Sex-related differential susceptibility to doxorubicin-induced cardiotoxicity in B6C3F1 mice.

Sex is a risk factor for development of cardiotoxicity, induced by the anti-cancer drug, doxorubicin (DOX), in humans. To explore potential mechanisms underlying differential susceptibility to DOX between sexes, 8-week old male and female B6C3F1 mice were dosed with 3mg/kg body weight DOX or an equivalent volume of saline via tail vein once a week for 6, 7, 8, and 9 consecutive weeks, resulting in 18, 21, 24, and 27mg/kg cumulative DOX doses, respectively. At necropsy, one week after each consecutive final dose, the extent of myocardial injury was greater in male mice compared to females as indicated by higher plasma concentrations of cardiac troponin T at all cumulative DOX doses with statistically significant differences between sexes at the 21 and 24mg/kg cumulative doses. A greater susceptibility to DOX in male mice was further confirmed by the presence of cytoplasmic vacuolization in cardiomyocytes, with left atrium being more vulnerable to DOX cardiotoxicity. The number of TUNEL-positive cardiomyocytes was mostly higher in DOX-treated male mice compared to female counterparts, showing a statistically significant sex-related difference only in left atrium at 21mg/kg cumulative dose. DOX-treated male mice also had an increased number of γ-H2A.X-positive (measure of DNA double-strand breaks) cardiomyocytes compared to female counterparts with a significant sex effect in the ventricle at 27mg/kg cumulative dose and right atrium at 21 and 27mg/kg cumulative doses. This newly established mouse model provides a means to identify biomarkers and access potential mechanisms underlying sex-related differences in DOX-induced cardiotoxicity.

Early transcriptional changes in cardiac mitochondria during chronic doxorubicin exposure and mitigation by dexrazoxane in mice.

Identification of early biomarkers of cardiotoxicity could help initiate means to ameliorate the cardiotoxic actions of clinically useful drugs such as doxorubicin (DOX). Since DOX has been shown to target mitochondria, transcriptional levels of mitochondria-related genes were evaluated to identify early candidate biomarkers in hearts of male B6C3F1 mice given a weekly intravenous dose of 3mg/kg DOX or saline (SAL) for 2, 3, 4, 6, or 8 weeks (6, 9, 12, 18, or 24 mg/kg cumulative DOX doses, respectively). Also, a group of mice was pretreated (intraperitoneally) with the cardio-protectant, dexrazoxane (DXZ; 60 mg/kg) 30 min before each weekly dose of DOX or SAL. At necropsy a week after the last dose, increased plasma concentrations of cardiac troponin T (cTnT) were detected at 18 and 24 mg/kg cumulative DOX doses, whereas myocardial alterations were observed only at the 24 mg/kg dose. Of 1019 genes interrogated, 185, 109, 140, 184, and 451 genes were differentially expressed at 6, 9, 12, 18, and 24 mg/kg cumulative DOX doses, respectively, compared to concurrent SAL-treated controls. Of these, expression of 61 genes associated with energy metabolism and apoptosis was significantly altered before and after occurrence of myocardial injury, suggesting these as early genomics markers of cardiotoxicity. Much of these DOX-induced transcriptional changes were attenuated by pretreatment of mice with DXZ. Also, DXZ treatment significantly reduced plasma cTnT concentration and completely ameliorated cardiac alterations induced by 24 mg/kg cumulative DOX. This information on early transcriptional changes during DOX treatment may be useful in designing cardioprotective strategies targeting mitochondria.

Influence of amount of starting material for DNA extraction on detection of low-level presence of genetically engineered traits.

Two laboratories independently examined how the amount of starting material influences DNA extraction efficiency and, ultimately, the detection of low-level presence of genetically engineered (GE) traits in commercialized grains. GE traits from one maize, two canola, and two soybean samples were used as prototypical models in the study design as well as two commonly used DNA extraction methods, a small scale (0.1 and 0.2 g samples) and a large scale (1.0 and 2.0 g samples). The DNA samples were fortified (spiked) at 0.1 and 0.01% (w/w) levels. The amount of DNA recovery varied between the two laboratories, although a sufficient amount of DNA was obtained to perform replicate PCR analysis by both laboratories. Reliable detection of all five events was achieved by both laboratories at 0.1% level using either small-scale or large-scale DNA extractions. Reliable detection of the GE events was achieved at 0.01% level for soybean and canola but not for maize. Variability was observed among the two laboratories in terms of the Ct values generated. There was no difference between small-scale and large-scale DNA extraction methods for qualitative PCR detections of all five GE events.

Concordance study: methods of quantifying corn and soybean genomic DNA intended for real-time polymerase chain reaction applications.

Quantitative real-time polymerase chain reaction (qPCR) is a technology commonly used for the detection and quantification of genetically engineered (GE) traits in grains and oilseeds. The method involves measuring copy numbers of taxon-specific, endogenous control genes exposed to the same manipulations as trait-specific target genes. Accurate DNA quantification is essential for successful and predictable results with qPCR. A systematic study of seven different DNA quantification methods, incorporating different chemistries and different instrumentation, were evaluated on corn and soy DNA that was extracted using two distinct extraction methods. A time course study showed that corn and soy DNA was stable under typical laboratory storage conditions. CornCTAB and cornQiagen DNA extracts produced statistically similar quantification values when measured by picogreen PG(TD700), PG(Lum20/20), Hoescht(TD700), and Hoescht(Lum20/20) methods, suggesting that these methods can be used interchangeably to quantify DNA in corn samples prior to initiation of qPCR. Soy(Qiagen) provided greater stochastic measurement variability when quantification methods were compared, whereas soyCTAB had statistically significant differences when a PG method was compared to a Hoescht method of DNA quantification. Finally, agarose gel electrophoresis data revealed more pronounced degradation for Qiagen-extracted DNA compared with CTAB extracts in both corn and soy. Consequently, Ct values generated by qPCR suggested that absolute copy numbers of PCR amplifiable targets were not concordant between Qiagen and CTAB DNA extracts. Understanding measurement uncertainty from component steps used in qPCR can contribute toward harmonizing methods for the detection of GE traits in grains and oilseeds.

Influence of DNA extraction methods, PCR inhibitors and quantification methods on real-time PCR assay of biotechnology-derived traits.

Biotechnology-derived varieties of canola, cotton, corn and soybean are being grown in the USA, Canada and other predominantly grain exporting countries. Although the amount of farmland devoted to production of biotechnology-derived crops continues to increase, lingering concerns that unintended consequences may occur provide the EU and most grain-importing countries with justification to regulate these crops. Legislation in the EU requires traceability of grains/oilseeds, food and feed products, and labelling, when a threshold level of 0.9% w/w of genetically engineered trait is demonstrated to be present in an analytical sample. The GE content is routinely determined by quantitative PCR (qPCR) and plant genomic DNA provides the template for the initial steps in this process. A plethora of DNA extraction methods exist for qPCR applications. Implementing standardized methods for detection of genetically engineered traits is necessary to facilitate grain marketing. The International Organization for Standardization draft standard 21571 identifies detergent-based methods and commercially available kits that are widely used for DNA extraction, but also indicates that adaptations may be necessary depending upon the sample matrix. This review assesses advantages and disadvantages of various commercially available DNA extraction kits, as well as modifications to published cetyltrimethylammonium bromide methods. Inhibitors are a major obstacle for efficient amplification in qPCR. The types of PCR inhibitors and techniques to minimize inhibition are discussed. Finally, accurate quantification of DNA for applications in qPCR is not trivial. Many confounders contribute to differences in analytical measurements when a particular DNA quantification method is applied and different methods do not always provide concordant results on the same DNA sample. How these differences impact measurement uncertainty in qPCR is considered.

The use of 35S and Tnos expression elements in the measurement of genetically engineered plant materials.

An online survey was conducted by the International Life Sciences Institute, Food Biotechnology Committee, on the use of qualitative and quantitative polymerase chain reaction (PCR) assays for cauliflower mosaic virus 35S promoter and Agrobacterium tumefaciens Tnos DNA sequence elements for the detection of genetically engineered (GE) crop plant material. Forty-four testing laboratories around the world completed the survey. The results showed the widespread use of such methods, the multiplicity of published and in-house methods, and the variety of reference materials and calibrants in use. There was an interest on the part of respondents in validated quantitative assays relevant to all GE events that contain these two genetic elements. Data are presented by testing two variations each of five published real-time quantitative PCR methods for 35S detection on eight maize reference materials. The results showed that two of the five methods were not suitable for all the eight reference materials, with poor linear regression parameters and multiple PCR amplification products for some of the reference materials. This study demonstrates that not all 35S methods produce satisfactory results, emphasizing the need for method validation.

Evaluating precision and accuracy when quantifying different endogenous control reference genes in maize using real-time PCR.

The agricultural biotechnology industry routinely utilizes real-time quantitative PCR (RT-qPCR) for the detection of biotechnology-derived traits in plant material, particularly for meeting the requirements of legislative mandates that rely upon the trace detection of DNA. Quantification via real-time RT-qPCR in plant species involves the measurement of the copy number of a taxon-specific, endogenous control gene exposed to the same manipulations as the target gene prior to amplification. The International Organization for Standardization (ISO 21570:2005) specifies that the copy number of an endogenous reference gene be used for normalizing the concentration (expressed as a % w/w) of a trait-specific target gene when using RT-qPCR. For this purpose, the copy number of a constitutively expressed endogenous reference gene in the same sample is routinely monitored. Real-time qPCR was employed to evaluate the predictability and performance of commonly used endogenous control genes (starch synthase, SSIIb-2, SSIIb-3; alcohol dehydrogenase, ADH; high-mobility group, HMG; zein; and invertase, IVR) used to detect biotechnology-derived traits in maize. The data revealed relatively accurate and precise amplification efficiencies when isogenic maize was compared to certified reference standards, but highly variable results when 23 nonisogenic maize cultivars were compared to an IRMM Bt-11 reference standard. Identifying the most suitable endogenous control gene, one that amplifies consistently and predictably across different maize cultivars, and implementing this as an internationally recognized standard would contribute toward harmonized testing of biotechnology-derived traits in maize.

Evaluating homogeneity of LL601 rice in commercial lots using quantitative real-time PCR.

Homogeneity analysis was performed on four distinctive commercial lots, derived from the 2006 rice harvest in the United States. Lots that had previously been tested and suspected to have some level of LL601 were selected to determine lot homogeneity. LL601 infiltration in the lots was low and estimated to contain <0.01% (sigma = 0.026), 0.014% (sigma = 0.020), 0.054% (sigma = 0.043), and 0.074% (sigma = 0.031) LL601. Lots were analyzed statistically as a one-way classification, or one-factor experiment, to assess the presence of strata within the lot. A p value of 0.05 or lower is needed to declare statistical significance and would suggest significant differences among the samples. The data revealed p values ranging between 0.105 and 0.607. The calculated p values for all lots were greater than the critical value of 0.05. Samples taken from different locations throughout these four commercial lots did not show statistically significant stratifications within the lot.

Immunoassay as an analytical tool in agricultural biotechnology.

Immunoassays for biotechnology engineered proteins are used by AgBiotech companies at numerous points in product development and by feed and food suppliers for compliance and contractual purposes. Although AgBiotech companies use the technology during product development and seed production, other stakeholders from the food and feed supply chains, such as commodity, food, and feed companies, as well as third-party diagnostic testing companies, also rely on immunoassays for a number of purposes. The primary use of immunoassays is to verify the presence or absence of genetically modified (GM) material in a product or to quantify the amount of GM material present in a product. This article describes the fundamental elements of GM analysis using immunoassays and especially its application to the testing of grains. The 2 most commonly used formats are lateral flow devices (LFD) and plate-based enzyme-linked immunosorbent assays (ELISA). The main applications of both formats are discussed in general, and the benefits and drawbacks are discussed in detail. The document highlights the many areas to which attention must be paid in order to produce reliable test results. These include sample preparation, method validation, choice of appropriate reference materials, and biological and instrumental sources of error. The article also discusses issues related to the analysis of different matrixes and the effects they may have on the accuracy of the immunoassays.

Evaluation of extraction methodologies for corn kernel (Zea mays) DNA for detection of trace amounts of biotechnology-derived DNA.

Sensitive and accurate testing for trace amounts of biotechnology-derived DNA from plant material requires pure, high-quality genomic DNA as template for subsequent amplification using the polymerase chain reaction (PCR). Six methodologies were evaluated for extracting DNA from ground corn kernels spiked with 0.1% (m/m) CBH351 (StarLink) corn. DNA preparations were evaluated for purity and fragment size. Extraction efficiency was determined. The alcohol dehydrogenase gene (adh1) and the CBH351 (cry9C, 35S promoter) genes in the genomic DNA were detected using PCR. DNA isolated by two of the methods proved unsuitable for performing PCR amplification. All other methods produced some DNA preparations that gave false negative PCR results. We observed that cornstarch, a primary component of corn kernels, was not an inhibitor of PCR, while acidic polysaccharides were. Our data suggest that amplification of an endogenous positive control gene, as an indicator for the absence of PCR inhibitors, is not always valid. This study points out aspects of DNA isolation that need to be considered when choosing a method for a particular plant/tissue type.