control during dialysis, and events of symptomatic heart failure. RESULTS: A total of 78 patients, including 15.4% (n = 12) hepatitis B surface antigen-positive and 16.7% (n = 13) anti-hepatis C virus (HCV)-positive patients, were enrolled. The mean follow-up period was 15.4 +/- 3.8 months. The diabetic response rate (A1C <7%) to rosiglitazone was 86.1%. The serum triglyceride level was reduced (194 +/- 112.5 to 168 +/- 88 mg/dl, P = 0.037) more significantly than the total cholesterol level (178 +/- 42.1 to 174 +/- 46.5 mg/dl, P = 0.13). High-dose rosiglitazone (8 mg/day) reduced the serum level of C-reactive protein and increased the serum adiponectin level significantly. After rosiglitazone, interdialysis weight gain (2.07 +/- 1.6 to 3.2 +/- 1.2 kg, P < 0.01) and mean CTR (48.2 +/- 5.6 to 50.4 +/- 6.2%, P = 0.0213) of individuals increased significantly. Nevertheless, liver aminotransferase (aspartate aminotransferase and alanine aminotransferase) levels did not show a tendency to increase in patients (n = 25) with viral hepatitis B or C infections. CONCLUSIONS: Among regular hemodialysis patients with chronic viral hepatitis infections, rosiglitazone may be safely used for diabetes control. However, one must be aware that a possible effect of its use is a deterioration in cardiovascular reserve.

C-Reactive Protein↗
PubMed2003

Evaluation of vitamin E against deltamethrin toxicity in broiler chicks.

Deltamethrin toxicity was studied in broilers and vitamin E was evaluated for therapeutic management. Day old male broiler chicks were randomly divided into 3 groups consisting of 6 chicks in each. Group 1 was maintained as control for 6 wks, group 2 was fed on deltamethrin (100 mg/kg feed) for 6 wks and group 3 was fed on deltamethrin for the first 4 wks and during the subsequent 2 wks with vitamin E (300 mg/kg feed) with out deltamethrin. Weekly body weights, feed conversion ratio, glutathione (GSH) concentration and high density lipoproteins (HDL) were significantly (P < 0.05) reduced, while the activities of glutathione peroxidase (GSH-Px), glutathione reductase (GSH-R), catalase, aspartate aminotransferase (AST) and lactate dehydrogenase (LDH), and the lipid profile and renal biomarkers were increased significantly (P < 0.05) in group 2 and 3 at the end of 4th wk as compared to group 1. Following treatment with vitamin E during the last 2 wks in group 3, all the parameters in study revealed improvement. From this study, it is concluded that deltamethrin induces toxicity by oxidative damage in biological system and supplementing vitamin E in feed is useful in treating accidental toxicity.

Animals↗