Different approaches for the detection of thrombin by an electrochemical aptamer-based assay coupled to magnetic beads

Different assay formats based on the coupling of magnetic beads with electrochemical transduction were compared here for the detection of thrombin by using a thrombin specific aptamer. By using the thrombin-binding aptamer, a direct and an indirect competitive assay for thrombin have been developed by immobilising the aptamer or the protein, respectively. Moreover, another strategy was based on the direct measurement of the enzymatic product of thrombin captured by the immobilised aptamer. All the assays were developed by coupling the electrochemical transduction with the innovative and advantageous use of magnetic beads.

The assays based on the immobilisation of the protein were not successful since no binding was recorded between thrombin and its aptamer. With the direct competitive assay, when the aptamer was immobilised onto the magnetic beads, a detection limit of 430 nM for thrombin was achieved. A lower detection limit for the protein (175 nM) was instead obtained by detecting the product of the enzymatic reaction catalysed by thrombin. All these assays were finally compared with a sandwich assay which reached a detection limit of 0.45 nM of thrombin demonstrating the best analytical performances.

With this comparison the importance of a deep study on the different analytical approaches for thrombin detection to reach the performances of the best assay configuration has been demonstrated.     

Leukotrienes and prostaglandins in fetal lung liquid

Several recent studies have suggested that peptidoleukotrienes are involved in or responsible for the pulmonary pressor response to hypoxia as well as the normally high pulmonary vascular resistance of fetal lambs. The present studies were carried out to test these hypotheses. Fetal lambs were prepared with indwelling vascular catheters and tracheal catheters for access to lung liquid. We measured lung liquid levels of leukotrienes C4 (LTC4) and D4 (LTD4) in control unanesthetized fetal lambs with blood gases and pH in the normal range. In the control series, LTC4 and LTD4 were either not detectable or their levels were close to the limit of resolution (LTC4, less than 80 pg/ml; LTD4, less than 50 pg/ml) of the techniques utilized. Leukotriene E4 was measured in a separate study by using pooled samples, and it was also found to be below the detection limit of that assay (10 pg/ml). In a second series of animals, a level of acute hypoxia was induced to decrease fetal arterial PO2 to 12 Torr for 20 min. After hypoxia, tracheal fluid levels of leukotrienes were again below detection limits of the assays used (LTC4, less than 80 pg/ml; LTD4, less than 142 pg/ml). In another study, methodology was altered to lower the detection limits of leukotrienes in lung fluid and to allow the measurement of total peptidoleukotriene concentrations. In this study, even when hypoxia was extended for up to 1 h, leukotriene levels were consistently below the limit of detection of the assay (less than 20 pg/ml for the sum of all leukotrienes).(ABSTRACT TRUNCATED AT 250 WORDS)     

A note on comparing exposure data to a regulatory limit in the presence of unexposed and a limit of detection

In some occupational health studies, observations occur in both exposed and unexposed individuals. If the levels of all exposed individuals have been detected, a two-part zero-inflated log-normal model is usually recommended, which assumes that the data has a probability mass at zero for unexposed individuals and a continuous response for values greater than zero for exposed individuals. However, many quantitative exposure measurements are subject to left censoring due to values falling below assay detection limits. A zero-inflated log-normal mixture model is suggested in this situation since unexposed zeros are not distinguishable from those exposed with values below detection limits. In the context of this mixture distribution, the information contributed by values falling below a fixed detection limit is used only to estimate the probability of unexposed. We consider sample size and statistical power calculation when comparing the median of exposed measurements to a regulatory limit. We calculate the required sample size for the data presented in a recent paper comparing the benzene TWA exposure data to a regulatory occupational exposure limit. A simulation study is conducted to investigate the performance of the proposed sample size calculation methods.     

Bayesian analysis of serial dilution assays

In a serial dilution assay, the concentration of a compound is estimated by combining measurements of several different dilutions of an unknown sample. The relation between concentration and measurement is nonlinear and heteroscedastic, and so it is not appropriate to weight these measurements equally. In the standard existing approach for analysis of these data, a large proportion of the measurements are discarded as being above or below detection limits. We present a Bayesian method for jointly estimating the calibration curve and the unknown concentrations using all the data. Compared to the existing method, our estimates have much lower standard errors and give estimates even when all the measurements are outside the "detection limits." We evaluate our method empirically using laboratory data on cockroach allergens measured in house dust samples. Our estimates are much more accurate than those obtained using the usual approach. In addition, we develop a method for determining the "effective weight" attached to each measurement, based on a local linearization of the estimated model. The effective weight can give insight into the information conveyed by each data point and suggests potential improvements in design of serial dilution experiments.     

A nested real-time PCR assay has an increased sensitivity suitable for detection of viruses in aerosol studies

Aims:  Influenza is commonly spread by infectious aerosols; however, detection of viruses in aerosols is not sensitive enough to confirm the characteristics of virus aerosols. The aim of this study was to develop an assay for respiratory viruses sufficiently sensitive to be used in epidemiological studies.
Method:  A two-step, nested real-time PCR assay was developed for MS2 bacteriophage, and for influenza A and B, parainfluenza 1 and human respiratory syncytial virus. Outer primer pairs were designed to nest each existing real-time PCR assay. The sensitivities of the nested real-time PCR assays were compared to those of existing real-time PCR assays. Both assays were applied in an aerosol study to compare their detection limits in air samples.
Conclusions:  The nested real-time PCR assays were found to be several logs more sensitive than the real-time PCR assays, with lower levels of virus detected at lower Ct values. The nested real-time PCR assay successfully detected MS2 in air samples, whereas the real-time assay did not.
Significance and Impact of the Study:  The sensitive assays for respiratory viruses will permit further research using air samples from naturally generated virus aerosols. This will inform current knowledge regarding the risks associated with the spread of viruses through aerosol transmission.     

Photoaptamer arrays applied to multiplexed proteomic analysis

Multiplexed photoaptamer-based arrays that allow for the simultaneous measurement of multiple proteins of interest in serum samples are described. Since photoaptamers covalently bind to their target analytes before fluorescent signal detection, the arrays can be vigorously washed to remove background proteins, providing the potential for superior signal-to-noise ratios and lower limits of quantification in biological matrices. Data are presented here for a 17-plex photoaptamer array exhibiting limits of detection below 10 fM for several analytes including interleukin-16, vascular endothelial growth factor, and endostatin and able to measure proteins in 10% serum samples. The assays are simple, scalable, and reproducible. Affinity of the capture reagent is shown to be directly correlated to the limit of detection for the analyte on the array.     

Detection of competitive enzyme inhibition with end point progress curve data

A model for a dimensionless factor, the inhibition detection limit (IDL), which describes the limit of detection of competitive inhibition for end point assays as a function of the proportion of substrate converted into product, has been developed. For a given end point enzymatic assay, the IDL function has a maximum that is dependent on the error structure parameters (four parameters) of the assay, the value of [S]o/K(ms), and the extent of product inhibition (K(ms)/K(mp)). Accordingly, the substrate conversion level that maximized the ability to detect samples with high Ki/[I] ratios was predicted for each member of a population of simulated assays. Furthermore, we identified a consensus substrate conversion level where the probability of a near-optimal robustness and detection limit for all the members of the assay population is maximal. Unlike the optimal substrate conversion level for individual assays, this consensus substrate conversion level was dependent only on [S]o/K(m), K(ms)/K(mp), and whether the signal increases or decreases during the course of the reaction. Consensus substrate conversion levels were beyond the initial velocity range for almost all the analyzed assay populations. It was shown that the IDL factor was a more informative indicator of assay quality than the popular Z' factor.     

The distribution of viral blips observed in HIV-1 infected patients treated with combination antiretroviral therapy

Human immunodeficiency virus type 1 (HIV-1) infected patients treated with combination antiretroviral therapy frequently have the level of HIV-1 RNA detectable in plasma driven below the lower limit of detection of current assays, 50 copies ml⁻¹. Patients may continue to exhibit viral loads (VLs) below the assay limit for years, yet on some occasions the VL may be above the limit of detection. Whether these ‘blips’ in VL are simply assay errors or are indicative of intermittent episodes of increased viral replication is of great clinical concern. By analyzing the occurrence of viral blips in 123 treated HIV-infected patients, we show that patients do not share a common probability distribution of blip amplitude and thus reject the hypothesis that blips are solely due to assay variation. Work performed under the auspices of the U.S. Department of Energy.     

Comparison of quantitative PCR assays for Escherichia coli targeting ribosomal RNA and single copy genes

Aims: Compare specificity and sensitivity of quantitative PCR (qPCR) assays targeting single and multi‐copy gene regions of Escherichia coli. Methods and Results: A previously reported assay targeting the uidA gene (uidA405) was used as the basis for comparing the taxonomic specificity and sensitivity of qPCR assays targeting the rodA gene (rodA984) and two regions of the multi‐copy 23S ribosomal RNA gene (EC23S and EC23S857). Experimental analyses of 28 culture collection strains representing E. coli and 21 related non‐target species indicated that the uidA405 and rodA984 assays were both 100% specific for E. coli while the EC23S assay was only 29% specific. The EC23S857 assay was only 95% specific due to detection of E. fergusonii. The uidA405, rodA984, EC23S and EC23S857 assays were 85%, 85%, 100% and 86% sensitive, respectively, in detecting 175 presumptive E. coli culture isolates from fresh, marine and waste water samples. In analyses of DNA extracts from 32 fresh, marine and waste water samples, the rodA984, EC23S and EC23S857 assays detected mean densities of target sequences at ratios of approximately 1 : 1, 243 : 1 and 6 : 1 compared with the mean densities detected by the uidA405 assay. Conclusions: The EC23S assay was less specific for E. coli, whereas the rodA984 and EC23S857 assay taxonomic specificities and sensitivities were similar to those of the uidA405 gene assay. Significance and Impact: The EC23S857 assay has a lower limit of detection for E. coli cells than the uidA405 and rodA984 assays due to its multi‐copy gene target and therefore provides greater analytical sensitivity in monitoring for these faecal pollution indicators in environmental waters by qPCR methods.     

Rapid detection and identification of biological and chemical agents by immunoassay, gene probe assay and enzyme inhibition using a silicon-based biosensor

A rapid biosensor assay procedure that utilizes biotin streptavidin mediated filtration capture onto nitrocellulose membrane, in conjunction with a silicon-based light-addressable potentiometric sensor (LAPS) was developed for detection and identification of biological and chemical threat agents. Sandwich immunoassays, nucleic acid hybridization assays and enzyme inhibition assays are described. For immunoassays, the lower limits of detection (LOD) per 100-microl sample were approximately 5 pg/ml for protein (Staphylococcal enterotoxin B), 2 ng/ml for virus (Newcastle disease virus), and 20 ng/ml for vegetative bacteria (Brucella melitensis). In a dual gene probe assay format, the LOD was 0.30 fmol (1.8 x 10(8) copies per 60-microl) of single stranded target DNA. Enzyme inhibition assays on the LAPS using acetylcholinesterase were able to detect soman and sarin in aqueous samples at 2 and 8 pg (100 and 600 pM), respectively. The assays were easy to perform and required a total time equal to the reaction period plus about 15 min for filtering, washing and sensing. The assay format is suitable for detection of a wide range of infectious and toxic substances. New assays can be developed and optimized readily, often within 1 or 2 days.     

Antibody-based systems for the detection of Bacillus anthracis in environmental samples

There is a necessity for rapid immunodiagnostic techniques for the detection and identification of Bacillus anthracis in environmental specimens. The technology available for accomplishing this ranges in complexity from a simple dipstick type assay to complex biosensors. We have developed antigen capture dipstick assays for a series of infectious agents including an assay for B. anthracis protective antigen and one for B. anthracis spores. These immunochromatographic assays use colloidal gold to visualize the reaction and take approximately 15 min to perform. We will also describe our current effort in the development of two antigen detection biosensors and discuss the sensitivity and specificity of the assays in environmental specimens.     

Utilization of fluorescence polarization and time resolved fluorescence resonance energy transfer assay formats for SAR studies: Src kinase as a model system

High-throughput screening (HTS), a major component of lead identification, often utilizes fluorescence-based assay technologies. For example, HTS kinase assays are formatted using a variety of fluorescence-based assay technologies including, but not limited to, dissociation enhanced lanthanide fluoroimmunoassay (DELFIA), time-resolved fluorescence resonance energy transfer (TR-FRET), and fluorescence polarization (FP). These assays offer tremendous advantages such as a nonradioactive format, ease of automation, and excellent reproducibility. Fluorescence-based assays frequently used for lead identification can also be useful for structure activity relationship (SAR) studies during lead optimization. An important issue when assessing an assay to be used for SAR is the ability of the assay to discriminate high-affinity small molecule inhibitors (pM-nM) from low-affinity inhibitors (microM-mM). The purpose of this study was to utilize HTS-friendly assay formats for SAR by developing TR-FRET, FP, and DELFIAassays measuring Src kinase activity and to define the theoretical lower limit of small molecule inhibitor detection achievable with these assay formats. The authors show that 2 homogeneous assay formats, TR-FRET and FP, allowed for the development of Src kinase assays with a lower limit of detection of K(i) = 0.01 nM. This study indicates that assay technologies typically used for HTS can be used during lead optimization by providing quantitative measurements of compound activity critical to driving SAR studies.     

Rapid and simple detection of Clostridium botulinum types A and B by loop-mediated isothermal amplification

Aims:  To develop a convenient and rapid detection method for toxigenic Clostridium botulinum types A and B using a loop-mediated isothermal amplification (LAMP) method.
Methods and results:  The LAMP primer sets for the type A or B botulinum neurotoxin gene, BoNT / A or BoNT / B , were designed. To determine the specificity of the LAMP assay, a total of 14 C. botulinum strains and 17 other Clostridium strains were tested. The assays for the BoNT/A or BoNT/B gene detected only type A or B C. botulinum strains, respectively, but not other types of C. botulinum or strains of other Clostridium species. Using purified chromosomal DNA, the sensitivity of LAMP for the BoNT/A or BoNT/B gene was 1 pg or 10 pg of DNA per assay, respectively. The assay times needed to detect 1 ng of DNA were only 23 and 22 min for types A and B, respectively. In food samples, the detection limit per reaction was one cell for type A and 10 cells for type B.
Conclusions:  The LAMP is a sensitive, specific and rapid detection method for C. botulinum types A and B.
Significance and Impact of the Study:  The LAMP assay would be useful for detection of C. botulinum in environmental samples.     

CombiMatrix oligonucleotide arrays: genotyping and gene expression assays employing electrochemical detection

Electrochemical detection has been developed and assay performances studied for the CombiMatrix oligonucleotide microarray platform that contains 12,544 individually addressable microelectrodes (features) in a semiconductor matrix. The approach is based on the detection of redox active chemistries (such as horseradish peroxidase (HRP) and the associated substrate TMB) proximal to specific microarray electrodes. First, microarray probes are hybridized to biotin-labeled targets, second, the HRP-streptavidin conjugate binds to biotin, and enzymatic oxidation of the electron donor substrate then occurs. The detection current is generated due to electro-reduction of the HRP reaction product, and it is measured with the CombiMatrix ElectraSense Reader. Performance of the ElectraSense platform has been characterized using gene expression and genotyping assays to analyze: (i) signal to concentration dependence, (ii) assay resolution, (iii) coefficients of variation, (CV) and (iv) array-to-array reproducibility and data correlation. The ElectraSense platform was also compared to the standard fluorescent detection, and good consistency was observed between these two different detection techniques. A lower detection limit of 0.75 pM was obtained for ElectraSense as compared to the detection limit of 1.5 pM obtained for fluorescent detection. Thus, the ElectraSense platform has been used to develop nucleic acid assays for highly accurate genotyping of a variety of pathogens including bio-threat agents (such as Bacillus anthracis, Yersinia pestis, and other microorganisms including Escherichia coli, Bacillus subtilis, etc.) and common pathogens of the respiratory tract (e.g. influenza A virus).     

A quantitative assay for assessing allelic proportions by iterative gap ligation.

A variety of techniques are currently available for detecting point mutations in DNA. These techniques are frequently not sensitive enough to be applied as quantitative assays in evaluation of relative occurrence of alleles in cases of polymorphism or when variations in allelic gene expression are being evaluated at the level of RNA. We report here the establishment of an iterative gap ligation (IGL) assay that is both quantitative and sensitive. The design of the assay is such that ligation of an upstream to a downstream primer across a single nucleotide gap will only occur if the gap is filled with a deoxynucleotide complementary to the wild-type or mutant sequence. Under conditions in which excess upstream primer saturates the template concurrently with limiting amounts of downstream primer quantitative ligation is absolutely dependent on provision of the appropriate gap filling nucleotide. When gap ligation occurs in a single incubation, or cycle, the amount of ligated product is a linear function of the relative amount of mutant sequence, with a sensitivity and detection limit of approximately 3% over a range of relative concentrations of 0-100%. When the reaction occurs over multiple cycles, or iterations, gap ligation becomes a non-linear function such that small changes in the relative proportions of alleles produce a disproportionately large amount of ligation. As a consequence, the sensitivity and limits of detection of the assay improve to 0.2% after only 8 cycles. The development of this assay provides a unique means of quantifying allelic polymorphisms in both DNA and RNA (after initial amplification by PCR or RT-PCR) and should be applicable to any experimental settings in which nucleic acids from tissues or mixed populations of cells are being evaluated.     

Repeated probit regression when covariates are measured with error

This paper develops a model for repeated binary regression when a covariate is measured with error. The model allows for estimating the effect of the true value of the covariate on a repeated binary response. The choice of a probit link for the effect of the error-free covariate, coupled with normal measurement error for the error-free covariate, results in a probit model after integrating over the measurement error distribution. We propose a two-stage estimation procedure where, in the first stage, a linear mixed model is used to fit the repeated covariate. In the second stage, a model for the correlated binary responses conditional on the linear mixed model estimates is fit to the repeated binary data using generalized estimating equations. The approach is demonstrated using nutrient safety data from the Diet Intervention of School Age Children (DISC) study.     

Maximally efficient two-stage screening

In DNA library screening, blood testing, and monoclonal antibody generation, significant savings in the number of assays can be realized by employing group sampling. Practical considerations often limit the number of stages of group testing that can be performed. We address situations in which only two stages of testing are used. We define efficiency to be the expected number of positives isolated per assay performed and assume gold-standard tests with unit sensitivity and specificity. Although practical tests never are golden, polymerase chain reaction (PCR) methods provide procedures for screening recombinant libraries that are strongly selective yet retain high sensitivity even when samples are pooled. Also, results for gold-standard tests serve as bounds on the performance of practical testing procedures. First we derive formulas for the efficiency of certain extensions of the popular rows-and-columns technique. Then we derive an upper bound on the efficiency of any two-stage strategy that lies well below the classical upper bound for situations with no constraint on the number of stages. This establishes that a restriction to only two stages necessitates performing many more assays than efficient multistage procedures need. Next, we specialize the bound to cases in which each item belonging only to pools that tested positive in stage 1 must be tested individually in stage 2. The specialized bound for such positive procedures is tight because we show that an appropriate multidimensional extension of the rows-and-columns technique achieves it. We also show that two-stage positive procedures in which the stage-1 groups are selected at random perform suboptimally, thereby establishing that efficient tests must be structured carefully.     

A fluorimetric Morgan-Elson assay method for hyaluronidase activity

Despite their physiological importance, hyaluronidases (HAases) have long been "neglected enzymes," due, presumably, in part to the lack of rapid, sensitive assays. Currently, the colorimetric Morgan-Elson assay method, which is based upon the generation of a new reducing N-acetyl-D-glucosamine terminus with each cleavage reaction, is most widely employed but is yet insensitive. We, therefore, reinvestigated the colorimetric method and established the fluorimetric Morgan-Elson assay for HAase activity, with the optimized tetraborate reagent. The fluorimetric assay, requiring neither specialized reagents nor a long time to perform, provided high sensitivity, nearly comparable to that of enzyme-linked immunosorbent assay (ELISA)-like assays, with a detection limit of 5 x 10(-3)NFU/ml of bovine testicular HAase after 1-h incubation. The increased sensitivity permitted rapid measurement of low HAase activity in biological samples such as human and rabbit serum HAases, the latter of which has not been detected either by an ELISA-like assay or by zymography. Human serum HAase was easily characterized it along with its optimum pH and kinetic parameters.     

Infinite hidden Markov models for multiple multivariate time series with missing data

Exposure to air pollution is associated with increased morbidity and mortality. Recent technological advancements permit the collection of time-resolved personal exposure data. Such data are often incomplete with missing observations and exposures below the limit of detection, which limit their use in health effects studies. In this paper, we develop an infinite hidden Markov model for multiple asynchronous multivariate time series with missing data. Our model is designed to include covariates that can inform transitions among hidden states. We implement beam sampling, a combination of slice sampling and dynamic programming, to sample the hidden states, and a Bayesian multiple imputation algorithm to impute missing data. In simulation studies, our model excels in estimating hidden states and state-specific means and imputing observations that are missing at random or below the limit of detection. We validate our imputation approach on data from the Fort Collins Commuter Study. We show that the estimated hidden states improve imputations for data that are missing at random compared to existing approaches. In a case study of the Fort Collins Commuter Study, we describe the inferential gains obtained from our model including improved imputation of missing data and the ability to identify shared patterns in activity and exposure among repeated sampling days for individuals and among distinct individuals.     

Comparative study of a new quantitative real-time PCR targeting the xylulose-5-phosphate/fructose-6-phosphate phosphoketolase bifidobacterial gene (xfp) in faecal samples with two fluorescence in situ hybridization methods

Aims:  To detect and enumerate bifidobacteria in faeces with a new quantitative multiplex real-time PCR (qPCR) method and to compare the results obtained with fluorescence in situ hybridization (FISH) methods.
Methods and Results:  A multiplex qPCR assay was developed, which enabled the enumeration of Bifidobacterium spp. by targeting the bifidobacterial xylulose-5-phosphate/fructose-6-phosphate phosphoketolase gene ( xfp ) and total bacteria using universal Eub-primers targeting 16S rRNA gene from the domain bacteria. The qPCR assay showed high sensitivity and specificity and a low detection limit of about 2·5 × 10³ bifidobacterial cells per gram of faeces. The qPCR results were compared with FISH combined with microscopy or flow cytometry (FCM). No statistical differences among bifidobacterial counts averages measured in adult faeces with the three methods were observed. Total bacterial count averages were higher with the FISH method coupled with microscopic analyses compared to FISH with FCM, whereas total cell numbers estimated by qPCR were intermediate between the two FISH methods.
Conclusions:  The new qPCR assay was shown to be sensitive, rapid and accurate for enumerating bifidobacteria in faeces.
Significance and Impact of the Study:  This method is a valuable alternative for other molecular methods for detecting faecal bifidobacteria, especially when their counts are below the detection limit of the FISH methods.